Repository: cuga-project/cuga-agent Branch: main Commit: ff961e28fdc0 Files: 1049 Total size: 21.5 MB Directory structure: gitextract_9yecxdwb/ ├── .claude/ │ └── commands/ │ ├── cuga-commit.md │ ├── cuga-create-pr.md │ ├── cuga-new-feature.md │ ├── cuga-report-bug.md │ └── cuga-ruff-check.md ├── .cra/ │ └── .fileignore ├── .dockerignore ├── .gitattributes ├── .github/ │ ├── ISSUE_TEMPLATE/ │ │ ├── bug_report.yml │ │ ├── config.yml │ │ ├── documentation-request.yml │ │ ├── feature_request.yml │ │ └── use_case.yml │ ├── PULL_REQUEST_TEMPLATE/ │ │ ├── bugfix.md │ │ ├── chore.md │ │ ├── docs.md │ │ └── feature.md │ └── workflows/ │ ├── deploy-image-ghcr.yml │ ├── deploy-image.yml │ ├── release-pr.yml │ ├── release-tag.yml │ ├── release.yml │ ├── smoke-pip-install.yml │ ├── stability-tests.yml │ └── tests.yml ├── .gitignore ├── .pre-commit-config.yaml ├── .python-version ├── .run/ │ ├── API Registry Appworld.run.xml │ ├── API Registry Demo.run.xml │ ├── App World Eval.run.xml │ └── Cuga Demo.run.xml ├── .secrets.baseline ├── .vscode/ │ ├── launch.json │ └── settings.json ├── .whitesource ├── CONTRIBUTING.md ├── Dockerfile ├── Dockerfile.ubi ├── LICENSE ├── README.md ├── __init__.py ├── deployment/ │ ├── README.md │ ├── certs/ │ │ └── README.md │ ├── deploy-local-postgres.sh │ ├── deploy-local.sh │ ├── docker-compose/ │ │ └── openlit/ │ │ ├── docker-compose.yml │ │ ├── grafana-datasources.yaml │ │ ├── otel-collector-config.yaml │ │ ├── prometheus.yml │ │ └── tempo.yaml │ └── helm/ │ ├── cleanup-openshift.sh │ ├── cuga/ │ │ ├── Chart.yaml │ │ ├── templates/ │ │ │ ├── NOTES.txt │ │ │ ├── _helpers.tpl │ │ │ ├── deployment.yaml │ │ │ ├── pvc.yaml │ │ │ ├── route.yaml │ │ │ └── service.yaml │ │ └── values.yaml │ ├── deploy-openshift.sh │ ├── openshift.example.env │ ├── postgres-pgvector/ │ │ ├── Chart.yaml │ │ ├── README.md │ │ ├── templates/ │ │ │ ├── NOTES.txt │ │ │ ├── _helpers.tpl │ │ │ ├── configmap.yaml │ │ │ ├── deployment.yaml │ │ │ ├── pvc.yaml │ │ │ ├── secret.yaml │ │ │ └── service.yaml │ │ └── values.yaml │ ├── status-openshift.sh │ └── vault/ │ ├── Chart.yaml │ ├── templates/ │ │ └── NOTES.txt │ ├── values.openshift.yaml │ └── values.yaml ├── design.html ├── design.md ├── docs/ │ ├── examples/ │ │ ├── cuga_as_mcp/ │ │ │ ├── .python-version │ │ │ ├── README.md │ │ │ ├── main.py │ │ │ ├── mcp_servers.yaml │ │ │ ├── pyproject.toml │ │ │ └── tools_loader.py │ │ ├── cuga_with_runtime_tools/ │ │ │ ├── .gitignore │ │ │ ├── .python-version │ │ │ ├── README.md │ │ │ ├── fast_mcp_example.py │ │ │ ├── langchain_example_tool.py │ │ │ ├── main.py │ │ │ ├── mcp_servers.yaml │ │ │ └── pyproject.toml │ │ ├── demo_apps/ │ │ │ └── setup/ │ │ │ ├── README.md │ │ │ ├── cli.py │ │ │ └── pyproject.toml │ │ ├── digital_sales_openapi/ │ │ │ └── main.py │ │ ├── evaluation/ │ │ │ ├── input_example.json │ │ │ └── input_schema.json │ │ └── langflow/ │ │ └── CUGA Langflow Demo - Conference Preparation.json │ ├── flags.html │ ├── memory/ │ │ └── README.md │ └── sales_app.html ├── pyproject.toml ├── readme_cuga_lite_kaizen.md ├── ruff.toml ├── run_stability_tests.py ├── scripts/ │ ├── deploy-image.sh │ ├── docker-entrypoint.sh │ └── smoke_pip_install_isolated.sh ├── src/ │ ├── cuga/ │ │ ├── __init__.py │ │ ├── backend/ │ │ │ ├── __init__.py │ │ │ ├── activity_tracker/ │ │ │ │ ├── __init__.py │ │ │ │ ├── join_tool.py │ │ │ │ ├── render_helper.py │ │ │ │ └── tracker.py │ │ │ ├── browser_env/ │ │ │ │ ├── __init__.py │ │ │ │ ├── browser/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── chat_async.py │ │ │ │ │ ├── env.py │ │ │ │ │ ├── extension_env_async.py │ │ │ │ │ ├── gym_env.py │ │ │ │ │ ├── gym_env_async.py │ │ │ │ │ ├── gym_obs/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── extract_chrome_extension.py │ │ │ │ │ │ ├── http_stream_comm.py │ │ │ │ │ │ ├── javascript/ │ │ │ │ │ │ │ ├── frame_mark_elements.js │ │ │ │ │ │ │ └── frame_unmark_elements.js │ │ │ │ │ │ ├── obs.py │ │ │ │ │ │ ├── obs_async.py │ │ │ │ │ │ └── websocket_server.py │ │ │ │ │ ├── open_ended_async.py │ │ │ │ │ ├── utils.py │ │ │ │ │ └── utils_async.py │ │ │ │ ├── page_understanding/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── extension_processor.py │ │ │ │ │ ├── extractor_utils/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── extract_async.py │ │ │ │ │ │ └── javascript/ │ │ │ │ │ │ ├── frame_mark_elements.js │ │ │ │ │ │ └── frame_unmark_elements.js │ │ │ │ │ ├── nocodeui_pu_utils/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── model.py │ │ │ │ │ │ ├── nocode_utils.py │ │ │ │ │ │ └── rules.yaml │ │ │ │ │ ├── pu_extractor.py │ │ │ │ │ ├── pu_extractor_chrome_extension.py │ │ │ │ │ ├── pu_processor.py │ │ │ │ │ ├── pu_transform.py │ │ │ │ │ ├── tranformer_utils/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── dom_transform_utils.py │ │ │ │ │ │ └── transform_utils.py │ │ │ │ │ └── types/ │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── dom_tree_types.py │ │ │ │ │ └── validate_structure.py │ │ │ │ └── tools/ │ │ │ │ ├── __init__.py │ │ │ │ ├── extension_commands.py │ │ │ │ ├── playwright_commands.py │ │ │ │ └── providers.py │ │ │ ├── cuga_graph/ │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── graph.py │ │ │ │ ├── nodes/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── answer/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── final_answer.py │ │ │ │ │ │ └── final_answer_agent/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── final_answer_agent.py │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ ├── system_appworld.jinja2 │ │ │ │ │ │ ├── system_appworld_plain.jinja2 │ │ │ │ │ │ ├── system_concise.jinja2 │ │ │ │ │ │ ├── system_long.jinja2 │ │ │ │ │ │ ├── user_msg.jinja2 │ │ │ │ │ │ ├── user_msg_appworld.jinja2 │ │ │ │ │ │ └── user_msg_appworld_plain.jinja2 │ │ │ │ │ ├── api/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── api_agent_utils/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ └── utils.py │ │ │ │ │ │ ├── api_code_agent.py │ │ │ │ │ │ ├── api_code_planner.py │ │ │ │ │ │ ├── api_code_planner_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── api_code_planner_agent.py │ │ │ │ │ │ │ ├── api_planner_prompt_v1.md │ │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ │ ├── system.backup.jinja2 │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ ├── system_fast.jinja2 │ │ │ │ │ │ │ ├── system_high_level_no_relation_to_vars.jinja2 │ │ │ │ │ │ │ ├── test.md │ │ │ │ │ │ │ └── user.jinja2 │ │ │ │ │ │ ├── api_planner.py │ │ │ │ │ │ ├── api_planner_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── api_planner_agent.py │ │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ ├── system_hitl.jinja2 │ │ │ │ │ │ │ ├── system_long_task_good.jinja2 │ │ │ │ │ │ │ ├── system_no_few_shots_thoughts_as_list.jinja2 │ │ │ │ │ │ │ ├── system_short.jinja2 │ │ │ │ │ │ │ ├── system_success_on_long_template.jinja2 │ │ │ │ │ │ │ ├── system_v2.jinja2 │ │ │ │ │ │ │ ├── user.jinja2 │ │ │ │ │ │ │ ├── user_hitl.jinja2 │ │ │ │ │ │ │ └── user_v2.jinja2 │ │ │ │ │ │ ├── api_shortlister.py │ │ │ │ │ │ ├── code_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── code_act_agent.py │ │ │ │ │ │ │ ├── code_agent.py │ │ │ │ │ │ │ ├── model.py │ │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ │ ├── system_accurate.jinja2 │ │ │ │ │ │ │ ├── system_fast.jinja2 │ │ │ │ │ │ │ ├── system_no_plan.jinja2 │ │ │ │ │ │ │ ├── user.jinja2 │ │ │ │ │ │ │ └── user_no_plan.jinja2 │ │ │ │ │ │ ├── shortlister_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ │ ├── system_parameters.jinja2 │ │ │ │ │ │ │ │ ├── user.jinja2 │ │ │ │ │ │ │ │ └── user_parameters.jinja2 │ │ │ │ │ │ │ └── shortlister_agent.py │ │ │ │ │ │ ├── tasks/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ │ ├── reflection_system.jinja2 │ │ │ │ │ │ │ │ ├── reflection_user.jinja2 │ │ │ │ │ │ │ │ ├── summary_system.jinja2 │ │ │ │ │ │ │ │ └── summary_user.jinja2 │ │ │ │ │ │ │ ├── reflection.py │ │ │ │ │ │ │ └── summarize_code.py │ │ │ │ │ │ └── variables_manager/ │ │ │ │ │ │ └── tests/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── data.json │ │ │ │ │ │ ├── test_manager.py │ │ │ │ │ │ └── test_value_preview.py │ │ │ │ │ ├── browser/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── action.py │ │ │ │ │ │ ├── action_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── action_agent.py │ │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ │ └── user.jinja2 │ │ │ │ │ │ │ ├── ranker_output.json │ │ │ │ │ │ │ └── tools/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── alert.py │ │ │ │ │ │ │ ├── tool_processor.py │ │ │ │ │ │ │ └── tools.py │ │ │ │ │ │ ├── browser_planner.py │ │ │ │ │ │ ├── browser_planner_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── browser_planner_agent.py │ │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ ├── test.json │ │ │ │ │ │ │ └── user.jinja2 │ │ │ │ │ │ ├── qa_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ │ └── user_msg.jinja2 │ │ │ │ │ │ │ └── qa_agent.py │ │ │ │ │ │ └── qa_agent_node.py │ │ │ │ │ ├── chat/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── chat.py │ │ │ │ │ │ └── chat_agent/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── chat_agent.py │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ ├── pmt.jinja2 │ │ │ │ │ │ ├── pmt_chat.jinja2 │ │ │ │ │ │ └── pmt_with_variables_mentioning.jinja2 │ │ │ │ │ ├── cuga_lite/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── combined_tool_provider.py │ │ │ │ │ │ ├── cuga_lite_graph.py │ │ │ │ │ │ ├── cuga_lite_node.py │ │ │ │ │ │ ├── direct_langchain_tools_provider.py │ │ │ │ │ │ ├── executors/ │ │ │ │ │ │ │ ├── README.md │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── base_executor.py │ │ │ │ │ │ │ ├── code_executor.py │ │ │ │ │ │ │ ├── common/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ ├── benchmark_mode.py │ │ │ │ │ │ │ │ ├── call_api_helper.py │ │ │ │ │ │ │ │ ├── code_wrapper.py │ │ │ │ │ │ │ │ ├── restricted_environment.py │ │ │ │ │ │ │ │ ├── security.py │ │ │ │ │ │ │ │ └── variable_utils.py │ │ │ │ │ │ │ ├── docker/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── docker_executor.py │ │ │ │ │ │ │ ├── e2b/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── e2b_executor.py │ │ │ │ │ │ │ ├── local/ │ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ │ └── local_executor.py │ │ │ │ │ │ │ └── tests/ │ │ │ │ │ │ │ ├── test_api_calls_with_print.py │ │ │ │ │ │ │ ├── test_code_executor.py │ │ │ │ │ │ │ ├── test_e2b_direct.py │ │ │ │ │ │ │ ├── test_e2b_lite.py │ │ │ │ │ │ │ ├── test_extract_codeblocks.py │ │ │ │ │ │ │ ├── test_sync_async_tools.py │ │ │ │ │ │ │ ├── test_tool_call_timeout.py │ │ │ │ │ │ │ └── test_variable_creation_order.py │ │ │ │ │ │ ├── nl_auto_continue_classifier.py │ │ │ │ │ │ ├── prompt_utils.py │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ ├── mcp_prompt.jinja2 │ │ │ │ │ │ │ └── shortlister/ │ │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ │ └── user.jinja2 │ │ │ │ │ │ ├── reflection/ │ │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ │ ├── reflection_system.jinja2 │ │ │ │ │ │ │ │ └── reflection_user.jinja2 │ │ │ │ │ │ │ └── reflection.py │ │ │ │ │ │ ├── tests/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── test_cuga_lite_graph_evolve_guidelines.py │ │ │ │ │ │ │ ├── test_cuga_lite_node.py │ │ │ │ │ │ │ └── test_tool_call_args.py │ │ │ │ │ │ ├── tool_approval_handler.py │ │ │ │ │ │ ├── tool_call_args.py │ │ │ │ │ │ ├── tool_call_tracker.py │ │ │ │ │ │ ├── tool_provider_interface.py │ │ │ │ │ │ └── tool_registry_provider.py │ │ │ │ │ ├── cuga_supervisor/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── a2a_protocol.py │ │ │ │ │ │ ├── cuga_supervisor_graph.py │ │ │ │ │ │ ├── cuga_supervisor_node.py │ │ │ │ │ │ ├── cuga_supervisor_state.py │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ └── supervisor_lite_prompt.jinja2 │ │ │ │ │ ├── human_in_the_loop/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── followup_model.py │ │ │ │ │ │ ├── suggest_actions.py │ │ │ │ │ │ └── wait_for_response.py │ │ │ │ │ ├── save_reuse/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── save_reuse_agent/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ │ ├── explainbility.jinja2 │ │ │ │ │ │ │ │ ├── explainbility_user.jinja2 │ │ │ │ │ │ │ │ ├── save_reuse.jinja2 │ │ │ │ │ │ │ │ └── save_reuse_user.jinja2 │ │ │ │ │ │ │ ├── reuse_agent.py │ │ │ │ │ │ │ └── utils/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ ├── export_mcp.py │ │ │ │ │ │ │ └── save_reuse.py │ │ │ │ │ │ └── save_reuse_node.py │ │ │ │ │ ├── shared/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── base_agent.py │ │ │ │ │ │ ├── base_node.py │ │ │ │ │ │ ├── interrupt_tool_node.py │ │ │ │ │ │ └── location_solver.py │ │ │ │ │ └── task_decomposition_planning/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── analyze_task.py │ │ │ │ │ ├── location_resolver_agent/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── google_search_agent.py │ │ │ │ │ │ └── location_resolver_agent.py │ │ │ │ │ ├── plan_controller.py │ │ │ │ │ ├── plan_controller_agent/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── plan_controller_agent.py │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── example.json │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ └── user.jinja2 │ │ │ │ │ ├── task_analyzer_agent/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ │ └── load_prompt.py │ │ │ │ │ │ ├── task_analyzer_agent.py │ │ │ │ │ │ └── tasks/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── app_matcher.py │ │ │ │ │ │ ├── classify_task.py │ │ │ │ │ │ ├── navigation_paths_task.py │ │ │ │ │ │ ├── paraphrase.py │ │ │ │ │ │ └── prompts/ │ │ │ │ │ │ ├── app_matcher_system.jinja2 │ │ │ │ │ │ ├── app_matcher_user.jinja2 │ │ │ │ │ │ ├── classify_task_system.jinja2 │ │ │ │ │ │ ├── classify_task_user.jinja2 │ │ │ │ │ │ ├── navigation_paths_system.jinja2 │ │ │ │ │ │ ├── navigation_paths_user.jinja2 │ │ │ │ │ │ ├── paraphrase_system.jinja2 │ │ │ │ │ │ ├── paraphrase_user.jinja2 │ │ │ │ │ │ └── sitemap_gitlab.json │ │ │ │ │ ├── task_decomposition.py │ │ │ │ │ └── task_decomposition_agent/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── prompts/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── load_prompt.py │ │ │ │ │ │ ├── system.jinja2 │ │ │ │ │ │ ├── system_multi.jinja2 │ │ │ │ │ │ ├── user_msg.jinja2 │ │ │ │ │ │ └── user_multi.jinja2 │ │ │ │ │ ├── prompts_experiments/ │ │ │ │ │ │ ├── HighLevelPrompt.jinja │ │ │ │ │ │ ├── Prompt.jinja │ │ │ │ │ │ ├── Task Decomposition prompt json.jinja │ │ │ │ │ │ ├── Task Decomposition prompt.jinja │ │ │ │ │ │ ├── Task Decomposition prompts.txt │ │ │ │ │ │ ├── Tests_Azure_4o-mini.txt │ │ │ │ │ │ └── Tests_Azure_4o.txt │ │ │ │ │ └── task_decomposition_agent.py │ │ │ │ ├── policy/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── agent.py │ │ │ │ │ ├── cli.py │ │ │ │ │ ├── configurable.py │ │ │ │ │ ├── enactment.py │ │ │ │ │ ├── examples.py │ │ │ │ │ ├── filesystem_sync.py │ │ │ │ │ ├── folder_loader.py │ │ │ │ │ ├── models.py │ │ │ │ │ ├── output_formatter_utils.py │ │ │ │ │ ├── storage.py │ │ │ │ │ ├── tests/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── helpers.py │ │ │ │ │ │ ├── test_e2e_healthcare_family_claims.py │ │ │ │ │ │ ├── test_e2e_intent_guard.py │ │ │ │ │ │ ├── test_e2e_intent_guard_priority.py │ │ │ │ │ │ ├── test_e2e_output_formatter.py │ │ │ │ │ │ ├── test_e2e_playbook_guidance.py │ │ │ │ │ │ ├── test_e2e_playbook_refinement.py │ │ │ │ │ │ ├── test_e2e_tool_enrichment.py │ │ │ │ │ │ ├── test_filesystem_sync.py │ │ │ │ │ │ ├── test_keyword_operator.py │ │ │ │ │ │ ├── test_nl_trigger_conflict_resolution.py │ │ │ │ │ │ ├── test_similarity_integration.py │ │ │ │ │ │ ├── test_tool_approval_full_graph.py │ │ │ │ │ │ └── test_utils.py │ │ │ │ │ └── utils.py │ │ │ │ ├── state/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── agent_state.py │ │ │ │ │ └── api_planner_history.py │ │ │ │ └── utils/ │ │ │ │ ├── __init__.py │ │ │ │ ├── agent_loop.py │ │ │ │ ├── context_management_utils.py │ │ │ │ ├── context_summarizer.py │ │ │ │ ├── controller.py │ │ │ │ ├── event_porcessors/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── action_agent_event_processor.py │ │ │ │ ├── message_utils.py │ │ │ │ ├── nodes_names.py │ │ │ │ └── token_counter.py │ │ │ ├── evolve/ │ │ │ │ ├── __init__.py │ │ │ │ ├── integration.py │ │ │ │ └── tests/ │ │ │ │ ├── __init__.py │ │ │ │ ├── test_integration.py │ │ │ │ └── test_launch_config.py │ │ │ ├── knowledge/ │ │ │ │ ├── __init__.py │ │ │ │ ├── auth.py │ │ │ │ ├── awareness.py │ │ │ │ ├── client.py │ │ │ │ ├── config.py │ │ │ │ ├── engine.py │ │ │ │ ├── interprocess_lock.py │ │ │ │ ├── mcp_server.py │ │ │ │ ├── metadata/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── base.py │ │ │ │ │ ├── postgres_store.py │ │ │ │ │ └── sqlite_store.py │ │ │ │ ├── routes.py │ │ │ │ ├── session_provider.py │ │ │ │ ├── shopping_admin/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── sitemap.txt │ │ │ │ │ ├── sitemap_js.txt │ │ │ │ │ └── sitemap_md.txt │ │ │ │ ├── storage/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── adapter.py │ │ │ │ │ ├── local.py │ │ │ │ │ ├── prod.py │ │ │ │ │ └── schema.py │ │ │ │ ├── vector_store.py │ │ │ │ └── vector_store_base.py │ │ │ ├── llm/ │ │ │ │ ├── __init__.py │ │ │ │ ├── config.py │ │ │ │ ├── errors.py │ │ │ │ ├── models.py │ │ │ │ ├── rits/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── chat_rits_llm.py │ │ │ │ │ └── rits_llm.py │ │ │ │ └── utils/ │ │ │ │ ├── __init__.py │ │ │ │ └── helpers.py │ │ │ ├── observability/ │ │ │ │ ├── __init__.py │ │ │ │ └── openlit_init.py │ │ │ ├── secrets/ │ │ │ │ ├── __init__.py │ │ │ │ ├── backends/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── aws_backend.py │ │ │ │ │ ├── base.py │ │ │ │ │ ├── db_backend.py │ │ │ │ │ ├── env_backend.py │ │ │ │ │ └── vault_backend.py │ │ │ │ ├── models.py │ │ │ │ ├── secret_resolver.py │ │ │ │ └── seed.py │ │ │ ├── server/ │ │ │ │ ├── __init__.py │ │ │ │ ├── auth/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── dependencies.py │ │ │ │ │ ├── issuer_allowlist.py │ │ │ │ │ ├── jwt_validator.py │ │ │ │ │ ├── models.py │ │ │ │ │ └── oidc_client.py │ │ │ │ ├── config_store.py │ │ │ │ ├── conversation_history.py │ │ │ │ ├── debug_server.py │ │ │ │ ├── demo_manage_setup.py │ │ │ │ ├── demo_setup_utils/ │ │ │ │ │ └── oak_policies.json │ │ │ │ ├── event_stream_handler.py │ │ │ │ ├── main.py │ │ │ │ ├── manage_routes.py │ │ │ │ ├── managed_mcp.py │ │ │ │ ├── mcp_servers/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── cuga.py │ │ │ │ │ └── tests/ │ │ │ │ │ └── __init__.py │ │ │ │ ├── secrets_routes.py │ │ │ │ └── server-manager.sh │ │ │ ├── storage/ │ │ │ │ ├── __init__.py │ │ │ │ ├── embedding/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── base.py │ │ │ │ │ ├── embedding_service.py │ │ │ │ │ ├── local.py │ │ │ │ │ └── prod.py │ │ │ │ ├── facade.py │ │ │ │ ├── policy/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── base.py │ │ │ │ │ ├── local.py │ │ │ │ │ └── prod.py │ │ │ │ ├── relational/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── base.py │ │ │ │ │ ├── local.py │ │ │ │ │ └── prod.py │ │ │ │ └── secrets_store.py │ │ │ ├── tools_env/ │ │ │ │ ├── __init__.py │ │ │ │ ├── code_sandbox/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── e2b_sandbox.py │ │ │ │ │ ├── sandbox.py │ │ │ │ │ └── tests/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── test_sandbox.py │ │ │ │ └── registry/ │ │ │ │ ├── QUICKSTART.md │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── config/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── config_loader.py │ │ │ │ │ ├── mcp_servers.yaml │ │ │ │ │ ├── mcp_servers_appworld.yaml │ │ │ │ │ ├── mcp_servers_crm.yaml │ │ │ │ │ ├── mcp_servers_hf.yaml │ │ │ │ │ ├── mcp_servers_wxo.yaml │ │ │ │ │ └── supervisor_demo_crm.yaml │ │ │ │ ├── example_api_servers/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ └── petstore.py │ │ │ │ ├── mcp_manager/ │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── adapter.py │ │ │ │ │ ├── mcp_manager.py │ │ │ │ │ ├── openapi_parser.py │ │ │ │ │ ├── openapi_parser_v0.py │ │ │ │ │ ├── openapi_parser_v1.py │ │ │ │ │ ├── response_schema.py │ │ │ │ │ └── tests/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── test_api_response.py │ │ │ │ │ ├── test_array_handling.py │ │ │ │ │ └── test_path_ext.py │ │ │ │ ├── registry/ │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── api_registry.py │ │ │ │ │ ├── api_registry_server.py │ │ │ │ │ ├── authentication/ │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── appworld_auth_manager.py │ │ │ │ │ │ └── base_auth_manager.py │ │ │ │ │ └── test_naming_strategy_e2e.py │ │ │ │ ├── tests/ │ │ │ │ │ ├── README.md │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── config/ │ │ │ │ │ │ └── mcp_servers_test.yaml │ │ │ │ │ ├── data/ │ │ │ │ │ │ └── schemas/ │ │ │ │ │ │ └── openapi_nested.yaml │ │ │ │ │ ├── e2e_helpers.py │ │ │ │ │ ├── output_schema_server.py │ │ │ │ │ ├── run_all_tests.py │ │ │ │ │ ├── test_agent_registry_loading.py │ │ │ │ │ ├── test_api_registry_error_handling.py │ │ │ │ │ ├── test_auth/ │ │ │ │ │ │ ├── README.md │ │ │ │ │ │ ├── __init__.py │ │ │ │ │ │ ├── auth_server.py │ │ │ │ │ │ ├── mcp_servers_auth_test.yaml │ │ │ │ │ │ ├── test_apply_authentication.py │ │ │ │ │ │ └── test_auth_e2e.py │ │ │ │ │ ├── test_e2e_api_registry.py │ │ │ │ │ ├── test_enum_handling.py │ │ │ │ │ ├── test_legacy_openapi.py │ │ │ │ │ ├── test_mcp_server.py │ │ │ │ │ ├── test_mixed_configuration.py │ │ │ │ │ └── test_output_schema.py │ │ │ │ └── utils/ │ │ │ │ ├── __init__.py │ │ │ │ ├── api_utils.py │ │ │ │ └── types.py │ │ │ └── utils/ │ │ │ ├── __init__.py │ │ │ ├── code_generator.py │ │ │ ├── consts.py │ │ │ ├── file_utils.py │ │ │ └── id_utils.py │ │ ├── cli/ │ │ │ ├── __init__.py │ │ │ ├── app_manager.py │ │ │ └── main.py │ │ ├── config.py │ │ ├── configurations/ │ │ │ ├── instructions/ │ │ │ │ ├── default/ │ │ │ │ │ ├── answer.md │ │ │ │ │ ├── api_code_planner.md │ │ │ │ │ ├── api_planner.md │ │ │ │ │ ├── code_agent.md │ │ │ │ │ ├── plan_controller.md │ │ │ │ │ ├── reflection.md │ │ │ │ │ ├── shortlister.md │ │ │ │ │ └── task_decomposition.md │ │ │ │ └── instructions.toml │ │ │ ├── instructions_manager.py │ │ │ ├── knowledge/ │ │ │ │ ├── knowledge_instructions.md │ │ │ │ ├── knowledge_profiles/ │ │ │ │ │ ├── balanced.toml │ │ │ │ │ ├── max_quality.toml │ │ │ │ │ ├── speed.toml │ │ │ │ │ └── standard.toml │ │ │ │ └── knowledge_settings.toml │ │ │ ├── memory/ │ │ │ │ ├── memory_settings.mem0.toml │ │ │ │ ├── memory_settings.milvus.toml │ │ │ │ └── memory_settings.tips_extractor.toml │ │ │ ├── models/ │ │ │ │ ├── settings.azure.toml │ │ │ │ ├── settings.google.toml │ │ │ │ ├── settings.groq.toml │ │ │ │ ├── settings.litellm.toml │ │ │ │ ├── settings.openai.toml │ │ │ │ ├── settings.openrouter.toml │ │ │ │ ├── settings.rits.toml │ │ │ │ └── settings.watsonx.toml │ │ │ ├── modes/ │ │ │ │ ├── accurate.toml │ │ │ │ ├── balanced.toml │ │ │ │ ├── custom.toml │ │ │ │ ├── fast.toml │ │ │ │ └── save_reuse_fast.toml │ │ │ └── set_from_one_file.py │ │ ├── demo_tools/ │ │ │ ├── __init__.py │ │ │ ├── crm/ │ │ │ │ ├── .gitignore │ │ │ │ ├── LICENSE │ │ │ │ ├── MANIFEST.in │ │ │ │ ├── README.md │ │ │ │ ├── __init__.py │ │ │ │ ├── crm_api/ │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── accounts.py │ │ │ │ │ ├── contacts.py │ │ │ │ │ ├── crud.py │ │ │ │ │ ├── database.py │ │ │ │ │ ├── leads.py │ │ │ │ │ ├── main.py │ │ │ │ │ ├── opportunities.py │ │ │ │ │ ├── run_all.py │ │ │ │ │ ├── schemas.py │ │ │ │ │ ├── seed_data.py │ │ │ │ │ └── wrap_as_mcp.py │ │ │ │ ├── pytest.ini │ │ │ │ ├── run.py │ │ │ │ ├── run_tests.py │ │ │ │ ├── tests/ │ │ │ │ │ ├── conftest.py │ │ │ │ │ ├── test_contacts.py │ │ │ │ │ └── test_workspace_workflow.py │ │ │ │ └── wrap_as_mcp.py │ │ │ ├── docs_mcp/ │ │ │ │ └── docs_mcp_server.py │ │ │ ├── email_mcp/ │ │ │ │ ├── mail_sink/ │ │ │ │ │ ├── .gitignore │ │ │ │ │ └── server.py │ │ │ │ └── mcp_server/ │ │ │ │ ├── server.py │ │ │ │ └── utils.py │ │ │ ├── file_system/ │ │ │ │ └── main.py │ │ │ ├── health/ │ │ │ │ └── README.md │ │ │ └── huggingface/ │ │ │ ├── contacts.txt │ │ │ ├── cuga_knowledge.md │ │ │ ├── cuga_playbook.md │ │ │ └── email_template.md │ │ ├── evaluation/ │ │ │ ├── README.md │ │ │ ├── calculate_test_score.py │ │ │ ├── evaluate_cuga.py │ │ │ └── langfuse/ │ │ │ └── get_langfuse_data.py │ │ ├── frontend/ │ │ │ └── dist/ │ │ │ ├── background.js │ │ │ ├── index.html │ │ │ ├── main.fbff5b207d7495606137.js │ │ │ ├── manifest.json │ │ │ ├── tailwind.js │ │ │ └── vendors.89d8d26b14ea275079ad.js │ │ ├── sdk.py │ │ ├── sdk_core/ │ │ │ └── tests/ │ │ │ ├── conversation_messages.json │ │ │ ├── fixtures/ │ │ │ │ └── supervisor_config.yaml │ │ │ ├── policies-export-2025-12-31.json │ │ │ ├── test_context_summarization_sdk.py │ │ │ ├── test_policy_loading_and_matching.py │ │ │ ├── test_policy_reset_and_reload.py │ │ │ ├── test_sdk_integration.py │ │ │ ├── test_sdk_policies.py │ │ │ ├── test_supervisor_advanced.py │ │ │ └── test_supervisor_yaml_config.py │ │ ├── settings.toml │ │ └── supervisor_utils/ │ │ ├── __init__.py │ │ └── supervisor_config.py │ ├── frontend_workspaces/ │ │ ├── .gitignore │ │ ├── README.md │ │ ├── __init__.py │ │ ├── agentic_chat/ │ │ │ ├── global.d.ts │ │ │ ├── package.json │ │ │ ├── public/ │ │ │ │ └── fake_data.json │ │ │ ├── src/ │ │ │ │ ├── AdvancedTourButton.css │ │ │ │ ├── AdvancedTourButton.tsx │ │ │ │ ├── AgentBehaviorConfig.tsx │ │ │ │ ├── AgentHumanConfig.tsx │ │ │ │ ├── App.tsx │ │ │ │ ├── AppLayout.css │ │ │ │ ├── CardManager.css │ │ │ │ ├── CardManager.tsx │ │ │ │ ├── ConfigHeader.css │ │ │ │ ├── ConfigHeader.tsx │ │ │ │ ├── ConfigModal.css │ │ │ │ ├── CugaHeader.tsx │ │ │ │ ├── CustomChat.css │ │ │ │ ├── CustomChat.tsx │ │ │ │ ├── CustomResponseStyles.css │ │ │ │ ├── DebugPanel.css │ │ │ │ ├── DebugPanel.tsx │ │ │ │ ├── FileAutocomplete.css │ │ │ │ ├── FileAutocomplete.tsx │ │ │ │ ├── Followup.tsx │ │ │ │ ├── FollowupSuggestions.css │ │ │ │ ├── FollowupSuggestions.tsx │ │ │ │ ├── GuidedTour.css │ │ │ │ ├── GuidedTour.tsx │ │ │ │ ├── KnowledgeConfig.tsx │ │ │ │ ├── KnowledgePanel.tsx │ │ │ │ ├── KnowledgeSidePanel.css │ │ │ │ ├── KnowledgeSidePanel.tsx │ │ │ │ ├── LeftSidebar.css │ │ │ │ ├── LeftSidebar.tsx │ │ │ │ ├── MemoryConfig.tsx │ │ │ │ ├── ModelConfig.tsx │ │ │ │ ├── PoliciesConfig.tsx │ │ │ │ ├── PolicyBlockComponent.css │ │ │ │ ├── PolicyBlockComponent.tsx │ │ │ │ ├── PolicyPlaybookComponent.css │ │ │ │ ├── PolicyPlaybookComponent.tsx │ │ │ │ ├── SessionAttachments.tsx │ │ │ │ ├── StatusBar.css │ │ │ │ ├── StatusBar.tsx │ │ │ │ ├── StreamManager.tsx │ │ │ │ ├── StreamingManager.ts │ │ │ │ ├── StreamingWorkflow.ts │ │ │ │ ├── SubAgentsConfig.tsx │ │ │ │ ├── ToolReview.tsx │ │ │ │ ├── ToolsConfig.tsx │ │ │ │ ├── VariablePopup.css │ │ │ │ ├── VariablePopup.tsx │ │ │ │ ├── VariablesSidebar.css │ │ │ │ ├── VariablesSidebar.tsx │ │ │ │ ├── WorkspacePanel.css │ │ │ │ ├── WorkspacePanel.tsx │ │ │ │ ├── WriteableElementExample.css │ │ │ │ ├── action_agent.tsx │ │ │ │ ├── action_status_component.tsx │ │ │ │ ├── app_analyzer_component.tsx │ │ │ │ ├── coder_agent_output.tsx │ │ │ │ ├── constants.ts │ │ │ │ ├── customSendMessage.ts │ │ │ │ ├── exampleUtterances.ts │ │ │ │ ├── final_answer_component.tsx │ │ │ │ ├── floating/ │ │ │ │ │ └── stop_button.tsx │ │ │ │ ├── generic_component.tsx │ │ │ │ ├── mockApi.ts │ │ │ │ ├── qa_agent.tsx │ │ │ │ ├── renderUserDefinedResponse.tsx │ │ │ │ ├── shortlister.tsx │ │ │ │ ├── task_decomposition.tsx │ │ │ │ ├── task_status_component.tsx │ │ │ │ ├── useTour.ts │ │ │ │ ├── useWorkspaceTree.ts │ │ │ │ ├── uuid.ts │ │ │ │ ├── workspaceService.ts │ │ │ │ └── workspaceThrottle.ts │ │ │ ├── tsconfig.app.json │ │ │ ├── tsconfig.json │ │ │ ├── tsconfig.node.json │ │ │ └── vite.config.ts │ │ ├── extension/ │ │ │ ├── .editorconfig │ │ │ ├── .gitignore │ │ │ ├── constants.ts │ │ │ ├── package.json │ │ │ ├── playwright.config.ts │ │ │ ├── readme.md │ │ │ ├── releases/ │ │ │ │ └── chrome-mv3/ │ │ │ │ ├── assets/ │ │ │ │ │ └── sidepanel-Bm0DOHi9.css │ │ │ │ ├── background.js │ │ │ │ ├── chunks/ │ │ │ │ │ ├── DailyMotion-Mu-1s4ir.js │ │ │ │ │ ├── Facebook-CbG0_jez.js │ │ │ │ │ ├── FilePlayer-CYjbWbG8.js │ │ │ │ │ ├── Kaltura-BDM2l5do.js │ │ │ │ │ ├── Mixcloud-jUDy-IoK.js │ │ │ │ │ ├── Mux-BSWrBpZP.js │ │ │ │ │ ├── Preview-of7xUcD9.js │ │ │ │ │ ├── SoundCloud-C1q3o5ey.js │ │ │ │ │ ├── Streamable-BsCvFyja.js │ │ │ │ │ ├── Twitch-K5Lc2N4C.js │ │ │ │ │ ├── Vidyard-N6MhfVze.js │ │ │ │ │ ├── Vimeo-C2ru3W0B.js │ │ │ │ │ ├── Wistia-DBD0XvkL.js │ │ │ │ │ ├── YouTube-8naRW_9O.js │ │ │ │ │ ├── ar-BqPjhJxT.js │ │ │ │ │ ├── ar-dz-DyZwJqCp.js │ │ │ │ │ ├── ar-kw-0W-ym3nk.js │ │ │ │ │ ├── ar-ly-1r7VuSmV.js │ │ │ │ │ ├── ar-ma-C8a5fRTZ.js │ │ │ │ │ ├── ar-sa-LX3Zlta0.js │ │ │ │ │ ├── ar-tn-9PwKM2NI.js │ │ │ │ │ ├── chat.export-Civ2zEoT.js │ │ │ │ │ ├── chat.export.carbon-x9hVoQbk.js │ │ │ │ │ ├── common-D6sVSfnG.js │ │ │ │ │ ├── cs-C9atpGa0.js │ │ │ │ │ ├── de-DTzGRoiG.js │ │ │ │ │ ├── de-at-DM5xnk44.js │ │ │ │ │ ├── de-ch-C9PZsiWh.js │ │ │ │ │ ├── en-au-DKKQ7o_a.js │ │ │ │ │ ├── en-ca-Bsp7ASfx.js │ │ │ │ │ ├── en-gb-BZNi8AbR.js │ │ │ │ │ ├── en-ie-DvDRqUel.js │ │ │ │ │ ├── en-il-DPvmOO-u.js │ │ │ │ │ ├── en-nz-CLOrpKu9.js │ │ │ │ │ ├── es-_25F1VNE.js │ │ │ │ │ ├── es-do-3T87tC4C.js │ │ │ │ │ ├── es-us-BfRgSno2.js │ │ │ │ │ ├── fr-C2PP_RDY.js │ │ │ │ │ ├── fr-ca-l2g_8cqb.js │ │ │ │ │ ├── fr-ch-Cj9LWtf4.js │ │ │ │ │ ├── index-7KKzZJbI.js │ │ │ │ │ ├── index-B9FHQ1q8.js │ │ │ │ │ ├── index-aSW4scoW.js │ │ │ │ │ ├── it-BmAWTxOq.js │ │ │ │ │ ├── it-ch-CqrZ_w7Y.js │ │ │ │ │ ├── ja-bDUE5UJb.js │ │ │ │ │ ├── ko-BS2Hu1tA.js │ │ │ │ │ ├── nl-Bgmo7MMX.js │ │ │ │ │ ├── pt-DwX7O4_L.js │ │ │ │ │ ├── pt-br-Gzdc6c2B.js │ │ │ │ │ ├── sidepanel-DjwwbR2c.js │ │ │ │ │ ├── swiper-react-1kjVGWrh.js │ │ │ │ │ ├── sync-D0xm7If2.js │ │ │ │ │ ├── utils-D71RtZIR.js │ │ │ │ │ ├── zh-cn-BoLpJCZk.js │ │ │ │ │ └── zh-tw-Ck9WD2i8.js │ │ │ │ ├── content-scripts/ │ │ │ │ │ └── content.js │ │ │ │ ├── fonts/ │ │ │ │ │ └── IBM-Plex-Sans/ │ │ │ │ │ └── fonts/ │ │ │ │ │ ├── complete/ │ │ │ │ │ │ ├── woff/ │ │ │ │ │ │ │ └── license.txt │ │ │ │ │ │ └── woff2/ │ │ │ │ │ │ └── license.txt │ │ │ │ │ └── split/ │ │ │ │ │ ├── woff/ │ │ │ │ │ │ ├── IBMPlexSans-Bold.css │ │ │ │ │ │ ├── IBMPlexSans-BoldItalic.css │ │ │ │ │ │ ├── IBMPlexSans-ExtraLight.css │ │ │ │ │ │ ├── IBMPlexSans-ExtraLightItalic.css │ │ │ │ │ │ ├── IBMPlexSans-Italic.css │ │ │ │ │ │ ├── IBMPlexSans-Light.css │ │ │ │ │ │ ├── IBMPlexSans-LightItalic.css │ │ │ │ │ │ ├── IBMPlexSans-Medium.css │ │ │ │ │ │ ├── IBMPlexSans-MediumItalic.css │ │ │ │ │ │ ├── IBMPlexSans-Regular.css │ │ │ │ │ │ ├── IBMPlexSans-SemiBold.css │ │ │ │ │ │ ├── IBMPlexSans-SemiBoldItalic.css │ │ │ │ │ │ ├── IBMPlexSans-Text.css │ │ │ │ │ │ ├── IBMPlexSans-TextItalic.css │ │ │ │ │ │ ├── IBMPlexSans-Thin.css │ │ │ │ │ │ ├── IBMPlexSans-ThinItalic.css │ │ │ │ │ │ └── license.txt │ │ │ │ │ └── woff2/ │ │ │ │ │ ├── IBMPlexSans-Bold.css │ │ │ │ │ ├── IBMPlexSans-BoldItalic.css │ │ │ │ │ ├── IBMPlexSans-ExtraLight.css │ │ │ │ │ ├── IBMPlexSans-ExtraLightItalic.css │ │ │ │ │ ├── IBMPlexSans-Italic.css │ │ │ │ │ ├── IBMPlexSans-Light.css │ │ │ │ │ ├── IBMPlexSans-LightItalic.css │ │ │ │ │ ├── IBMPlexSans-Medium.css │ │ │ │ │ ├── IBMPlexSans-MediumItalic.css │ │ │ │ │ ├── IBMPlexSans-Regular.css │ │ │ │ │ ├── IBMPlexSans-SemiBold.css │ │ │ │ │ ├── IBMPlexSans-SemiBoldItalic.css │ │ │ │ │ ├── IBMPlexSans-Text.css │ │ │ │ │ ├── IBMPlexSans-TextItalic.css │ │ │ │ │ ├── IBMPlexSans-Thin.css │ │ │ │ │ ├── IBMPlexSans-ThinItalic.css │ │ │ │ │ └── license.txt │ │ │ │ ├── manifest.json │ │ │ │ └── sidepanel.html │ │ │ ├── src/ │ │ │ │ ├── content/ │ │ │ │ │ ├── frame.mark.elements.ts │ │ │ │ │ ├── page_analysis/ │ │ │ │ │ │ ├── CachedXPathBuilder.ts │ │ │ │ │ │ ├── DomCache.ts │ │ │ │ │ │ ├── DomTree.ts │ │ │ │ │ │ ├── ElementHighlighter.ts │ │ │ │ │ │ ├── NodeElementCollector.ts │ │ │ │ │ │ ├── NodeHelper.ts │ │ │ │ │ │ ├── PageHighlighter.ts │ │ │ │ │ │ ├── constants.ts │ │ │ │ │ │ ├── dom_tree_module.ts │ │ │ │ │ │ └── types.d.ts │ │ │ │ │ └── worker.connection.ts │ │ │ │ ├── entrypoints/ │ │ │ │ │ ├── background.ts │ │ │ │ │ ├── content.tsx │ │ │ │ │ └── sidepanel/ │ │ │ │ │ ├── index.html │ │ │ │ │ ├── sidepanel.css │ │ │ │ │ ├── sidepanel.tsx │ │ │ │ │ └── tailwind.js │ │ │ │ ├── functions.ts │ │ │ │ ├── manifest.chrome.json │ │ │ │ ├── manifest.firefox.json │ │ │ │ ├── symbol.dispose.polyfill.js │ │ │ │ ├── vite-env.d.ts │ │ │ │ └── worker/ │ │ │ │ ├── http.stream.module.ts │ │ │ │ ├── index.ts │ │ │ │ └── sidepanel.module.ts │ │ │ ├── tsconfig.json │ │ │ ├── tsconfig.node.json │ │ │ ├── vite.config.ts │ │ │ └── wxt.config.ts │ │ ├── frontend/ │ │ │ ├── .babelrc │ │ │ ├── OPTIMIZATION_SUMMARY.md │ │ │ ├── analyze-bundle.sh │ │ │ ├── build.sh │ │ │ ├── electron_loader/ │ │ │ │ ├── main.js │ │ │ │ └── preload.js │ │ │ ├── index.html │ │ │ ├── main.js │ │ │ ├── package.json │ │ │ ├── src/ │ │ │ │ ├── AddToolModal.css │ │ │ │ ├── AddToolModal.tsx │ │ │ │ ├── App.tsx │ │ │ │ ├── AuthContext.tsx │ │ │ │ ├── ChatLanding.css │ │ │ │ ├── ChatLanding.tsx │ │ │ │ ├── ConfigHeader.tsx │ │ │ │ ├── CugaHeader.css │ │ │ │ ├── CugaHeader.tsx │ │ │ │ ├── ManageDashboard.css │ │ │ │ ├── ManageDashboard.tsx │ │ │ │ ├── ManagePage.css │ │ │ │ ├── ManagePage.tsx │ │ │ │ ├── SecretsManager.tsx │ │ │ │ ├── ToolsConfig.css │ │ │ │ ├── ToolsConfig.tsx │ │ │ │ ├── UnauthorizedPage.tsx │ │ │ │ ├── api.ts │ │ │ │ ├── auth.ts │ │ │ │ ├── carbon-chat/ │ │ │ │ │ ├── CarbonChat.css │ │ │ │ │ ├── CarbonChat.tsx │ │ │ │ │ ├── README.md │ │ │ │ │ ├── carbonChatHelpers.ts │ │ │ │ │ ├── customLoadHistory.ts │ │ │ │ │ ├── customSendMessage.ts │ │ │ │ │ ├── index.tsx │ │ │ │ │ └── scenarios.ts │ │ │ │ ├── carbon.scss │ │ │ │ ├── global.css │ │ │ │ ├── knowledge/ │ │ │ │ │ └── useSessionKnowledgeAttachments.ts │ │ │ │ └── types/ │ │ │ │ └── tools.ts │ │ │ ├── static/ │ │ │ │ ├── background.js │ │ │ │ ├── fake_data.json │ │ │ │ ├── manifest.json │ │ │ │ └── tailwind.js │ │ │ ├── tsconfig.json │ │ │ └── webpack.config.js │ │ ├── package.json │ │ ├── pnpm-workspace.yaml │ │ ├── runtime/ │ │ │ ├── .eslintrc │ │ │ ├── .gitignore │ │ │ ├── commands.ts │ │ │ ├── functions.ts │ │ │ ├── index.ts │ │ │ ├── package.json │ │ │ ├── responses.ts │ │ │ └── tsconfig.json │ │ └── shared/ │ │ ├── .gitignore │ │ ├── README.md │ │ ├── package.json │ │ ├── src/ │ │ │ ├── constants/ │ │ │ │ ├── constants.ts │ │ │ │ └── index.ts │ │ │ ├── index.ts │ │ │ ├── types/ │ │ │ │ ├── index.ts │ │ │ │ └── sidepanel.ts │ │ │ └── utils/ │ │ │ ├── index.ts │ │ │ └── utils.ts │ │ └── tsconfig.json │ ├── scripts/ │ │ ├── __init__.py │ │ ├── build_embedded.py │ │ ├── build_standalone.py │ │ ├── commands.py │ │ ├── create_e2b_template.py │ │ ├── draw_graph.py │ │ ├── embed_assets.py │ │ ├── graph_visualization/ │ │ │ ├── graph.html │ │ │ └── graph.json │ │ ├── preload_models.py │ │ ├── push-to-hf.sh │ │ ├── run_e2b_test.py │ │ ├── run_tests.sh │ │ └── test_e2b_ngrok.py │ └── system_tests/ │ ├── e2e/ │ │ ├── accurate_test.py │ │ ├── balanced_test.py │ │ ├── base_crm_test.py │ │ ├── base_test.py │ │ ├── calculator_tool.py │ │ ├── config/ │ │ │ ├── mcp_servers.yaml │ │ │ ├── mcp_servers_crm.yaml │ │ │ └── mcp_servers_crm_hf.yaml │ │ ├── conftest.py │ │ ├── crm_contacts_email_balanced_test.py │ │ ├── crm_contacts_email_test.py │ │ ├── crm_contacts_email_test_find_tools.py │ │ ├── crm_followup_test.py │ │ ├── crm_hf_utterances_test.py │ │ ├── digital_sales_test_helpers.py │ │ ├── fast_test.py │ │ ├── load_test.py │ │ ├── run_registry.sh │ │ ├── save_reuse_test.py │ │ ├── stability_test_config.toml │ │ ├── test_context_summarization_e2e.py │ │ └── test_long_output.py │ ├── profiling/ │ │ ├── .gitignore │ │ ├── CHANGELOG.md │ │ ├── QUICK_START.md │ │ ├── README.md │ │ ├── bin/ │ │ │ ├── profile_digital_sales_tasks.py │ │ │ ├── run_experiment.sh │ │ │ └── run_profiling.sh │ │ ├── config/ │ │ │ ├── default_experiment.yaml │ │ │ ├── env_variables_example.yaml │ │ │ ├── fast_vs_accurate.yaml │ │ │ ├── full_matrix_comparison.yaml │ │ │ └── providers_comparison.yaml │ │ ├── experiments/ │ │ │ └── comparison.html │ │ ├── run_experiment.sh │ │ └── serve.sh │ └── unit/ │ ├── __init__.py │ └── test_sandbox_local.py ├── tests/ │ ├── integration/ │ │ ├── __init__.py │ │ ├── test_context_summarization.py │ │ ├── test_knowledge_integration.py │ │ ├── test_llm_config_publish.py │ │ └── test_tool_call_tracking.py │ ├── system/ │ │ ├── README.md │ │ └── test_manager_api_integration.py │ ├── test_agent_tools_api.py │ ├── test_conversation_history.py │ ├── test_variables_manager_langgraph.py │ ├── test_variables_manager_with_state.py │ └── unit/ │ ├── test_chat_agent_knowledge_toggle.py │ ├── test_chat_knowledge_mode.py │ ├── test_context_summarizer.py │ ├── test_cuga_lite_knowledge_scopes.py │ ├── test_find_tools_exception.py │ ├── test_knowledge_engine.py │ ├── test_knowledge_manage_gate.py │ ├── test_knowledge_routes.py │ ├── test_knowledge_storage_vector.py │ ├── test_llm_override.py │ ├── test_manage_publish_sync.py │ ├── test_plan_controller_prompt.py │ ├── test_session_knowledge.py │ ├── test_token_counter.py │ └── test_tool_use_failed_recovery.py └── todos.md ================================================ FILE CONTENTS ================================================ ================================================ FILE: .claude/commands/cuga-commit.md ================================================ 1. Commit current changes, one per file or (depends what user asks), but if its build files then all build files one commit 2. start by git status, and selectivly stage files for commit 3. follow https://www.conventionalcommits.org with scoping and for each commit add some bullet points in descrption ================================================ FILE: .claude/commands/cuga-create-pr.md ================================================ ### Step 1: Validate Your Local Repository do it all against upstream `origin` Before creating a PR, you must ensure all your changes are committed and pushed to your branch. #### Check for Uncommitted Changes Run the following command to check for any uncommitted files: ```bash git status --porcelain ``` **⚠️ CRITICAL: If this command returns any output, STOP HERE!** You have uncommitted changes that must be handled before creating a PR. You must either: - **Commit your changes**: `git add . && git commit -m "your message"` - **Stash your changes**: `git stash` **Do not proceed with PR creation until this is resolved.** #### Check for Unpushed Commits Next, confirm that all your local commits have been pushed to the remote repository. ```bash git rev-list --count @{u}..HEAD ``` **⚠️ CRITICAL: If the count is greater than zero, STOP HERE!** You have commits that have not been pushed to the remote repository. You must: - **Push your changes**: `git push origin ` **Do not proceed with PR creation until this is resolved.** #### Validation Complete Only if both checks pass (no uncommitted changes AND no unpushed commits), you are ready to create your pull request. ----- ### Step 2: Create the Pull Request Use the GitHub CLI (`gh`) to create the pull request. #### Choose a Template First, identify the appropriate template from your `.github/PULL_REQUEST_TEMPLATE/` directory. Your options are typically `bugfix.md`, `feature.md`, `docs.md`, or `chore.md`. #### Related issue (ask the user) Ask which GitHub issue this PR closes or relates to (issue number or URL). If the user says there is none, to skip the issue, or similar, continue without one—leave **Related Issue** blank, omit that line, or write that there is no linked issue. Do not block PR creation on this. #### Fill the Template with PR Information Before creating the PR, you must fill out the template with relevant information about your changes: 1. **Use the correct** template: ```bash .github/PULL_REQUEST_TEMPLATE/[template].md ``` 2. **Fill out the required sections based on current commits and changes**: - **Related Issue**: Link to any related GitHub issue (if applicable) - **Description**: Brief description of what this PR accomplishes - **Type of Changes**: Check the appropriate boxes - **Root Cause**: What was causing the issue (for bugfixes) - **Solution**: How this fix addresses the root cause - **Testing**: Check off completed testing steps - **Checklist**: Verify all items are completed 3. **Remember filled template** #### Run the Command ```bash gh pr create --base main --title "" --body "<content of .md filled>" ``` ================================================ FILE: .claude/commands/cuga-new-feature.md ================================================ # Create a new issue (upstream) 1. Create the issue with the GitHub CLI (`gh issue create`). 2. Open it against the **origin** upstream (use that remote / repository—not a fork-only default). 3. Labels: run `gh label list` for that upstream repository. Only use names that appear in that output. Always pass `--label needs-triage` and add other applicable labels. Do not invent label names. 4. Choose the correct title prefix based on the issue type: | Prefix | When to use | |---|---| | `[Feature]` | New functionality or capability | | `[Design]` | Architecture, API design, or UX proposal before implementation | | `[Refactor]` | Internal restructuring with no behavior change | | `[Performance]` | Speed, memory, or efficiency improvements | | `[Security]` | Vulnerability, safety concern, or hardening | | `[Docs]` | Documentation additions or corrections | | `[Test]` | Missing tests, flaky tests, or test infrastructure | | `[Chore]` | Dependency updates, cleanup, or tooling | | `[Epic]` | Large body of work grouping multiple issues | | `[Question]` | Clarification needed, not a task | 5. Write the body using the same sections as `.github/ISSUE_TEMPLATE/feature_request.yml`: What you want and why, How it could work, Links or extra context (if any). Incorporate the user's message and any selected editor/context so the issue is concrete and complete. 6. Do not add "Made with Cursor" or similar promotional footers to the issue. ================================================ FILE: .claude/commands/cuga-report-bug.md ================================================ # Report a bug (upstream issue) 1. Create the issue with the GitHub CLI (`gh issue create`). 2. Open it against the **origin** upstream (use that remote / repository—not a fork-only default). 3. Labels: run `gh label list` for that upstream repository (same scope as the issue, e.g. `--repo owner/name` if you are not using the default remote). Only use names that appear in that output. When you run `gh issue create`, pass `--label bug` and repeat `--label <name>` for each other applicable label. Do not invent label names. 4. Write the body using the same sections as `.github/ISSUE_TEMPLATE/bug_report.yml`: What happened, How to reproduce, Environment, Logs, screenshots, or config (if any). Incorporate the user’s message and any selected editor/context so the issue is concrete and reproducible. 5. Use a sensible title consistent with the template’s title prefix. 6. Do not add “Made with Cursor” or similar promotional footers to the issue. ================================================ FILE: .claude/commands/cuga-ruff-check.md ================================================ 1. Run `uv run ruff check --fix` on the project (or the files in scope). 2. Fix any issues Ruff still reports after `--fix` (manual or refactors, not suppressed without a good reason). 3. Run `uv run ruff format` so formatting matches project style. ================================================ FILE: .cra/.fileignore ================================================ docs node_modules Dockerfile ================================================ FILE: .dockerignore ================================================ # Logging directories and files logs/ log/ logging/ *.log *.log.* # Node.js dependencies node_modules/ **/node_modules/ npm-debug.log* yarn-debug.log* yarn-error.log* # Environment files .env.local .env.development.local .env.test.local .env.production.local .venv/ **/.venv/ # IDE and editor files .vscode/ .idea/ .cursor/ *.swp *.swo *~ # OS generated files .DS_Store .DS_Store? ._* .Spotlight-V100 .Trashes ehthumbs.db Thumbs.db # Git .git .gitignore # Docker Dockerfile* docker-compose* .dockerignore # Secrets and certs deployment/certs/*.key deployment/certs/*.crt .deployment/helm/*.env !deployment/helm/openshift.example.env # Build artifacts (KEEP frontend dist + extension releases - required for demo UI) target/ **/__pycache__/ **/*.pyc **/dist/ !src/cuga/frontend/dist **/build/ **/.vite/ **/.output/ .pnpm-store/ *.egg-info/ **/*.egg-info/ **/.pytest_cache/ **/.mypy_cache/ **/playwright-report/ **/test-results/ **/blob-report/ # Cache directories .cache/ .tmp/ temp/ # Local databases (DBS_DIR = src/cuga/dbs) src/cuga/dbs/ # Coverage reports coverage/ .nyc_output/ output logging/trajectory_data appworld/experiments/outputs logging/code src/cuga/logging/ src/system_tests/e2e/logs/ src/system_tests/ # Runtime/temp dirs (from .gitignore) crm_tmp/ debug_extractions/ debug_extractions_websocket/ test_workspace/ appworld/ server_logs/ trajectory/ evaluation/results evaluation/logs evaluation/logger evaluation/experiments/outputs experiments/outputs test_results.json experiment_results_* *.db cuga.egg-info/ cuga-dashboard/ # Secrets and certs deployment/certs/*.key deployment/certs/*.crt .secrets.* !.secrets.baseline # Documentation — demo MCP sources now live under src/cuga/demo_tools (copied with image) docs/** # Bundled demo tools: exclude local dev artifacts only src/cuga/demo_tools/**/.venv/ src/cuga/demo_tools/**/build/ src/cuga/demo_tools/**/*.db src/cuga/demo_tools/email_mcp/mcp_mail/ # Secrets and local dev .cursor/ deployment/certs/*.key deployment/certs/*.crt .env .secrets.* !*.secrets.baseline ================================================ FILE: .gitattributes ================================================ # Shell scripts must use LF so Linux containers do not get CRLF shebangs (exec format error) *.sh text eol=lf # Exclude build directories from diffs and linguist statistics src/frontend_workspaces/extension/releases/** -diff src/frontend_workspaces/extension/releases/** linguist-vendored src/cuga/frontend/dist/** -diff src/cuga/frontend/dist/** linguist-vendored src/frontend_workspaces/shared/dist/** -diff src/frontend_workspaces/shared/dist/** linguist-vendored # Ignore all JSON/YAML/TXT/CSV files (nested across repo) **/*.json **/*.yaml **/*.yml **/*.txt **/*.csv # (Optional) keep important ones \!package.json \!.github/workflows/*.yml ================================================ FILE: .github/ISSUE_TEMPLATE/bug_report.yml ================================================ name: 🐛 Bug Report description: Report a bug or unexpected behavior title: "[Bug]: " labels: ["bug", "needs-triage"] assignees: [] body: - type: markdown attributes: value: | Include enough detail that we can reproduce the issue. - type: textarea id: summary attributes: label: What happened description: What you did, what you expected, and what went wrong (errors or screenshots welcome in the field below). validations: required: true - type: textarea id: reproduction attributes: label: How to reproduce description: Steps or commands that trigger the bug. validations: required: true - type: textarea id: environment attributes: label: Environment description: OS, CUGA version, and runtime versions that matter (Python, Node, browser, etc.). validations: required: true - type: textarea id: extras attributes: label: Logs, screenshots, or config description: Optional. Paste logs or redacted config if it helps. validations: required: false - type: checkboxes id: checklist attributes: label: Checklist options: - label: I searched existing issues and this doesn’t look like a duplicate required: true ================================================ FILE: .github/ISSUE_TEMPLATE/config.yml ================================================ blank_issues_enabled: false ================================================ FILE: .github/ISSUE_TEMPLATE/documentation-request.yml ================================================ name: 📚 Documentation Update description: Suggest a fix, enhancement, or new content for the documentation. title: "[Docs]: <Short Description>" labels: ["documentation"] body: - type: markdown attributes: value: | Thanks for helping improve our documentation! Please fill out the sections below. - type: dropdown id: doc_action attributes: label: Type of Change description: What kind of documentation work is needed? options: - Fix (Typos, broken links, factual errors) - Enhance (Clarify existing content, add examples) - Add (Create new guides, pages, or sections) - Other validations: required: true - type: input id: doc_action_other attributes: label: If "Other", please specify description: Required if you selected "Other" above. Briefly describe the type of change. placeholder: e.g., Reorganize navigation, Update branding, Translate content - type: input id: location attributes: label: URL / Location (Optional) description: Please paste the link to the specific page or section (if applicable). placeholder: https://docs.example.com/getting-started - type: textarea id: description attributes: label: Description of the Issue description: Please describe what needs to be changed and why. placeholder: The installation steps for Linux are currently outdated... validations: required: true - type: textarea id: current_text attributes: label: Current Text (Optional) description: Copy the existing text here if you are fixing or enhancing it. render: markdown placeholder: | To install in Linux, run `pip install cuga-agent==0.0.1-nightly`... - type: textarea id: suggested_text attributes: label: Suggested Text / Solution description: Please provide your suggested changes or the new content you wish to add. render: markdown placeholder: | To install in Linux, run `uv pip install cuga-agent`... validations: required: true - type: textarea id: additional_context attributes: label: Additional Context description: Any other details, screenshots, or mockups? _If you have a screenshot or visual aid, you can drag and drop it into the box below._ - type: checkboxes id: quick_checks attributes: label: Quick Checks options: - label: I have searched existing issues to avoid duplicates - label: I have verified this issue exists in the latest documentation ================================================ FILE: .github/ISSUE_TEMPLATE/feature_request.yml ================================================ name: ✨ Feature / Design / Proposal description: Suggest a new feature, design, refactor, or other improvement title: "[Feature]: " labels: ["enhancement", "needs-triage"] assignees: [] body: - type: dropdown id: issue_type attributes: label: Issue type description: Choose the prefix that best fits. Update the title above to match (e.g. `[Design]: ...`). options: - "[Feature] – new functionality or capability" - "[Design] – architecture, API design, or UX proposal" - "[Refactor] – internal restructuring, no behavior change" - "[Performance] – speed, memory, or efficiency improvement" - "[Security] – vulnerability, safety concern, or hardening" - "[Docs] – documentation additions or corrections" - "[Test] – missing tests, flaky tests, or test infrastructure" - "[Chore] – dependency updates, cleanup, or tooling" - "[Epic] – large body of work grouping multiple issues" - "[Question] – clarification needed" validations: required: true - type: markdown attributes: value: | Describe the proposal and why it matters so we can evaluate it. - type: textarea id: summary attributes: label: What you want and why description: The feature, the problem it solves, and how you’d use it. validations: required: true - type: textarea id: proposal attributes: label: How it could work description: Your ideal behavior or API; optional notes on workarounds or alternatives you’ve tried. validations: required: true - type: textarea id: extras attributes: label: Links or extra context description: Optional. Docs, prior art, mockups, or constraints. validations: required: false - type: checkboxes id: checklist attributes: label: Checklist options: - label: I searched existing issues and this doesn’t look like a duplicate required: true ================================================ FILE: .github/ISSUE_TEMPLATE/use_case.yml ================================================ name: 💡 Use Case / Success Story description: Share how you're using CUGA or showcase a successful implementation title: "[Use Case]: " labels: ["use-case", "community"] assignees: [] body: - type: markdown attributes: value: | We'd love to hear about how you're using CUGA! Share your use case, success story, or interesting implementation to inspire others in the community. - type: textarea id: use-case-title attributes: label: Use Case Title description: Give your use case a descriptive title placeholder: | Example: "Automated Customer Service Agent for E-commerce Platform" validations: required: true - type: textarea id: overview attributes: label: Overview description: Provide a high-level overview of what you built or how you're using CUGA placeholder: | Example: Built an AI agent that handles customer inquiries, processes returns, and manages order status updates across multiple e-commerce platforms using CUGA's multi-tool integration. validations: required: true - type: dropdown id: category attributes: label: Category description: What category best describes your use case? options: - Business Automation - Data Processing & Analytics - Customer Service & Support - Content Creation & Management - Development & DevOps - Research & Education - Personal Productivity - Integration & Workflow - Other validations: required: true - type: textarea id: problem-solved attributes: label: Problem Solved description: What problem did CUGA help you solve? placeholder: | Example: Our customer service team was overwhelmed with repetitive inquiries about order status, returns, and product information. Manual processing was taking 2-3 hours per day. validations: required: true - type: textarea id: implementation attributes: label: Implementation Details description: How did you implement your solution? What tools and integrations did you use? placeholder: | Example: - Used OpenAPI tools to connect to Shopify and WooCommerce APIs - Integrated MCP filesystem tools for order document management - Created LangChain tools for email response generation - Set up automated workflows using CUGA's task orchestration validations: required: true - type: textarea id: tools-used attributes: label: Tools & Technologies Used description: List the specific tools, APIs, and technologies you integrated with CUGA placeholder: | Example: - CUGA Agent with browser automation - OpenAPI integrations: Shopify API, Stripe API - MCP tools: Filesystem, Database connector - LangChain tools: Custom email generator, sentiment analysis - Additional: SendGrid for email, Slack for notifications validations: required: true - type: textarea id: results attributes: label: Results & Impact description: What results did you achieve? Include metrics, time saved, or other benefits if possible. placeholder: | Example: - Reduced customer response time from 4 hours to 15 minutes - Automated 80% of routine customer inquiries - Saved 15+ hours per week of manual work - Improved customer satisfaction scores by 25% validations: required: true - type: textarea id: challenges attributes: label: Challenges & Solutions description: What challenges did you face during implementation and how did you solve them? placeholder: | Example: - Challenge: API rate limiting with high-volume requests - Solution: Implemented request batching and retry logic with exponential backoff - Challenge: Handling complex multi-step workflows - Solution: Used CUGA's task decomposition to break complex requests into manageable steps validations: required: false - type: textarea id: code-snippets attributes: label: Code Snippets / Configuration description: Share relevant code snippets, configuration files, or architecture diagrams (remove sensitive information) placeholder: | ```python # Example configuration or key code snippets from cuga import CugaAgent agent = CugaAgent() # Your implementation details... ``` ```yaml # mcp_servers.yaml example services: - shopify_api: url: https://your-shop.myshopify.com/admin/api/openapi.json ``` validations: required: false - type: textarea id: lessons-learned attributes: label: Lessons Learned / Tips description: What did you learn during the implementation? Any tips for others attempting similar use cases? placeholder: | Example: - Start with simple workflows and gradually add complexity - Test tool integrations individually before combining them - Use dummy data during development to avoid API rate limits - Monitor agent performance and add fallback mechanisms validations: required: false - type: dropdown id: scale attributes: label: Scale of Implementation description: What's the scale of your implementation? options: - Personal project / Prototype - Small team (2-10 users) - Department (10-50 users) - Company-wide (50+ users) - Production system with external users validations: required: true - type: checkboxes id: sharing-permissions attributes: label: Sharing Permissions description: How can the community use this information? options: - label: This use case can be featured in CUGA documentation or blog posts required: false - label: I'm open to being contacted for follow-up questions about this implementation required: false - label: I'm willing to share more detailed implementation guidance with the community required: false - label: This implementation is open source and available for others to use required: false - type: textarea id: additional-context attributes: label: Additional Context description: Any additional information, links to demos, blog posts, or repositories? placeholder: | Links to: - Demo videos or screenshots - Blog posts about your implementation - Open source repositories - Company case studies - Performance metrics or dashboards validations: required: false - type: checkboxes id: checklist attributes: label: Checklist description: Please confirm the following options: - label: I have removed any sensitive information from my submission required: true - label: I am sharing this use case to help and inspire the CUGA community required: true - label: The information provided is accurate and represents my actual experience required: true ================================================ FILE: .github/PULL_REQUEST_TEMPLATE/bugfix.md ================================================ ## Bug fix Fixes # ### Summary ### Testing - [ ] Verified fix locally; tests pass ================================================ FILE: .github/PULL_REQUEST_TEMPLATE/chore.md ================================================ ## Chore Closes # ### Summary ================================================ FILE: .github/PULL_REQUEST_TEMPLATE/docs.md ================================================ ## Documentation Closes # ### Summary ================================================ FILE: .github/PULL_REQUEST_TEMPLATE/feature.md ================================================ ## Feature Closes # ### Summary ### Testing - [ ] Tested locally; tests pass ================================================ FILE: .github/workflows/deploy-image-ghcr.yml ================================================ # Required vars: IMAGE_NAME name: Deploy Image to GHCR on: push: tags: - 'v[0-9]+.[0-9]+.[0-9]+' workflow_dispatch: inputs: image_tag: description: 'Image tag (e.g. 1.0.0). Omit to use git tag or latest.' required: false default: '' jobs: deploy: name: Build and push image runs-on: ubuntu-latest permissions: contents: read packages: write steps: - name: Checkout uses: actions/checkout@v5 with: ref: ${{ github.ref }} - name: Validate vars run: | missing="" [ -z "${{ vars.IMAGE_NAME }}" ] && missing="$missing IMAGE_NAME" if [ -n "$missing" ]; then echo "::error::Missing repository variables:$missing" echo "Set them in: Settings → Secrets and variables → Actions → Variables" exit 1 fi - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - name: Log in to GHCR uses: docker/login-action@v3 with: registry: ghcr.io username: ${{ github.actor }} password: ${{ secrets.GITHUB_TOKEN }} - name: Extract Docker metadata id: meta uses: docker/metadata-action@v5 with: images: ghcr.io/${{ github.repository_owner }}/${{ vars.IMAGE_NAME }} tags: | type=semver,pattern={{version}} type=semver,pattern={{major}}.{{minor}} type=semver,pattern={{major}} type=raw,value=${{ inputs.image_tag }},enable=${{ inputs.image_tag != '' }} type=raw,value=latest,enable=${{ inputs.image_tag == '' && github.event_name != 'push' }} labels: | org.opencontainers.image.title=${{ vars.IMAGE_NAME }} org.opencontainers.image.source=${{ github.server_url }}/${{ github.repository }} - name: Build and push image to GHCR uses: docker/build-push-action@v6 with: context: . file: ./Dockerfile.ubi push: true platforms: linux/amd64,linux/arm64 tags: ${{ steps.meta.outputs.tags }} labels: ${{ steps.meta.outputs.labels }} ================================================ FILE: .github/workflows/deploy-image.yml ================================================ # Required secret: RIS_CLOUD_ACCOUNT_API_KEY # Required vars: IBM_CLOUD_URL, IBM_CLOUD_REGION, IBM_CLOUD_GROUP, IBM_REGISTRY_URL, # IBM_CR_NAMESPACE, IMAGE_NAME, IMAGE_TAG name: Deploy Image to IBM Cloud on: workflow_dispatch: jobs: deploy: name: Build and push image runs-on: ubuntu-latest steps: - name: Checkout uses: actions/checkout@v5 - name: Validate vars run: | missing="" [ -z "${{ vars.IBM_CLOUD_URL }}" ] && missing="$missing IBM_CLOUD_URL" [ -z "${{ vars.IBM_CLOUD_REGION }}" ] && missing="$missing IBM_CLOUD_REGION" [ -z "${{ vars.IBM_CLOUD_GROUP }}" ] && missing="$missing IBM_CLOUD_GROUP" [ -z "${{ vars.IBM_REGISTRY_URL }}" ] && missing="$missing IBM_REGISTRY_URL" [ -z "${{ vars.IBM_CR_NAMESPACE }}" ] && missing="$missing IBM_CR_NAMESPACE" [ -z "${{ vars.IMAGE_NAME }}" ] && missing="$missing IMAGE_NAME" [ -z "${{ vars.IMAGE_TAG }}" ] && missing="$missing IMAGE_TAG" if [ -n "$missing" ]; then echo "::error::Missing repository variables:$missing" echo "Set them in: Settings → Secrets and variables → Actions → Variables" exit 1 fi - name: Set up Docker Buildx uses: docker/setup-buildx-action@v3 - name: Build image uses: docker/build-push-action@v6 with: context: . file: ./Dockerfile.ubi push: false load: true tags: ${{ vars.IBM_REGISTRY_URL }}/${{ vars.IBM_CR_NAMESPACE }}/${{ vars.IMAGE_NAME }}:${{ vars.IMAGE_TAG }} - name: Install IBM Cloud CLI uses: IBM/actions-ibmcloud-cli@v1 with: api_key: ${{ secrets.RIS_CLOUD_ACCOUNT_API_KEY }} region: ${{ vars.IBM_CLOUD_REGION }} group: ${{ vars.IBM_CLOUD_GROUP }} api: ${{ vars.IBM_CLOUD_URL }} plugins: container-registry - name: Deploy to IBM Cloud Registry env: RIS_CLOUD_ACCOUNT_API_KEY: ${{ secrets.RIS_CLOUD_ACCOUNT_API_KEY }} TARGET_IBM_CLOUD_URL: ${{ vars.IBM_CLOUD_URL }} TARGET_IBM_CLOUD_REGION: ${{ vars.IBM_CLOUD_REGION }} TARGET_IBM_CLOUD_GROUP: ${{ vars.IBM_CLOUD_GROUP }} TARGET_IBM_REGISTRY_URL: ${{ vars.IBM_REGISTRY_URL }} CR_NAMESPACE: ${{ vars.IBM_CR_NAMESPACE }} IMAGE_NAME: ${{ vars.IMAGE_NAME }} IMAGE_TAG: ${{ vars.IMAGE_TAG }} run: | chmod +x ./scripts/deploy-image.sh ./scripts/deploy-image.sh "$TARGET_IBM_CLOUD_URL" "$TARGET_IBM_CLOUD_REGION" "$TARGET_IBM_CLOUD_GROUP" "$TARGET_IBM_REGISTRY_URL" "$CR_NAMESPACE" "$IMAGE_NAME" "$IMAGE_TAG" ================================================ FILE: .github/workflows/release-pr.yml ================================================ name: Release PR on: workflow_dispatch: inputs: bump: description: 'Version bump type' required: true default: 'patch' type: choice options: - patch - minor - major jobs: release-pr: name: Create release PR runs-on: ubuntu-latest permissions: contents: write pull-requests: write steps: - name: Checkout uses: actions/checkout@v5 with: fetch-depth: 0 - name: Install uv uses: astral-sh/setup-uv@v6 - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.12' - name: Configure Git run: | git config user.name "cuga-agent[bot]" git config user.email "cuga-agent[bot]@users.noreply.github.com" - name: Create release branch and PR env: GH_TOKEN: ${{ github.token }} BUMP: ${{ inputs.bump }} run: | git fetch origin main git checkout main git pull origin main CURRENT=$(grep '^version' pyproject.toml | sed -n 's/version = "\(.*\)"/\1/p') MAJOR=$(echo "$CURRENT" | cut -d. -f1) MINOR=$(echo "$CURRENT" | cut -d. -f2) PATCH=$(echo "$CURRENT" | cut -d. -f3) case "$BUMP" in major) NEW_VERSION=$((MAJOR+1)).0.0 ;; minor) NEW_VERSION=$MAJOR.$((MINOR+1)).0 ;; patch) NEW_VERSION=$MAJOR.$MINOR.$((PATCH+1)) ;; *) echo "Invalid bump: $BUMP"; exit 1 ;; esac BRANCH="release/v$NEW_VERSION" git checkout -b "$BRANCH" sed -i "s/^version = \".*\"/version = \"$NEW_VERSION\"/" pyproject.toml uv sync git add pyproject.toml uv.lock git commit -m "chore: release v$NEW_VERSION" git push origin "$BRANCH" gh pr create --base main --head "$BRANCH" --title "chore: release v$NEW_VERSION" --body "Release v$NEW_VERSION. Merge to complete release, then run the Release Tag workflow." echo "Created PR for v$NEW_VERSION" ================================================ FILE: .github/workflows/release-tag.yml ================================================ name: Release Tag on: pull_request: types: [closed] branches: [main] workflow_dispatch: inputs: version: description: 'Version to tag (e.g. 0.2.10)' required: true type: string jobs: release-tag: name: Create and push tag runs-on: ubuntu-latest if: github.event_name == 'workflow_dispatch' || (github.event.pull_request.merged == true && (startsWith(github.event.pull_request.head.ref, 'release/') || contains(github.event.pull_request.title, 'release v'))) permissions: contents: write steps: - name: Checkout uses: actions/checkout@v5 with: fetch-depth: 0 - name: Get version id: version run: | if [ "${{ github.event_name }}" = "workflow_dispatch" ]; then echo "version=${{ inputs.version }}" >> $GITHUB_OUTPUT else VERSION=$(echo "${{ github.event.pull_request.title }}" | sed -n 's/.*release v\([0-9.]*\).*/\1/p') if [ -z "$VERSION" ]; then VERSION=$(echo "${{ github.event.pull_request.head.ref }}" | sed 's|release/v||') fi echo "version=$VERSION" >> $GITHUB_OUTPUT fi - name: Create and push tag run: | git fetch origin main git checkout main git pull origin main VERSION="${{ steps.version.outputs.version }}" if [ -z "$VERSION" ]; then echo "Could not determine version" exit 1 fi TAG="v${VERSION}" git tag "$TAG" git push origin "$TAG" echo "TAG=$TAG" >> $GITHUB_ENV - name: Create release with auto-generated notes env: GH_TOKEN: ${{ secrets.GITHUB_TOKEN }} run: | gh release create "$TAG" --generate-notes ================================================ FILE: .github/workflows/release.yml ================================================ name: Release on: push: tags: - v* workflow_dispatch: jobs: pypi: name: Publish to PyPI runs-on: ubuntu-latest environment: name: pypi permissions: id-token: write contents: read steps: - name: Checkout uses: actions/checkout@v5 - name: Install uv uses: astral-sh/setup-uv@v6 - name: Install Python 3.12 run: uv python install 3.12 - name: Build run: uv build - name: Publish run: uv publish ================================================ FILE: .github/workflows/smoke-pip-install.yml ================================================ name: Smoke pip install (isolated) on: push: branches: [main, develop] pull_request: branches: [main, develop] workflow_dispatch: concurrency: group: smoke-pip-${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} cancel-in-progress: true jobs: smoke-pip-isolated: name: Wheel install + demo_crm OpenAPI runs-on: ubuntu-latest timeout-minutes: 25 env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} MODEL_NAME: ${{ secrets.MODEL_NAME }} GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }} OPENAI_BASE_URL: ${{ secrets.WATSONX_API_KEY }} AGENT_SETTING_CONFIG: ${{ secrets.AGENT_SETTING_CONFIG }} steps: - name: Checkout code uses: actions/checkout@v5 - name: Install uv uses: astral-sh/setup-uv@v6 - name: Set up Python uses: actions/setup-python@v5 with: python-version: "3.12" - name: Isolated wheel smoke (demo_crm → OpenAPI) run: bash scripts/smoke_pip_install_isolated.sh ================================================ FILE: .github/workflows/stability-tests.yml ================================================ name: Stability Tests on: push: branches: [ main, develop ] pull_request: branches: [ main, develop ] workflow_dispatch: jobs: stability-tests: name: Stability Tests (Python ${{ matrix.python-version }}) runs-on: ubuntu-latest strategy: fail-fast: false matrix: python-version: - "3.11" - "3.12" - "3.13" steps: - name: Checkout code uses: actions/checkout@v5 - name: Install uv and set the Python version uses: astral-sh/setup-uv@v7 with: python-version: ${{ matrix.python-version }} - name: Install dependencies run: uv sync --dev - name: Copy huggingface examples run: | mkdir -p ./cuga_workspace cp -r src/cuga/demo_tools/huggingface/* ./cuga_workspace/ - name: Run stability tests continue-on-error: true id: test-run env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} MODEL_NAME: ${{ secrets.MODEL_NAME }} GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }} OPENAI_BASE_URL: ${{ secrets.WATSONX_API_KEY }} AGENT_SETTING_CONFIG: ${{ secrets.AGENT_SETTING_CONFIG }} TEST_RESULTS_FILE: test_results_python_${{ matrix.python-version }}.json PYTHONIOENCODING: utf-8 run: uv run run_stability_tests.py --method local - name: Check pass rate if: always() run: | results_file="test_results_python_${{ matrix.python-version }}.json" if [ ! -f "$results_file" ]; then echo "❌ Test results file not found. Tests may have failed before completion." exit 1 fi python3 << EOF import json import sys with open('$results_file', 'r') as f: data = json.load(f) pass_rate = data.get('pass_rate', 0) if pass_rate < 88: print(f"❌ Pass rate is {pass_rate}%, which is below the required 88%. Failing the job.") sys.exit(1) print(f"✅ Pass rate is {pass_rate}%, which meets the required 88% threshold.") EOF - name: Upload test logs if: always() uses: actions/upload-artifact@v4 with: name: test-logs-python-${{ matrix.python-version }} path: src/system_tests/e2e/logs/ retention-days: 7 - name: Upload test results if: always() uses: actions/upload-artifact@v4 with: name: test-results-python-${{ matrix.python-version }} path: test_results_python_${{ matrix.python-version }}.json retention-days: 7 stability-tests-windows: name: Stability Tests Windows (Python 3.12) runs-on: windows-latest timeout-minutes: 60 strategy: fail-fast: false steps: - name: Checkout code uses: actions/checkout@v5 - name: Install uv and set the Python version uses: astral-sh/setup-uv@v7 with: python-version: "3.12" - name: Install dependencies env: UV_NO_PROGRESS: 1 UV_QUIET: 1 run: uv sync --dev - name: Copy huggingface examples run: | New-Item -ItemType Directory -Force -Path ./cuga_workspace Copy-Item -Recurse -Force src/cuga/demo_tools/huggingface/* ./cuga_workspace/ - name: Run stability tests continue-on-error: true id: test-run env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} MODEL_NAME: ${{ secrets.MODEL_NAME }} GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }} OPENAI_BASE_URL: ${{ secrets.OPENAI_BASE_URL }} AGENT_SETTING_CONFIG: ${{ secrets.AGENT_SETTING_CONFIG }} TEST_RESULTS_FILE: test_results_python_3.12_windows.json UV_NO_PROGRESS: 1 UV_QUIET: 1 PYTHONIOENCODING: utf-8 run: uv run run_stability_tests.py --method local - name: Check pass rate if: always() shell: pwsh run: | $resultsFile = "test_results_python_3.12_windows.json" if (-not (Test-Path $resultsFile)) { Write-Host "❌ Test results file not found. Tests may have failed before completion." exit 1 } $results = Get-Content $resultsFile | ConvertFrom-Json $passRate = $results.pass_rate if ($passRate -lt 88) { Write-Host "❌ Pass rate is ${passRate}%, which is below the required 88%. Failing the job." exit 1 } Write-Host "✅ Pass rate is ${passRate}%, which meets the required 88% threshold." - name: Upload test logs if: always() uses: actions/upload-artifact@v4 with: name: test-logs-python-3.12-windows path: src/system_tests/e2e/logs/ retention-days: 7 - name: Upload test results if: always() uses: actions/upload-artifact@v4 with: name: test-results-python-3.12-windows path: test_results_python_3.12_windows.json retention-days: 7 summary: name: Test Summary runs-on: ubuntu-latest needs: [stability-tests, stability-tests-windows] if: always() steps: - name: Checkout code uses: actions/checkout@v5 - name: Install uv uses: astral-sh/setup-uv@v7 - name: Install dependencies run: uv sync --dev - name: Download test results uses: actions/download-artifact@v4 with: pattern: test-results-python-* merge-multiple: true path: test-results - name: Generate summary report run: uv run run_stability_tests.py --generate-summary --results-dir test-results ================================================ FILE: .github/workflows/tests.yml ================================================ name: Tests on: push: branches: [ main, develop ] pull_request: branches: [ main, develop ] workflow_dispatch: jobs: unit-tests: name: Unit Tests runs-on: ubuntu-latest env: OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }} MODEL_NAME: ${{ secrets.MODEL_NAME }} GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }} OPENAI_BASE_URL: ${{ secrets.WATSONX_API_KEY }} AGENT_SETTING_CONFIG: ${{ secrets.AGENT_SETTING_CONFIG }} steps: - name: Checkout code uses: actions/checkout@v5 - name: Install uv uses: astral-sh/setup-uv@v6 - name: Set up Python uses: actions/setup-python@v5 with: python-version: '3.12' - name: Install dependencies run: uv sync --all-extras --dev - name: Install Playwright browsers run: uv run playwright install --with-deps chromium - name: Run unit tests run: bash src/scripts/run_tests.sh --skip-stability ================================================ FILE: .gitignore ================================================ .env __pycache__ output *.db cuga_workspace/ .idea node_modules .pnpm-store/ *.log /frontend/dist/ src/frontend_workspaces/frontend/dist/ /frontend/node_modules/ experiment_results_* output_graphs *.egg-info/ backup_* test_results.json vendor logs/ .milvus* .bob !.bob/commands/ !.bob/commands/cuga-*.md test_workspace/ *.logs # Test-related temporary files and folders .cuga_* .cuga .cuga_test_* policy_db_test_*.db .policy_test_tmp_* dist_cuga agent-analytics trajectory cuga-dashboard logging/trajectory_data logging/ dbs/ crm_tmp/ debug_extractions/ debug_extractions_websocket/ # Ignore dynaconf secret files .secrets.* !.secrets.baseline agents.egg-info evaluation/results evaluation/logs evaluation/logger evaluation_* logging_* evaluation/experiments/outputs/* .DS_Store appworld server_logs modes.custom.toml experiments/outputs /evaluation/data/tasks/ /evaluation/data/ /build/ src/cuga/demo_tools/email_mcp/mcp_mail src/cuga/demo_tools/email_mcp/mail_sink/build src/cuga/demo_tools/email_mcp/mcp_server/build src/cuga/demo_tools/file_system/build src/cuga/demo_tools/**/*.egg-info/ # Local dependencies vendor/ cuga.egg-info # IDE and editor files .cursor/ !.cursor/commands/ !.cursor/commands/cuga-*.md # Local TLS certs for HTTPS (e.g. IBM Verify) deployment/certs/*.key deployment/certs/*.crt registry.env # OpenShift env files with real secrets (keep only openshift.example.env) deployment/helm/openshift.env deployment/helm/*.env !deployment/helm/openshift.example.env KNOWLEDGE_PIPELINE.md # Examples that use repo-root uv.lock only (see CONTRIBUTING.md) docs/examples/cuga_as_mcp/uv.lock docs/examples/cuga_with_runtime_tools/uv.lock # Registry credentials (copy from registry.example.env) scripts/registry.env # Tracked even if core.excludesfile / global gitignore lists this basename !scripts/smoke_pip_install_isolated.sh ================================================ FILE: .pre-commit-config.yaml ================================================ # Pre-commit hooks configuration # See https://pre-commit.com for more information repos: # Ruff - Python linting and formatting (using uv) - repo: https://github.com/astral-sh/ruff-pre-commit rev: v0.14.3 hooks: # Run the linter - id: ruff name: ruff check args: [--fix] types_or: [python, pyi] # Run the formatter - id: ruff-format name: ruff format types_or: [python, pyi] # Standard pre-commit hooks - repo: https://github.com/pre-commit/pre-commit-hooks rev: v6.0.0 hooks: - id: check-added-large-files args: ['--maxkb=2000'] exclude: '^src/cuga/frontend/dist/' # Conventional Commits - validate commit message format - repo: https://github.com/compilerla/conventional-pre-commit rev: v4.3.0 hooks: - id: conventional-pre-commit name: conventional commits stages: [commit-msg] args: [] # Detect secrets - prevent committing sensitive information - repo: https://github.com/ibm/detect-secrets rev: 0.13.1+ibm.64.dss hooks: - id: detect-secrets name: detect secrets args: ['--baseline', '.secrets.baseline'] exclude: package.lock.json ================================================ FILE: .python-version ================================================ 3.12.7 ================================================ FILE: .run/API Registry Appworld.run.xml ================================================ <component name="ProjectRunConfigurationManager"> <configuration default="false" name="API Registry Appworld" type="PythonConfigurationType" factoryName="Python"> <module name="AgentS" /> <option name="ENV_FILES" value="" /> <option name="INTERPRETER_OPTIONS" value="" /> <option name="PARENT_ENVS" value="true" /> <envs> <env name="PYTHONUNBUFFERED" value="1" /> <env name="MCP_SERVERS_FILE" value="mcp_servers_appworld.yaml" /> </envs> <option name="SDK_HOME" value="" /> <option name="SDK_NAME" value="Python 3.12 (cuga)" /> <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" /> <option name="IS_MODULE_SDK" value="false" /> <option name="ADD_CONTENT_ROOTS" value="true" /> <option name="ADD_SOURCE_ROOTS" value="true" /> <EXTENSION ID="net.ashald.envfile"> + <option name="IS_ENABLED" value="false" /> + <option name="IS_SUBST" value="false" /> + <option name="IS_PATH_MACRO_SUPPORTED" value="false" /> + <option name="IS_IGNORE_MISSING_FILES" value="false" /> + <option name="IS_ENABLE_EXPERIMENTAL_INTEGRATIONS" value="false" /> + <ENTRIES> + <ENTRY IS_ENABLED="true" PARSER="runconfig" IS_EXECUTABLE="false" /> + </ENTRIES> + </EXTENSION> <option name="SCRIPT_NAME" value="uvicorn" /> <option name="PARAMETERS" value="cuga.backend.tools_env.registry.registry.api_registry_server:app --port 8001" /> <option name="SHOW_COMMAND_LINE" value="false" /> <option name="EMULATE_TERMINAL" value="false" /> <option name="MODULE_MODE" value="true" /> <option name="REDIRECT_INPUT" value="false" /> <option name="INPUT_FILE" value="" /> <method v="2" /> </configuration> </component> ================================================ FILE: .run/API Registry Demo.run.xml ================================================ <component name="ProjectRunConfigurationManager"> <configuration default="false" name="API Registry Demo" type="PythonConfigurationType" factoryName="Python"> <module name="AgentS" /> <option name="ENV_FILES" value="" /> <option name="INTERPRETER_OPTIONS" value="" /> <option name="PARENT_ENVS" value="true" /> <envs> <env name="PYTHONUNBUFFERED" value="1" /> <env name="MCP_SERVERS_FILE" value="mcp_servers.yaml" /> </envs> <option name="SDK_HOME" value="" /> <option name="SDK_NAME" value="Python 3.12 (cuga)" /> <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" /> <option name="IS_MODULE_SDK" value="false" /> <option name="ADD_CONTENT_ROOTS" value="true" /> <option name="ADD_SOURCE_ROOTS" value="true" /> <EXTENSION ID="net.ashald.envfile"> + <option name="IS_ENABLED" value="false" /> + <option name="IS_SUBST" value="false" /> + <option name="IS_PATH_MACRO_SUPPORTED" value="false" /> + <option name="IS_IGNORE_MISSING_FILES" value="false" /> + <option name="IS_ENABLE_EXPERIMENTAL_INTEGRATIONS" value="false" /> + <ENTRIES> + <ENTRY IS_ENABLED="true" PARSER="runconfig" IS_EXECUTABLE="false" /> + </ENTRIES> + </EXTENSION> <option name="SCRIPT_NAME" value="uvicorn" /> <option name="PARAMETERS" value="cuga.backend.tools_env.registry.registry.api_registry_server:app --port 8001" /> <option name="SHOW_COMMAND_LINE" value="true" /> <option name="EMULATE_TERMINAL" value="false" /> <option name="MODULE_MODE" value="true" /> <option name="REDIRECT_INPUT" value="false" /> <option name="INPUT_FILE" value="" /> <method v="2" /> </configuration> </component> ================================================ FILE: .run/App World Eval.run.xml ================================================ <component name="ProjectRunConfigurationManager"> <configuration default="false" name="App World Eval" type="PythonConfigurationType" factoryName="Python"> <module name="AgentS" /> <option name="ENV_FILES" value="" /> <option name="INTERPRETER_OPTIONS" value="" /> <option name="PARENT_ENVS" value="true" /> <option name="SDK_HOME" value="" /> <option name="SDK_NAME" value="Python 3.12 (cuga)" /> <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$/" /> <option name="IS_MODULE_SDK" value="false" /> <option name="ADD_CONTENT_ROOTS" value="true" /> <option name="ADD_SOURCE_ROOTS" value="true" /> <EXTENSION ID="net.ashald.envfile"> <option name="IS_ENABLED" value="false" /> <option name="IS_SUBST" value="false" /> <option name="IS_PATH_MACRO_SUPPORTED" value="false" /> <option name="IS_IGNORE_MISSING_FILES" value="false" /> <option name="IS_ENABLE_EXPERIMENTAL_INTEGRATIONS" value="false" /> <ENTRIES> <ENTRY IS_ENABLED="true" PARSER="runconfig" IS_EXECUTABLE="false" /> </ENTRIES> </EXTENSION> <option name="SCRIPT_NAME" value="$PROJECT_DIR$/evaluation/appworld_eval.py" /> <option name="PARAMETERS" value="--eval_key test_normal_easy" /> <option name="SHOW_COMMAND_LINE" value="true" /> <option name="EMULATE_TERMINAL" value="false" /> <option name="MODULE_MODE" value="false" /> <option name="REDIRECT_INPUT" value="false" /> <option name="INPUT_FILE" value="" /> <method v="2" /> </configuration> </component> ================================================ FILE: .run/Cuga Demo.run.xml ================================================ <component name="ProjectRunConfigurationManager"> <configuration default="false" name="Cuga Demo" type="PythonConfigurationType" factoryName="Python"> <module name="AgentS" /> <option name="ENV_FILES" value="" /> <option name="INTERPRETER_OPTIONS" value="" /> <option name="PARENT_ENVS" value="true" /> <envs> <env name="PYTHONUNBUFFERED" value="1" /> </envs> <option name="SDK_HOME" value="" /> <option name="SDK_NAME" value="Python 3.12 (cuga)" /> <option name="WORKING_DIRECTORY" value="$PROJECT_DIR$" /> <option name="IS_MODULE_SDK" value="false" /> <option name="ADD_CONTENT_ROOTS" value="true" /> <option name="ADD_SOURCE_ROOTS" value="true" /> 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"${workspaceFolder}/src/cuga/backend/server/debug_server.py", "env": { "PYTHONPATH": "${workspaceFolder}", "PYTHONUNBUFFERED": "1", "LOGURU_LEVEL": "DEBUG" }, "args": [], "console": "integratedTerminal", "envFile": "${workspaceFolder}/.env", "cwd": "${workspaceFolder}", "stopOnEntry": false, "justMyCode": false, "redirectOutput": true, "showReturnValue": true, "subProcess": true, "preLaunchTask": null, "postDebugTask": null }, { "name": "App World Eval", "type": "python", "request": "launch", "program": "${workspaceFolder}/evaluation/appworld_eval.py", "args": [], "cwd": "${workspaceFolder}", "env": { "PYTHONUNBUFFERED": "1" }, "console": "integratedTerminal", "python": "${workspaceFolder}/.venv/bin/python" }, { "name": "Cuga Demo", "type": "debugpy", "request": "launch", "module": "fastapi", "envFile": "${workspaceFolder}/.env", "args": ["dev", "src/cuga/backend/server/main.py", "--no-reload", "--port=7860"], "cwd": "${workspaceFolder}", "env": { "PYTHONUNBUFFERED": "1" }, "console": "integratedTerminal", "python": "${workspaceFolder}/.venv/bin/python", "stopOnEntry": false, "justMyCode": false, "redirectOutput": true, "showReturnValue": true, "subProcess": true } ] } ================================================ FILE: .vscode/settings.json ================================================ { "python.envFile": "${workspaceFolder}/.env", "debugpy.debugJustMyCode": true, "[python]": { "editor.defaultFormatter": "ms-python.black-formatter", "editor.formatOnSave": true, "editor.codeActionsOnSave": { "source.organizeImports": "explicit", }, }, "isort.args": [ "--profile", "black" ], "ruff.enable": false } ================================================ FILE: .whitesource ================================================ { "settingsInheritedFrom": "whitesource-config/whitesource-config@master" } ================================================ FILE: CONTRIBUTING.md ================================================ # Development Contributing Guide ## How to Contribute 1. Fork the repository to your own GitHub account. (not needed if you are CUGA team) 2. Create a feature branch from `main` in your fork: `git checkout -b feature/<short-topic>` (see Branch Naming Convention below). 3. Keep PRs small and focused (prefer < ~300 changed lines and limited file count). 4. Follow Conventional Commits for all commits and PR titles. 5. Run formatting, linting, and tests locally before opening a PR. 6. Open a Pull Request from your fork to `main` with a clear description and checklist results. Notes: - All PRs are merged using "Squash and merge". The PR title will become the final commit message — write it carefully using the Conventional Commits format. - Prefer one topic per PR. If your changes touch many areas, split into multiple PRs. ## DCO This repository requires a Developer's Certificate of Origin 1.1 signoff on every commit. A DCO provides your assurance to the community that you wrote the code you are contributing or have the right to pass on the code that you are contributing. It is generally used in place of a Contributor License Agreement (CLA). You can easily signoff a commit by using the -s or --signoff flag: ```bash git commit -s -m 'This is my commit message' ``` If you are using the web interface, this should happen automatically. If you've already made a commit, you can fix it by amending the commit and force-pushing the change: ```bash git commit --amend --no-edit --signoff git push -f ``` This will only amend your most recent commit and will not affect the message. If there are multiple commits that need fixing, you can try: ```bash git rebase --signoff HEAD~<n> git push -f ``` where `<n>` is the number of commits missing signoffs. ## Commit Messages: Conventional Commits We use the Conventional Commits specification. See the full spec at [conventionalcommits.org](https://www.conventionalcommits.org/en/v1.0.0/). Structure: ``` <type>[optional scope]: <short description> [optional body] [optional footer(s)] ``` Common types: `feat`, `fix`, `docs`, `refactor`, `test`, `chore`, `build`, `ci`, `perf`, `style`. Good examples: ``` feat(api): add list-accounts endpoint to registry fix(browser): prevent crash when page has no active frame ``` Breaking change example: ``` feat(api)!: switch account id field to string BREAKING CHANGE: API consumers must treat account ids as strings. ``` Bad examples (do not use): ``` update stuff wip: changes fixes typo ``` Why this matters: - Enables clean history and automated tooling (changelogs, versioning). - Because we squash-merge, the PR title becomes the final commit — use Conventional Commits in the PR title too. ## Branch Naming Convention We follow the Conventional Branch specification. See the full spec at [conventional-branch.github.io](https://conventional-branch.github.io/). ### Branch Naming Structure ``` <type>/<description> ``` ### Supported Branch Types | Type | Good Example | Why It's Good | Bad Example | Why It's Bad | | ------------ | --------------------------- | ------------------------------- | ---------------------------- | --------------------------------- | | Feature | `feature/add-login-page` | Lowercase, hyphens, descriptive | `Feature/AddLoginPage` | Uppercase & no hyphens | | Fix | `bugfix/header-bug` | Clear, lowercase | `feat/add_login` | Uses underscore instead of hyphen | | Hotfix | `hotfix/security-patch` | Clear, proper prefix | `hotfix#security-patch` | Contains invalid character `#` | | Release | `release/v1.2.0` | Correct dot usage for versions | `release/v1..2.0` | Consecutive dots | | Chore | `chore/update-dependencies` | Descriptive and valid | `chore/update-dependencies-` | Trailing hyphen | | Missing Desc | `feat/issue-123-new-login` | Includes ticket, traceable | `feature/` | Missing description | ### Branch Naming Rules 1. **Use lowercase alphanumerics, hyphens, and dots**: Always use lowercase letters (`a-z`), numbers (`0-9`), and hyphens(`-`) to separate words. Avoid special characters, underscores, or spaces. For release branches, dots (`.`) may be used in the description to represent version numbers (e.g., `release/v1.2.0`). 2. **No consecutive, leading, or trailing hyphens or dots**: Ensure that hyphens and dots do not appear consecutively, nor at the start or end of the description. 3. **Keep it clear and concise**: The branch name should be descriptive yet concise, clearly indicating the purpose of the work. 4. **Include ticket numbers**: If applicable, include the ticket number from your project management tool to make tracking easier. Why this matters: - **Clear Communication**: The branch name alone provides a clear understanding of its purpose. - **Automation-Friendly**: Easily hooks into automation processes (e.g., different workflows for `feature`, `release`, etc.). - **Team Collaboration**: Encourages collaboration by making branch purpose explicit. ## Pull Request Guidelines - Keep diffs small; avoid drive-by refactors. Separate formatting-only PRs from feature/fix PRs. - Include a brief summary of what/why, and link related issues (e.g., `Refs: #123`). - Add/update tests when changing behavior. - Do not include generated files, large assets, secrets, or local config (e.g., `.env`). - Ensure CI passes. If you see flaky tests, note it in the PR description. ### Pull Request Templates We provide specific PR templates to help you create well-structured pull requests. When creating a PR, you can use one of these templates by adding the appropriate query parameter to the GitHub URL: - **Feature PRs**: `?template=feature.md` - For new features and enhancements - **Bug Fix PRs**: `?template=bugfix.md` - For bug fixes and issue resolutions - **Documentation PRs**: `?template=docs.md` - For documentation updates and improvements - **Chore PRs**: `?template=chore.md` - For maintenance tasks, dependency updates, and refactoring Each template includes: - Related issue linking - Type of changes checkboxes - Testing checklist - Standard review checklist GitHub will also automatically suggest these templates when you create a new pull request. ### Pre-PR Checklist (run locally) Use `uv` for environment and tooling. ``` uv sync --dev uv run ruff format uv run ruff check --fix # Run tests as described below ``` Must: - If your change touches the browser/env, verify relevant demos still run. - Update README.md or docs if only needed, discuss before ## Dependency lockfile (`uv.lock`) Only the **repository root** `uv.lock` is committed. After changing dependencies in the root `pyproject.toml`, run `uv lock` from the repo root. Examples under `docs/examples/cuga_as_mcp` and `docs/examples/cuga_with_runtime_tools` do **not** carry their own lockfiles: they resolve `cuga` from a path dependency and reuse the root lockfile’s resolution (including root-only `[tool.uv.dependency-metadata]`). Run commands from the example directory with `uv run --project ../../../ …` so `uv` uses the root project; see each example README. ## Security Scanning Before committing, run security scanning to detect potential secrets: ```bash uv pip install --upgrade "git+https://github.com/ibm/detect-secrets.git@master#egg=detect-secrets" detect-secrets scan --update .secrets.baseline detect-secrets audit .secrets.baseline ``` If everything passes, no need to mark secrets or false positives. This ensures no sensitive information is accidentally committed to the repository. ## Running Tests ### 1) Install dev dependencies ```bash uv sync --dev ``` ### Run tests Comprehensive test suite including linting, unit tests, and e2e tests: ```bash chmod +x ./src/scripts/run_tests.sh ./src/scripts/run_tests.sh ``` This will run: - **Linting checks**: Ruff code quality and formatting validation - **Unit tests**: Variables manager, API response handling, registry functionality - **E2E tests**: System tests across Fast and Balanced modes for real-world scenarios ## AI Agent Commands If you are working in an AI-assisted IDE or using an AI agent (Cursor, Claude, Bob), a set of pre-built workflow commands is available to streamline common contributor tasks. The same commands are mirrored across all three tooling directories: | Location | For | |---|---| | `.cursor/commands/cuga-*.md` | Cursor agent | | `.claude/commands/cuga-*.md` | Claude / claude-code | | `.bob/commands/cuga-*.md` | Bob agent | ### Available Commands | Command | What it does | |---|---| | `cuga-commit` | Stages and commits changes using Conventional Commits with scoped messages and bullet-point descriptions | | `cuga-create-pr` | Validates local state, picks the right PR template, fills it out from current changes, and opens the PR via `gh` | | `cuga-report-bug` | Creates a GitHub issue using the `bug_report.yml` template with context from the current code | | `cuga-new-feature` | Creates a GitHub issue using the `feature_request.yml` template | | `cuga-ruff-check` | Runs `uv run ruff check --fix` and `uv run ruff format` on the project | These commands follow all repo conventions (Conventional Commits, `gh` CLI, no promotional footers). To invoke them, use the slash-command syntax of your tool (e.g. `/cuga-commit` in Cursor). ## IDE Setup Quick Links First make sure that your IDE environment is properly configured [See Python Code Formatting Guide](#python-code-formatting-guide) # Python Code Formatting Guide Before every commit make sure to run: ```commandline ruff format ruff check --fix ``` ### Ruff formatter and linter installation on IDE #### VS Code [https://github.com/astral-sh/ruff-vscode](https://marketplace.visualstudio.com/items?itemName=charliermarsh.ruff) #### Pycharm https://docs.astral.sh/ruff/editors/setup/#pycharm # IDE Debug Mode Setup ## VSCode and PyCharm Debug Mode **Important**: Select the correct Python interpreter for debugging: - **VS Code**: Press `Ctrl+Shift+P` → "Python: Select Interpreter" → Choose the `.venv` from your previous setup - **PyCharm**: Go to Settings → Project → Python Interpreter → Select the uv virtual environment ## Available Configurations ### Demo Mode For local development and testing: 1. **API Registry Demo** - Runs the API registry server for demo environment - Port: 8001 - Uses: `mcp_servers.yaml` 2. **Cuga Demo** - Runs the main FastAPI server for demo - Port: 7860 **To run demo mode:** 1. Start "API Registry Demo" first 2. Then start "Cuga Demo" ## VSCode Instructions 1. Open VS Code's Run and Debug panel 2. Select the desired configuration from the dropdown 3. Start debugging ================================================ FILE: Dockerfile ================================================ FROM python:3.12-slim-trixie # The installer requires curl (and certificates) to download the release archive RUN apt-get update && apt-get install -y --no-install-recommends curl ca-certificates && \ rm -rf /var/lib/apt/lists/* # Download the latest installer ADD https://astral.sh/uv/install.sh /uv-installer.sh # Run the installer then remove it RUN sh /uv-installer.sh && rm /uv-installer.sh # Ensure the installed binary is on the `PATH` ENV PATH="/root/.local/bin/:$PATH" # Set working directory WORKDIR /app # Copy dependency files COPY pyproject.toml uv.lock ./ # Copy source code COPY src/ ./src/ COPY docs/ ./docs/ # Install dependencies RUN uv sync # Create cuga_workspace directory RUN mkdir -p /app/cuga_workspace # Copy example files from bundled demo_tools samples COPY src/cuga/demo_tools/huggingface/contacts.txt /app/cuga_workspace/contacts.txt COPY src/cuga/demo_tools/huggingface/cuga_knowledge.md /app/cuga_workspace/cuga_knowledge.md COPY src/cuga/demo_tools/huggingface/cuga_playbook.md /app/cuga_workspace/cuga_playbook.md COPY src/cuga/demo_tools/huggingface/email_template.md /app/cuga_workspace/email_template.md # Expose port 7860 (Hugging Face Spaces default) EXPOSE 7860 # Set host to 0.0.0.0 to allow external connections ENV CUGA_HOST=0.0.0.0 # Override the demo port to match HF Spaces ENV DYNACONF_SERVER_PORTS__DEMO=7860 # Start the demo_crm service with read-only filesystem and no email services CMD ["uv", "run", "cuga", "start", "demo_crm", "--cuga-workspace", "/app/cuga_workspace"] ================================================ FILE: Dockerfile.ubi ================================================ # Multi-stage: builder installs deps, runtime keeps only what's needed ARG BASE_IMAGE=registry.access.redhat.com/ubi9/python-312-minimal:latest FROM ${BASE_IMAGE} AS builder # Use official uv image to avoid curl+tar dance COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv COPY --from=ghcr.io/astral-sh/uv:latest /uvx /usr/local/bin/uvx ENV PATH="/usr/local/bin:$PATH" USER root WORKDIR /app COPY pyproject.toml uv.lock README.md ./ COPY src/ ./src/ COPY docs/ ./docs/ # Default deps omit openlit (optional `observability` extra; keeps pip/uvx core resolvable with litellm 1.83.x). RUN find src -name "*.egg-info" -o -name "build" -exec rm -rf {} + && uv sync --no-editable --no-dev --extra observability # Slim down torch: remove test suite and C++ headers (not needed at runtime) ~143MB # NOTE: torch/bin must be kept — contains torch_shm_manager required at import time RUN rm -rf /app/.venv/lib/python3.12/site-packages/torch/test \ /app/.venv/lib/python3.12/site-packages/torch/include # Strip debug symbols from native .so files (saves 100-300MB, pure size optimization) RUN find /app/.venv -type f \( -name "*.so" -o -name "*.so.*" \) -exec strip --strip-unneeded {} \; 2>/dev/null || true # Download only the headless_shell binary (no full Chromium, no ffmpeg) — ~3x smaller than default. RUN PLAYWRIGHT_BROWSERS_PATH=/app/.playwright uv run playwright install --only-shell chromium # Bake ML model weights into the image for airgapped operation. # Pinned to /app/.cache so paths survive the multi-stage copy and match runtime ENV below. ENV FASTEMBED_CACHE_PATH=/app/.cache/fastembed \ DOCLING_ARTIFACTS_PATH=/app/.cache/docling \ HF_HOME=/app/.cache/huggingface RUN uv run --no-sync python src/scripts/preload_models.py # Remove Python bytecode cache — regenerated on first run, adds nothing at build time RUN find /app/.venv -type d -name __pycache__ -exec rm -rf {} + 2>/dev/null || true # Runtime stage - slimmer base, copy only built artifacts FROM ${BASE_IMAGE} USER root # Libs required by Chromium headless_shell on UBI9/RHEL9 # gtk3 and cups-libs intentionally omitted — not needed by headless_shell (--only-shell skips full browser stack) RUN microdnf install -y \ alsa-lib \ at-spi2-atk \ at-spi2-core \ atk \ cairo \ dbus-libs \ expat \ glib2 \ libdrm \ libgbm \ libX11 \ libXcomposite \ libXdamage \ libXext \ libXfixes \ libXrandr \ libxcb \ libxkbcommon \ mesa-libgbm \ mesa-libGL \ nspr \ nss \ nss-util \ pango \ --setopt=install_weak_deps=0 && \ microdnf clean all # Use official uv image — no tar/gzip/curl needed COPY --from=ghcr.io/astral-sh/uv:latest /uv /usr/local/bin/uv COPY --from=ghcr.io/astral-sh/uv:latest /uvx /usr/local/bin/uvx ENV PATH="/usr/local/bin:$PATH" WORKDIR /app COPY pyproject.toml uv.lock README.md ./ # 1001:0 matches USER 1001; g+rwX lets OpenShift's arbitrary UID run with GID 0 (typical restricted SCC). RUN mkdir -p /app/cuga_workspace /app/crm_tmp /app/.cuga/knowledge /data/dbs && \ chown -R 1001:0 /data /app/.cuga && \ chmod -R g+rwX /app/.cuga COPY --from=builder --chown=1001:0 --chmod=0775 /app/.venv /app/.venv COPY --from=builder --chown=1001:0 --chmod=0775 /app/.playwright /app/.playwright COPY --from=builder --chown=1001:0 --chmod=0775 /app/.cache /app/.cache COPY --from=builder --chown=1001:0 --chmod=0775 /app/src /app/src COPY --from=builder --chown=1001:0 --chmod=0775 /app/docs /app/docs COPY --chown=1001:0 --chmod=0775 \ src/cuga/demo_tools/huggingface/contacts.txt \ src/cuga/demo_tools/huggingface/cuga_knowledge.md \ src/cuga/demo_tools/huggingface/cuga_playbook.md \ src/cuga/demo_tools/huggingface/email_template.md \ src/cuga/demo_tools/huggingface/sovereign_core_overview.pdf \ /app/cuga_workspace/ COPY --chown=1001:0 --chmod=0775 scripts/docker-entrypoint.sh /app/scripts/docker-entrypoint.sh USER 1001 EXPOSE 7860 ENV USER=cuga ENV LOGNAME=cuga ENV CUGA_HOST=0.0.0.0 ENV DYNACONF_SERVER_PORTS__DEMO=7860 ENV CUGA_DEMO_MODE=default ENV HOME=/tmp ENV UV_CACHE_DIR=/tmp/uv-cache ENV UV_TOOL_DIR=/tmp/uv-tools ENV CUGA_LOGGING_DIR=/tmp/cuga-logging ENV CUGA_DBS_DIR=/data/dbs ENV DYNACONF_CRM_DB_PATH=/tmp/crm_tmp/crm_db_default ENV PLAYWRIGHT_BROWSERS_PATH=/app/.playwright ENV FASTEMBED_CACHE_PATH=/app/.cache/fastembed \ DOCLING_ARTIFACTS_PATH=/app/.cache/docling \ HF_HOME=/app/.cache/huggingface \ HF_HUB_OFFLINE=1 ENTRYPOINT ["/bin/sh", "/app/scripts/docker-entrypoint.sh"] CMD [] ================================================ FILE: LICENSE ================================================ Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. 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We also recommend that a file or class name and description of purpose be included on the same page as the copyright notice for easier identification within third-party archives. Copyright 2025 CUGA Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/ Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. --- # NOTICE This project includes code from multiple open source projects: ## BrowserGym Copyright 2024 ServiceNow Licensed under Apache License 2.0 Source: https://github.com/ServiceNow/BrowserGym Portions of this project are derived from BrowserGym, including: - cuga/backend/browser_env/browser/chat_async.py - cuga/backend/browser_env/page_understanding/tranformer_utils/transform_utils.py - cuga/backend/browser_env/page_understanding/tranformer_utils/dom_transform_utils.py - cuga/backend/browser_env/browser/gym_env_async.py - cuga/backend/browser_env/browser/gym_obs/obs.py - cuga/backend/browser_env/browser/gym_obs/obs_async.py - cuga/backend/browser_env/browser/gym_obs/extract_chrome_extension.py - cuga/backend/browser_env/browser/env.py - cuga/backend/browser_env/browser/extension_env_async.py - cuga/backend/browser_env/browser/open_ended_async.py - cuga/backend/browser_env/browser/gym_env.py - cuga/backend/browser_env/browser/gym_obs/javascript/frame_unmark_elements.js - cuga/backend/browser_env/browser/gym_obs/javascript/frame_mark_elements.js - cuga/backend/browser_env/browser/utils_async.py ## browser-use Copyright (c) 2024 Gregor Zunic Licensed under MIT License Source: https://github.com/browser-use/browser-use Portions of this project are derived from browser-use, including: - frontend-workspaces/extension/src/content/page_analysis/CachedXPathBuilder.ts - frontend-workspaces/extension/src/content/page_analysis/constants.ts - frontend-workspaces/extension/src/content/page_analysis/dom_tree_module.ts - frontend-workspaces/extension/src/content/page_analysis/DomCache.ts - frontend-workspaces/extension/src/content/page_analysis/DomTree.ts - frontend-workspaces/extension/src/content/page_analysis/ElementHighlighter.ts - frontend-workspaces/extension/src/content/page_analysis/NodeElementCollector.ts - frontend-workspaces/extension/src/content/page_analysis/NodeHelper.ts - frontend-workspaces/extension/src/content/page_analysis/PageHighlighter.ts - frontend-workspaces/extension/src/content/page_analysis/types.d.ts ## LangChain Copyright (c) 2025 LangChain Licensed under MIT License Source: https://github.com/langchain-ai/langgraph Portions of this project derived from LangChain include: - cuga/backend/cuga_graph/nodes/api/code_agent/code_act_agent.py ## Original Work Copyright 2025 CUGA Licensed under Apache License 2.0 All original code and modifications are licensed under Apache License 2.0. ================================================ FILE: README.md ================================================ <picture> <source media="(prefers-color-scheme: dark)" srcset="/docs/images/cuga-dark.png"> <source media="(prefers-color-scheme: light)" srcset="/docs/images/cuga-light.png"> <img alt="CUGA" src="/docs/images/cuga-dark.png"> </picture> <div align="center"> # CUGA: Configurable Generalist Agent — Agent Harness for the Enterprise ### Start with a generalist. Customize for your domain. Deploy faster! Building a domain-specific enterprise agent from scratch is complex and requires significant effort: agent and tool orchestration, planning logic, safety and alignment policies, evaluation for performance/cost tradeoffs and ongoing improvements. CUGA is a state-of-the-art generalist agent designed with enterprise needs in mind, so you can focus on configuring your domain tools, policies and workflow. --- [![🦉🤗 Try CUGA Live on Hugging Face Spaces](https://img.shields.io/badge/🦉🤗_Try_CUGA_Live_on_Hugging_Face_Spaces-FFD21E?style=for-the-badge)](https://huggingface.co/spaces/ibm-research/cuga-agent) [![Python](https://shields.io/badge/Python-3.12-blue?logo=python&style=for-the-badge)](https://www.python.org/) [![CugaAgent SDK](https://shields.io/badge/CugaAgent_SDK-Documentation-blue?logo=python&style=for-the-badge)](https://docs.cuga.dev/docs/sdk/cuga_agent/) [![Status](https://shields.io/badge/Status-Active-success?logo=checkmarx&style=for-the-badge)]() [![Documentation](https://shields.io/badge/Documentation-Available-blue?logo=gitbook&style=for-the-badge)](https://docs.cuga.dev) [![Discord](https://shields.io/badge/Discord-Join-blue?logo=discord&style=for-the-badge)](https://discord.gg/aH6rAEEW) [![AppWorld](https://img.shields.io/badge/%F0%9F%A5%87%20%231%20on-AppWorld-gold?style=for-the-badge)](https://appworld.dev/leaderboard) [![WebArena](https://img.shields.io/badge/Top--tier%20on-WebArena-silver?style=for-the-badge)](https://docs.google.com/spreadsheets/d/1M801lEpBbKSNwP-vDBkC_pF7LdyGU1f_ufZb_NWNBZQ/edit?gid=0#gid=0) </div> --- > **🎉 NEW: CUGA Enterprise SDK with Policy System** — Build production-ready AI agents with enterprise-grade governance. Programmatically configure safety guards, workflow controls, and compliance policies via Python SDK or visual UI. Ensure consistent, secure, and compliant agent behavior across your organization. > > **Policy Types & Enterprise Value:** > > | Policy Type | Value | Use Cases | > |------------|-------|-----------| > | **Intent Guard** | Block unauthorized actions | Data deletion prevention, access restrictions, compliance enforcement | > | **Playbook** | Standardize workflows | Onboarding, audit workflows, regulatory compliance | > | **Tool Approval** | Human oversight | Financial transactions, data modifications | > | **Tool Guide** | Domain knowledge | Compliance notes, domain context | > | **Output Formatter** | Format, redirect, govern outputs | report generation, response routing, output masking | > > 📚 **Documentation**: [SDK Guide](https://docs.cuga.dev/docs/sdk/cuga_agent/) | [Policies Guide](https://docs.cuga.dev/docs/sdk/policies/) | [Quick Start →](#-using-cuga-as-a-python-sdk) ## Why CUGA? ### 🏆 Benchmark Performance CUGA achieves state-of-the-art performance on leading benchmarks: - 🥇 **#1 on [AppWorld](https://appworld.dev/leaderboard)** — a benchmark with 750 real-world tasks across 457 APIs - 🥈 **Top-tier on [WebArena](https://docs.google.com/spreadsheets/d/1M801lEpBbKSNwP-vDBkC_pF7LdyGU1f_ufZb_NWNBZQ/edit?gid=0#gid=0)** (#1 from 02/25 - 09/25) — a complex benchmark for autonomous web agents across application domains ### ✨ Key Features & Capabilities - **High-performing generalist agent** — Benchmarked on complex web and API tasks. Combines best-of-breed agentic patterns (e.g. planner-executor, code-act) with structured planning and smart variable management to prevent hallucination and handle complexity - **Configurable reasoning modes** — Balance performance and cost/latency with flexible modes ranging from fast heuristics to deep planning, optimizing for your specific task requirements - **Flexible agent and tool integration** — Seamlessly integrate tools via OpenAPI specs, MCP servers, and Langchain, enabling rapid connection to REST APIs, custom protocols, and Python functions - **Integrates with Langflow** — Low-code visual build experience for designing and deploying agent workflows without extensive coding - **Open-source and composable** — Built with modularity in mind, CUGA itself can be exposed as a tool to other agents, enabling nested reasoning and multi-agent collaboration. Evolving toward enterprise-grade reliability - **Policy System** — Configure agent behavior with 5 policy types (Intent Guard, Playbook, Tool Approval, Tool Guide, Output Formatter) via the Python SDK or standalone UI in demo mode. Includes human-in-the-loop approval gates for safe agent behavior in enterprise contexts. See [SDK Docs](https://docs.cuga.dev/docs/sdk/cuga_agent/) and [Policies Guide](https://docs.cuga.dev/docs/sdk/policies/) - **Save-and-reuse capabilities** _(Experimental)_ — Capture and reuse successful execution paths (plans, code, and trajectories) for faster and consistent behavior across repeated tasks Explore the [Roadmap](#roadmap) to see what's ahead, or join the [🤝 Call for the Community](#call-for-the-community) to get involved. ## 🎬 CUGA in Action ### Hybrid Task Execution Watch CUGA seamlessly combine web and API operations in a single workflow: **Example Task:** `get top account by revenue from digital sales, then add it to current page` https://github.com/user-attachments/assets/0cef8264-8d50-46d9-871a-ab3cefe1dde5 <details> <summary><b>Would you like to test this? (Advanced Demo)</b></summary> Experience CUGA's hybrid capabilities by combining API calls with web interactions: ### Setup Steps: 1. **Switch to hybrid mode:** ```bash # Edit ./src/cuga/settings.toml and change: mode = 'hybrid' # under [advanced_features] section ``` 2. **Install browser API support:** - Installs playwright browser API and Chromium browser - The `playwright` installer should already be included after installing with [Quick Start](#-quick-start) ```bash playwright install chromium ``` 3. **Start the demo:** ```bash cuga start demo ``` 4. **Enable the browser extension:** - Click the extension puzzle icon in your browser - Toggle the CUGA extension to activate it - This will open the CUGA side panel 5. **Open the test application:** - Navigate to: [Sales app](https://samimarreed.github.io/sales/) 6. **Try the hybrid task:** ``` get top account by revenue from digital sales then add it to current page ``` 🎯 **What you'll see:** CUGA will fetch data from the Digital Sales API and then interact with the web page to add the account information directly to the current page - demonstrating seamless API-to-web workflow integration! </details> ### Human in the Loop Task Execution Watch CUGA pause for human approval during critical decision points: **Example Task:** `get best accounts` https://github.com/user-attachments/assets/d103c299-3280-495a-ba66-373e72554e78 <details> <summary><b>Would you like to try this? (HITL Demo)</b></summary> Experience CUGA's Human-in-the-Loop capabilities where the agent pauses for human approval at key decision points: ### Setup Steps: 1. **Enable HITL mode:** ```bash # Edit ./src/cuga/settings.toml and ensure: api_planner_hitl = true # under [advanced_features] section ``` 2. **Start the demo:** ```bash cuga start demo ``` 3. **Try the HITL task:** ``` get best accounts ``` 🎯 **What you'll see:** CUGA will pause at critical decision points, showing you the planned actions and waiting for your approval before proceeding. </details> ## 🚀 Quick Start <details> <summary><em style="color: #666;">📋 Prerequisites (click to expand)</em></summary> - **Python 3.12+** - [Download here](https://www.python.org/downloads/) - **uv package manager** - [Installation guide](https://docs.astral.sh/uv/getting-started/installation/) </details> ```bash # In terminal, clone the repository and navigate into it git clone https://github.com/cuga-project/cuga-agent.git cd cuga-agent # 1. Create and activate virtual environment uv venv --python=3.12 && source .venv/bin/activate # 2. Install dependencies uv sync # 3. Set up environment variables # Create .env file with your API keys echo "OPENAI_API_KEY=your-openai-api-key-here" > .env # 4. Start the demo cuga start demo_crm --read-only # Chrome will open automatically at https://localhost:7860 # then try sending your task to CUGA: 'from contacts.txt show me which users belong to the crm system' # 5. View agent trajectories (optional) cuga viz # This launches a web-based dashboard for visualizing and analyzing # agent execution trajectories, decision-making, and tool usage ``` <details> <summary>🤖 LLM Configuration - Advanced Options</summary> --- Refer to: [`.env.example`](.env.example) for detailed examples. CUGA supports multiple LLM providers with flexible configuration options. You can configure models through TOML files or override specific settings using environment variables. ## Supported Platforms - **OpenAI** - GPT models via OpenAI API (also supports LiteLLM via base URL override) - **IBM WatsonX** - IBM's enterprise LLM platform - **Azure OpenAI** - Microsoft's Azure OpenAI service - **Groq** - High-performance inference platform with fast LLM models - **RITS** - Internal IBM research platform - **OpenRouter** - LLM API gateway provider ## Configuration Priority 1. **Environment Variables** (highest priority) 2. **TOML Configuration** (medium priority) 3. **Default Values** (lowest priority) ### Option 1: OpenAI 🌐 **Setup Instructions:** 1. Create an account at [platform.openai.com](https://platform.openai.com) 2. Generate an API key from your [API keys page](https://platform.openai.com/api-keys) 3. Add to your `.env` file: ```env # OpenAI Configuration OPENAI_API_KEY=sk-...your-key-here... AGENT_SETTING_CONFIG="settings.openai.toml" # Optional overrides MODEL_NAME=gpt-4o # Override model name OPENAI_BASE_URL=https://api.openai.com/v1 # Override base URL OPENAI_API_VERSION=2024-08-06 # Override API version ``` **Default Values:** - Model: `gpt-4o` - API Version: OpenAI's default API Version - Base URL: OpenAI's default endpoint ### Option 2: IBM WatsonX 🔵 **Setup Instructions:** 1. Access [IBM WatsonX](https://www.ibm.com/watsonx) 2. Create a project and get your credentials: - Project ID - API Key - Region/URL 3. Add to your `.env` file: ```env # WatsonX Configuration WATSONX_API_KEY=your-watsonx-api-key WATSONX_PROJECT_ID=your-project-id WATSONX_URL=https://us-south.ml.cloud.ibm.com # or your region AGENT_SETTING_CONFIG="settings.watsonx.toml" # Optional override MODEL_NAME=meta-llama/llama-4-maverick-17b-128e-instruct-fp8 # Override model for all agents ``` **Default Values:** - Model: `meta-llama/llama-4-maverick-17b-128e-instruct-fp8` ### Option 3: Azure OpenAI **Setup Instructions:** 1. Add to your `.env` file: ```env AGENT_SETTING_CONFIG="settings.azure.toml" # Default config uses ETE AZURE_OPENAI_API_KEY="<your azure apikey>" AZURE_OPENAI_ENDPOINT="<your azure endpoint>" OPENAI_API_VERSION="2024-08-01-preview" ``` ### Option 4: LiteLLM Support CUGA supports LiteLLM through the OpenAI configuration by overriding the base URL: 1. Add to your `.env` file: ```env # LiteLLM Configuration (using OpenAI settings) OPENAI_API_KEY=your-api-key AGENT_SETTING_CONFIG="settings.openai.toml" # Override for LiteLLM MODEL_NAME=Azure/gpt-4o # Override model name OPENAI_BASE_URL=https://your-litellm-endpoint.com # Override base URL OPENAI_API_VERSION=2024-08-06 # Override API version ``` ### Option 5: Groq Support ⚡ **Setup Instructions:** 1. Create an account at [groq.com](https://groq.com) 2. Generate an API key from your [API keys page](https://console.groq.com/keys) 3. Add to your `.env` file: ```env # Groq Configuration GROQ_API_KEY=your-groq-api-key-here AGENT_SETTING_CONFIG="settings.groq.toml" # Optional override MODEL_NAME=llama-3.1-70b-versatile # Override model name ``` **Default Values:** - Model: Configured in `settings.groq.toml` - Base URL: Groq's default endpoint ### Option 6: OpenRouter Support **Setup Instructions:** 1. Create an account at [openrouter.ai](https://openrouter.ai) 2. Generate an API key from your account settings 3. Add to your `.env` file: ```env # OpenRouter Configuration OPENROUTER_API_KEY=your-openrouter-api-key AGENT_SETTING_CONFIG="settings.openrouter.toml" OPENROUTER_BASE_URL="https://openrouter.ai/api/v1" # Optional override MODEL_NAME=openai/gpt-4o # Override model name ``` ## Configuration Files CUGA uses TOML configuration files located in `src/cuga/configurations/models/`: - `settings.openai.toml` - OpenAI configuration (also supports LiteLLM via base URL override) - `settings.watsonx.toml` - WatsonX configuration - `settings.azure.toml` - Azure OpenAI configuration - `settings.groq.toml` - Groq configuration - `settings.openrouter.toml` - OpenRouter configuration Each file contains agent-specific model settings that can be overridden by environment variables. </details> <div style="margin: 20px 0; padding: 15px; border-left: 4px solid #2196F3; border-radius: 4px;"> 💡 **Tip:** Want to use your own tools or add your MCP tools? Check out [`src/cuga/backend/tools_env/registry/config/mcp_servers.yaml`](src/cuga/backend/tools_env/registry/config/mcp_servers.yaml) for examples of how to configure custom tools and APIs, including those for digital sales. </div> ## 📦 Using CUGA as a Python SDK CUGA can be easily integrated into your Python applications as a library. The SDK provides a clean, minimal API for creating and invoking agents with custom tools. 📚 **SDK Documentation**: [SDK Documentation](https://docs.cuga.dev/docs/sdk/cuga_agent/) ### Quick Start ```python from cuga import CugaAgent from langchain_core.tools import tool import asyncio @tool def add_numbers(a: int, b: int) -> int: '''Add two numbers together''' return a + b @tool def multiply_numbers(a: int, b: int) -> int: '''Multiply two numbers together''' return a * b # Create agent with tools agent = CugaAgent(tools=[add_numbers, multiply_numbers]) async def main(): # Add an Intent Guard to block specific operations await agent.policies.add_intent_guard( name="Block Delete Operations", description="Prevents deletion of critical data", keywords=["delete", "remove", "erase"], response="Deletion operations are not permitted for security reasons.", priority=100 # Higher priority = checked first ) # Add a Playbook to provide step-by-step guidance for complex workflows await agent.policies.add_playbook( name="Budget Analysis Workflow", description="Multi-step process for analyzing financial budgets", natural_language_trigger=["When user asks to analyze their budget"], content="""# Budget Analysis Workflow ## Step 1: Calculate Total Expenses - Sum all expense categories using add_numbers - Document each category amount ## Step 2: Calculate Total Revenue - Sum all revenue streams using add_numbers - Include all income sources ## Step 3: Calculate Profit Margin - Use multiply_numbers to calculate profit (revenue - expenses) - Calculate margin percentage ## Step 4: Generate Recommendations - Compare against target budget - Identify areas for optimization - Provide actionable insights""", priority=50 ) result = await agent.invoke("Analyze my budget: expenses are 5000 and 3000, revenue is 12000") print(result.answer) # The agent's response if __name__ == "__main__": asyncio.run(main()) ``` ### Key Features - **Simple API**: `CugaAgent(tools=[...])` → `await agent.invoke(message)` - **Streaming**: Monitor execution in real-time with `agent.stream()` - **State Isolation**: Per-user sessions with `thread_id` - **LangGraph Integration**: Access underlying graph for advanced use cases - **Flexible Tools**: Direct tools or custom tool providers - **Policy System**: Comprehensive policy framework with 5 types: - **Intent Guard**: Block or modify specific user intents - **Playbook**: Step-by-step guidance for complex workflows - **Tool Approval**: Require human approval before executing tools - **Tool Guide**: Enhance tool descriptions with additional context - **Output Formatter**: Format agent responses based on triggers 📚 **Documentation**: [SDK Guide](https://docs.cuga.dev/docs/sdk/cuga_agent/) | [Policies Guide](https://docs.cuga.dev/docs/sdk/policies/) ### Knowledge Base CUGA includes a built-in knowledge base powered by LangChain and local vector stores. **Docling** is integrated for document ingestion: it parses and normalizes PDFs, Office files, HTML, Markdown, images, and other supported types before chunking and embedding, so the pipeline stays self-contained with no external document services. When enabled, the agent can search, ingest, and manage documents. **Try the knowledge demo:** same as the main demo but with the knowledge engine on (upload documents and query them): ```bash cuga start demo_knowledge ``` Knowledge is **enabled by default** via `settings.toml`. The SDK auto-injects knowledge tools and awareness into the agent, so it knows what documents are available and how to search them. #### Programmatic Access ```python from cuga import CugaAgent import asyncio agent = CugaAgent(enable_knowledge=True) async def main(): # Ingest a document await agent.knowledge.ingest("/path/to/quarterly_report.pdf") # The agent now automatically knows about this document result = await agent.invoke("What does the report say about Q4 revenue?") print(result.answer) # Agent searches knowledge base and answers # Direct search results = await agent.knowledge.search("Q4 revenue figures") for r in results: print(f"{r['filename']} (page {r['page']}): {r['text'][:100]}") # List documents docs = await agent.knowledge.list_documents() # Clean up await agent.aclose() asyncio.run(main()) ``` #### Session-Scoped Knowledge Documents can be scoped to a specific conversation thread: ```python thread_id = "user-session-123" # Ingest into session scope (temporary, per-conversation) await agent.knowledge.ingest("/path/to/file.pdf", scope="session", thread_id=thread_id) # Search session documents results = await agent.knowledge.search("query", scope="session", thread_id=thread_id) # Agent scope (default) — permanent, shared across conversations await agent.knowledge.ingest("/path/to/file.pdf", scope="agent") ``` #### Disabling Knowledge ```python agent = CugaAgent(tools=[my_tools], enable_knowledge=False) ``` #### Supported Document Types PDF, DOCX, XLSX, PPTX, HTML, Markdown, images, and more (via Docling). --- ## CugaSupervisor (Multi-Agent) Orchestrate multiple agents with a single supervisor: delegate tasks to specialized sub-agents, mix local agents with remote A2A agents, and pass data between them. 📚 **Documentation**: [CugaSupervisor](https://docs.cuga.dev/docs/sdk/cuga_supervisor) **Try the supervisor demo:** run the multi-agent demo (CRM + email sub-agents) with: ```bash cuga start demo_supervisor ``` ### Quick Start ```python from cuga import CugaAgent, CugaSupervisor from langchain_core.tools import tool import asyncio @tool def get_customers(limit: int = 10) -> str: """Fetch top customers from CRM with name, email, and revenue. Returns a formatted string.""" customers = [ "Alice (alice@example.com, $250,000)", "Bob (bob@example.com, $180,000)", "Carol (carol@example.com, $120,000)", "Dave (dave@example.com, $95,000)", "Eve (eve@example.com, $88,000)", ] top = customers[: min(limit, len(customers))] return "Top customers by revenue: " + "; ".join(f"{i+1}. {c}" for i, c in enumerate(top)) @tool def send_email(to: str, body: str) -> str: """Send an email. Returns confirmation.""" return f"Email sent successfully to {to}" async def main(): crm_agent = CugaAgent(tools=[get_customers]) crm_agent.description = "CRM and customer data" email_agent = CugaAgent(tools=[send_email]) email_agent.description = "Sending emails and notifications" supervisor = CugaSupervisor(agents={ "crm": crm_agent, "email": email_agent, }) result = await supervisor.invoke("Get our top 5 customers by revenue, then send the top customer a thank-you email") print(result.answer) asyncio.run(main()) ``` To add a remote agent via A2A, pass an external config in `agents`: `"analytics": {"type": "external", "description": "...", "config": {"a2a_protocol": {"endpoint": "http://localhost:9999", "transport": "http"}}}`. ### Supervisor features - **Delegation**: Supervisor hands work to sub-agents and can pass variables between them when needed. - **Internal + external**: Combine local `CugaAgent` instances with external agents via **A2A**, task-only or variables in metadata if enabled. - **Variable passing**: Use `variables=["var_name"]` to pass previous agent outputs or context to the next agent (for internal agents, or A2A when `pass_variables_a2a` is enabled in settings). - **Agent cards**: For A2A agents, capabilities and description are taken from the agent card and shown in the supervisor prompt. You can also load agents from YAML with `CugaSupervisor.from_yaml("path/to/config.yaml")`. Enable the supervisor in `settings.toml` under `[supervisor]` when using the server. --- ## Configurations <details> <summary>🔒 Running with a secure code sandbox</summary> Cuga supports isolated code execution using Docker/Podman containers for enhanced security. 1. **Install container runtime**: Download and install [Rancher Desktop](https://rancherdesktop.io/) or Docker. 2. **Install sandbox dependencies**: ```bash uv sync --group sandbox ``` 3. **Start with remote sandbox enabled**: ```bash cuga start demo --sandbox ``` This automatically configures Cuga to use Docker/Podman for code execution instead of local execution. 4. **Test your sandbox setup** (optional): ```bash # Test local sandbox (default) cuga test-sandbox # Test remote sandbox with Docker/Podman cuga test-sandbox --remote ``` You should see the output: `('test succeeded\n', {})` **Note**: Without the `--sandbox` flag, Cuga uses local Python execution (default), which is faster but provides less isolation. </details> <details> <summary>☁️ Running with E2B Cloud Sandbox</summary> CUGA supports [E2B](https://e2b.dev) for cloud-based code execution in secure, ephemeral sandboxes. This provides better isolation than local execution while being faster than Docker/Podman containers. ### Prerequisites: 1. **Get an E2B API key**: - Sign up at [e2b.dev](https://e2b.dev) - Create an API key from your [dashboard](https://e2b.dev/dashboard) 2. **Set up the E2B template**: ```bash # Install E2B CLI npm install -g @e2b/cli # Login with your API key e2b auth login # Create a template (one-time setup) # This creates a 'cuga-langchain' template that CUGA uses e2b template build --name cuga-langchain ``` 3. **Install E2B dependencies**: ```bash uv sync --group e2b ``` 4. **Configure environment**: Add to your `.env` file: ```env E2B_API_KEY=your-e2b-api-key-here ``` ### Exposing Registry to E2B (Required) E2B runs in the cloud and needs to call your local API registry to execute tools. You need to expose your local registry publicly using a tunneling service like [ngrok](https://ngrok.com). #### Option 1: Expose Registry Directly (Port 8001) Best if you have multiple ports available: ```bash # In a separate terminal, start ngrok tunnel to registry ngrok http 8001 # You'll get a public URL like: https://abc123.ngrok.io # Copy this URL ``` Then edit `./src/cuga/settings.toml`: ```toml [server_ports] function_call_host = "https://abc123.ngrok.io" # Your ngrok URL ``` #### Option 2: Expose CUGA Port with Proxy (Port 7860) Best if you're restricted to 1 port - CUGA will proxy calls to the registry: ```bash # In a separate terminal, start ngrok tunnel to CUGA ngrok http 7860 # You'll get a public URL like: https://xyz789.ngrok.io # Copy this URL ``` Then edit `./src/cuga/settings.toml`: ```toml [server_ports] function_call_host = "https://xyz789.ngrok.io" # Your ngrok URL ``` CUGA automatically proxies `/functions/call` requests to the registry when using the CUGA port. ### Enable E2B in Settings Edit `./src/cuga/settings.toml`: ```toml [advanced_features] e2b_sandbox = true e2b_sandbox_mode = "per-session" # Options: "per-session" | "single" | "per-call" e2b_sandbox_ttl = 600 # Cache TTL in seconds (10 minutes) ``` ### Sandbox Modes: - **`per-session`** (default): One sandbox per conversation thread, cached for reuse - **`single`**: Single shared sandbox across all threads (most cost-effective) - **`per-call`**: New sandbox for each execution (most isolated, highest cost) ### Start CUGA with E2B: ```bash # Make sure ngrok is running in another terminal cuga start demo ``` E2B will automatically execute code in cloud sandboxes. You'll see logs indicating "CODE SENT TO E2B SANDBOX" when E2B is active. ### Troubleshooting: - **Error: "function_call_host not configured"**: Make sure you've set `function_call_host` in settings.toml with your ngrok URL - **Tool execution fails**: Verify ngrok is running and the URL in settings.toml matches your ngrok URL - **Connection timeout**: Check that your firewall allows ngrok connections **Benefits of E2B**: - ✅ No Docker/Podman required - ✅ Faster than container-based sandboxing - ✅ Cloud-native with automatic scaling - ✅ Better isolation than local execution - ✅ Supports per-session caching for cost optimization **Note**: E2B is a paid service with a free tier. Check [e2b.dev/pricing](https://e2b.dev/pricing) for details. </details> <details> <summary>⚙️ Reasoning modes - Switch between Fast/Balanced/Accurate modes</summary> ## Available Modes under `./src/cuga` | Mode | File | Description | | ---------- | -------------------------------------- | ----------------------------------------------- | | `fast` | `./configurations/modes/fast.toml` | Optimized for speed | | `balanced` | `./configurations/modes/balanced.toml` | Balance between speed and precision _(default)_ | | `accurate` | `./configurations/modes/accurate.toml` | Optimized for precision | | `custom` | `./configurations/modes/custom.toml` | User-defined settings | ## Configuration ``` configurations/ ├── modes/fast.toml ├── modes/balanced.toml ├── modes/accurate.toml └── modes/custom.toml ``` Edit `settings.toml`: ```toml [features] cuga_mode = "fast" # or "balanced" or "accurate" or "custom" ``` **Documentation:** [./docs/flags.html](./docs/flags.html) </details> <details> <summary>🎯 Task Mode Configuration - Switch between API/Web/Hybrid modes</summary> ## Available Task Modes | Mode | Description | | -------- | --------------------------------------------------------------------------- | | `api` | API-only mode - executes API tasks _(default)_ | | `web` | Web-only mode - executes web tasks using browser extension | | `hybrid` | Hybrid mode - executes both API tasks and web tasks using browser extension | ## How Task Modes Work ### API Mode (`mode = 'api'`) - Opens tasks in a regular web browser - Best for API/Tools-focused workflows and testing ### Web Mode (`mode = 'web'`) - Interface inside a browser extension (available next to browser) - Optimized for web-specific tasks and interactions - Direct access to web page content and controls ### Hybrid Mode (`mode = 'hybrid'`) - Opens inside browser extension like web mode - Can execute both API/Tools tasks and web page tasks simultaneously - Starts from configurable URL defined in `demo_mode.start_url` - Most versatile mode for complex workflows combining web and API operations ## Configuration Edit `./src/cuga/settings.toml`: ```toml [demo_mode] start_url = "https://opensource-demo.orangehrmlive.com/web/index.php/auth/login" # Starting URL for hybrid mode [advanced_features] mode = 'api' # 'api', 'web', or 'hybrid' ``` </details> <details> <summary>📝 Special Instructions Configuration</summary> ## How It Works Each `.md` file contains specialized instructions that are automatically integrated into the CUGA's internal prompts when that component is active. Simply edit the markdown files to customize behavior for each node type. **Available instruction sets:** `answer`, `api_planner`, `code_agent`, `plan_controller`, `reflection`, `shortlister`, `task_decomposition` ## Configuration ``` configurations/ └── instructions/ ├── instructions.toml ├── default/ │ ├── answer.md │ ├── api_planner.md │ ├── code_agent.md │ ├── plan_controller.md │ ├── reflection.md │ ├── shortlister.md │ └── task_decomposition.md └── [other instruction sets]/ ``` Edit `configurations/instructions/instructions.toml`: ```toml [instructions] instruction_set = "default" # or any instruction set above ``` </details> <details> <summary><em style="color: #666;"> 🧠 Optional: Use Evolve with CugaLite</em></summary> Evolve can now be used with **CugaLite** to bring task-specific guidance into the prompt before execution and save completed trajectories after the run. This flow is: - **Opt-in** - disabled by default - **Non-blocking** - Evolve failures do not fail the task - **CugaLite-focused** - enabled for lite mode by default - **Optional integration** - install `cuga[evolve]` if you want the upstream Evolve package available locally, or let `uvx` fetch it on demand ### Setup Steps: 1. Choose how Evolve will be started. Recommended for normal CUGA usage: let the CUGA MCP registry launch Evolve for you. In the manager UI, add an MCP tool with: - Name: `evolve` - Connection type: `Command (stdio)` - Command: `uvx` - Args: `--from altk-evolve --with setuptools<70 evolve-mcp` Important: this command starts Evolve in `stdio` mode through the upstream Evolve package. It is intended to be launched by the CUGA registry, not run manually in a separate terminal. Alternative for standalone/manual debugging: run Evolve yourself as an SSE server: If you run Evolve from a checked-out `altk-evolve` repo instead of `uvx`, install the Postgres extras first with `uv sync --extra pgvector`. 2. Add these environment values in the MCP tool UI: ```env EVOLVE_BACKEND=postgres EVOLVE_PG_HOST=localhost EVOLVE_PG_PORT=5432 EVOLVE_PG_USER=postgres EVOLVE_PG_PASSWORD=postgres EVOLVE_PG_DBNAME=evolve EVOLVE_MODEL_NAME=Azure/gpt-4o OPENAI_API_KEY=env://OPENAI_API_KEY OPENAI_BASE_URL=env://OPENAI_BASE_URL ``` Each `env://...` value tells CUGA to read the real secret or setting from its own process environment at runtime, so make sure PostgreSQL is reachable, `pgvector` is available, and the configured OpenAI/LiteLLM-compatible model is one your gateway is allowed to use. 1. **[Optional]** Edit `./src/cuga/settings.toml` and enable lite mode plus Evolve: ```toml [advanced_features] lite_mode = true [evolve] enabled = true url = "http://127.0.0.1:8201/sse" mode = "auto" app_name = "evolve" lite_mode_only = true save_on_success = true save_on_failure = true async_save = true timeout = 30.0 ``` If you use the recommended registry-managed setup above, keep `mode = "auto"` or set `mode = "registry"`. If you run Evolve manually as a standalone SSE server, keep `url = "http://127.0.0.1:8201/sse"` and set `mode = "direct"` if you want to skip registry lookup entirely. If you use Evolve tip generation, make sure the environment for the Evolve MCP server includes the required Evolve model settings. Otherwise `save_trajectory` may fail later with a LiteLLM/OpenAI model access error even when the MCP connection itself works. 1. Start the same CRM demo with sample workspace files: ```bash cuga start demo_crm --sample-memory-data ``` 1. Run a task that routes through CugaLite, for example: ```text Identify the common cities between my cuga_workspace/cities.txt and cuga_workspace/company.txt ``` ### What happens during a run? 1. CUGA derives the task description from the current sub-task or first user message 2. CugaLite asks Evolve for relevant guidelines 3. Returned guidelines are appended to the system prompt under an `Evolve Guidelines` section 4. The task executes normally 5. The user / assistant trajectory is saved back to Evolve after completion ### Notes - `async_save = true` saves trajectories in the background and avoids blocking the response - `save_on_success` and `save_on_failure` let you control which runs are recorded - `mode = "auto"` lets CUGA use a registry-managed Evolve MCP server when available and fall back to the direct SSE URL otherwise - `mode = "registry"` is best when you want Evolve to be fully managed as a normal CUGA MCP tool - `mode = "direct"` is best when you are manually running an SSE Evolve server outside CUGA - If Evolve is unavailable, times out, or returns no guidance, CUGA continues normally </details> ## 🔧 Advanced Usage <details> <summary><b>💾 Save & Reuse</b></summary> ## Setup • Change `./src/cuga/settings.toml`: `cuga_mode = "save_reuse_fast"` • Run: `cuga start demo` ## Demo Steps • **First run**: `get top account by revenue` - This is a new flow (first time) - Wait for task to finish - Approve to save the workflow - Provide another example to help generalization of flow e.g. `get top 2 accounts by revenue` • **Flow now will be saved**: - May take some time - Flow will be successfully saved • **Verify reuse**: `get top 4 accounts by revenue` - Should run faster using saved workflow </details> <details> <summary><b>🔧 Adding Tools: Comprehensive Examples</b></summary> CUGA supports three types of tool integrations. Each approach has its own use cases and benefits: ## 📋 **Tool Types Overview** | Tool Type | Best For | Configuration | Runtime Loading | | ------------- | -------------------------------------- | ------------------ | --------------- | | **OpenAPI** | REST APIs, existing services | `mcp_servers.yaml` | ✅ Build | | **MCP** | Custom protocols, complex integrations | `mcp_servers.yaml` | ✅ Build | | **LangChain** | Python functions, rapid prototyping | Direct import | ✅ Runtime | ## 📚 **Additional Resources** - **Tool Registry**: [./src/cuga/backend/tools_env/registry/README.md](./src/cuga/backend/tools_env/registry/README.md) - **Comprehensive example with different tools + MCP**: [./docs/examples/cuga_with_runtime_tools/README.md](Adding Tools) - **CUGA as MCP**: [./docs/examples/cuga_as_mcp/README.md](docs/examples/cuga_as_mcp) </details> ### Test Scenarios - E2E All tests are available through `./src/scripts/run_tests.sh`: **Unit Tests** - Registry: OpenAPI integration, MCP server functionality, service configurations - Variables Manager: Core functionality, metadata handling, singleton pattern - Code Executors: Local sandbox and E2B lite execution **Policy Integration Tests** (`src/cuga/backend/cuga_graph/policy/tests/`) - Intent Guard: Blocking behavior, priority resolution, multiple guard scenarios - Playbook: Guidance injection, plan refinement, workflow execution - Tool Approval: Human-in-the-loop approval flows (approve/deny) - Tool Guide: Context enhancement and metadata injection - Output Formatter: Response formatting and routing - NL Trigger Conflict Resolution: Embedding-based similarity search with LLM conflict resolution - Embedding Similarity: Vector search, policy matching, threshold validation - Keyword Operators: AND/OR logic, case sensitivity, multi-keyword matching **SDK Integration Tests** (`src/cuga/sdk_core/tests/`) - SDK functionality: Agent invocation, streaming, tool integration - Policy management: Policy loading, matching, and execution via SDK **Stability Tests** (`run_stability_tests.py`) - Fast Mode: Get top account by revenue, list accounts, find VP sales high-value accounts - CRM Workflows: Contacts management, email operations, tool discovery - HF Utterances: Account queries, revenue calculations, playbook execution - Execution: Supports local and Docker execution, parallel/sequential modes, cross-version testing ## 🧪 Running Tests Run all tests (unit, integration, and stability): ```bash ./src/scripts/run_tests.sh ``` Run unit tests only: ```bash ./src/scripts/run_tests.sh unit_tests ``` ## 📊 Evaluation For information on how to evaluate, see the [CUGA Evaluation Documentation](src/cuga/evaluation/README.md) ## 📚 Resources - 📖 [Example applications](./docs/examples) - 📧 Contact: [CUGA Team](https://forms.office.com/pages/responsepage.aspx?id=V3D2_MlQ1EqY8__KZK3Z6UtMUa14uFNMi1EyUFiZFGRUQklOQThLRjlYMFM2R1dYTk5GVTFMRzNZVi4u&route=shorturl) ## Call for the Community CUGA is open source because we believe **trustworthy enterprise agents must be built together**. Here's how you can help: - **Share use cases** → Show us how you'd use CUGA in real workflows. - **Request features** → Suggest capabilities that would make it more useful. - **Report bugs** → Help improve stability by filing clear, reproducible reports. All contributions are welcome through [GitHub Issues](../../issues/new/choose) - whether it's sharing use cases, requesting features, or reporting bugs! ## Roadmap Amongst other, we're exploring the following directions: - **Policy support**: procedural SOPs, domain knowledge, input/output guards, context- and tool-based constraints - **Performance improvements**: dynamic reasoning strategies that adapt to task complexity ### Before Submitting a PR Please follow the contribution guide in [CONTRIBUTING.md](CONTRIBUTING.md). --- [![Star History Chart](https://api.star-history.com/svg?repos=cuga-project/cuga-agent&type=Timeline)](https://star-history.com/#cuga-project/cuga-agent&Date) ## Contributors [![cuga agent contributors](https://contrib.rocks/image?repo=cuga-project/cuga-agent)](https://github.com/cuga-project/cuga-agent/graphs/contributors) ================================================ FILE: __init__.py ================================================ ================================================ FILE: deployment/README.md ================================================ # CUGA Helm Chart Deploy CUGA agent to Kubernetes. ## Quick Start ```bash # 1. Create .env with your API key cp .env.example .env # Or: cp deployment/.env.example deployment/.env # Edit and set GROQ_API_KEY or OPENAI_API_KEY # 2. Run deploy script (cleans, builds, deploys) ./deployment/deploy-local.sh # 3. Inspect logs until ready (wait for "Manager mode. Press Ctrl+C to stop" and services table) kubectl logs -l app.kubernetes.io/name=cuga -f # 4. Access (in another terminal, once Demo is listed) kubectl port-forward svc/cuga 7860:7860 # Open http://localhost:7860 ``` **Options:** ```bash ./deployment/deploy-local.sh -c settings.openai.toml # use OpenAI instead of Groq ./deployment/deploy-local.sh --help ``` Uses `deployment/.env` or `.env`. Auto-detects kind and loads image. Default: Groq. ## Prerequisites - Helm 3 - Kubernetes cluster (Docker Desktop, minikube, kind, or cloud) ## Image: Local vs Registry ### Option 1: Local Image Use when running on Docker Desktop, minikube, or kind with a locally built image. **Docker Desktop:** ```bash docker build -t cuga-agent:latest . helm install cuga ./deployment/helm/cuga --set image.pullPolicy=Never ``` **Minikube:** ```bash eval $(minikube docker-env) docker build -t cuga-agent:latest . helm install cuga ./deployment/helm/cuga --set image.pullPolicy=Never ``` **Kind:** ```bash docker build -t cuga-agent:latest . kind load docker-image cuga-agent:latest helm install cuga ./deployment/helm/cuga --set image.pullPolicy=Never ``` ### Option 2: Registry Image Use for cloud clusters (GKE, EKS, AKS) or when sharing images. ```bash # Build and push docker build -t your-registry.io/cuga-agent:latest . docker push your-registry.io/cuga-agent:latest # Install helm install cuga ./deployment/helm/cuga \ --set image.repository=your-registry.io/cuga-agent \ --set image.tag=latest ``` ## Secrets for API Keys API keys should not be in values files. Use a Kubernetes Secret. ### Create the secret ```bash kubectl create secret generic cuga-secrets \ --from-literal=OPENAI_API_KEY=sk-your-openai-key \ --from-literal=GROQ_API_KEY=gsk-your-groq-key ``` ### Use the secret in the chart Set `existingSecret` so the chart pulls `OPENAI_API_KEY` and `GROQ_API_KEY` from the secret: ```bash helm install cuga ./deployment/helm/cuga \ --set existingSecret=cuga-secrets \ --set env.MODEL_NAME=llama-3.1-70b-versatile \ --set env.AGENT_SETTING_CONFIG=settings.groq.toml ``` The secret can contain `OPENAI_API_KEY`, `GROQ_API_KEY`, `OPENAI_BASE_URL`, or any combination. Other env vars (`MODEL_NAME`, `AGENT_SETTING_CONFIG`) come from `values.yaml` or `--set`. ### Alternative: inline env (not recommended) For quick testing only, you can pass keys via `--set` (they will appear in `helm get values`): ```bash helm install cuga ./deployment/helm/cuga \ --set env.OPENAI_API_KEY=sk-xxx \ --set env.GROQ_API_KEY=gsk_xxx ``` ## Full example (local image + secrets) ```bash # 1. Build image docker build -t cuga-agent:latest . # 2. Create secret kubectl create secret generic cuga-secrets \ --from-literal=OPENAI_API_KEY=sk-xxx \ --from-literal=GROQ_API_KEY=gsk-xxx # 3. Install helm install cuga ./deployment/helm/cuga \ --set image.pullPolicy=Never \ --set existingSecret=cuga-secrets \ --set env.MODEL_NAME=llama-3.1-70b-versatile \ --set env.AGENT_SETTING_CONFIG=settings.groq.toml # 4. Access kubectl port-forward svc/cuga 7860:7860 # Open http://localhost:7860 ``` ## Viewing logs and pods ```bash # List pods kubectl get pods -l app.kubernetes.io/name=cuga # Stream logs (follow) kubectl logs -l app.kubernetes.io/name=cuga -f # Logs from a specific pod kubectl logs <pod-name> -f # Pod details (events, state, restarts) kubectl describe pod -l app.kubernetes.io/name=cuga # Exec into a pod kubectl exec -it <pod-name> -- /bin/sh ``` ## Stop and uninstall ```bash # Stop port-forward (if running): Ctrl+C in the terminal # Uninstall the release (removes deployment, service, etc.) helm uninstall cuga # Optional: delete the secret kubectl delete secret cuga-secrets ``` ## Stop, update secrets, and rerun ```bash # 1. Uninstall helm uninstall cuga # 2. Update or recreate the secret kubectl delete secret cuga-secrets 2>/dev/null || true kubectl create secret generic cuga-secrets \ --from-literal=OPENAI_API_KEY=sk-new-key \ --from-literal=GROQ_API_KEY=gsk-new-key # 3. Reinstall helm install cuga ./deployment/helm/cuga \ --set image.pullPolicy=Never \ --set existingSecret=cuga-secrets \ --set env.MODEL_NAME=llama-3.1-70b-versatile \ --set env.AGENT_SETTING_CONFIG=settings.groq.toml ``` ## Upgrade ```bash # After changing values or chart helm upgrade cuga ./deployment/helm/cuga # With new values helm upgrade cuga ./deployment/helm/cuga \ --set env.MODEL_NAME=gpt-4o \ --set env.AGENT_SETTING_CONFIG=settings.openai.toml # List releases helm list ``` ## Persistence The `dbs` directory stores config, policies, conversation history, and memory. A PersistentVolumeClaim is enabled by default so data survives pod restarts. ```yaml # values.yaml persistence: dbs: enabled: true size: 1Gi ``` To disable (ephemeral storage): `--set persistence.dbs.enabled=false` ## Troubleshooting **CreateContainerConfigError** – Usually means the secret doesn't exist. Create it with at least one key (OpenAI or Groq): ```bash # Groq only kubectl create secret generic cuga-secrets --from-literal=GROQ_API_KEY=gsk-xxx # OpenAI only kubectl create secret generic cuga-secrets --from-literal=OPENAI_API_KEY=sk-xxx # Both + custom base URL kubectl create secret generic cuga-secrets \ --from-literal=OPENAI_API_KEY=sk-xxx \ --from-literal=GROQ_API_KEY=gsk-xxx \ --from-literal=OPENAI_BASE_URL=https://your-api.example.com/v1 ``` **ImagePullBackOff** – For local images, add `--set image.pullPolicy=Never`. For registry images, ensure the image exists and you're logged in. **Check pod events:** ```bash kubectl describe pod -l app.kubernetes.io/name=cuga ``` ## Environment Variables | Variable | Description | |----------|-------------| | OPENAI_API_KEY | OpenAI API key (for settings.openai.toml) | | GROQ_API_KEY | Groq API key (for settings.groq.toml) | | OPENAI_BASE_URL | Optional. Custom OpenAI-compatible API base URL | | MODEL_NAME | Model name (e.g. gpt-4o, llama-3.1-70b-versatile) | | AGENT_SETTING_CONFIG | Config file (settings.groq.toml, settings.openai.toml) | --- ## ☁️ OpenShift Deployment Deploy CUGA to an OpenShift cluster using the provided Helm chart and deployment script. Each deployment is scoped to an `INSTANCE_ID`, so multiple independent agent instances can coexist in the same namespace. ### Architecture (example: pepsi and coke in one namespace) One namespace, one shared PostgreSQL, two agent instances (pepsi, coke). Each agent has its own secrets, route (HTTPS), and PVC; both use the same postgres and can use the same OIDC provider for auth. **View diagram:** [architecture.html](helm/architecture.html) (open in browser) | Resource | Purpose | |----------|---------| | `postgres-secret` | DB password for postgres-pgvector (shared) | | `postgres-pgvector` | One PostgreSQL + pgvector per namespace | | `*-icr-pull-secret` | Image pull for `us.icr.io` per instance | | `*-env-secret` | GROQ_API_KEY, OIDC_*, DYNACONF_STORAGE__POSTGRES_URL, etc. | | Route | Edge TLS (HTTPS), serves `/`, `/chat`, `/manage` | | OIDC | Optional; set `DYNACONF_AUTH__ENABLED=true` and OIDC_* in env | ### Prerequisites - `oc` or `kubectl` CLI, logged in to your cluster (`oc login ...`) - `helm` 3 installed - IBM Container Registry API key (for pulling `us.icr.io/nocodeui-automation/cuga`) ### Quick Start ```bash # 1. Copy the env template and fill in your values cp deployment/helm/openshift.example.env deployment/helm/my-instance.env # Edit my-instance.env — set INSTANCE_ID, ICR_API_KEY, GROQ_API_KEY, etc. # 2. Run the deploy script (local SQLite storage) ./deployment/helm/deploy-openshift.sh deployment/helm/my-instance.env # Or deploy with PostgreSQL (one shared postgres per namespace, prod storage) ./deployment/helm/deploy-openshift.sh deployment/helm/my-instance.env --with-postgres ``` When using `--with-postgres`, set `POSTGRES_PASSWORD` in your env file. The script will create a `postgres-secret`, deploy the `postgres-pgvector` Helm chart once per namespace, and set `DYNACONF_STORAGE__MODE=prod` and the postgres URL for each cuga instance. The script will: 1. Create the namespace (idempotent) 2. If `--with-postgres`: create `postgres-secret` and deploy `postgres-pgvector` (shared per namespace) 3. Create an image pull secret for `us.icr.io` using your `ICR_API_KEY` 4. Create a Kubernetes secret with all sensitive env vars (including postgres URL when `--with-postgres`) 5. Deploy the Helm chart (`cuga-$INSTANCE_ID`) with the correct image and config 6. Create an OpenShift Route with edge TLS (HTTPS) and print the access URLs ### Status & inspection Use the status script to inspect pods, logs, and routes (based on your `openshift.env`): ```bash ./deployment/helm/status-openshift.sh [path/to/openshift.env] [command] ``` | Command | Description | |------------|--------------------------------------| | `pods` | List CUGA pods (default) | | `all` | List cuga + postgres + vault pods | | `describe` | Describe CUGA pods | | `logs` | Pod logs (add `-f` to follow) | | `route` | Show route URL and access links | | `events` | Recent namespace events | | `status` | Helm release status + pod summary | ```bash ./deployment/helm/status-openshift.sh ./deployment/helm/status-openshift.sh openshift.env logs -f ./deployment/helm/status-openshift.sh openshift.env describe ``` ### Access URLs After deploy, the agent is available at: ``` https://<route-host>/ # Agent chat UI https://<route-host>/chat # Chat (client-side route) https://<route-host>/manage # Management dashboard ``` HTTP is automatically redirected to HTTPS. ### Multi-instance example ```bash # Deploy two independent instances into the same namespace ./deployment/helm/deploy-openshift.sh deployment/helm/acme.env # release: cuga-acme ./deployment/helm/deploy-openshift.sh deployment/helm/ibm.env # release: cuga-ibm ``` Each instance has its own secrets, PVC, and Route — re-running a script is safe and will perform a rolling upgrade. ### PostgreSQL (shared per namespace) Use the `--with-postgres` flag to deploy one PostgreSQL (pgvector) instance per namespace, shared by all cuga instances in that namespace. Set `POSTGRES_PASSWORD` in your env file; the script creates `postgres-secret`, deploys `postgres-pgvector`, and sets `DYNACONF_STORAGE__MODE=prod` and the connection URL for each cuga instance. The URL is built as: `postgresql://<POSTGRES_USER>:<POSTGRES_PASSWORD>@postgres-pgvector.<NAMESPACE>.svc.cluster.local:5432/<POSTGRES_DB>` To use an external PostgreSQL instead, leave `POSTGRES_PASSWORD` empty, do not use `--with-postgres`, set `DYNACONF_STORAGE__MODE=prod` and `DYNACONF_STORAGE__POSTGRES_URL` in your env file, and add the URL to the secret (e.g. via the existing secret flow). ### Cleanup ```bash # Remove a specific instance (keeps namespace and postgres intact) ./deployment/helm/cleanup-openshift.sh deployment/helm/my-instance.env # Also remove the shared postgres (postgres-pgvector + postgres-secret) ./deployment/helm/cleanup-openshift.sh deployment/helm/my-instance.env --with-postgres # Remove instance and delete the entire namespace ./deployment/helm/cleanup-openshift.sh deployment/helm/my-instance.env --delete-namespace ``` ### Configuration reference (`openshift.example.env`) | Variable | Required | Description | |----------|----------|-------------| | `INSTANCE_ID` | yes | Unique name for this instance (e.g. `acme`). Names the Helm release `cuga-$INSTANCE_ID` | | `NAMESPACE` | yes | Kubernetes namespace (default: `cuga`) | | `ICR_API_KEY` | yes | IBM Container Registry API key for image pull secret | | `IMAGE_REPOSITORY` | yes | Image repo (default: `us.icr.io/nocodeui-automation/cuga`) | | `IMAGE_TAG` | yes | Image tag (default: `latest`) | | `ROUTE_HOSTNAME` | no | Custom hostname — leave empty for OpenShift auto-assign | | `GROQ_API_KEY` | yes | Groq API key | | `MODEL_NAME` | yes | LLM model name | | `AGENT_SETTING_CONFIG` | yes | Settings TOML file (e.g. `settings.groq.toml`) | | `DYNACONF_AUTH__ENABLED` | no | Enable OIDC auth (default: `true`) | | `DYNACONF_AUTH__REQUIRE_HTTPS` | no | Enforce HTTPS on cookies and routes (default: `false`) | | `DYNACONF_AUTH__AUTHORIZATION_ENABLED` | no | Enable role-based authorization (default: `false`) | | `DYNACONF_AUTH__ROLE_TOKEN_SOURCE` | no | Token used for role checks: `auto` (default), `id_token`, `access_token`, `iam_proxy` | | `OIDC_CLIENT_ID` | no | OIDC client ID | | `OIDC_CLIENT_SECRET` | no | OIDC client secret | | `OIDC_DISCOVERY_URL` | no | OIDC discovery URL | | `OIDC_REDIRECT_URI` | no | OIDC redirect URI (e.g. `https://<route-host>/manage`) | | `DYNACONF_AUTH__IAM_PROXY_URL` | no | XPM IAM proxy base URL for service-scoped token exchange (e.g. `https://xpm.apps.example.com/api/v1/iam-proxy`) | | `DYNACONF_AUTH__IAM_PROXY_SKIP_VERIFY` | no | Skip TLS verification for IAM proxy (dev/fyre only, default: `false`) | | `DYNACONF_STORAGE__MODE` | no | Storage mode: `local` (default) or `prod`. Set to `prod` automatically when using `--with-postgres` | | `POSTGRES_PASSWORD` | when `--with-postgres` | Password for the PostgreSQL DB user. Required when using `--with-postgres` | | `POSTGRES_USER` | no | PostgreSQL username (default: `cuga`) | | `POSTGRES_DB` | no | PostgreSQL database name (default: `cuga`) | | `DYNACONF_STORAGE__POSTGRES_URL` | no | PostgreSQL URL. Auto-built when using `--with-postgres`; set only for an external postgres | ================================================ FILE: deployment/certs/README.md ================================================ # Local TLS certificates for HTTPS When using OIDC (e.g. IBM Verify) with redirect URIs like `https://localhost:7860/manage`, the server must run over HTTPS. Generate a self-signed certificate (one-time): ```bash openssl req -x509 -newkey rsa:4096 -keyout localhost.key -out localhost.crt \ -days 365 -nodes -subj "/CN=localhost" ``` Then set in `.env`: - `SSL_KEYFILE="deployment/certs/localhost.key"` - `SSL_CERTFILE="deployment/certs/localhost.crt"` Start the demo server with `cuga start demo`; it will use TLS when these env vars are set. ================================================ FILE: deployment/deploy-local-postgres.sh ================================================ #!/usr/bin/env bash set -e SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" PROJECT_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)" RELEASE_NAME="postgres-pgvector" SECRET_NAME="postgres-pgvector-secrets" if [[ -f "$SCRIPT_DIR/.env" ]]; then ENV_FILE="$SCRIPT_DIR/.env" else ENV_FILE="${PROJECT_ROOT}/.env" fi cd "$PROJECT_ROOT" echo "==> Cleaning up..." helm uninstall "$RELEASE_NAME" 2>/dev/null || true kubectl delete secret "$SECRET_NAME" 2>/dev/null || true kubectl delete pvc "$RELEASE_NAME" 2>/dev/null || true echo "==> Loading .env from $ENV_FILE..." if [[ ! -f "$ENV_FILE" ]]; then echo "Error: .env not found. Create deployment/.env or .env with POSTGRES_PASSWORD" echo " cp deployment/.env.example deployment/.env" exit 1 fi set -a source "$ENV_FILE" set +a PASSWORD="${POSTGRES_PASSWORD:-}" if [[ -z "$PASSWORD" ]]; then echo "Error: Need POSTGRES_PASSWORD in .env" exit 1 fi echo "==> Creating secret..." kubectl create secret generic "$SECRET_NAME" --from-literal=password="$PASSWORD" echo "==> Deploying postgres-pgvector..." helm install "$RELEASE_NAME" "$SCRIPT_DIR/helm/postgres-pgvector" \ --set image.pullPolicy=IfNotPresent \ --set auth.existingSecret="$SECRET_NAME" \ --set persistence.enabled=true echo "" echo "==> Done. Port-forward: kubectl port-forward svc/$RELEASE_NAME 5432:5432" echo " postgres_url: postgresql://cuga:\$POSTGRES_PASSWORD@localhost:5432/cuga" ================================================ FILE: deployment/deploy-local.sh ================================================ #!/usr/bin/env bash set -e SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" PROJECT_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)" AGENT_CONFIG="" while [[ $# -gt 0 ]]; do case $1 in -c|--agent-config) AGENT_CONFIG="$2" shift 2 ;; -h|--help) echo "Usage: $0 [-c|--agent-config CONFIG]" echo " -c, --agent-config Override AGENT_SETTING_CONFIG (e.g. settings.groq.toml, settings.openai.toml)" exit 0 ;; *) echo "Unknown option: $1" exit 1 ;; esac done if [[ -f "$SCRIPT_DIR/.env" ]]; then ENV_FILE="$SCRIPT_DIR/.env" else ENV_FILE="${PROJECT_ROOT}/.env" fi SECRET_NAME="cuga-secrets" RELEASE_NAME="cuga" cd "$PROJECT_ROOT" echo "==> Cleaning up..." helm uninstall "$RELEASE_NAME" 2>/dev/null || true kubectl delete secret "$SECRET_NAME" 2>/dev/null || true kubectl delete pvc "${RELEASE_NAME}-dbs" 2>/dev/null || true echo "==> Loading .env from $ENV_FILE..." if [[ ! -f "$ENV_FILE" ]]; then echo "Error: .env not found. Create deployment/.env or .env with GROQ_API_KEY or OPENAI_API_KEY" echo " cp .env.example .env # or cp deployment/.env.example deployment/.env" exit 1 fi set -a source "$ENV_FILE" set +a GROQ_KEY="${GROQ_API_KEY:-}" OPENAI_KEY="${OPENAI_API_KEY:-}" if [[ -z "$GROQ_KEY" && -z "$OPENAI_KEY" ]]; then echo "Error: Need GROQ_API_KEY (default) or OPENAI_API_KEY in .env" exit 1 fi [[ -n "$GROQ_KEY" ]] && DEFAULT_AGENT_CONFIG="settings.groq.toml" || DEFAULT_AGENT_CONFIG="settings.openai.toml" echo "==> Building image..." docker build -t cuga-agent:latest . if command -v kind &>/dev/null && kubectl config current-context 2>/dev/null | grep -q kind; then echo "==> Loading image into kind..." kind load docker-image cuga-agent:latest fi echo "==> Creating secret..." SECRET_ARGS=() [[ -n "$GROQ_KEY" ]] && SECRET_ARGS+=(--from-literal=GROQ_API_KEY="$GROQ_KEY") [[ -n "$OPENAI_KEY" ]] && SECRET_ARGS+=(--from-literal=OPENAI_API_KEY="$OPENAI_KEY") [[ -n "$OPENAI_BASE_URL" ]] && SECRET_ARGS+=(--from-literal=OPENAI_BASE_URL="$OPENAI_BASE_URL") kubectl create secret generic "$SECRET_NAME" "${SECRET_ARGS[@]}" AGENT_SETTING="${AGENT_CONFIG:-${AGENT_SETTING_CONFIG:-$DEFAULT_AGENT_CONFIG}}" echo "==> Deploying (AGENT_SETTING_CONFIG=$AGENT_SETTING)..." helm install "$RELEASE_NAME" "$SCRIPT_DIR/helm/cuga" \ --set image.pullPolicy=Never \ --set existingSecret="$SECRET_NAME" \ --set env.MODEL_NAME="${MODEL_NAME:-openai/gpt-oss-120b}" \ --set env.AGENT_SETTING_CONFIG="$AGENT_SETTING" \ --set persistence.dbs.enabled=true echo "" echo "==> Done. Access with: kubectl port-forward svc/$RELEASE_NAME 7860:7860" echo " Then open http://localhost:7860" ================================================ FILE: deployment/docker-compose/openlit/docker-compose.yml ================================================ # Local observability stack for testing OpenLit integration with Cuga. # # Services: # otel-collector - Receives OTLP from OpenLit, forwards traces to Tempo and metrics to Prometheus # tempo - Distributed tracing backend (stores and queries traces) # prometheus - Metrics backend (scrapes OTel Collector's Prometheus exporter) # grafana - Visualization (pre-configured with Tempo and Prometheus datasources) # # Usage: # 1. Start the stack: # docker compose up -d # # 2. Enable OpenLit in settings.toml: # [observability] # openlit = true # # 3. Set the OTLP endpoint in your .env: # OTEL_EXPORTER_OTLP_ENDPOINT=http://localhost:4318 # # 4. Run the agent: # cuga start demo_crm # # 5. Open Grafana at http://localhost:3000 # - Traces: Explore → Tempo datasource # - Metrics: Explore → Prometheus datasource services: otel-collector: image: otel/opentelemetry-collector-contrib container_name: otel-collector command: ["--config=/etc/otel-collector-config.yaml"] volumes: - ./otel-collector-config.yaml:/etc/otel-collector-config.yaml ports: - "4318:4318" # OTLP HTTP receiver (OpenLit sends here) - "8889:8889" # Prometheus exporter (Prometheus scrapes here) tempo: image: grafana/tempo:2.4.1 # pinned: "latest" has breaking config changes between major versions container_name: tempo command: ["-config.file=/etc/tempo.yaml"] volumes: - ./tempo.yaml:/etc/tempo.yaml ports: - "3200:3200" # Tempo HTTP API (Grafana queries here) prometheus: image: prom/prometheus:latest container_name: prometheus command: ["--config.file=/etc/prometheus.yml"] volumes: - ./prometheus.yml:/etc/prometheus.yml ports: - "9090:9090" # Prometheus UI and API grafana: image: grafana/grafana:latest container_name: grafana volumes: - ./grafana-datasources.yaml:/etc/grafana/provisioning/datasources/datasources.yaml environment: - GF_AUTH_ANONYMOUS_ENABLED=true - GF_AUTH_ANONYMOUS_ORG_ROLE=Admin ports: - "3000:3000" # Grafana UI depends_on: - prometheus - tempo ================================================ FILE: deployment/docker-compose/openlit/grafana-datasources.yaml ================================================ # Grafana datasource provisioning for Cuga + OpenLit local testing stack. # # Pre-configures Grafana with: # - Tempo datasource for trace exploration (LLM call traces from OpenLit) # - Prometheus datasource for metrics (token usage, latency, request counts) # # After starting the stack, open Grafana at http://localhost:3000 # Navigate to Explore → select Tempo or Prometheus to query data. apiVersion: 1 datasources: - name: Tempo type: tempo access: proxy url: http://tempo:3200 isDefault: false - name: Prometheus type: prometheus access: proxy url: http://prometheus:9090 isDefault: true ================================================ FILE: deployment/docker-compose/openlit/otel-collector-config.yaml ================================================ # OpenTelemetry Collector configuration for Cuga + OpenLit local testing stack. # # Data flow: # OpenLit (Cuga) --OTLP HTTP--> otel-collector:4318 # --> traces --> Tempo:4317 (gRPC) # --> metrics --> Prometheus exporter :8889 (scraped by Prometheus) receivers: otlp: protocols: http: endpoint: 0.0.0.0:4318 processors: batch: exporters: otlp/tempo: endpoint: tempo:4317 tls: insecure: true prometheus: endpoint: "0.0.0.0:8889" service: pipelines: traces: receivers: [otlp] processors: [batch] exporters: [otlp/tempo] metrics: receivers: [otlp] processors: [batch] exporters: [prometheus] # Made with Bob ================================================ FILE: deployment/docker-compose/openlit/prometheus.yml ================================================ # Prometheus configuration for Cuga + OpenLit local testing stack. # # Scrapes LLM metrics from the OTel Collector's Prometheus exporter on port 8889. # Metrics include token usage, latency, request counts per model/provider. global: scrape_interval: 15s scrape_configs: - job_name: 'otel-collector' static_configs: - targets: ['otel-collector:8889'] ================================================ FILE: deployment/docker-compose/openlit/tempo.yaml ================================================ # Grafana Tempo configuration for Cuga + OpenLit local testing stack. # # Tempo receives traces from the OTel Collector via gRPC (OTLP) on port 4317 # and exposes its HTTP API on port 3200 (queried by Grafana). # # The ingester.lifecycler block is required for single-binary (monolithic) mode. # Without it, Tempo's internal ring stays empty and queries fail with: # "error finding partition ring replicas: empty ring" server: http_listen_port: 3200 # Register the ingester in the in-memory ring so the querier can locate it. ingester: lifecycler: address: 127.0.0.1 ring: kvstore: store: inmemory replication_factor: 1 final_sleep: 0s trace_idle_period: 10s max_block_bytes: 1_000_000 max_block_duration: 5m complete_block_timeout: 2m compactor: compaction: compaction_window: 1h max_block_bytes: 100_000_000 block_retention: 1h compacted_block_retention: 10m distributor: receivers: otlp: protocols: grpc: endpoint: 0.0.0.0:4317 storage: trace: backend: local local: path: /tmp/tempo/blocks wal: path: /tmp/tempo/wal # Made with Bob ================================================ FILE: deployment/helm/cleanup-openshift.sh ================================================ #!/usr/bin/env bash set -euo pipefail # --------------------------------------------------------------------------- # CUGA OpenShift Cleanup Script # # Removes all resources deployed by deploy-openshift.sh for a given instance. # Does NOT touch other instances or the namespace itself (unless --delete-namespace). # Use --with-postgres to also remove the shared postgres (postgres-pgvector + postgres-secret). # # Usage: # ./cleanup-openshift.sh [path/to/openshift.env] [--with-postgres] [--delete-namespace] # --------------------------------------------------------------------------- SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" WITH_POSTGRES=false DELETE_NAMESPACE=false ENV_FILE="" for arg in "$@"; do if [[ "$arg" == "--with-postgres" ]]; then WITH_POSTGRES=true elif [[ "$arg" == "--delete-namespace" ]]; then DELETE_NAMESPACE=true else [[ -z "$ENV_FILE" ]] && ENV_FILE="$arg" fi done ENV_FILE="${ENV_FILE:-${SCRIPT_DIR}/openshift.env}" # --------------------------------------------------------------------------- # Load environment # --------------------------------------------------------------------------- if [[ ! -f "$ENV_FILE" ]]; then echo "ERROR: env file not found: $ENV_FILE" echo "Usage: $0 [path/to/openshift.env] [--with-postgres] [--delete-namespace]" exit 1 fi # shellcheck disable=SC1090 set -a source "$ENV_FILE" set +a if [[ -z "${INSTANCE_ID:-}" ]]; then echo "ERROR: INSTANCE_ID is not set in $ENV_FILE" exit 1 fi NAMESPACE="${NAMESPACE:-cuga}" RELEASE_NAME="cuga-${INSTANCE_ID}" KUBECTL_TIMEOUT="${KUBECTL_REQUEST_TIMEOUT:-120}" HELM_TIMEOUT="${HELM_TIMEOUT:-10m}" PULL_SECRET_NAME="${INSTANCE_ID}-icr-pull-secret" ENV_SECRET_NAME="${INSTANCE_ID}-env-secret" echo "" echo "========================================" echo " CUGA OpenShift Cleanup" echo " Instance : ${INSTANCE_ID}" echo " Release : ${RELEASE_NAME}" echo " Namespace : ${NAMESPACE}" if [[ "$WITH_POSTGRES" == true ]]; then echo " Postgres : will be removed (postgres-pgvector + postgres-secret)" fi if [[ "$DELETE_NAMESPACE" == true ]]; then echo " WARNING : Namespace will be DELETED" fi echo "========================================" echo "" read -r -p "Are you sure you want to delete all resources for instance '${INSTANCE_ID}'? [y/N] " confirm [[ "$confirm" =~ ^[Yy]$ ]] || { echo "Aborted."; exit 0; } echo "" # --------------------------------------------------------------------------- # 1. Uninstall Helm release (removes deployment, service, route, pvc) # --------------------------------------------------------------------------- echo "[1/4] Uninstalling Helm release: ${RELEASE_NAME}" if helm status "${RELEASE_NAME}" --namespace "${NAMESPACE}" &>/dev/null; then helm uninstall "${RELEASE_NAME}" --namespace "${NAMESPACE}" --timeout "${HELM_TIMEOUT}" echo " Release ${RELEASE_NAME} uninstalled." else echo " Release ${RELEASE_NAME} not found, skipping." fi # --------------------------------------------------------------------------- # 2. Delete secrets and NetworkPolicies # --------------------------------------------------------------------------- echo "[2/4] Deleting secrets and policies for instance: ${INSTANCE_ID}" for secret in "${PULL_SECRET_NAME}" "${ENV_SECRET_NAME}"; do if kubectl get secret "${secret}" --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" &>/dev/null; then kubectl delete secret "${secret}" --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" echo " Deleted secret: ${secret}" else echo " Secret ${secret} not found, skipping." fi done if kubectl get networkpolicy "${INSTANCE_ID}-airgap-egress" --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" &>/dev/null; then kubectl delete networkpolicy "${INSTANCE_ID}-airgap-egress" --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" echo " Deleted NetworkPolicy: ${INSTANCE_ID}-airgap-egress" fi # --------------------------------------------------------------------------- # 3. Optionally remove postgres (shared per namespace) # --------------------------------------------------------------------------- if [[ "$WITH_POSTGRES" == true ]]; then echo "[3/4] Removing postgres (postgres-pgvector + postgres-secret)" if helm status postgres-pgvector --namespace "${NAMESPACE}" &>/dev/null; then helm uninstall postgres-pgvector --namespace "${NAMESPACE}" --timeout "${HELM_TIMEOUT}" echo " Release postgres-pgvector uninstalled." else echo " Release postgres-pgvector not found, skipping." fi if kubectl get secret postgres-secret --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" &>/dev/null; then kubectl delete secret postgres-secret --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" echo " Deleted secret: postgres-secret" else echo " Secret postgres-secret not found, skipping." fi else echo "[3/4] Postgres left intact (pass --with-postgres to remove it)." fi # --------------------------------------------------------------------------- # 4. Optionally delete namespace # --------------------------------------------------------------------------- if [[ "$DELETE_NAMESPACE" == true ]]; then echo "[4/4] Deleting namespace: ${NAMESPACE}" read -r -p "This will delete the ENTIRE namespace '${NAMESPACE}' and ALL resources inside it. Confirm? [y/N] " confirm2 if [[ "$confirm2" =~ ^[Yy]$ ]]; then kubectl delete namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" echo " Namespace ${NAMESPACE} deleted." else echo " Skipped namespace deletion." fi else echo "[4/4] Namespace '${NAMESPACE}' left intact (pass --delete-namespace to remove it)." fi echo "" echo "========================================" echo " Cleanup complete for instance: ${INSTANCE_ID}" echo "========================================" echo "" ================================================ FILE: deployment/helm/cuga/Chart.yaml ================================================ apiVersion: v2 name: cuga description: CUGA agent - generalist agent for enterprise task execution type: application version: 0.1.0 appVersion: "0.2.9" ================================================ FILE: deployment/helm/cuga/templates/NOTES.txt ================================================ CUGA agent has been deployed. Access via port-forward: kubectl port-forward -n {{ .Release.Namespace }} svc/{{ include "cuga.fullname" . }} 7860:7860 Then open http://localhost:7860 ================================================ FILE: deployment/helm/cuga/templates/_helpers.tpl ================================================ {{/* Expand the name of the chart. */}} {{- define "cuga.name" -}} {{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }} {{- end }} {{/* Create a default fully qualified app name. */}} {{- define "cuga.fullname" -}} {{- if .Values.fullnameOverride }} {{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }} {{- else }} {{- $name := default .Chart.Name .Values.nameOverride }} {{- if contains $name .Release.Name }} {{- .Release.Name | trunc 63 | trimSuffix "-" }} {{- else }} {{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }} {{- end }} {{- end }} {{- end }} {{/* Common labels */}} {{- define "cuga.labels" -}} helm.sh/chart: {{ .Chart.Name }}-{{ .Chart.Version }} app.kubernetes.io/name: {{ include "cuga.name" . }} app.kubernetes.io/instance: {{ .Release.Name }} {{- end }} {{/* Selector labels */}} {{- define "cuga.selectorLabels" -}} app.kubernetes.io/name: {{ include "cuga.name" . }} app.kubernetes.io/instance: {{ .Release.Name }} {{- end }} ================================================ FILE: deployment/helm/cuga/templates/deployment.yaml ================================================ apiVersion: apps/v1 kind: Deployment metadata: name: {{ include "cuga.fullname" . }} labels: {{- include "cuga.labels" . | nindent 4 }} spec: replicas: {{ .Values.replicaCount }} selector: matchLabels: {{- include "cuga.selectorLabels" . | nindent 6 }} template: metadata: labels: {{- include "cuga.selectorLabels" . | nindent 8 }} spec: {{- with .Values.imagePullSecrets }} imagePullSecrets: {{- toYaml . | nindent 8 }} {{- end }} containers: - name: {{ .Chart.Name }} image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}" imagePullPolicy: {{ .Values.image.pullPolicy }} ports: - name: http containerPort: 7860 protocol: TCP env: {{- if .Values.persistence.dbs.enabled }} - name: CUGA_DBS_DIR value: "/data/dbs" {{- end }} {{- $secret := .Values.existingSecret }} {{- $sensitiveKeys := list "GROQ_API_KEY" "OIDC_CLIENT_SECRET" "OIDC_CLIENT_ID" "OIDC_DISCOVERY_URL" "OIDC_REDIRECT_URI" "DYNACONF_STORAGE__POSTGRES_URL" "VAULT_TOKEN" }} {{- range $key, $value := .Values.env }} - name: {{ $key }} {{- if and $secret (has $key $sensitiveKeys) }} valueFrom: secretKeyRef: name: {{ $secret }} key: {{ $key }} optional: true {{- else }} value: {{ $value | quote }} {{- end }} {{- end }} livenessProbe: httpGet: path: / port: http initialDelaySeconds: 120 periodSeconds: 15 failureThreshold: 5 timeoutSeconds: 10 readinessProbe: httpGet: path: / port: http initialDelaySeconds: 90 periodSeconds: 10 failureThreshold: 10 timeoutSeconds: 10 startupProbe: httpGet: path: / port: http initialDelaySeconds: 60 periodSeconds: 10 failureThreshold: 18 timeoutSeconds: 10 {{- with .Values.resources }} resources: {{- toYaml . | nindent 12 }} {{- end }} {{- if .Values.persistence.dbs.enabled }} volumeMounts: - name: dbs mountPath: /data/dbs {{- end }} {{- if .Values.persistence.dbs.enabled }} volumes: - name: dbs persistentVolumeClaim: claimName: {{ include "cuga.fullname" . }}-dbs {{- end }} ================================================ FILE: deployment/helm/cuga/templates/pvc.yaml ================================================ {{- if .Values.persistence.dbs.enabled }} apiVersion: v1 kind: PersistentVolumeClaim metadata: name: {{ include "cuga.fullname" . }}-dbs labels: {{- include "cuga.labels" . | nindent 4 }} spec: accessModes: - ReadWriteOnce resources: requests: storage: {{ .Values.persistence.dbs.size | default "1Gi" }} {{- end }} ================================================ FILE: deployment/helm/cuga/templates/route.yaml ================================================ {{- if .Values.route.enabled }} apiVersion: route.openshift.io/v1 kind: Route metadata: name: {{ include "cuga.fullname" . }} labels: {{- include "cuga.labels" . | nindent 4 }} annotations: # Serves /, /chat, and /manage — all client-side routes handled by the app haproxy.router.openshift.io/timeout: 120s spec: {{- if .Values.route.hostname }} host: {{ .Values.route.hostname }} {{- end }} to: kind: Service name: {{ include "cuga.fullname" . }} weight: 100 port: targetPort: http tls: termination: edge insecureEdgeTerminationPolicy: Redirect wildcardPolicy: None {{- end }} ================================================ FILE: deployment/helm/cuga/templates/service.yaml ================================================ apiVersion: v1 kind: Service metadata: name: {{ include "cuga.fullname" . }} labels: {{- include "cuga.labels" . | nindent 4 }} spec: type: {{ .Values.service.type }} ports: - port: {{ .Values.service.port }} targetPort: http protocol: TCP name: http selector: {{- include "cuga.selectorLabels" . | nindent 4 }} ================================================ FILE: deployment/helm/cuga/values.yaml ================================================ replicaCount: 1 image: repository: ghcr.io/cuga-project/cuga tag: latest pullPolicy: Always imagePullSecrets: [] service: type: ClusterIP port: 7860 route: enabled: true hostname: "" # TLS is edge-terminated at the OpenShift router # insecureEdgeTerminationPolicy: Redirect (HTTP -> HTTPS) env: UV_CACHE_DIR: "/tmp/uv-cache" GROQ_API_KEY: "" MODEL_NAME: "openai/gpt-oss-120b" AGENT_SETTING_CONFIG: "settings.groq.toml" DYNACONF_SERVICE__INSTANCE_ID: "" DYNACONF_SERVICE__TENANT_ID: "" DYNACONF_AUTH__ENABLED: "true" DYNACONF_AUTH__REQUIRE_HTTPS: "true" DYNACONF_AUTH__AUTHORIZATION_ENABLED: "false" DYNACONF_AUTH__ROLE_TOKEN_SOURCE: "auto" DYNACONF_UI__HIDE_CUGA_LOGO: "false" DYNACONF_UI__BRAND_NAME: "" CUGA_DEMO_MODE: "default" OIDC_CLIENT_ID: "" OIDC_CLIENT_SECRET: "" OIDC_DISCOVERY_URL: "" OIDC_REDIRECT_URI: "" DYNACONF_AUTH__OIDC_SKIP_VERIFY: "false" DYNACONF_AUTH__OIDC_CA_BUNDLE: "" DYNACONF_AUTH__IAM_PROXY_URL: "" DYNACONF_AUTH__IAM_PROXY_SKIP_VERIFY: "false" DYNACONF_STORAGE__MODE: "local" DYNACONF_STORAGE__POSTGRES_URL: "" DYNACONF_SECRETS__FORCE_ENV: "false" DYNACONF_SECRETS__VAULT_SKIP_VERIFY: "false" DYNACONF_OBSERVABILITY__OPENLIT: "false" OTEL_EXPORTER_OTLP_ENDPOINT: "" # Name of an existing Secret containing sensitive env vars. # When set, sensitive keys are sourced via secretKeyRef instead of plain value. existingSecret: "" resources: requests: memory: 2Gi cpu: 200m limits: memory: 4Gi cpu: "2" persistence: dbs: enabled: true size: 1Gi ================================================ FILE: deployment/helm/deploy-openshift.sh ================================================ #!/usr/bin/env bash set -euo pipefail # --------------------------------------------------------------------------- # CUGA OpenShift Deployment Script # # Usage: # ./deploy-openshift.sh [path/to/openshift.env] [--with-postgres] [--with-vault] # # Prerequisites: # - Logged in to OpenShift cluster via `oc login` or `kubectl` with valid kubeconfig # - helm 3 installed # - openshift.env filled in (copy from openshift.env template) # --------------------------------------------------------------------------- SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" WITH_POSTGRES=false WITH_VAULT=false AIRGAPPED=false ENV_FILE="" for arg in "$@"; do if [[ "$arg" == "--with-postgres" ]]; then WITH_POSTGRES=true elif [[ "$arg" == "--with-vault" ]]; then WITH_VAULT=true elif [[ "$arg" == "--airgapped" ]]; then AIRGAPPED=true else [[ -z "$ENV_FILE" ]] && ENV_FILE="$arg" fi done ENV_FILE="${ENV_FILE:-${SCRIPT_DIR}/openshift.env}" # --------------------------------------------------------------------------- # Load environment # --------------------------------------------------------------------------- if [[ ! -f "$ENV_FILE" ]]; then echo "ERROR: env file not found: $ENV_FILE" echo "Usage: $0 [path/to/openshift.env]" exit 1 fi # shellcheck disable=SC1090 set -a source "$ENV_FILE" set +a # --------------------------------------------------------------------------- # Validate required variables # --------------------------------------------------------------------------- REQUIRED_VARS=( INSTANCE_ID NAMESPACE ICR_API_KEY IMAGE_REPOSITORY IMAGE_TAG GROQ_API_KEY MODEL_NAME AGENT_SETTING_CONFIG ) if [[ "$WITH_POSTGRES" == true ]]; then REQUIRED_VARS+=(POSTGRES_PASSWORD) fi MISSING=() for var in "${REQUIRED_VARS[@]}"; do if [[ -z "${!var:-}" ]]; then MISSING+=("$var") fi done if [[ ${#MISSING[@]} -gt 0 ]]; then echo "ERROR: The following required variables are not set in $ENV_FILE:" for v in "${MISSING[@]}"; do echo " - $v" done exit 1 fi # Derived names — all scoped to INSTANCE_ID so multiple instances coexist RELEASE_NAME="cuga-${INSTANCE_ID}" PULL_SECRET_NAME="${INSTANCE_ID}-icr-pull-secret" ENV_SECRET_NAME="${INSTANCE_ID}-env-secret" CHART_PATH="${SCRIPT_DIR}/cuga" KUBECTL_TIMEOUT="${KUBECTL_REQUEST_TIMEOUT:-120}" HELM_TIMEOUT="${HELM_TIMEOUT:-10m}" TOTAL_STEPS=6 [[ "$WITH_POSTGRES" != true ]] && TOTAL_STEPS=5 [[ "$WITH_VAULT" == true ]] && TOTAL_STEPS=$((TOTAL_STEPS + 1)) echo "" echo "========================================" echo " CUGA OpenShift Deployment" echo " Instance : ${INSTANCE_ID}" echo " Release : ${RELEASE_NAME}" echo " Namespace : ${NAMESPACE}" echo " Hostname : ${ROUTE_HOSTNAME:-<auto-assigned by OpenShift>}" if [[ "$WITH_POSTGRES" == true ]]; then echo " Postgres : enabled (shared per namespace)" if [[ -n "${DOCKERHUB_USERNAME:-}" ]] && [[ -n "${DOCKERHUB_TOKEN:-${DOCKERHUB_PASSWORD:-}}" ]]; then echo " PG image : Docker Hub pull secret (authenticated)" elif [[ -n "${POSTGRES_IMAGE_PULL_SECRET:-}" ]]; then echo " PG image : imagePullSecret ${POSTGRES_IMAGE_PULL_SECRET}" fi fi if [[ "$WITH_VAULT" == true ]]; then echo " Vault : enabled" fi if [[ "$AIRGAPPED" == true ]]; then echo " Airgapped : enabled (NetworkPolicy blocking egress applied)" fi echo "========================================" echo "" # --------------------------------------------------------------------------- # 1. Create namespace (idempotent) # --------------------------------------------------------------------------- STEP=1 echo "[${STEP}/${TOTAL_STEPS}] Creating namespace: ${NAMESPACE}" kubectl create namespace "${NAMESPACE}" \ --dry-run=client -o yaml | kubectl apply -f - --request-timeout="${KUBECTL_TIMEOUT}" ((STEP++)) # --------------------------------------------------------------------------- # 2. Postgres secret + Helm (when --with-postgres) # --------------------------------------------------------------------------- if [[ "$WITH_POSTGRES" == true ]]; then echo "[${STEP}/${TOTAL_STEPS}] Creating postgres secret (postgres-secret)" kubectl create secret generic postgres-secret \ --from-literal=password="${POSTGRES_PASSWORD}" \ --namespace="${NAMESPACE}" \ --dry-run=client -o yaml | kubectl apply -f - --request-timeout="${KUBECTL_TIMEOUT}" ((STEP++)) POSTGRES_PGVECTOR_HELM_EXTRA=() if [[ -n "${DOCKERHUB_USERNAME:-}" ]] && [[ -n "${DOCKERHUB_TOKEN:-${DOCKERHUB_PASSWORD:-}}" ]]; then PG_DOCKERHUB_SECRET="${POSTGRES_IMAGE_PULL_SECRET:-postgres-pgvector-dockerhub-pull}" DH_PASS="${DOCKERHUB_TOKEN:-${DOCKERHUB_PASSWORD}}" echo " (Docker Hub pull secret for postgres image: ${PG_DOCKERHUB_SECRET})" kubectl create secret docker-registry "${PG_DOCKERHUB_SECRET}" \ --docker-server=https://index.docker.io/v1/ \ --docker-username="${DOCKERHUB_USERNAME}" \ --docker-password="${DH_PASS}" \ --namespace="${NAMESPACE}" \ --dry-run=client -o yaml | kubectl apply -f - --request-timeout="${KUBECTL_TIMEOUT}" POSTGRES_PGVECTOR_HELM_EXTRA+=(--set "imagePullSecrets[0].name=${PG_DOCKERHUB_SECRET}") elif [[ -n "${POSTGRES_IMAGE_PULL_SECRET:-}" ]]; then POSTGRES_PGVECTOR_HELM_EXTRA+=(--set "imagePullSecrets[0].name=${POSTGRES_IMAGE_PULL_SECRET}") fi echo "[${STEP}/${TOTAL_STEPS}] Deploying postgres (postgres-pgvector)" helm upgrade --install postgres-pgvector "${SCRIPT_DIR}/postgres-pgvector" \ --namespace "${NAMESPACE}" \ --timeout "${HELM_TIMEOUT}" \ --disable-openapi-validation \ --set "auth.database=${POSTGRES_DB:-cuga}" \ --set "auth.username=${POSTGRES_USER:-cuga}" \ --set "auth.existingSecret=postgres-secret" \ --set "auth.existingSecretKey=password" \ ${POSTGRES_PGVECTOR_HELM_EXTRA[@]+"${POSTGRES_PGVECTOR_HELM_EXTRA[@]}"} ((STEP++)) fi # --------------------------------------------------------------------------- # 3. Image pull secret for IBM Container Registry # --------------------------------------------------------------------------- echo "[${STEP}/${TOTAL_STEPS}] Creating image pull secret: ${PULL_SECRET_NAME}" kubectl create secret docker-registry "${PULL_SECRET_NAME}" \ --docker-server=us.icr.io \ --docker-username=iamapikey \ --docker-password="${ICR_API_KEY}" \ --namespace="${NAMESPACE}" \ --dry-run=client -o yaml | kubectl apply -f - --request-timeout="${KUBECTL_TIMEOUT}" ((STEP++)) # --------------------------------------------------------------------------- # 4. Environment secret (sensitive values only) # --------------------------------------------------------------------------- echo "[${STEP}/${TOTAL_STEPS}] Creating env secret: ${ENV_SECRET_NAME}" # Build --from-literal args for sensitive keys SECRET_ARGS=( "--from-literal=GROQ_API_KEY=${GROQ_API_KEY}" ) [[ -n "${OIDC_CLIENT_ID:-}" ]] && SECRET_ARGS+=("--from-literal=OIDC_CLIENT_ID=${OIDC_CLIENT_ID}") [[ -n "${OIDC_CLIENT_SECRET:-}" ]] && SECRET_ARGS+=("--from-literal=OIDC_CLIENT_SECRET=${OIDC_CLIENT_SECRET}") [[ -n "${OIDC_DISCOVERY_URL:-}" ]] && SECRET_ARGS+=("--from-literal=OIDC_DISCOVERY_URL=${OIDC_DISCOVERY_URL}") [[ -n "${OIDC_REDIRECT_URI:-}" ]] && SECRET_ARGS+=("--from-literal=OIDC_REDIRECT_URI=${OIDC_REDIRECT_URI}") [[ -n "${VAULT_TOKEN:-}" ]] && SECRET_ARGS+=("--from-literal=VAULT_TOKEN=${VAULT_TOKEN}") [[ -n "${CUGA_SECRET_KEY:-}" ]] && SECRET_ARGS+=("--from-literal=CUGA_SECRET_KEY=${CUGA_SECRET_KEY}") if [[ "$WITH_POSTGRES" == true ]]; then PG_URL="postgresql://${POSTGRES_USER:-cuga}:${POSTGRES_PASSWORD}@postgres-pgvector.${NAMESPACE}.svc.cluster.local:5432/${POSTGRES_DB:-cuga}" SECRET_ARGS+=("--from-literal=DYNACONF_STORAGE__POSTGRES_URL=${PG_URL}") else if [[ -n "${DYNACONF_STORAGE__POSTGRES_URL:-}" ]]; then SECRET_ARGS+=("--from-literal=DYNACONF_STORAGE__POSTGRES_URL=${DYNACONF_STORAGE__POSTGRES_URL}") elif [[ -n "${POSTGRES_PASSWORD:-}" ]]; then PG_URL="postgresql://${POSTGRES_USER:-cuga}:${POSTGRES_PASSWORD}@postgres-pgvector.${NAMESPACE}.svc.cluster.local:5432/${POSTGRES_DB:-cuga}" SECRET_ARGS+=("--from-literal=DYNACONF_STORAGE__POSTGRES_URL=${PG_URL}") else PG_PASS=$(kubectl get secret postgres-secret --namespace="${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" -o jsonpath='{.data.password}' 2>/dev/null | base64 -d 2>/dev/null || true) if [[ -n "${PG_PASS}" ]]; then PG_URL="postgresql://${POSTGRES_USER:-cuga}:${PG_PASS}@postgres-pgvector.${NAMESPACE}.svc.cluster.local:5432/${POSTGRES_DB:-cuga}" SECRET_ARGS+=("--from-literal=DYNACONF_STORAGE__POSTGRES_URL=${PG_URL}") fi fi fi kubectl create secret generic "${ENV_SECRET_NAME}" \ "${SECRET_ARGS[@]}" \ --namespace="${NAMESPACE}" \ --dry-run=client -o yaml | kubectl apply -f - --request-timeout="${KUBECTL_TIMEOUT}" ((STEP++)) # --------------------------------------------------------------------------- # Optional: Vault deployment # --------------------------------------------------------------------------- if [[ "$WITH_VAULT" == true ]]; then echo "[${STEP}/${TOTAL_STEPS}] Deploying HashiCorp Vault" VAULT_CHART_PATH="${SCRIPT_DIR}/vault" helm repo add hashicorp https://helm.releases.hashicorp.com 2>/dev/null || true helm repo update hashicorp 2>/dev/null || true helm dependency update "${VAULT_CHART_PATH}" 2>/dev/null || true helm upgrade --install vault "${VAULT_CHART_PATH}" \ --namespace "${NAMESPACE}" \ --timeout "${HELM_TIMEOUT}" \ --disable-openapi-validation \ -f "${VAULT_CHART_PATH}/values.openshift.yaml" \ ${VAULT_TOKEN:+--set "vault.server.extraEnvironmentVars.VAULT_DEV_ROOT_TOKEN_ID=${VAULT_TOKEN}"} ((STEP++)) echo "" echo " Vault deployed. Initialize it (first time only):" echo " kubectl exec -n ${NAMESPACE} -it vault-0 -- vault operator init" echo "" echo " Add to your env file:" echo " VAULT_TOKEN=<root-token>" echo " DYNACONF_SECRETS__MODE=vault" echo " DYNACONF_SECRETS__VAULT_ADDR=http://vault.${NAMESPACE}.svc.cluster.local:8200" echo "" fi # --------------------------------------------------------------------------- # 5. Helm deploy (cuga) # --------------------------------------------------------------------------- if [[ "$AIRGAPPED" == true ]]; then echo "[${STEP}/${TOTAL_STEPS}] Applying Airgap NetworkPolicy (deny egress)" # Policy logic: # 1. Deny all egress by default (achieved by policyTypes: [Egress] with no catch-all allow) # 2. Allow egress to local namespace (for postgres, internal services) # 3. Allow DNS (UDP/TCP 53) # 4. Allow Groq IPs if resolved cat <<EOF | kubectl apply -n "${NAMESPACE}" -f - apiVersion: networking.k8s.io/v1 kind: NetworkPolicy metadata: name: "${INSTANCE_ID}-airgap-egress" spec: podSelector: matchLabels: app.kubernetes.io/instance: "${RELEASE_NAME}" policyTypes: - Egress egress: - to: - namespaceSelector: matchLabels: kubernetes.io/metadata.name: "${NAMESPACE}" - ports: - port: 53 protocol: UDP - port: 53 protocol: TCP EOF fi echo "[${STEP}/${TOTAL_STEPS}] Deploying Helm release: ${RELEASE_NAME}" STORAGE_MODE="${DYNACONF_STORAGE__MODE:-local}" [[ "$WITH_POSTGRES" == true ]] && STORAGE_MODE=prod HELM_ARGS=( upgrade --install "${RELEASE_NAME}" "${CHART_PATH}" --namespace "${NAMESPACE}" --set "image.repository=${IMAGE_REPOSITORY}" --set "image.tag=${IMAGE_TAG}" --set "image.pullPolicy=Always" --set "imagePullSecrets[0].name=${PULL_SECRET_NAME}" --set "existingSecret=${ENV_SECRET_NAME}" --set "env.DYNACONF_SERVICE__INSTANCE_ID=${DYNACONF_SERVICE__INSTANCE_ID:-${INSTANCE_ID}}" --set "env.DYNACONF_SERVICE__TENANT_ID=${DYNACONF_SERVICE__TENANT_ID:-${NAMESPACE}}" --set "env.UV_CACHE_DIR=${UV_CACHE_DIR:-/tmp/uv-cache}" --set "env.MODEL_NAME=${MODEL_NAME}" --set "env.AGENT_SETTING_CONFIG=${AGENT_SETTING_CONFIG}" --set "env.DYNACONF_AUTH__ENABLED=${DYNACONF_AUTH__ENABLED:-true}" --set "env.DYNACONF_AUTH__REQUIRE_HTTPS=${DYNACONF_AUTH__REQUIRE_HTTPS:-false}" --set "env.DYNACONF_AUTH__AUTHORIZATION_ENABLED=${DYNACONF_AUTH__AUTHORIZATION_ENABLED:-false}" --set "env.DYNACONF_AUTH__OIDC_SKIP_VERIFY=${DYNACONF_AUTH__OIDC_SKIP_VERIFY:-false}" --set "env.DYNACONF_AUTH__OIDC_CA_BUNDLE=${DYNACONF_AUTH__OIDC_CA_BUNDLE:-}" --set "env.DYNACONF_AUTH__ROLE_TOKEN_SOURCE=${DYNACONF_AUTH__ROLE_TOKEN_SOURCE:-auto}" --set "env.DYNACONF_STORAGE__MODE=${STORAGE_MODE}" --set "env.DYNACONF_SECRETS__FORCE_ENV=${DYNACONF_SECRETS__FORCE_ENV:-false}" --set "env.DYNACONF_SECRETS__VAULT_SKIP_VERIFY=${DYNACONF_SECRETS__VAULT_SKIP_VERIFY:-false}" --set "env.DYNACONF_UI__HIDE_CUGA_LOGO=${DYNACONF_UI__HIDE_CUGA_LOGO:-false}" --set "env.DYNACONF_UI__BRAND_NAME=${DYNACONF_UI__BRAND_NAME:-}" --set "env.CUGA_DEMO_MODE=${CUGA_DEMO_MODE:-default}" --set "env.DYNACONF_OBSERVABILITY__OPENLIT=${DYNACONF_OBSERVABILITY__OPENLIT:-false}" --set "env.OTEL_EXPORTER_OTLP_ENDPOINT=${OTEL_EXPORTER_OTLP_ENDPOINT:-}" --set "route.enabled=true" ) if [[ "$WITH_VAULT" == true ]]; then VAULT_INTERNAL_ADDR="http://vault.${NAMESPACE}.svc.cluster.local:8200" HELM_ARGS+=( "--set" "env.DYNACONF_SECRETS__MODE=vault" "--set" "env.DYNACONF_SECRETS__VAULT_ADDR=${VAULT_ADDR:-${VAULT_INTERNAL_ADDR}}" "--set" "env.DYNACONF_SECRETS__VAULT_TOKEN_ENV=VAULT_TOKEN" ) fi if [[ -n "${DYNACONF_SECRETS__MODE:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__MODE=${DYNACONF_SECRETS__MODE}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_ADDR:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_ADDR=${DYNACONF_SECRETS__VAULT_ADDR}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_TOKEN_ENV:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_TOKEN_ENV=${DYNACONF_SECRETS__VAULT_TOKEN_ENV}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_MOUNT:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_MOUNT=${DYNACONF_SECRETS__VAULT_MOUNT}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_KV_VERSION:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_KV_VERSION=${DYNACONF_SECRETS__VAULT_KV_VERSION}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_AUTH_METHOD:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_AUTH_METHOD=${DYNACONF_SECRETS__VAULT_AUTH_METHOD}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_K8S_ROLE:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_K8S_ROLE=${DYNACONF_SECRETS__VAULT_K8S_ROLE}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_K8S_MOUNT_PATH:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_K8S_MOUNT_PATH=${DYNACONF_SECRETS__VAULT_K8S_MOUNT_PATH}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_K8S_JWT_PATH:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_K8S_JWT_PATH=${DYNACONF_SECRETS__VAULT_K8S_JWT_PATH}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_SECRET_PATH:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_SECRET_PATH=${DYNACONF_SECRETS__VAULT_SECRET_PATH}") fi if [[ -n "${DYNACONF_SECRETS__VAULT_CACERT:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_CACERT=${DYNACONF_SECRETS__VAULT_CACERT}") fi if [[ -n "${VAULT_CACERT:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_CACERT=${VAULT_CACERT}") fi if [[ -n "${VAULT_SKIP_VERIFY:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_SECRETS__VAULT_SKIP_VERIFY=${VAULT_SKIP_VERIFY}") fi if [[ -n "${VAULT_TOKEN:-}" ]]; then HELM_ARGS+=("--set" "env.VAULT_TOKEN=_") fi if [[ -n "${DYNACONF_AUTH__IAM_PROXY_URL:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_AUTH__IAM_PROXY_URL=${DYNACONF_AUTH__IAM_PROXY_URL}") fi if [[ -n "${DYNACONF_AUTH__IAM_PROXY_SKIP_VERIFY:-}" ]]; then HELM_ARGS+=("--set" "env.DYNACONF_AUTH__IAM_PROXY_SKIP_VERIFY=${DYNACONF_AUTH__IAM_PROXY_SKIP_VERIFY}") fi if [[ -n "${ROUTE_HOSTNAME:-}" ]]; then HELM_ARGS+=("--set" "route.hostname=${ROUTE_HOSTNAME}") fi HELM_ARGS+=("--timeout" "${HELM_TIMEOUT}") HELM_ARGS+=("--disable-openapi-validation") helm "${HELM_ARGS[@]}" # --------------------------------------------------------------------------- # 6. Print access URLs # --------------------------------------------------------------------------- echo "" echo "[${STEP}/${TOTAL_STEPS}] Deployment complete. Fetching route..." # Give the route a moment to be assigned a host if no hostname was specified sleep 2 ASSIGNED_HOST=$(kubectl get route "${RELEASE_NAME}" \ --namespace="${NAMESPACE}" \ --request-timeout="${KUBECTL_TIMEOUT}" \ -o jsonpath='{.spec.host}' 2>/dev/null || true) echo "" echo "========================================" echo " Access URLs (HTTPS)" if [[ -n "${ASSIGNED_HOST}" ]]; then echo " App : https://${ASSIGNED_HOST}/" echo " Chat : https://${ASSIGNED_HOST}/chat" echo " Manage : https://${ASSIGNED_HOST}/manage" else echo " Route not yet ready. Check with:" echo " kubectl get route ${RELEASE_NAME} -n ${NAMESPACE}" fi echo "========================================" echo "" ================================================ FILE: deployment/helm/openshift.example.env ================================================ # OpenShift deployment configuration # Copy this file to openshift.env (or any name), fill in values, and pass it to deploy-openshift.sh # DO NOT commit filled-in values to git # Unique identifier for this agent instance (e.g. acme, ibm, staging) # Used to name the Helm release (cuga-$INSTANCE_ID) and all associated secrets/routes INSTANCE_ID= # Kubernetes namespace to deploy into (default: cuga) NAMESPACE=cuga # Image pull secret (deploy-openshift.sh still targets us.icr.io; use dummy value if image is public ghcr.io only). ICR_API_KEY= # Container image to deploy IMAGE_REPOSITORY=ghcr.io/cuga-project/cuga IMAGE_TAG=latest # Route hostname for this instance (e.g. cuga-acme.apps.cluster.example.com) # Leave empty to let OpenShift auto-assign a hostname ROUTE_HOSTNAME= # --- Runtime --- UV_CACHE_DIR=/tmp/uv-cache # --- Service identity (used for DB scoping in multi-tenant deployments) --- # INSTANCE_ID defaults to INSTANCE_ID value above # TENANT_ID defaults to NAMESPACE value above DYNACONF_SERVICE__INSTANCE_ID= DYNACONF_SERVICE__TENANT_ID= # --- LLM / Agent config --- GROQ_API_KEY= MODEL_NAME= AGENT_SETTING_CONFIG= # --- OIDC / Auth --- DYNACONF_AUTH__REQUIRE_HTTPS=false DYNACONF_AUTH__ENABLED=true DYNACONF_AUTH__AUTHORIZATION_ENABLED=false OIDC_CLIENT_ID= OIDC_CLIENT_SECRET= OIDC_DISCOVERY_URL= OIDC_REDIRECT_URI= # Token used for role checks: auto | id_token | access_token | iam_proxy # DYNACONF_AUTH__ROLE_TOKEN_SOURCE=auto # Set to true for self-signed/internal CA clusters (fyre, dev). Use OIDC_CA_BUNDLE for prod. DYNACONF_AUTH__OIDC_SKIP_VERIFY=false # Path to CA bundle PEM file inside the pod (mount via ConfigMap/Secret) # DYNACONF_AUTH__OIDC_CA_BUNDLE=/etc/cuga/identity-ca.crt # IAM proxy URL for service-scoped token exchange (roles come from this token) # DYNACONF_AUTH__IAM_PROXY_URL=https://xpm.apps.example.com/api/v1/iam-proxy # DYNACONF_AUTH__IAM_PROXY_SKIP_VERIFY=false # --- UI --- DYNACONF_UI__HIDE_CUGA_LOGO=true DYNACONF_UI__BRAND_NAME= # --- Demo mode: default | crm | digital_sales | health --- CUGA_DEMO_MODE=default # --- Observability (OpenShift: point OTLP at the cluster OpenTelemetry collector) --- # DYNACONF_OBSERVABILITY__OPENLIT=true # OTEL_EXPORTER_OTLP_ENDPOINT=http://otel-collector.otel-collector.svc.cluster.local:4318 # --- Storage --- # "local" = SQLite (default). Use --with-postgres flag to deploy postgres and switch to "prod". DYNACONF_STORAGE__MODE=local # --- PostgreSQL (required only when using --with-postgres flag) --- POSTGRES_PASSWORD= POSTGRES_USER=cuga POSTGRES_DB=cuga # Leave DYNACONF_STORAGE__POSTGRES_URL empty — auto-built from the above when --with-postgres # Only set this if connecting to an EXTERNAL postgres (not the in-cluster one) DYNACONF_STORAGE__POSTGRES_URL= # Optional: avoid Docker Hub anonymous rate limits on pgvector/pgvector. # Set DOCKERHUB_USERNAME + DOCKERHUB_TOKEN (PAT) or DOCKERHUB_PASSWORD — deploy script creates a pull secret. # Or create a docker-registry secret yourself and set only POSTGRES_IMAGE_PULL_SECRET to its name. # DOCKERHUB_USERNAME= # DOCKERHUB_TOKEN= # DOCKERHUB_PASSWORD= # POSTGRES_IMAGE_PULL_SECRET=postgres-pgvector-dockerhub-pull # --- Vault (required only when using --with-vault flag) --- # Root or app token for HashiCorp Vault. Injected as VAULT_TOKEN env var in the CUGA pod. VAULT_TOKEN= # Override Vault address if deploying externally (auto-set to in-cluster addr when --with-vault) VAULT_ADDR= # Fernet encryption key for local DB secrets store (generate with: python -c "from cryptography.fernet import Fernet; print(Fernet.generate_key().decode())") CUGA_SECRET_KEY= # Secrets mode: local (default) | vault | aws DYNACONF_SECRETS__MODE=local # If true, resolve secrets from os.environ only (skip Vault UI overrides / DB) DYNACONF_SECRETS__FORCE_ENV=false # Dev only — disables TLS verification for Vault (also in chart values.yaml) DYNACONF_SECRETS__VAULT_SKIP_VERIFY=false # Vault client auth: token (default) uses VAULT_TOKEN; kubernetes exchanges the pod SA JWT (no VAULT_TOKEN) # DYNACONF_SECRETS__VAULT_AUTH_METHOD=kubernetes # DYNACONF_SECRETS__VAULT_K8S_ROLE= # DYNACONF_SECRETS__VAULT_K8S_MOUNT_PATH=kubernetes # Route / internal CA PEM file path inside the pod (mount a ConfigMap/Secret first) # VAULT_CACERT=/etc/cuga/vault-ca.pem # Alternative to DYNACONF_SECRETS__VAULT_SKIP_VERIFY (same effect in app) # VAULT_SKIP_VERIFY=false ================================================ FILE: deployment/helm/postgres-pgvector/Chart.yaml ================================================ apiVersion: v2 name: postgres-pgvector description: PostgreSQL with pgvector extension for Cuga agent production storage type: application version: 0.1.0 appVersion: "16" keywords: - postgresql - pgvector - cuga ================================================ FILE: deployment/helm/postgres-pgvector/README.md ================================================ # postgres-pgvector PostgreSQL with pgvector extension for Cuga agent production storage (policies, embeddings). ## Install ```bash helm install postgres-pgvector ./deployment/helm/postgres-pgvector \ --set auth.password=YOUR_SECURE_PASSWORD ``` Or with existing secret: ```bash kubectl create secret generic pg-secret --from-literal=password=YOUR_SECURE_PASSWORD helm install postgres-pgvector ./deployment/helm/postgres-pgvector \ --set auth.existingSecret=pg-secret ``` ## Cuga integration Set `storage.mode=prod` and `storage.postgres_url` in Cuga: ``` postgresql://cuga:<password>@postgres-pgvector.<namespace>.svc.cluster.local:5432/cuga ``` Or via env: `STORAGE_POSTGRES_URL=postgresql://...` ## Values | Key | Default | Description | |-----|---------|-------------| | auth.database | cuga | Database name | | auth.username | cuga | PostgreSQL user | | auth.password | "" | Password (required unless existingSecret) | | auth.existingSecret | "" | Existing secret name | | auth.existingSecretKey | password | Key in existing secret | | persistence.enabled | true | Use PVC for data | | persistence.size | 10Gi | PVC size | | image.repository | pgvector/pgvector | Image | | image.tag | pg16 | Image tag | ================================================ FILE: deployment/helm/postgres-pgvector/templates/NOTES.txt ================================================ PostgreSQL with pgvector has been deployed. 1. Get the application URL: export POSTGRES_HOST={{ include "postgres-pgvector.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local export POSTGRES_PORT={{ .Values.service.port }} 2. Connection string for Cuga (storage.mode=prod): postgresql://{{ .Values.auth.username }}:<password>@{{ include "postgres-pgvector.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local:{{ .Values.service.port }}/{{ .Values.auth.database }} Set storage.postgres_url in Cuga settings or env STORAGE_POSTGRES_URL. 3. Verify pgvector extension: kubectl exec -it {{ include "postgres-pgvector.fullname" . }}-<pod-id> -- psql -U {{ .Values.auth.username }} -d {{ .Values.auth.database }} -c '\dx' ================================================ FILE: deployment/helm/postgres-pgvector/templates/_helpers.tpl ================================================ {{/* Expand the name of the chart. */}} {{- define "postgres-pgvector.name" -}} {{- default .Chart.Name .Values.nameOverride | trunc 63 | trimSuffix "-" }} {{- end }} {{/* Create a default fully qualified app name. */}} {{- define "postgres-pgvector.fullname" -}} {{- if .Values.fullnameOverride }} {{- .Values.fullnameOverride | trunc 63 | trimSuffix "-" }} {{- else }} {{- $name := default .Chart.Name .Values.nameOverride }} {{- if contains $name .Release.Name }} {{- .Release.Name | trunc 63 | trimSuffix "-" }} {{- else }} {{- printf "%s-%s" .Release.Name $name | trunc 63 | trimSuffix "-" }} {{- end }} {{- end }} {{- end }} {{/* Common labels */}} {{- define "postgres-pgvector.labels" -}} helm.sh/chart: {{ .Chart.Name }}-{{ .Chart.Version }} app.kubernetes.io/name: {{ include "postgres-pgvector.name" . }} app.kubernetes.io/instance: {{ .Release.Name }} {{- end }} {{/* Selector labels */}} {{- define "postgres-pgvector.selectorLabels" -}} app.kubernetes.io/name: {{ include "postgres-pgvector.name" . }} app.kubernetes.io/instance: {{ .Release.Name }} {{- end }} ================================================ FILE: deployment/helm/postgres-pgvector/templates/configmap.yaml ================================================ apiVersion: v1 kind: ConfigMap metadata: name: {{ include "postgres-pgvector.fullname" . }}-init labels: {{- include "postgres-pgvector.labels" . | nindent 4 }} data: 01-init-pgvector.sql: | CREATE EXTENSION IF NOT EXISTS vector; ================================================ FILE: deployment/helm/postgres-pgvector/templates/deployment.yaml ================================================ apiVersion: apps/v1 kind: Deployment metadata: name: {{ include "postgres-pgvector.fullname" . }} labels: {{- include "postgres-pgvector.labels" . | nindent 4 }} spec: replicas: 1 selector: matchLabels: {{- include "postgres-pgvector.selectorLabels" . | nindent 6 }} template: metadata: labels: {{- include "postgres-pgvector.selectorLabels" . | nindent 8 }} spec: {{- with .Values.imagePullSecrets }} imagePullSecrets: {{- toYaml . | nindent 8 }} {{- end }} containers: - name: postgres image: "{{ .Values.image.repository }}:{{ .Values.image.tag }}" imagePullPolicy: {{ .Values.image.pullPolicy }} ports: - name: postgres containerPort: 5432 protocol: TCP env: - name: PGDATA value: /var/lib/postgresql/data/pgdata - name: POSTGRES_USER value: {{ .Values.auth.username | quote }} - name: POSTGRES_DB value: {{ .Values.auth.database | quote }} - name: POSTGRES_PASSWORD valueFrom: secretKeyRef: name: {{ .Values.auth.existingSecret | default (include "postgres-pgvector.fullname" .) }} key: {{ .Values.auth.existingSecretKey | default "password" }} volumeMounts: - name: data mountPath: /var/lib/postgresql/data - name: init-scripts mountPath: /docker-entrypoint-initdb.d readOnly: true livenessProbe: exec: command: - pg_isready - -U - {{ .Values.auth.username }} - -d - {{ .Values.auth.database }} initialDelaySeconds: 30 periodSeconds: 10 readinessProbe: exec: command: - pg_isready - -U - {{ .Values.auth.username }} - -d - {{ .Values.auth.database }} initialDelaySeconds: 5 periodSeconds: 5 {{- with .Values.resources }} resources: {{- toYaml . | nindent 12 }} {{- end }} volumes: - name: data {{- if .Values.persistence.enabled }} persistentVolumeClaim: claimName: {{ include "postgres-pgvector.fullname" . }} {{- else }} emptyDir: {} {{- end }} - name: init-scripts configMap: name: {{ include "postgres-pgvector.fullname" . }}-init ================================================ FILE: deployment/helm/postgres-pgvector/templates/pvc.yaml ================================================ {{- if .Values.persistence.enabled }} apiVersion: v1 kind: PersistentVolumeClaim metadata: name: {{ include "postgres-pgvector.fullname" . }} labels: {{- include "postgres-pgvector.labels" . | nindent 4 }} spec: accessModes: - ReadWriteOnce resources: requests: storage: {{ .Values.persistence.size | default "10Gi" }} {{- end }} ================================================ FILE: deployment/helm/postgres-pgvector/templates/secret.yaml ================================================ {{- if and .Values.auth.password (not .Values.auth.existingSecret) }} apiVersion: v1 kind: Secret metadata: name: {{ include "postgres-pgvector.fullname" . }} labels: {{- include "postgres-pgvector.labels" . | nindent 4 }} type: Opaque stringData: password: {{ .Values.auth.password | quote }} {{- end }} ================================================ FILE: deployment/helm/postgres-pgvector/templates/service.yaml ================================================ apiVersion: v1 kind: Service metadata: name: {{ include "postgres-pgvector.fullname" . }} labels: {{- include "postgres-pgvector.labels" . | nindent 4 }} spec: type: {{ .Values.service.type }} ports: - port: {{ .Values.service.port }} targetPort: postgres protocol: TCP name: postgres selector: {{- include "postgres-pgvector.selectorLabels" . | nindent 4 }} ================================================ FILE: deployment/helm/postgres-pgvector/values.yaml ================================================ image: repository: pgvector/pgvector tag: pg16 pullPolicy: IfNotPresent # Optional (e.g. Docker Hub authenticated pulls). K8s format: [{ name: "secret-name" }] imagePullSecrets: [] auth: database: cuga username: cuga password: "" existingSecret: "" existingSecretKey: password service: type: ClusterIP port: 5432 persistence: enabled: true size: 2Gi resources: {} # requests: # memory: 256Mi # cpu: 100m # limits: # memory: 512Mi # cpu: 500m ================================================ FILE: deployment/helm/status-openshift.sh ================================================ #!/usr/bin/env bash set -euo pipefail # --------------------------------------------------------------------------- # CUGA OpenShift Status Script # # Inspect pods, logs, routes, and events for a deployment based on openshift.env # # Usage: # ./status-openshift.sh [path/to/openshift.env] [command] [options] # # Commands (default: pods): # pods, list List CUGA pods with status # all List all deployment pods (cuga, postgres, vault) # describe Describe CUGA pods # startup Pod startup status and events (what's happening now) # logs [pod] Show pod logs (-f to follow) # route Show route URL and access links # events Show recent namespace events # status Helm release status + pod summary # # Examples: # ./status-openshift.sh # ./status-openshift.sh openshift.env logs -f # ./status-openshift.sh openshift.env logs cuga-cuga-agent-abc123-xyz # ./status-openshift.sh openshift.env describe # --------------------------------------------------------------------------- SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" ENV_FILE="" CMD="pods" LOG_FOLLOW=false POD_NAME="" KUBECTL_TIMEOUT="${KUBECTL_REQUEST_TIMEOUT:-120}" KUBE=$(command -v oc 2>/dev/null || command -v kubectl 2>/dev/null || { echo "ERROR: oc or kubectl not found" exit 1 }) # Colors (no-op if not tty) if [[ -t 1 ]]; then RED='\033[0;31m' GREEN='\033[0;32m' YELLOW='\033[1;33m' BLUE='\033[0;34m' CYAN='\033[0;36m' BOLD='\033[1m' NC='\033[0m' else RED='' GREEN='' YELLOW='' BLUE='' CYAN='' BOLD='' NC='' fi eecho() { printf '%b\n' "$*"; } print_usage() { echo "" eecho "${BOLD}Usage:${NC} $0 [path/to/openshift.env] [command] [options]" echo "" eecho "${BOLD}Commands:${NC}" echo " pods, list List CUGA pods (default)" echo " all List cuga + postgres + vault pods" echo " describe Describe CUGA pods" echo " startup Pod startup status and events (what's happening now)" echo " logs [pod] Pod logs (use -f to follow)" echo " route Show route URL and access links" echo " events Recent namespace events" echo " status Helm status + pod summary" echo "" eecho "${BOLD}Examples:${NC}" echo " $0" echo " $0 openshift.env logs -f" echo " $0 openshift.env describe" echo "" } # Parse args: [env] [command] [options] while [[ $# -gt 0 ]]; do case "$1" in -h|--help) print_usage; exit 0 ;; -f) LOG_FOLLOW=true; shift ;; logs) CMD="logs"; shift ;; pods|list) CMD="pods"; shift ;; all) CMD="all"; shift ;; describe) CMD="describe"; shift ;; startup) CMD="startup"; shift ;; route) CMD="route"; shift ;; events) CMD="events"; shift ;; status) CMD="status"; shift ;; *) if [[ -z "$ENV_FILE" && -f "$1" ]]; then ENV_FILE="$1" elif [[ "$CMD" == "logs" && -z "$POD_NAME" && "$1" != -* ]]; then POD_NAME="$1" elif [[ -z "$ENV_FILE" ]]; then ENV_FILE="$1" else echo "Unknown argument: $1" print_usage exit 1 fi shift ;; esac done ENV_FILE="${ENV_FILE:-${SCRIPT_DIR}/openshift.env}" if [[ ! -f "$ENV_FILE" ]]; then eecho "${RED}ERROR:${NC} env file not found: $ENV_FILE" print_usage exit 1 fi # shellcheck disable=SC1090 set -a source "$ENV_FILE" set +a INSTANCE_ID="${INSTANCE_ID:?INSTANCE_ID not set in $ENV_FILE}" NAMESPACE="${NAMESPACE:-cuga}" RELEASE_NAME="cuga-${INSTANCE_ID}" k() { $KUBE "$@" --namespace "${NAMESPACE}" --request-timeout="${KUBECTL_TIMEOUT}" } header() { echo "" eecho "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}" eecho " ${BOLD}$1${NC}" eecho "${CYAN}━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━${NC}" } case "$CMD" in pods|list) header "CUGA Pods (${RELEASE_NAME})" echo "" k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o wide echo "" k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o custom-columns='NAME:.metadata.name,STATUS:.status.phase,RESTARTS:.status.containerStatuses[0].restartCount,AGE:.metadata.creationTimestamp' ;; all) header "All Deployment Pods" echo "" eecho "${BOLD}CUGA:${NC}" k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o wide 2>/dev/null || echo " (none)" echo "" eecho "${BOLD}PostgreSQL:${NC}" k get pods -l "app.kubernetes.io/name=postgres-pgvector" -o wide 2>/dev/null || echo " (none)" echo "" eecho "${BOLD}Vault:${NC}" k get pods -l "app.kubernetes.io/name=vault" -o wide 2>/dev/null || echo " (none)" ;; describe) header "Describe CUGA Pods" PODS=$(k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o jsonpath='{.items[*].metadata.name}' 2>/dev/null || true) if [[ -z "$PODS" ]]; then eecho "${YELLOW}No pods found for ${RELEASE_NAME}${NC}" exit 0 fi for p in $PODS; do echo "" k describe pod "$p" done ;; startup) header "Pod Startup Status" POD=$(k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o jsonpath='{.items[0].metadata.name}' 2>/dev/null || true) if [[ -z "$POD" ]]; then eecho "${YELLOW}No CUGA pod found.${NC} Deployment may not be created yet." echo "" k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" 2>/dev/null || true exit 0 fi eecho "Pod: ${BOLD}${POD}${NC}" echo "" eecho "${BOLD}Current status:${NC}" k get pod "$POD" -o wide echo "" eecho "${BOLD}Events (what is happening now):${NC}" k get events --field-selector "involvedObject.name=${POD}" --sort-by='.lastTimestamp' 2>/dev/null | tail -25 || k get events --sort-by='.lastTimestamp' 2>/dev/null | tail -20 echo "" eecho "${CYAN}Tip: run 'describe' for full details, 'logs -f' to follow logs${NC}" ;; logs) header "Pod Logs" if [[ -n "$POD_NAME" ]]; then POD="$POD_NAME" else POD=$(k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o jsonpath='{.items[0].metadata.name}' 2>/dev/null || true) fi if [[ -z "$POD" ]]; then eecho "${YELLOW}No CUGA pod found.${NC} Specify pod name: $0 $ENV_FILE logs <pod-name>" exit 1 fi eecho "Pod: ${BOLD}${POD}${NC}" echo "" if [[ "$LOG_FOLLOW" == true ]]; then k logs "$POD" --all-containers -f 2>&1 else LOGS=$(k logs "$POD" --all-containers --tail=100 2>&1) || true if [[ -n "$LOGS" ]]; then printf '%s\n' "$LOGS" else eecho "${YELLOW}No logs yet (container may still be starting).${NC}" fi echo "" eecho "${CYAN}Tip: use -f to follow logs${NC}" fi ;; route) header "Route & Access" HOST=$(k get route "${RELEASE_NAME}" -o jsonpath='{.spec.host}' 2>/dev/null || true) if [[ -z "$HOST" ]]; then eecho "${YELLOW}Route not found.${NC} Deployment may still be starting." k get route -l "app.kubernetes.io/instance=${RELEASE_NAME}" 2>/dev/null || true exit 0 fi echo "" eecho " ${BOLD}Host:${NC} https://${HOST}" echo "" eecho " ${BOLD}Links:${NC}" eecho " App ${BLUE}https://${HOST}/${NC}" eecho " Chat ${BLUE}https://${HOST}/chat${NC}" eecho " Manage ${BLUE}https://${HOST}/manage${NC}" echo "" ;; events) header "Recent Events (${NAMESPACE})" echo "" k get events --sort-by='.lastTimestamp' | tail -30 ;; status) header "Helm Release: ${RELEASE_NAME}" echo "" helm status "${RELEASE_NAME}" --namespace "${NAMESPACE}" 2>/dev/null || echo "Release not found" echo "" header "Pod Summary" k get pods -l "app.kubernetes.io/instance=${RELEASE_NAME}" -o custom-columns='POD:.metadata.name,STATUS:.status.phase,READY:.status.containerStatuses[0].ready,RESTARTS:.status.containerStatuses[0].restartCount' echo "" HOST=$(k get route "${RELEASE_NAME}" -o jsonpath='{.spec.host}' 2>/dev/null || true) if [[ -n "$HOST" ]]; then eecho " ${BOLD}URL:${NC} https://${HOST}" fi ;; *) echo "Unknown command: $CMD" print_usage exit 1 ;; esac echo "" ================================================ FILE: deployment/helm/vault/Chart.yaml ================================================ apiVersion: v2 name: vault description: HashiCorp Vault sub-chart for CUGA secret management type: application version: 0.1.0 appVersion: "1.15.0" dependencies: - name: vault version: "0.28.0" repository: "https://helm.releases.hashicorp.com" ================================================ FILE: deployment/helm/vault/templates/NOTES.txt ================================================ HashiCorp Vault has been deployed. To initialize and unseal Vault (first time only): kubectl exec -n {{ .Release.Namespace }} -it vault-0 -- vault operator init kubectl exec -n {{ .Release.Namespace }} -it vault-0 -- vault operator unseal <unseal-key> Then configure CUGA to use it by setting in openshift.env: VAULT_ADDR=http://vault.<namespace>.svc.cluster.local:8200 VAULT_TOKEN=<root-or-app-token> DYNACONF_SECRETS__MODE=vault DYNACONF_SECRETS__VAULT_ADDR=http://vault.{{ .Release.Namespace }}.svc.cluster.local:8200 DYNACONF_SECRETS__VAULT_TOKEN_ENV=VAULT_TOKEN ================================================ FILE: deployment/helm/vault/values.openshift.yaml ================================================ # OpenShift-specific overrides for the vault sub-chart. # Use: helm upgrade --install vault ./vault -f values.openshift.yaml vault: global: openshift: true tlsDisable: true server: standalone: enabled: true # OpenShift requires non-root UID; Vault image supports this via securityContext. securityContext: runAsNonRoot: true runAsUser: null runAsGroup: null fsGroup: null route: enabled: true host: "" tls: termination: edge insecureEdgeTerminationPolicy: Redirect dataStorage: enabled: true size: 2Gi storageClass: "" accessMode: ReadWriteOnce ui: enabled: true serviceType: ClusterIP injector: enabled: false route: enabled: true hostname: "" ================================================ FILE: deployment/helm/vault/values.yaml ================================================ # Default values for HashiCorp Vault deployment alongside CUGA. # Override per environment using values.openshift.yaml or --set flags. vault: global: enabled: true tlsDisable: true server: enabled: true image: repository: hashicorp/vault tag: "1.15.0" pullPolicy: IfNotPresent # Single-node dev mode — suitable for development/demo only. # Set ha.enabled=true for production. dev: enabled: false standalone: enabled: true config: | ui = true listener "tcp" { tls_disable = 1 address = "[::]:8200" } storage "file" { path = "/vault/data" } resources: requests: memory: 256Mi cpu: 100m limits: memory: 512Mi cpu: 500m dataStorage: enabled: true size: 1Gi storageClass: null accessMode: ReadWriteOnce service: enabled: true port: 8200 targetPort: 8200 type: ClusterIP # Token to bootstrap Vault. Override via --set or existingSecret. # The CUGA_VAULT_TOKEN env var in the CUGA pod must match. extraEnvironmentVars: VAULT_DEV_ROOT_TOKEN_ID: "" ui: enabled: true serviceType: ClusterIP injector: enabled: false # Route for OpenShift (set hostname or leave empty for auto-assign). route: enabled: false hostname: "" tls: termination: edge insecureEdgeTerminationPolicy: Redirect ================================================ FILE: design.html ================================================ <!DOCTYPE html> <html lang="en"> <head> <meta charset="UTF-8"> <meta name="viewport" content="width=device-width, initial-scale=1.0"> <title>CugaSupervisor Design - Patterns & Architecture

🎯 CugaSupervisor Design & Architecture

A comprehensive guide to the CugaSupervisor multi-agent orchestration system, including patterns, configurations, SDK usage, and visual flow diagrams.

📑 Table of Contents

📋 Overview

CugaSupervisor is a LangGraph subgraph system for orchestrating multiple CugaAgent instances. It enables coordination of specialized agents, each with their own tools, apps, and configurations.

Key Features:
  • Two distinct patterns: Plan Upfront and Conversational
  • Plan Upfront supports Sequential or Parallel execution strategies
  • Support for internal CugaAgent instances and external A2A protocol agents
  • YAML-based configuration for easy setup
  • SDK for programmatic usage
  • Separate conversation history for supervisor and sub-agents

🔄 Supervisor Patterns

1. Plan Upfront Pattern Plan & Execute

The supervisor plans which agents to use and their tasks upfront in a single LLM call. All agents execute with predefined tasks, and results are aggregated. Optional LLM calls between agent executions can pass context.

graph TD Start([User Request]) --> Prepare[Prepare Agents] Prepare --> Delegate[Delegate Task
LLM Call: Select agents & plan tasks] Delegate --> Execute[Execute Agents
Sequential or Parallel] Execute --> Aggregate[Aggregate Results] Aggregate --> Finalize[Finalize & Update History] Finalize --> End([Return Results]) Delegate -.Single LLM Call.-> LLM[Supervisor Model
Analyzes task
Selects agents
Plans all tasks upfront] Execute -->|Sequential| Seq[Agent 1 → Agent 2 → Agent 3
All tasks predefined] Execute -->|Parallel| Par[Agent 1, Agent 2, Agent 3
Execute simultaneously
All tasks predefined] Seq --> Aggregate Par --> Aggregate Seq -.Optional LLM.-> LLM2[Optional LLM Call
Pass context between agents] LLM2 -.Context.-> Seq style Start fill:#667eea,stroke:#333,stroke-width:2px,color:#fff style End fill:#28a745,stroke:#333,stroke-width:2px,color:#fff style Delegate fill:#ffc107,stroke:#333,stroke-width:2px style LLM fill:#ff9800,stroke:#333,stroke-width:2px,color:#fff style LLM2 fill:#ff9800,stroke:#333,stroke-width:2px,stroke-dasharray: 5 5,color:#fff
Flow: 1. User sends request → Supervisor receives in supervisor_chat_messages 2. Single LLM Call: Analyzes task, selects agents, and plans ALL tasks upfront (delegate_task node) - LLM uses full conversation history from supervisor_chat_messages for context-aware planning - Conversation context is included in the planning prompt 3. Agents execute with predefined tasks: - Sequential: One after another in order - Parallel: All simultaneously 4. Optional: LLM can be called between agent executions to pass context (e.g., Agent 1 result → LLM → Agent 2 with context) 5. Results aggregated from all agents 6. Final answer added to supervisor_chat_messages and returned to user Key Point: Main planning happens upfront. Optional LLM calls between agents for context passing. Chat Layer: - supervisor_chat_messages maintains full conversation history across turns - Planning LLM call (delegate_task) uses conversation context to make informed decisions - Each turn's conversation history is preserved for next turn - Final answers are appended to supervisor_chat_messages for persistence

Execution Strategy Variations

graph LR PlanUpfront[Plan Upfront Pattern] --> Sequential[Sequential Strategy
Agents execute one by one
Tasks predefined upfront] PlanUpfront --> Parallel[Parallel Strategy
Agents execute simultaneously
Tasks predefined upfront] Sequential --> S1[Agent 1
predefined task] -->|Optional LLM| LLM[LLM Call
Pass context] --> S2[Agent 2
predefined task + context] --> S3[Agent 3
predefined task] Parallel --> P1[Agent 1
predefined task] Parallel --> P2[Agent 2
predefined task] Parallel --> P3[Agent 3
predefined task] P1 --> Merge[Merge Results] P2 --> Merge P3 --> Merge style PlanUpfront fill:#667eea,stroke:#333,stroke-width:2px,color:#fff style LLM fill:#ff9800,stroke:#333,stroke-width:2px,stroke-dasharray: 5 5,color:#fff
Use Cases: When you need to coordinate multiple agents with known responsibilities and tasks, such as "Get customer data from CRM, then send email, then save to filesystem."

LLM Calls: 1 required (initial planning call). Optional LLM calls between agent executions for context passing.

Execution Strategies:
  • Sequential: Agents execute one after another with predefined tasks. Optional LLM between agents to pass context.
  • Parallel: All agents execute simultaneously with predefined tasks (no LLM between agents).

Chat Layer in Plan Upfront

sequenceDiagram participant User participant Supervisor participant ChatHistory as supervisor_chat_messages participant LLM as Planning LLM participant Agents User->>Supervisor: "Get customer data and send email" Supervisor->>ChatHistory: Store user message Supervisor->>ChatHistory: Read full conversation history ChatHistory-->>Supervisor: Full conversation context Supervisor->>LLM: Planning call with conversation context
"Conversation history: ...
Current user request: ..." LLM-->>Supervisor: Selected agents & tasks
(context-aware decision) Supervisor->>Agents: Execute with predefined tasks Agents-->>Supervisor: Results Supervisor->>ChatHistory: Append final answer Supervisor-->>User: Response Note over ChatHistory: Persists across turns
Maintains full conversation history
Chat Layer Details: 1. supervisor_chat_messages: Maintains full conversation history (separate from sub-agent chat messages) 2. Planning Phase (delegate_task node): - Reads latest user message from supervisor_chat_messages - Builds conversation context from all messages in supervisor_chat_messages - Formats context as: "User: ...\nAssistant: ...\nCurrent user request: ..." - Includes conversation context in planning prompt to LLM - LLM uses full conversation history to make context-aware delegation decisions 3. Context-Aware Planning: - LLM sees previous conversation when deciding which agents to use - Can understand references to previous messages (e.g., "send email with the data from earlier") - Makes informed decisions based on conversation flow 4. Persistence: - Final answers are appended to supervisor_chat_messages - Conversation history persists across turns via LangGraph checkpointer - Each turn has access to full conversation history 5. Separation: - supervisor_chat_messages: Supervisor's conversation with user - agent_chat_messages: Individual sub-agent conversations (separate)

2. Conversational Pattern Conversational with Delegation Tools

The supervisor acts as a single agent with agent delegation tools. It writes Python code to call agents dynamically, similar to how cuga_lite calls tools. This enables iterative, conversational workflows.

graph TD Start([User Request]) --> Prepare[Prepare Agents & Prompt
Create delegation tools] Prepare --> CallModel[Call Model
LLM generates code or answer] CallModel -->|Code Found| Execute[Execute Agent Tool
Run Python code] Execute --> CallModel CallModel -->|Final Answer| End([Return to User]) Prepare -.Creates.-> Tools[delegate_to_crm_agent
delegate_to_email_agent
create_update_todos] Execute -.Calls.-> Agent1[Agent 1 via Code] Execute -.Calls.-> Agent2[Agent 2 via Code] CallModel -.LLM Call.-> LLM[Supervisor Model
Generates Python code
or final text answer] style Start fill:#667eea,stroke:#333,stroke-width:2px,color:#fff style End fill:#28a745,stroke:#333,stroke-width:2px,color:#fff style CallModel fill:#ff9800,stroke:#333,stroke-width:2px,color:#fff style Execute fill:#2196F3,stroke:#333,stroke-width:2px,color:#fff
# Example: LLM generates code like this: customer_data = await delegate_to_crm_agent("Get customer information") print(customer_data) # Then in next cycle, uses the result: email_result = await delegate_to_email_agent(f"Send email with {customer_data}") print(email_result)
Important: Each delegate_to_... function must be executed in its own code block, isolated from other code. Multiple agents should be called in separate execution cycles.
Use Cases: When you need dynamic, iterative workflows where the supervisor decides which agents to call based on intermediate results, similar to how a human would coordinate tasks.

⚙️ Execution Strategies (Plan Upfront Pattern)

Execution strategies determine how agents are executed in the Plan Upfront pattern. All tasks are planned upfront in a single LLM call - no dynamic decisions between executions.

1. Sequential Strategy One After Another

Agents execute one after another in the order they were selected. All tasks are predefined upfront. Optional LLM calls between agent executions can pass context.

graph TD Start([Task]) --> Plan[LLM Call: Plan All Tasks
Select agents & define all tasks] Plan --> A1[Execute Agent 1
predefined task] A1 -->|Optional| LLM1[Optional LLM Call
Pass context from Agent 1] LLM1 -.Context.-> A2[Execute Agent 2
predefined task + context] A1 -.Direct.-> A2 A2 -->|Optional| LLM2[Optional LLM Call
Pass context from Agent 1 & 2] LLM2 -.Context.-> A3[Execute Agent 3
predefined task + context] A2 -.Direct.-> A3 A3 --> Aggregate[Aggregate All Results] Aggregate --> End([Final Result]) style Start fill:#667eea,stroke:#333,stroke-width:2px,color:#fff style End fill:#28a745,stroke:#333,stroke-width:2px,color:#fff style Plan fill:#ff9800,stroke:#333,stroke-width:2px,color:#fff style LLM1 fill:#ff9800,stroke:#333,stroke-width:2px,stroke-dasharray: 5 5,color:#fff style LLM2 fill:#ff9800,stroke:#333,stroke-width:2px,stroke-dasharray: 5 5,color:#fff
LLM Calls: 1 required (initial planning). Optional LLM calls between agent executions to pass context dynamically.

2. Parallel Strategy All At Once

All selected agents execute simultaneously with predefined tasks. No LLM calls between agents - all tasks are determined upfront.

graph TD Start([Task]) --> Plan[LLM Call: Plan All Tasks
Select agents & define all tasks] Plan --> Parallel[Execute All Agents
In Parallel] Parallel --> A1[Agent 1
predefined task] Parallel --> A2[Agent 2
predefined task] Parallel --> A3[Agent 3
predefined task] A1 --> Merge[Merge Results] A2 --> Merge A3 --> Merge Merge --> End([Final Result]) style Start fill:#667eea,stroke:#333,stroke-width:2px,color:#fff style End fill:#28a745,stroke:#333,stroke-width:2px,color:#fff style Plan fill:#ff9800,stroke:#333,stroke-width:2px,color:#fff
LLM Calls: 1 only (initial planning). All tasks predefined.
Strategy Description LLM Calls Use Case
Sequential Agents execute one after another with predefined tasks 1 (planning only) When agents depend on previous results in a known order
Parallel All agents execute simultaneously with predefined tasks 1 (planning only) When agents are independent and can run concurrently

⚙️ Configurations

Settings.toml Configuration

[supervisor] enabled = true config_path = "src/cuga/backend/tools_env/registry/config/supervisor_demo_crm.yaml" pattern = "conversational" # "plan_upfront" or "conversational" strategy = "parallel" # "sequential" or "parallel" (only for plan_upfront pattern) agent_approval = true # Require user approval before executing sub-agents
Note: YAML configuration overrides settings.toml values. If both are present, YAML takes precedence.

💻 SDK Usage

The CugaSupervisor SDK provides a simple and powerful programmatic interface for creating and managing multi-agent systems.

Programmatic Creation

Create supervisors and agents programmatically with full control over configuration and behavior.

from cuga.sdk import CugaSupervisor, CugaAgent from cuga.backend.tools_env.registry import ToolRegistry # Create supervisor supervisor = CugaSupervisor( model_provider="groq", model_name="openai/gpt-oss-120b", description="Supervisor for coordinating multiple agents" ) # Add internal agents crm_agent = CugaAgent( name="crm_agent", description="CRM specialist", tool_provider=ToolRegistry.get_tool_provider(), apps=["crm"] ) supervisor.add_agent(crm_agent) # Add external A2A agent supervisor.add_agent({ "name": "external_agent", "type": "external", "description": "External agent via A2A", "config": { "a2a_protocol": { "endpoint": "http://localhost:8000", "transport": "http" } } }) # Execute task result = await supervisor.invoke("Get customer data and send email") print(result.answer) # Access variables variables = supervisor.variables_manager.get_variables_summary() print(variables)

YAML-based Creation

Load supervisor configuration from YAML files for quick setup and easy configuration management.

from cuga.sdk import CugaSupervisor # Load from YAML supervisor = CugaSupervisor.from_yaml("config/supervisor_demo_crm.yaml") # Execute task result = await supervisor.invoke("Retrieve account details and send email") print(result.answer)
💡 Pro Tips:
  • Use CugaSupervisor for programmatic control and dynamic agent management
  • Use from_yaml() for quick setup and configuration-driven workflows
  • Access variables_manager to retrieve variables collected from sub-agents
  • Combine both approaches: load base config from YAML, then add agents programmatically

📄 YAML Configuration Examples

Basic Configuration

supervisor: strategy: parallel # sequential or parallel (only for plan_upfront pattern) mode: conversational # "plan_upfront" or "conversational" model: provider: groq model_name: openai/gpt-oss-120b description: "Supervisor for coordinating agents" agents: - name: crm_agent type: internal description: "CRM specialist" apps: - crm special_instructions: "Focus on customer data management" - name: email_agent type: internal description: "Email specialist" apps: - email

With External A2A Agent

supervisor: strategy: sequential mode: plan_upfront model: provider: groq model_name: openai/gpt-oss-120b agents: - name: internal_agent type: internal apps: - crm - name: external_agent type: external description: "External agent via A2A protocol" config: a2a_protocol: endpoint: "http://localhost:8000" transport: "http" # http, sse, websocket, or stdio a2a: protocol_version: "1.0" communication: type: http timeout: 30 retry_policy: max_retries: 3 backoff: exponential

With MCP Servers

supervisor: mode: plan_upfront strategy: parallel agents: - name: filesystem_agent type: internal mcp_servers: - name: filesystem url: http://localhost:8112/sse special_instructions: "Handle file operations"

🏗️ Architecture Components

graph TB MainGraph[Main Graph] --> SupervisorNode[CugaSupervisorNode] SupervisorNode --> Subgraph[CugaSupervisor Subgraph] Subgraph --> State[CugaSupervisorState] State --> Chat[supervisor_chat_messages] State --> Agents[available_agents] State --> Results[agent_results] State --> Vars[supervisor_variables] Subgraph --> Prepare[prepare_agents] Subgraph --> Delegate[delegate_task] Subgraph --> Execute[execute_agents] Subgraph --> Finalize[finalize] Execute --> Internal[Internal CugaAgent] Execute --> External[External A2A Agent] Internal --> Tools[Tools from Registry] External --> A2A[A2A Protocol] style MainGraph fill:#667eea,stroke:#333,stroke-width:2px,color:#fff style Subgraph fill:#764ba2,stroke:#333,stroke-width:2px,color:#fff style State fill:#ff9800,stroke:#333,stroke-width:2px,color:#fff

State Management

Field Description
supervisor_chat_messages Supervisor's conversation history (separate from sub-agents)
available_agents Registry of available agents (internal and external)
selected_agents Agents selected for current task execution
agent_results Results from each agent execution
agent_variables Variables from each sub-agent
supervisor_variables Aggregated variables collected from sub-agents

LLM Call Flow: Plan Upfront Pattern

sequenceDiagram participant User participant Supervisor participant LLM as Supervisor LLM participant Agent1 participant Agent2 User->>Supervisor: Task Request Supervisor->>LLM: Analyze task, select agents & plan ALL tasks LLM-->>Supervisor: Selected agents: [Agent1, Agent2]
Tasks: {Agent1: "task1", Agent2: "task2"} Supervisor->>Agent1: Execute predefined task Agent1-->>Supervisor: Result 1 Supervisor->>Agent2: Execute predefined task Agent2-->>Supervisor: Result 2 Supervisor->>Supervisor: Aggregate results Supervisor-->>User: Response (aggregated results)
Key Point: Only ONE LLM call for planning. No LLM calls between agent executions.

🔄 Complete Flow: Conversational Pattern Example

sequenceDiagram participant User participant Supervisor participant LLM participant CodeExecutor participant CRM participant Email User->>Supervisor: "Get customer data and send email" Supervisor->>LLM: Generate code with delegation tools LLM-->>Supervisor: ```python
customer_data = await delegate_to_crm_agent("Get customer info")
print(customer_data)``` Supervisor->>CodeExecutor: Execute code CodeExecutor->>CRM: Delegate task CRM-->>CodeExecutor: Customer data CodeExecutor-->>Supervisor: Execution output + variables Supervisor->>LLM: Generate next code (with customer_data variable) LLM-->>Supervisor: ```python
email_result = await delegate_to_email_agent(f"Send email with {customer_data}")
print(email_result)``` Supervisor->>CodeExecutor: Execute code CodeExecutor->>Email: Delegate task Email-->>CodeExecutor: Email sent confirmation CodeExecutor-->>Supervisor: Execution output Supervisor->>LLM: Generate final answer LLM-->>Supervisor: "I've retrieved the customer data and sent the email successfully." Supervisor-->>User: Final answer
✅ Summary: CugaSupervisor provides two powerful patterns for multi-agent orchestration:
  • Plan Upfront: Single LLM call plans all agent tasks upfront. Supports Sequential or Parallel execution. No LLM calls between agent executions.
  • Conversational: Conversational pattern with dynamic agent delegation tools. LLM generates Python code to call agents iteratively.
The system supports both internal and external agents, flexible execution strategies, and comprehensive configuration options.
================================================ FILE: design.md ================================================ # CugaSupervisor Design Document ## Overview This document describes the CugaSupervisor feature implementation - a subgraph system for orchestrating multiple CugaAgent instances. The supervisor pattern allows coordinating specialized agents, each with their own tools, apps, and configurations, similar to how `cuga_lite_graph.py` implements a subgraph. ## Architecture ### Core Components 1. **CugaSupervisor Subgraph** (`cuga_supervisor_graph.py`) - Similar structure to `cuga_lite_graph.py` - Orchestrates multiple CugaAgent instances - Manages task delegation and result aggregation - Supports sequential, parallel, and adaptive execution strategies - Supports two modes: delegation and response 2. **Supervisor State** (`cuga_supervisor_state.py`) - Extends `AgentState` to maintain compatibility - **supervisor_chat_messages**: Main chat messages for supervisor (separate from sub-agents) - **agent_chat_messages**: Tracks individual sub-agent conversations - **supervisor_variables**: Aggregated variables collected from sub-agents - **supervisor_mode**: "delegation" or "response" - Agent registry, results tracking, and delegation metadata 3. **SDK Support** (`sdk.py`) - `CugaSupervisor` class for programmatic creation - `from_yaml()` method for YAML configuration loading - `invoke()` method for task execution - `variables_manager` property for accessing collected variables - `add_agent()` and `remove_agent()` for dynamic agent management 4. **YAML Configuration Loader** (`sdk/supervisor_config.py`) - Parses YAML configuration files - Creates internal CugaAgent instances from config - Configures external A2A agents - Supports tools, apps, MCP servers, and A2A protocol 5. **A2A Protocol** (`a2a_protocol.py`) - Agent-to-Agent communication protocol - Supports HTTP, SSE, WebSocket, and STDIO transports - Task delegation, result sharing, capability discovery - Status checking 6. **Supervisor Node** (`cuga_supervisor_node.py`) - Node wrapper for integration with main graph - Handles state conversion between AgentState and CugaSupervisorState - Callback node for processing results ## Operational Strategies ### 1. Plan Upfront Strategy - Supervisor decides which agents to use upfront using LLM - Executes agents with sequential, parallel, or adaptive strategy - Controls execution flow with LLM decisions between agents (for sequential/adaptive) - Collects variables from sub-agents - Synthesizes natural language responses from agent results - Uses `supervisor_chat_messages` for conversation context - Best for complex multi-agent coordination tasks ### 2. Conversational Strategy - Supervisor acts as a single agent with delegation tools - Conversational approach similar to cuga_lite - Can call agents via Python code dynamically - More flexible, agent-driven execution - Best for simpler tasks or when dynamic agent selection is needed ## State Management ### Supervisor Chat Messages - **`supervisor_chat_messages`**: The supervisor's own conversation history with the user - Separate from sub-agents' messages - Used in plan_upfront strategy for context, task delegation, and response synthesis - Used in conversational strategy for conversational context - Maintains continuity across multiple agent invocations ### Variable Management - **`supervisor_variables`**: Aggregated variables collected from sub-agents - Each sub-agent maintains its own variables (stored in `agent_variables`) - Supervisor aggregates variables with agent name prefixes to avoid conflicts - Accessible via `supervisor_variables_manager` property ## Graph Flow ### Plan Upfront Strategy Flow ``` START -> prepare_agents -> delegate_task -> execute_agents -> collect_variables -> aggregate_results -> synthesize_response -> finalize -> END ``` ### Conversational Strategy Flow ``` START -> prepare_agents_and_prompt -> call_model -> [if code: execute_agent_tool -> call_model] -> END ``` ### Nodes (Plan Upfront) 1. **prepare_agents**: Initialize and register available agents 2. **delegate_task**: LLM decides which agent(s) to use based on supervisor_chat_messages 3. **execute_agents**: Execute selected agents (sequential/parallel/adaptive) with LLM-controlled flow 4. **collect_variables**: Collect variables from sub-agents into supervisor_variables 5. **aggregate_results**: Combine results from multiple agents 6. **synthesize_response**: Generate final response from sub-agent results 7. **finalize**: Prepare final answer and update supervisor_chat_messages ### Nodes (Conversational) 1. **prepare_agents_and_prompt**: Prepare agents, create delegation tools, and generate prompt 2. **call_model**: Call LLM to generate code or text response 3. **execute_agent_tool**: Execute code with agent delegation tools available ## Agent Types ### Internal CugaAgent - Created directly as `CugaAgent` instances - No network overhead - Direct function calls - Shared memory space - Defined in YAML without `a2a_protocol` section ### External A2A Agent - Connected via HTTP/SSE/WebSocket/STDIO - Network communication required - Defined in YAML with `a2a_protocol` section - Supports authentication and retry policies ## A2A Protocol ### Connection Methods 1. **HTTP Transport** (Recommended for production) - RESTful API endpoints - JSON message format - Example: `http://localhost:8000/a2a` 2. **SSE Transport** (Server-Sent Events) - Real-time event streaming - Similar to MCP SSE transport - Example: `http://localhost:8000/a2a/sse` 3. **WebSocket Transport** (Bidirectional) - Full-duplex communication - Real-time bidirectional messaging - Example: `ws://localhost:8000/a2a/ws` 4. **STDIO Transport** (Local agents) - For agents running in same process - Direct function calls - Example: `local_agent_id` ### How to Connect ```python from cuga.backend.cuga_graph.nodes.cuga_supervisor.a2a_protocol import A2AProtocol # HTTP Transport a2a_agent = A2AProtocol( endpoint="http://localhost:8000/a2a", transport="http", auth={"type": "bearer", "token": "secret-token"}, timeout=30 ) await a2a_agent.connect() # Delegate task result = await a2a_agent.delegate_task( target_agent="sales_agent", task="Get top accounts", context={} ) await a2a_agent.disconnect() ``` ## YAML Configuration ### Example Configuration ```yaml supervisor: strategy: adaptive # sequential, parallel, adaptive mode: plan_upfront # plan_upfront or conversational model: provider: openai model_name: gpt-4o description: "Supervisor for coordinating specialized agents" agents: # Internal CugaAgent (no a2a_protocol section) - name: sales_agent type: internal description: "Handles sales and CRM operations" tools: - name: get_accounts type: langchain apps: - name: digital_sales type: api url: https://digitalsales.example.com/openapi.json mcp_servers: - name: filesystem command: npx args: ["-y", "@modelcontextprotocol/server-filesystem", "./workspace"] transport: stdio special_instructions: "Focus on sales operations" # External Agent via A2A Protocol - name: remote_agent type: external description: "Remote agent via A2A protocol" a2a_protocol: enabled: true endpoint: http://localhost:8000/a2a transport: http auth: type: bearer token: ${A2A_TOKEN} capabilities: ["task_delegation", "result_sharing"] # A2A Protocol Global Configuration a2a: protocol_version: "1.0" communication: type: http timeout: 30 retry_policy: max_retries: 3 backoff: exponential ``` ## SDK Usage ### Programmatic Creation ```python from cuga import CugaAgent, CugaSupervisor from langchain_core.tools import tool @tool def get_accounts() -> str: """Get sales accounts""" return "Account data" sales_agent = CugaAgent(tools=[get_accounts]) data_agent = CugaAgent(tools=[analyze_data]) supervisor = CugaSupervisor( agents={"sales_agent": sales_agent, "data_agent": data_agent}, strategy="adaptive", mode="plan_upfront" ) result = await supervisor.invoke("Get sales data and analyze it") print(result.answer) ``` ### YAML Configuration ```python from cuga import CugaSupervisor supervisor = await CugaSupervisor.from_yaml("supervisor_config.yaml") result = await supervisor.invoke("Complex task requiring multiple agents") print(result.answer) # Access collected variables vars_manager = supervisor.variables_manager variables = vars_manager.get_variable_names() ``` ## Execution Strategies ### Sequential - Execute agents one after another - Each agent receives results from previous agents - Best for dependent tasks ### Parallel - Execute all agents simultaneously - Faster for independent tasks - Results aggregated after all complete ### Adaptive - Currently uses sequential as default - Future: Dynamic strategy selection based on task complexity and agent capabilities ## File Structure ``` src/cuga/ ├── backend/cuga_graph/nodes/cuga_supervisor/ │ ├── __init__.py │ ├── cuga_supervisor_graph.py # Main supervisor subgraph │ ├── cuga_supervisor_state.py # Supervisor state schema │ ├── cuga_supervisor_node.py # Supervisor node wrapper │ ├── a2a_protocol.py # A2A protocol implementation │ └── prompts/ │ ├── supervisor_system.jinja2 # (To be created) │ └── supervisor_user.jinja2 # (To be created) ├── sdk/ │ └── supervisor_config.py # YAML loader └── sdk_core/tests/ ├── test_supervisor_sdk.py ├── test_supervisor_multi_agent.py ├── test_supervisor_yaml_config.py └── fixtures/ └── supervisor_config.yaml ``` ## E2E Tests ### Test Files 1. **test_supervisor_sdk.py** - SDK integration tests - Supervisor creation from YAML - Agent registration - Task delegation - Result aggregation - Variable collection 2. **test_supervisor_multi_agent.py** - Multi-agent coordination - Sequential execution - Parallel execution - Adaptive strategy - Agent failure handling - Delegation vs response modes 3. **test_supervisor_yaml_config.py** - YAML configuration tests - YAML parsing - Agent configuration loading - MCP server integration - A2A protocol setup and connection ## Implementation Status ✅ **Completed:** - CugaSupervisorState with supervisor_chat_messages and variable management - CugaSupervisor subgraph with all nodes - A2A protocol implementation (HTTP, SSE, WebSocket, STDIO) - CugaSupervisorNode wrapper - CugaSupervisor SDK class with from_yaml() and invoke() - YAML configuration loader - E2E tests for SDK, multi-agent coordination, and YAML config ## Future Enhancements 1. Dynamic agent discovery and registration 2. Agent capability learning and optimization 3. Cross-agent variable sharing with permissions 4. Supervisor learning from past delegations 5. Support for nested supervisors (supervisor of supervisors) 6. A2A protocol extensions for streaming responses 7. Agent health monitoring and auto-recovery 8. Prompt templates for supervisor nodes 9. Full MCP server integration in YAML loader 10. Tool loading from YAML definitions ## Integration Points 1. **Main Graph** (`graph.py`): Supervisor subgraph can be integrated similar to CugaLiteSubgraph (optional) 2. **SDK** (`sdk.py`): CugaSupervisor class available alongside CugaAgent 3. **Tool Provider**: Reuses existing tool provider interfaces 4. **State Management**: Compatible with AgentState for seamless integration 5. **Variables Manager**: Reuses StateVariablesManager for supervisor variable management ## Considerations 1. **State Compatibility**: Supervisor state extends AgentState for seamless integration 2. **Supervisor Chat Messages**: Critical for maintaining conversation context and enabling response mode 3. **Error Handling**: Robust error handling for agent failures and timeouts 4. **Resource Management**: Efficient resource usage when running multiple agents 5. **Security**: Proper isolation between agents and secure A2A communication 6. **Observability**: Logging and monitoring for supervisor operations 7. **Variable Isolation**: Each agent's variables are isolated, with supervisor aggregating as needed 8. **Message Isolation**: Sub-agents maintain their own chat_messages, while supervisor_chat_messages tracks the high-level conversation ================================================ FILE: docs/examples/cuga_as_mcp/.python-version ================================================ 3.12 ================================================ FILE: docs/examples/cuga_as_mcp/README.md ================================================ # CUGA as MCP Server This example demonstrates how to run CUGA (Computer Using Generalist Agent) as a Model Context Protocol (MCP) server, enabling it to be used as a tool by other applications. ## What is CUGA? CUGA is an autonomous AI agent that can: - 🤖 **Perform web actions** with intelligent planning - 🔗 **Connect to APIs** seamlessly - 📱 **Automate repetitive tasks** on websites - 🧠 **Decompose complex tasks** into manageable steps - 🎯 **Execute multi-step workflows** autonomously ## What is MCP? Model Context Protocol (MCP) is a standard that allows AI applications to expose their capabilities as tools that other applications can use. By running CUGA as an MCP server, you can integrate its powerful automation capabilities into other systems. ## How This Example Works This example creates an MCP server that exposes CUGA's task execution capabilities with multiple execution modes: 1. **Initializes CUGA Agent** - Sets up the core CUGA system 2. **Configures Environment Variables** - Sets up MCP servers file and execution modes 3. **Exposes Multiple Tools** - Provides three different execution modes: - `run_api_task` - API-only mode (headless, no GUI) - `run_web_task` - Web mode (browser with GUI interaction) - `run_hybrid_task` - Hybrid mode (combination of API and web) 4. **Handles Task Execution** - Processes tasks based on selected mode and returns results ## Quick Start From the repository root, install dependencies once (this repo has a single root `uv.lock`; see **Dependency lockfile** in [CONTRIBUTING.md](../../../CONTRIBUTING.md)): ```bash cd /path/to/cuga-agent uv sync cd docs/examples/cuga_as_mcp ``` 1. **Configure LLM Access:** - Follow the [main README LLM configuration section](../../README.md#llm-configuration---advanced-options) for setup instructions - Copy the environment file: `cp .env.example .env` - Add your API key to the `.env` file 2. **Start the API Registry (in a separate terminal):** ```bash export MCP_SERVERS_FILE=./mcp_servers.yaml uv run --project ../../../ registry ``` 3. **Start the MCP Server:** ```bash uv run --project ../../../ main.py ``` 4. **The server will:** - Start on `http://localhost:8000/sse` - Configure MCP servers from `mcp_servers.yaml` - Expose three execution modes: - `run_api_task` - Headless automation (API mode) - `run_web_task` - Browser GUI automation (Web mode) - `run_hybrid_task` - Combined API and web automation (Hybrid mode) 5. **Use from another application:** ```python # API Mode - Headless execution result = await mcp_client.call_tool("run_api_task", { "task": "get my top account by revenue" }) # Web Mode - Browser GUI execution result = await mcp_client.call_tool("run_web_task", { "task": "navigate to dashboard and get revenue data", "start_url": "https://example.com" }) # Hybrid Mode - Combined execution result = await mcp_client.call_tool("run_hybrid_task", { "task": "analyze data from API and web interface", "start_url": "https://example.com" }) ``` ## Example Tasks by Mode ### API Mode (`run_api_task`) Perfect for data retrieval and API interactions: - "Get my top account by revenue from digital sales" - "List all accounts with revenue above $100k" - "Find the account with the highest growth rate" - "Retrieve customer data from CRM API" ### Web Mode (`run_web_task`) Ideal for browser-based interactions: - "Navigate to dashboard and download report" - "Fill out contact form on website" - "Extract data from web tables" - "Automate login and data entry workflows" ### Hybrid Mode (`run_hybrid_task`) Combines API and web capabilities: - "Get API data and cross-reference with web dashboard" - "Validate API results against web interface" - "Sync data between web form and API endpoint" - "Perform comprehensive data analysis across platforms" ## Integration This MCP server can be integrated with: - Claude Desktop - Other AI applications that support MCP - Custom applications using MCP clients ## Environment Variables The server automatically configures the following environment variables: - `MCP_SERVERS_FILE` - Path to MCP servers configuration file - `DYNA_CONF_ADVANCED_FEATURES__MODE` - Execution mode (`api`, `web`, or `hybrid`) ## Requirements - CUGA backend running - Digital Sales API accessible (if using API features) - Python 3.12+ - Required dependencies installed - Browser environment (for web and hybrid modes) ## Files - `main.py` - The MCP server implementation with three execution modes - `mcp_servers.yaml` - MCP servers configuration file - `README.md` - This documentation ## Architecture ``` ┌─────────────────┐ ┌──────────────────┐ ┌─────────────────┐ │ MCP Client │───▶│ CUGA MCP │───▶│ CUGA Agent │ │ │ │ Server │ │ │ └─────────────────┘ └──────────────────┘ └─────────────────┘ │ │ ▼ ▼ ┌──────────────┐ ┌─────────────────┐ │ Environment │ │ Browser/API │ │ Variables │ │ Execution │ └──────────────┘ └─────────────────┘ ``` ================================================ FILE: docs/examples/cuga_as_mcp/main.py ================================================ from cuga.backend.activity_tracker.tracker import ActivityTracker from cuga.backend.cuga_graph.utils.controller import AgentRunner as CugaAgent, ExperimentResult as AgentResult from fastmcp import FastMCP import os # Initialize components tracker = ActivityTracker() mcp = FastMCP("CUGA Running as MCP 🚀") # Set the environment file to the .env file in the current directory os.environ["ENV_FILE"] = os.path.join(os.path.dirname(__file__), ".env") os.environ["MCP_SERVERS_FILE"] = os.path.join(os.path.dirname(__file__), "mcp_servers.yaml") @mcp.tool async def run_api_task(task: str) -> str: """ Run a task using API mode only - headless browser automation without GUI interaction Args: task: The task description to execute Returns: str: The result of the task execution """ os.environ["DYNA_CONF_ADVANCED_FEATURES__MODE"] = "api" cuga_agent = CugaAgent(browser_enabled=False) await cuga_agent.initialize_appworld_env() task_result: AgentResult = await cuga_agent.run_task_generic(eval_mode=False, goal=task) return task_result.answer @mcp.tool async def run_web_task(task: str, start_url: str) -> str: """ Run a task using web mode only - browser automation with GUI interaction Args: task: The task description to execute start_url: The starting URL for the task Returns: str: The result of the task execution """ os.environ["DYNA_CONF_ADVANCED_FEATURES__MODE"] = "web" cuga_agent = CugaAgent(browser_enabled=False) try: await cuga_agent.initialize_freemode_env(start_url=start_url, interface_mode="browser_only") task_result: AgentResult = await cuga_agent.run_task_generic(eval_mode=False, goal=task) except Exception: if hasattr(cuga_agent, "env") and cuga_agent.env: cuga_agent.env.close() raise else: cuga_agent.env.close() return task_result.answer @mcp.tool async def run_hybrid_task(task: str, start_url: str) -> str: """ Run a task using hybrid mode - combination of API and web interaction Args: task: The task description to execute start_url: The starting URL for the task Returns: str: The result of the task execution """ os.environ["DYNA_CONF_ADVANCED_FEATURES__MODE"] = "hybrid" cuga_agent = CugaAgent(browser_enabled=False) try: await cuga_agent.initialize_freemode_env(start_url=start_url, interface_mode="browser_only") task_result: AgentResult = await cuga_agent.run_task_generic(eval_mode=False, goal=task) except Exception: if hasattr(cuga_agent, "env") and cuga_agent.env: cuga_agent.env.close() raise else: cuga_agent.env.close() return task_result.answer def main(): """Main function to run the MCP server.""" print("Starting FastMCP server...") print("Server must be running before starting the main application.") mcp.run(transport="sse") if __name__ == "__main__": main() ================================================ FILE: docs/examples/cuga_as_mcp/mcp_servers.yaml ================================================ # OpenAPI direct integration services: - digital_sales: url: https://digitalsales.19pc1vtv090u.us-east.codeengine.appdomain.cloud/openapi.json description: This Digital Sales Skills API provides sales professionals with a unified interface to access territory accounts, retrieve client information from TPP, manage job roles, and synchronize contacts between Zoominfo and Salesloft—streamlining the process of managing customer relationships and sales data across multiple platforms. # File System MCP Server # mcpServers: # filesystem: # command: "npx" # args: ["-y", "@modelcontextprotocol/server-filesystem", "./cuga_workspace"] # description: "Standard file system operations for workspace management" # Digital Sales MCP Server make sure to run before uv run digital_sales_mcp # mcpServers: # digital_sales: # url: http://127.0.0.1:8000/sse # description: Digital Sales API ================================================ FILE: docs/examples/cuga_as_mcp/pyproject.toml ================================================ [project] name = "test-cuga-package-2" version = "0.1.0" description = "Add your description here" readme = "README.md" license = "Apache-2.0" requires-python = ">=3.12, <3.14" dependencies = [ "cuga", "fastmcp>=3.2.0", "httpx", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.uv.sources] cuga = { path = "../../../", editable = true } ================================================ FILE: docs/examples/cuga_as_mcp/tools_loader.py ================================================ ================================================ FILE: docs/examples/cuga_with_runtime_tools/.gitignore ================================================ logging ================================================ FILE: docs/examples/cuga_with_runtime_tools/.python-version ================================================ 3.12 ================================================ FILE: docs/examples/cuga_with_runtime_tools/README.md ================================================ # CUGA Tool Integration Examples This directory demonstrates **three types of tool integrations** that CUGA supports, showcasing how to connect different tool types to create powerful AI agents. ## 🎯 **Goal of This Example** This example shows how CUGA can seamlessly integrate multiple tool types in a single workflow. The `main.py` demonstrates a complex task that uses: 1. **OpenAPI Tools** - Access external REST APIs (Digital Sales) 2. **MCP Tools** - File system operations via Model Context Protocol 3. **LangChain Tools** - Python functions for email operations **Example Task**: *"Get top account by revenue from digital sales, send an email to the account owner, and save it to filesystem"* ## 🔄 **Two Ways to Provide Tools to CUGA** CUGA supports two distinct approaches for tool integration, each suited for different use cases: ### 1. **Registry-Based Tools** (Separate Process) Tools that run in the **MCP Registry**, a separate process triggered by CUGA: - **OpenAPI Tools** - REST APIs via OpenAPI specifications - **MCP Tools** - Model Context Protocol servers (stdio/http/sse) **When to Use:** - Shared tools across CUGA instances - Persistent external services/APIs - OpenAPI or MCP configuration in `mcp_servers.yaml` **How it Works:** ```bash # From docs/examples/cuga_with_runtime_tools after `uv sync` at repo root: uv run --project ../../../ registry # CUGA connects to registry at runtime ``` ### 2. **Runtime LangChain Tools** (In-Process) LangChain tools passed directly to CUGA at runtime: **When to Use:** - CUGA is a **component in another system** (embedded mode) - Dynamic tools that change based on application state - Custom Python functions specific to your application - Rapid prototyping without registry configuration - No need for the full registry process **How it Works:** ```python from cuga.backend.cuga_graph.utils.controller import AgentRunner as CugaAgent from langchain_example_tool import tools as gmail_dummy_tools # Initialize CUGA agent cuga_agent = CugaAgent(browser_enabled=False) await cuga_agent.initialize_appworld_env() # Pass runtime tools directly to CUGA tools = gmail_dummy_tools for tool in tools: tool.metadata = {'server_name': "gmail"} tracker.set_tools(tools) # Run task with runtime tools task_result = await cuga_agent.run_task_generic(eval_mode=False, goal=task) ``` **Key Advantage**: Ideal when CUGA is integrated into a larger system where you need to pass runtime tools without managing a separate registry process. ## 🔧 **Three Types of Tools in `mcp_servers.yaml`** ### 1. **OpenAPI Tools** (Direct API Integration) ```yaml services: - digital_sales: url: https://digitalsales.19pc1vtv090u.us-east.codeengine.appdomain.cloud/openapi.json description: Digital Sales Skills API for territory accounts and client information ``` - **Purpose**: Connect to REST APIs via OpenAPI specifications - **Use Case**: External services, existing APIs, third-party integrations - **Example**: Digital Sales API for account management ### 2. **MCP Tools** (Model Context Protocol) MCP tools support **three transport types** following [FastMCP patterns](https://gofastmcp.com/clients/transports): #### **STDIO Transport** (Default for Local Commands) ```yaml mcpServers: filesystem: command: npx args: ["-y", "@modelcontextprotocol/server-filesystem", "./cuga_workspace"] transport: stdio # Optional: auto-detected env: LOG_LEVEL: INFO description: Standard file system operations ``` - **Best For**: Local development, file operations, subprocess tools - **Features**: Client manages server lifecycle, environment isolation #### **HTTP Transport** (Recommended for Production) ```yaml mcpServers: production_api: url: https://api.example.com/mcp transport: http description: Production MCP server ``` - **Best For**: Remote services, production deployments, scalability - **Features**: Efficient bidirectional streaming, already-running servers #### **SSE Transport** (Legacy) ```yaml mcpServers: legacy_api: url: https://api.example.com/sse transport: sse # Auto-detected from /sse in URL description: Legacy SSE server ``` - **Best For**: Backward compatibility - **Features**: Server-Sent Events, maintained for legacy systems **Transport Auto-Detection**: When `transport` is not specified: - Has `command` → STDIO - URL contains `/sse` → SSE - URL without `/sse` → HTTP ### 3. **LangChain Tools** (Python Functions) Defined in `langchain_example_tool.py`: ```python # Gmail tools loaded at runtime read_tool = StructuredTool.from_function(read_emails) send_tool = StructuredTool.from_function(send_email) tools = [read_tool, send_tool] ``` - **Purpose**: Python functions as tools, runtime tools, rapid prototyping - **Use Case**: Custom logic, data processing. - **Example**: Gmail email operations with dummy data ## 🚀 **Working Example in `main.py`** The main application demonstrates all three tool types working together: ```python # Task combines all three tool types task = "Get top account by revenue from my accounts in digital sales, then send an email to the account owner, and save it to to file in my filesystem under cuga_workspace/email_sent.md" # 1. Uses Digital Sales API (OpenAPI) to get account data # 2. Uses Gmail tools (LangChain) to send email # 3. Uses filesystem (MCP) to save the email content ``` ## 📋 **Prerequisites** - Python 3.12+ - [uv](https://docs.astral.sh/uv/) package manager - Node.js (for MCP filesystem server) ## 🛠️ **Setup Instructions** ### 1. **Install Dependencies** This repository uses one lockfile at the root. From the repo root: ```bash cd /path/to/cuga-agent uv sync cd docs/examples/cuga_with_runtime_tools ``` See **Dependency lockfile** in [CONTRIBUTING.md](../../../CONTRIBUTING.md) for why there is no separate `uv.lock` in this folder. Create a local `.env` or copy the main `.env` file: ```bash cp ../../../.env .env ``` ### 2. **Start MCP Registry** (for OpenAPI and MCP tools) ```bash export MCP_SERVERS_FILE=./mcp_servers.yaml uv run --project ../../../ registry ``` ### 3. **Run the Complete Example** In a second terminal, from this same directory: ```bash uv run --project ../../../ main.py ``` ### 4. **Kill Registry Process** (if needed) - **macOS/Linux:** ```bash lsof -ti:8001 | xargs kill -9 ``` - **Windows:** ```bash netstat -ano | findstr :8001 taskkill /PID /F ``` ## 📁 **File Structure** ``` docs/examples/cuga_with_runtime_tools/ ├── main.py # Main example showing all tool types ├── langchain_example_tool.py # LangChain Gmail tools (dummy data) ├── fast_mcp_example.py # MCP server example ├── mcp_servers.yaml # Configuration for OpenAPI & MCP tools ├── cuga_workspace/ # Workspace for file operations │ └── email_sent.md # Example output file └── README.md # This file ``` ## 🔍 **What Happens When You Run `main.py`** 1. **Initialize CUGA Agent** with all three tool types 2. **Load OpenAPI tools** from Digital Sales API via MCP registry 3. **Load MCP tools** for filesystem operations 4. **Load LangChain tools** for Gmail operations (runtime) 5. **Execute complex task** that orchestrates all tool types: - Query Digital Sales API for top revenue account - Generate and send email using Gmail tools - Save email content to filesystem using MCP tools ## 🎯 **Key Benefits Demonstrated** - **Flexibility**: Mix different tool types in one workflow - **Scalability**: Add new tools without code changes - **Reusability**: Tools can be used across different tasks - **Integration**: Seamless communication between tool types This example showcases CUGA's powerful ability to create unified AI workflows that span multiple systems and protocols. ## 🚇 **MCP Transport Types Guide** ### When to Use Each Transport | Transport | Use Case | Example | |-----------|----------|---------| | **STDIO** | Local development, file operations | File system, local scripts | | **HTTP** | Production, remote services | Cloud APIs, microservices | | **SSE** | Legacy compatibility | Existing SSE infrastructure | ### Transport Configuration Examples **Local Development Setup (STDIO)** ```yaml mcpServers: local_tools: command: python args: ["./my_tools.py", "--verbose"] env: DEBUG: "true" API_KEY: ${YOUR_API_KEY} ``` **Production Setup (HTTP)** ```yaml mcpServers: prod_api: url: https://api.example.com/mcp transport: http ``` **Legacy System (SSE)** ```yaml mcpServers: legacy: url: https://legacy.example.com/sse transport: sse ``` ### Environment Variables (STDIO Only) STDIO transports run in isolated environments. Pass environment variables explicitly: ```yaml mcpServers: secure_server: command: python args: ["server.py"] env: API_KEY: your_secret_key DATABASE_URL: postgresql://localhost/db LOG_LEVEL: INFO ``` **Note**: HTTP and SSE transports connect to already-running servers that manage their own environment. ## 📚 **Additional Resources** - [FastMCP Transport Documentation](https://gofastmcp.com/clients/transports) - [MCP Transport Types Guide](../../../src/cuga/backend/tools_env/registry/docs/MCP_TRANSPORTS.md) - [Registry Configuration](../../../src/cuga/backend/tools_env/registry/README.md) ================================================ FILE: docs/examples/cuga_with_runtime_tools/fast_mcp_example.py ================================================ """ FastMCP Example - Digital Sales API Integration This example demonstrates how to create an MCP server from an OpenAPI specification. The server must be running before starting the main application. """ import httpx from fastmcp import FastMCP from fastmcp.server.openapi import ( HTTPRoute, OpenAPITool, OpenAPIResource, OpenAPIResourceTemplate, ) # Configuration API_BASE_URL = "https://digitalsales.19pc1vtv090u.us-east.codeengine.appdomain.cloud" OPENAPI_SPEC_URL = f"{API_BASE_URL}/openapi.json" def customize_components( route: HTTPRoute, component: OpenAPITool | OpenAPIResource | OpenAPIResourceTemplate, ) -> None: """ Customize MCP components by adding response schema information to tool descriptions. Args: route: The HTTP route being processed component: The MCP component to customize """ if isinstance(component, OpenAPITool): print(component.output_schema) component.description = f"{component.description}\nresponse schema: ```\n{component.output_schema}```" def create_mcp_server() -> FastMCP: """ Create and configure the MCP server from OpenAPI specification. Returns: FastMCP: Configured MCP server instance """ # Create HTTP client for API communication client = httpx.AsyncClient(base_url=API_BASE_URL) # Load OpenAPI specification spec = httpx.get(OPENAPI_SPEC_URL).json() # Create MCP server from OpenAPI spec mcp = FastMCP.from_openapi( openapi_spec=spec, client=client, mcp_component_fn=customize_components, ) return mcp def main(): """Main function to run the MCP server.""" mcp = create_mcp_server() print("Starting FastMCP server...") print("Server must be running before starting the main application.") mcp.run(transport="sse") if __name__ == "__main__": main() ================================================ FILE: docs/examples/cuga_with_runtime_tools/langchain_example_tool.py ================================================ from langchain_core.tools import StructuredTool from pydantic import BaseModel from typing import List, Optional from datetime import datetime, timedelta import uuid class Email(BaseModel): """Model for an individual email""" id: str sender: str recipient: str subject: str body: str timestamp: datetime is_read: bool = False class EmailsResponse(BaseModel): """Response model containing list of emails""" emails: List[Email] total_emails: int class SendEmailRequest(BaseModel): """Request model for sending emails""" recipient: str subject: str body: str class SendEmailResponse(BaseModel): """Response model for sending emails""" success: bool message: str email_id: Optional[str] = None # Dummy email storage DUMMY_EMAILS = [ Email( id="email_001", sender="john.doe@company.com", recipient="user@gmail.com", subject="Weekly Team Meeting", body="Hi there! Just a reminder about our weekly team meeting scheduled for Friday at 2 PM. Please come prepared with your project updates.", timestamp=datetime.now() - timedelta(hours=2), is_read=False, ), Email( id="email_002", sender="support@service.com", recipient="user@gmail.com", subject="Your Account Has Been Updated", body="We've successfully updated your account settings as requested. If you have any questions, please don't hesitate to contact our support team.", timestamp=datetime.now() - timedelta(days=1), is_read=True, ), Email( id="email_003", sender="newsletter@techblog.com", recipient="user@gmail.com", subject="Top 10 AI Trends for 2024", body="Discover the latest AI trends that are shaping the future of technology. From machine learning breakthroughs to ethical AI considerations.", timestamp=datetime.now() - timedelta(days=2), is_read=False, ), Email( id="email_004", sender="hr@company.com", recipient="user@gmail.com", subject="Holiday Schedule Announcement", body="Please find attached the holiday schedule for the upcoming quarter. Note the changes to the Thanksgiving week schedule.", timestamp=datetime.now() - timedelta(days=3), is_read=True, ), ] def read_emails(limit: int = 10, unread_only: bool = False) -> EmailsResponse: """Read emails from Gmail inbox with dummy data""" emails = DUMMY_EMAILS.copy() if unread_only: emails = [email for email in emails if not email.is_read] # Sort by timestamp (newest first) emails.sort(key=lambda x: x.timestamp, reverse=True) # Apply limit emails = emails[:limit] return EmailsResponse(emails=emails, total_emails=len(emails)) def send_email(recipient: str, subject: str, body: str) -> SendEmailResponse: """Send an email using Gmail with dummy data""" try: # Generate a unique email ID email_id = f"email_{uuid.uuid4().hex[:8]}" # Create the email object new_email = Email( id=email_id, sender="user@gmail.com", recipient=recipient, subject=subject, body=body, timestamp=datetime.now(), is_read=True, # Sent emails are marked as read ) # In a real implementation, this would send the email # For now, we'll just add it to our dummy storage DUMMY_EMAILS.insert(0, new_email) return SendEmailResponse( success=True, message=f"Email sent successfully to {recipient}", email_id=email_id ) except Exception as e: return SendEmailResponse(success=False, message=f"Failed to send email: {str(e)}") read_tool = StructuredTool.from_function(read_emails) send_tool = StructuredTool.from_function(send_email) tools = [read_tool, send_tool] ================================================ FILE: docs/examples/cuga_with_runtime_tools/main.py ================================================ """ Main application for running tasks with CugaAgent and MCP integration. This example demonstrates how to use the CugaAgent with MCP (Model Context Protocol) to perform tasks on web applications. """ import os os.environ["ENV_FILE"] = os.path.join(os.path.dirname(__file__), ".env") os.environ["DYNA_CONF_ADVANCED_FEATURES__MODE"] = "api" os.environ["DYNA_CONF_FEATURES__LOCAL_SANDBOX"] = "true" import asyncio from cuga.backend.activity_tracker.tracker import ActivityTracker from cuga.backend.cuga_graph.utils.controller import AgentRunner as CugaAgent, ExperimentResult as AgentResult from loguru import logger from langchain_example_tool import tools as gmail_dummy_tools # Initialize components tracker = ActivityTracker() cuga_agent = None async def run_task(task: str) -> AgentResult: global cuga_agent if not cuga_agent: cuga_agent = CugaAgent(browser_enabled=False) await cuga_agent.initialize_appworld_env() tools = gmail_dummy_tools for tool in tools: tool.metadata = {'server_name': "gmail"} tracker.set_tools(tools) task_result: AgentResult = await cuga_agent.run_task_generic(eval_mode=False, goal=task) return task_result async def perform_task(task: str) -> str: try: agent_result: AgentResult = await run_task(task) return agent_result.answer except Exception as e: logger.exception(f"Task execution failed: {e}") return "Task failed due to an error" async def main(): """Main entry point for the application.""" task = "Get top account by revenue from my accounts in digital sales, then send an email to the account owner, and save it to to file in my filesystem under cuga_workspace/email_sent.md" result = await perform_task(task) print(f"Task Result: {result}") if __name__ == "__main__": asyncio.run(main()) ================================================ FILE: docs/examples/cuga_with_runtime_tools/mcp_servers.yaml ================================================ # CUGA Tool Integration Configuration # This file demonstrates three types of tool integrations: # 1. OpenAPI Tools (REST APIs) # 2. MCP Tools (Model Context Protocol) with multiple transport types # ============================================ # 1. OpenAPI Tools (Legacy Services Format) # ============================================ services: - digital_sales: url: https://digitalsales.19pc1vtv090u.us-east.codeengine.appdomain.cloud/openapi.json description: This Digital Sales Skills API provides sales professionals with a unified interface to access territory accounts, retrieve client information from TPP, manage job roles, and synchronize contacts between Zoominfo and Salesloft—streamlining the process of managing customer relationships and sales data across multiple platforms. # ============================================ # 2. MCP Servers with Transport Types # ============================================ # Supports three transport types: # - stdio: Local command-based servers (default for commands) # - sse: Server-Sent Events (legacy, auto-detected from /sse in URL) # - http: Streamable HTTP (recommended for production) mcpServers: # STDIO Transport - Local file system operations filesystem: command: npx args: ["-y", "@modelcontextprotocol/server-filesystem", "./cuga_workspace"] transport: stdio # Optional: auto-detected when command is present description: Standard file system operations for workspace management env: LOG_LEVEL: INFO # Environment variables for STDIO transport # Additional MCP Server Examples: # HTTP Transport (Recommended for production) # mcpServers: # digital_sales_mcp: # url: https:///mcp # transport: http # description: Production Digital Sales MCP server with HTTP transport # SSE Transport (Legacy) # mcpServers: # digital_sales_sse: # url: https://digitalsales-mcp.19pc1vtv090u.us-east.codeengine.appdomain.cloud/sse # transport: sse # Optional: auto-detected from /sse in URL # description: Digital Sales MCP server with SSE transport # Local Python STDIO server # mcpServers: # local_python_server: # command: python # args: ["./fast_mcp_example.py"] # transport: stdio # env: # DEBUG: "true" # API_KEY: your_key_here # description: Local Python MCP server example ================================================ FILE: docs/examples/cuga_with_runtime_tools/pyproject.toml ================================================ [project] name = "test-cuga-package" version = "0.1.0" description = "Add your description here" readme = "README.md" license = "Apache-2.0" requires-python = ">=3.12, <3.14" dependencies = [ "cuga", "fastmcp>=3.2.0", "httpx", ] [build-system] requires = ["hatchling"] build-backend = "hatchling.build" [tool.uv.sources] cuga = { path = "../../../", editable = true } ================================================ FILE: docs/examples/demo_apps/setup/README.md ================================================ # CUGA Demo Setup ## Installation ```bash uvx --from git+https://github.com/cuga-project/cuga-agent.git#subdirectory=docs/examples/demo_apps/setup create-cuga-demo [--cache] [--local] ``` ## Local Development ```bash uv run create-cuga-demo [--cache] [--local] # or CUGA_LOCAL=1 CUGA_SOURCE_DIR=/path/to/cuga-agent/src/cuga/demo_tools uvx --from git+https://github.com/cuga-project/cuga-agent.git#subdirectory=docs/examples/demo_apps/setup create-cuga-demo [--cache] ``` ```bash CUGA_LOCAL=1 CUGA_SOURCE_DIR=/Users/you/cuga-agent/src/cuga/demo_tools uvx --from /path/to/cuga-agent/docs/examples/demo_apps/setup create-cuga-demo ``` ## Environment Variables - `CUGA_LOCAL=1` - Use local demo apps instead of git installs - `CUGA_SOURCE_DIR=/path/to/src/cuga/demo_tools` - Path to bundled demo MCP projects (when running from a uvx temp directory) Demo app sources live in **`src/cuga/demo_tools/`** in the repository. ================================================ FILE: docs/examples/demo_apps/setup/cli.py ================================================ #!/usr/bin/env python3 """ CUGA Demo Setup CLI A one-command solution to set up and run the CUGA Agent demo """ import os import sys import subprocess import time import signal import atexit from pathlib import Path from typing import Optional, List, Tuple import questionary import argparse # ANSI color codes for beautiful output class Colors: HEADER = '\033[95m' OKBLUE = '\033[94m' OKCYAN = '\033[96m' OKGREEN = '\033[92m' WARNING = '\033[93m' FAIL = '\033[91m' ENDC = '\033[0m' BOLD = '\033[1m' UNDERLINE = '\033[4m' # Track running processes for cleanup running_processes: List[subprocess.Popen] = [] def _default_demo_tools_root() -> Path: """Same as ``cuga.config.DEMO_TOOLS_ROOT`` (honours ``CUGA_PACKAGE_ROOT``).""" from cuga.config import DEMO_TOOLS_ROOT return DEMO_TOOLS_ROOT def cleanup(): """Clean up all running processes on exit""" if running_processes: print(f"\n{Colors.WARNING}🧹 Cleaning up processes...{Colors.ENDC}") for proc in running_processes: try: proc.terminate() proc.wait(timeout=3) except Exception: try: proc.kill() except Exception: pass atexit.register(cleanup) def signal_handler(sig, frame): """Handle Ctrl+C gracefully""" print(f"\n{Colors.WARNING}👋 Shutting down gracefully...{Colors.ENDC}") cleanup() sys.exit(0) signal.signal(signal.SIGINT, signal_handler) def print_header(): """Print a beautiful header""" header = f""" {Colors.BOLD}{Colors.OKCYAN} ╔═══════════════════════════════════════════════════════════╗ ║ ║ ║ 🚀 CUGA Agent Demo Setup ║ ║ ║ ║ Setting up your agentic workflow environment ║ ║ ║ ╚═══════════════════════════════════════════════════════════╝ {Colors.ENDC} """ print(header) def print_step(step_num: int, total: int, message: str): """Print a step with nice formatting""" print(f"\n{Colors.BOLD}{Colors.OKBLUE}[{step_num}/{total}] {message}{Colors.ENDC}") def print_success(message: str): """Print a success message""" print(f"{Colors.OKGREEN}✓ {message}{Colors.ENDC}") def print_error(message: str): """Print an error message""" print(f"{Colors.FAIL}✗ {message}{Colors.ENDC}") def print_warning(message: str): """Print a warning message""" print(f"{Colors.WARNING}⚠ {message}{Colors.ENDC}") def print_info(message: str): """Print an info message""" print(f"{Colors.OKCYAN}ℹ {message}{Colors.ENDC}") def is_port_in_use(port: int) -> Optional[Tuple[int, str]]: """Check if a port is in use and return (PID, process_name) if found""" import platform system = platform.system() if system == "Windows": try: result = subprocess.run(['netstat', '-ano'], capture_output=True, text=True, timeout=3) if result.returncode == 0: for line in result.stdout.split('\n'): if f':{port}' in line and 'LISTENING' in line: parts = line.split() if len(parts) >= 5: try: pid = int(parts[-1]) tasklist_result = subprocess.run( ['tasklist', '/FI', f'PID eq {pid}', '/FO', 'CSV', '/NH'], capture_output=True, text=True, timeout=2, ) if tasklist_result.returncode == 0 and tasklist_result.stdout.strip(): process_name = tasklist_result.stdout.split(',')[0].strip('"') return (pid, process_name) return (pid, "Unknown") except (ValueError, IndexError, subprocess.TimeoutExpired): continue except (subprocess.TimeoutExpired, FileNotFoundError): pass else: try: result = subprocess.run( ['lsof', '-i', f':{port}', '-sTCP:LISTEN', '-t', '-n', '-P'], capture_output=True, text=True, timeout=2, ) if result.returncode == 0 and result.stdout.strip(): pid_str = result.stdout.strip().split('\n')[0] try: pid = int(pid_str) proc_result = subprocess.run( ['ps', '-p', str(pid), '-o', 'comm='], capture_output=True, text=True, timeout=1 ) process_name = proc_result.stdout.strip() if proc_result.returncode == 0 else "Unknown" return (pid, process_name) except (ValueError, subprocess.TimeoutExpired): pass except (subprocess.TimeoutExpired, FileNotFoundError): pass return None def kill_process(pid: int) -> bool: """Kill a process by PID""" import platform system = platform.system() if system == "Windows": try: result = subprocess.run( ['taskkill', '/F', '/PID', str(pid)], capture_output=True, text=True, timeout=5 ) return result.returncode == 0 except (subprocess.TimeoutExpired, FileNotFoundError) as e: print_error(f"Failed to kill process {pid}: {e}") return False else: try: os.kill(pid, signal.SIGTERM) for _ in range(10): time.sleep(0.3) try: os.kill(pid, 0) except OSError: return True try: os.kill(pid, signal.SIGKILL) return True except OSError: return False except OSError as e: if e.errno == 3: return True print_error(f"Failed to kill process {pid}: {e}") return False def check_and_handle_ports(include_email: bool = False) -> bool: """Check if required ports are available and offer to kill processes if needed""" required_ports = {8007: "CUGA Agent", 8111: "CRM MCP Server", 8112: "File System MCP Server"} if include_email: required_ports.update({8000: "Email MCP Server", 1025: "Email SMTP Sink"}) ports_in_use = {} for port, service in required_ports.items(): result = is_port_in_use(port) if result: pid, process_name = result ports_in_use[port] = (service, pid, process_name) if not ports_in_use: return True print(f"\n{Colors.BOLD}{Colors.WARNING}⚠️ Port Availability Check{Colors.ENDC}\n") print(f"{Colors.OKCYAN}This demo requires the following ports to be available:{Colors.ENDC}") print(f" • {Colors.BOLD}Port 8007{Colors.ENDC} - CUGA Agent") print(f" • {Colors.BOLD}Port 8111{Colors.ENDC} - CRM MCP Server") print(f" • {Colors.BOLD}Port 8112{Colors.ENDC} - File System MCP Server\n") print(f"{Colors.WARNING}The following ports are currently in use:{Colors.ENDC}\n") for port, (service, pid, process_name) in ports_in_use.items(): print( f" • {Colors.BOLD}Port {port}{Colors.ENDC} ({service}) - used by {Colors.BOLD}{process_name} (PID: {pid}){Colors.ENDC}" ) print() choices = [ questionary.Choice("🔧 Kill the processes and continue", value="kill"), questionary.Choice("❌ Cancel setup", value="cancel"), ] answer = questionary.select("What would you like to do?", choices=choices).ask() if answer == "cancel": print(f"\n{Colors.WARNING}Setup cancelled by user.{Colors.ENDC}") return False if answer == "kill": print(f"\n{Colors.BOLD}Stopping processes...{Colors.ENDC}") all_killed = True for port, (service, pid, process_name) in ports_in_use.items(): if kill_process(pid): print_success(f"Stopped {process_name} (PID: {pid}) on port {port}") else: print_error(f"Failed to stop {process_name} (PID: {pid}) on port {port}") all_killed = False if not all_killed: print_warning("\nSome processes could not be stopped. You may need to stop them manually.") retry = questionary.confirm("Do you want to continue anyway?").ask() return retry time.sleep(1) return True return False def check_prerequisites() -> bool: """Check if all prerequisites are installed""" print_step(1, 6, "Checking prerequisites") all_good = True # Check for Python try: python_version = sys.version_info if python_version.major >= 3 and python_version.minor >= 8: print_success( f"Python {python_version.major}.{python_version.minor}.{python_version.micro} installed" ) else: print_error(f"Python 3.8+ required, found {python_version.major}.{python_version.minor}") all_good = False except Exception as e: print_error(f"Python check failed: {e}") all_good = False # Check for uvx try: result = subprocess.run(['uvx', '--version'], capture_output=True, text=True, timeout=5) if result.returncode == 0: print_success(f"uvx installed: {result.stdout.strip()}") else: print_error("uvx not found or not working properly") print_info("Install with: pip install uv") all_good = False except FileNotFoundError: print_error("uvx not found in PATH") print_info("Install with: pip install uv") all_good = False except Exception as e: print_error(f"uvx check failed: {e}") all_good = False # Check for git try: result = subprocess.run(['git', '--version'], capture_output=True, text=True, timeout=5) if result.returncode == 0: print_success(f"git installed: {result.stdout.strip()}") else: print_error("git not found or not working properly") all_good = False except FileNotFoundError: print_error("git not found in PATH") all_good = False except Exception as e: print_error(f"git check failed: {e}") all_good = False return all_good def create_workspace(base_path: Optional[str] = None) -> Path: """Create the workspace directory and return its absolute path""" print_step(2, 6, "Setting up workspace") if base_path: workspace = Path(base_path).resolve() else: workspace = Path.cwd() / "cuga_workspace" workspace = workspace.resolve() try: workspace.mkdir(parents=True, exist_ok=True) print_success(f"Workspace created at: {Colors.BOLD}{workspace}{Colors.ENDC}") return workspace except Exception as e: print_error(f"Failed to create workspace: {e}") sys.exit(1) def create_contacts_file(workspace: Path): """Create the contacts.txt file with sample emails""" print_step(3, 6, "Creating contacts file") contacts_content = """sarah.bell@gammadeltainc.partners.org sharon.jimenez@upsiloncorp.innovation.org ruth.ross@sigmasystems.operations.com dorothy.richardson@nextgencorp.gmail.com james.richardson@technovate.com michael.torres@pinnacle-solutions.net emma.larsson@nexus-digital.co""" contacts_file = workspace / "contacts.txt" try: contacts_file.write_text(contacts_content + "\n") print_success("contacts.txt created with 7 sample email addresses") print_info(f"Location: {contacts_file}") except Exception as e: print_error(f"Failed to create contacts file: {e}") sys.exit(1) def start_filesystem_server( workspace: Path, no_cache: bool = False, local: bool = False, source_dir: Path = None ) -> subprocess.Popen: """Start the File System MCP server""" print_step(4, 6, "Starting File System MCP Server") workspace_str = str(workspace) if local: demo_base = source_dir or _default_demo_tools_root() filesystem_path = demo_base / "file_system" cmd = [ 'uv', 'run', '--project', str(filesystem_path), ] if no_cache: cmd.append('--no-cache') cmd.extend( [ 'python', str(filesystem_path / "main.py"), workspace_str, ] ) else: cmd = [ 'uvx', ] if no_cache: cmd.append('--no-cache') cmd.extend( [ '--from', 'git+https://github.com/cuga-project/cuga-agent.git#subdirectory=src/cuga/demo_tools/file_system', 'filesystem-server', workspace_str, ] ) try: print_info(f"Command: {' '.join(cmd)}") print_info(f"Workspace path: {Colors.BOLD}{workspace_str}{Colors.ENDC}") proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1) # Give it a moment to start time.sleep(3) if proc.poll() is None: running_processes.append(proc) print_success("File System server started successfully") print_info(f"Available at: {Colors.BOLD}http://localhost:8112/sse{Colors.ENDC}") return proc else: stderr = proc.stderr.read() if proc.stderr else "No error output" print_error(f"File System server failed to start: {stderr}") sys.exit(1) except Exception as e: print_error(f"Failed to start File System server: {e}") sys.exit(1) def start_crm_server( no_cache: bool = False, local: bool = False, source_dir: Path = None ) -> subprocess.Popen: """Start the CRM MCP server""" print_step(5, 6, "Starting CRM MCP Server") if local: demo_base = source_dir or _default_demo_tools_root() crm_path = demo_base / "crm" cmd = [ 'uv', 'run', '--project', str(crm_path), ] if no_cache: cmd.append('--no-cache') cmd.extend( [ 'python', '-m', 'crm_api.run_all', ] ) else: cmd = [ 'uvx', ] if no_cache: cmd.append('--no-cache') cmd.extend( [ '--from', 'git+https://github.com/cuga-project/cuga-agent.git#subdirectory=src/cuga/demo_tools/crm', 'crm', ] ) try: print_info(f"Command: {' '.join(cmd)}") proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1) # Give it a moment to start time.sleep(3) if proc.poll() is None: running_processes.append(proc) print_success("CRM server started successfully") print_info(f"Available at: {Colors.BOLD}http://localhost:8111/sse{Colors.ENDC}") return proc else: stderr = proc.stderr.read() if proc.stderr else "No error output" print_error(f"CRM server failed to start: {stderr}") sys.exit(1) except Exception as e: print_error(f"Failed to start CRM server: {e}") sys.exit(1) def start_email_sink( no_cache: bool = False, local: bool = False, source_dir: Path = None ) -> subprocess.Popen: """Start the Email SMTP Sink""" print_info("Starting Email SMTP Sink") if local: demo_base = source_dir or _default_demo_tools_root() email_sink_path = demo_base / "email_mcp" / "mail_sink" cmd = [ 'uv', 'run', '--project', str(email_sink_path), ] if no_cache: cmd.append('--no-cache') cmd.extend( [ 'python', str(email_sink_path / "server.py"), ] ) else: cmd = [ 'uvx', ] if no_cache: cmd.append('--no-cache') cmd.extend( [ '--from', 'git+https://github.com/cuga-project/cuga-agent.git#subdirectory=src/cuga/demo_tools/email_mcp/mail_sink', 'email_sink', ] ) try: print_info(f"Command: {' '.join(cmd)}") print_info(f"Current working directory: {os.getcwd()}") proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1) # Give it a moment to start time.sleep(2) if proc.poll() is None: running_processes.append(proc) print_success("Email SMTP sink started successfully") print_info(f"Available at: {Colors.BOLD}localhost:1025{Colors.ENDC}") return proc else: stderr = proc.stderr.read() if proc.stderr else "No error output" print_error(f"Email SMTP sink failed to start: {stderr}") sys.exit(1) except Exception as e: print_error(f"Failed to start Email SMTP sink: {e}") sys.exit(1) def start_email_server( no_cache: bool = False, local: bool = False, source_dir: Path = None ) -> subprocess.Popen: """Start the Email MCP server""" print_info("Starting Email MCP Server") if local: demo_base = source_dir or _default_demo_tools_root() email_server_path = demo_base / "email_mcp" / "mcp_server" cmd = [ 'uv', 'run', '--project', str(email_server_path), ] if no_cache: cmd.append('--no-cache') cmd.extend( [ 'python', str(email_server_path / "server.py"), ] ) else: cmd = [ 'uvx', ] if no_cache: cmd.append('--no-cache') cmd.extend( [ '--from', 'git+https://github.com/cuga-project/cuga-agent.git#subdirectory=src/cuga/demo_tools/email_mcp/mcp_server', 'email_mcp', ] ) try: print_info(f"Command: {' '.join(cmd)}") print_info(f"Current working directory: {os.getcwd()}") proc = subprocess.Popen( cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True, bufsize=1, cwd=os.path.dirname(os.path.abspath(__file__)), ) # Give it a moment to start time.sleep(2) if proc.poll() is None: running_processes.append(proc) print_success("Email MCP server started successfully") print_info(f"Available at: {Colors.BOLD}http://localhost:8000/sse{Colors.ENDC}") return proc else: stderr = proc.stderr.read() if proc.stderr else "No error output" print_error(f"Email MCP server failed to start: {stderr}") sys.exit(1) except Exception as e: print_error(f"Failed to start Email MCP server: {e}") sys.exit(1) def print_configuration_info(workspace: Path, include_email: bool = False): """Print configuration information for LangFlow""" print_step(6, 6, "Configuration Complete!") policy = f"""## Plan For the filesystem application: write or read files only from `{workspace}`""" if include_email: policy += """ For the email application: send emails only using the local SMTP sink""" summary = f""" {Colors.BOLD}{Colors.OKGREEN} ╔═══════════════════════════════════════════════════════════╗ ║ ║ ║ ✓ Setup Complete! ║ ║ ║ ╚═══════════════════════════════════════════════════════════╝ {Colors.ENDC} {Colors.BOLD}📁 Workspace:{Colors.ENDC} {Colors.OKCYAN}{workspace}{Colors.ENDC} {Colors.BOLD}🌐 Running Services:{Colors.ENDC} {Colors.OKGREEN}✓{Colors.ENDC} File System MCP: {Colors.BOLD}http://localhost:8112/sse{Colors.ENDC} {Colors.OKGREEN}✓{Colors.ENDC} CRM MCP: {Colors.BOLD}http://localhost:8111/sse{Colors.ENDC}""" if include_email: summary += f""" {Colors.OKGREEN}✓{Colors.ENDC} Email MCP: {Colors.BOLD}http://localhost:8000/sse{Colors.ENDC} {Colors.OKGREEN}✓{Colors.ENDC} Email SMTP Sink: {Colors.BOLD}localhost:1025{Colors.ENDC}""" summary += f""" {Colors.BOLD}📋 Files Created:{Colors.ENDC} {Colors.OKGREEN}✓{Colors.ENDC} {workspace}/contacts.txt (7 sample contacts) {Colors.BOLD}🔧 LangFlow Configuration:{Colors.ENDC} {Colors.UNDERLINE}In your CUGA component 'policies' field, add:{Colors.ENDC} {Colors.OKCYAN}{policy}{Colors.ENDC} {Colors.UNDERLINE}Connect these MCP servers:{Colors.ENDC} • File System: http://localhost:8112/sse • CRM: http://localhost:8111/sse""" if include_email: summary += """ • Email: http://localhost:8000/sse""" summary += f""" • Gmail: Built-in LangFlow component {Colors.BOLD}🎯 Demo Task:{Colors.ENDC} {Colors.OKBLUE}Given list of email in the file contacts.txt, Filter those who exists in the crm application, and retrieve their name, and associated account name, then send an email to example@gmail.com with the result{Colors.ENDC} {Colors.BOLD}⚡ Quick Actions:{Colors.ENDC} • View contacts: {Colors.OKCYAN}cat {workspace}/contacts.txt{Colors.ENDC} • Check status: {Colors.OKCYAN}curl http://localhost:8112/sse{Colors.ENDC} • Stop servers: {Colors.WARNING}Press Ctrl+C{Colors.ENDC} {Colors.BOLD}{Colors.OKGREEN}🚀 Ready to run your demo in LangFlow!{Colors.ENDC} """ print(summary) def monitor_servers(): """Monitor running servers and keep them alive""" print(f"\n{Colors.BOLD}{Colors.OKCYAN}🔄 Servers are running... Press Ctrl+C to stop{Colors.ENDC}\n") try: while True: time.sleep(1) # Check if any process has died for proc in running_processes: if proc.poll() is not None: print_error(f"A server process has stopped unexpectedly (exit code: {proc.returncode})") if proc.stderr: stderr = proc.stderr.read() if stderr: print_error(f"Error output: {stderr}") cleanup() sys.exit(1) # 🚨 CRITICAL: Drain pipes to prevent buffer overflow and server hangs # Servers like CRM can produce lots of logs that fill up pipe buffers try: # Drain stdout non-blockingly if proc.stdout: import select # Use select to check if data is available without blocking if hasattr(select, 'select'): # Unix-like systems ready, _, _ = select.select([proc.stdout], [], [], 0) while ready: line = proc.stdout.readline() if not line: break # Silently discard - servers are running in background ready, _, _ = select.select([proc.stdout], [], [], 0) else: # Windows fallback - read available data while True: # Peek to see if data is available if hasattr(proc.stdout, 'peek'): peek_data = proc.stdout.peek(1) if not peek_data: break # Read line by line line = proc.stdout.readline() if not line: break # Silently discard - servers are running in background except (OSError, ValueError, AttributeError): # Ignore pipe errors - non-critical for monitoring pass try: # Drain stderr non-blockingly if proc.stderr: import select # Use select to check if data is available without blocking if hasattr(select, 'select'): # Unix-like systems ready, _, _ = select.select([proc.stderr], [], [], 0) while ready: line = proc.stderr.readline() if not line: break # Silently discard - servers are running in background ready, _, _ = select.select([proc.stderr], [], [], 0) else: # Windows fallback while True: if hasattr(proc.stderr, 'peek'): peek_data = proc.stderr.peek(1) if not peek_data: break line = proc.stderr.readline() if not line: break # Silently discard - servers are running in background except (OSError, ValueError, AttributeError): # Ignore pipe errors - non-critical for monitoring pass except KeyboardInterrupt: pass def main(): """Main entry point""" print_header() # Parse command line arguments parser = argparse.ArgumentParser(description='CUGA Demo Setup CLI') parser.add_argument('--email', action='store_true', help='Include email MCP server and SMTP sink') parser.add_argument( '--cache', action='store_true', help='Enable uv caching (default: disabled for fresh installations)' ) parser.add_argument('--local', action='store_true', help='Use local demo apps instead of git installs') parser.add_argument( '--cuga_workspace', default=None, help='Path to cuga workspace; when set, configures policy env so all file operations use this dir', ) parser.add_argument( 'workspace_path', nargs='?', default=None, help='Path to workspace directory (optional)' ) args = parser.parse_args() # Check environment variable for local mode if os.getenv('CUGA_LOCAL', '').lower() in ('1', 'true', 'yes'): args.local = True # Set the source directory for local mode if args.local: # When running from uvx temp directory, we need the original source path if os.getenv('CUGA_SOURCE_DIR'): args.source_dir = Path(os.getenv('CUGA_SOURCE_DIR')) else: # Try to find it relative to current working directory cwd_tools = Path.cwd() / "src" / "cuga" / "demo_tools" if cwd_tools.exists(): args.source_dir = cwd_tools else: args.source_dir = _default_demo_tools_root() print_info(f"Using local demo apps from: {args.source_dir}") else: print_info("Using remote demo apps from git repository") # Check prerequisites if not check_prerequisites(): print_error("\n❌ Prerequisites check failed. Please install missing requirements.") sys.exit(1) # Check port availability if not check_and_handle_ports(include_email=args.email): sys.exit(1) workspace_path = args.cuga_workspace or args.workspace_path workspace = create_workspace(workspace_path) policy = f"## Plan\nFor the filesystem application: write or read files only from `{workspace}`" if args.email: policy += "\nFor the email application: send emails only using the local SMTP sink" os.environ["CUGA_POLICIES_CONTENT"] = policy os.environ["CUGA_LOAD_POLICIES"] = "true" # Create contacts file create_contacts_file(workspace) # Start servers start_filesystem_server( workspace, no_cache=not args.cache, local=args.local, source_dir=getattr(args, 'source_dir', None) ) start_crm_server(no_cache=not args.cache, local=args.local, source_dir=getattr(args, 'source_dir', None)) # Start email servers if requested if args.email: start_email_sink( no_cache=not args.cache, local=args.local, source_dir=getattr(args, 'source_dir', None) ) start_email_server( no_cache=not args.cache, local=args.local, source_dir=getattr(args, 'source_dir', None) ) # Print configuration print_configuration_info(workspace, include_email=args.email) # Monitor servers monitor_servers() if __name__ == "__main__": main() ================================================ FILE: docs/examples/demo_apps/setup/pyproject.toml ================================================ [build-system] requires = ["setuptools>=45", "wheel"] build-backend = "setuptools.build_meta" [project] name = "create-cuga-demo" version = "1.0.0" description = "One-command setup for CUGA Agent demo with MCP servers" readme = "README.md" requires-python = ">=3.10" dependencies = [ "questionary>=2.0.0" ] [project.scripts] create-cuga-demo = "cli:main" [tool.uv] dev-dependencies = [] [tool.setuptools] py-modules = ["cli"] ================================================ FILE: docs/examples/digital_sales_openapi/main.py ================================================ import random from typing import Dict, List, Optional, Set from fastapi import FastAPI, Path, Query from pydantic import BaseModel # --- Pydantic Models --- class Account(BaseModel): """Represents a single sales account.""" id: str name: str state: str revenue: int is_third_party: bool = False # New field to indicate if the account is from a third-party provider class JobTitle(BaseModel): """Represents a job title.""" title: str class Contact(BaseModel): """Represents a contact person at an account.""" id: str name: str email: str account_id: str job_title: str class MyAccountsOutput(BaseModel): """Response model for getting a user's accounts.""" accounts: List[Account] coverage_id: str client_status: str class AccountsOutput(BaseModel): """Response model for getting a list of accounts.""" accounts: List[Account] class JobTitlesOutput(BaseModel): """Response model for getting a list of job titles.""" job_titles: List[JobTitle] class ContactsOutput(BaseModel): """Response model for getting a list of contacts.""" contacts: List[Contact] # --- Sample Data Generation --- # A static list of 100 accounts for consistent testing accounts_list_raw = [ ("Apex Industries", "NY", 1200000), ("Starlight Corp", "FL", 300000), ("Phoenix Holdings", "CA", 9500000), ("Meridian Enterprises", "IL", 750000), ("Zenith Group", "TX", 4500000), ("Silverline Systems", "WA", 6800000), ("Frontier Tech", "CO", 2100000), ("Evergreen LLC", "OR", 900000), ("Innovate Inc.", "CA", 5500000), ("Data Flow Inc.", "TX", 7100000), ("Cloud Sphere LLC", "WA", 4300000), ("Net Weavers Corp", "NY", 2200000), ("Info Stream Tech", "CA", 8900000), ("Global Reach Inc.", "FL", 1500000), ("Terra Firm Ltd.", "CO", 3200000), ("Blue Ocean Co.", "CA", 6200000), ("Red River LLC", "TX", 500000), ("Golden Gate Group", "CA", 9800000), ("Keystone Industries", "PA", 3400000), ("Sunbeam Systems", "FL", 1800000), ("Crystal Clear Co.", "AZ", 2900000), ("Summit Strategies", "CO", 5300000), ("North Star Ent.", "MN", 4100000), ("Alpha Wave Tech", "WA", 7600000), ("Omega Solutions", "TX", 8300000), ("Delta Force Inc.", "GA", 2700000), ("Gamma Ray Group", "IL", 6400000), ("Echo Labs", "CA", 4900000), ("Bravo Corp", "NY", 1100000), ("Momentum Machines", "MI", 3800000), ("Velocity Ventures", "TX", 5900000), ("Pinnacle Partners", "IL", 7200000), ("Horizon Holdings", "FL", 2400000), ("Catalyst Creations", "CA", 8800000), ("Synergy Systems", "TX", 6700000), ("Vanguard Vision", "NY", 3300000), ("Triton Tech", "WA", 5100000), ("Orion Operations", "CO", 2600000), ("Helios Holdings", "FL", 400000), ("Titan Industries", "MI", 4800000), ("Matrix Methods", "IL", 7900000), ("Vertex Ventures", "CA", 9200000), ("Nexus Networks", "TX", 6100000), ("Spectrum Solutions", "NY", 1700000), ("Polaris Projects", "MN", 3600000), ("Quasar Queries", "AZ", 2300000), ("Stellar Systems", "WA", 5800000), ("Nebula Networks", "OR", 850000), ("Andromeda Inc.", "CA", 9700000), ("Cosmos Creations", "TX", 7400000), ("Galaxy Group", "FL", 1300000), ("Supernova Systems", "NY", 3000000), ("Blackhole Co.", "IL", 6900000), ("Rocket Corp", "FL", 2000000), ("Comet Co.", "CO", 1400000), ("Meteorite Methods", "AZ", 950000), ("Asteroid Ventures", "TX", 3700000), ("Planet Partners", "CA", 8100000), ("Starship Systems", "WA", 5600000), ("Warp Drive Inc.", "NY", 4200000), ("Teleport Tech", "CA", 7700000), ("Time Travel Co.", "IL", 6300000), ("Future Forward", "TX", 9000000), ("Next Gen Group", "WA", 4700000), ("Legacy Labs", "NY", 800000), ("Tradition Tech", "PA", 2500000), ("Old School Systems", "OH", 1900000), ("Heritage Holdings", "GA", 3100000), ("Pioneer Partners", "OR", 700000), ("Settler Solutions", "CO", 1600000), ("Homestead Inc.", "MN", 4400000), ("Frontier Flow", "TX", 5200000), ("Wild West Web", "AZ", 600000), ("Gold Rush Group", "CA", 9999999), ("Silicon Valley Co.", "CA", 9400000), ("Route 66 Systems", "IL", 3900000), ("Big Apple Biz", "NY", 8600000), ("Lone Star Logic", "TX", 9300000), ("Sunshine State Co.", "FL", 2800000), ("Windy City Web", "IL", 6600000), ("Badger State Biz", "WI", 3500000), ("Wolverine Web", "MI", 4600000), ("Buckeye Biz", "OH", 2000000), ("Empire State Ent.", "NY", 8400000), ("Golden State Group", "CA", 9600000), ("Evergreen Ent.", "WA", 5400000), ("Centennial Co.", "CO", 2200000), ("Beaver State Biz", "OR", 1000000), ("Grand Canyon Group", "AZ", 1200000), ("Silver State Systems", "NV", 1800000), ("Beehive Biz", "UT", 1500000), ("Gem State Group", "ID", 1100000), ("Big Sky Biz", "MT", 900000), ("Equality State Ent.", "WY", 700000), ("Cornhusker Co.", "NE", 1400000), ("Sunflower State", "KS", 1300000), ("Sooner State", "OK", 1700000), ("Show Me Systems", "MO", 2100000), ("Hawkeye Holdings", "IA", 1900000), ("North Star Inc.", "MN", 2300000), ] # Use a fixed seed for reproducible random assignments random.seed(42) SAMPLE_ACCOUNTS: Dict[str, Account] = { f"acc_{i}": Account( id=f"acc_{i}", name=name, state=state, revenue=rev, is_third_party=(i % 2 == 0), # Make every even-indexed account a third-party account ) for i, (name, state, rev) in enumerate(accounts_list_raw, start=1) } # Job titles used for contacts job_titles_list = [ "Chief Executive Officer", "Chief Technology Officer", "Chief Financial Officer", "Vice President of Sales", "Director of Marketing", "Sales Manager", "Product Manager", "Account Executive", "Data Scientist", "Software Engineer", ] first_names = ["Alice", "Bob", "Charlie", "Diana", "Ethan", "Fiona", "George", "Helen", "Ian", "Julia"] last_names = ["Johnson", "Williams", "Davis", "Miller", "Garcia", "Rodriguez", "Wilson", "Martinez"] # Generate contacts linked to accounts SAMPLE_CONTACTS: Dict[str, Contact] = {} contact_index = 1 for account_id, account in SAMPLE_ACCOUNTS.items(): num_contacts = random.randint(1, 3) # Each account has 1-3 contacts for _ in range(num_contacts): contact_id = f"con_{contact_index}" first_name = random.choice(first_names) last_name = random.choice(last_names) name = f"{first_name} {last_name}" email = f"{first_name.lower()}.{last_name.lower()}@{account.name.split(' ')[0].lower()}.com".replace( '.', '' ) job_title = random.choice(job_titles_list) SAMPLE_CONTACTS[contact_id] = Contact( id=contact_id, name=name, email=email, account_id=account_id, job_title=job_title ) contact_index += 1 # --- FastAPI App Initialization --- app = FastAPI( title="Digital Sales Skills API (Stabilized)", description="An API for managing sales accounts, contacts, and campaigns.", version="2.0.0", ) # --- API Endpoints --- @app.get("/my-accounts", response_model=MyAccountsOutput, summary="Get My Territory Accounts") async def get_my_accounts(): """ Retrieves a list of accounts that are specifically assigned to the current user's territory, providing consistent and predictable results for the user's account management. """ # Simulate a user's territory by returning accounts with odd IDs my_accounts = [acc for acc_id, acc in SAMPLE_ACCOUNTS.items() if int(acc_id.split('_')[1]) % 2 != 0] return MyAccountsOutput( accounts=my_accounts, coverage_id="COV-001", client_status="Active", ) @app.get("/third-party-accounts", response_model=AccountsOutput, summary="Get Third-Party Accounts") async def get_third_party_accounts( campaign_name: Optional[str] = Query(None, title="Optional filter by campaign name"), ): """ Retrieves a list of accounts from a third-party provider, with optional filtering by campaign. If `campaign_name` is "Tech Transformation", it returns accounts with revenue over $5M. If `campaign_name` is "High Value Outreach", it returns accounts in CA or NY. Otherwise, it returns all third-party accounts. """ third_party_accounts = [acc for acc in SAMPLE_ACCOUNTS.values() if acc.is_third_party] if campaign_name: if campaign_name.lower() == "tech transformation": filtered_accounts = [acc for acc in third_party_accounts if acc.revenue > 5000000] return AccountsOutput(accounts=filtered_accounts) elif campaign_name.lower() == "high value outreach": filtered_accounts = [acc for acc in third_party_accounts if acc.state in ["CA", "NY"]] return AccountsOutput(accounts=filtered_accounts) return AccountsOutput(accounts=third_party_accounts) @app.get( "/accounts/{account_id}/job-titles", response_model=JobTitlesOutput, summary="Get Job Titles by Account ID", ) async def get_job_titles_by_account(account_id: str = Path(..., title="The ID of the account")): """ Retrieves all unique job titles associated with contacts at a specific account. """ if account_id not in SAMPLE_ACCOUNTS: return JobTitlesOutput(job_titles=[]) # Find all contacts for the given account ID account_contacts = [contact for contact in SAMPLE_CONTACTS.values() if contact.account_id == account_id] # Get unique job titles from these contacts unique_job_titles: Set[str] = {contact.job_title for contact in account_contacts} return JobTitlesOutput(job_titles=[JobTitle(title=jt) for jt in unique_job_titles]) @app.get("/contacts", response_model=ContactsOutput, summary="Get Contacts") async def get_contacts( account_id: Optional[str] = Query(None, title="Optional filter by account ID"), job_title: Optional[str] = Query(None, title="Optional filter by job title"), ): """ Retrieves a list of contacts, with optional filters for account ID and job title. """ found_contacts = list(SAMPLE_CONTACTS.values()) if account_id: found_contacts = [contact for contact in found_contacts if contact.account_id == account_id] if job_title: found_contacts = [ contact for contact in found_contacts if contact.job_title.lower() == job_title.lower() ] return ContactsOutput(contacts=found_contacts) # --- Test Functions --- # # async def test_get_top_account(): # """Test case 1: Get top account by revenue from my accounts.""" # my_accounts_data = await get_my_accounts() # my_accounts = my_accounts_data.accounts # # if not my_accounts: # print("No accounts found in my territory.") # return # # # Sort accounts by revenue in descending order and get the first one # top_account = sorted(my_accounts, key=lambda acc: acc.revenue, reverse=True)[0] # # print("\n--- Test 1: Top Account in My Territory by Revenue ---") # print(f"Top Account: {top_account.name} (Revenue: ${top_account.revenue:,})") # print("-" * 50) # # # async def test_get_tech_transformation_contacts(): # """Test case 2: Get 'Vice President of Sales' contacts for Tech Transformation campaign.""" # print("\n--- Test 2: 'VP of Sales' Contacts in 'Tech Transformation' Campaign ---") # # # First, get third-party accounts for the "Tech Transformation" campaign # third_party_accounts_output = await get_third_party_accounts(campaign_name="Tech Transformation") # third_party_accounts = third_party_accounts_output.accounts # # if not third_party_accounts: # print("No third-party accounts found for the 'Tech Transformation' campaign.") # return # # # Now, get contacts for each of these accounts with the specific job title # all_contacts = [] # for account in third_party_accounts: # contacts_output = await get_contacts(account_id=account.id, job_title="Vice President of Sales") # all_contacts.extend(contacts_output.contacts) # # if all_contacts: # print(f"Found {len(all_contacts)} contacts:") # for contact in all_contacts: # print(f"- {contact.name}, {contact.job_title} at {SAMPLE_ACCOUNTS[contact.account_id].name}") # else: # print("No 'Vice President of Sales' contacts found for the selected accounts.") # print("-" * 50) # # async def test_get_my_accounts(): # """Test case 3: Verify the 'my-accounts' endpoint behavior.""" # print("\n--- Test 3: Verify 'my-accounts' Endpoint ---") # # # Call the endpoint function # my_accounts_data = await get_my_accounts() # my_accounts = my_accounts_data.accounts # # # Verify the response fields # print(f"Coverage ID: {my_accounts_data.coverage_id}") # print(f"Client Status: {my_accounts_data.client_status}") # print(f"Number of accounts found: {len(my_accounts)}") # # # Verify expected values (based on the deterministic logic in the endpoint) # expected_count = 50 # expected_coverage_id = "COV-001" # expected_client_status = "Active" # # # Add a simple assertion-like check # if ( # len(my_accounts) == expected_count # and my_accounts_data.coverage_id == expected_coverage_id # and my_accounts_data.client_status == expected_client_status # ): # print("Verification successful: All values match expectations.") # else: # print("Verification failed: Values do not match expectations.") # # # Show a sample of the data to confirm it's not empty # if my_accounts: # print("\nExample of the first 6 accounts:") # for acc in my_accounts[:6]: # print(f" - {acc.name} (ID: {acc.id})") # # print("-" * 50) # --- Main entry point --- if __name__ == "__main__": import uvicorn uvicorn.run(app, host="0.0.0.0", port=8888) # asyncio.run(test_get_top_account()) # asyncio.run(test_get_tech_transformation_contacts()) # asyncio.run(test_get_my_accounts()) ================================================ FILE: docs/examples/evaluation/input_example.json ================================================ [ { "name": "digital-sales", "test_cases": [ { "name": "test_get_top_account", "description": "gets the top account by revenue", "intent": "get my top account by revenue", "expected_output": { "response": "**Top Account by Revenue** - **Name:** Andromeda Inc. - **Revenue:** $9,700,000 - **Account ID:** acc_49", "keywords": [ "Andromeda Inc.", "9,700,000" ], "tool_calls": [ { "name": "digital_sales_get_my_accounts_my_accounts_get", "args": { } } ] } }, { "name": "test_get_contacts", "description": "get all contacts names from a single company", "intent": "get all my contacts (name only) from apex that start with the letter A", "expected_output": { "response": "**Contacts from Apex starting with 'A':**\n\n- Alice Johnson\n- Alice Miller\n- Alice Williams\n- Alice Davis\n- Alice Wilson\n- Alice Martinez\n- Alice Rodriguez\n- Alice Garcia\n\n*Note: The list contains duplicates; all names currently start with 'Alice' as per available data.*", "keywords": [ "Alice Rodriguez", "Alice Martinez", "Alice Wilson", "Alice Davis", "Alice Williams", "Alice Miller", "Alice Johnson" ], "tool_calls": [ { "name": "digital_sales_get_contacts_contacts_get", "args": { } } ] } }, { "name": 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"version": null } ], "total_dependencies": 3 }, "module": "custom_components.mcp_tools" }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Toolset", "group_outputs": false, "hidden": null, "loop_types": null, "method": "to_toolkit", "name": "component_as_tool", "options": null, "required_inputs": null, "selected": "Tool", "tool_mode": true, "types": [ "Tool" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_frontend_node_flow_id": { "value": "af63ae2e-2804-4ab5-9259-4e337a09a401" }, "_frontend_node_folder_id": { "value": "9d4e6e89-4355-4367-8927-de9e2800dfeb" }, "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from __future__ import annotations\n\nimport asyncio\nimport json\nimport uuid\n\nfrom langchain_core.tools import StructuredTool # noqa: TC002\n\nfrom lfx.base.agents.utils import maybe_unflatten_dict, safe_cache_get, safe_cache_set\nfrom lfx.base.mcp.util import (\n MCPStdioClient,\n MCPStreamableHttpClient,\n create_input_schema_from_json_schema,\n update_tools,\n)\nfrom lfx.custom.custom_component.component_with_cache import ComponentWithCache\nfrom lfx.inputs.inputs import InputTypes # noqa: TC001\nfrom lfx.io import BoolInput, DropdownInput, McpInput, MessageTextInput, Output\nfrom lfx.io.schema import flatten_schema, schema_to_langflow_inputs\nfrom lfx.log.logger import logger\nfrom lfx.schema.dataframe import DataFrame\nfrom lfx.schema.message import Message\nfrom lfx.services.deps import get_settings_service, get_storage_service, session_scope\n\n\ndef resolve_mcp_config(\n server_name: str, # noqa: ARG001\n server_config_from_value: dict | None,\n server_config_from_db: dict | None,\n) -> dict | None:\n \"\"\"Resolve MCP server config with proper precedence.\n\n Resolves the configuration for an MCP server with the following precedence:\n 1. Database config (takes priority) - ensures edits are reflected\n 2. Config from value/tweaks (fallback) - allows REST API to provide config for new servers\n\n Args:\n server_name: Name of the MCP server\n server_config_from_value: Config provided via value/tweaks (optional)\n server_config_from_db: Config from database (optional)\n\n Returns:\n Final config to use (DB takes priority, falls back to value)\n Returns None if no config found in either location\n \"\"\"\n if server_config_from_db:\n return server_config_from_db\n return server_config_from_value\n\n\nclass MCPToolsComponent(ComponentWithCache):\n schema_inputs: list = []\n tools: list[StructuredTool] = []\n _not_load_actions: bool = False\n _tool_cache: dict = {}\n _last_selected_server: str | None = None # Cache for the last selected server\n\n def __init__(self, **data) -> None:\n super().__init__(**data)\n # Initialize cache keys to avoid CacheMiss when accessing them\n self._ensure_cache_structure()\n\n # Initialize clients with access to the component cache\n self.stdio_client: MCPStdioClient = MCPStdioClient(component_cache=self._shared_component_cache)\n self.streamable_http_client: MCPStreamableHttpClient = MCPStreamableHttpClient(\n component_cache=self._shared_component_cache\n )\n\n def _ensure_cache_structure(self):\n \"\"\"Ensure the cache has the required structure.\"\"\"\n # Check if servers key exists and is not CacheMiss\n servers_value = safe_cache_get(self._shared_component_cache, \"servers\")\n if servers_value is None:\n safe_cache_set(self._shared_component_cache, \"servers\", {})\n\n # Check if last_selected_server key exists and is not CacheMiss\n last_server_value = safe_cache_get(self._shared_component_cache, \"last_selected_server\")\n if last_server_value is None:\n safe_cache_set(self._shared_component_cache, \"last_selected_server\", \"\")\n\n default_keys: list[str] = [\n \"code\",\n \"_type\",\n \"tool_mode\",\n \"tool_placeholder\",\n \"mcp_server\",\n \"tool\",\n \"use_cache\",\n \"verify_ssl\",\n ]\n\n display_name = \"MCP Tools\"\n description = \"Connect to an MCP server to use its tools.\"\n documentation: str = \"https://docs.langflow.org/mcp-tools\"\n icon = \"Mcp\"\n name = \"MCPTools\"\n\n inputs = [\n McpInput(\n name=\"mcp_server\",\n display_name=\"MCP Server\",\n info=\"Select the MCP Server that will be used by this component\",\n real_time_refresh=True,\n ),\n BoolInput(\n name=\"use_cache\",\n display_name=\"Use Cached Server\",\n info=(\n \"Enable caching of MCP Server and tools to improve performance. \"\n \"Disable to always fetch fresh tools and server updates.\"\n ),\n value=False,\n advanced=True,\n ),\n BoolInput(\n name=\"verify_ssl\",\n display_name=\"Verify SSL Certificate\",\n info=(\n \"Enable SSL certificate verification for HTTPS connections. \"\n \"Disable only for development/testing with self-signed certificates.\"\n ),\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"tool\",\n display_name=\"Tool\",\n options=[],\n value=\"\",\n info=\"Select the tool to execute\",\n show=False,\n required=True,\n real_time_refresh=True,\n ),\n MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n info=\"Placeholder for the tool\",\n value=\"\",\n show=False,\n tool_mode=False,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Response\", name=\"response\", method=\"build_output\"),\n ]\n\n async def _validate_schema_inputs(self, tool_obj) -> list[InputTypes]:\n \"\"\"Validate and process schema inputs for a tool.\"\"\"\n try:\n if not tool_obj or not hasattr(tool_obj, \"args_schema\"):\n msg = \"Invalid tool object or missing input schema\"\n raise ValueError(msg)\n\n flat_schema = flatten_schema(tool_obj.args_schema.schema())\n input_schema = create_input_schema_from_json_schema(flat_schema)\n if not input_schema:\n msg = f\"Empty input schema for tool '{tool_obj.name}'\"\n raise ValueError(msg)\n\n schema_inputs = schema_to_langflow_inputs(input_schema)\n if not schema_inputs:\n msg = f\"No input parameters defined for tool '{tool_obj.name}'\"\n await logger.awarning(msg)\n return []\n\n except Exception as e:\n msg = f\"Error validating schema inputs: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n else:\n return schema_inputs\n\n async def update_tool_list(self, mcp_server_value=None):\n # Accepts mcp_server_value as dict {name, config} or uses self.mcp_server\n mcp_server = mcp_server_value if mcp_server_value is not None else getattr(self, \"mcp_server\", None)\n server_name = None\n server_config_from_value = None\n if isinstance(mcp_server, dict):\n server_name = mcp_server.get(\"name\")\n server_config_from_value = mcp_server.get(\"config\")\n else:\n server_name = mcp_server\n if not server_name:\n self.tools = []\n return [], {\"name\": server_name, \"config\": server_config_from_value}\n\n # Check if caching is enabled, default to False\n use_cache = getattr(self, \"use_cache\", False)\n\n # Use shared cache if available and caching is enabled\n cached = None\n if use_cache:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n cached = servers_cache.get(server_name) if isinstance(servers_cache, dict) else None\n\n if cached is not None:\n try:\n self.tools = cached[\"tools\"]\n self.tool_names = cached[\"tool_names\"]\n self._tool_cache = cached[\"tool_cache\"]\n server_config_from_value = cached[\"config\"]\n except (TypeError, KeyError, AttributeError) as e:\n # Handle corrupted cache data by clearing it and continuing to fetch fresh tools\n msg = f\"Unable to use cached data for MCP Server{server_name}: {e}\"\n await logger.awarning(msg)\n # Clear the corrupted cache entry\n current_servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(current_servers_cache, dict) and server_name in current_servers_cache:\n current_servers_cache.pop(server_name)\n safe_cache_set(self._shared_component_cache, \"servers\", current_servers_cache)\n else:\n return self.tools, {\"name\": server_name, \"config\": server_config_from_value}\n\n try:\n # Try to fetch from database first to ensure we have the latest config\n # This ensures database updates (like editing a server) take effect\n try:\n from langflow.api.v2.mcp import get_server\n from langflow.services.database.models.user.crud import get_user_by_id\n except ImportError as e:\n msg = (\n \"Langflow MCP server functionality is not available. \"\n \"This feature requires the full Langflow installation.\"\n )\n raise ImportError(msg) from e\n\n server_config_from_db = None\n async with session_scope() as db:\n if not self.user_id:\n msg = \"User ID is required for fetching MCP tools.\"\n raise ValueError(msg)\n current_user = await get_user_by_id(db, self.user_id)\n\n # Try to get server config from DB/API\n server_config_from_db = await get_server(\n server_name,\n current_user,\n db,\n storage_service=get_storage_service(),\n settings_service=get_settings_service(),\n )\n\n # Resolve config with proper precedence: DB takes priority, falls back to value\n server_config = resolve_mcp_config(\n server_name=server_name,\n server_config_from_value=server_config_from_value,\n server_config_from_db=server_config_from_db,\n )\n\n if not server_config:\n self.tools = []\n return [], {\"name\": server_name, \"config\": server_config}\n\n # Add verify_ssl option to server config if not present\n if \"verify_ssl\" not in server_config:\n verify_ssl = getattr(self, \"verify_ssl\", True)\n server_config[\"verify_ssl\"] = verify_ssl\n\n _, tool_list, tool_cache = await update_tools(\n server_name=server_name,\n server_config=server_config,\n mcp_stdio_client=self.stdio_client,\n mcp_streamable_http_client=self.streamable_http_client,\n )\n\n self.tool_names = [tool.name for tool in tool_list if hasattr(tool, \"name\")]\n self._tool_cache = tool_cache\n self.tools = tool_list\n\n # Cache the result only if caching is enabled\n if use_cache:\n cache_data = {\n \"tools\": tool_list,\n \"tool_names\": self.tool_names,\n \"tool_cache\": tool_cache,\n \"config\": server_config,\n }\n\n # Safely update the servers cache\n current_servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(current_servers_cache, dict):\n current_servers_cache[server_name] = cache_data\n safe_cache_set(self._shared_component_cache, \"servers\", current_servers_cache)\n\n except (TimeoutError, asyncio.TimeoutError) as e:\n msg = f\"Timeout updating tool list: {e!s}\"\n await logger.aexception(msg)\n raise TimeoutError(msg) from e\n except Exception as e:\n msg = f\"Error updating tool list: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n else:\n return tool_list, {\"name\": server_name, \"config\": server_config}\n\n async def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None) -> dict:\n \"\"\"Toggle the visibility of connection-specific fields based on the selected mode.\"\"\"\n try:\n if field_name == \"tool\":\n try:\n # Always refresh tools when cache is disabled, or when tools list is empty\n # This ensures database edits are reflected immediately when cache is disabled\n use_cache = getattr(self, \"use_cache\", False)\n if len(self.tools) == 0 or not use_cache:\n try:\n self.tools, build_config[\"mcp_server\"][\"value\"] = await self.update_tool_list()\n build_config[\"tool\"][\"options\"] = [tool.name for tool in self.tools]\n build_config[\"tool\"][\"placeholder\"] = \"Select a tool\"\n except (TimeoutError, asyncio.TimeoutError) as e:\n msg = f\"Timeout updating tool list: {e!s}\"\n await logger.aexception(msg)\n if not build_config[\"tools_metadata\"][\"show\"]:\n build_config[\"tool\"][\"show\"] = True\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"value\"] = \"\"\n build_config[\"tool\"][\"placeholder\"] = \"Timeout on MCP server\"\n else:\n build_config[\"tool\"][\"show\"] = False\n except ValueError:\n if not build_config[\"tools_metadata\"][\"show\"]:\n build_config[\"tool\"][\"show\"] = True\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"value\"] = \"\"\n build_config[\"tool\"][\"placeholder\"] = \"Error on MCP Server\"\n else:\n build_config[\"tool\"][\"show\"] = False\n\n if field_value == \"\":\n return build_config\n tool_obj = None\n for tool in self.tools:\n if tool.name == field_value:\n tool_obj = tool\n break\n if tool_obj is None:\n msg = f\"Tool {field_value} not found in available tools: {self.tools}\"\n await logger.awarning(msg)\n return build_config\n await self._update_tool_config(build_config, field_value)\n except Exception as e:\n build_config[\"tool\"][\"options\"] = []\n msg = f\"Failed to update tools: {e!s}\"\n raise ValueError(msg) from e\n else:\n return build_config\n elif field_name == \"mcp_server\":\n if not field_value:\n build_config[\"tool\"][\"show\"] = False\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"value\"] = \"\"\n build_config[\"tool\"][\"placeholder\"] = \"\"\n build_config[\"tool_placeholder\"][\"tool_mode\"] = False\n self.remove_non_default_keys(build_config)\n return build_config\n\n build_config[\"tool_placeholder\"][\"tool_mode\"] = True\n\n current_server_name = field_value.get(\"name\") if isinstance(field_value, dict) else field_value\n _last_selected_server = safe_cache_get(self._shared_component_cache, \"last_selected_server\", \"\")\n server_changed = current_server_name != _last_selected_server\n\n # Determine if \"Tool Mode\" is active by checking if the tool dropdown is hidden.\n is_in_tool_mode = build_config[\"tools_metadata\"][\"show\"]\n\n # Get use_cache setting to determine if we should use cached data\n use_cache = getattr(self, \"use_cache\", False)\n\n # Fast path: if server didn't change and we already have options, keep them as-is\n # BUT only if caching is enabled or we're in tool mode\n existing_options = build_config.get(\"tool\", {}).get(\"options\") or []\n if not server_changed and existing_options:\n # In non-tool mode with cache disabled, skip the fast path to force refresh\n if not is_in_tool_mode and not use_cache:\n pass # Continue to refresh logic below\n else:\n if not is_in_tool_mode:\n build_config[\"tool\"][\"show\"] = True\n return build_config\n\n # To avoid unnecessary updates, only proceed if the server has actually changed\n # OR if caching is disabled (to force refresh in non-tool mode)\n if (_last_selected_server in (current_server_name, \"\")) and build_config[\"tool\"][\"show\"] and use_cache:\n if current_server_name:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(servers_cache, dict):\n cached = servers_cache.get(current_server_name)\n if cached is not None and cached.get(\"tool_names\"):\n cached_tools = cached[\"tool_names\"]\n current_tools = build_config[\"tool\"][\"options\"]\n if current_tools == cached_tools:\n return build_config\n else:\n return build_config\n safe_cache_set(self._shared_component_cache, \"last_selected_server\", current_server_name)\n\n # When cache is disabled, clear any cached data for this server\n # This ensures we always fetch fresh data from the database\n if not use_cache and current_server_name:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(servers_cache, dict) and current_server_name in servers_cache:\n servers_cache.pop(current_server_name)\n safe_cache_set(self._shared_component_cache, \"servers\", servers_cache)\n\n # Check if tools are already cached for this server before clearing\n cached_tools = None\n if current_server_name and use_cache:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(servers_cache, dict):\n cached = servers_cache.get(current_server_name)\n if cached is not None:\n try:\n cached_tools = cached[\"tools\"]\n self.tools = cached_tools\n self.tool_names = cached[\"tool_names\"]\n self._tool_cache = cached[\"tool_cache\"]\n except (TypeError, KeyError, AttributeError) as e:\n # Handle corrupted cache data by ignoring it\n msg = f\"Unable to use cached data for MCP Server,{current_server_name}: {e}\"\n await logger.awarning(msg)\n cached_tools = None\n\n # Clear tools when cache is disabled OR when we don't have cached tools\n # This ensures fresh tools are fetched after database edits\n if not cached_tools or not use_cache:\n self.tools = [] # Clear previous tools to force refresh\n\n # Clear previous tool inputs if:\n # 1. Server actually changed\n # 2. Cache is disabled (meaning tool list will be refreshed)\n if server_changed or not use_cache:\n self.remove_non_default_keys(build_config)\n\n # Only show the tool dropdown if not in tool_mode\n if not is_in_tool_mode:\n build_config[\"tool\"][\"show\"] = True\n if cached_tools:\n # Use cached tools to populate options immediately\n build_config[\"tool\"][\"options\"] = [tool.name for tool in cached_tools]\n build_config[\"tool\"][\"placeholder\"] = \"Select a tool\"\n else:\n # Show loading state only when we need to fetch tools\n build_config[\"tool\"][\"placeholder\"] = \"Loading tools...\"\n build_config[\"tool\"][\"options\"] = []\n # Force a value refresh when:\n # 1. Server changed\n # 2. We don't have cached tools\n # 3. Cache is disabled (to force refresh on config changes)\n if server_changed or not cached_tools or not use_cache:\n build_config[\"tool\"][\"value\"] = uuid.uuid4()\n else:\n # Keep the tool dropdown hidden if in tool_mode\n self._not_load_actions = True\n build_config[\"tool\"][\"show\"] = False\n\n elif field_name == \"tool_mode\":\n build_config[\"tool\"][\"placeholder\"] = \"\"\n build_config[\"tool\"][\"show\"] = not bool(field_value) and bool(build_config[\"mcp_server\"])\n self.remove_non_default_keys(build_config)\n self.tool = build_config[\"tool\"][\"value\"]\n if field_value:\n self._not_load_actions = True\n else:\n build_config[\"tool\"][\"value\"] = uuid.uuid4()\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"show\"] = True\n build_config[\"tool\"][\"placeholder\"] = \"Loading tools...\"\n elif field_name == \"tools_metadata\":\n self._not_load_actions = False\n\n except Exception as e:\n msg = f\"Error in update_build_config: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n else:\n return build_config\n\n def get_inputs_for_all_tools(self, tools: list) -> dict:\n \"\"\"Get input schemas for all tools.\"\"\"\n inputs = {}\n for tool in tools:\n if not tool or not hasattr(tool, \"name\"):\n continue\n try:\n flat_schema = flatten_schema(tool.args_schema.schema())\n input_schema = create_input_schema_from_json_schema(flat_schema)\n langflow_inputs = schema_to_langflow_inputs(input_schema)\n inputs[tool.name] = langflow_inputs\n except (AttributeError, ValueError, TypeError, KeyError) as e:\n msg = f\"Error getting inputs for tool {getattr(tool, 'name', 'unknown')}: {e!s}\"\n logger.exception(msg)\n continue\n return inputs\n\n def remove_non_default_keys(self, build_config: dict) -> None:\n \"\"\"Remove non-default keys from the build config.\"\"\"\n for key in list(build_config.keys()):\n if key not in self.default_keys:\n build_config.pop(key)\n\n async def _update_tool_config(self, build_config: dict, tool_name: str) -> None:\n \"\"\"Update tool configuration with proper error handling.\"\"\"\n if not self.tools:\n self.tools, build_config[\"mcp_server\"][\"value\"] = await self.update_tool_list()\n\n if not tool_name:\n return\n\n tool_obj = next((tool for tool in self.tools if tool.name == tool_name), None)\n if not tool_obj:\n msg = f\"Tool {tool_name} not found in available tools: {self.tools}\"\n self.remove_non_default_keys(build_config)\n build_config[\"tool\"][\"value\"] = \"\"\n await logger.awarning(msg)\n return\n\n try:\n # Store current values before removing inputs (only for the current tool)\n current_values = {}\n for key, value in build_config.items():\n if key not in self.default_keys and isinstance(value, dict) and \"value\" in value:\n current_values[key] = value[\"value\"]\n\n # Remove ALL non-default keys (all previous tool inputs)\n self.remove_non_default_keys(build_config)\n\n # Get and validate new inputs for the selected tool\n self.schema_inputs = await self._validate_schema_inputs(tool_obj)\n if not self.schema_inputs:\n msg = f\"No input parameters to configure for tool '{tool_name}'\"\n await logger.ainfo(msg)\n return\n\n # Add new inputs to build config for the selected tool only\n for schema_input in self.schema_inputs:\n if not schema_input or not hasattr(schema_input, \"name\"):\n msg = \"Invalid schema input detected, skipping\"\n await logger.awarning(msg)\n continue\n\n try:\n name = schema_input.name\n input_dict = schema_input.to_dict()\n input_dict.setdefault(\"value\", None)\n input_dict.setdefault(\"required\", True)\n\n build_config[name] = input_dict\n\n # Preserve existing value if the parameter name exists in current_values\n if name in current_values:\n build_config[name][\"value\"] = current_values[name]\n\n except (AttributeError, KeyError, TypeError) as e:\n msg = f\"Error processing schema input {schema_input}: {e!s}\"\n await logger.aexception(msg)\n continue\n except ValueError as e:\n msg = f\"Schema validation error for tool {tool_name}: {e!s}\"\n await logger.aexception(msg)\n self.schema_inputs = []\n return\n except (AttributeError, KeyError, TypeError) as e:\n msg = f\"Error updating tool config: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n\n async def build_output(self) -> DataFrame:\n \"\"\"Build output with improved error handling and validation.\"\"\"\n try:\n self.tools, _ = await self.update_tool_list()\n if self.tool != \"\":\n # Set session context for persistent MCP sessions using Langflow session ID\n session_context = self._get_session_context()\n if session_context:\n self.stdio_client.set_session_context(session_context)\n self.streamable_http_client.set_session_context(session_context)\n exec_tool = self._tool_cache[self.tool]\n tool_args = self.get_inputs_for_all_tools(self.tools)[self.tool]\n kwargs = {}\n for arg in tool_args:\n value = getattr(self, arg.name, None)\n if value is not None:\n if isinstance(value, Message):\n kwargs[arg.name] = value.text\n else:\n kwargs[arg.name] = value\n\n unflattened_kwargs = maybe_unflatten_dict(kwargs)\n\n output = await exec_tool.coroutine(**unflattened_kwargs)\n tool_content = []\n for item in output.content:\n item_dict = item.model_dump()\n item_dict = self.process_output_item(item_dict)\n tool_content.append(item_dict)\n\n if isinstance(tool_content, list) and all(isinstance(x, dict) for x in tool_content):\n return DataFrame(tool_content)\n return DataFrame(data=tool_content)\n return DataFrame(data=[{\"error\": \"You must select a tool\"}])\n except Exception as e:\n msg = f\"Error in build_output: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n\n def process_output_item(self, item_dict):\n \"\"\"Process the output of a tool.\"\"\"\n if item_dict.get(\"type\") == \"text\":\n text = item_dict.get(\"text\")\n try:\n parsed = json.loads(text)\n # Ensure we always return a dictionary for DataFrame compatibility\n if isinstance(parsed, dict):\n return parsed\n # Wrap non-dict parsed values in a dictionary\n return {\"text\": text, \"parsed_value\": parsed, \"type\": \"text\"} # noqa: TRY300\n except json.JSONDecodeError:\n return item_dict\n return item_dict\n\n def _get_session_context(self) -> str | None:\n \"\"\"Get the Langflow session ID for MCP session caching.\"\"\"\n # Try to get session ID from the component's execution context\n if hasattr(self, \"graph\") and hasattr(self.graph, \"session_id\"):\n session_id = self.graph.session_id\n # Include server name to ensure different servers get different sessions\n server_name = \"\"\n mcp_server = getattr(self, \"mcp_server\", None)\n if isinstance(mcp_server, dict):\n server_name = mcp_server.get(\"name\", \"\")\n elif mcp_server:\n server_name = str(mcp_server)\n return f\"{session_id}_{server_name}\" if session_id else None\n return None\n\n async def _get_tools(self):\n \"\"\"Get cached tools or update if necessary.\"\"\"\n mcp_server = getattr(self, \"mcp_server\", None)\n if not self._not_load_actions:\n tools, _ = await self.update_tool_list(mcp_server)\n return tools\n return []\n" }, "is_refresh": false, "mcp_server": { "_input_type": "McpInput", "advanced": false, "display_name": "MCP Server", "dynamic": false, "info": "Select the MCP Server that will be used by this component", "load_from_db": false, "name": "mcp_server", "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "mcp", "value": { "config": { "url": "http://localhost:8111/sse", "verify_ssl": true }, "name": "crm" } }, "tool": { "_input_type": "DropdownInput", "advanced": false, "combobox": false, "dialog_inputs": {}, "display_name": "Tool", "dynamic": false, "external_options": {}, "info": "Select the tool to execute", "name": "tool", "options": [ "get_accounts_accounts", "create_account_accounts", "get_account_accounts", "update_account_accounts", "delete_account_accounts", "get_leads_leads", "create_lead_leads", "get_lead_leads", "update_lead_leads", "delete_lead_leads", "get_contacts_contacts", "create_contact_contacts", "get_contact_contacts", "update_contact_contacts", "delete_contact_contacts", "get_opportunities_opportunities", "create_opportunity_opportunities", "get_opportunity_opportunities", "update_opportunity_opportunities", "delete_opportunity_opportunities" ], "options_metadata": [], "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": true, "show": false, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "" }, "tool_placeholder": { "_input_type": "MessageTextInput", "advanced": false, "display_name": "Tool Placeholder", "dynamic": false, "info": "Placeholder for the tool", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "tool_placeholder", "override_skip": false, "placeholder": "", "required": false, "show": false, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "tools_metadata": { "_input_type": "ToolsInput", "advanced": false, "display_name": "Actions", "dynamic": false, "info": "Modify tool names and descriptions to help agents understand when to use each tool.", "is_list": true, "list_add_label": "Add More", "name": "tools_metadata", "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "tools", "value": [ { "args": { "limit": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 20, "title": "Limit" }, "skip": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 0, "title": "Skip" }, "state": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Filter accounts by state", "title": "State" } }, "description": "Get Accounts\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n- **state**: Filter accounts by state\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Accounts\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n- **state**: Filter accounts by state\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_accounts_accounts", "name": "get_accounts_accounts", "readonly": false, "status": true, "tags": [ "get_accounts_accounts" ] }, { "args": { "address": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Address" }, "annual_revenue": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Annual Revenue" }, "city": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "City" }, "country": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Country" }, "employee_count": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Employee Count" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Industry" }, "name": { "title": "Name", "type": "string" }, "phone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Phone" }, "region": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Region" }, "state": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "State" }, "website": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Website" } }, "description": "Create Account\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"industry\": \"unknown_type\",\n \"website\": \"unknown_type\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Create Account\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"industry\": \"unknown_type\",\n \"website\": \"unknown_type\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "create_account_accounts", "name": "create_account_accounts", "readonly": false, "status": true, "tags": [ "create_account_accounts" ] }, { "args": { "account_id": { "title": "Account Id", "type": "integer" } }, "description": "Get Account\n\n\n**Path Parameters:**\n\n- **account_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"industry\": \"unknown_type\",\n \"website\": \"unknown_type\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Account\n\n\n**Path Parameters:**\n\n- **account_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"industry\": \"unknown_type\",\n \"website\": \"unknown_type\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_account_accounts", "name": "get_account_accounts", "readonly": false, "status": true, "tags": [ "get_account_accounts" ] }, { "args": { "account_id": { "title": "Account Id", "type": "integer" }, "address": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Address" }, "annual_revenue": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Annual Revenue" }, "city": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "City" }, "country": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Country" }, "email": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Email" }, "employee_count": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Employee Count" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Industry" }, "name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Name" }, "phone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Phone" }, "region": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Region" }, "state": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "State" }, "website": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Website" } }, "description": "Update Account\n\n\n**Path Parameters:**\n\n- **account_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"industry\": \"unknown_type\",\n \"website\": \"unknown_type\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Update Account\n\n\n**Path Parameters:**\n\n- **account_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"industry\": \"unknown_type\",\n \"website\": \"unknown_type\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "update_account_accounts", "name": "update_account_accounts", "readonly": false, "status": true, "tags": [ "update_account_accounts" ] }, { "args": { "account_id": { "title": "Account Id", "type": "integer" } }, "description": "Delete Account\n\n\n**Path Parameters:**\n\n- **account_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Delete Account\n\n\n**Path Parameters:**\n\n- **account_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "delete_account_accounts", "name": "delete_account_accounts", "readonly": false, "status": true, "tags": [ "delete_account_accounts" ] }, { "args": { "limit": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 20, "title": "Limit" }, "skip": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 0, "title": "Skip" } }, "description": "Get Leads\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Leads\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_leads_leads", "name": "get_leads_leads", "readonly": false, "status": true, "tags": [ "get_leads_leads" ] }, { "args": { "company": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Company" }, "email": { "title": "Email", "type": "string" }, "first_name": { "title": "First Name", "type": "string" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Industry" }, "job_title": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Job Title" }, "last_name": { "title": "Last Name", "type": "string" }, "notes": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Notes" }, "phone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Phone" }, "score": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 0, "title": "Score" }, "source": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Source" }, "status": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": "new", "title": "Status" } }, "description": "Create Lead\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Create Lead\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "create_lead_leads", "name": "create_lead_leads", "readonly": false, "status": true, "tags": [ "create_lead_leads" ] }, { "args": { "lead_id": { "title": "Lead Id", "type": "integer" } }, "description": "Get Lead\n\n\n**Path Parameters:**\n\n- **lead_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Lead\n\n\n**Path Parameters:**\n\n- **lead_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_lead_leads", "name": "get_lead_leads", "readonly": false, "status": true, "tags": [ "get_lead_leads" ] }, { "args": { "company": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Company" }, "email": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Email" }, "first_name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "First Name" }, "industry": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Industry" }, "job_title": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Job Title" }, "last_name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Last Name" }, "lead_id": { "title": "Lead Id", "type": "integer" }, "notes": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Notes" }, "phone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Phone" }, "score": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Score" }, "source": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Source" }, "status": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Status" } }, "description": "Update Lead\n\n\n**Path Parameters:**\n\n- **lead_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Update Lead\n\n\n**Path Parameters:**\n\n- **lead_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "update_lead_leads", "name": "update_lead_leads", "readonly": false, "status": true, "tags": [ "update_lead_leads" ] }, { "args": { "lead_id": { "title": "Lead Id", "type": "integer" } }, "description": "Delete Lead\n\n\n**Path Parameters:**\n\n- **lead_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Delete Lead\n\n\n**Path Parameters:**\n\n- **lead_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "delete_lead_leads", "name": "delete_lead_leads", "readonly": false, "status": true, "tags": [ "delete_lead_leads" ] }, { "args": { "email": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "description": "Filter contacts by email", "title": "Email" }, "limit": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 300, "title": "Limit" }, "skip": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 0, "title": "Skip" } }, "description": "Get Contacts\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n- **email**: Filter contacts by email\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Contacts\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n- **email**: Filter contacts by email\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_contacts_contacts", "name": "get_contacts_contacts", "readonly": false, "status": true, "tags": [ "get_contacts_contacts" ] }, { "args": { "account_id": { "title": "Account Id", "type": "integer" }, "department": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Department" }, "email": { "title": "Email", "type": "string" }, "first_name": { "title": "First Name", "type": "string" }, "is_primary": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": false, "title": "Is Primary" }, "job_title": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Job Title" }, "last_name": { "title": "Last Name", "type": "string" }, "phone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Phone" } }, "description": "Create Contact\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Create Contact\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "create_contact_contacts", "name": "create_contact_contacts", "readonly": false, "status": true, "tags": [ "create_contact_contacts" ] }, { "args": { "contact_id": { "title": "Contact Id", "type": "integer" } }, "description": "Get Contact\n\n\n**Path Parameters:**\n\n- **contact_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Contact\n\n\n**Path Parameters:**\n\n- **contact_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_contact_contacts", "name": "get_contact_contacts", "readonly": false, "status": true, "tags": [ "get_contact_contacts" ] }, { "args": { "account_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Account Id" }, "contact_id": { "title": "Contact Id", "type": "integer" }, "department": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Department" }, "email": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Email" }, "first_name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "First Name" }, "is_primary": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": null, "title": "Is Primary" }, "job_title": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Job Title" }, "last_name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Last Name" }, "phone": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Phone" } }, "description": "Update Contact\n\n\n**Path Parameters:**\n\n- **contact_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Update Contact\n\n\n**Path Parameters:**\n\n- **contact_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"first_name\": \"string\",\n \"last_name\": \"string\",\n \"email\": \"user@example.com\",\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "update_contact_contacts", "name": "update_contact_contacts", "readonly": false, "status": true, "tags": [ "update_contact_contacts" ] }, { "args": { "contact_id": { "title": "Contact Id", "type": "integer" } }, "description": "Delete Contact\n\n\n**Path Parameters:**\n\n- **contact_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Delete Contact\n\n\n**Path Parameters:**\n\n- **contact_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "delete_contact_contacts", "name": "delete_contact_contacts", "readonly": false, "status": true, "tags": [ "delete_contact_contacts" ] }, { "args": { "account_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "description": "Filter opportunities by account ID", "title": "Account Id" }, "limit": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 300, "title": "Limit" }, "skip": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": 0, "title": "Skip" } }, "description": "Get Opportunities\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n- **account_id**: Filter opportunities by account ID\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Opportunities\n\n\n**Query Parameters:**\n\n- **skip**: No description.\n\n- **limit**: No description.\n\n- **account_id**: Filter opportunities by account ID\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"items\": [\n \"unknown_type\"\n ],\n \"total\": 1,\n \"page\": 1,\n \"pages\": 1,\n \"per_page\": 1\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_opportunities_opportunities", "name": "get_opportunities_opportunities", "readonly": false, "status": true, "tags": [ "get_opportunities_opportunities" ] }, { "args": { "account_id": { "title": "Account Id", "type": "integer" }, "close_date": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Close Date" }, "currency": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": "USD", "title": "Currency" }, "description": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Description" }, "name": { "title": "Name", "type": "string" }, "probability": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": 0, "title": "Probability" }, "stage": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": "prospecting", "title": "Stage" }, "value": { "title": "Value", "type": "number" } }, "description": "Create Opportunity\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"description\": \"unknown_type\",\n \"value\": 1.5,\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Create Opportunity\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"description\": \"unknown_type\",\n \"value\": 1.5,\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "create_opportunity_opportunities", "name": "create_opportunity_opportunities", "readonly": false, "status": true, "tags": [ "create_opportunity_opportunities" ] }, { "args": { "opportunity_id": { "title": "Opportunity Id", "type": "integer" } }, "description": "Get Opportunity\n\n\n**Path Parameters:**\n\n- **opportunity_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"description\": \"unknown_type\",\n \"value\": 1.5,\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Get Opportunity\n\n\n**Path Parameters:**\n\n- **opportunity_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"description\": \"unknown_type\",\n \"value\": 1.5,\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "get_opportunity_opportunities", "name": "get_opportunity_opportunities", "readonly": false, "status": true, "tags": [ "get_opportunity_opportunities" ] }, { "args": { "account_id": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Account Id" }, "close_date": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Close Date" }, "currency": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Currency" }, "description": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Description" }, "name": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Name" }, "opportunity_id": { "title": "Opportunity Id", "type": "integer" }, "probability": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Probability" }, "stage": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": null, "title": "Stage" }, "value": { "anyOf": [ { "type": "number" }, { "type": "null" } ], "default": null, "title": "Value" } }, "description": "Update Opportunity\n\n\n**Path Parameters:**\n\n- **opportunity_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"description\": \"unknown_type\",\n \"value\": 1.5,\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Update Opportunity\n\n\n**Path Parameters:**\n\n- **opportunity_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"name\": \"string\",\n \"description\": \"unknown_type\",\n \"value\": 1.5,\n \"id\": 1,\n \"account_id\": 1,\n \"created_at\": \"2024-01-01T12:00:00Z\"\n}\n```\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "update_opportunity_opportunities", "name": "update_opportunity_opportunities", "readonly": false, "status": true, "tags": [ "update_opportunity_opportunities" ] }, { "args": { "opportunity_id": { "title": "Opportunity Id", "type": "integer" } }, "description": "Delete Opportunity\n\n\n**Path Parameters:**\n\n- **opportunity_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_description": "Delete Opportunity\n\n\n**Path Parameters:**\n\n- **opportunity_id** (Required): No description.\n\n\n**Responses:**\n\n- **200** (Success): Successful Response\n - Content-Type: `application/json`\n\n- **422**: Validation Error\n - Content-Type: `application/json`\n\n - **Response Properties:**\n\n - **Example:**\n```json\n{\n \"detail\": [\n \"unknown_type\"\n ]\n}\n```\n", "display_name": "delete_opportunity_opportunities", "name": "delete_opportunity_opportunities", "readonly": false, "status": true, "tags": [ "delete_opportunity_opportunities" ] } ] }, "use_cache": { "_input_type": "BoolInput", "advanced": true, "display_name": "Use Cached Server", "dynamic": false, "info": "Enable caching of MCP Server and tools to improve performance. Disable to always fetch fresh tools and server updates.", "list": false, "list_add_label": "Add More", "name": "use_cache", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": false }, "verify_ssl": { "_input_type": "BoolInput", "advanced": true, "display_name": "Verify SSL Certificate", "dynamic": false, "info": "Enable SSL certificate verification for HTTPS connections. Disable only for development/testing with self-signed certificates.", "list": false, "list_add_label": "Add More", "name": "verify_ssl", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true } }, "tool_mode": true }, "showNode": true, "type": "MCPTools" }, "dragging": false, "id": "MCPTools-YTBps", "measured": { "height": 367, "width": 320 }, "position": { "x": 702.9308078232846, "y": 68.58235352980056 }, "selected": false, "type": "genericNode" }, { "data": { "id": "MCPTools-6jiqJ", "node": { "base_classes": [ "DataFrame" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Connect to an MCP server to use its tools.", "display_name": "MCP Tools", "documentation": "https://docs.langflow.org/mcp-tools", "edited": false, "field_order": [ "mcp_server", "use_cache", "verify_ssl", "tool", "tool_placeholder" ], "frozen": false, "icon": "Mcp", "last_updated": "2025-12-18T10:50:05.653Z", "legacy": false, "lf_version": "1.7.0", "metadata": { "code_hash": "39187e27d938", "dependencies": { "dependencies": [ { "name": "langchain_core", "version": "0.3.80" }, { "name": "lfx", "version": null }, { "name": "langflow", "version": null } ], "total_dependencies": 3 }, "module": "custom_components.mcp_tools" }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Toolset", "group_outputs": false, "hidden": null, "loop_types": null, "method": "to_toolkit", "name": "component_as_tool", "options": null, "required_inputs": null, "selected": "Tool", "tool_mode": true, "types": [ "Tool" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_frontend_node_flow_id": { "value": "af63ae2e-2804-4ab5-9259-4e337a09a401" }, "_frontend_node_folder_id": { "value": "9d4e6e89-4355-4367-8927-de9e2800dfeb" }, "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from __future__ import annotations\n\nimport asyncio\nimport json\nimport uuid\n\nfrom langchain_core.tools import StructuredTool # noqa: TC002\n\nfrom lfx.base.agents.utils import maybe_unflatten_dict, safe_cache_get, safe_cache_set\nfrom lfx.base.mcp.util import (\n MCPStdioClient,\n MCPStreamableHttpClient,\n create_input_schema_from_json_schema,\n update_tools,\n)\nfrom lfx.custom.custom_component.component_with_cache import ComponentWithCache\nfrom lfx.inputs.inputs import InputTypes # noqa: TC001\nfrom lfx.io import BoolInput, DropdownInput, McpInput, MessageTextInput, Output\nfrom lfx.io.schema import flatten_schema, schema_to_langflow_inputs\nfrom lfx.log.logger import logger\nfrom lfx.schema.dataframe import DataFrame\nfrom lfx.schema.message import Message\nfrom lfx.services.deps import get_settings_service, get_storage_service, session_scope\n\n\ndef resolve_mcp_config(\n server_name: str, # noqa: ARG001\n server_config_from_value: dict | None,\n server_config_from_db: dict | None,\n) -> dict | None:\n \"\"\"Resolve MCP server config with proper precedence.\n\n Resolves the configuration for an MCP server with the following precedence:\n 1. Database config (takes priority) - ensures edits are reflected\n 2. Config from value/tweaks (fallback) - allows REST API to provide config for new servers\n\n Args:\n server_name: Name of the MCP server\n server_config_from_value: Config provided via value/tweaks (optional)\n server_config_from_db: Config from database (optional)\n\n Returns:\n Final config to use (DB takes priority, falls back to value)\n Returns None if no config found in either location\n \"\"\"\n if server_config_from_db:\n return server_config_from_db\n return server_config_from_value\n\n\nclass MCPToolsComponent(ComponentWithCache):\n schema_inputs: list = []\n tools: list[StructuredTool] = []\n _not_load_actions: bool = False\n _tool_cache: dict = {}\n _last_selected_server: str | None = None # Cache for the last selected server\n\n def __init__(self, **data) -> None:\n super().__init__(**data)\n # Initialize cache keys to avoid CacheMiss when accessing them\n self._ensure_cache_structure()\n\n # Initialize clients with access to the component cache\n self.stdio_client: MCPStdioClient = MCPStdioClient(component_cache=self._shared_component_cache)\n self.streamable_http_client: MCPStreamableHttpClient = MCPStreamableHttpClient(\n component_cache=self._shared_component_cache\n )\n\n def _ensure_cache_structure(self):\n \"\"\"Ensure the cache has the required structure.\"\"\"\n # Check if servers key exists and is not CacheMiss\n servers_value = safe_cache_get(self._shared_component_cache, \"servers\")\n if servers_value is None:\n safe_cache_set(self._shared_component_cache, \"servers\", {})\n\n # Check if last_selected_server key exists and is not CacheMiss\n last_server_value = safe_cache_get(self._shared_component_cache, \"last_selected_server\")\n if last_server_value is None:\n safe_cache_set(self._shared_component_cache, \"last_selected_server\", \"\")\n\n default_keys: list[str] = [\n \"code\",\n \"_type\",\n \"tool_mode\",\n \"tool_placeholder\",\n \"mcp_server\",\n \"tool\",\n \"use_cache\",\n \"verify_ssl\",\n ]\n\n display_name = \"MCP Tools\"\n description = \"Connect to an MCP server to use its tools.\"\n documentation: str = \"https://docs.langflow.org/mcp-tools\"\n icon = \"Mcp\"\n name = \"MCPTools\"\n\n inputs = [\n McpInput(\n name=\"mcp_server\",\n display_name=\"MCP Server\",\n info=\"Select the MCP Server that will be used by this component\",\n real_time_refresh=True,\n ),\n BoolInput(\n name=\"use_cache\",\n display_name=\"Use Cached Server\",\n info=(\n \"Enable caching of MCP Server and tools to improve performance. \"\n \"Disable to always fetch fresh tools and server updates.\"\n ),\n value=False,\n advanced=True,\n ),\n BoolInput(\n name=\"verify_ssl\",\n display_name=\"Verify SSL Certificate\",\n info=(\n \"Enable SSL certificate verification for HTTPS connections. \"\n \"Disable only for development/testing with self-signed certificates.\"\n ),\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"tool\",\n display_name=\"Tool\",\n options=[],\n value=\"\",\n info=\"Select the tool to execute\",\n show=False,\n required=True,\n real_time_refresh=True,\n ),\n MessageTextInput(\n name=\"tool_placeholder\",\n display_name=\"Tool Placeholder\",\n info=\"Placeholder for the tool\",\n value=\"\",\n show=False,\n tool_mode=False,\n ),\n ]\n\n outputs = [\n Output(display_name=\"Response\", name=\"response\", method=\"build_output\"),\n ]\n\n async def _validate_schema_inputs(self, tool_obj) -> list[InputTypes]:\n \"\"\"Validate and process schema inputs for a tool.\"\"\"\n try:\n if not tool_obj or not hasattr(tool_obj, \"args_schema\"):\n msg = \"Invalid tool object or missing input schema\"\n raise ValueError(msg)\n\n flat_schema = flatten_schema(tool_obj.args_schema.schema())\n input_schema = create_input_schema_from_json_schema(flat_schema)\n if not input_schema:\n msg = f\"Empty input schema for tool '{tool_obj.name}'\"\n raise ValueError(msg)\n\n schema_inputs = schema_to_langflow_inputs(input_schema)\n if not schema_inputs:\n msg = f\"No input parameters defined for tool '{tool_obj.name}'\"\n await logger.awarning(msg)\n return []\n\n except Exception as e:\n msg = f\"Error validating schema inputs: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n else:\n return schema_inputs\n\n async def update_tool_list(self, mcp_server_value=None):\n # Accepts mcp_server_value as dict {name, config} or uses self.mcp_server\n mcp_server = mcp_server_value if mcp_server_value is not None else getattr(self, \"mcp_server\", None)\n server_name = None\n server_config_from_value = None\n if isinstance(mcp_server, dict):\n server_name = mcp_server.get(\"name\")\n server_config_from_value = mcp_server.get(\"config\")\n else:\n server_name = mcp_server\n if not server_name:\n self.tools = []\n return [], {\"name\": server_name, \"config\": server_config_from_value}\n\n # Check if caching is enabled, default to False\n use_cache = getattr(self, \"use_cache\", False)\n\n # Use shared cache if available and caching is enabled\n cached = None\n if use_cache:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n cached = servers_cache.get(server_name) if isinstance(servers_cache, dict) else None\n\n if cached is not None:\n try:\n self.tools = cached[\"tools\"]\n self.tool_names = cached[\"tool_names\"]\n self._tool_cache = cached[\"tool_cache\"]\n server_config_from_value = cached[\"config\"]\n except (TypeError, KeyError, AttributeError) as e:\n # Handle corrupted cache data by clearing it and continuing to fetch fresh tools\n msg = f\"Unable to use cached data for MCP Server{server_name}: {e}\"\n await logger.awarning(msg)\n # Clear the corrupted cache entry\n current_servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(current_servers_cache, dict) and server_name in current_servers_cache:\n current_servers_cache.pop(server_name)\n safe_cache_set(self._shared_component_cache, \"servers\", current_servers_cache)\n else:\n return self.tools, {\"name\": server_name, \"config\": server_config_from_value}\n\n try:\n # Try to fetch from database first to ensure we have the latest config\n # This ensures database updates (like editing a server) take effect\n try:\n from langflow.api.v2.mcp import get_server\n from langflow.services.database.models.user.crud import get_user_by_id\n except ImportError as e:\n msg = (\n \"Langflow MCP server functionality is not available. \"\n \"This feature requires the full Langflow installation.\"\n )\n raise ImportError(msg) from e\n\n server_config_from_db = None\n async with session_scope() as db:\n if not self.user_id:\n msg = \"User ID is required for fetching MCP tools.\"\n raise ValueError(msg)\n current_user = await get_user_by_id(db, self.user_id)\n\n # Try to get server config from DB/API\n server_config_from_db = await get_server(\n server_name,\n current_user,\n db,\n storage_service=get_storage_service(),\n settings_service=get_settings_service(),\n )\n\n # Resolve config with proper precedence: DB takes priority, falls back to value\n server_config = resolve_mcp_config(\n server_name=server_name,\n server_config_from_value=server_config_from_value,\n server_config_from_db=server_config_from_db,\n )\n\n if not server_config:\n self.tools = []\n return [], {\"name\": server_name, \"config\": server_config}\n\n # Add verify_ssl option to server config if not present\n if \"verify_ssl\" not in server_config:\n verify_ssl = getattr(self, \"verify_ssl\", True)\n server_config[\"verify_ssl\"] = verify_ssl\n\n _, tool_list, tool_cache = await update_tools(\n server_name=server_name,\n server_config=server_config,\n mcp_stdio_client=self.stdio_client,\n mcp_streamable_http_client=self.streamable_http_client,\n )\n\n self.tool_names = [tool.name for tool in tool_list if hasattr(tool, \"name\")]\n self._tool_cache = tool_cache\n self.tools = tool_list\n\n # Cache the result only if caching is enabled\n if use_cache:\n cache_data = {\n \"tools\": tool_list,\n \"tool_names\": self.tool_names,\n \"tool_cache\": tool_cache,\n \"config\": server_config,\n }\n\n # Safely update the servers cache\n current_servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(current_servers_cache, dict):\n current_servers_cache[server_name] = cache_data\n safe_cache_set(self._shared_component_cache, \"servers\", current_servers_cache)\n\n except (TimeoutError, asyncio.TimeoutError) as e:\n msg = f\"Timeout updating tool list: {e!s}\"\n await logger.aexception(msg)\n raise TimeoutError(msg) from e\n except Exception as e:\n msg = f\"Error updating tool list: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n else:\n return tool_list, {\"name\": server_name, \"config\": server_config}\n\n async def update_build_config(self, build_config: dict, field_value: str, field_name: str | None = None) -> dict:\n \"\"\"Toggle the visibility of connection-specific fields based on the selected mode.\"\"\"\n try:\n if field_name == \"tool\":\n try:\n # Always refresh tools when cache is disabled, or when tools list is empty\n # This ensures database edits are reflected immediately when cache is disabled\n use_cache = getattr(self, \"use_cache\", False)\n if len(self.tools) == 0 or not use_cache:\n try:\n self.tools, build_config[\"mcp_server\"][\"value\"] = await self.update_tool_list()\n build_config[\"tool\"][\"options\"] = [tool.name for tool in self.tools]\n build_config[\"tool\"][\"placeholder\"] = \"Select a tool\"\n except (TimeoutError, asyncio.TimeoutError) as e:\n msg = f\"Timeout updating tool list: {e!s}\"\n await logger.aexception(msg)\n if not build_config[\"tools_metadata\"][\"show\"]:\n build_config[\"tool\"][\"show\"] = True\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"value\"] = \"\"\n build_config[\"tool\"][\"placeholder\"] = \"Timeout on MCP server\"\n else:\n build_config[\"tool\"][\"show\"] = False\n except ValueError:\n if not build_config[\"tools_metadata\"][\"show\"]:\n build_config[\"tool\"][\"show\"] = True\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"value\"] = \"\"\n build_config[\"tool\"][\"placeholder\"] = \"Error on MCP Server\"\n else:\n build_config[\"tool\"][\"show\"] = False\n\n if field_value == \"\":\n return build_config\n tool_obj = None\n for tool in self.tools:\n if tool.name == field_value:\n tool_obj = tool\n break\n if tool_obj is None:\n msg = f\"Tool {field_value} not found in available tools: {self.tools}\"\n await logger.awarning(msg)\n return build_config\n await self._update_tool_config(build_config, field_value)\n except Exception as e:\n build_config[\"tool\"][\"options\"] = []\n msg = f\"Failed to update tools: {e!s}\"\n raise ValueError(msg) from e\n else:\n return build_config\n elif field_name == \"mcp_server\":\n if not field_value:\n build_config[\"tool\"][\"show\"] = False\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"value\"] = \"\"\n build_config[\"tool\"][\"placeholder\"] = \"\"\n build_config[\"tool_placeholder\"][\"tool_mode\"] = False\n self.remove_non_default_keys(build_config)\n return build_config\n\n build_config[\"tool_placeholder\"][\"tool_mode\"] = True\n\n current_server_name = field_value.get(\"name\") if isinstance(field_value, dict) else field_value\n _last_selected_server = safe_cache_get(self._shared_component_cache, \"last_selected_server\", \"\")\n server_changed = current_server_name != _last_selected_server\n\n # Determine if \"Tool Mode\" is active by checking if the tool dropdown is hidden.\n is_in_tool_mode = build_config[\"tools_metadata\"][\"show\"]\n\n # Get use_cache setting to determine if we should use cached data\n use_cache = getattr(self, \"use_cache\", False)\n\n # Fast path: if server didn't change and we already have options, keep them as-is\n # BUT only if caching is enabled or we're in tool mode\n existing_options = build_config.get(\"tool\", {}).get(\"options\") or []\n if not server_changed and existing_options:\n # In non-tool mode with cache disabled, skip the fast path to force refresh\n if not is_in_tool_mode and not use_cache:\n pass # Continue to refresh logic below\n else:\n if not is_in_tool_mode:\n build_config[\"tool\"][\"show\"] = True\n return build_config\n\n # To avoid unnecessary updates, only proceed if the server has actually changed\n # OR if caching is disabled (to force refresh in non-tool mode)\n if (_last_selected_server in (current_server_name, \"\")) and build_config[\"tool\"][\"show\"] and use_cache:\n if current_server_name:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(servers_cache, dict):\n cached = servers_cache.get(current_server_name)\n if cached is not None and cached.get(\"tool_names\"):\n cached_tools = cached[\"tool_names\"]\n current_tools = build_config[\"tool\"][\"options\"]\n if current_tools == cached_tools:\n return build_config\n else:\n return build_config\n safe_cache_set(self._shared_component_cache, \"last_selected_server\", current_server_name)\n\n # When cache is disabled, clear any cached data for this server\n # This ensures we always fetch fresh data from the database\n if not use_cache and current_server_name:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(servers_cache, dict) and current_server_name in servers_cache:\n servers_cache.pop(current_server_name)\n safe_cache_set(self._shared_component_cache, \"servers\", servers_cache)\n\n # Check if tools are already cached for this server before clearing\n cached_tools = None\n if current_server_name and use_cache:\n servers_cache = safe_cache_get(self._shared_component_cache, \"servers\", {})\n if isinstance(servers_cache, dict):\n cached = servers_cache.get(current_server_name)\n if cached is not None:\n try:\n cached_tools = cached[\"tools\"]\n self.tools = cached_tools\n self.tool_names = cached[\"tool_names\"]\n self._tool_cache = cached[\"tool_cache\"]\n except (TypeError, KeyError, AttributeError) as e:\n # Handle corrupted cache data by ignoring it\n msg = f\"Unable to use cached data for MCP Server,{current_server_name}: {e}\"\n await logger.awarning(msg)\n cached_tools = None\n\n # Clear tools when cache is disabled OR when we don't have cached tools\n # This ensures fresh tools are fetched after database edits\n if not cached_tools or not use_cache:\n self.tools = [] # Clear previous tools to force refresh\n\n # Clear previous tool inputs if:\n # 1. Server actually changed\n # 2. Cache is disabled (meaning tool list will be refreshed)\n if server_changed or not use_cache:\n self.remove_non_default_keys(build_config)\n\n # Only show the tool dropdown if not in tool_mode\n if not is_in_tool_mode:\n build_config[\"tool\"][\"show\"] = True\n if cached_tools:\n # Use cached tools to populate options immediately\n build_config[\"tool\"][\"options\"] = [tool.name for tool in cached_tools]\n build_config[\"tool\"][\"placeholder\"] = \"Select a tool\"\n else:\n # Show loading state only when we need to fetch tools\n build_config[\"tool\"][\"placeholder\"] = \"Loading tools...\"\n build_config[\"tool\"][\"options\"] = []\n # Force a value refresh when:\n # 1. Server changed\n # 2. We don't have cached tools\n # 3. Cache is disabled (to force refresh on config changes)\n if server_changed or not cached_tools or not use_cache:\n build_config[\"tool\"][\"value\"] = uuid.uuid4()\n else:\n # Keep the tool dropdown hidden if in tool_mode\n self._not_load_actions = True\n build_config[\"tool\"][\"show\"] = False\n\n elif field_name == \"tool_mode\":\n build_config[\"tool\"][\"placeholder\"] = \"\"\n build_config[\"tool\"][\"show\"] = not bool(field_value) and bool(build_config[\"mcp_server\"])\n self.remove_non_default_keys(build_config)\n self.tool = build_config[\"tool\"][\"value\"]\n if field_value:\n self._not_load_actions = True\n else:\n build_config[\"tool\"][\"value\"] = uuid.uuid4()\n build_config[\"tool\"][\"options\"] = []\n build_config[\"tool\"][\"show\"] = True\n build_config[\"tool\"][\"placeholder\"] = \"Loading tools...\"\n elif field_name == \"tools_metadata\":\n self._not_load_actions = False\n\n except Exception as e:\n msg = f\"Error in update_build_config: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n else:\n return build_config\n\n def get_inputs_for_all_tools(self, tools: list) -> dict:\n \"\"\"Get input schemas for all tools.\"\"\"\n inputs = {}\n for tool in tools:\n if not tool or not hasattr(tool, \"name\"):\n continue\n try:\n flat_schema = flatten_schema(tool.args_schema.schema())\n input_schema = create_input_schema_from_json_schema(flat_schema)\n langflow_inputs = schema_to_langflow_inputs(input_schema)\n inputs[tool.name] = langflow_inputs\n except (AttributeError, ValueError, TypeError, KeyError) as e:\n msg = f\"Error getting inputs for tool {getattr(tool, 'name', 'unknown')}: {e!s}\"\n logger.exception(msg)\n continue\n return inputs\n\n def remove_non_default_keys(self, build_config: dict) -> None:\n \"\"\"Remove non-default keys from the build config.\"\"\"\n for key in list(build_config.keys()):\n if key not in self.default_keys:\n build_config.pop(key)\n\n async def _update_tool_config(self, build_config: dict, tool_name: str) -> None:\n \"\"\"Update tool configuration with proper error handling.\"\"\"\n if not self.tools:\n self.tools, build_config[\"mcp_server\"][\"value\"] = await self.update_tool_list()\n\n if not tool_name:\n return\n\n tool_obj = next((tool for tool in self.tools if tool.name == tool_name), None)\n if not tool_obj:\n msg = f\"Tool {tool_name} not found in available tools: {self.tools}\"\n self.remove_non_default_keys(build_config)\n build_config[\"tool\"][\"value\"] = \"\"\n await logger.awarning(msg)\n return\n\n try:\n # Store current values before removing inputs (only for the current tool)\n current_values = {}\n for key, value in build_config.items():\n if key not in self.default_keys and isinstance(value, dict) and \"value\" in value:\n current_values[key] = value[\"value\"]\n\n # Remove ALL non-default keys (all previous tool inputs)\n self.remove_non_default_keys(build_config)\n\n # Get and validate new inputs for the selected tool\n self.schema_inputs = await self._validate_schema_inputs(tool_obj)\n if not self.schema_inputs:\n msg = f\"No input parameters to configure for tool '{tool_name}'\"\n await logger.ainfo(msg)\n return\n\n # Add new inputs to build config for the selected tool only\n for schema_input in self.schema_inputs:\n if not schema_input or not hasattr(schema_input, \"name\"):\n msg = \"Invalid schema input detected, skipping\"\n await logger.awarning(msg)\n continue\n\n try:\n name = schema_input.name\n input_dict = schema_input.to_dict()\n input_dict.setdefault(\"value\", None)\n input_dict.setdefault(\"required\", True)\n\n build_config[name] = input_dict\n\n # Preserve existing value if the parameter name exists in current_values\n if name in current_values:\n build_config[name][\"value\"] = current_values[name]\n\n except (AttributeError, KeyError, TypeError) as e:\n msg = f\"Error processing schema input {schema_input}: {e!s}\"\n await logger.aexception(msg)\n continue\n except ValueError as e:\n msg = f\"Schema validation error for tool {tool_name}: {e!s}\"\n await logger.aexception(msg)\n self.schema_inputs = []\n return\n except (AttributeError, KeyError, TypeError) as e:\n msg = f\"Error updating tool config: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n\n async def build_output(self) -> DataFrame:\n \"\"\"Build output with improved error handling and validation.\"\"\"\n try:\n self.tools, _ = await self.update_tool_list()\n if self.tool != \"\":\n # Set session context for persistent MCP sessions using Langflow session ID\n session_context = self._get_session_context()\n if session_context:\n self.stdio_client.set_session_context(session_context)\n self.streamable_http_client.set_session_context(session_context)\n exec_tool = self._tool_cache[self.tool]\n tool_args = self.get_inputs_for_all_tools(self.tools)[self.tool]\n kwargs = {}\n for arg in tool_args:\n value = getattr(self, arg.name, None)\n if value is not None:\n if isinstance(value, Message):\n kwargs[arg.name] = value.text\n else:\n kwargs[arg.name] = value\n\n unflattened_kwargs = maybe_unflatten_dict(kwargs)\n\n output = await exec_tool.coroutine(**unflattened_kwargs)\n tool_content = []\n for item in output.content:\n item_dict = item.model_dump()\n item_dict = self.process_output_item(item_dict)\n tool_content.append(item_dict)\n\n if isinstance(tool_content, list) and all(isinstance(x, dict) for x in tool_content):\n return DataFrame(tool_content)\n return DataFrame(data=tool_content)\n return DataFrame(data=[{\"error\": \"You must select a tool\"}])\n except Exception as e:\n msg = f\"Error in build_output: {e!s}\"\n await logger.aexception(msg)\n raise ValueError(msg) from e\n\n def process_output_item(self, item_dict):\n \"\"\"Process the output of a tool.\"\"\"\n if item_dict.get(\"type\") == \"text\":\n text = item_dict.get(\"text\")\n try:\n parsed = json.loads(text)\n # Ensure we always return a dictionary for DataFrame compatibility\n if isinstance(parsed, dict):\n return parsed\n # Wrap non-dict parsed values in a dictionary\n return {\"text\": text, \"parsed_value\": parsed, \"type\": \"text\"} # noqa: TRY300\n except json.JSONDecodeError:\n return item_dict\n return item_dict\n\n def _get_session_context(self) -> str | None:\n \"\"\"Get the Langflow session ID for MCP session caching.\"\"\"\n # Try to get session ID from the component's execution context\n if hasattr(self, \"graph\") and hasattr(self.graph, \"session_id\"):\n session_id = self.graph.session_id\n # Include server name to ensure different servers get different sessions\n server_name = \"\"\n mcp_server = getattr(self, \"mcp_server\", None)\n if isinstance(mcp_server, dict):\n server_name = mcp_server.get(\"name\", \"\")\n elif mcp_server:\n server_name = str(mcp_server)\n return f\"{session_id}_{server_name}\" if session_id else None\n return None\n\n async def _get_tools(self):\n \"\"\"Get cached tools or update if necessary.\"\"\"\n mcp_server = getattr(self, \"mcp_server\", None)\n if not self._not_load_actions:\n tools, _ = await self.update_tool_list(mcp_server)\n return tools\n return []\n" }, "is_refresh": false, "mcp_server": { "_input_type": "McpInput", "advanced": false, "display_name": "MCP Server", "dynamic": false, "info": "Select the MCP Server that will be used by this component", "load_from_db": false, "name": "mcp_server", "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "mcp", "value": { "config": { "url": "http://localhost:8112/sse", "verify_ssl": true }, "name": "file_system" } }, "tool": { "_input_type": "DropdownInput", "advanced": false, "combobox": false, "dialog_inputs": {}, "display_name": "Tool", "dynamic": false, "external_options": {}, "info": "Select the tool to execute", "name": "tool", "options": [], "options_metadata": [], "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": true, "show": false, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "" }, "tool_placeholder": { "_input_type": "MessageTextInput", "advanced": false, "display_name": "Tool Placeholder", "dynamic": false, "info": "Placeholder for the tool", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "tool_placeholder", "override_skip": false, "placeholder": "", "required": false, "show": false, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "tools_metadata": { "_input_type": "ToolsInput", "advanced": false, "display_name": "Actions", "dynamic": false, "info": "Modify tool names and descriptions to help agents understand when to use each tool.", "is_list": true, "list_add_label": "Add More", "name": "tools_metadata", "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "tools", "value": [ { "args": { "head": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Head" }, "path": { "title": "Path", "type": "string" }, "tail": { "anyOf": [ { "type": "integer" }, { "type": "null" } ], "default": null, "title": "Tail" } }, "description": "\n Read the complete contents of a file from the file system as text.\n Handles various text encodings and provides detailed error messages if the file cannot be read.\n Use the 'head' parameter to read only the first N lines of a file, or the 'tail' parameter\n to read only the last N lines of a file. Only works within allowed directories.\n\n Args:\n path: Path to the file to read\n tail: If provided, returns only the last N lines of the file\n head: If provided, returns only the first N lines of the file\n ", "display_description": "\n Read the complete contents of a file from the file system as text.\n Handles various text encodings and provides detailed error messages if the file cannot be read.\n Use the 'head' parameter to read only the first N lines of a file, or the 'tail' parameter\n to read only the last N lines of a file. Only works within allowed directories.\n\n Args:\n path: Path to the file to read\n tail: If provided, returns only the last N lines of the file\n head: If provided, returns only the first N lines of the file\n ", "display_name": "read_text_file", "name": "read_text_file", "readonly": false, "status": true, "tags": [ "read_text_file" ] }, { "args": { "path": { "title": "Path", "type": "string" } }, "description": "\n Read an image or audio file. Returns the base64 encoded data and MIME type.\n Only works within allowed directories.\n\n Args:\n path: Path to the media file\n ", "display_description": "\n Read an image or audio file. Returns the base64 encoded data and MIME type.\n Only works within allowed directories.\n\n Args:\n path: Path to the media file\n ", "display_name": "read_media_file", "name": "read_media_file", "readonly": false, "status": true, "tags": [ "read_media_file" ] }, { "args": { "paths": { "items": { "type": "string" }, "title": "Paths", "type": "array" } }, "description": "\n Read the contents of multiple files simultaneously. This is more efficient than reading\n files one by one when you need to analyze or compare multiple files. Each file's content\n is returned with its path as a reference. Failed reads for individual files won't stop\n the entire operation. Only works within allowed directories.\n\n Args:\n paths: Array of file paths to read\n ", "display_description": "\n Read the contents of multiple files simultaneously. This is more efficient than reading\n files one by one when you need to analyze or compare multiple files. Each file's content\n is returned with its path as a reference. Failed reads for individual files won't stop\n the entire operation. Only works within allowed directories.\n\n Args:\n paths: Array of file paths to read\n ", "display_name": "read_multiple_files", "name": "read_multiple_files", "readonly": false, "status": true, "tags": [ "read_multiple_files" ] }, { "args": { "content": { "title": "Content", "type": "string" }, "path": { "title": "Path", "type": "string" } }, "description": "\n Create a new file or completely overwrite an existing file with new content.\n Use with caution as it will overwrite existing files without warning.\n Handles text content with proper encoding. Only works within allowed directories.\n\n Args:\n path: Path to the file to write\n content: Content to write to the file\n ", "display_description": "\n Create a new file or completely overwrite an existing file with new content.\n Use with caution as it will overwrite existing files without warning.\n Handles text content with proper encoding. Only works within allowed directories.\n\n Args:\n path: Path to the file to write\n content: Content to write to the file\n ", "display_name": "write_file", "name": "write_file", "readonly": false, "status": true, "tags": [ "write_file" ] }, { "args": { "dryRun": { "anyOf": [ { "type": "boolean" }, { "type": "null" } ], "default": false, "title": "Dryrun" }, "edits": { "items": { "$ref": "#/$defs/AnonModel0" }, "title": "Edits", "type": "array" }, "path": { "title": "Path", "type": "string" } }, "description": "\n Make line-based edits to a text file. Each edit replaces exact line sequences\n with new content. Returns a git-style diff showing the changes made.\n Only works within allowed directories.\n\n Args:\n path: Path to the file to edit\n edits: List of edit operations, each with 'oldText' and 'newText'\n dryRun: Preview changes using git-style diff format without applying them\n ", "display_description": "\n Make line-based edits to a text file. Each edit replaces exact line sequences\n with new content. Returns a git-style diff showing the changes made.\n Only works within allowed directories.\n\n Args:\n path: Path to the file to edit\n edits: List of edit operations, each with 'oldText' and 'newText'\n dryRun: Preview changes using git-style diff format without applying them\n ", "display_name": "edit_file", "name": "edit_file", "readonly": false, "status": true, "tags": [ "edit_file" ] }, { "args": { "path": { "title": "Path", "type": "string" } }, "description": "\n Create a new directory or ensure a directory exists. Can create multiple nested\n directories in one operation. If the directory already exists, this operation\n will succeed silently. Perfect for setting up directory structures for projects\n or ensuring required paths exist. Only works within allowed directories.\n\n Args:\n path: Path to the directory to create\n ", "display_description": "\n Create a new directory or ensure a directory exists. Can create multiple nested\n directories in one operation. If the directory already exists, this operation\n will succeed silently. Perfect for setting up directory structures for projects\n or ensuring required paths exist. Only works within allowed directories.\n\n Args:\n path: Path to the directory to create\n ", "display_name": "create_directory", "name": "create_directory", "readonly": false, "status": true, "tags": [ "create_directory" ] }, { "args": { "path": { "title": "Path", "type": "string" } }, "description": "\n Get a detailed listing of all files and directories in a specified path.\n Results clearly distinguish between files and directories with [FILE] and [DIR]\n prefixes. This tool is essential for understanding directory structure and\n finding specific files within a directory. Only works within allowed directories.\n\n Args:\n path: Path to the directory to list\n ", "display_description": "\n Get a detailed listing of all files and directories in a specified path.\n Results clearly distinguish between files and directories with [FILE] and [DIR]\n prefixes. This tool is essential for understanding directory structure and\n finding specific files within a directory. Only works within allowed directories.\n\n Args:\n path: Path to the directory to list\n ", "display_name": "list_directory", "name": "list_directory", "readonly": false, "status": true, "tags": [ "list_directory" ] }, { "args": { "path": { "title": "Path", "type": "string" }, "sortBy": { "anyOf": [ { "type": "string" }, { "type": "null" } ], "default": "name", "title": "Sortby" } }, "description": "\n Get a detailed listing of all files and directories in a specified path, including sizes.\n Results clearly distinguish between files and directories with [FILE] and [DIR] prefixes.\n Only works within allowed directories.\n\n Args:\n path: Path to the directory to list\n sortBy: Sort entries by 'name' or 'size' (default: 'name')\n ", "display_description": "\n Get a detailed listing of all files and directories in a specified path, including sizes.\n Results clearly distinguish between files and directories with [FILE] and [DIR] prefixes.\n Only works within allowed directories.\n\n Args:\n path: Path to the directory to list\n sortBy: Sort entries by 'name' or 'size' (default: 'name')\n ", "display_name": "list_directory_with_sizes", "name": "list_directory_with_sizes", "readonly": false, "status": true, "tags": [ "list_directory_with_sizes" ] }, { "args": { "excludePatterns": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Excludepatterns" }, "path": { "title": "Path", "type": "string" } }, "description": "\n Get a recursive tree view of files and directories as a JSON structure.\n Each entry includes 'name', 'type' (file/directory), and 'children' for directories.\n Files have no children array, while directories always have a children array\n (which may be empty). The output is formatted with 2-space indentation for readability.\n Only works within allowed directories.\n\n Args:\n path: Path to the root directory\n excludePatterns: List of patterns to exclude\n ", "display_description": "\n Get a recursive tree view of files and directories as a JSON structure.\n Each entry includes 'name', 'type' (file/directory), and 'children' for directories.\n Files have no children array, while directories always have a children array\n (which may be empty). The output is formatted with 2-space indentation for readability.\n Only works within allowed directories.\n\n Args:\n path: Path to the root directory\n excludePatterns: List of patterns to exclude\n ", "display_name": "directory_tree", "name": "directory_tree", "readonly": false, "status": true, "tags": [ "directory_tree" ] }, { "args": { "destination": { "title": "Destination", "type": "string" }, "source": { "title": "Source", "type": "string" } }, "description": "\n Move or rename files and directories. Can move files between directories and rename\n them in a single operation. If the destination exists, the operation will fail.\n Works across different directories and can be used for simple renaming within the\n same directory. Both source and destination must be within allowed directories.\n\n Args:\n source: Source path\n destination: Destination path\n ", "display_description": "\n Move or rename files and directories. Can move files between directories and rename\n them in a single operation. If the destination exists, the operation will fail.\n Works across different directories and can be used for simple renaming within the\n same directory. Both source and destination must be within allowed directories.\n\n Args:\n source: Source path\n destination: Destination path\n ", "display_name": "move_file", "name": "move_file", "readonly": false, "status": true, "tags": [ "move_file" ] }, { "args": { "excludePatterns": { "anyOf": [ { "items": { "type": "string" }, "type": "array" }, { "type": "null" } ], "default": null, "title": "Excludepatterns" }, "path": { "title": "Path", "type": "string" }, "pattern": { "title": "Pattern", "type": "string" } }, "description": "\n Recursively search for files and directories matching a pattern.\n The patterns should be glob-style patterns that match paths relative to the working directory.\n Use pattern like '*.ext' to match files in current directory, and '**/*.ext' to match\n files in all subdirectories. Returns full paths to all matching items.\n Only searches within allowed directories.\n\n Args:\n path: Root path to search from\n pattern: Glob pattern to match\n excludePatterns: List of patterns to exclude\n ", "display_description": "\n Recursively search for files and directories matching a pattern.\n The patterns should be glob-style patterns that match paths relative to the working directory.\n Use pattern like '*.ext' to match files in current directory, and '**/*.ext' to match\n files in all subdirectories. Returns full paths to all matching items.\n Only searches within allowed directories.\n\n Args:\n path: Root path to search from\n pattern: Glob pattern to match\n excludePatterns: List of patterns to exclude\n ", "display_name": "search_files", "name": "search_files", "readonly": false, "status": true, "tags": [ "search_files" ] }, { "args": { "path": { "title": "Path", "type": "string" } }, "description": "\n Retrieve detailed metadata about a file or directory. Returns comprehensive information\n including size, creation time, last modified time, permissions, and type. This tool is\n perfect for understanding file characteristics without reading the actual content.\n Only works within allowed directories.\n\n Args:\n path: Path to the file or directory\n ", "display_description": "\n Retrieve detailed metadata about a file or directory. Returns comprehensive information\n including size, creation time, last modified time, permissions, and type. This tool is\n perfect for understanding file characteristics without reading the actual content.\n Only works within allowed directories.\n\n Args:\n path: Path to the file or directory\n ", "display_name": "get_file_info", "name": "get_file_info", "readonly": false, "status": true, "tags": [ "get_file_info" ] }, { "args": {}, "description": "\n Returns the list of directories that this server is allowed to access.\n Subdirectories within these allowed directories are also accessible.\n Use this to understand which directories and their nested paths are available\n before trying to access files.\n ", "display_description": "\n Returns the list of directories that this server is allowed to access.\n Subdirectories within these allowed directories are also accessible.\n Use this to understand which directories and their nested paths are available\n before trying to access files.\n ", "display_name": "list_allowed_directories", "name": "list_allowed_directories", "readonly": false, "status": true, "tags": [ "list_allowed_directories" ] } ] }, "use_cache": { "_input_type": "BoolInput", "advanced": true, "display_name": "Use Cached Server", "dynamic": false, "info": "Enable caching of MCP Server and tools to improve performance. Disable to always fetch fresh tools and server updates.", "list": false, "list_add_label": "Add More", "name": "use_cache", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": false }, "verify_ssl": { "_input_type": "BoolInput", "advanced": true, "display_name": "Verify SSL Certificate", "dynamic": false, "info": "Enable SSL certificate verification for HTTPS connections. Disable only for development/testing with self-signed certificates.", "list": false, "list_add_label": "Add More", "name": "verify_ssl", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true } }, "tool_mode": true }, "showNode": true, "type": "MCPTools" }, "dragging": false, "id": "MCPTools-6jiqJ", "measured": { "height": 311, "width": 320 }, "position": { "x": 1060.3921915115432, "y": 68.00162675057558 }, "selected": false, "type": "genericNode" }, { "data": { "id": "ComposioGmailAPIComponent-Rc6PI", "node": { "base_classes": [ "DataFrame" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "display_name": "Gmail", "documentation": "https://docs.composio.dev", "edited": false, "field_order": [ "entity_id", "api_key", "auth_mode", "auth_link", "client_id", "client_secret", "verification_token", "redirect_uri", "authorization_url", "token_url", "api_key_field", "generic_api_key", "token", "access_token", "refresh_token", "username", "password", "domain", "base_url", "bearer_token", "authorization_code", "scopes", "subdomain", "instance_url", "tenant_id", "action_button" ], "frozen": false, "icon": "Gmail", "last_updated": "2025-12-18T10:50:05.654Z", "legacy": false, "lf_version": "1.7.0", "metadata": { "code_hash": "d4b13ac8a3a1", "dependencies": { "dependencies": [ { "name": "lfx", "version": null } ], "total_dependencies": 1 }, "module": "lfx.components.composio.gmail_composio.ComposioGmailAPIComponent" }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Toolset", "group_outputs": false, "hidden": null, "loop_types": null, "method": "to_toolkit", "name": "component_as_tool", "options": null, "required_inputs": null, "selected": "Tool", "tool_mode": true, "types": [ "Tool" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_frontend_node_flow_id": { "input_types": [], "value": "af63ae2e-2804-4ab5-9259-4e337a09a401" }, "_frontend_node_folder_id": { "input_types": [], "value": "9d4e6e89-4355-4367-8927-de9e2800dfeb" }, "_type": "Component", "access_token": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Access Token", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "access_token", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "action_button": { "_input_type": "SortableListInput", "advanced": false, "display_name": "Action", "dynamic": false, "helper_text": "", "helper_text_metadata": {}, "info": "", "input_types": [], "limit": 1, "name": "action_button", "options": [ { "metadata": "GMAIL_ADD_LABEL_TO_EMAIL", "name": "Modify email labels" }, { "metadata": "GMAIL_BATCH_DELETE_MESSAGES", "name": "Batch delete Gmail messages" }, { "metadata": "GMAIL_BATCH_MODIFY_MESSAGES", "name": "Batch modify Gmail messages" }, { "metadata": "GMAIL_CREATE_EMAIL_DRAFT", "name": "Create email draft" }, { "metadata": "GMAIL_CREATE_LABEL", "name": "Create label" }, { "metadata": "GMAIL_DELETE_DRAFT", "name": "Delete Draft" }, { "metadata": "GMAIL_DELETE_MESSAGE", "name": "Delete message" }, { "metadata": "GMAIL_FETCH_EMAILS", "name": "Fetch emails" }, { "metadata": "GMAIL_FETCH_MESSAGE_BY_MESSAGE_ID", "name": "Fetch message by message ID" }, { "metadata": "GMAIL_FETCH_MESSAGE_BY_THREAD_ID", "name": "Fetch Message by Thread ID" }, { "metadata": "GMAIL_FORWARD_MESSAGE", "name": "Forward email message" }, { "metadata": "GMAIL_GET_ATTACHMENT", "name": "Get Gmail attachment" }, { "metadata": "GMAIL_GET_CONTACTS", "name": "Get contacts" }, { "metadata": "GMAIL_GET_PEOPLE", "name": "Get People" }, { "metadata": "GMAIL_GET_PROFILE", "name": "Get Profile" }, { "metadata": "GMAIL_LIST_DRAFTS", "name": "List drafts" }, { "metadata": "GMAIL_LIST_HISTORY", "name": "List Gmail history" }, { "metadata": "GMAIL_LIST_LABELS", "name": "List Gmail labels" }, { "metadata": "GMAIL_LIST_THREADS", "name": "List threads" }, { "metadata": "GMAIL_MODIFY_THREAD_LABELS", "name": "Modify thread labels" }, { "metadata": "GMAIL_MOVE_TO_TRASH", "name": "Move to Trash" }, { "metadata": "GMAIL_PATCH_LABEL", "name": "Patch Label" }, { "metadata": "GMAIL_REMOVE_LABEL", "name": "Remove label" }, { "metadata": "GMAIL_REPLY_TO_THREAD", "name": "Reply to email thread" }, { "metadata": "GMAIL_SEARCH_PEOPLE", "name": "Search People" }, { "metadata": "GMAIL_SEND_DRAFT", "name": "Send Draft" }, { "metadata": "GMAIL_SEND_EMAIL", "name": "Send Email" } ], "placeholder": "Select action", "real_time_refresh": true, "required": false, "search_category": [], "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "sortableList", "value": "disabled" }, "api_key": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Composio API Key", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "api_key", "password": true, "placeholder": "", "real_time_refresh": true, "required": true, "show": true, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "api_key_field": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "API Key", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "api_key_field", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "auth_link": { "_input_type": "AuthInput", "advanced": false, "auth_scheme": "OAUTH2", "auth_tooltip": "Disconnect", "connection_id": "ca_QDUb7GXDNDGi", "display_name": "", "dynamic": false, "info": "", "input_types": [], "name": "auth_link", "placeholder": "", "required": false, "show": false, "title_case": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "auth", "value": "validated" }, "auth_mode": { "_input_type": "TabInput", "advanced": false, "display_name": "Auth Mode", "dynamic": false, "info": "", "input_types": [], "name": "auth_mode", "options": [ "OAUTH2" ], "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "tab", "value": "OAUTH2" }, "authorization_code": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Authorization Code", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "authorization_code", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "authorization_url": { "_input_type": "StrInput", "advanced": false, "display_name": "Authorization URL", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "authorization_url", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "base_url": { "_input_type": "StrInput", "advanced": false, "display_name": "Base URL", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "base_url", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "bearer_token": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Bearer Token", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "bearer_token", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "client_id": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Client id", "dynamic": false, "info": "Client id of the app", "input_types": [], "load_from_db": false, "name": "client_id", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "client_secret": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Client secret", "dynamic": false, "info": "Client secret of the app", "input_types": [], "load_from_db": false, "name": "client_secret", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "input_types": [], "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": false, "title_case": false, "type": "code", "value": "from lfx.base.composio.composio_base import ComposioBaseComponent\n\n\nclass ComposioGmailAPIComponent(ComposioBaseComponent):\n display_name: str = \"Gmail\"\n icon = \"Gmail\"\n documentation: str = \"https://docs.composio.dev\"\n app_name = \"gmail\"\n\n def __init__(self, **kwargs):\n super().__init__(**kwargs)\n self.post_processors = {\n \"GMAIL_SEND_EMAIL\": self._process_send_email_response,\n \"GMAIL_FETCH_EMAILS\": self._process_fetch_emails_response,\n }\n\n def _process_send_email_response(self, raw_data):\n \"\"\"Post-processor for GMAIL_SEND_EMAIL action.\"\"\"\n if isinstance(raw_data, dict):\n response_data = raw_data.get(\"response_data\", raw_data)\n\n return {\n \"message_id\": response_data.get(\"id\"),\n \"thread_id\": response_data.get(\"threadId\"),\n \"label_ids\": response_data.get(\"labelIds\", []),\n }\n return raw_data\n\n def _process_fetch_emails_response(self, raw_data):\n \"\"\"Post-processor for GMAIL_FETCH_EMAILS action.\"\"\"\n if isinstance(raw_data, dict):\n messages = raw_data.get(\"messages\", [])\n if messages:\n return messages\n return raw_data\n\n def set_default_tools(self):\n \"\"\"Set the default tools for Gmail component.\"\"\"\n" }, "create_auth_config": { "input_types": [], "show": false }, "domain": { "_input_type": "StrInput", "advanced": false, "display_name": "Domain", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "domain", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "entity_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Entity ID", "dynamic": false, "info": "", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "entity_id", "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "default" }, "generic_api_key": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "API Key", "dynamic": false, "info": "Enter API key on Composio page", "input_types": [], "load_from_db": false, "name": "generic_api_key", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "instance_url": { "_input_type": "StrInput", "advanced": false, "display_name": "Instance URL", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "instance_url", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "is_refresh": false, "password": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Password", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "password", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "redirect_uri": { "_input_type": "StrInput", "advanced": false, "display_name": "Redirect URI", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "redirect_uri", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "refresh_token": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Refresh Token", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "refresh_token", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "scopes": { "_input_type": "StrInput", "advanced": false, "display_name": "Scopes", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "scopes", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "subdomain": { "_input_type": "StrInput", "advanced": false, "display_name": "Subdomain", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "subdomain", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "tenant_id": { "_input_type": "StrInput", "advanced": false, "display_name": "Tenant ID", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "tenant_id", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "token": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Token", "dynamic": false, "info": "", "input_types": [], "load_from_db": false, "name": "token", "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "token_url": { "_input_type": "StrInput", "advanced": false, "display_name": "Token URL", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "token_url", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "tool_mode": { "input_types": [], "value": true }, "tools_metadata": { "_input_type": "ToolsInput", "advanced": false, "display_name": "Actions", "dynamic": false, "info": "Modify tool names and descriptions to help agents understand when to use each tool.", "is_list": true, "list_add_label": "Add More", "name": "tools_metadata", "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "tools", "value": [ { "_uniqueId": "gmail_add_label_to_email_Modify email labels_0", "args": { "add_label_ids": { "default": [], "description": "Label IDs to add. For custom labels, obtain IDs via 'listLabels'. System labels (e.g., 'INBOX', 'SPAM', 'STARRED', 'IMPORTANT') can be used, but immutable system labels like 'DRAFT' and 'SENT' cannot be added or removed. At least one of 'add_label_ids' or 'remove_label_ids' must be non-empty.", "examples": [ "STARRED", "IMPORTANT", "Label_123" ], "items": { "type": "string" }, "title": "Add Label Ids", "type": "array" }, "message_id": { "description": "Immutable ID of the message to modify (e.g., from 'fetchEmails' or 'fetchMessagesByThreadId'). Please provide a value of type string. This parameter is required.", "examples": [ "17f1b2b9c1b2a3d4" ], "title": "Message Id", "type": "string" }, "remove_label_ids": { "default": [], "description": "Label IDs to remove. For custom labels, obtain IDs via 'listLabels'. System labels can be used, but immutable system labels like 'DRAFT' and 'SENT' cannot be added or removed via messages.modify. At least one of 'add_label_ids' or 'remove_label_ids' must be non-empty.", "examples": [ "UNREAD", "Label_456" ], "items": { "type": "string" }, "title": "Remove Label Ids", "type": "array" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Adds and/or removes specified Gmail labels for a message; ensure `message_id` and all `label_ids` are valid (use 'listLabels' for custom label IDs).", "display_description": "Adds and/or removes specified Gmail labels for a message; ensure `message_id` and all `label_ids` are valid (use 'listLabels' for custom label IDs).", "display_name": "Modify email labels", "name": "gmail_add_label_to_email", "readonly": true, "status": false, "tags": [ "GMAIL_ADD_LABEL_TO_EMAIL" ] }, { "_uniqueId": "gmail_batch_delete_messages_Batch delete Gmail messages_1", "args": { "ids": { "description": "List of message IDs to delete. Obtain IDs via list or fetch actions. This parameter is required.", "examples": [ [ "18c5f5d1a2b3c4d5", "18c5f5d1a2b3c4d6" ] ], "items": { "type": "string" }, "title": "Ids", "type": "array" }, "userId": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "Userid", "type": "string" } }, "description": "Tool to permanently delete multiple Gmail messages in bulk. Use when you need to efficiently remove large numbers of emails (e.g., retention enforcement, mailbox hygiene).", "display_description": "Tool to permanently delete multiple Gmail messages in bulk. Use when you need to efficiently remove large numbers of emails (e.g., retention enforcement, mailbox hygiene).", "display_name": "Batch delete Gmail messages", "name": "gmail_batch_delete_messages", "readonly": true, "status": false, "tags": [ "GMAIL_BATCH_DELETE_MESSAGES" ] }, { "_uniqueId": "gmail_batch_modify_messages_Batch modify Gmail messages_2", "args": { "addLabelIds": { "default": null, "description": "List of label IDs to add to the messages. Common label IDs: INBOX, STARRED, IMPORTANT, SENT, DRAFT, SPAM, TRASH, UNREAD. Use GMAIL_LIST_LABELS to get custom label IDs. Leave empty to skip adding labels.", "examples": [ [ "INBOX", "STARRED" ], [ "Label_123", "Label_456" ], [ "IMPORTANT" ] ], "items": { "type": "string" }, "title": "Addlabelids", "type": "array" }, "messageIds": { "description": "List of message IDs to modify. Maximum 1,000 message IDs per request. Get message IDs from GMAIL_FETCH_EMAILS or GMAIL_LIST_THREADS actions. This parameter is required.", "examples": [ [ "18c5f5d1a2b3c4d5", "18c5f5d1a2b3c4d6" ], [ "msg_id_1", "msg_id_2", "msg_id_3" ] ], "items": { "type": "string" }, "title": "Messageids", "type": "array" }, "removeLabelIds": { "default": null, "description": "List of label IDs to remove from the messages. Common use cases: Remove 'UNREAD' to mark as read, remove 'INBOX' to archive, remove 'SPAM' to unmark spam. Leave empty to skip removing labels.", "examples": [ [ "UNREAD" ], [ "INBOX", "UNREAD" ], [ "SPAM" ] ], "items": { "type": "string" }, "title": "Removelabelids", "type": "array" }, "userId": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "Userid", "type": "string" } }, "description": "Modify labels on multiple Gmail messages in one efficient API call. Supports up to 1,000 messages per request for bulk operations like archiving, marking as read/unread, or applying custom labels.", "display_description": "Modify labels on multiple Gmail messages in one efficient API call. Supports up to 1,000 messages per request for bulk operations like archiving, marking as read/unread, or applying custom labels.", "display_name": "Batch modify Gmail messages", "name": "gmail_batch_modify_messages", "readonly": true, "status": false, "tags": [ "GMAIL_BATCH_MODIFY_MESSAGES" ] }, { "_uniqueId": "gmail_create_email_draft_Create email draft_3", "args": { "attachment": { "default": null, "description": "File to attach to the email.", "examples": [], "title": "Attachment", "type": "string" }, "bcc": { "default": [], "description": "Blind Carbon Copy (BCC) recipients' email addresses. Atleast one of cc, bcc, or recipient_email must be provided.", "examples": [ [ "bcc.recipient@example.com" ] ], "items": { "type": "string" }, "title": "Bcc", "type": "array" }, "body": { "default": null, "description": "Email body content (plain text or HTML); `is_html` must be True if HTML. Either subject or body must be provided. Please provide a value of type string.", "examples": [ "Hello Team,\n\nPlease find the attached report for your review.\n\nBest regards,\nYour Name", "

Meeting Confirmation

This email confirms our meeting scheduled for next Tuesday.

" ], "title": "Body", "type": "string" }, "cc": { "default": [], "description": "Carbon Copy (CC) recipients' email addresses. Atleast one of cc, bcc, or recipient_email must be provided.", "examples": [ [ "cc.recipient1@example.com", "cc.recipient2@example.com" ] ], "items": { "type": "string" }, "title": "Cc", "type": "array" }, "extra_recipients": { "default": [], "description": "Additional 'To' recipients' email addresses (not Cc or Bcc). Should only be used if recipient_email is also provided.", "examples": [ [ "jane.doe@example.com", "another.recipient@example.com" ] ], "items": { "type": "string" }, "title": "Extra Recipients", "type": "array" }, "is_html": { "default": false, "description": "Set to True if `body` is HTML, otherwise the action may fail. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Is Html", "type": "boolean" }, "recipient_email": { "default": null, "description": "Primary recipient's email address. Required if cc and bcc is not provided, else can be optional. Use extra_recipients if you want to send to multiple recipients. Please provide a value of type string.", "examples": [ "john.doe@example.com" ], "title": "Recipient Email", "type": "string" }, "subject": { "default": null, "description": "Email subject line. Either subject or body must be provided. When creating a draft reply to an existing thread (thread_id provided), leave this empty to stay in the same thread. Setting a subject will create a NEW thread instead. Please provide a value of type string.", "examples": [ "Project Update Q3", "Meeting Reminder" ], "title": "Subject", "type": "string" }, "thread_id": { "default": null, "description": "ID of an existing Gmail thread to reply to; omit for new thread. Please provide a value of type string.", "examples": [ "17f45ec49a9c3f1b" ], "title": "Thread Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Creates a Gmail email draft, requiring at least one of recipient_email, cc, or bcc must be provided. Atleast one of subject or body must be provided. Supports To/Cc/Bcc, subject, plain/HTML body (ensure `is_html=True` for HTML), attachments, and threading. When creating a draft reply to an existing thread (thread_id provided), leave subject empty to stay in the same thread; setting a subject will create a NEW thread instead.", "display_description": "Creates a Gmail email draft, requiring at least one of recipient_email, cc, or bcc must be provided. Atleast one of subject or body must be provided. Supports To/Cc/Bcc, subject, plain/HTML body (ensure `is_html=True` for HTML), attachments, and threading. When creating a draft reply to an existing thread (thread_id provided), leave subject empty to stay in the same thread; setting a subject will create a NEW thread instead.", "display_name": "Create email draft", "name": "gmail_create_email_draft", "readonly": true, "status": false, "tags": [ "GMAIL_CREATE_EMAIL_DRAFT" ] }, { "_uniqueId": "gmail_create_label_Create label_4", "args": { "background_color": { "default": null, "description": "Background color for the label. Must be selected from Gmail's predefined color palette of over 100 colors (not arbitrary hex values). If setting a color, both background_color and text_color must be provided. See the official Color field documentation for the full palette: https://developers.google.com/workspace/gmail/api/reference/rest/v1/users.labels#Color. Please provide a value of type string.", "examples": [ "#4a86e8", "#43d692" ], "title": "Background Color", "type": "string" }, "label_list_visibility": { "default": "labelShow", "description": "Controls how the label is displayed in the label list in the Gmail sidebar. Please provide a value of type string.", "examples": [ "labelShow", "labelShowIfUnread", "labelHide" ], "title": "Label List Visibility", "type": "string" }, "label_name": { "description": "The name for the new label. Must be unique within the account, non-blank, maximum length 225 characters, cannot contain ',', '/', or '.' (period), not only whitespace, and must not be a reserved system label (e.g., INBOX, SENT, DRAFT, SPAM, TRASH, ALL_MAIL, CATEGORY_*). Please provide a value of type string. This parameter is required.", "examples": [ "Work", "Important Documents", "Receipts 2024" ], "title": "Label Name", "type": "string" }, "message_list_visibility": { "default": "show", "description": "Controls how messages with this label are displayed in the message list. Please provide a value of type string.", "examples": [ "show", "hide" ], "title": "Message List Visibility", "type": "string" }, "text_color": { "default": null, "description": "Text color for the label. Must be selected from Gmail's predefined color palette of over 100 colors (not arbitrary hex values). If setting a color, both text_color and background_color must be provided. See the official Color field documentation for the full palette: https://developers.google.com/workspace/gmail/api/reference/rest/v1/users.labels#Color. Please provide a value of type string.", "examples": [ "#000000", "#ffffff", "#aa8831" ], "title": "Text Color", "type": "string" }, "user_id": { "default": "me", "description": "The email address of the user in whose account the label will be created. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Creates a new label with a unique name in the specified user's Gmail account.", "display_description": "Creates a new label with a unique name in the specified user's Gmail account.", "display_name": "Create label", "name": "gmail_create_label", "readonly": true, "status": false, "tags": [ "GMAIL_CREATE_LABEL" ] }, { "_uniqueId": "gmail_delete_draft_Delete Draft_5", "args": { "draft_id": { "description": "Immutable ID of the draft to delete, typically obtained when the draft was created. Please provide a value of type string. This parameter is required.", "examples": [ "r-8388446164079304564" ], "title": "Draft Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user; 'me' is recommended. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Permanently deletes a specific Gmail draft using its ID; ensure the draft exists and the user has necessary permissions for the given `user_id`.", "display_description": "Permanently deletes a specific Gmail draft using its ID; ensure the draft exists and the user has necessary permissions for the given `user_id`.", "display_name": "Delete Draft", "name": "gmail_delete_draft", "readonly": true, "status": false, "tags": [ "GMAIL_DELETE_DRAFT" ] }, { "_uniqueId": "gmail_delete_message_Delete message_6", "args": { "message_id": { "description": "Identifier of the email message to delete. Please provide a value of type string. This parameter is required.", "examples": [ "185120e4428ba8cf", "17a872b77b9e7a3b" ], "title": "Message Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address. The special value 'me' refers to the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Permanently deletes a specific email message by its ID from a Gmail mailbox; for `user_id`, use 'me' for the authenticated user or an email address to which the authenticated user has delegated access.", "display_description": "Permanently deletes a specific email message by its ID from a Gmail mailbox; for `user_id`, use 'me' for the authenticated user or an email address to which the authenticated user has delegated access.", "display_name": "Delete message", "name": "gmail_delete_message", "readonly": true, "status": false, "tags": [ "GMAIL_DELETE_MESSAGE" ] }, { "_uniqueId": "gmail_fetch_emails_Fetch emails_7", "args": { "ids_only": { "default": false, "description": "If true, only returns message IDs from the list API without fetching individual message details. Fastest option for getting just message IDs and thread IDs. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Ids Only", "type": "boolean" }, "include_payload": { "default": true, "description": "Set to true to include full message payload (headers, body, attachments); false for metadata only. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Include Payload", "type": "boolean" }, "include_spam_trash": { "default": false, "description": "Set to true to include messages from 'SPAM' and 'TRASH'. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Include Spam Trash", "type": "boolean" }, "label_ids": { "default": null, "description": "Filter by label IDs; only messages with all specified labels are returned. Common IDs: 'INBOX', 'SPAM', 'TRASH', 'UNREAD', 'STARRED', 'IMPORTANT', 'CATEGORY_PRIMARY' (alias 'CATEGORY_PERSONAL'), 'CATEGORY_SOCIAL', 'CATEGORY_PROMOTIONS', 'CATEGORY_UPDATES', 'CATEGORY_FORUMS'. Use 'listLabels' action for custom IDs.", "examples": [], "items": { "type": "string" }, "title": "Label Ids", "type": "array" }, "max_results": { "default": 1, "description": "Maximum number of messages to retrieve per page. Please provide a value of type integer.", "examples": [ "10", "100", "500" ], "title": "Max Results", "type": "integer" }, "page_token": { "default": null, "description": "Token for retrieving a specific page, obtained from a previous response's `nextPageToken`. Omit for the first page. Please provide a value of type string.", "examples": [], "title": "Page Token", "type": "string" }, "query": { "default": null, "description": "Gmail advanced search query (e.g., 'from:user subject:meeting'). Supports operators like 'from:', 'to:', 'subject:', 'label:', 'has:attachment', 'is:unread', 'after:YYYY/MM/DD', 'before:YYYY/MM/DD', AND/OR/NOT. Use quotes for exact phrases. Omit for no query filter. Please provide a value of type string.", "examples": [ "from:john@example.com is:unread", "subject:meeting has:attachment", "after:2024/01/01 before:2024/02/01", "is:important OR is:starred", "label:work -label:spam" ], "title": "Query", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" }, "verbose": { "default": true, "description": "If false, uses optimized concurrent metadata fetching for faster performance (~75% improvement). If true, uses standard detailed message fetching. When false, only essential fields (subject, sender, recipient, time, labels) are guaranteed. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Verbose", "type": "boolean" } }, "description": "Fetches a list of email messages from a Gmail account, supporting filtering, pagination, and optional full content retrieval.", "display_description": "Fetches a list of email messages from a Gmail account, supporting filtering, pagination, and optional full content retrieval.", "display_name": "Fetch emails", "name": "gmail_fetch_emails", "readonly": true, "status": false, "tags": [ "GMAIL_FETCH_EMAILS" ] }, { "_uniqueId": "gmail_fetch_message_by_message_id_Fetch message by message ID_8", "args": { "format": { "default": "full", "description": "Format for message content: 'minimal' (ID/labels), 'full' (complete data), 'raw' (base64url string), 'metadata' (ID/labels/headers). Please provide a value of type string.", "examples": [ "minimal", "full", "raw", "metadata" ], "title": "Format", "type": "string" }, "message_id": { "description": "Unique ID of the email message to retrieve, obtainable from actions like 'List Messages'. Please provide a value of type string. This parameter is required.", "examples": [ "xsdfe3264vrfw" ], "title": "Message Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "user@example.com", "me" ], "title": "User Id", "type": "string" } }, "description": "Fetches a specific email message by its ID, provided the `message_id` exists and is accessible to the authenticated `user_id`.", "display_description": "Fetches a specific email message by its ID, provided the `message_id` exists and is accessible to the authenticated `user_id`.", "display_name": "Fetch message by message ID", "name": "gmail_fetch_message_by_message_id", "readonly": true, "status": false, "tags": [ "GMAIL_FETCH_MESSAGE_BY_MESSAGE_ID" ] }, { "_uniqueId": "gmail_fetch_message_by_thread_id_Fetch Message by Thread ID_9", "args": { "page_token": { "default": "", "description": "Opaque page token for fetching a specific page of messages if results are paginated. Please provide a value of type string.", "examples": [ "CiAKGhIKJdealEffectivelyPageToken" ], "title": "Page Token", "type": "string" }, "thread_id": { "description": "Unique ID of the thread, obtainable from actions like 'listThreads' or 'fetchEmails'. Please provide a value of type string. This parameter is required.", "examples": [ "xsdfe3264vrfw" ], "title": "Thread Id", "type": "string" }, "user_id": { "default": "me", "description": "The email address of the user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Retrieves messages from a Gmail thread using its `thread_id`, where the thread must be accessible by the specified `user_id`.", "display_description": "Retrieves messages from a Gmail thread using its `thread_id`, where the thread must be accessible by the specified `user_id`.", "display_name": "Fetch Message by Thread ID", "name": "gmail_fetch_message_by_thread_id", "readonly": true, "status": false, "tags": [ "GMAIL_FETCH_MESSAGE_BY_THREAD_ID" ] }, { "_uniqueId": "gmail_forward_message_Forward email message_10", "args": { "additional_text": { "default": null, "description": "Optional additional text to include before the forwarded content. Please provide a value of type string.", "examples": [ "Please see the forwarded message below." ], "title": "Additional Text", "type": "string" }, "message_id": { "description": "ID of the message to forward, obtainable from actions like 'List Messages'. Please provide a value of type string. This parameter is required.", "examples": [ "17f45ec49a9c3f1b" ], "title": "Message Id", "type": "string" }, "recipient_email": { "description": "Email address to forward the message to. Please provide a value of type string. This parameter is required.", "examples": [ "john.doe@example.com" ], "title": "Recipient Email", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Forward an existing Gmail message to specified recipients, preserving original body and attachments.", "display_description": "Forward an existing Gmail message to specified recipients, preserving original body and attachments.", "display_name": "Forward email message", "name": "gmail_forward_message", "readonly": true, "status": false, "tags": [ "GMAIL_FORWARD_MESSAGE" ] }, { "_uniqueId": "gmail_get_attachment_Get Gmail attachment_11", "args": { "attachment_id": { "description": "ID of the attachment to retrieve. Make sure that attachment_id is passed and is valid, not a placeholder or NULL. Please provide a value of type string. This parameter is required.", "examples": [ "A_PART0.1_18exampleAttachmentId7f9" ], "title": "Attachment Id", "type": "string" }, "file_name": { "description": "Desired filename for the downloaded attachment. Make sure that file_name is passed. Please provide a value of type string. This parameter is required.", "examples": [ "invoice.pdf", "report.docx" ], "title": "File Name", "type": "string" }, "message_id": { "description": "Immutable ID of the message containing the attachment. Make sure that message_id is passed and is valid, not a placeholder or NULL. Please provide a value of type string. This parameter is required.", "examples": [ "18exampleMessageId7f9" ], "title": "Message Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address ('me' for authenticated user). Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Retrieves a specific attachment by ID from a message in a user's Gmail mailbox, requiring valid message and attachment IDs.", "display_description": "Retrieves a specific attachment by ID from a message in a user's Gmail mailbox, requiring valid message and attachment IDs.", "display_name": "Get Gmail attachment", "name": "gmail_get_attachment", "readonly": true, "status": false, "tags": [ "GMAIL_GET_ATTACHMENT" ] }, { "_uniqueId": "gmail_get_contacts_Get contacts_12", "args": { "include_other_contacts": { "default": true, "description": "Include 'Other Contacts' (interacted with but not explicitly saved) in addition to regular contacts; if true, fetches from both endpoints and merges results. Please provide a value of type boolean.", "examples": [], "title": "Include Other Contacts", "type": "boolean" }, "page_token": { "default": null, "description": "Token to retrieve a specific page of results, obtained from 'nextPageToken' in a previous response. Please provide a value of type string.", "examples": [], "title": "Page Token", "type": "string" }, "person_fields": { "default": "emailAddresses,names,birthdays,genders", "description": "Comma-separated person fields to retrieve for each contact (e.g., 'names,emailAddresses'). Please provide a value of type string.", "examples": [ "addresses", "ageRanges", "biographies", "birthdays", "coverPhotos", "emailAddresses", "events", "genders", "imClients", "interests", "locales", "memberships", "metadata", "names", "nicknames", "occupations", "organizations", "phoneNumbers", "photos", "relations", "residences", "sipAddresses", "skills", "urls", "userDefined" ], "title": "Person Fields", "type": "string" }, "resource_name": { "default": "people/me", "description": "Identifier for the person resource whose connections are listed; use 'people/me' for the authenticated user. Please provide a value of type string.", "examples": [], "title": "Resource Name", "type": "string" } }, "description": "Fetches contacts (connections) for the authenticated Google account, allowing selection of specific data fields and pagination.", "display_description": "Fetches contacts (connections) for the authenticated Google account, allowing selection of specific data fields and pagination.", "display_name": "Get contacts", "name": "gmail_get_contacts", "readonly": true, "status": false, "tags": [ "GMAIL_GET_CONTACTS" ] }, { "_uniqueId": "gmail_get_people_Get People_13", "args": { "other_contacts": { "default": false, "description": "If true, retrieves 'Other Contacts' (people interacted with but not explicitly saved), ignoring `resource_name` and enabling pagination/sync. If false, retrieves information for the single person specified by `resource_name`. Please provide a value of type boolean.", "examples": [], "title": "Other Contacts", "type": "boolean" }, "page_size": { "default": 10, "description": "The number of 'Other Contacts' to return per page. Applicable only when `other_contacts` is true. Please provide a value of type integer.", "examples": [], "title": "Page Size", "type": "integer" }, "page_token": { "default": "", "description": "An opaque token from a previous response to retrieve the next page of 'Other Contacts' results. Applicable only when `other_contacts` is true and paginating. Please provide a value of type string.", "examples": [], "title": "Page Token", "type": "string" }, "person_fields": { "default": "emailAddresses,names,birthdays,genders", "description": "A comma-separated field mask to restrict which fields on the person (or persons) are returned. Consult the Google People API documentation for a comprehensive list of valid fields. Please provide a value of type string.", "examples": [ "names,emailAddresses", "emailAddresses,names,birthdays,genders", "addresses,phoneNumbers,metadata" ], "title": "Person Fields", "type": "string" }, "resource_name": { "default": "people/me", "description": "Resource name identifying the person for whom to retrieve information (like the authenticated user or a specific contact). Used only when `other_contacts` is false. Please provide a value of type string.", "examples": [ "people/me", "people/c12345678901234567890", "people/102345678901234567890" ], "title": "Resource Name", "type": "string" }, "sync_token": { "default": "", "description": "A token from a previous 'Other Contacts' list call to retrieve only changes since the last sync; leave empty for an initial full sync. Applicable only when `other_contacts` is true. Please provide a value of type string.", "examples": [], "title": "Sync Token", "type": "string" } }, "description": "Retrieves either a specific person's details (using `resource_name`) or lists 'Other Contacts' (if `other_contacts` is true), with `person_fields` specifying the data to return.", "display_description": "Retrieves either a specific person's details (using `resource_name`) or lists 'Other Contacts' (if `other_contacts` is true), with `person_fields` specifying the data to return.", "display_name": "Get People", "name": "gmail_get_people", "readonly": true, "status": false, "tags": [ "GMAIL_GET_PEOPLE" ] }, { "_uniqueId": "gmail_get_profile_Get Profile_14", "args": { "user_id": { "default": "me", "description": "The email address of the Gmail user whose profile is to be retrieved, or the special value 'me' to indicate the currently authenticated user. Please provide a value of type string.", "examples": [ "user@example.com", "me" ], "title": "User Id", "type": "string" } }, "description": "Retrieves key Gmail profile information (email address, message/thread totals, history ID) for a user.", "display_description": "Retrieves key Gmail profile information (email address, message/thread totals, history ID) for a user.", "display_name": "Get Profile", "name": "gmail_get_profile", "readonly": true, "status": false, "tags": [ "GMAIL_GET_PROFILE" ] }, { "_uniqueId": "gmail_list_drafts_List drafts_15", "args": { "max_results": { "default": 1, "description": "Maximum number of drafts to return per page. Please provide a value of type integer.", "examples": [ 10, 100, 500 ], "title": "Max Results", "type": "integer" }, "page_token": { "default": "", "description": "Token from a previous response to retrieve a specific page of drafts. Please provide a value of type string.", "examples": [ "CiaKJDhWSE5UURE9PSIsImMiOiJhYmMxMjMifQ==" ], "title": "Page Token", "type": "string" }, "user_id": { "default": "me", "description": "User's mailbox ID; use 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" }, "verbose": { "default": false, "description": "If true, fetches full draft details including subject, sender, recipient, body, and timestamp. If false, returns only draft IDs (faster). Please provide a value of type boolean.", "examples": [ true, false ], "title": "Verbose", "type": "boolean" } }, "description": "Retrieves a paginated list of email drafts from a user's Gmail account. Use verbose=true to get full draft details including subject, body, sender, and timestamp.", "display_description": "Retrieves a paginated list of email drafts from a user's Gmail account. Use verbose=true to get full draft details including subject, body, sender, and timestamp.", "display_name": "List drafts", "name": "gmail_list_drafts", "readonly": true, "status": false, "tags": [ "GMAIL_LIST_DRAFTS" ] }, { "_uniqueId": "gmail_list_history_List Gmail history_16", "args": { "history_types": { "default": null, "description": "Filter by specific history types. Allowed values: messageAdded, messageDeleted, labelAdded, labelRemoved.", "examples": [ [ "messageAdded", "labelRemoved" ] ], "items": { "type": "string" }, "title": "History Types", "type": "array" }, "label_id": { "default": null, "description": "Only return history records involving messages with this label ID. Please provide a value of type string.", "examples": [ "INBOX" ], "title": "Label Id", "type": "string" }, "max_results": { "default": 100, "description": "Maximum number of history records to return. Default is 100; max is 500. Please provide a value of type integer.", "examples": [ 100, 500 ], "title": "Max Results", "type": "integer" }, "page_token": { "default": null, "description": "Token to retrieve a specific page of results. Please provide a value of type string.", "examples": [ "ABCDEF123456" ], "title": "Page Token", "type": "string" }, "start_history_id": { "description": "Required. Returns history records after this ID. If the ID is invalid or too old, the API returns 404. Perform a full sync in that case. Please provide a value of type string. This parameter is required.", "examples": [ "1234567890" ], "title": "Start History Id", "type": "string" }, "user_id": { "default": "me", "description": "The user's email address. Use 'me' to specify the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Tool to list Gmail mailbox change history since a known startHistoryId. Use when performing incremental mailbox syncs to fetch only new changes.", "display_description": "Tool to list Gmail mailbox change history since a known startHistoryId. Use when performing incremental mailbox syncs to fetch only new changes.", "display_name": "List Gmail history", "name": "gmail_list_history", "readonly": true, "status": false, "tags": [ "GMAIL_LIST_HISTORY" ] }, { "_uniqueId": "gmail_list_labels_List Gmail labels_17", "args": { "user_id": { "default": "me", "description": "Identifies the Gmail account (owner's email or 'me' for authenticated user) for which labels will be listed. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Retrieves a list of all system and user-created labels for the specified Gmail account.", "display_description": "Retrieves a list of all system and user-created labels for the specified Gmail account.", "display_name": "List Gmail labels", "name": "gmail_list_labels", "readonly": true, "status": false, "tags": [ "GMAIL_LIST_LABELS" ] }, { "_uniqueId": "gmail_list_threads_List threads_18", "args": { "max_results": { "default": 10, "description": "Maximum number of threads to return. Please provide a value of type integer.", "examples": [ "10", "50", "100" ], "title": "Max Results", "type": "integer" }, "page_token": { "default": "", "description": "Token from a previous response to retrieve a specific page of results; omit for the first page. Please provide a value of type string.", "examples": [ "abcPageToken123" ], "title": "Page Token", "type": "string" }, "query": { "default": "", "description": "Filter for threads, using Gmail search query syntax (e.g., 'from:user@example.com is:unread'). Please provide a value of type string.", "examples": [ "is:unread", "from:john.doe@example.com", "subject:important" ], "title": "Query", "type": "string" }, "user_id": { "default": "me", "description": "The user's email address or 'me' to specify the authenticated Gmail account. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" }, "verbose": { "default": false, "description": "If false, returns threads with basic fields (id, snippet, historyId). If true, returns threads with complete message details including headers, body, attachments, and metadata for each message in the thread. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Verbose", "type": "boolean" } }, "description": "Retrieves a list of email threads from a Gmail account, identified by `user_id` (email address or 'me'), supporting filtering and pagination.", "display_description": "Retrieves a list of email threads from a Gmail account, identified by `user_id` (email address or 'me'), supporting filtering and pagination.", "display_name": "List threads", "name": "gmail_list_threads", "readonly": true, "status": false, "tags": [ "GMAIL_LIST_THREADS" ] }, { "_uniqueId": "gmail_modify_thread_labels_Modify thread labels_19", "args": { "add_label_ids": { "default": null, "description": "List of label IDs to add to the thread; these labels must exist.", "examples": [ "STARRED", "INBOX" ], "items": { "type": "string" }, "title": "Add Label Ids", "type": "array" }, "remove_label_ids": { "default": null, "description": "List of label IDs to remove from the thread; these labels must exist.", "examples": [ "IMPORTANT", "CATEGORY_UPDATES" ], "items": { "type": "string" }, "title": "Remove Label Ids", "type": "array" }, "thread_id": { "description": "Immutable ID of the thread to modify. Please provide a value of type string. This parameter is required.", "examples": [ "18ea7715b619f09c" ], "title": "Thread Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "user@example.com", "me" ], "title": "User Id", "type": "string" } }, "description": "Adds or removes specified existing label IDs from a Gmail thread, affecting all its messages; ensure the thread ID is valid.", "display_description": "Adds or removes specified existing label IDs from a Gmail thread, affecting all its messages; ensure the thread ID is valid.", "display_name": "Modify thread labels", "name": "gmail_modify_thread_labels", "readonly": true, "status": false, "tags": [ "GMAIL_MODIFY_THREAD_LABELS" ] }, { "_uniqueId": "gmail_move_to_trash_Move to Trash_20", "args": { "message_id": { "description": "Identifier of the email message to move to trash. Please provide a value of type string. This parameter is required.", "examples": [ "1875f42779f726f2" ], "title": "Message Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "user@example.com", "me" ], "title": "User Id", "type": "string" } }, "description": "Moves an existing, non-deleted email message to the trash for the specified user.", "display_description": "Moves an existing, non-deleted email message to the trash for the specified user.", "display_name": "Move to Trash", "name": "gmail_move_to_trash", "readonly": true, "status": false, "tags": [ "GMAIL_MOVE_TO_TRASH" ] }, { "_uniqueId": "gmail_patch_label_Patch Label_21", "args": { "color": { "$ref": "#/$defs/PatchLabelColor", "default": null, "description": "The color to assign to the label. Color is only available for labels that have their `type` set to `user`.", "examples": [] }, "id": { "description": "The ID of the label to update. Please provide a value of type string. This parameter is required.", "examples": [ "LABEL_123" ], "title": "Id", "type": "string" }, "labelListVisibility": { "default": null, "description": "The visibility of the label in the label list in the Gmail web interface. Please provide a value of type string.", "examples": [ "labelShow", "labelShowIfUnread", "labelHide" ], "title": "Labellistvisibility", "type": "string" }, "messageListVisibility": { "default": null, "description": "The visibility of messages with this label in the message list in the Gmail web interface. Please provide a value of type string.", "examples": [ "show", "hide" ], "title": "Messagelistvisibility", "type": "string" }, "name": { "default": null, "description": "The display name of the label. Please provide a value of type string.", "examples": [ "My Updated Label" ], "title": "Name", "type": "string" }, "userId": { "description": "The user's email address. The special value `me` can be used to indicate the authenticated user. Please provide a value of type string. This parameter is required.", "examples": [ "me", "user@example.com" ], "title": "Userid", "type": "string" } }, "description": "Patches the specified label.", "display_description": "Patches the specified label.", "display_name": "Patch Label", "name": "gmail_patch_label", "readonly": true, "status": false, "tags": [ "GMAIL_PATCH_LABEL" ] }, { "_uniqueId": "gmail_remove_label_Remove label_22", "args": { "label_id": { "description": "ID of the user-created label to be permanently deleted; must exist and not be a system label. Please provide a value of type string. This parameter is required.", "examples": [ "Label_123", "Label_xyz789" ], "title": "Label Id", "type": "string" }, "user_id": { "default": "me", "description": "User's email address or 'me' for the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Permanently deletes a specific, existing user-created Gmail label by its ID for a user; cannot delete system labels.", "display_description": "Permanently deletes a specific, existing user-created Gmail label by its ID for a user; cannot delete system labels.", "display_name": "Remove label", "name": "gmail_remove_label", "readonly": true, "status": false, "tags": [ "GMAIL_REMOVE_LABEL" ] }, { "_uniqueId": "gmail_reply_to_thread_Reply to email thread_23", "args": { "attachment": { "default": null, "description": "File to attach to the reply. Just Provide file path here", "examples": [], "title": "Attachment", "type": "string" }, "bcc": { "default": [], "description": "Blind Carbon Copy (BCC) recipients' email addresses. Atleast one of cc, bcc, or recipient_email must be provided.", "examples": [ [ "bcc.recipient@example.com" ] ], "items": { "type": "string" }, "title": "Bcc", "type": "array" }, "cc": { "default": [], "description": "Carbon Copy (CC) recipients' email addresses. Atleast one of cc, bcc, or recipient_email must be provided.", "examples": [ [ "cc.recipient1@example.com", "cc.recipient2@example.com" ] ], "items": { "type": "string" }, "title": "Cc", "type": "array" }, "extra_recipients": { "default": [], "description": "Additional 'To' recipients' email addresses (not Cc or Bcc). Should only be used if recipient_email is also provided.", "examples": [ [ "jane.doe@example.com", "another.person@example.com" ] ], "items": { "type": "string" }, "title": "Extra Recipients", "type": "array" }, "is_html": { "default": false, "description": "Indicates if `message_body` is HTML; if True, body must be valid HTML, if False, body should not contain HTML tags. Please provide a value of type boolean.", "examples": [ true, false ], "title": "Is Html", "type": "boolean" }, "message_body": { "default": "", "description": "Content of the reply message, either plain text or HTML. Please provide a value of type string.", "examples": [ "Dear Sir, Nice talking to you. Yours respectfully, John" ], "title": "Message Body", "type": "string" }, "recipient_email": { "default": null, "description": "Primary recipient's email address. Required if cc and bcc is not provided, else can be optional. Use extra_recipients if you want to send to multiple recipients. Please provide a value of type string.", "examples": [ "john@doe.com" ], "title": "Recipient Email", "type": "string" }, "thread_id": { "description": "Identifier of the Gmail thread for the reply. Please provide a value of type string. This parameter is required.", "examples": [ "x53r3vdevff" ], "title": "Thread Id", "type": "string" }, "user_id": { "default": "me", "description": "Identifier for the user sending the reply; 'me' refers to the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Sends a reply within a specific Gmail thread using the original thread's subject, requiring a valid `thread_id` and at least one of recipient_email, cc, or bcc must be provided. Supports attachments via the `attachment` parameter with valid `s3key`, `mimetype`, and `name`.", "display_description": "Sends a reply within a specific Gmail thread using the original thread's subject, requiring a valid `thread_id` and at least one of recipient_email, cc, or bcc must be provided. Supports attachments via the `attachment` parameter with valid `s3key`, `mimetype`, and `name`.", "display_name": "Reply to email thread", "name": "gmail_reply_to_thread", "readonly": true, "status": false, "tags": [ "GMAIL_REPLY_TO_THREAD" ] }, { "_uniqueId": "gmail_search_people_Search People_24", "args": { "other_contacts": { "default": true, "description": "When True, searches both saved contacts and 'Other Contacts' (people you've interacted with but not explicitly saved). Note: This restricts person_fields to only 'emailAddresses', 'names', 'phoneNumbers'. When False, searches only saved contacts but allows all person_fields including 'organizations', 'addresses', etc. Please provide a value of type boolean.", "examples": [], "title": "Other Contacts", "type": "boolean" }, "pageSize": { "default": 10, "description": "Maximum results to return; values >30 are capped to 30 by the API. Please provide a value of type integer.", "examples": [], "title": "Pagesize", "type": "integer" }, "person_fields": { "default": "emailAddresses,names,phoneNumbers", "description": "Comma-separated fields to return (e.g., 'names,emailAddresses'). When 'other_contacts' is true, only 'emailAddresses', 'names', 'phoneNumbers' are allowed. For full field access including 'organizations', set 'other_contacts' to false. Please provide a value of type string.", "examples": [ "addresses", "ageRanges", "biographies", "birthdays", "coverPhotos", "emailAddresses", "events", "genders", "imClients", "interests", "locales", "memberships", "metadata", "names", "nicknames", "occupations", "organizations", "phoneNumbers", "photos", "relations", "residences", "sipAddresses", "skills", "urls", "userDefined" ], "title": "Person Fields", "type": "string" }, "query": { "description": "Matches contact names, nicknames, email addresses, phone numbers, and organization fields. Please provide a value of type string. This parameter is required.", "examples": [], "title": "Query", "type": "string" } }, "description": "Searches contacts by matching the query against names, nicknames, emails, phone numbers, and organizations, optionally including 'Other Contacts'.", "display_description": "Searches contacts by matching the query against names, nicknames, emails, phone numbers, and organizations, optionally including 'Other Contacts'.", "display_name": "Search People", "name": "gmail_search_people", "readonly": true, "status": false, "tags": [ "GMAIL_SEARCH_PEOPLE" ] }, { "_uniqueId": "gmail_send_draft_Send Draft_25", "args": { "draft_id": { "description": "The ID of the draft to send. Make sure that the draft ID is valid and not a placeholder. You can use GMAIL_LIST_DRAFTS or GMAIL_CREATE_EMAIL_DRAFT to get the draft ID, if you don't have it. Please provide a value of type string. This parameter is required.", "examples": [ "r-xxxxxxxxxxxxxxxxx" ], "title": "Draft Id", "type": "string" }, "user_id": { "default": "me", "description": "The user's email address. The special value `me` can be used to indicate the authenticated user. Please provide a value of type string.", "examples": [ "me", "user@example.com" ], "title": "User Id", "type": "string" } }, "description": "Sends the specified, existing draft to the recipients in the To, Cc, and Bcc headers.", "display_description": "Sends the specified, existing draft to the recipients in the To, Cc, and Bcc headers.", "display_name": "Send Draft", "name": "gmail_send_draft", "readonly": true, "status": false, "tags": [ "GMAIL_SEND_DRAFT" ] }, { "_uniqueId": "gmail_send_email_Send Email_26", "args": { "attachment": { "default": null, "description": "File to attach; ensure `s3key`, `mimetype`, and `name` are set if provided. Omit or set to null for no attachment.", "examples": [], "title": "Attachment", "type": "string" }, "bcc": { "default": [], "description": "Blind Carbon Copy (BCC) recipients' email addresses. At least one of 'recipient_email', 'cc', or 'bcc' must be provided.", "examples": [ [ "auditor@example.com" ] ], "items": { "type": "string" }, "title": "Bcc", "type": "array" }, "body": { "default": null, "description": "Email content (plain text or HTML). Either subject or body must be provided for the email to be sent. If HTML, `is_html` must be `True`. Please provide a value of type string.", "examples": [ "Hello team, let's discuss the project updates tomorrow.", "

Welcome!

Thank you for signing up.

", "" ], "title": "Body", "type": "string" }, "cc": { "default": [], "description": "Carbon Copy (CC) recipients' email addresses. At least one of 'recipient_email', 'cc', or 'bcc' must be provided.", "examples": [ [ "manager@example.com", "teamlead@example.com" ] ], "items": { "type": "string" }, "title": "Cc", "type": "array" }, "extra_recipients": { "default": [], "description": "Additional 'To' recipients' email addresses (not Cc or Bcc). Should only be used if recipient_email is also provided.", "examples": [ [ "jane.doe@example.com", "support@example.com" ] ], "items": { "type": "string" }, "title": "Extra Recipients", "type": "array" }, "is_html": { "default": false, "description": "Set to `True` if the email body contains HTML tags. Please provide a value of type boolean.", "examples": [], "title": "Is Html", "type": "boolean" }, "recipient_email": { "default": null, "description": "Primary recipient's email address. At least one of 'recipient_email', 'cc', or 'bcc' must be provided. Use extra_recipients if you want to send to multiple recipients. Please provide a value of type string.", "examples": [ "john@doe.com" ], "title": "Recipient Email", "type": "string" }, "subject": { "default": null, "description": "Subject line of the email. Either subject or body must be provided for the email to be sent. Please provide a value of type string.", "examples": [ "Project Update Meeting", "Your Weekly Newsletter" ], "title": "Subject", "type": "string" }, "user_id": { "default": "me", "description": "User's email address; the literal 'me' refers to the authenticated user. Please provide a value of type string.", "examples": [ "user@example.com", "me" ], "title": "User Id", "type": "string" } }, "description": "Sends an email via Gmail API using the authenticated user's Google profile display name. At least one of recipient_email, cc, or bcc must be provided. At least one of subject or body must be provided. Requires `is_html=True` if the body contains HTML and valid `s3key`, `mimetype`, `name` for any attachment.", "display_description": "Sends an email via Gmail API using the authenticated user's Google profile display name. At least one of recipient_email, cc, or bcc must be provided. At least one of subject or body must be provided. Requires `is_html=True` if the body contains HTML and valid `s3key`, `mimetype`, `name` for any attachment.", "display_name": "Send Email", "name": "gmail_send_email", "readonly": true, "status": true, "tags": [ "GMAIL_SEND_EMAIL" ] } ] }, "username": { "_input_type": "StrInput", "advanced": false, "display_name": "Username", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "username", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "verification_token": { "_input_type": "StrInput", "advanced": false, "display_name": "Verification Token", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "verification_token", "placeholder": "", "real_time_refresh": true, "required": false, "show": false, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" } }, "tool_mode": true }, "showNode": true, "type": "ComposioGmailAPIComponent" }, "dragging": false, "id": "ComposioGmailAPIComponent-Rc6PI", "measured": { "height": 335, "width": 320 }, "position": { "x": 905.4324206921619, "y": 503.7268331679617 }, "selected": false, "type": "genericNode" }, { "data": { "id": "ChatInput-0R8KM", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Get chat inputs from the Playground.", "display_name": "Chat Input", "documentation": "https://docs.langflow.org/chat-input-and-output", "edited": false, "field_order": [ "input_value", "should_store_message", "sender", "sender_name", "session_id", "context_id", "files" ], "frozen": false, "icon": "MessagesSquare", "legacy": false, "lf_version": "1.7.0", "metadata": { "code_hash": "7a26c54d89ed", "dependencies": { "dependencies": [ { "name": "lfx", "version": null } ], "total_dependencies": 1 }, "module": "custom_components.chat_input" }, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Chat Message", "group_outputs": false, "loop_types": null, "method": "message_response", "name": "message", "options": null, "required_inputs": null, "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from lfx.base.data.utils import IMG_FILE_TYPES, TEXT_FILE_TYPES\nfrom lfx.base.io.chat import ChatComponent\nfrom lfx.inputs.inputs import BoolInput\nfrom lfx.io import (\n DropdownInput,\n FileInput,\n MessageTextInput,\n MultilineInput,\n Output,\n)\nfrom lfx.schema.message import Message\nfrom lfx.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_USER,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatInput(ChatComponent):\n display_name = \"Chat Input\"\n description = \"Get chat inputs from the Playground.\"\n documentation: str = \"https://docs.langflow.org/chat-input-and-output\"\n icon = \"MessagesSquare\"\n name = \"ChatInput\"\n minimized = True\n\n inputs = [\n MultilineInput(\n name=\"input_value\",\n display_name=\"Input Text\",\n value=\"\",\n info=\"Message to be passed as input.\",\n input_types=[],\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_USER,\n info=\"Type of sender.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_USER,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"context_id\",\n display_name=\"Context ID\",\n info=\"The context ID of the chat. Adds an extra layer to the local memory.\",\n value=\"\",\n advanced=True,\n ),\n FileInput(\n name=\"files\",\n display_name=\"Files\",\n file_types=TEXT_FILE_TYPES + IMG_FILE_TYPES,\n info=\"Files to be sent with the message.\",\n advanced=True,\n is_list=True,\n temp_file=True,\n ),\n ]\n outputs = [\n Output(display_name=\"Chat Message\", name=\"message\", method=\"message_response\"),\n ]\n\n async def message_response(self) -> Message:\n # Ensure files is a list and filter out empty/None values\n files = self.files if self.files else []\n if files and not isinstance(files, list):\n files = [files]\n # Filter out None/empty values\n files = [f for f in files if f is not None and f != \"\"]\n\n session_id = self.session_id or self.graph.session_id or \"\"\n message = await Message.create(\n text=self.input_value,\n sender=self.sender,\n sender_name=self.sender_name,\n session_id=session_id,\n context_id=self.context_id,\n files=files,\n )\n if session_id and isinstance(message, Message) and self.should_store_message:\n stored_message = await self.send_message(\n message,\n )\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n" }, "context_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Context ID", "dynamic": false, "info": "The context ID of the chat. Adds an extra layer to the local memory.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "context_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "files": { "_input_type": "FileInput", "advanced": true, "display_name": "Files", "dynamic": false, "fileTypes": [ "csv", "json", "pdf", "txt", "md", "mdx", "yaml", "yml", "xml", "html", "htm", "docx", "py", "sh", "sql", "js", "ts", "tsx", "jpg", "jpeg", "png", "bmp", "image" ], "file_path": "", "info": "Files to be sent with the message.", "list": true, "list_add_label": "Add More", "name": "files", "override_skip": false, "placeholder": "", "required": false, "show": true, "temp_file": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "file", "value": "" }, "input_value": { "_input_type": "MultilineInput", "advanced": false, "ai_enabled": false, "copy_field": false, "display_name": "Input Text", "dynamic": false, "info": "Message to be passed as input.", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "input_value", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "external_options": {}, "info": "Type of sender.", "name": "sender", "options": [ "Machine", "User" ], "options_metadata": [], "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "User" }, "sender_name": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "User" }, "session_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "session_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "should_store_message": { "_input_type": "BoolInput", "advanced": true, "display_name": "Store Messages", "dynamic": false, "info": "Store the message in the history.", "list": false, "list_add_label": "Add More", "name": "should_store_message", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true } }, "tool_mode": false }, "showNode": false, "type": "ChatInput" }, "dragging": false, "id": "ChatInput-0R8KM", "measured": { "height": 48, "width": 192 }, "position": { "x": 1475.9159117483173, "y": 85.77118774154984 }, "selected": false, "type": "genericNode" }, { "data": { "id": "ChatOutput-yHar7", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Display a chat message in the Playground.", "display_name": "Chat Output", "documentation": "https://docs.langflow.org/chat-input-and-output", "edited": false, "field_order": [ "input_value", "should_store_message", "sender", "sender_name", "session_id", "context_id", "data_template", "clean_data" ], "frozen": false, "icon": "MessagesSquare", "legacy": false, "lf_version": "1.7.0", "metadata": { "code_hash": "8c87e536cca4", "dependencies": { "dependencies": [ { "name": "orjson", "version": "3.10.15" }, { "name": "fastapi", "version": "0.123.0" }, { "name": "lfx", "version": null } ], "total_dependencies": 3 }, "module": "custom_components.chat_output" }, "minimized": true, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Output Message", "group_outputs": false, "loop_types": null, "method": "message_response", "name": "message", "options": null, "required_inputs": null, "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_type": "Component", "clean_data": { "_input_type": "BoolInput", "advanced": true, "display_name": "Basic Clean Data", "dynamic": false, "info": "Whether to clean data before converting to string.", "list": false, "list_add_label": "Add More", "name": "clean_data", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "from collections.abc import Generator\nfrom typing import Any\n\nimport orjson\nfrom fastapi.encoders import jsonable_encoder\n\nfrom lfx.base.io.chat import ChatComponent\nfrom lfx.helpers.data import safe_convert\nfrom lfx.inputs.inputs import BoolInput, DropdownInput, HandleInput, MessageTextInput\nfrom lfx.schema.data import Data\nfrom lfx.schema.dataframe import DataFrame\nfrom lfx.schema.message import Message\nfrom lfx.schema.properties import Source\nfrom lfx.template.field.base import Output\nfrom lfx.utils.constants import (\n MESSAGE_SENDER_AI,\n MESSAGE_SENDER_NAME_AI,\n MESSAGE_SENDER_USER,\n)\n\n\nclass ChatOutput(ChatComponent):\n display_name = \"Chat Output\"\n description = \"Display a chat message in the Playground.\"\n documentation: str = \"https://docs.langflow.org/chat-input-and-output\"\n icon = \"MessagesSquare\"\n name = \"ChatOutput\"\n minimized = True\n\n inputs = [\n HandleInput(\n name=\"input_value\",\n display_name=\"Inputs\",\n info=\"Message to be passed as output.\",\n input_types=[\"Data\", \"DataFrame\", \"Message\"],\n required=True,\n ),\n BoolInput(\n name=\"should_store_message\",\n display_name=\"Store Messages\",\n info=\"Store the message in the history.\",\n value=True,\n advanced=True,\n ),\n DropdownInput(\n name=\"sender\",\n display_name=\"Sender Type\",\n options=[MESSAGE_SENDER_AI, MESSAGE_SENDER_USER],\n value=MESSAGE_SENDER_AI,\n advanced=True,\n info=\"Type of sender.\",\n ),\n MessageTextInput(\n name=\"sender_name\",\n display_name=\"Sender Name\",\n info=\"Name of the sender.\",\n value=MESSAGE_SENDER_NAME_AI,\n advanced=True,\n ),\n MessageTextInput(\n name=\"session_id\",\n display_name=\"Session ID\",\n info=\"The session ID of the chat. If empty, the current session ID parameter will be used.\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"context_id\",\n display_name=\"Context ID\",\n info=\"The context ID of the chat. Adds an extra layer to the local memory.\",\n value=\"\",\n advanced=True,\n ),\n MessageTextInput(\n name=\"data_template\",\n display_name=\"Data Template\",\n value=\"{text}\",\n advanced=True,\n info=\"Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.\",\n ),\n BoolInput(\n name=\"clean_data\",\n display_name=\"Basic Clean Data\",\n value=True,\n advanced=True,\n info=\"Whether to clean data before converting to string.\",\n ),\n ]\n outputs = [\n Output(\n display_name=\"Output Message\",\n name=\"message\",\n method=\"message_response\",\n ),\n ]\n\n def _build_source(self, id_: str | None, display_name: str | None, source: str | None) -> Source:\n source_dict = {}\n if id_:\n source_dict[\"id\"] = id_\n if display_name:\n source_dict[\"display_name\"] = display_name\n if source:\n # Handle case where source is a ChatOpenAI object\n if hasattr(source, \"model_name\"):\n source_dict[\"source\"] = source.model_name\n elif hasattr(source, \"model\"):\n source_dict[\"source\"] = str(source.model)\n else:\n source_dict[\"source\"] = str(source)\n return Source(**source_dict)\n\n async def message_response(self) -> Message:\n # First convert the input to string if needed\n text = self.convert_to_string()\n\n # Get source properties\n source, _, display_name, source_id = self.get_properties_from_source_component()\n\n # Create or use existing Message object\n if isinstance(self.input_value, Message) and not self.is_connected_to_chat_input():\n message = self.input_value\n # Update message properties\n message.text = text\n # Preserve existing session_id from the incoming message if it exists\n existing_session_id = message.session_id\n else:\n message = Message(text=text)\n existing_session_id = None\n\n # Set message properties\n message.sender = self.sender\n message.sender_name = self.sender_name\n # Preserve session_id from incoming message, or use component/graph session_id\n message.session_id = (\n self.session_id or existing_session_id or (self.graph.session_id if hasattr(self, \"graph\") else None) or \"\"\n )\n message.context_id = self.context_id\n message.flow_id = self.graph.flow_id if hasattr(self, \"graph\") else None\n message.properties.source = self._build_source(source_id, display_name, source)\n\n # Store message if needed\n if message.session_id and self.should_store_message:\n stored_message = await self.send_message(message)\n self.message.value = stored_message\n message = stored_message\n\n self.status = message\n return message\n\n def _serialize_data(self, data: Data) -> str:\n \"\"\"Serialize Data object to JSON string.\"\"\"\n # Convert data.data to JSON-serializable format\n serializable_data = jsonable_encoder(data.data)\n # Serialize with orjson, enabling pretty printing with indentation\n json_bytes = orjson.dumps(serializable_data, option=orjson.OPT_INDENT_2)\n # Convert bytes to string and wrap in Markdown code blocks\n return \"```json\\n\" + json_bytes.decode(\"utf-8\") + \"\\n```\"\n\n def _validate_input(self) -> None:\n \"\"\"Validate the input data and raise ValueError if invalid.\"\"\"\n if self.input_value is None:\n msg = \"Input data cannot be None\"\n raise ValueError(msg)\n if isinstance(self.input_value, list) and not all(\n isinstance(item, Message | Data | DataFrame | str) for item in self.input_value\n ):\n invalid_types = [\n type(item).__name__\n for item in self.input_value\n if not isinstance(item, Message | Data | DataFrame | str)\n ]\n msg = f\"Expected Data or DataFrame or Message or str, got {invalid_types}\"\n raise TypeError(msg)\n if not isinstance(\n self.input_value,\n Message | Data | DataFrame | str | list | Generator | type(None),\n ):\n type_name = type(self.input_value).__name__\n msg = f\"Expected Data or DataFrame or Message or str, Generator or None, got {type_name}\"\n raise TypeError(msg)\n\n def convert_to_string(self) -> str | Generator[Any, None, None]:\n \"\"\"Convert input data to string with proper error handling.\"\"\"\n self._validate_input()\n if isinstance(self.input_value, list):\n clean_data: bool = getattr(self, \"clean_data\", False)\n return \"\\n\".join([safe_convert(item, clean_data=clean_data) for item in self.input_value])\n if isinstance(self.input_value, Generator):\n return self.input_value\n return safe_convert(self.input_value)\n" }, "context_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Context ID", "dynamic": false, "info": "The context ID of the chat. Adds an extra layer to the local memory.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "context_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "data_template": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Data Template", "dynamic": false, "info": "Template to convert Data to Text. If left empty, it will be dynamically set to the Data's text key.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "data_template", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "{text}" }, "input_value": { "_input_type": "HandleInput", "advanced": false, "display_name": "Inputs", "dynamic": false, "info": "Message to be passed as output.", "input_types": [ "Data", "DataFrame", "Message" ], "list": false, "list_add_label": "Add More", "name": "input_value", "override_skip": false, "placeholder": "", "required": true, "show": true, "title_case": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "other", "value": "" }, "sender": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Sender Type", "dynamic": false, "external_options": {}, "info": "Type of sender.", "name": "sender", "options": [ "Machine", "User" ], "options_metadata": [], "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "Machine" }, "sender_name": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Sender Name", "dynamic": false, "info": "Name of the sender.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "sender_name", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "AI" }, "session_id": { "_input_type": "MessageTextInput", "advanced": true, "display_name": "Session ID", "dynamic": false, "info": "The session ID of the chat. If empty, the current session ID parameter will be used.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "session_id", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "should_store_message": { "_input_type": "BoolInput", "advanced": true, "display_name": "Store Messages", "dynamic": false, "info": "Store the message in the history.", "list": false, "list_add_label": "Add More", "name": "should_store_message", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true } }, "tool_mode": false }, "showNode": false, "type": "ChatOutput" }, "dragging": false, "id": "ChatOutput-yHar7", "measured": { "height": 48, "width": 192 }, "position": { "x": 2149.802933216096, "y": 106.32775517805862 }, "selected": false, "type": "genericNode" }, { "data": { "id": "Cuga-h25LW", "node": { "base_classes": [ "Message" ], "beta": false, "conditional_paths": [], "custom_fields": {}, "description": "Define the Cuga agent's instructions, then assign it a task.", "display_name": "Cuga", "documentation": "https://docs.langflow.org/bundles-cuga", "edited": false, "field_order": [ "agent_llm", "max_tokens", "model_kwargs", "json_mode", "model_name", "openai_api_base", "api_key", "temperature", "seed", "max_retries", "timeout", "instructions", "n_messages", "tools", "input_value", "handle_parsing_errors", "verbose", "max_iterations", "agent_description", "add_current_date_tool", "lite_mode", "lite_mode_tool_threshold", "decomposition_strategy", "browser_enabled", "web_apps" ], "frozen": false, "icon": "bot", "last_updated": "2025-12-18T10:50:05.655Z", "legacy": false, "lf_version": "1.7.0", "metadata": { "code_hash": "35e838f89d13", "dependencies": { "dependencies": [ { "name": "langchain_core", "version": "0.3.80" }, { "name": "lfx", "version": null }, { "name": "cuga", "version": "0.2.6" } ], "total_dependencies": 3 }, "module": "lfx.components.cuga.cuga_agent.CugaComponent" }, "minimized": false, "output_types": [], "outputs": [ { "allows_loop": false, "cache": true, "display_name": "Response", "group_outputs": false, "loop_types": null, "method": "message_response", "name": "response", "options": null, "required_inputs": null, "selected": "Message", "tool_mode": true, "types": [ "Message" ], "value": "__UNDEFINED__" } ], "pinned": false, "template": { "_frontend_node_flow_id": { "value": "af63ae2e-2804-4ab5-9259-4e337a09a401" }, "_frontend_node_folder_id": { "value": "9d4e6e89-4355-4367-8927-de9e2800dfeb" }, "_type": "Component", "add_current_date_tool": { "_input_type": "BoolInput", "advanced": true, "display_name": "Current Date", "dynamic": false, "info": "If true, will add a tool to the agent that returns the current date.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "add_current_date_tool", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "agent_description": { "_input_type": "MultilineInput", "advanced": true, "ai_enabled": false, "copy_field": false, "display_name": "Agent Description [Deprecated]", "dynamic": false, "info": "The description of the agent. This is only used when in Tool Mode. Defaults to 'A helpful assistant with access to the following tools:' and tools are added dynamically. This feature is deprecated and will be removed in future versions.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "agent_description", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "A helpful assistant with access to the following tools:" }, "agent_llm": { "_input_type": "DropdownInput", "advanced": false, "combobox": false, "dialog_inputs": {}, "display_name": "Language Model", "dynamic": false, "external_options": {}, "info": "", "input_types": [], "name": "agent_llm", "options": [ "Anthropic", "Google Generative AI", "IBM watsonx.ai", "Ollama", "OpenAI", "Custom" ], "options_metadata": [ { "icon": "Anthropic" }, { "icon": "GoogleGenerativeAI" }, { "icon": "WatsonxAI" }, { "icon": "Ollama" }, { "icon": "OpenAI" }, { "icon": "brain" } ], "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": false, "selected_metadata": { "icon": "WatsonxAI" }, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "IBM watsonx.ai" }, "api_key": { "_input_type": "SecretStrInput", "advanced": false, "display_name": "Watsonx API Key", "dynamic": false, "info": "The API Key to use for the model.", "input_types": [], "load_from_db": false, "name": "api_key", "override_skip": false, "password": true, "placeholder": "", "real_time_refresh": true, "required": false, "show": true, "title_case": false, "track_in_telemetry": false, "type": "str", "value": "" }, "base_url": { "_input_type": "DropdownInput", "advanced": false, "combobox": false, "dialog_inputs": {}, "display_name": "watsonx API Endpoint", "dynamic": false, "external_options": {}, "info": "The base URL of the API.", "input_types": [], "name": "base_url", "options": [ "https://us-south.ml.cloud.ibm.com", "https://eu-de.ml.cloud.ibm.com", "https://eu-gb.ml.cloud.ibm.com", "https://au-syd.ml.cloud.ibm.com", "https://jp-tok.ml.cloud.ibm.com", "https://ca-tor.ml.cloud.ibm.com" ], "options_metadata": [], "override_skip": false, "placeholder": "", "real_time_refresh": true, "required": true, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "https://us-south.ml.cloud.ibm.com" }, "browser_enabled": { "_input_type": "BoolInput", "advanced": true, "display_name": "Enable Browser", "dynamic": false, "info": "Toggle to enable a built-in browser tool for web scraping and searching.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "browser_enabled", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": false }, "code": { "advanced": true, "dynamic": true, "fileTypes": [], "file_path": "", "info": "", "input_types": [], "list": false, "load_from_db": false, "multiline": true, "name": "code", "password": false, "placeholder": "", "required": true, "show": true, "title_case": false, "type": "code", "value": "import asyncio\nimport json\nimport traceback\nimport uuid\nfrom collections.abc import AsyncIterator\nfrom typing import TYPE_CHECKING, Any, cast\n\nfrom langchain_core.agents import AgentFinish\nfrom langchain_core.messages import AIMessage, HumanMessage\nfrom langchain_core.tools import StructuredTool\n\nfrom lfx.base.agents.agent import LCToolsAgentComponent\nfrom lfx.base.models.model_input_constants import (\n ALL_PROVIDER_FIELDS,\n MODEL_DYNAMIC_UPDATE_FIELDS,\n MODEL_PROVIDERS,\n MODEL_PROVIDERS_DICT,\n MODELS_METADATA,\n)\nfrom lfx.base.models.model_utils import get_model_name\nfrom lfx.components.helpers import CurrentDateComponent\nfrom lfx.components.langchain_utilities.tool_calling import ToolCallingAgentComponent\nfrom lfx.components.models_and_agents.memory import MemoryComponent\nfrom lfx.custom.custom_component.component import _get_component_toolkit\nfrom lfx.custom.utils import update_component_build_config\nfrom lfx.field_typing import Tool\nfrom lfx.io import BoolInput, DropdownInput, IntInput, MultilineInput, Output\nfrom lfx.log.logger import logger\nfrom lfx.schema.dotdict import dotdict\nfrom lfx.schema.message import Message\n\nif TYPE_CHECKING:\n from lfx.schema.log import SendMessageFunctionType\n\n\ndef set_advanced_true(component_input):\n \"\"\"Set the advanced flag to True for a component input.\n\n Args:\n component_input: The component input to modify\n\n Returns:\n The modified component input with advanced=True\n \"\"\"\n component_input.advanced = True\n return component_input\n\n\nMODEL_PROVIDERS_LIST = [\"OpenAI\"]\n\n\nclass CugaComponent(ToolCallingAgentComponent):\n \"\"\"Cuga Agent Component for advanced AI task execution.\n\n The Cuga component is an advanced AI agent that can execute complex tasks using\n various tools and browser automation. It supports custom instructions, web applications,\n and API interactions.\n\n Attributes:\n display_name: Human-readable name for the component\n description: Brief description of the component's purpose\n documentation: URL to component documentation\n icon: Icon identifier for the UI\n name: Internal component name\n \"\"\"\n\n display_name: str = \"Cuga\"\n description: str = \"Define the Cuga agent's instructions, then assign it a task.\"\n documentation: str = \"https://docs.langflow.org/bundles-cuga\"\n icon = \"bot\"\n name = \"Cuga\"\n\n memory_inputs = [set_advanced_true(component_input) for component_input in MemoryComponent().inputs]\n\n inputs = [\n DropdownInput(\n name=\"agent_llm\",\n display_name=\"Model Provider\",\n info=\"The provider of the language model that the agent will use to generate responses.\",\n options=[*MODEL_PROVIDERS_LIST, \"Custom\"],\n value=\"OpenAI\",\n real_time_refresh=True,\n input_types=[],\n options_metadata=[MODELS_METADATA[key] for key in MODEL_PROVIDERS_LIST] + [{\"icon\": \"brain\"}],\n ),\n *MODEL_PROVIDERS_DICT[\"OpenAI\"][\"inputs\"],\n MultilineInput(\n name=\"instructions\",\n display_name=\"Instructions\",\n info=(\n \"Custom instructions for the agent to adhere to during its operation.\\n\"\n \"Example:\\n\"\n \"## Plan\\n\"\n \"< planning instructions e.g. which tools and when to use>\\n\"\n \"## Answer\\n\"\n \"< final answer instructions how to answer>\"\n ),\n value=\"\",\n advanced=False,\n ),\n IntInput(\n name=\"n_messages\",\n display_name=\"Number of Chat History Messages\",\n value=100,\n info=\"Number of chat history messages to retrieve.\",\n advanced=True,\n show=True,\n ),\n *LCToolsAgentComponent.get_base_inputs(),\n BoolInput(\n name=\"add_current_date_tool\",\n display_name=\"Current Date\",\n advanced=True,\n info=\"If true, will add a tool to the agent that returns the current date.\",\n value=True,\n ),\n BoolInput(\n name=\"lite_mode\",\n display_name=\"Enable CugaLite\",\n info=\"Faster reasoning for simple tasks. Enable CugaLite for simple API tasks.\",\n value=True,\n advanced=True,\n ),\n IntInput(\n name=\"lite_mode_tool_threshold\",\n display_name=\"CugaLite Tool Threshold\",\n info=\"Route to CugaLite if app has fewer than this many tools.\",\n value=25,\n advanced=True,\n ),\n DropdownInput(\n name=\"decomposition_strategy\",\n display_name=\"Decomposition Strategy\",\n info=\"Strategy for task decomposition: 'flexible' allows multiple subtasks per app,\\n\"\n \" 'exact' enforces one subtask per app.\",\n options=[\"flexible\", \"exact\"],\n value=\"flexible\",\n advanced=True,\n ),\n BoolInput(\n name=\"browser_enabled\",\n display_name=\"Enable Browser\",\n info=\"Toggle to enable a built-in browser tool for web scraping and searching.\",\n value=False,\n advanced=True,\n ),\n MultilineInput(\n name=\"web_apps\",\n display_name=\"Web applications\",\n info=(\n \"Cuga will automatically start this web application when Enable Browser is true. \"\n \"Currently only supports one web application. Example: https://example.com\"\n ),\n value=\"\",\n advanced=True,\n ),\n ]\n outputs = [\n Output(name=\"response\", display_name=\"Response\", method=\"message_response\"),\n ]\n\n async def call_agent(\n self, current_input: str, tools: list[Tool], history_messages: list[Message], llm\n ) -> AsyncIterator[dict[str, Any]]:\n \"\"\"Execute the Cuga agent with the given input and tools.\n\n This method initializes and runs the Cuga agent, processing the input through\n the agent's workflow and yielding events for real-time monitoring.\n\n Args:\n current_input: The user input to process\n tools: List of available tools for the agent\n history_messages: Previous conversation history\n llm: The language model instance to use\n\n Yields:\n dict: Agent events including tool usage, thinking, and final results\n\n Raises:\n ValueError: If there's an error in agent initialization\n TypeError: If there's a type error in processing\n RuntimeError: If there's a runtime error during execution\n ConnectionError: If there's a connection issue\n \"\"\"\n yield {\n \"event\": \"on_chain_start\",\n \"run_id\": str(uuid.uuid4()),\n \"name\": \"CUGA_initializing\",\n \"data\": {\"input\": {\"input\": current_input, \"chat_history\": []}},\n }\n logger.debug(f\"[CUGA] LLM MODEL TYPE: {type(llm)}\")\n if current_input:\n # Import settings first\n from cuga.config import settings\n\n # Use Dynaconf's set() method to update settings dynamically\n # This properly updates the settings object without corruption\n logger.debug(\"[CUGA] Updating CUGA settings via Dynaconf set() method\")\n\n settings.advanced_features.registry = False\n settings.advanced_features.lite_mode = self.lite_mode\n settings.advanced_features.lite_mode_tool_threshold = self.lite_mode_tool_threshold\n settings.advanced_features.decomposition_strategy = self.decomposition_strategy\n\n if self.browser_enabled:\n logger.debug(\"[CUGA] browser_enabled is true, setting mode to hybrid\")\n settings.advanced_features.mode = \"hybrid\"\n settings.advanced_features.use_vision = False\n else:\n logger.debug(\"[CUGA] browser_enabled is false, setting mode to api\")\n settings.advanced_features.mode = \"api\"\n\n from cuga.backend.activity_tracker.tracker import ActivityTracker\n from cuga.backend.cuga_graph.utils.agent_loop import StreamEvent\n from cuga.backend.cuga_graph.utils.controller import (\n AgentRunner as CugaAgent,\n )\n from cuga.backend.cuga_graph.utils.controller import (\n ExperimentResult as AgentResult,\n )\n from cuga.backend.llm.models import LLMManager\n from cuga.configurations.instructions_manager import InstructionsManager\n\n # Reset var_manager if this is the first message in history\n logger.debug(f\"[CUGA] Checking history_messages: count={len(history_messages) if history_messages else 0}\")\n if not history_messages or len(history_messages) == 0:\n logger.debug(\"[CUGA] First message in history detected, resetting var_manager\")\n else:\n logger.debug(f\"[CUGA] Continuing conversation with {len(history_messages)} previous messages\")\n\n llm_manager = LLMManager()\n llm_manager.set_llm(llm)\n instructions_manager = InstructionsManager()\n\n instructions_to_use = self.instructions or \"\"\n logger.debug(f\"[CUGA] instructions are: {instructions_to_use}\")\n instructions_manager.set_instructions_from_one_file(instructions_to_use)\n tracker = ActivityTracker()\n tracker.set_tools(tools)\n thread_id = self.graph.session_id\n logger.debug(f\"[CUGA] Using thread_id (session_id): {thread_id}\")\n cuga_agent = CugaAgent(browser_enabled=self.browser_enabled, thread_id=thread_id)\n if self.browser_enabled:\n await cuga_agent.initialize_freemode_env(start_url=self.web_apps.strip(), interface_mode=\"browser_only\")\n else:\n await cuga_agent.initialize_appworld_env()\n\n yield {\n \"event\": \"on_chain_start\",\n \"run_id\": str(uuid.uuid4()),\n \"name\": \"CUGA_thinking...\",\n \"data\": {\"input\": {\"input\": current_input, \"chat_history\": []}},\n }\n logger.debug(f\"[CUGA] current web apps are {self.web_apps}\")\n logger.debug(f\"[CUGA] Processing input: {current_input}\")\n try:\n # Convert history to LangChain format for the event\n logger.debug(f\"[CUGA] Converting {len(history_messages)} history messages to LangChain format\")\n lc_messages = []\n for i, msg in enumerate(history_messages):\n msg_text = getattr(msg, \"text\", \"N/A\")[:50] if hasattr(msg, \"text\") else \"N/A\"\n logger.debug(\n f\"[CUGA] Message {i}: type={type(msg)}, sender={getattr(msg, 'sender', 'N/A')}, \"\n f\"text={msg_text}...\"\n )\n if hasattr(msg, \"sender\") and msg.sender == \"Human\":\n lc_messages.append(HumanMessage(content=msg.text))\n else:\n lc_messages.append(AIMessage(content=msg.text))\n\n logger.debug(f\"[CUGA] Converted to {len(lc_messages)} LangChain messages\")\n await asyncio.sleep(0.5)\n\n # 2. Build final response\n response_parts = []\n\n response_parts.append(f\"Processed input: '{current_input}'\")\n response_parts.append(f\"Available tools: {len(tools)}\")\n last_event: StreamEvent | None = None\n tool_run_id: str | None = None\n # 3. Chain end event with AgentFinish\n async for event in cuga_agent.run_task_generic_yield(\n eval_mode=False, goal=current_input, chat_messages=lc_messages\n ):\n logger.debug(f\"[CUGA] recieved event {event}\")\n if last_event is not None and tool_run_id is not None:\n logger.debug(f\"[CUGA] last event {last_event}\")\n try:\n # TODO: Extract data\n data_dict = json.loads(last_event.data)\n except json.JSONDecodeError:\n data_dict = last_event.data\n if last_event.name == \"CodeAgent\":\n data_dict = data_dict[\"code\"]\n yield {\n \"event\": \"on_tool_end\",\n \"run_id\": tool_run_id,\n \"name\": last_event.name,\n \"data\": {\"output\": data_dict},\n }\n if isinstance(event, StreamEvent):\n tool_run_id = str(uuid.uuid4())\n last_event = StreamEvent(name=event.name, data=event.data)\n tool_event = {\n \"event\": \"on_tool_start\",\n \"run_id\": tool_run_id,\n \"name\": event.name,\n \"data\": {\"input\": {}},\n }\n logger.debug(f\"[CUGA] Yielding tool_start event: {event.name}\")\n yield tool_event\n\n if isinstance(event, AgentResult):\n task_result = event\n end_event = {\n \"event\": \"on_chain_end\",\n \"run_id\": str(uuid.uuid4()),\n \"name\": \"CugaAgent\",\n \"data\": {\"output\": AgentFinish(return_values={\"output\": task_result.answer}, log=\"\")},\n }\n answer_preview = task_result.answer[:100] if task_result.answer else \"None\"\n logger.info(f\"[CUGA] Yielding chain_end event with answer: {answer_preview}...\")\n yield end_event\n\n except (ValueError, TypeError, RuntimeError, ConnectionError) as e:\n logger.error(f\"[CUGA] An error occurred: {e!s}\")\n logger.error(f\"[CUGA] Traceback: {traceback.format_exc()}\")\n error_msg = f\"CUGA Agent error: {e!s}\"\n logger.error(f\"[CUGA] Error occurred: {error_msg}\")\n\n # Emit error event\n yield {\n \"event\": \"on_chain_error\",\n \"run_id\": str(uuid.uuid4()),\n \"name\": \"CugaAgent\",\n \"data\": {\"error\": error_msg},\n }\n\n async def message_response(self) -> Message:\n \"\"\"Generate a message response using the Cuga agent.\n\n This method processes the input through the Cuga agent and returns a structured\n message response. It handles agent initialization, tool setup, and event processing.\n\n Returns:\n Message: The agent's response message\n\n Raises:\n Exception: If there's an error during agent execution\n \"\"\"\n logger.debug(\"[CUGA] Starting Cuga agent run for message_response.\")\n logger.debug(f\"[CUGA] Agent input value: {self.input_value}\")\n\n # Validate input is not empty\n if not self.input_value or not str(self.input_value).strip():\n msg = \"Message cannot be empty. Please provide a valid message.\"\n raise ValueError(msg)\n\n try:\n from lfx.schema.content_block import ContentBlock\n from lfx.schema.message import MESSAGE_SENDER_AI\n\n llm_model, self.chat_history, self.tools = await self.get_agent_requirements()\n\n # Create agent message for event processing\n agent_message = Message(\n sender=MESSAGE_SENDER_AI,\n sender_name=\"Cuga\",\n properties={\"icon\": \"Bot\", \"state\": \"partial\"},\n content_blocks=[ContentBlock(title=\"Agent Steps\", contents=[])],\n session_id=self.graph.session_id,\n )\n\n # Pre-assign an ID for event processing, following the base agent pattern\n # This ensures streaming works even when not connected to ChatOutput\n if not self.is_connected_to_chat_output():\n # When not connected to ChatOutput, assign ID upfront for streaming support\n agent_message.data[\"id\"] = uuid.uuid4()\n\n # Get input text\n input_text = self.input_value.text if hasattr(self.input_value, \"text\") else str(self.input_value)\n\n # Create event iterator from call_agent\n event_iterator = self.call_agent(\n current_input=input_text, tools=self.tools or [], history_messages=self.chat_history, llm=llm_model\n )\n\n # Process events using the existing event processing system\n from lfx.base.agents.events import process_agent_events\n\n # Create a wrapper that forces DB updates for event handlers\n # This ensures the UI can see loading steps in real-time via polling\n async def force_db_update_send_message(message, id_=None, *, skip_db_update=False): # noqa: ARG001\n # Always persist to DB so polling-based UI shows loading steps in real-time\n content_blocks_len = len(message.content_blocks[0].contents) if message.content_blocks else 0\n logger.debug(\n f\"[CUGA] Sending message update - state: {message.properties.state}, \"\n f\"content_blocks: {content_blocks_len}\"\n )\n\n result = await self.send_message(message, id_=id_, skip_db_update=False)\n\n logger.debug(f\"[CUGA] Message processed with ID: {result.id}\")\n return result\n\n result = await process_agent_events(\n event_iterator, agent_message, cast(\"SendMessageFunctionType\", force_db_update_send_message)\n )\n\n logger.debug(\"[CUGA] Agent run finished successfully.\")\n logger.debug(f\"[CUGA] Agent output: {result}\")\n\n except Exception as e:\n logger.error(f\"[CUGA] Error in message_response: {e}\")\n logger.error(f\"[CUGA] An error occurred: {e!s}\")\n logger.error(f\"[CUGA] Traceback: {traceback.format_exc()}\")\n\n # Check if error is related to Playwright installation\n error_str = str(e).lower()\n if \"playwright install\" in error_str:\n msg = (\n \"Playwright is not installed. Please install Playwright Chromium using: \"\n \"uv run -m playwright install chromium\"\n )\n raise ValueError(msg) from e\n\n raise\n else:\n return result\n\n async def get_agent_requirements(self):\n \"\"\"Get the agent requirements for the Cuga agent.\n\n This method retrieves and configures all necessary components for the agent\n including the language model, chat history, and tools.\n\n Returns:\n tuple: A tuple containing (llm_model, chat_history, tools)\n\n Raises:\n ValueError: If no language model is selected or if there's an error\n in model initialization\n \"\"\"\n llm_model, display_name = await self.get_llm()\n if llm_model is None:\n msg = \"No language model selected. Please choose a model to proceed.\"\n raise ValueError(msg)\n self.model_name = get_model_name(llm_model, display_name=display_name)\n\n # Get memory data\n self.chat_history = await self.get_memory_data()\n if isinstance(self.chat_history, Message):\n self.chat_history = [self.chat_history]\n\n # Add current date tool if enabled\n if self.add_current_date_tool:\n if not isinstance(self.tools, list):\n self.tools = []\n current_date_tool = (await CurrentDateComponent(**self.get_base_args()).to_toolkit()).pop(0)\n if not isinstance(current_date_tool, StructuredTool):\n msg = \"CurrentDateComponent must be converted to a StructuredTool\"\n raise TypeError(msg)\n self.tools.append(current_date_tool)\n\n # --- ADDED LOGGING START ---\n logger.debug(\"[CUGA] Retrieved agent requirements: LLM, chat history, and tools.\")\n logger.debug(f\"[CUGA] LLM model: {self.model_name}\")\n logger.debug(f\"[CUGA] Number of chat history messages: {len(self.chat_history)}\")\n logger.debug(f\"[CUGA] Tools available: {[tool.name for tool in self.tools]}\")\n logger.debug(f\"[CUGA] metadata: {[tool.metadata for tool in self.tools]}\")\n # --- ADDED LOGGING END ---\n\n return llm_model, self.chat_history, self.tools\n\n async def get_memory_data(self):\n \"\"\"Retrieve chat history messages.\n\n This method fetches the conversation history from memory, excluding the current\n input message to avoid duplication.\n\n Returns:\n list: List of Message objects representing the chat history\n \"\"\"\n logger.debug(\"[CUGA] Retrieving chat history messages.\")\n logger.debug(f\"[CUGA] Session ID: {self.graph.session_id}\")\n logger.debug(f\"[CUGA] n_messages: {self.n_messages}\")\n logger.debug(f\"[CUGA] input_value: {self.input_value}\")\n logger.debug(f\"[CUGA] input_value type: {type(self.input_value)}\")\n logger.debug(f\"[CUGA] input_value id: {getattr(self.input_value, 'id', None)}\")\n\n messages = (\n await MemoryComponent(**self.get_base_args())\n .set(session_id=str(self.graph.session_id), order=\"Ascending\", n_messages=self.n_messages)\n .retrieve_messages()\n )\n logger.debug(f\"[CUGA] Retrieved {len(messages)} messages from memory\")\n return [\n message for message in messages if getattr(message, \"id\", None) != getattr(self.input_value, \"id\", None)\n ]\n\n async def get_llm(self):\n \"\"\"Get language model for the Cuga agent.\n\n This method initializes and configures the language model based on the\n selected provider and parameters.\n\n Returns:\n tuple: A tuple containing (llm_model, display_name)\n\n Raises:\n ValueError: If the model provider is invalid or model initialization fails\n \"\"\"\n logger.debug(\"[CUGA] Getting language model for the agent.\")\n logger.debug(f\"[CUGA] Requested LLM provider: {self.agent_llm}\")\n\n if not isinstance(self.agent_llm, str):\n logger.debug(\"[CUGA] Agent LLM is already a model instance.\")\n return self.agent_llm, None\n\n try:\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if not provider_info:\n msg = f\"Invalid model provider: {self.agent_llm}\"\n raise ValueError(msg)\n\n component_class = provider_info.get(\"component_class\")\n display_name = component_class.display_name\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\", \"\")\n logger.debug(f\"[CUGA] Successfully built LLM model from provider: {self.agent_llm}\")\n return self._build_llm_model(component_class, inputs, prefix), display_name\n\n except (AttributeError, ValueError, TypeError, RuntimeError) as e:\n await logger.aerror(f\"[CUGA] Error building {self.agent_llm} language model: {e!s}\")\n msg = f\"Failed to initialize language model: {e!s}\"\n raise ValueError(msg) from e\n\n def _build_llm_model(self, component, inputs, prefix=\"\"):\n \"\"\"Build LLM model with parameters.\n\n This method constructs a language model instance using the provided component\n class and input parameters.\n\n Args:\n component: The LLM component class to instantiate\n inputs: List of input field definitions\n prefix: Optional prefix for parameter names\n\n Returns:\n The configured LLM model instance\n \"\"\"\n model_kwargs = {}\n for input_ in inputs:\n if hasattr(self, f\"{prefix}{input_.name}\"):\n model_kwargs[input_.name] = getattr(self, f\"{prefix}{input_.name}\")\n return component.set(**model_kwargs).build_model()\n\n def set_component_params(self, component):\n \"\"\"Set component parameters based on provider.\n\n This method configures component parameters according to the selected\n model provider's requirements.\n\n Args:\n component: The component to configure\n\n Returns:\n The configured component\n \"\"\"\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n inputs = provider_info.get(\"inputs\")\n prefix = provider_info.get(\"prefix\")\n model_kwargs = {}\n for input_ in inputs:\n if hasattr(self, f\"{prefix}{input_.name}\"):\n model_kwargs[input_.name] = getattr(self, f\"{prefix}{input_.name}\")\n return component.set(**model_kwargs)\n return component\n\n def delete_fields(self, build_config: dotdict, fields: dict | list[str]) -> None:\n \"\"\"Delete specified fields from build_config.\n\n This method removes unwanted fields from the build configuration.\n\n Args:\n build_config: The build configuration dictionary\n fields: Fields to remove (can be dict or list of strings)\n \"\"\"\n for field in fields:\n build_config.pop(field, None)\n\n def update_input_types(self, build_config: dotdict) -> dotdict:\n \"\"\"Update input types for all fields in build_config.\n\n This method ensures all fields in the build configuration have proper\n input types defined.\n\n Args:\n build_config: The build configuration to update\n\n Returns:\n dotdict: Updated build configuration with input types\n \"\"\"\n for key, value in build_config.items():\n if isinstance(value, dict):\n if value.get(\"input_types\") is None:\n build_config[key][\"input_types\"] = []\n elif hasattr(value, \"input_types\") and value.input_types is None:\n value.input_types = []\n return build_config\n\n async def update_build_config(\n self, build_config: dotdict, field_value: str, field_name: str | None = None\n ) -> dotdict:\n \"\"\"Update build configuration based on field changes.\n\n This method dynamically updates the component's build configuration when\n certain fields change, particularly the model provider selection.\n\n Args:\n build_config: The current build configuration\n field_value: The new value for the field\n field_name: The name of the field being changed\n\n Returns:\n dotdict: Updated build configuration\n\n Raises:\n ValueError: If required keys are missing from the configuration\n \"\"\"\n if field_name in (\"agent_llm\",):\n build_config[\"agent_llm\"][\"value\"] = field_value\n provider_info = MODEL_PROVIDERS_DICT.get(field_value)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n\n provider_configs: dict[str, tuple[dict, list[dict]]] = {\n provider: (\n MODEL_PROVIDERS_DICT[provider][\"fields\"],\n [\n MODEL_PROVIDERS_DICT[other_provider][\"fields\"]\n for other_provider in MODEL_PROVIDERS_DICT\n if other_provider != provider\n ],\n )\n for provider in MODEL_PROVIDERS_DICT\n }\n if field_value in provider_configs:\n fields_to_add, fields_to_delete = provider_configs[field_value]\n\n # Delete fields from other providers\n for fields in fields_to_delete:\n self.delete_fields(build_config, fields)\n\n # Add provider-specific fields\n if field_value == \"OpenAI\" and not any(field in build_config for field in fields_to_add):\n build_config.update(fields_to_add)\n else:\n build_config.update(fields_to_add)\n build_config[\"agent_llm\"][\"input_types\"] = []\n elif field_value == \"Custom\":\n # Delete all provider fields\n self.delete_fields(build_config, ALL_PROVIDER_FIELDS)\n # Update with custom component\n custom_component = DropdownInput(\n name=\"agent_llm\",\n display_name=\"Language Model\",\n options=[*sorted(MODEL_PROVIDERS), \"Custom\"],\n value=\"Custom\",\n real_time_refresh=True,\n input_types=[\"LanguageModel\"],\n options_metadata=[MODELS_METADATA[key] for key in sorted(MODELS_METADATA.keys())]\n + [{\"icon\": \"brain\"}],\n )\n build_config.update({\"agent_llm\": custom_component.to_dict()})\n\n # Update input types for all fields\n build_config = self.update_input_types(build_config)\n\n # Validate required keys\n default_keys = [\n \"code\",\n \"_type\",\n \"agent_llm\",\n \"tools\",\n \"input_value\",\n \"add_current_date_tool\",\n \"instructions\",\n \"agent_description\",\n \"max_iterations\",\n \"handle_parsing_errors\",\n \"verbose\",\n ]\n missing_keys = [key for key in default_keys if key not in build_config]\n if missing_keys:\n msg = f\"Missing required keys in build_config: {missing_keys}\"\n raise ValueError(msg)\n\n if (\n isinstance(self.agent_llm, str)\n and self.agent_llm in MODEL_PROVIDERS_DICT\n and field_name in MODEL_DYNAMIC_UPDATE_FIELDS\n ):\n provider_info = MODEL_PROVIDERS_DICT.get(self.agent_llm)\n if provider_info:\n component_class = provider_info.get(\"component_class\")\n component_class = self.set_component_params(component_class)\n prefix = provider_info.get(\"prefix\")\n if component_class and hasattr(component_class, \"update_build_config\"):\n if isinstance(field_name, str) and isinstance(prefix, str):\n field_name = field_name.replace(prefix, \"\")\n build_config = await update_component_build_config(\n component_class, build_config, field_value, \"model_name\"\n )\n return dotdict({k: v.to_dict() if hasattr(v, \"to_dict\") else v for k, v in build_config.items()})\n\n async def _get_tools(self) -> list[Tool]:\n \"\"\"Build agent tools.\n\n This method constructs the list of tools available to the Cuga agent,\n including component tools and any additional configured tools.\n\n Returns:\n list[Tool]: List of available tools for the agent\n \"\"\"\n logger.debug(\"[CUGA] Building agent tools.\")\n component_toolkit = _get_component_toolkit()\n tools_names = self._build_tools_names()\n agent_description = self.get_tool_description()\n description = f\"{agent_description}{tools_names}\"\n tools = component_toolkit(component=self).get_tools(\n tool_name=\"Call_CugaAgent\", tool_description=description, callbacks=self.get_langchain_callbacks()\n )\n if hasattr(self, \"tools_metadata\"):\n tools = component_toolkit(component=self, metadata=self.tools_metadata).update_tools_metadata(tools=tools)\n logger.debug(f\"[CUGA] Tools built: {[tool.name for tool in tools]}\")\n return tools\n" }, "decomposition_strategy": { "_input_type": "DropdownInput", "advanced": true, "combobox": false, "dialog_inputs": {}, "display_name": "Decomposition Strategy", "dynamic": false, "external_options": {}, "info": "Strategy for task decomposition: 'flexible' allows multiple subtasks per app,\n 'exact' enforces one subtask per app.", "input_types": [], "name": "decomposition_strategy", "options": [ "flexible", "exact" ], "options_metadata": [], "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "flexible" }, "frequency_penalty": { "_input_type": "SliderInput", "advanced": true, "display_name": "Frequency Penalty", "dynamic": false, "info": "Penalty for frequency of token usage.", "input_types": [], "max_label": "", "max_label_icon": "", "min_label": "", "min_label_icon": "", "name": "frequency_penalty", "override_skip": false, "placeholder": "", "range_spec": { "max": 2, "min": -2, "step": 0.01, "step_type": "float" }, "required": false, "show": true, "slider_buttons": false, "slider_buttons_options": [], "slider_input": false, "title_case": false, "tool_mode": false, "track_in_telemetry": false, "type": "slider", "value": 0.5 }, "handle_parsing_errors": { "_input_type": "BoolInput", "advanced": true, "display_name": "Handle Parse Errors", "dynamic": false, "info": "Should the Agent fix errors when reading user input for better processing?", "input_types": [], "list": false, "list_add_label": "Add More", "name": "handle_parsing_errors", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "input_value": { "_input_type": "MessageInput", "advanced": false, "display_name": "Input", "dynamic": false, "info": "The input provided by the user for the agent to process.", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "input_value", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": true, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "instructions": { "_input_type": "MultilineInput", "advanced": false, "ai_enabled": false, "copy_field": false, "display_name": "Instructions", "dynamic": false, "info": "Custom instructions for the agent to adhere to during its operation.\nExample:\n## Plan\n< planning instructions e.g. which tools and when to use>\n## Answer\n< final answer instructions how to answer>", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "instructions", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "## Plan\nFor the filesystem application: write or read files only from `/Users/aviyaeli/Documents/temp/cuga-demo/cuga-demo/cuga_workspace/cuga_workspace`\n\nMy assistant is Jane and her email is cuga.demo@gmail.com" }, "is_refresh": false, "lite_mode": { "_input_type": "BoolInput", "advanced": true, "display_name": "Enable CugaLite", "dynamic": false, "info": "Faster reasoning for simple tasks. Enable CugaLite for simple API tasks.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "lite_mode", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "lite_mode_tool_threshold": { "_input_type": "IntInput", "advanced": true, "display_name": "CugaLite Tool Threshold", "dynamic": false, "info": "Route to CugaLite if app has fewer than this many tools.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "lite_mode_tool_threshold", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "int", "value": 25 }, "logit_bias": { "_input_type": "StrInput", "advanced": true, "display_name": "Logit Bias", "dynamic": false, "info": "JSON string of token IDs to bias or suppress (e.g., {\"1003\": -100, \"1004\": 100}).", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "logit_bias", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "logprobs": { "_input_type": "BoolInput", "advanced": true, "display_name": "Log Probabilities", "dynamic": false, "info": "Whether to return log probabilities of the output tokens.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "logprobs", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "max_iterations": { "_input_type": "IntInput", "advanced": true, "display_name": "Max Iterations", "dynamic": false, "info": "The maximum number of attempts the agent can make to complete its task before it stops.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "max_iterations", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "int", "value": 15 }, "max_tokens": { "_input_type": "IntInput", "advanced": true, "display_name": "Max Tokens", "dynamic": false, "info": "The maximum number of tokens to generate.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "max_tokens", "override_skip": false, "placeholder": "", "range_spec": { "max": 4096, "min": 1, "step": 0.1, "step_type": "float" }, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "int", "value": 1000 }, "model_name": { "_input_type": "DropdownInput", "advanced": false, "combobox": true, "dialog_inputs": {}, "display_name": "Model Name", "dynamic": false, "external_options": {}, "info": "To see the model names, first choose a provider. Then, enter your API key and click the refresh button next to the model name.", "input_types": [], "name": "model_name", "options": [ "ibm/granite-3-2-8b-instruct", "ibm/granite-3-3-8b-instruct", "ibm/granite-3-8b-instruct", "ibm/granite-4-h-small", "ibm/granite-guardian-3-8b", "meta-llama/llama-3-2-11b-vision-instruct", "meta-llama/llama-3-2-90b-vision-instruct", "meta-llama/llama-3-3-70b-instruct", "meta-llama/llama-3-405b-instruct", "meta-llama/llama-4-maverick-17b-128e-instruct-fp8", "meta-llama/llama-guard-3-11b-vision", "mistral-large-2512", "mistralai/mistral-medium-2505", "mistralai/mistral-small-3-1-24b-instruct-2503", "openai/gpt-oss-120b" ], "options_metadata": [], "override_skip": false, "placeholder": "", "real_time_refresh": true, "refresh_button": true, "required": true, "show": true, "title_case": false, "toggle": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "str", "value": "openai/gpt-oss-120b" }, "n_messages": { "_input_type": "IntInput", "advanced": true, "display_name": "Number of Chat History Messages", "dynamic": false, "info": "Number of chat history messages to retrieve.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "n_messages", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "int", "value": 100 }, "presence_penalty": { "_input_type": "SliderInput", "advanced": true, "display_name": "Presence Penalty", "dynamic": false, "info": "Penalty for token presence in prior text.", "input_types": [], "max_label": "", "max_label_icon": "", "min_label": "", "min_label_icon": "", "name": "presence_penalty", "override_skip": false, "placeholder": "", "range_spec": { "max": 2, "min": -2, "step": 0.01, "step_type": "float" }, "required": false, "show": true, "slider_buttons": false, "slider_buttons_options": [], "slider_input": false, "title_case": false, "tool_mode": false, "track_in_telemetry": false, "type": "slider", "value": 0.3 }, "project_id": { "_input_type": "StrInput", "advanced": false, "display_name": "watsonx Project ID", "dynamic": false, "info": "The project ID or deployment space ID that is associated with the foundation model.", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "project_id", "override_skip": false, "placeholder": "", "required": true, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "7b749282-560a-4c66-b194-b9a866a30342" }, "seed": { "_input_type": "IntInput", "advanced": true, "display_name": "Random Seed", "dynamic": false, "info": "The random seed for the model.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "seed", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "int", "value": 8 }, "stop_sequence": { "_input_type": "StrInput", "advanced": true, "display_name": "Stop Sequence", "dynamic": false, "info": "Sequence where generation should stop.", "input_types": [], "list": false, "list_add_label": "Add More", "load_from_db": false, "name": "stop_sequence", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" }, "temperature": { "_input_type": "SliderInput", "advanced": true, "display_name": "Temperature", "dynamic": false, "info": "Controls randomness, higher values increase diversity.", "input_types": [], "max_label": "", "max_label_icon": "", "min_label": "", "min_label_icon": "", "name": "temperature", "override_skip": false, "placeholder": "", "range_spec": { "max": 2, "min": 0, "step": 0.01, "step_type": "float" }, "required": false, "show": true, "slider_buttons": false, "slider_buttons_options": [], "slider_input": false, "title_case": false, "tool_mode": false, "track_in_telemetry": false, "type": "slider", "value": 0.1 }, "tools": { "_input_type": "HandleInput", "advanced": false, "display_name": "Tools", "dynamic": false, "info": "These are the tools that the agent can use to help with tasks.", "input_types": [ "Tool" ], "list": true, "list_add_label": "Add More", "name": "tools", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "trace_as_metadata": true, "track_in_telemetry": false, "type": "other", "value": "" }, "top_logprobs": { "_input_type": "IntInput", "advanced": true, "display_name": "Top Log Probabilities", "dynamic": false, "info": "Number of most likely tokens to return at each position.", "input_types": [], "list": false, "list_add_label": "Add More", "name": "top_logprobs", "override_skip": false, "placeholder": "", "range_spec": { "max": 20, "min": 1, "step": 0.1, "step_type": "float" }, "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "int", "value": 3 }, "top_p": { "_input_type": "SliderInput", "advanced": true, "display_name": "Top P", "dynamic": false, "info": "The cumulative probability cutoff for token selection. Lower values mean sampling from a smaller, more top-weighted nucleus.", "input_types": [], "max_label": "", "max_label_icon": "", "min_label": "", "min_label_icon": "", "name": "top_p", "override_skip": false, "placeholder": "", "range_spec": { "max": 1, "min": 0, "step": 0.01, "step_type": "float" }, "required": false, "show": true, "slider_buttons": false, "slider_buttons_options": [], "slider_input": false, "title_case": false, "tool_mode": false, "track_in_telemetry": false, "type": "slider", "value": 0.9 }, "verbose": { "_input_type": "BoolInput", "advanced": true, "display_name": "Verbose", "dynamic": false, "info": "", "input_types": [], "list": false, "list_add_label": "Add More", "name": "verbose", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_metadata": true, "track_in_telemetry": true, "type": "bool", "value": true }, "web_apps": { "_input_type": "MultilineInput", "advanced": true, "ai_enabled": false, "copy_field": false, "display_name": "Web applications", "dynamic": false, "info": "Cuga will automatically start this web application when Enable Browser is true. Currently only supports one web application. Example: https://example.com", "input_types": [ "Message" ], "list": false, "list_add_label": "Add More", "load_from_db": false, "multiline": true, "name": "web_apps", "override_skip": false, "placeholder": "", "required": false, "show": true, "title_case": false, "tool_mode": false, "trace_as_input": true, "trace_as_metadata": true, "track_in_telemetry": false, "type": "str", "value": "" } }, "tool_mode": false }, "showNode": true, "type": "Cuga" }, "dragging": false, "id": "Cuga-h25LW", "measured": { "height": 755, "width": 320 }, "position": { "x": 1759.5390234287574, "y": 74.42642947803681 }, "selected": true, "type": "genericNode" } ], "viewport": { "x": -623.8434773314191, "y": 80.04713214898203, "zoom": 1.0012983774476478 } }, "description": "Example of CUGA working with workspace files, CRM application and Email to prepare for a conference", "endpoint_name": null, "id": "af63ae2e-2804-4ab5-9259-4e337a09a401", "is_component": false, "last_tested_version": "1.7.0", "name": "CUGA Langflow Demo - Conference Preparation", "tags": [] } ================================================ FILE: docs/flags.html ================================================ Mode Selector with Feature Flags

App Modes

Fast Mode
Optimized for speed and quick responses. Minimal processing overhead with basic feature set for rapid execution.
Performance: Best
Task Complexity: Simple
Exec Time: 4-10s
LLM Calls: 6
Tokens: 21k-24k
Accurate Mode
Maximum precision and comprehensive analysis. All validation and quality checks enabled for critical operations.
Performance: Ok
Task Complexity: Complex
Exec Time: 35-40s
LLM Calls: 10
Tokens: 35k-37k
Balanced Mode
Balanced approach between speed and accuracy. Good performance with moderate feature set for most use cases.
Performance: Good
Task Complexity: Moderate
Exec Time: 9-15s
LLM Calls: 9
Tokens: 29k-33k
Save & Reuse Fast
Fast mode with save and reuse capabilities enabled. Build time same as fast mode, with additional 2s for save operation.
Performance: Good
Task Complexity: Any
Exec Time: 15s-35s -> 3s
LLM Calls: 8 -> 1
Tokens: 21k-24k -> 1k
Custom Mode
Manually configure individual feature flags. Full control over system behavior and resource allocation.
Performance: Variable
Task Complexity: Variable

Feature Flags

Fast Mode
Active Flags: 2
Total Flags: 10
Performance Impact: Low
================================================ FILE: docs/memory/README.md ================================================ # Memory for CUGA This document explains how to enable the use of the memory feature in CUGA. ## 🎯 Overview CUGA execution can be enhanced by enabling episodic memory, which introduces the ability to levearge previously identified insights and relevant experiences when generating the final answer. Some key features include: ### 1. Agentic Memory Component - Extract and store tips in Milvus via mem0 interface. - Endpoints to support CRUD operations for tips and namespaces. - Memory Client for communication with endpoints. - Database dependencies: - Milvus (for tips) - SQLite (for namespace lookup) ### 2. Integration with cuga-agent - Adds `enable_memory` flag to control memory features. - Support Memory port configuration in `settings.toml` - Uses retrieved memory in agents: - Task analyzer - Task decomposition - API shortlist - Code agent - API Code Planner (Will expand to other agents with more experiments) - Extracts tips at the end of a run in activity tracker: self.memory.end_run(namespace_id="memory", run_id=self.experiment_folder) ## 🚀 Quick Start 1. Set `enable_memory=true` in `settings.toml` 2. Start memory API: `cuga start memory` The API will be available at port 8888. ## 📁 Prompt Location ``` cuga/ └── backend/memory/agentic_memory/llm/tips/ └── prompts # Folder with all prompts ``` ## 🔧 How It Works The use cases which motivate the need for memory for CUGA include: 1. Generate insights from successful/failed trajectories - During execution, `memory.add_step` captures summary of step output and any relevant information - The Activity Tracker activates `memory.end_run` at the final step of the FinalAnswerAgent execution - A background process is triggered, to `analyze_run` of the stored trajectory - Analysis invokes LLM with prompt tailored to `extract_cuga_tips_from_data`, resulting in identification, extraction and classification of tips per Cuga sub-agent - `create_and_store_fact `is invoked for each tip, along with relevant metadata ================================================ FILE: docs/sales_app.html ================================================ Accounts Management

Accounts Dashboard

Manage and track your customer accounts.

Total Accounts

0

Total Revenue

$0.00

Active Accounts

0

Account Name Revenue State Industry Status Actions
================================================ FILE: pyproject.toml ================================================ [project] name = "cuga" version = "0.2.24" description = "CUGA is an open-source generalist agent for the enterprise, supporting complex task execution on web and APIs, OpenAPI/MCP integrations, composable architecture, reasoning modes, and policy-aware features." readme = "README.md" license = "Apache-2.0" requires-python = ">=3.10, <3.14" dependencies = [ "langchain>=1.0", "langchain-ibm>=0.3.9", "langchain-openai", "langchain-core>=1.2.22", "aiohttp>=3.13.5", "httpx", "docker", "langgraph", "markdownify", "uvicorn", "fastapi[standard]", "langfuse", "dynaconf>=3.2.13", "playwright>=1.49.0", "browsergym-core==0.13.0", "python-dotenv", "loguru", "mcp[cli]>=1.23.0", "psutil>=7.0.0", "typer>=0.15.3", "typer-slim>=0.15.3", # explicit: docling pulls typer meta-package which needs typer-slim "fastmcp>=3.2.0", "langchain-mcp-adapters", "pyyaml>=6.0.3", "pymilvus[milvus-lite]>=2.6.4", "langchain-groq>=0.3.8", "langchain-litellm", "litellm>=1.83.0", "tavily-python", "fastembed>=0.4.0", "a2a-sdk[http-server]>=0.3.22", "sqlite-vec>=0.1.6", # GHSA-vrcx-gx3g-j3h8 affects <0.1.3 only; 0.1.6 is safe "pgvector>=0.4.2", "asyncpg>=0.30", "PyJWT[crypto]>=2.12.0", "cryptography>=46.0.7", "hvac>=2.0.0", "boto3>=1.34.0", # Knowledge engine (replaces OpenRAG) "langchain-docling>=2.0,<3.0", "torch", # explicit: forces pytorch-cpu index via [tool.uv.sources], avoids 3.5GB nvidia-cuda wheels "torchvision", # explicit: must match torch variant (cpu) to avoid operator registration errors "langchain-ollama>=0.2.0", "langchain-text-splitters>=1.0,<2.0", "beautifulsoup4>=4.12", "psycopg[binary]>=3.2", "cuga-oak-health; python_version>='3.12'", "aiosmtpd", ] [project.optional-dependencies] evaluation = ["rapidfuzz"] e2b = ["e2b-code-interpreter>=2.4.1"] memory = ["mem0ai[extras]"] knowledge = [] # knowledge is now built-in, no extra dependencies needed health = ["cuga-oak-health; python_version>='3.12'"] # kept for backward compat, now also in core deps evolve = ["altk-evolve>=1.0.6; python_version>='3.12'"] # OpenLit (PyPI) pins openai<2; litellm 1.83.x needs openai 2.x — cannot both be core deps for pip/uvx. # Note: When using observability extra, ensure python-dotenv>=1.1.0 is installed to avoid conflicts observability = ["openlit>=1.40.3"] [project.urls] Homepage = "https://cuga.dev" Repository = "https://github.com/cuga-project/cuga-agent" [tool.uv] package = true constraint-dependencies = [ "pillow>=12.2.0", # CVE-2026-25990 (PSD), FITS decompression bomb (10.3.0-12.1.x) "urllib3>=2.6.3", # CVE-2025-66418, CVE-2025-66471, CVE-2025-50181, CVE-2025-50182, CVE-2026-21441 "h11>=0.16.0", # CVE-2025-43859: HTTP request smuggling via chunked encoding # setuptools: Multiple vulnerabilities require >=78.1.1, but constrained to <70 due to milvus-lite # RISK ACCEPTED: Constrained to <70 due to milvus-lite 2.5.1 dependency on pkg_resources # VULNERABILITIES: # - GHSA-cx63-2mw6-8hw5 (<70.0.0): Command injection via package URL # - Path traversal in PackageIndex (<78.1.1): Arbitrary file write leading to potential RCE # JUSTIFICATION: # - milvus-lite 2.5.1 (latest) uses pkg_resources for version detection only # - pkg_resources removed in setuptools 70+, causing ImportError # - Vulnerabilities require attacker control of package URLs or malicious package index # - setuptools primarily used at build-time; runtime exposure minimal # - easy_install and package_index (vulnerable components) are deprecated # MITIGATION: # - Monitor for milvus-lite updates that migrate to importlib.metadata # - Consider implementing pkg_resources shim if setuptools upgrade becomes critical # - Avoid using easy_install or untrusted package indexes "setuptools<70", # Security updates for transitive dependencies "authlib>=1.6.9", # GHSA-wvwj-cvrp-7pv5, GHSA-m344-f55w-2m6j, GHSA-7wc2-qxgw-g8gg, GHSA-7432-952r-cw78 "orjson>=3.11.6", # GHSA-hx9q-6w63-j58v "pyasn1>=0.6.3", # GHSA-jr27-m4p2-rc6r "protobuf>=5.29.6", # GHSA-7gcm-g887-7qv7 "strawberry-graphql>=0.312.3", # CVE: Auth bypass + DoS via unlimited WebSocket subscriptions (<=0.312.2) "arize-phoenix>=14.3.1", # Upgrade to use strawberry-graphql>=0.312.3 (fixes auth bypass vulnerability) ] # litellm 1.83.4 pins python-dotenv==1.0.1; fastmcp needs >=1.1.0 — allow newer for sync/lock only. override-dependencies = ["python-dotenv>=1.1.0"] [tool.uv.sources] torch = { index = "pytorch-cpu" } torchvision = { index = "pytorch-cpu" } torchaudio = { index = "pytorch-cpu" } [[tool.uv.index]] name = "pytorch-cpu" url = "https://download.pytorch.org/whl/cpu" explicit = true # NOTE: uv.lock includes graphql-core 3.3.0a12 (pre-release) to fix strawberry-graphql security vulnerability # RISK ACCEPTED: graphql-core pre-release required by arize-phoenix 14.3.1+ for secure strawberry-graphql # - Lock file generated with: uv lock --upgrade-package strawberry-graphql --upgrade-package arize-phoenix --prerelease=allow # - graphql-core is mature; alpha is for new features, not instability # - Monitor for graphql-core 3.3.0 stable release to remove pre-release dependency # NLTK WordNet Browser DoS vulnerability (<=3.9.3): NO PATCH AVAILABLE # RISK ACCEPTED: nltk is dev-only dependency; vulnerable wordnet_app HTTP server is not used in codebase # - Vulnerability: Unauthenticated remote shutdown via GET /SHUTDOWN%20THE%20SERVER # - Impact: DoS only, affects nltk.app.wordnet_app when exposed on network # - Mitigation: wordnet_app is not imported or used anywhere in the project # - Monitor: Check for NLTK security releases that patch nltk/app/wordnet_app.py # PyPI openlit declares openai<2; litellm 1.83.x needs openai 2.x. Override for uv lock / Docker / dev only. [[tool.uv.dependency-metadata]] name = "openlit" version = "1.40.3" requires-dist = [ "anthropic>=0.42.0,<1.0.0", "boto3>=1.34.0,<2.0.0", "botocore>=1.34.0,<2.0.0", "openai>=1.1.1,<3.0.0", "opentelemetry-api>=1.38.0,<2.0.0", "opentelemetry-exporter-otlp>=1.38.0,<2.0.0", "opentelemetry-instrumentation>=0.52b0,<1.0.0", "opentelemetry-instrumentation-aiohttp-client>=0.52b0,<1.0.0", "opentelemetry-instrumentation-asgi>=0.52b0,<1.0.0", "opentelemetry-instrumentation-django>=0.52b0,<1.0.0", "opentelemetry-instrumentation-falcon>=0.52b0,<1.0.0", "opentelemetry-instrumentation-fastapi>=0.52b0,<1.0.0", "opentelemetry-instrumentation-flask>=0.52b0,<1.0.0", "opentelemetry-instrumentation-httpx>=0.52b0,<1.0.0", "opentelemetry-instrumentation-pyramid>=0.52b0,<1.0.0", "opentelemetry-instrumentation-requests>=0.52b0,<1.0.0", "opentelemetry-instrumentation-starlette>=0.52b0,<1.0.0", "opentelemetry-instrumentation-tornado>=0.52b0,<1.0.0", "opentelemetry-instrumentation-urllib>=0.52b0,<1.0.0", "opentelemetry-instrumentation-urllib3>=0.52b0,<1.0.0", "opentelemetry-sdk>=1.38.0,<2.0.0", "opentelemetry-semantic-conventions>=0.59b0,<1.0.0", "pydantic>=2.0.0,<3.0.0", "requests>=2.26.0,<3.0.0", "schedule>=1.2.2,<2.0.0", "xmltodict>=0.13.0,<1.0.0", ] [tool.setuptools] package-dir = {"" = "src"} [tool.setuptools.packages.find] where = ["src"] exclude = [ "frontend_workspaces*" ] [tool.setuptools.package-data] cuga = [ "configurations/**/*.toml", "configurations/**/*.md", "settings.toml", "backend/**/*.jinja2", "backend/**/*.js", "backend/server/demo_setup_utils/*.json", "frontend/dist/**", "demo_tools/**", ] scripts = ["*.py"] system_tests = ["**/*.py", "**/*.yaml", "**/*.sh"] [project.scripts] load_specs = "scripts.api_utils.load_openapi_specs:main" petstore = "scripts.commands:run_petstore" demo = "scripts.commands:run_demo" registry = "scripts.commands:run_api_registry" registry_appworld = "scripts.commands:run_api_registry_appworld" graph = "scripts.draw_graph:main" eval_api = "scripts.commands:run_eval_api" appworld_eval = "evaluation.appworld_eval:run_main" appworld_setup = "scripts.commands:setup_appworld_environment" appworld_setup_docker = "scripts.commands:setup_appworld_environment_docker" cuga = "cuga.cli:app" code = "evaluation.code_generator:main" exp = "scripts.eval_gui:main" digital_sales_mcp = "scripts.commands:run_digital_sales_mcp" digital_sales_openapi = "scripts.commands:run_digital_sales_openapi" test_llm = "scripts.commands:test_llm" [dependency-groups] dev = [ "pytz>=2025.1", "ruff>=0.9.4", "tabulate", "beartype", "nltk>=3.9.3", "termcolor", "rapidfuzz", "pytest>=8.3.5", "pytest-asyncio>=1.1.0", "cugaviz", "pre-commit>=4.3.0", "questionary>=2.1.1", "rich>=14.2.0", "pip-licenses>=5.5.1", ] google-genai = [ "langchain-google-genai>=2.0.11", ] sandbox = [ "llm-sandbox>=0.1.3", ] [tool.pytest.ini_options] anyio_mode = "auto" markers = [ "e2e: end-to-end tests requiring live external services (registry, etc.)", ] ================================================ FILE: readme_cuga_lite_kaizen.md ================================================ ================================================ FILE: ruff.toml ================================================ # Exclude a variety of commonly ignored directories. exclude = [ ".bzr", ".direnv", ".eggs", ".git", ".git-rewrite", ".hg", ".ipynb_checkpoints", ".mypy_cache", ".nox", ".pants.d", ".pyenv", ".pytest_cache", ".pytype", ".ruff_cache", ".svn", ".tox", ".venv", ".vscode", "__pypackages__", "_build", "buck-out", "build", "dist", "node_modules", "site-packages", "venv", ] # Same as Black. line-length = 110 indent-width = 4 # Assume Python 3.9 target-version = "py312" [lint] # Enable Pyflakes (`F`) and a subset of the pycodestyle (`E`) codes by default. select = ["E4", "E7", "E9", "F"] ignore = [] # Allow fix for all enabled rules (when `--fix`) is provided. fixable = ["ALL"] unfixable = [] # Allow unused variables when underscore-prefixed. dummy-variable-rgx = "^(_+|(_+[a-zA-Z0-9_]*[a-zA-Z0-9]+?))$" [lint.pyflakes] allowed-unused-imports = ["webarena","evaluation.helper_functions"] [format] # Like Black, use double quotes for strings. quote-style = "preserve" # Like Black, indent with spaces, rather than tabs. indent-style = "space" # Like Black, respect magic trailing commas. skip-magic-trailing-comma = false # Like Black, automatically detect the appropriate line ending. line-ending = "auto" ================================================ FILE: run_stability_tests.py ================================================ import os import subprocess from datetime import datetime from dynaconf import Dynaconf import sys import argparse import concurrent.futures import socket import threading import time import uuid import json import glob from pathlib import Path import platform from cuga.config import settings as cuga_settings # Set UTF-8 encoding for stdout/stderr on Windows to handle Unicode characters if platform.system() == "Windows": if sys.stdout.encoding != "utf-8": try: sys.stdout.reconfigure(encoding="utf-8") except (AttributeError, ValueError): # Python < 3.7 or reconfigure not available, use environment variable os.environ["PYTHONIOENCODING"] = "utf-8" if sys.stderr.encoding != "utf-8": try: sys.stderr.reconfigure(encoding="utf-8") except (AttributeError, ValueError): pass # Configuration IMAGE_NAME = "cuga-e2e-tests" DOCKERFILE = "Dockerfile.test" LOGS_CONTAINER_PATH = "/app/src/system_tests/e2e/logs" LOCAL_LOGS_BASE = "test-logs" # List of environment variables that require dynamic port allocation DYNAMIC_PORT_VARS = [ "DYNACONF_SERVER_PORTS__CRM_API", "DYNACONF_SERVER_PORTS__CRM_MCP", "DYNACONF_SERVER_PORTS__DIGITAL_SALES_API", "DYNACONF_SERVER_PORTS__FILESYSTEM_MCP", "DYNACONF_SERVER_PORTS__EMAIL_SINK", "DYNACONF_SERVER_PORTS__EMAIL_MCP", "DYNACONF_SERVER_PORTS__DEMO", "DYNACONF_SERVER_PORTS__REGISTRY", "DYNACONF_SERVER_PORTS__MEMORY", ] class PortManager: """Manages allocation of free ports to avoid conflicts.""" def __init__(self): self._lock = threading.Lock() self._reserved_ports = set() def get_free_port(self): """Finds a free port on localhost.""" with self._lock: while True: with socket.socket(socket.AF_INET, socket.SOCK_STREAM) as s: s.bind(('', 0)) s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) port = s.getsockname()[1] if port not in self._reserved_ports: self._reserved_ports.add(port) return port # If we get here, the port was technically free but in our reserved list (unlikely with OS allocation but possible) time.sleep(0.01) def allocate_ports(self): """Allocates a unique port for each defined dynamic variable.""" allocations = {} for var_name in DYNAMIC_PORT_VARS: allocations[var_name] = str(self.get_free_port()) return allocations port_manager = PortManager() def run_command(cmd, cwd=None, capture_output=False, check=True, env=None): """Run a shell command.""" # In parallel mode, prints might interleave print(f"Running: {' '.join(cmd)} (env vars modified: {bool(env)})") # Merge current env with provided env full_env = os.environ.copy() if env: full_env.update(env) result = subprocess.run(cmd, cwd=cwd, capture_output=capture_output, text=True, check=False, env=full_env) if check and result.returncode != 0: print(f"Error executing command: {cmd}") if result.stderr: print(result.stderr) # Don't exit system-wide in thread raise subprocess.CalledProcessError(result.returncode, cmd, result.stdout, result.stderr) return result def check_image_exists(image_name): """Check if docker image exists.""" cmd = ["docker", "images", "-q", image_name] try: result = run_command(cmd, capture_output=True, check=False) return bool(result.stdout.strip()) except Exception: return False def build_image(): """Build the docker image.""" print(f"Building Docker image {IMAGE_NAME} from {DOCKERFILE}...") cmd = ["docker", "build", "-f", DOCKERFILE, "-t", IMAGE_NAME, "."] run_command(cmd) print("Build complete.") def run_docker_test(test_full_path, run_timestamp): """Run a single test case in a docker container.""" # test_full_path example: src/system_tests/e2e/fast_test.py::TestClass::test_method safe_test_name = test_full_path.replace("/", "_").replace(":", "_").replace(".", "_") container_name = f"cuga_test_{safe_test_name}_{run_timestamp}" print(f"\n--- Running Docker Test: {test_full_path} ---") # Create unique CRM DB path for this test test_uuid = str(uuid.uuid4()) workdir = os.getcwd() crm_db_path = os.path.join(workdir, "crm_tmp", f"crm_db_{test_uuid}") print(f"Allocated CRM DB path for {safe_test_name}: {crm_db_path}") # Run the container docker_cmd = [ "docker", "run", "--name", container_name, "-v", f"{os.getcwd()}/.env:/app/.env", "-e", f"DYNACONF_CRM_DB_PATH={crm_db_path}", IMAGE_NAME, test_full_path, ] try: test_result = run_command(docker_cmd, check=False) success = test_result.returncode == 0 except Exception as e: print(f"Docker run exception: {e}") success = False local_log_dir = os.path.join(LOCAL_LOGS_BASE, run_timestamp, safe_test_name) os.makedirs(local_log_dir, exist_ok=True) print(f"Copying logs for {test_full_path} from container to {local_log_dir}...") # Copy logs from container cp_cmd = ["docker", "cp", f"{container_name}:{LOGS_CONTAINER_PATH}", local_log_dir] run_command(cp_cmd, check=False) # Cleanup container print(f"Removing container {container_name}...") run_command(["docker", "rm", container_name], check=False) return success def kill_process_on_port(port): """Kill any process listening on the given port (cross-platform).""" import platform if platform.system() == "Windows": # Use psutil on Windows (more reliable than netstat) try: import psutil killed_any = False for proc in psutil.process_iter(['pid', 'name']): try: connections = proc.net_connections() if connections: for conn in connections: if ( hasattr(conn, 'laddr') and conn.laddr and conn.laddr.port == port and conn.status == 'LISTEN' ): print( f" Killing process {proc.info['pid']} ({proc.info['name']}) on port {port}" ) proc.terminate() try: proc.wait(timeout=2) except psutil.TimeoutExpired: proc.kill() proc.wait() killed_any = True except (psutil.NoSuchProcess, psutil.AccessDenied, psutil.ZombieProcess): continue if not killed_any: # Port might not be in use, which is fine pass except ImportError: # Fallback to netstat if psutil not available try: result = subprocess.run(["netstat", "-ano"], capture_output=True, text=True, check=False) for line in result.stdout.split('\n'): if f":{port}" in line and "LISTENING" in line: parts = line.split() if len(parts) > 4: pid = parts[-1] subprocess.run(["taskkill", "/F", "/PID", pid], check=False, capture_output=True) except Exception as e: print(f" Warning: Could not kill process on port {port}: {e}") except Exception as e: print(f" Warning: Could not kill process on port {port}: {e}") else: # Unix/Linux: try lsof first, fallback to fuser or ss try: result = subprocess.run(["lsof", "-ti", f":{port}"], capture_output=True, text=True, check=False) if result.returncode == 0 and result.stdout.strip(): pids = result.stdout.strip().split('\n') for pid in pids: if pid: print(f" Killing process {pid} on port {port}") subprocess.run(["kill", "-9", pid], check=False) except FileNotFoundError: # lsof not available, try fuser try: result = subprocess.run( ["fuser", "-k", f"{port}/tcp"], capture_output=True, text=True, check=False ) if result.returncode == 0: print(f" Killed process on port {port} using fuser") except FileNotFoundError: # fuser not available either, try ss + kill try: result = subprocess.run( ["ss", "-lptn", f"sport = :{port}"], capture_output=True, text=True, check=False ) if result.returncode == 0 and result.stdout: import re for line in result.stdout.split('\n'): match = re.search(r'pid=(\d+)', line) if match: pid = match.group(1) print(f" Killing process {pid} on port {port}") subprocess.run(["kill", "-9", pid], check=False) except FileNotFoundError: print( f" Warning: No port killing tool available (lsof/fuser/ss). Port {port} may still be in use." ) except Exception as e: print(f" Warning: Could not kill process on port {port}: {e}") def cleanup_ports(env_ports): """Clean up any processes still running on allocated ports.""" print("\n--- Cleaning up allocated ports ---") for var_name, port in env_ports.items(): try: port_int = int(port) print(f"Checking port {port_int} ({var_name})...") kill_process_on_port(port_int) except (ValueError, TypeError): print(f"Skipping {var_name} (not a port): {port}") except Exception as e: print(f"Warning: Error cleaning up {var_name}: {e}") print("--- Port cleanup complete ---") def run_local_test(test_full_path, run_timestamp, e2b_mode=False): """Run a single test case locally with dynamic port allocation.""" safe_test_name = test_full_path.replace("/", "_").replace(":", "_").replace(".", "_") print(f"\n--- Running Local Test: {test_full_path} ---") # Allocate ports if e2b_mode: # In e2b mode, use fixed port 8001 for registry, allocate others dynamically env_ports = port_manager.allocate_ports() env_ports["DYNACONF_SERVER_PORTS__REGISTRY"] = "8001" print("E2B mode: Using fixed port 8001 for registry") else: env_ports = port_manager.allocate_ports() print(f"Allocated ports for {safe_test_name}: {env_ports}") # Create unique CRM DB path for this test test_uuid = str(uuid.uuid4()) workdir = os.getcwd() crm_db_path = os.path.join(workdir, "crm_tmp", f"crm_db_{test_uuid}") env_ports["DYNACONF_CRM_DB_PATH"] = crm_db_path print(f"Allocated CRM DB path for {safe_test_name}: {crm_db_path}") # Prepare command cmd = ["pytest", test_full_path] # Run pytest with modified environment try: run_command(cmd, check=True, env=env_ports) success = True except subprocess.CalledProcessError: success = False except Exception as e: print(f"Local run exception: {e}") success = False finally: # Always clean up ports after test completes cleanup_ports(env_ports) # Note: Local logs are handled by the test configuration itself (usually writing to files or stdout). # If the test framework writes to a specific directory based on env vars, that would be handled here. # Assuming standard pytest output or that tests are configured to write logs relative to CWD or /tmp. return success def run_test_wrapper(method, test_full_path, run_timestamp, e2b_mode=False): if method == "docker": return run_docker_test(test_full_path, run_timestamp) else: return run_local_test(test_full_path, run_timestamp, e2b_mode=e2b_mode) def generate_summary_report(results_dir: str = "test-results"): """Generate a summary report from collected test results.""" results_path = Path(results_dir) all_results = {} total_passed = 0 total_failed = 0 total_tests = 0 # Collect results from all Python versions if results_path.exists(): result_files = glob.glob(str(results_path / "test_results_python_*.json")) if not result_files: result_files = glob.glob(str(results_path / "**/test_results_python_*.json"), recursive=True) for result_file in result_files: # Extract Python version from filename: test_results_python_3.11.json -> 3.11 filename = Path(result_file).name python_version = filename.replace("test_results_python_", "").replace(".json", "") try: with open(result_file, "r", encoding="utf-8") as f: data = json.load(f) all_results[python_version] = data total_passed += data["passed"] total_failed += data["failed"] total_tests += data["total"] except Exception as e: print(f"Error reading {result_file}: {e}") all_results[python_version] = {"total": 0, "passed": 0, "failed": 0, "pass_rate": 0} # Calculate overall pass rate overall_pass_rate = (total_passed / total_tests * 100) if total_tests > 0 else 0 # Generate report if not all_results: report = [] report.append("## 📊 Stability Test Results") report.append("") report.append("⚠️ No test results found. Tests may have failed before results could be saved.") report.append("Please check individual job logs for details.") summary_text = "\n".join(report) summary_file = os.environ.get("GITHUB_STEP_SUMMARY") if summary_file: with open(summary_file, "w", encoding="utf-8") as f: f.write(summary_text) print(summary_text) return report = [] report.append("## 📊 Stability Test Results") report.append("") report.append( f"**Overall Pass Rate: {overall_pass_rate:.1f}%** ({total_passed}/{total_tests} tests passed)" ) report.append("") # Per-version breakdown report.append("### Results by Python Version") report.append("") report.append("| Python Version | Passed | Failed | Total | Pass Rate |") report.append("|---------------|--------|--------|-------|-----------|") for version in sorted(all_results.keys()): data = all_results[version] status_emoji = "✅" if data["pass_rate"] >= 88 else "⚠️" report.append( f"| {status_emoji} {version} | {data['passed']} | {data['failed']} | {data['total']} | {data['pass_rate']:.1f}% |" ) report.append("") # Aggregate test results across all Python versions test_status_by_name = {} # test_name -> {versions: [list], all_passed: bool, any_failed: bool} for version in sorted(all_results.keys()): data = all_results[version] if data.get("tests"): for test in data["tests"]: test_name = test["name"] if test_name not in test_status_by_name: test_status_by_name[test_name] = { "versions": [], "all_passed": True, "any_failed": False, } test_status_by_name[test_name]["versions"].append( { "version": version, "status": test["status"], } ) if test["status"] == "FAIL": test_status_by_name[test_name]["all_passed"] = False test_status_by_name[test_name]["any_failed"] = True # Overall test results summary report.append("### Overall Test Results") report.append("") # Tests that passed in all versions all_passed_tests = [name for name, info in test_status_by_name.items() if info["all_passed"]] # Tests that failed in at least one version any_failed_tests = [name for name, info in test_status_by_name.items() if info["any_failed"]] if all_passed_tests: report.append("**✅ Tests Passed in All Versions:**") for test_name in sorted(all_passed_tests): report.append(f"- ✅ {test_name}") report.append("") if any_failed_tests: report.append("**❌ Tests Failed in At Least One Version:**") for test_name in sorted(any_failed_tests): # Show which versions passed/failed for this test info = test_status_by_name[test_name] version_statuses = [] for v in info["versions"]: status_emoji = "✅" if v["status"] == "PASS" else "❌" version_statuses.append(f"{status_emoji} {v['version']}") versions_str = ", ".join(version_statuses) report.append(f"- ❌ {test_name} ({versions_str})") report.append("") if not all_passed_tests and not any_failed_tests: report.append("No test results available.") report.append("") # Detailed breakdown if pass rate >= 88% if overall_pass_rate >= 88: report.append("### 📋 Detailed Test Results by Python Version") report.append("") for version in sorted(all_results.keys()): data = all_results[version] report.append(f"#### Python {version}") report.append("") if data.get("tests"): passed_tests = [t for t in data["tests"] if t["status"] == "PASS"] failed_tests = [t for t in data["tests"] if t["status"] == "FAIL"] if passed_tests: report.append("**✅ Passed Tests:**") for test in passed_tests: report.append(f"- ✅ {test['name']}") report.append("") if failed_tests: report.append("**❌ Failed Tests:**") for test in failed_tests: report.append(f"- ❌ {test['name']}") report.append("") else: report.append("### ⚠️ Low Pass Rate") report.append("") report.append(f"Overall pass rate ({overall_pass_rate:.1f}%) is below the 88% threshold.") report.append("Please review the individual job results above for details.") report.append("---") report.append("") report.append("⚠️ Note: Tests are configured to report warnings instead of failures.") report.append("Check individual job results above for detailed test outcomes.") # Write to GitHub step summary summary_text = "\n".join(report) summary_file = os.environ.get("GITHUB_STEP_SUMMARY") if summary_file: with open(summary_file, "w", encoding="utf-8") as f: f.write(summary_text) print(summary_text) def main(): parser = argparse.ArgumentParser(description="Run stability tests.") parser.add_argument("--parallel", action="store_true", help="Run tests in parallel.") parser.add_argument( "--rebuild", action="store_true", help="Force rebuild of the docker image (only for docker method)." ) parser.add_argument("--clean", action="store_true", help="Stop and remove all running test containers.") parser.add_argument( "--method", choices=["local", "docker"], default="docker", help="Execution method: 'local' or 'docker'.", ) parser.add_argument( "--generate-summary", action="store_true", help="Generate summary report from collected test results.", ) parser.add_argument( "--results-dir", default="test-results", help="Directory containing test result JSON files (for --generate-summary).", ) parser.add_argument( "--e2b", action="store_true", help="E2B mode: use fixed port 8001 for registry, run local without parallel.", ) args = parser.parse_args() if args.generate_summary: generate_summary_report(args.results_dir) return if args.clean and args.method == "docker": print("Stopping and removing all test containers (filtered by 'cuga_test_')...") ps_cmd = ["docker", "ps", "-a", "-q", "--filter", "name=cuga_test_"] ps_result = run_command(ps_cmd, capture_output=True, check=False) container_ids = ps_result.stdout.strip().split() if container_ids: print(f"Found {len(container_ids)} containers to remove.") rm_cmd = ["docker", "rm", "-f"] + container_ids run_command(rm_cmd, check=False) print("Cleanup complete.") else: print("No test containers found.") sys.exit(0) # Load configuration print("Loading configuration from stability_test_config.toml...") settings = Dynaconf(settings_files=["src/system_tests/e2e/stability_test_config.toml"]) if args.method == "docker": if args.rebuild or not check_image_exists(IMAGE_NAME): if args.rebuild: print(f"Rebuild requested for {IMAGE_NAME}...") else: print(f"Image {IMAGE_NAME} not found.") build_image() else: print(f"Image {IMAGE_NAME} found. Skipping build.") # Get stability tests try: stability_config = settings.stability tests = stability_config.tests except AttributeError: print("Error: [stability] section or tests not found in stability_test_config.toml") sys.exit(1) run_timestamp = datetime.now().strftime("%Y%m%d_%H%M%S") print(f"Run Timestamp (ID): {run_timestamp}") # E2B mode overrides method and parallel settings if args.e2b: # validate that e2b api key available and settings.server_ports.function_call_host is set if not os.getenv("E2B_API_KEY"): print("Error: E2B_API_KEY not found in environment") sys.exit(1) if not cuga_settings.server_ports.function_call_host: print("Error: settings.server_ports.function_call_host not found in settings.toml") sys.exit(1) # set e2b mode to be enabled os.environ["DYNACONF_ADVANCED_FEATURES__E2B_SANDBOX"] = "true" args.method = "local" args.parallel = False print("E2B mode enabled: forcing local execution without parallel") print(f"Method: {args.method}") results = [] test_targets = [] # Gather all test targets for test_entry in tests: file_path = test_entry.file cases = test_entry.cases for case in cases: # Construct the full pytest target full_target = f"{file_path}::{case}" test_targets.append(full_target) if args.parallel: # Limit concurrent workers on Windows due to slower subprocess spawning # and resource constraints. Windows subprocess creation is significantly # slower than Unix, so fewer concurrent tests reduces contention. if platform.system() == "Windows": # Windows subprocess spawning is much slower than Unix, and concurrent # execution causes significant resource contention. Even with limited # workers, the overhead of managing multiple subprocesses simultaneously # can make parallel execution slower than sequential on Windows. # Use 2 workers as a compromise - allows some parallelism while # minimizing contention. For best performance, consider running # sequentially on Windows (remove --parallel flag). max_workers = min(2, len(test_targets)) print( f"Running {len(test_targets)} tests in parallel (max {max_workers} concurrent on Windows)..." ) else: # On Unix/Linux, we can use more workers as subprocess spawning is faster max_workers = min(8, len(test_targets)) print(f"Running {len(test_targets)} tests in parallel (max {max_workers} concurrent)...") with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor: # Submit all tests future_to_test = { executor.submit(run_test_wrapper, args.method, target, run_timestamp, args.e2b): target for target in test_targets } for future in concurrent.futures.as_completed(future_to_test): target = future_to_test[future] try: success = future.result() results.append((target, success)) except Exception as exc: print(f"\n{target} generated an exception: {exc}") results.append((target, False)) else: print(f"Running {len(test_targets)} tests sequentially...") for target in test_targets: success = run_test_wrapper(args.method, target, run_timestamp, e2b_mode=args.e2b) results.append((target, success)) print("\n\n=== Test Summary ===") all_passed = True # Sort results for cleaner display since parallel execution might mix them up results.sort(key=lambda x: x[0]) passed_count = 0 failed_count = 0 for name, success in results: status = "PASS" if success else "FAIL" print(f"[{status}] {name}") if success: passed_count += 1 else: failed_count += 1 all_passed = False print("\n=== Final Results ===") print(f"Total tests: {len(results)}") print(f"Passed: {passed_count}") print(f"Failed: {failed_count}") # Calculate pass rate pass_rate = (passed_count / len(results) * 100) if len(results) > 0 else 0 print(f"Pass rate: {pass_rate:.1f}%") # Output JSON results for workflow consumption results_json = { "total": len(results), "passed": passed_count, "failed": failed_count, "pass_rate": round(pass_rate, 2), "tests": [{"name": name, "status": "PASS" if success else "FAIL"} for name, success in results], } results_file = os.environ.get("TEST_RESULTS_FILE", "test_results.json") try: # Use UTF-8 encoding explicitly for cross-platform compatibility # Windows defaults to cp1252 which can't encode all Unicode characters with open(results_file, "w", encoding="utf-8") as f: json.dump(results_json, f, indent=2, ensure_ascii=False) try: print(f"\nResults saved to {results_file}") except UnicodeEncodeError: print(f"\nResults saved to {results_file}") except Exception as e: # Safe error printing that handles encoding issues error_msg = str(e) try: print(f"\nWarning: Could not save results to {results_file}: {error_msg}") except UnicodeEncodeError: # Fallback to ASCII-safe message print(f"\nWarning: Could not save results to {results_file}: {repr(e)}") if not all_passed: # Use ASCII-safe characters for Windows compatibility warning_msg = ( f"\nWARNING: {failed_count} test(s) failed. This is reported as a warning, not a failure." ) try: print( f"\n⚠️ WARNING: {failed_count} test(s) failed. This is reported as a warning, not a failure." ) except UnicodeEncodeError: print(warning_msg) print("The workflow will continue to allow other Python versions to run.") sys.exit(0) # Exit with 0 to allow workflow to continue else: try: print("\n✅ All tests passed!") except UnicodeEncodeError: print("\nAll tests passed!") if __name__ == "__main__": main() ================================================ FILE: scripts/deploy-image.sh ================================================ #!/usr/bin/env bash echo "--------------------------------------------------------------" echo 'Commencing image push to registry!' chmod +x ./scripts/* 2>/dev/null || true TARGET_IBM_CLOUD_URL=${1:-$TARGET_IBM_CLOUD_URL} TARGET_IBM_CLOUD_REGION=${2:-$TARGET_IBM_CLOUD_REGION} TARGET_IBM_CLOUD_GROUP=${3:-$TARGET_IBM_CLOUD_GROUP} TARGET_IBM_REGISTRY_URL=${4:-$TARGET_IBM_REGISTRY_URL} CR_NAMESPACE=${5:-$CR_NAMESPACE} IMAGE_NAME=${6:-$IMAGE_NAME} IMAGE_TAG=${7:-$IMAGE_TAG} echo "Login to IBM Cloud using apikey" ibmcloud login -a "$TARGET_IBM_CLOUD_URL" --apikey "$RIS_CLOUD_ACCOUNT_API_KEY" -r "$TARGET_IBM_CLOUD_REGION" -g "$TARGET_IBM_CLOUD_GROUP" if [ $? -ne 0 ]; then echo "Failed to authenticate to IBM Cloud" exit 1 fi echo "Logging into IBM Cloud container registry" ibmcloud cr login if [ $? -ne 0 ]; then echo "Failed to authenticate to IBM Cloud container registry" exit 1 fi echo "Pushing image to registry" docker push $TARGET_IBM_REGISTRY_URL/$CR_NAMESPACE/$IMAGE_NAME:$IMAGE_TAG echo "Done pushing image to registry" ================================================ FILE: scripts/docker-entrypoint.sh ================================================ #!/bin/sh set -e MODE="${CUGA_DEMO_MODE:-default}" # Use the cuga binary directly from the venv to avoid uv reinstalling workspace # packages (which invalidates the bytecode cache and dramatically slows subprocess startup). CUGA="/app/.venv/bin/cuga" case "$MODE" in default) exec "$CUGA" start manager --host 0.0.0.0 ;; crm) exec "$CUGA" start demo_crm --host 0.0.0.0 --cuga-workspace /app/cuga_workspace ;; digital_sales) exec "$CUGA" start demo --host 0.0.0.0 --digital-sales ;; health) exec "$CUGA" start demo_health --host 0.0.0.0 ;; docs|demo_docs) exec "$CUGA" start demo_docs --host 0.0.0.0 ;; knowledge|demo_knowledge) exec "$CUGA" start demo_knowledge --host 0.0.0.0 ;; *) echo "Unknown CUGA_DEMO_MODE=$MODE. Use: default, crm, digital_sales, health, docs (or demo_docs), knowledge (or demo_knowledge)" exit 1 ;; esac ================================================ FILE: scripts/smoke_pip_install_isolated.sh ================================================ #!/usr/bin/env bash # Build cuga wheel and install it with uv pip from an empty /tmp directory (no project context). # This approximates PyPI / uvx resolution — [tool.uv] overrides in the repo are NOT applied. # # For "cuga start demo_crm" smoke, set the same env as CI (see .github/workflows/smoke-pip-install.yml), # at minimum: GROQ_API_KEY. Optional: MODEL_NAME, AGENT_SETTING_CONFIG, OPENAI_API_KEY, OPENAI_BASE_URL. # Success: GET OPENAPI_URL (default http://localhost:7860/openapi.json) returns HTTP 200. set -euo pipefail SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" REPO_ROOT="$(cd "$SCRIPT_DIR/.." && pwd)" PYTHON="${PYTHON:-3.12}" SKIP_BUILD=0 usage() { echo "Usage: $0 [--no-build] [--python X.Y]" echo " --no-build Use existing dist/*.whl (skip uv build)" echo " --python Python version for venv (default: 3.12)" exit "${1:-0}" } while [[ $# -gt 0 ]]; do case "$1" in --no-build) SKIP_BUILD=1 shift ;; --python) shift PYTHON="${1:?--python requires a version}" shift ;; -h | --help) usage ;; *) echo "Unknown option: $1" >&2; usage 1 ;; esac done cd "$REPO_ROOT" if [[ "$SKIP_BUILD" -eq 0 ]]; then echo "==> Building wheel in $REPO_ROOT/dist" uv build -o dist fi shopt -s nullglob wheels=( "$REPO_ROOT"/dist/cuga-*-py3-none-any.whl ) shopt -u nullglob if [[ ${#wheels[@]} -ne 1 ]]; then echo "error: expected exactly one dist/cuga-*-py3-none-any.whl, found ${#wheels[@]}" >&2 exit 1 fi WHEEL="${wheels[0]}" echo "==> Wheel: $WHEEL" WORK_DIR="$(mktemp -d /tmp/cuga-pip-smoke.XXXXXX)" cleanup() { if [[ "${KEEP_WORK_DIR:-0}" == "1" ]]; then echo "==> Kept work dir: $WORK_DIR" else rm -rf "$WORK_DIR" fi } trap cleanup EXIT cd "$WORK_DIR" echo "==> Isolated install dir (no pyproject): $WORK_DIR" echo "==> Creating venv (python $PYTHON)" uv venv .venv --python "$PYTHON" echo "==> uv pip install (PyPI-style; no --project)" cd "$WORK_DIR" uv pip install --python "$WORK_DIR/.venv/bin/python" "$WHEEL" echo "==> Smoke import" "$WORK_DIR/.venv/bin/python" -c "import cuga; from importlib.metadata import version; print('import ok, cuga', version('cuga'))" echo "==> Smoke: cuga start demo_crm (OpenAPI must become reachable, then stop)" # Env is expected from the caller (e.g. GitHub Actions secrets → env), same pattern as .github/workflows/tests.yml if [[ -z "${GROQ_API_KEY:-}" ]]; then echo "error: GROQ_API_KEY must be set for this smoke test" >&2 exit 1 fi command -v curl >/dev/null 2>&1 || { echo "error: curl is required to probe OpenAPI" >&2 exit 1 } # Stop must be the same process as start (direct_processes is in-memory), so we signal the CLI. CUGA_BIN="$WORK_DIR/.venv/bin/cuga" export PATH="$WORK_DIR/.venv/bin:${PATH}" cd "$WORK_DIR" OPENAPI_URL="${OPENAPI_URL:-http://localhost:7860/openapi.json}" OPENAPI_MAX_WAIT="${OPENAPI_MAX_WAIT:-600}" "$CUGA_BIN" start demo_crm & _cuga_pid=$! _deadline=$(( $(date +%s) + ${OPENAPI_MAX_WAIT} )) _ok=0 while (( $(date +%s) < _deadline )); do if ! kill -0 "${_cuga_pid}" 2>/dev/null; then echo "error: cuga start demo_crm exited before ${OPENAPI_URL} became ready (see logs above)" >&2 wait "${_cuga_pid}" 2>/dev/null || true exit 1 fi if curl -sfS --connect-timeout 2 --max-time 15 "${OPENAPI_URL}" >/dev/null 2>&1; then echo "==> OpenAPI reachable: ${OPENAPI_URL} (success)" _ok=1 break fi sleep 3 done if [[ "${_ok}" -ne 1 ]]; then echo "error: OpenAPI not reachable at ${OPENAPI_URL} within ${OPENAPI_MAX_WAIT}s" >&2 kill -TERM "${_cuga_pid}" 2>/dev/null || true wait "${_cuga_pid}" 2>/dev/null || true exit 1 fi if kill -0 "${_cuga_pid}" 2>/dev/null; then kill -TERM "${_cuga_pid}" 2>/dev/null || true wait "${_cuga_pid}" 2>/dev/null || true fi echo "==> Done. Set KEEP_WORK_DIR=1 to preserve $WORK_DIR" ================================================ FILE: src/cuga/__init__.py ================================================ """ CUGA: The Configurable Generalist Agent CUGA is a state-of-the-art generalist agent designed for enterprise needs, combining best-of-breed agentic patterns with structured planning and smart variable management. Quick Start: ```python from cuga import CugaAgent from langchain_core.tools import tool @tool def get_weather(city: str) -> str: '''Get weather for a city''' return f"Weather in {city}: Sunny" agent = CugaAgent(tools=[get_weather]) result = await agent.invoke("What's the weather in NYC?") print(result.answer) ``` For more information, visit: https://cuga.dev """ from cuga.sdk import CugaAgent, CugaSupervisor, run_agent, InvokeResult from cuga.backend.cuga_graph.nodes.cuga_lite.tool_call_tracker import tracked_tool from cuga.backend.knowledge import KnowledgeClient, KnowledgeEngine from cuga.backend.knowledge.config import KnowledgeConfig __version__ = "0.2.20" __all__ = [ "CugaAgent", "CugaSupervisor", "run_agent", "InvokeResult", "tracked_tool", "KnowledgeClient", "KnowledgeEngine", "KnowledgeConfig", ] ================================================ FILE: src/cuga/backend/__init__.py ================================================ ================================================ FILE: src/cuga/backend/activity_tracker/__init__.py ================================================ ================================================ FILE: src/cuga/backend/activity_tracker/join_tool.py ================================================ from typing import List from cuga.backend.tools_env.registry.utils.types import AppDefinition def assign_applications(tools) -> List[AppDefinition]: """ Detects application prefixes and assigns server_name to tool metadata. Returns list of AppDefinition objects for all detected applications. - For tools with metadata=None OR server_name=None: assigns detected app name or 'default' - For tools with existing server_name: leaves unchanged Args: tools (list): List of tool objects with .name and .metadata attributes Returns: List[AppDefinition]: List of app definitions with tools description """ # Common prefixes to exclude (HTTP methods, etc.) excluded_prefixes = {'get', 'post', 'put', 'delete', 'patch', 'head', 'options', 'trace'} # Step 1: Extract tool names for analysis (only for tools that need server_name assignment) tools_to_process = [ tool for tool in tools if tool.metadata is None or tool.metadata.get("server_name", None) is None ] tool_names = [tool.name for tool in tools_to_process] # Step 2: Find potential prefixes and count occurrences prefix_candidates = {} for tool_name in tool_names: # Split by underscore and take the first part as potential prefix if '_' in tool_name: potential_prefix = tool_name.split('_')[0].lower() # Skip if it's an excluded prefix if potential_prefix not in excluded_prefixes: if potential_prefix not in prefix_candidates: prefix_candidates[potential_prefix] = [] prefix_candidates[potential_prefix].append(tool_name) # Step 3: Filter prefixes that appear in multiple tools (consistency check) detected_applications = {} for prefix, tool_list in prefix_candidates.items(): if len(tool_list) > 1: # Prefix appears in multiple tools - consistent! detected_applications[prefix.upper()] = tool_list # Step 4: Assign server_name to metadata for tools that need it for tool in tools: # Only process tools with metadata=None OR server_name=None if tool.metadata is None or tool.metadata.get("server_name", None) is None: tool_name = tool.name server_name = 'default' # Default assignment # Check if this tool belongs to any detected application for app_name, app_tools in detected_applications.items(): if tool_name in app_tools: server_name = app_name break # Initialize metadata if it's None, otherwise just update server_name if tool.metadata is None: tool.metadata = {"server_name": server_name} else: tool.metadata["server_name"] = server_name # Step 5: Collect all unique server_names and their associated tools app_tools_map = {} for tool in tools: if tool.metadata is not None: server_name = tool.metadata.get("server_name") if server_name: if server_name not in app_tools_map: app_tools_map[server_name] = [] app_tools_map[server_name].append(tool.name) # Step 6: Create AppDefinition objects app_definitions = [] for app_name, tool_list in app_tools_map.items(): tools_description = "Available tools: " + ", ".join(sorted(tool_list)) app_def = AppDefinition(name=app_name, description=tools_description, url=None) app_definitions.append(app_def) return app_definitions ================================================ FILE: src/cuga/backend/activity_tracker/render_helper.py ================================================ import argparse import json import os import re from json import JSONDecodeError from pathlib import Path from cuga.backend.cuga_graph.nodes.browser.browser_planner_agent.browser_planner_agent import ( BrowserPlannerAgent, ) HTML_TEMPLATE = """ {body} """ def get_render_action( action: str, action_set_tag: str, ) -> str: """Parse the predicted actions for rendering purpose. More comprehensive information""" action_str = "" action_str += f"
{action}
" return action_str def print_keys(obj): data = "" for key, value in obj.items(): if isinstance(value, list): data += f"
{key}:
" out = [f"
{i + 1}. {v}
" for i, v in enumerate(value) if v] data += "\n".join(out) else: td_str = f"
{key} : {value}
" data += td_str return data class RenderHelper(object): """Helper class to render text and image observations and meta data in the trajectory""" def __init__(self, config_file: str, result_dir: str, light_version: bool = False) -> None: with open(config_file, "r") as f: self._config = json.load(f) task_id = self._config["task_id"] os.makedirs(result_dir, exist_ok=True) self.render_file = open(Path(result_dir) / f"render_{task_id}.html", "a+") self.render_file.truncate(0) self.light_version = light_version # write init template self.render_file.write(HTML_TEMPLATE.format(body="")) self.render_file.read() self.render_file.flush() def render( self, render_screenshot: bool = True, ) -> None: """Render the trajectory""" # text observation new_content = "

" + self._config['intent'] + "

\n" for ( index, step, ) in enumerate(self._config['steps']): new_content += f"

Step {index + 1} : {step['name']}

" if step['name'] == BrowserPlannerAgent: new_content += ( f"
Current URL: {step['current_url']}
\n" ) if render_screenshot: # image observation img = step["image_before"] new_content += f"\n" text_obs = step["observation_before"] new_content += ( f"
" f"
" f"
{text_obs[:300]}"  # Limit text to 300 characters
                    f""  # Hidden part
                    f"
" f" >" f"
\n" f"
\n" ) new_content += f"
{print_keys(json.loads(step['plan']))}
\n" if step['name'] == "ActionAgent": action_str = f"
{step['action_formatted']}
" new_content += f"{action_str}\n" if step['name'] == "TaskDecompositionAgent": td = json.loads(step['task_decomposition']) new_content += print_keys(td) elif 'data' in step and step['data']: try: td = json.loads(step['data']) except JSONDecodeError: td = step['data'] new_content += print_keys(td) if not isinstance(td, str) else td if not self.light_version: kk = f"
Score: {self._config['score']}
" new_content += f"{kk}\n" kk = f"
{self._config.get('eval', '')}
" new_content += f"{kk}\n" new_content += ( "" ) # add new content self.render_file.seek(0) html = self.render_file.read() html_body = re.findall(r"(.*?)", html, re.DOTALL)[0] html_body += new_content html = HTML_TEMPLATE.format(body=html_body) self.render_file.seek(0) self.render_file.truncate() self.render_file.write(html) self.render_file.flush() def close(self) -> None: self.render_file.close() if __name__ == "__main__": # Parse command-line arguments parser = argparse.ArgumentParser(description="Render JSON files to HTML.") parser.add_argument("--config_file", required=True, help="Path to the config file.") parser.add_argument("--result_dir", required=True, help="Directory to save rendered HTML files.") parser.add_argument( "--light_version", required=False, type=bool, default=False, help="Directory to save rendered HTML files.", ) args = parser.parse_args() # Call the render function renderer = RenderHelper( config_file=args.config_file, result_dir=args.result_dir, light_version=args.light_version ) renderer.render() ================================================ FILE: src/cuga/backend/activity_tracker/tracker.py ================================================ import copy import json import os import shutil from datetime import datetime from typing import Any, Dict, List, Optional import time import pandas as pd from cuga.backend.cuga_graph.nodes.api.code_agent.model import CodeAgentOutput from cuga.backend.tools_env.registry.utils.types import AppDefinition from cuga.backend.utils.id_utils import mask_with_timestamp, random_id_with_timestamp from cuga.config import TRAJECTORY_DATA_DIR, settings from langchain_core.tools import StructuredTool from loguru import logger from mcp.types import CallToolResult, TextContent from pydantic import BaseModel, Field AGENT_ANALYTICS = True try: from agent_analytics.instrumentation.utils import AIEventRecorder from agent_analytics_core.interfaces.annotations import DataAnnotation except Exception: AGENT_ANALYTICS = False logger.warning("Ignoring agent analytics") class MergeResult(BaseModel): folder_name: str merged_task_ids: List[str] class Prompt(BaseModel): role: str value: str class Step(BaseModel): name: Optional[str] = "" plan: Optional[str] = "" prompts: List[Prompt] = Field(default_factory=list) data: Optional[str] = "" task_decomposition: Optional[str] = "" current_url: Optional[str] = "" action_formatted: Optional[str] = "" action_type: Optional[str] = "" action_args: Optional[Any] = "" observation_before: Optional[str] = "" image_before: Optional[str] = "" class TasksMetadata(BaseModel): task_ids: List[str] description: Optional[str] = "" experiment_name: str experiment_folder: str created_at: str class ActivityTracker(object): _instance = None start_time: float = 0 user_id: str = "" intent: str = "" session_id: str = "" run_id: str = "" dataset_name: str = "" prompts: List[Prompt] = [] current_date: Optional[str] = None pi: Optional[str] = None eval: Any = None final_answer: Optional[str] = None task_id: str = "default" actions_count: int = 0 token_usage: int = 0 steps: List[Step] = [] images: List[str] = [] score: float = 0.0 tools: Dict[str, List[StructuredTool]] = {} apps: List[AppDefinition] = [] # Task management attributes tasks: Dict[str, Dict[str, Any]] = {} experiment_folder: Optional[str] = None tasks_metadata: Optional[TasksMetadata] = None # Base directory configuration _base_dir: str = TRAJECTORY_DATA_DIR def __new__(cls, *args, **kwargs): if not cls._instance: cls._instance = super(ActivityTracker, cls).__new__(cls) return cls._instance async def invoke_tool(self, server_name: str, tool_name: str, args: dict): if server_name not in self.tools: raise ValueError(f"Server '{server_name}' not found") # Find the tool by name for tool in self.tools[server_name]: if tool.name == tool_name: result = await tool.ainvoke(args) logger.debug(f"type of {type(result)}") # logger.debug(f"Tool output call {result.con}") # Check if result is JSON parseable if isinstance(result, CallToolResult): result = result.content[0] if isinstance(result, TextContent): result = result.text if isinstance(result, str): try: res = json.loads(result) logger.debug("json res worked!") return res except (json.JSONDecodeError, TypeError): logger.debug("no json tool output !!") # Not valid JSON, return original result return result else: logger.debug(f"answer is not str answer is of type {type(result)}") # Result is not a string, return as-is return result # Tool not found available_tools = [tool.name for tool in self.tools[server_name]] raise ValueError( f"Tool '{tool_name}' not found in server '{server_name}'. Available tools: {available_tools}" ) def invoke_tool_sync(self, server_name: str, tool_name: str, args: dict): """Synchronous version of invoke_tool to avoid async/sync context issues""" import asyncio import concurrent.futures if server_name not in self.tools: raise ValueError(f"Server '{server_name}' not found") # Find the tool by name for tool in self.tools[server_name]: if tool.name == tool_name: # Try synchronous invoke first try: result = tool.invoke(args) # Use synchronous invoke except RuntimeError as e: if "event loop is already running" in str(e): # We're in an async context, need to handle this differently try: # Check if we have a running loop asyncio.get_running_loop() # We're in an async context, create a new thread to run the async function def run_in_new_loop(): new_loop = asyncio.new_event_loop() asyncio.set_event_loop(new_loop) try: # Use async invoke in the new loop async def async_invoke(): return await tool.ainvoke(args) return new_loop.run_until_complete(async_invoke()) finally: new_loop.close() with concurrent.futures.ThreadPoolExecutor() as executor: future = executor.submit(run_in_new_loop) result = future.result() except RuntimeError: # No running loop, use asyncio.run import asyncio async def async_invoke(): return await tool.ainvoke(args) result = asyncio.run(async_invoke()) else: raise # logger.debug(f"type of {type(result)}") # logger.debug(f"Tool output call {result}") # Check if result is JSON parseable if isinstance(result, CallToolResult): result = result.content[0] if isinstance(result, TextContent): result = result.text if isinstance(result, str): try: res = json.loads(result) logger.debug("json res worked!") return res except (json.JSONDecodeError, TypeError): logger.debug("no json tool output !!") # Not valid JSON, return original result return result else: logger.debug(f"answer is not str answer is of type {type(result)}") # Result is not a string, return as-is return result # Tool not found available_tools = [tool.name for tool in self.tools[server_name]] raise ValueError( f"Tool '{tool_name}' not found in server '{server_name}'. Available tools: {available_tools}" ) def get_tools_by_server(self, server_name: str) -> Dict[str, Dict]: tools = self.tools if server_name not in tools: return {} server_tools = {} for tool in tools[server_name]: tool_config = { "app_name": server_name, "secure": False, "api_name": tool.name, "path": '', "method": '', "description": tool.description or '', "parameters": tool.args_schema.model_json_schema(), "response_schemas": 'Any', "canary_string": '', } server_tools[tool.name] = tool_config return server_tools def set_tools(self, tools: List[StructuredTool]): """ Detects application prefixes and assigns server_name to tool metadata. Returns list of AppDefinition objects for all detected applications. Optionally fills self.tools dictionary with server_name grouped tools. - For tools with metadata=None OR server_name=None: assigns detected app name or 'default' - For tools with existing server_name: leaves unchanged Args: tools (list): List of tool objects with .name and .metadata attributes self_tools (dict, optional): Dictionary to fill with server_name grouped tools Returns: List[AppDefinition]: List of app definitions with tools description """ self.tools = {} # logger.debug(f"tools: {tools}") # Common prefixes to exclude (HTTP methods, etc.) excluded_prefixes = {'get', 'post', 'put', 'delete', 'patch', 'head', 'options', 'trace'} # Step 1: Extract tool names for analysis (only for tools that need server_name assignment) tools_to_process = [ tool for tool in tools if tool.metadata is None or tool.metadata.get("server_name", None) is None ] tool_names = [tool.name for tool in tools_to_process] # Step 2: Find potential prefixes and count occurrences prefix_candidates = {} for tool_name in tool_names: # Split by underscore and take the first part as potential prefix if '_' in tool_name: potential_prefix = tool_name.split('_')[0].lower() # Skip if it's an excluded prefix if potential_prefix not in excluded_prefixes: if potential_prefix not in prefix_candidates: prefix_candidates[potential_prefix] = [] prefix_candidates[potential_prefix].append(tool_name) # Step 3: Filter prefixes that appear in multiple tools (consistency check) detected_applications = {} for prefix, tool_list in prefix_candidates.items(): if len(tool_list) > 1: # Prefix appears in multiple tools - consistent! detected_applications[prefix.upper()] = tool_list # Step 4: Assign server_name to metadata for tools that need it for tool in tools: # Only process tools with metadata=None OR server_name=None if tool.metadata is None or tool.metadata.get("server_name", None) is None: tool_name = tool.name server_name = 'default_app' # Default assignment # Check if this tool belongs to any detected application for app_name, app_tools in detected_applications.items(): if tool_name in app_tools: server_name = app_name break # Initialize metadata if it's None, otherwise just update server_name if tool.metadata is None: tool.metadata = {"server_name": server_name} else: tool.metadata["server_name"] = server_name # Step 5: Fill self.tools dictionary if provided for tool in tools: # Get server_name from tool metadata server_name = tool.metadata.get('server_name') # Skip tools without server_name metadata if server_name is None: raise Exception("Tool server name is none!") # Initialize list for this server if it doesn't exist if server_name not in self.tools: self.tools[server_name] = [] # Add tool to the appropriate server group self.tools[server_name].append(tool) # Step 6: Collect all unique server_names and their associated tools app_tools_map = {} for tool in tools: if tool.metadata is not None: server_name = tool.metadata.get("server_name") if server_name: if server_name not in app_tools_map: app_tools_map[server_name] = [] app_tools_map[server_name].append(tool) # Step 7: Create AppDefinition objects app_definitions = [] for app_name, tool_list in app_tools_map.items(): tools_description = "Available tools:\n" + "\n".join( f"{tool.name}: {tool.description}" if tool.description else f"{tool.name}:" for tool in sorted(tool_list, key=lambda x: x.name) ) app_def = AppDefinition(name=app_name, description=tools_description, url=None) app_definitions.append(app_def) self.apps = app_definitions def set_base_dir(self, base_dir: str) -> None: """ Set the base directory for logging trajectory data. Args: base_dir (str): The base directory path for storing experiment data """ self._base_dir = base_dir logger.info(f"Base directory set to: {self._base_dir}") def get_base_dir(self) -> str: """ Get the current base directory for logging trajectory data. Returns: str: The current base directory path """ return self._base_dir def get_current_trajectory_path(self) -> Optional[str]: """ Get the full path of the current experiment folder. Returns: Optional[str]: The full path of the experiment folder, or None if no experiment is active. """ if self.experiment_folder: return os.path.join(self._base_dir, self.experiment_folder, self.task_id + ".json") return "" def generate_session_id(self): self.session_id = random_id_with_timestamp(full_date=True) def generate_run_id(self): self.run_id = random_id_with_timestamp(full_date=True) def reset(self, intent, task_id="default"): self.token_usage = 0 self.start_time = time.time() self.current_date = None self.pi = None self.prompts = [] self.run_id = "" self.steps = [] self.images = [] self.actions_count = 0 self.final_answer = None self.task_id = task_id self.intent = intent self.user_id = None def reload_steps(self, task_id: Optional[str] = None) -> bool: """ Reload steps from the current experiment's task JSON file. Args: task_id (str, optional): Task ID to reload. If None, uses current task_id. Returns: bool: True if steps were successfully reloaded, False otherwise. """ # Use provided task_id or fall back to current task_id target_task_id = task_id if task_id is not None else self.task_id if not target_task_id or target_task_id == "default": logger.error("No valid task_id provided for reloading steps") return False # Get the trajectory path for the specified task self.task_id = target_task_id trajectory_path = self.get_current_trajectory_path() if not trajectory_path: logger.error(f"No trajectory path found for task_id: {target_task_id}") return False if not os.path.exists(trajectory_path): logger.error(f"Trajectory file does not exist: {trajectory_path}") return False try: # Read the JSON file with open(trajectory_path, 'r', encoding='utf-8') as f: trajectory_data = json.load(f) # Extract steps from the JSON steps_data = trajectory_data.get('steps', []) # Convert dictionaries back to Step objects reloaded_steps = [] for step_dict in steps_data: try: step = Step(**step_dict) reloaded_steps.append(step) except Exception as e: logger.warning(f"Failed to convert step data to Step object: {e}") continue # Update current steps self.steps = reloaded_steps logger.info(f"Successfully reloaded {len(reloaded_steps)} steps for task_id: {target_task_id}") return True except (json.JSONDecodeError, IOError) as e: logger.error(f"Error reading trajectory file {trajectory_path}: {e}") return False except Exception as e: logger.error(f"Unexpected error while reloading steps: {e}") return False def start_experiment( self, task_ids: List[str], experiment_name: str, description: Optional[str] = "" ) -> str: """ Start a new experiment with given task IDs. Args: task_ids (List[str]): List of task IDs for this experiment experiment_name (str): Name of the experiment description (str, optional): Description of the experiment Returns: str: The experiment folder name """ # Generate experiment folder name using mask_with_timestamp self.experiment_folder = mask_with_timestamp(experiment_name, full_date=True) # Create metadata self.tasks_metadata = TasksMetadata( task_ids=task_ids, description=description, experiment_name=experiment_name, experiment_folder=self.experiment_folder, created_at=datetime.now().isoformat(), ) # Only create files and directories if tracker is enabled if settings.advanced_features.tracker_enabled: # Create directory structure experiment_dir = os.path.join(self._base_dir, self.experiment_folder) os.makedirs(experiment_dir, exist_ok=True) # Save metadata to file metadata_path = os.path.join(experiment_dir, "metadata.json") with open(metadata_path, 'w', encoding='utf-8') as f: json.dump(self.tasks_metadata.model_dump(), f, indent=2, ensure_ascii=False) # Initialize empty files self._initialize_experiment_files(experiment_dir) # Reset tasks dictionary self.tasks = {} return self.experiment_folder def _initialize_experiment_files(self, experiment_dir: str) -> None: """Initialize empty result files for the experiment.""" # Define column order for CSV columns = [ 'task_id', 'site', 'intent', 'agent_answer', 'eval', 'score', 'exception', 'num_steps', 'fail_category', 'agent_v', ] # Create empty results.csv results_csv_path = os.path.join(experiment_dir, "results.csv") df = pd.DataFrame(columns=columns) df.to_csv(results_csv_path, index=False, encoding='utf-8') # Create empty results.json results_json_path = os.path.join(experiment_dir, "results.json") with open(results_json_path, 'w', encoding='utf-8') as f: json.dump({}, f, indent=2, ensure_ascii=False) # Create empty .progress file progress_path = os.path.join(experiment_dir, ".progress") with open(progress_path, 'w', encoding='utf-8') as f: f.write("") def collect_prompt(self, role: str, value: str): self.prompts.append(Prompt(role=role, value=value)) def collect_tokens_usage(self, count: int) -> None: """ Increases the number of tokens used. Args: count (int): The number of times the token is used. """ self.token_usage += count def collect_image(self, img: str) -> None: if not img: return # Ensure the image string is compatible with OpenAI vision API: must be a valid URL or a data URL. if img.startswith("data:image") or img.startswith("http://") or img.startswith("https://"): self.images.append(img) else: # Assume raw base64 PNG data; prepend appropriate data URL header. self.images.append(f"data:image/png;base64,{img}") def collect_step(self, step: Step) -> None: """ Collects a step, adding it to the steps list. Args: step (Step): The description of the step to collect. """ data_json = None try: data_json = json.loads(step.data) except Exception: pass # Attach any collected prompts to this step so they are persisted if getattr(self, "prompts", None): try: step.prompts = list(self.prompts) except Exception: # Ensure prompts never break logging step.prompts = [] # Attach the most recent captured image (if any) to the step if getattr(self, "images", None): try: # Use the last captured screenshot as the "before" image step.image_before = self.images[-1] except Exception: step.image_before = None if AGENT_ANALYTICS: if step.name == "TaskAnalyzerAgent": AIEventRecorder.record_data_annotation( name=step.name, annotation_type=DataAnnotation.Type.RAW_TEXT, annotation_title="Intent", annotation_content=self.intent, ) if step.name == "CodeAgent": res_obj = CodeAgentOutput(**json.loads(step.data)) AIEventRecorder.record_data_annotation( name="CodeAgent", annotation_type=DataAnnotation.Type.CODE_GENERATION, annotation_title="Generated Code", annotation_content="\n" + res_obj.code, ) AIEventRecorder.record_data_annotation( name="CodeAgent", annotation_type=DataAnnotation.Type.CODE_SNIPPET, annotation_title="Code output", annotation_content="\n" + res_obj.execution_output, ) AIEventRecorder.record_data_annotation( name="CodeAgent", annotation_type=DataAnnotation.Type.RAW_TEXT, annotation_title="Output summary", annotation_content="\n" + res_obj.summary, ) else: if data_json and isinstance(data_json, dict): if data_json.get('thoughts', None): AIEventRecorder.record_data_annotation( name=step.name, annotation_type=DataAnnotation.Type.THOUGHT, annotation_title=step.name, annotation_content=f"{data_json.get('thoughts', None)}", ) if len(list(data_json.keys())) == 1 and isinstance( data_json[list(data_json.keys())[0]], str ): AIEventRecorder.record_data_annotation( name=step.name, annotation_type=DataAnnotation.Type.RAW_TEXT, annotation_title=step.name, annotation_content=f"\n\n{data_json[list(data_json.keys())[0]]}", ) else: AIEventRecorder.record_data_annotation( name=step.name, annotation_type=DataAnnotation.Type.RAW_TEXT, annotation_title=step.name, annotation_content=json.dumps(data_json), ) else: AIEventRecorder.record_data_annotation( name=step.name, annotation_type=DataAnnotation.Type.RAW_TEXT, annotation_title=step.name, annotation_content=f"{step.data}", ) if step.image_before: AIEventRecorder.record_data_annotation( name=step.name, annotation_type=DataAnnotation.Type.MULTIMODAL_DATA, annotation_title="Image", annotation_content=f"{step.image_before}", ) step.prompts = copy.deepcopy(self.prompts) self.prompts = [] self.steps.append(step) if settings.advanced_features.tracker_enabled: self.to_file() self.prompts = [] def collect_step_external(self, step: Step, full_path: Optional[str] = None) -> None: """ Collects a step and saves it to a separate log file in a directory specified by an environment variable. The path is retrieved from os.environ['current_folder_path']. The steps are saved to a file named 'recordinglg.json' in that directory. Args: step (Step): The Step object to collect. full_path (Optional[str]): The full file path to save to. If None, the step is skipped. TODO: Properly handle None full_path case - either provide a default path or make the calling code always provide a valid path. Currently returns early if None to avoid errors. """ try: if not settings.advanced_features.tracker_enabled: return # TODO: Handle None full_path properly - either use a default path or require callers to provide one if not full_path: logger.debug("Skipping external step collection: full_path is None") return if not os.path.exists(os.path.dirname(full_path)): logger.error( f"External path directory not found or does not exist: {os.path.dirname(full_path)}" ) return step.prompts = copy.deepcopy(self.prompts) self.prompts = [] self.steps.append(step) self._to_file_external_append(full_path, step) logger.info(f"Step appended to external file: {full_path}") except Exception as e: logger.error(f"Failed to collect and save external step: {e}") def _to_file_external_append(self, full_path: str, new_step: Step): """ Append a new step to an existing JSON file or create a new file if it doesn't exist. This method reads the existing file, appends the new step, and saves it back. Args: full_path (str): The full file path to save/append to. new_step (Step): The new step to append. """ try: # Check if file exists and read existing data if os.path.exists(full_path): with open(full_path, 'r', encoding='utf-8') as f: try: existing_data = json.load(f) # Ensure the existing data has the expected structure if not isinstance(existing_data, dict) or 'steps' not in existing_data: logger.warning(f"Invalid JSON structure in {full_path}, creating new file") existing_data = None except json.JSONDecodeError as e: logger.warning(f"Invalid JSON in {full_path}, creating new file: {e}") existing_data = None else: existing_data = None # If no valid existing data, create new structure if existing_data is None: data_to_save = { "intent": self.intent, "dataset_name": self.dataset_name, "actions_count": self.actions_count, "task_id": self.task_id, "eval": self.eval, "steps": [new_step.model_dump()], "score": self.score, } else: # Update existing data with new step existing_data["steps"].append(new_step.model_dump()) # Update other fields that might have changed existing_data.update( { "intent": self.intent, "dataset_name": self.dataset_name, "actions_count": self.actions_count, "task_id": self.task_id, "eval": self.eval, "score": self.score, } ) data_to_save = existing_data # Write the updated data back to file with open(full_path, 'w', encoding='utf-8') as f: json.dump( data_to_save, f, ensure_ascii=False, indent=4, ) except Exception as e: logger.error(f"Failed to append step to file {full_path}: {e}") raise def collect_score(self, score: float) -> None: """ Collects a step, adding it to the steps list. Args: score (str): The description of the step to collect. """ self.score = score if settings.advanced_features.tracker_enabled: self.to_file() def collect_step_with_pass(self) -> None: """ Placeholder for collecting a step. """ pass def to_file(self): """Save current task data to file in the experiment directory.""" if self.experiment_folder: # Save to experiment directory source_dir = os.path.join(self._base_dir, self.experiment_folder) else: # Fallback to original behavior source_dir = "logging{}".format("_" + self.dataset_name if self.dataset_name else "") os.makedirs(source_dir, exist_ok=True) filename = self.task_id if self.task_id != "default" else self.session_id filepath = os.path.join(source_dir, f"{filename}.json") with open(filepath, 'w', encoding='utf-8') as f: json.dump( { "intent": self.intent, "dataset_name": self.dataset_name, "actions_count": self.actions_count, "task_id": self.task_id, "eval": self.eval, "steps": [d.model_dump() for d in self.steps], "score": self.score, }, f, ensure_ascii=False, indent=4, ) def finish_task( self, task_id: str, site: str, intent: str, agent_answer: Optional[str] = None, eval: Optional[str] = None, score: Optional[float] = None, exception: Optional[bool] = None, num_steps: Optional[int] = None, fail_category: Optional[str] = None, agent_v: Optional[str] = None, duration: Optional[int] = None, total_llm_calls: Optional[int] = None, total_tokens: Optional[int] = None, total_cost: Optional[float] = None, total_cache_input_tokens: Optional[int] = None, ) -> str: """ Mark a task as finished and update result files. Args: task_id (str): Required unique identifier for the task site (str): Required site name intent (str): Task intent/description agent_answer (str, optional): Agent's answer eval (str, optional): Evaluation details score (float, optional): Task score exception (bool, optional): Whether an exception occurred num_steps (int, optional): Number of steps taken fail_category (str, optional): Category of failure if applicable agent_v (str, optional): Agent version Returns: str: The ID of the finished task """ if not self.experiment_folder: raise ValueError("No experiment started. Call start_experiment() first.") # Calculate number of api calls api_calls_num = len([step for step in self.steps if "api_call" in step.name]) # Add task to internal storage self.tasks[task_id] = { "site": site, "intent": intent, "agent_answer": agent_answer, "eval": eval, "score": score, "exception": exception, "num_steps": num_steps if num_steps is not None else len(self.steps), "fail_category": fail_category, "agent_v": agent_v, "duration": duration if duration is not None else time.time() - self.start_time, "total_llm_calls": total_llm_calls, "total_tokens": self.token_usage if not total_tokens else total_tokens, "api_calls": api_calls_num, "total_cost": total_cost, "total_cache_input_tokens": total_cache_input_tokens, } # Update result files only if tracker is enabled if settings.advanced_features.tracker_enabled: self._update_result_files() self._add_to_progress_file(task_id) return task_id def _update_result_files(self) -> None: """Update both JSON and CSV result files.""" if not self.experiment_folder: return experiment_dir = os.path.join(self._base_dir, self.experiment_folder) # Update results.json results_json_path = os.path.join(experiment_dir, "results.json") with open(results_json_path, 'w', encoding='utf-8') as f: json.dump(self.tasks, f, indent=2, ensure_ascii=False) # Update results.csv self._save_csv(experiment_dir) def _save_csv(self, experiment_dir: str) -> None: """Save current tasks to CSV file using pandas.""" # Define the column order columns = [ 'task_id', 'site', 'intent', 'agent_answer', 'eval', 'score', 'exception', 'num_steps', 'fail_category', 'agent_v', 'duration', 'total_llm_calls', 'total_tokens', 'api_calls', 'total_cost', 'total_cache_input_tokens', ] if not self.tasks: # Create empty DataFrame with headers if no tasks df = pd.DataFrame(columns=columns) else: # Convert tasks dictionary to list of dictionaries for DataFrame data = [] for task_id, task_data in self.tasks.items(): row = {'task_id': task_id} row.update(task_data) data.append(row) # Create DataFrame df = pd.DataFrame(data) # Reorder columns to match the desired order df = df.reindex(columns=columns) # Save to CSV results_csv_path = os.path.join(experiment_dir, "results.csv") df.to_csv(results_csv_path, index=False, encoding='utf-8') def _add_to_progress_file(self, task_id: str) -> None: """Add a task ID to the .progress file.""" if not self.experiment_folder: return progress_path = os.path.join(self._base_dir, self.experiment_folder, ".progress") with open(progress_path, 'a', encoding='utf-8') as f: f.write(task_id + '\n') def update_task( self, task_id: str, site: Optional[str] = None, intent: Optional[str] = None, agent_answer: Optional[str] = None, eval: Optional[str] = None, score: Optional[float] = None, exception: Optional[bool] = None, num_steps: Optional[int] = None, fail_category: Optional[str] = None, agent_v: Optional[str] = None, ) -> bool: """ Update an existing task. Args: task_id (str): ID of the task to update site (str, optional): New site intent (str, optional): New intent agent_answer (str, optional): New agent answer eval (str, optional): New evaluation score (float, optional): New score exception (bool, optional): New exception status num_steps (int, optional): New number of steps fail_category (str, optional): New fail category agent_v (str, optional): New agent version Returns: bool: True if task was updated, False if task not found """ if task_id not in self.tasks: return False # Update only provided fields if site is not None: self.tasks[task_id]["site"] = site if intent is not None: self.tasks[task_id]["intent"] = intent if agent_answer is not None: self.tasks[task_id]["agent_answer"] = agent_answer if eval is not None: self.tasks[task_id]["eval"] = eval if score is not None: self.tasks[task_id]["score"] = score if exception is not None: self.tasks[task_id]["exception"] = exception if num_steps is not None: self.tasks[task_id]["num_steps"] = num_steps if fail_category is not None: self.tasks[task_id]["fail_category"] = fail_category if agent_v is not None: self.tasks[task_id]["agent_v"] = agent_v if settings.advanced_features.tracker_enabled: self._update_result_files() return True def remove_task(self, task_id: str) -> bool: """ Remove a task from the results. Args: task_id (str): ID of the task to remove Returns: bool: True if task was removed, False if task not found """ if task_id in self.tasks: del self.tasks[task_id] if settings.advanced_features.tracker_enabled: self._update_result_files() return True return False def get_task(self, task_id: str) -> Optional[Dict[str, Any]]: """ Get a specific task by ID. Args: task_id (str): ID of the task to retrieve Returns: Dict containing task data or None if not found """ return self.tasks.get(task_id) def get_all_tasks(self) -> Dict[str, Dict[str, Any]]: """ Get all tasks. Returns: Dict containing all tasks """ return self.tasks.copy() def find_tasks_by_score(self, score: float) -> Dict[str, Dict[str, Any]]: """ Find all tasks with a specific score. Args: score (float): Score to search for Returns: Dict containing matching tasks """ return {task_id: task for task_id, task in self.tasks.items() if task.get("score") == score} def find_tasks_by_site(self, site: str) -> Dict[str, Dict[str, Any]]: """ Find all tasks with a specific site. Args: site (str): Site to search for Returns: Dict containing matching tasks """ return {task_id: task for task_id, task in self.tasks.items() if task.get("site") == site} def find_tasks_by_exception(self, exception: bool) -> Dict[str, Dict[str, Any]]: """ Find all tasks with specific exception status. Args: exception (bool): Exception status to search for Returns: Dict containing matching tasks """ return {task_id: task for task_id, task in self.tasks.items() if task.get("exception") == exception} def find_tasks_by_agent_version(self, agent_v: str) -> Dict[str, Dict[str, Any]]: """ Find all tasks with a specific agent version. Args: agent_v (str): Agent version to search for Returns: Dict containing matching tasks """ return {task_id: task for task_id, task in self.tasks.items() if task.get("agent_v") == agent_v} def clear_all_tasks(self) -> None: """Remove all tasks from result files.""" self.tasks = {} if self.experiment_folder and settings.advanced_features.tracker_enabled: self._update_result_files() # Clear progress file progress_path = os.path.join(self._base_dir, self.experiment_folder, ".progress") with open(progress_path, 'w', encoding='utf-8') as f: f.truncate(0) def get_task_count(self) -> int: """ Get the total number of tasks. Returns: int: Number of tasks """ return len(self.tasks) def get_statistics(self) -> Dict[str, Any]: """ Get basic statistics about the tasks. Returns: Dict containing task statistics """ if not self.tasks: return {"total_tasks": 0} stats = { "total_tasks": len(self.tasks), "tasks_with_exceptions": len([t for t in self.tasks.values() if t.get("exception") is True]), "tasks_without_exceptions": len([t for t in self.tasks.values() if t.get("exception") is False]), "unique_sites": len(set(t.get("site") for t in self.tasks.values() if t.get("site"))), "unique_agent_versions": len( set(t.get("agent_v") for t in self.tasks.values() if t.get("agent_v")) ), } # Score statistics scores = [t.get("score") for t in self.tasks.values() if t.get("score") is not None] if scores: stats["average_score"] = sum(scores) / len(scores) stats["min_score"] = min(scores) stats["max_score"] = max(scores) return stats def get_dataframe(self) -> pd.DataFrame: """ Get all tasks as a pandas DataFrame. Returns: pd.DataFrame: DataFrame containing all tasks """ columns = [ 'task_id', 'site', 'intent', 'agent_answer', 'eval', 'score', 'exception', 'num_steps', 'fail_category', 'agent_v', ] if not self.tasks: return pd.DataFrame(columns=columns) data = [] for task_id, task_data in self.tasks.items(): row = {'task_id': task_id} row.update(task_data) data.append(row) df = pd.DataFrame(data) return df.reindex(columns=columns) def _copy_task_json_files( self, source_folders: List[str], target_folder: str, selected_task_ids: List[str], base_dir: str = None, ) -> None: """ Copy individual task JSON files from source folders to target folder. Args: source_folders (List[str]): List of source experiment folder names target_folder (str): Target experiment folder name selected_task_ids (List[str]): List of task IDs to copy base_dir (str, optional): Base directory. If None, uses instance base_dir """ if base_dir is None: base_dir = self._base_dir target_dir = os.path.join(base_dir, target_folder) copied_files = 0 skipped_files = 0 for task_id in selected_task_ids: file_found = False # Look for the task JSON file in each source folder for folder_name in source_folders: source_dir = os.path.join(base_dir, folder_name) source_file = os.path.join(source_dir, f"{task_id}.json") if os.path.exists(source_file): target_file = os.path.join(target_dir, f"{task_id}.json") try: # Copy the file shutil.copy2(source_file, target_file) logger.debug(f"Copied {task_id}.json from {folder_name}") copied_files += 1 file_found = True break # Found and copied, move to next task except Exception as e: logger.error(f"Failed to copy {task_id}.json from {folder_name}: {e}") if not file_found: logger.warning(f"Task JSON file {task_id}.json not found in any source folder") skipped_files += 1 logger.info(f"Task JSON files - Copied: {copied_files}, Skipped: {skipped_files}") def merge_experiments( self, experiment_folders: List[str], output_experiment_name: str, description: Optional[str] = "Merged experiments", output_folder: Optional[str] = None, ) -> MergeResult: """ Merge multiple experiment folders, preferring tasks with score 1.0 over 0.0. Also copies individual task JSON files from source experiments. Args: experiment_folders (List[str]): List of experiment folder names to merge output_experiment_name (str): Name for the merged experiment description (str, optional): Description for the merged experiment Returns: MergeResult: Contains folder_name and merged_task_ids """ logger.info(f"Starting merge of {len(experiment_folders)} experiments") # Create new experiment for merged results merged_folder = self.start_experiment( task_ids=[], # Will be populated with merged task IDs experiment_name=output_experiment_name, description=description, ) merged_tasks = {} all_task_ids = set() task_source_mapping = {} # Track which folder each task came from # First pass: collect all tasks and identify duplicates for folder_name in experiment_folders: folder_path = os.path.join(self._base_dir, folder_name) results_json_path = os.path.join(folder_path, "results.json") if not os.path.exists(results_json_path): logger.warning(f"Results file not found in {folder_name}, skipping") continue try: with open(results_json_path, 'r', encoding='utf-8') as f: folder_tasks = json.load(f) logger.info(f"Processing {len(folder_tasks)} tasks from {folder_name}") for task_id, task_data in folder_tasks.items(): all_task_ids.add(task_id) if task_id not in merged_tasks: # First occurrence of this task merged_tasks[task_id] = {**task_data, 'source_experiment': folder_name} task_source_mapping[task_id] = folder_name logger.debug(f"Added new task {task_id} from {folder_name}") else: # Task already exists, apply preference logic existing_score = merged_tasks[task_id].get('score', 0.0) new_score = task_data.get('score', 0.0) if existing_score == 1.0 and new_score != 1.0: # Keep existing (perfect score) should_replace = False elif existing_score != 1.0 and new_score == 1.0: # Replace with perfect score should_replace = True elif existing_score == new_score: # Same score, keep existing (first found) should_replace = False else: # Different scores, prefer higher should_replace = new_score > existing_score if should_replace: merged_tasks[task_id] = {**task_data, 'source_experiment': folder_name} task_source_mapping[task_id] = folder_name logger.debug( f"Replaced task {task_id}: {existing_score} -> {new_score} from {folder_name}" ) else: logger.debug( f"Kept existing task {task_id}: score {existing_score} vs {new_score}" ) except Exception as e: logger.error(f"Error processing {folder_name}: {e}") continue # Update the merged experiment with final task list self.tasks = merged_tasks # Update metadata with actual task IDs if self.tasks_metadata: self.tasks_metadata.task_ids = list(all_task_ids) # Save updated metadata experiment_dir = os.path.join(self._base_dir, merged_folder) metadata_path = os.path.join(experiment_dir, "metadata.json") with open(metadata_path, 'w', encoding='utf-8') as f: json.dump(self.tasks_metadata.model_dump(), f, indent=2, ensure_ascii=False) # Update result files with merged data only if tracker is enabled if settings.advanced_features.tracker_enabled: self._update_result_files() # Update progress file with all task IDs for task_id in merged_tasks.keys(): self._add_to_progress_file(task_id) # Copy individual task JSON files only if tracker is enabled if settings.advanced_features.tracker_enabled: logger.info("Copying individual task JSON files...") selected_task_ids = list(merged_tasks.keys()) self._copy_task_json_files(experiment_folders, merged_folder, selected_task_ids) logger.success(f"Successfully merged {len(merged_tasks)} tasks into {merged_folder}") logger.info(f"Source experiments: {experiment_folders}") score_distribution = {} source_distribution = {} for task_data in merged_tasks.values(): score = task_data.get('score', 0.0) source = task_data.get('source_experiment', 'unknown') score_distribution[score] = score_distribution.get(score, 0) + 1 source_distribution[source] = source_distribution.get(source, 0) + 1 logger.info(f"Score distribution in merged results: {score_distribution}") logger.info(f"Source distribution in merged results: {source_distribution}") # Return MergeResult return MergeResult(folder_name=merged_folder, merged_task_ids=list(merged_tasks.keys())) def list_experiment_folders(self, base_path: Optional[str] = None) -> List[str]: """ List all available experiment folders. Args: base_path (str, optional): Base directory to search for experiments. If None, uses instance base_dir Returns: List[str]: List of experiment folder names """ if base_path is None: base_path = self._base_dir if not os.path.exists(base_path): logger.warning(f"Base path {base_path} does not exist") return [] folders = [] for item in os.listdir(base_path): item_path = os.path.join(base_path, item) if os.path.isdir(item_path): # Check if it looks like an experiment folder (has metadata.json) metadata_path = os.path.join(item_path, "metadata.json") if os.path.exists(metadata_path): folders.append(item) logger.info(f"Found {len(folders)} experiment folders") return sorted(folders) @staticmethod def list_experiment_folders_static(base_path: str = "./logging/trajectory_data") -> List[str]: """ Static method to list all available experiment folders. Args: base_path (str): Base directory to search for experiments Returns: List[str]: List of experiment folder names """ if not os.path.exists(base_path): logger.warning(f"Base path {base_path} does not exist") return [] folders = [] for item in os.listdir(base_path): item_path = os.path.join(base_path, item) if os.path.isdir(item_path): # Check if it looks like an experiment folder (has metadata.json) metadata_path = os.path.join(item_path, "metadata.json") if os.path.exists(metadata_path): folders.append(item) logger.info(f"Found {len(folders)} experiment folders") return sorted(folders) def get_experiment_progress(self, experiment_folder_name: str) -> Dict[str, Any]: """ Get the progress of a specific experiment. Args: experiment_folder_name (str): The name of the experiment folder. Returns: Dict[str, Any]: A dictionary containing 'total_tasks', 'completed_tasks', and 'uncompleted_task_ids'. Returns default values if files are not found or errors occur. """ experiment_dir = os.path.join(self._base_dir, experiment_folder_name) metadata_path = os.path.join(experiment_dir, "metadata.json") progress_path = os.path.join(experiment_dir, ".progress") total_tasks = 0 completed_tasks = 0 all_task_ids = set() completed_task_ids = set() # Read total tasks from metadata.json if os.path.exists(metadata_path): try: with open(metadata_path, 'r', encoding='utf-8') as f: metadata = json.load(f) all_task_ids = set(metadata.get('task_ids', [])) total_tasks = len(all_task_ids) except (json.JSONDecodeError, IOError) as e: logger.error(f"Error reading metadata.json for {experiment_folder_name}: {e}") else: logger.warning(f"metadata.json not found for experiment: {experiment_folder_name}") # Read completed tasks from .progress if os.path.exists(progress_path): try: with open(progress_path, 'r', encoding='utf-8') as f: completed_task_ids = set(line.strip() for line in f if line.strip()) completed_tasks = len(completed_task_ids) except IOError as e: logger.error(f"Error reading .progress file for {experiment_folder_name}: {e}") else: logger.info(f".progress file not found for experiment: {experiment_folder_name}") uncompleted_task_ids = list(sorted(list(all_task_ids - completed_task_ids))) return { "total_tasks": total_tasks, "completed_tasks": completed_tasks, "uncompleted_task_ids": uncompleted_task_ids, } ================================================ FILE: src/cuga/backend/browser_env/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/browser/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/browser/chat_async.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import base64 import logging import re import time from importlib import resources from pathlib import Path from typing import Literal import playwright.async_api from browsergym.core.chat import chat_files from cuga.backend.browser_env.browser.utils_async import _get_global_playwright_async from loguru import logger as logguro_l CHATBOX_DIR = resources.files(chat_files) logger = logging.getLogger(__name__) class Chat: def __init__(self, headless: bool, chat_size=(500, 800), record_video_dir=None, modern=True) -> None: self.headless = headless self.chat_size = chat_size self.record_video_dir = record_video_dir self.browser = None self.messages = [] self.context = None self.page = None self.modern = modern self.recording_start_time = None async def init(self): pw: playwright.async_api.Playwright = await _get_global_playwright_async() self.browser = await pw.chromium.launch( headless=self.headless, args=[f"--window-size={self.chat_size[0]},{self.chat_size[1]}"] ) self.context = await self.browser.new_context( no_viewport=True, record_video_dir=Path(self.record_video_dir) / "chat_video" if self.record_video_dir else None, record_video_size=dict(width=self.chat_size[0], height=self.chat_size[1]), ) self.page = await self.context.new_page() self.recording_start_time = time.time() if self.record_video_dir else None # setup the chat page await self.page.expose_function( "send_user_message", lambda msg: self._js_user_message_received_callback(msg=msg) ) if self.modern: await self.page.set_content(get_chatbox_modern(CHATBOX_DIR)) else: await self.page.set_content(get_chatbox_classic(CHATBOX_DIR)) def _js_user_message_received_callback(self, msg: str): """Callback function for when a user message is received in the chatbox""" utc_time = time.time() self.messages.append({"role": "user", "timestamp": utc_time, "message": msg}) # returning a list as JS doesnt like tuples return ["user", time.strftime("%H:%M", time.localtime(utc_time)), msg] async def add_message( self, role: Literal["user", "user_image", "assistant", "info", "infeasible"], msg: str ): logguro_l.debug(f"\nRole: {role}\n\nMsg:\n{msg}") """Add a message to the chatbox and update the page accordingly.""" utc_time = time.time() if role not in ("user", "user_image", "assistant", "info", "infeasible"): raise ValueError(f"Invalid role: {role}") if role in ("user", "user_image", "assistant", "infeasible"): self.messages.append({"role": role, "timestamp": utc_time, "message": msg}) timestamp = time.strftime("%H:%M:%S", time.localtime(utc_time)) await self.page.evaluate(f"addChatMessage({repr(role)}, {repr(timestamp)}, {repr(msg)});") async def wait_for_user_message(self): logger.info("Waiting for message from user...") # reset flag await self.page.evaluate("USER_MESSAGE_RECEIVED = false;") # wait for flag to be raised await self.page.wait_for_function("USER_MESSAGE_RECEIVED", polling=100, timeout=0) logger.info("Message received.") async def close(self): await self.context.close() await self.browser.close() def get_chatbox_modern(chatbox_dir) -> str: with open(chatbox_dir / "chatbox_modern.html", "r") as file: chatbox_html = file.read() return chatbox_html def get_chatbox_classic(chatbox_dir) -> str: with open(chatbox_dir / "chatbox.html", "r") as file: chatbox_html = file.read() with open(chatbox_dir / "assistant.png", "rb") as f: image_base64 = base64.b64encode(f.read()).decode("utf-8") assistant_image_url = f"data:image/png;base64,{image_base64}" chatbox_html = re.sub("", assistant_image_url, chatbox_html) return chatbox_html ================================================ FILE: src/cuga/backend/browser_env/browser/env.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import playwright from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE from playwright.sync_api import sync_playwright class BrowserEnvSimple: def __init__(self): # Initialize Playwright and the browser instance self.playwright = sync_playwright().start() self.playwright.selectors.set_test_id_attribute(BROWSERGYM_ID_ATTRIBUTE) self.browser = None self.context = None self.page = None self.feedback = [] def _wait_dom_loaded(self): for page in self.context.pages: try: page.wait_for_load_state("domcontentloaded", timeout=3000) except playwright.sync_api.Error: pass for frame in page.frames: try: frame.wait_for_load_state("domcontentloaded", timeout=3000) except playwright.sync_api.Error: pass def _active_page_check(self): # make sure there is always a page open # if all pages have been closed, create a new page if len(self.context.pages) == 0: self.page = self.context.new_page() # if the active page got closed, get the last active page from the history while self.page_history and (self.page.is_closed() or self.page not in self.context.pages): self.page_history.pop(self.page) # remove active page from history self.page = list(self.page_history.keys())[ -1 ] # set last active page as the active page (most recent) # active page should share the same browser context with the environment if self.page not in self.context.pages: raise RuntimeError( f"Unexpected: active page is not part of the browser context's open pages ({self.page})." ) # active page should not be closed if self.page.is_closed(): raise RuntimeError(f"Unexpected: active page has been closed ({self.page}).") def reset(self): self._wait_dom_loaded() # after the task's setup, the active page might have changed # perform a safety check # self._active_page_check() pass def start_browser(self, headless=False): # Launch the browser self.browser = self.playwright.chromium.launch(headless=headless, args=["--no-sandbox"]) self.page = self.browser.new_page() self.context = self.browser.contexts[0] def navigate_to_page(self, url): # Navigate to the specified URL if self.page: self.page.goto(url, timeout=30000) print(f"Page title: {self.page.title()}") else: print("Browser not started. Call start_browser() first.") def close_browser(self): # Close the browser and stop Playwright if self.page: self.page.close() if self.browser: self.browser.close() if self.playwright: self.playwright.stop() ================================================ FILE: src/cuga/backend/browser_env/browser/extension_env_async.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import logging import time from typing import Any, List, Literal import gymnasium as gym import numpy as np # from browsergym.core.action.base import execute_python_code_async # Assume async version from browsergym.core.spaces import AnyBox, AnyDict, Unicode from langchain_core.messages import AIMessage from cuga.backend.browser_env.browser.gym_obs.http_stream_comm import ChromeExtensionCommunicatorProtocol from cuga.backend.browser_env.browser.open_ended_async import AbstractBrowserTask from cuga.backend.browser_env.page_understanding.pu_extractor_chrome_extension import ( PageUnderstandingExtractorChromeExtension, PageUnderstandingExtractorProtocol, ) from cuga.backend.browser_env.page_understanding.extension_processor import ExtensionProcessor from cuga.backend.browser_env.tools.providers import BrowserToolImplProvider, ExtensionToolImplProvider logger = logging.getLogger(__name__) class ExtensionEnv: """The main BrowserGym class, which encapsulates instruction-following Web browsing into a Gymnasium environment.""" # gym metadata metadata = {"render_modes": None} def __init__( self, task_entrypoint: type[AbstractBrowserTask], extension_communicator: ChromeExtensionCommunicatorProtocol, task_kwargs: dict = {}, feedback: List[Any] = [], user_data_dir: str | None = None, tags_to_mark: Literal["all", "standard_html"] = "standard_html", messages: List[AIMessage] | None = None, timeout: int | None = None, # will override the task's timeout locale: str | None = None, # will override the task's locale timezone_id: str | None = None, # will override the task's timezone_id, tool_implementation_provider: BrowserToolImplProvider | None = None, page_understanding_processor: PageUnderstandingExtractorProtocol | None = None, ): """ Instantiate a ready to use BrowserEnv gym environment. Args: task_entrypoint: a callable that returns a new task object from a seed. Used for creating a new task during `reset()`. task_kwargs: additional arguments passed to `task_entrypoint`. viewport: desired viewport size. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. slow_mo: desired slow_mo value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. timeout: desired timeout value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. locale: desired user locale for Playwright, for example en-GB, de-DE, etc. This will override the value defined by the task, which might change its behaviour and difficulty. timezone_id. desired timezone for Playwright, for example "Pacific/Tahiti". This will override the value defined by the task, which might change its behaviour and difficulty. tags_to_mark: which HTML tags should be marked by BrowserGym and receive a bid. Value "all" will mark every element in the page, while "standard_html" (default) will only mark standard html tags. interface_mode: which interface to enable - "chat_only", "browser_only", or "both". headless: whether the browser should run in headless mode or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Headless mode should only be disabled for debugging/testing. wait_for_user_message: whether the environment should pause and wait for a user message in the chat after a new message is sent by the agent. Useful for running agents in interactive mode. resizeable_window: whether the browser window should be resizeable or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Should only be set for debugging/testing. record_video_dir: if set, indicates a directory to which viewport videos will be recorded. pw_chromium_kwargs: extra parameters for the playwright Browser. Should only be used for debugging/testing. pw_context_kwargs: extra parameters for the playwright BrowserContext. Should only be used for debugging/testing. action_mapping: if set, the environment will use this function to map every received action to executable Python code. """ super().__init__() self.task_entrypoint = task_entrypoint self.user_data_dir = user_data_dir self.task_kwargs = dict(**task_kwargs) self.messages = messages if messages else [] self.tags_to_mark = tags_to_mark self.extension_communicator = extension_communicator self.tool_implementation_provider = tool_implementation_provider or ExtensionToolImplProvider() self.timeout = timeout self.locale = locale self.timezone_id = timezone_id self.feedback = feedback self.pu_processor = page_understanding_processor or ExtensionProcessor( extractor=PageUnderstandingExtractorChromeExtension( communicator=self.extension_communicator, tags_to_mark=self.tags_to_mark ) ) # check argument values assert tags_to_mark in ("all", "standard_html") # task self.task = None # playwright self.page_history: dict = {} # compatiblity self.page = None # observation space self.observation_space = gym.spaces.Dict( { "chat_messages": gym.spaces.Sequence( gym.spaces.Dict( { "role": Unicode(), "message": Unicode(), } ) ), "goal": Unicode(), "goal_object": gym.spaces.Sequence(AnyDict()), "open_pages_urls": gym.spaces.Sequence(Unicode()), "open_pages_titles": gym.spaces.Sequence(Unicode()), "active_page_index": gym.spaces.Box(low=0, high=255, dtype=int), "url": Unicode(), "screenshot": AnyBox( low=0, high=255, shape=(-1, -1, 3), dtype=np.uint8, ), # swapped axes (height, width, RGB) "dom_object": AnyDict(), "nocodeui_pu": AnyDict(), "axtree_object": AnyDict(), "extra_element_properties": AnyDict(), "focused_element_bid": Unicode(), "last_action": Unicode(), "last_action_error": Unicode(), "elapsed_time": gym.spaces.Box(low=0, high=np.inf, dtype=float), } ) # action space self.action_space = Unicode() def get_url(self) -> str | None: return self.pu_processor.get_page_url() async def get_title(self) -> str | None: return self.pu_processor.get_page_title() async def close(self): if self.task: # stop the task await self.task.teardown() self.task = None async def reset(self, seed=None, **kwargs): self.np_random = None # make sure all randomness is handled by the task if self.task: await self.task.teardown() # create a new task self.task = self.task_entrypoint(seed=seed, **self.task_kwargs) task_goal, task_info = await self.task.setup(page=None) # process the task goal # no goal specified if task_goal is None: self.goal_object = [] # convert text-only goal (legacy) to new format elif isinstance(task_goal, str): self.goal_object = [{"type": "text", "text": task_goal}] # new format goal with multiple texts and images (OpenAI style) elif isinstance(task_goal, list): self.goal_object = task_goal else: raise ValueError(f"task_goal should be of type str or list, got {task_goal.__class__}") # We expect that if we arrived here from the extension the page is ready # init start time self.start_time = time.time() # no action yet self.last_action = "" self.last_action_error = "" self.infeasible_message_received = False # extract obs and info from environment self.pu_processor = ExtensionProcessor( PageUnderstandingExtractorChromeExtension( communicator=self.extension_communicator, tags_to_mark=self.tags_to_mark ) ) obs = await self._get_obs() info = {} info["task_info"] = task_info return obs, info async def send_chat_message(self, role: str, content: str): await self._send_to_chat(content=f"{role}, {content}") async def _send_to_chat(self, content: str): if not isinstance(content, str): raise ValueError(f"Forbidden value: {content} is not a string") # Fire-and-forget via very small timeout. The extension background # worker forwards these to the popup but doesn't always reply; we # do not want to block here. try: await self.extension_communicator.send_request( {"type": "agent_response", "content": content}, timeout=0.05 ) except Exception: # It's ok if this times out; the command was queued and the UI # will still receive it via the command stream. pass async def step(self, action: str) -> tuple: """Execute one environment step. Mirrors the async gym env flow, but relies on the Chrome extension for observations and uses the HTTP stream communicator to surface chat messages to the UI. """ self.last_action = action info: dict[str, Any] = {} info["action_exec_start"] = time.time() info["action_exec_timeout"] = 0 async def send_message_to_user(text: str): await self._send_to_chat(text) async def report_infeasible_instructions(reason: str): await self._send_to_chat(reason) self.infeasible_message_received = True # Execute action if applicable (no-op placeholder for now) logger.debug("Executing action (extension env)") try: # In this environment, actions are executed via higher-level tools # that talk to the extension. Nothing to run here yet. self.last_action_error = "" except Exception as e: self.last_action_error = f"{type(e).__name__}: {e}" finally: info["action_exec_stop"] = time.time() # Task-specific validation (no playwright page in extension mode) logger.debug("Initiating task validation (extension env)") reward, done, user_message, task_info = await self.task.validate(None, self.messages) info["task_info"] = task_info logger.debug("Task validation done (extension env)") # Send any user message emitted by the task to the chat UI if user_message: await self._send_to_chat(user_message) # Extract observation obs = await self._get_obs() logger.debug("Observation extracted (extension env)") terminated = done or self.infeasible_message_received truncated = False return obs, reward, terminated, truncated, info async def _get_obs(self): # Initialize default values for browser-dependent fields screenshot = None pu_output = None url = "" open_pages_urls = [] open_pages_titles = [] # active_page_index = np.asarray([0]) dom_object = {} axtree_object = {} extra_properties = {} focused_element_bid = "" if not await self.extension_communicator.ping(): return # post-extraction cleanup of temporary info in dom await self.extension_communicator.unmark_elements() # Get browser-specific information screenshot = await self.extension_communicator.extract_screenshot() pu_output = await self.pu_processor.extract() url = await self.extension_communicator.get_active_tab_url() # Derive title from PU extractor output to avoid extension command dependency title = getattr(pu_output, "page_title", None) or "" open_pages_urls = [url] # For now we support only one url open_pages_titles = [title] # For now we support only one title # active_page_index = np.asarray([0]) # TODO: Check if we need this # Extract pu_output fields dom_object = pu_output.dom_object axtree_object = pu_output.accessibility_tree extra_properties = pu_output.extra_properties focused_element_bid = pu_output.focused_element_bid nocodeui_pu = pu_output.nocodeui_pu # obs is generic to all tasks obs = { "chat_messages": [], # Populate if needed # "goal": _try_to_extract_legacy_goal(self.goal_object), # legacy goal, deprecated "goal_object": self.goal_object, # new goal format, list of messages openai style "open_pages_urls": open_pages_urls, "open_pages_titles": open_pages_titles, # "active_page_index": active_page_index, "url": url, # redundant with "open_pages_urls" and "active_page_index" "nocodeui_pu": nocodeui_pu, "screenshot": screenshot, "dom_object": dom_object, "dom_tree": pu_output.dom_tree, "axtree_object": axtree_object, "extra_element_properties": extra_properties, "focused_element_bid": focused_element_bid, "last_action": self.last_action, "last_action_error": self.last_action_error, "elapsed_time": np.asarray([time.time() - self.start_time]), } return obs ================================================ FILE: src/cuga/backend/browser_env/browser/gym_env.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import copy import logging import time from abc import ABC from pathlib import Path from typing import Any, List, Literal, Optional import gymnasium as gym import numpy as np import playwright.sync_api from browsergym.core import _get_global_playwright from browsergym.core.action.highlevel import HighLevelActionSet from browsergym.core.chat import Chat from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE, EXTRACT_OBS_MAX_TRIES from browsergym.core.observation import ( MarkingError, _post_extract, _pre_extract, extract_dom_extra_properties, extract_dom_snapshot, extract_focused_element_bid, extract_merged_axtree, extract_screenshot, ) from browsergym.core.spaces import AnyBox, AnyDict, Unicode from browsergym.core.task import AbstractBrowserTask from cuga.backend.browser_env.browser.nocodeui_obs.main import analyze_current_page_sync logger = logging.getLogger(__name__) def _try_to_extract_legacy_goal(goal: list): legacy_goal_strings = [] for message in goal: if message["type"] == "text": legacy_goal_strings.append(message["text"]) else: logger.debug( f"Message type {repr(message['type'])} present in the goal, cannot be converted to legacy text-only format." ) legacy_goal_strings.append( 'WARNING: This goal cannot be converted to a text-only goal format. Use the new goal format instead ("goal_object" field). Any agent reading this should abort immediately.' ) break legacy_goal = "\n".join(legacy_goal_strings) return legacy_goal class BrowserEnvGym(gym.Env, ABC): """The main BrowserGym class, which encapsulates instruction-following Web browsing into a Gymnasium environment.""" # gym metadata metadata = {"render_modes": None} def __init__( self, # task-related arguments task_entrypoint: type[AbstractBrowserTask], task_kwargs: dict = {}, feedback: List[Any] = [], viewport: Optional[dict] = None, # will override the task's viewport slow_mo: Optional[int] = None, # will override the task's slow_mo timeout: Optional[int] = None, # will override the task's timeout locale: Optional[str] = None, # will override the task's locale timezone_id: Optional[str] = None, # will override the task's timezone_id tags_to_mark: Literal["all", "standard_html"] = "standard_html", enable_nocodeui_pu: bool = False, # interactive / debugging arguments headless: bool = True, wait_for_user_message: bool = False, terminate_on_infeasible: bool = True, resizeable_window: bool = False, record_video_dir: Optional[str] = None, pw_chromium_kwargs: dict = {}, pw_context_kwargs: dict = {}, pw_extra_args: list = [], # agent-related arguments action_mapping: Optional[callable] = HighLevelActionSet().to_python_code, ): """ Instantiate a ready to use BrowserEnv gym environment. Args: task_entrypoint: a callable that returns a new task object from a seed. Used for creating a new task during `reset()`. task_kwargs: additional arguments passed to `task_entrypoint`. viewport: desired viewport size. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. slow_mo: desired slow_mo value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. timeout: desired timeout value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. locale: desired user locale for Playwright, for example en-GB, de-DE, etc. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. timezone_id. desired timezone for Playwright, for example "Pacific/Tahiti". This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. tags_to_mark: which HTML tags should be marked by BrowserGym and receive a bid. Value "all" will mark every element in the page, while "standard_html" (default) will only mark standard html tags. headless: whether the browser should run in headless mode or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Headless mode should only be disabled for debugging/testing. wait_for_user_message: whether the environment should pause and wait for a user message in the chat after a new message is sent by the agent. Useful for running agents in interactive mode. resizeable_window: whether the browser window should be resizeable or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Should only be set for debugging/testing. record_video_dir: if set, indicates a directory to which viewport videos will be recorded. pw_chromium_kwargs: extra parameters for the playwright Browser. Should only be used for debugging/testing. pw_context_kwargs: extra parameters for the playwright BrowserContext. Should only be used for debugging/testing. action_mapping: if set, the environment will use this function to map every received action to executable Python code. """ super().__init__() self.task_entrypoint = task_entrypoint self.task_kwargs = dict(**task_kwargs) self.viewport = viewport self.slow_mo = slow_mo self.timeout = timeout self.locale = locale self.timezone_id = timezone_id self.tags_to_mark = tags_to_mark self.headless = headless self.wait_for_user_message = wait_for_user_message self.terminate_on_infeasible = terminate_on_infeasible self.resizeable_window = resizeable_window self.record_video_dir = record_video_dir self.pw_chromium_kwargs = pw_chromium_kwargs self.pw_context_kwargs = pw_context_kwargs self.action_mapping = action_mapping self.feedback = feedback self.enable_nocodeui_pu = enable_nocodeui_pu # check argument values assert tags_to_mark in ("all", "standard_html") self.pw_extra_args = pw_extra_args # task self.task = None # playwright self.browser: playwright.sync_api.Browser = None self.context: playwright.sync_api.BrowserContext = None self.page: playwright.sync_api.Page = None self.page_history: dict = {} # chat self.chat: Chat = None # observation space self.observation_space = gym.spaces.Dict( { "chat_messages": gym.spaces.Sequence( gym.spaces.Dict( { "role": Unicode(), "message": Unicode(), } ) ), "goal": Unicode(), "goal_object": gym.spaces.Sequence(AnyDict()), "open_pages_urls": gym.spaces.Sequence(Unicode()), "open_pages_titles": gym.spaces.Sequence(Unicode()), "active_page_index": gym.spaces.Box(low=0, high=255, dtype=int), "url": Unicode(), "screenshot": AnyBox( low=0, high=255, shape=(-1, -1, 3), dtype=np.uint8, ), # swapped axes (height, width, RGB) "dom_object": AnyDict(), "nocodeui_pu": AnyDict(), "axtree_object": AnyDict(), "extra_element_properties": AnyDict(), "focused_element_bid": Unicode(), "last_action": Unicode(), "last_action_error": Unicode(), "elapsed_time": gym.spaces.Box(low=0, high=np.inf, dtype=float), } ) # action space self.action_space = Unicode() def close(self): if self.task: # stop the task self.task.teardown() # close the chat self.chat.close() # close the browser context self.context.close() # close the browser self.browser.close() self.task = None def reset(self, seed=None, *args, **kwargs): super().reset(seed=seed, *args, **kwargs) self.np_random = None # make sure all randomness is handled by the task if self.task: self.task.teardown() self.context.close() self.chat.close() self.browser.close() # create a new task self.task = self.task_entrypoint(seed=seed, **self.task_kwargs) def override_property(task, env, property): """Extract property value from env if not None, otherwise from task.""" env_value = getattr(env, property) task_value = getattr(task, property) if env_value is None: return task_value else: if task_value is not None: logger.warning( f"Overriding the task's {property} parameter ({repr(task_value)} => {repr(env_value)}). This might change the task's behaviour and difficulty." ) return env_value # fetch task's desired parameters for browser setup viewport = override_property(self.task, self, "viewport") slow_mo = override_property(self.task, self, "slow_mo") timeout = override_property(self.task, self, "timeout") locale = override_property(self.task, self, "locale") timezone_id = override_property(self.task, self, "timezone_id") # use the global Playwright instance pw: playwright.sync_api.Playwright = _get_global_playwright() # important: change playwright's test id attribute from "data-testid" to "bid" pw.selectors.set_test_id_attribute(BROWSERGYM_ID_ATTRIBUTE) current_args = ( [f"--window-size={viewport['width']},{viewport['height']}"] if self.resizeable_window else None ) if len(self.pw_extra_args) > 0 and current_args: current_args.extend(self.pw_extra_args) else: current_args = self.pw_extra_args if len(self.pw_extra_args) > 0 else None # create a new browser # self.browser = pw.chromium.launch( # headless=self.headless, # slow_mo=slow_mo, # args=( # current_args # ), # # will raise an Exception if above args are overriden # **self.pw_chromium_kwargs, # ) # create a new browser context for pages self.context = pw.chromium.launch_persistent_context( "", no_viewport=True if self.resizeable_window else None, headless=self.headless, slow_mo=slow_mo, args=(current_args), viewport=viewport, record_video_dir=(Path(self.record_video_dir) / "task_video" if self.record_video_dir else None), record_video_size=viewport, locale=locale, timezone_id=timezone_id, # will raise an Exception if above args are overriden **self.pw_chromium_kwargs, **self.pw_context_kwargs, ) self.browser = self.context # set default timeout self.context.set_default_timeout(timeout) self.context.tracing.start(screenshots=True, snapshots=True) # hack: keep track of the active page with a javascript callback # there is no concept of active page in playwright # https://github.com/microsoft/playwright/issues/2603 self.context.expose_binding( "browsergym_page_activated", lambda source: self._activate_page_from_js(source["page"]) ) self.context.add_init_script( r""" window.browsergym_page_activated(); window.addEventListener("focus", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("focusin", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("load", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("pageshow", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("mousemove", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("mouseup", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("mousedown", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("wheel", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("keyup", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("keydown", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("input", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("touchstart", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("touchend", () => {window.browsergym_page_activated();}, {capture: true}); document.addEventListener("visibilitychange", () => { if (document.visibilityState === "visible") { window.browsergym_page_activated(); } }, {capture: true}); """ ) # create the chat self.chat = Chat( headless=self.headless, chat_size=(500, max(viewport["height"], 800)), record_video_dir=self.record_video_dir, ) # create a new page self.page = self.context.pages[0] recording_start_time = time.time() # setup the task task_goal, task_info = self.task.setup(page=self.page) # process the task goal # no goal specified if task_goal is None: self.goal_object = [] # convert text-only goal (legacy) to new format elif isinstance(task_goal, str): self.goal_object = [{"type": "text", "text": task_goal}] # new format goal with multiple texts and images (OpenAI style) elif isinstance(task_goal, list): self.goal_object = task_goal else: raise ValueError(f"task_goal should be of type str or list, got {task_goal.__class__}") # initialize the chat self.chat.add_message( role="assistant", msg="Hi! I am your UI assistant, I can perform web tasks for you. What can I help you with?", ) # send task goal (if any) to the chat for message in self.goal_object: match message["type"]: case "text": self.chat.add_message(role="user", msg=message["text"]) case "image_url": image_src = message["image_url"] if isinstance(image_src, dict): image_src = image_src["url"] self.chat.add_message(role="user_image", msg=image_src) case _: raise ValueError(f"Unknown message type {repr(message['type'])} in the task goal.") self._wait_dom_loaded() # after the task's setup, the active page might have changed # perform a safety check self._active_page_check() # init start time self.start_time = time.time() # no action yet self.last_action = "" self.last_action_error = "" self.infeasible_message_received = False # if asked, wait for user message self._wait_for_user_message() # extract obs and info from environment obs = self._get_obs() info = {} info["task_info"] = task_info if self.record_video_dir: info["recording_start_time"] = recording_start_time info["recording_file"] = str(self.page.video.path()) info["chat"] = { "recording_start_time": self.chat.recording_start_time, "recording_file": str(self.chat.page.video.path()), } return obs, info def step(self, action: str) -> tuple: self.last_action = action info = {} info["action_exec_start"] = time.time() info["action_exec_timeout"] = 0 def send_message_to_user(text: str): if not isinstance(text, str): raise ValueError(f"Forbidden value: {text} is not a string") self.chat.add_message(role="assistant", msg=text) def report_infeasible_instructions(reason: str): if not isinstance(reason, str): raise ValueError(f"Forbidden value: {reason} is not a string") self.chat.add_message(role="infeasible", msg=reason) self.infeasible_message_received = True # try to execute the action # logger.debug(f"Executing action") # try: # if self.action_mapping: # code = self.action_mapping(action) # else: # code = action # execute_python_code( # code, # self.page, # send_message_to_user=send_message_to_user, # report_infeasible_instructions=report_infeasible_instructions, # ) # self.last_action_error = "" # except Exception as e: # self.last_action_error = f"{type(e).__name__}: {e}" # match = re.match("TimeoutError: Timeout ([0-9]+)ms exceeded.", self.last_action_error) # if match: # info["action_exec_timeout"] = float(match.groups()[0]) / 1000 # ms to sec # logger.debug(f"Action executed") # info["action_exec_stop"] = time.time() # wait a bit (for the JavaScript callback to set the active page) time.sleep(0.5) # wait for JS events to be fired (half a second) self.context.cookies() # trigger all waiting Playwright callbacks on the stack (hack, see https://playwright.dev/java/docs/multithreading) # wait for the network to idle before extracting the observation, reward etc. self._wait_dom_loaded() # after the action is executed, the active page might have changed # perform a safety check self._active_page_check() logger.debug("Active page checked") # if asked, wait for user message self._wait_for_user_message() logger.debug("User message done") logger.debug("Initiating task validation") # extract reward, done, user_message, info (task-specific) reward, done, user_message, task_info = self._task_validate() info["task_info"] = task_info logger.debug("Task validation done") # add any user message sent by the task to the chat if user_message: self.chat.add_message(role="user", msg=user_message) # extract observation (generic) obs = self._get_obs() logger.debug("Observation extracted") # new step API wants a 5-tuple (gymnasium) terminated = done or ( self.terminate_on_infeasible and self.infeasible_message_received ) # task or agent can terminate the episode truncated = False return obs, reward, terminated, truncated, info def _task_validate(self): # back-up these in case validate() navigates pages and messes the history prev_active_page = self.page prev_page_history = self.page_history.copy() # call validate reward, done, user_message, info = self.task.validate(self.page, self.chat.messages) # safety fix, in case validate() did mess up the active page and/or page history if prev_active_page != self.page or prev_page_history != self.page_history: logger.info( "The active page and / or page history has changed during task.validate(). A recovery fix will be applied." ) self.page = prev_active_page self.page_history = prev_page_history return reward, done, user_message, info def _wait_for_user_message(self): # if last message is from the assistant, wait for a user message to continue if self.chat.messages[-1]["role"] == "assistant" and self.wait_for_user_message: self.chat.wait_for_user_message() def _wait_dom_loaded(self): for page in self.context.pages: try: page.wait_for_load_state("domcontentloaded", timeout=3000) except playwright.sync_api.Error: pass for frame in page.frames: try: frame.wait_for_load_state("domcontentloaded", timeout=3000) except playwright.sync_api.Error: pass def _activate_page_from_js(self, page: playwright.sync_api.Page): logger.debug(f"_activate_page_from_js(page) called, page={str(page)}") if not page.context == self.context: raise RuntimeError( f"Unexpected: activating a page that belongs to a different browser context ({page})." ) # add the activated page to the page history (or move it to last which is the most recent) if page in self.page_history: self.page_history[page] = self.page_history.pop(page) # move page to the end of dictionnary else: self.page_history[page] = None # add page to the end of dictionnary self.page = page def _active_page_check(self): # make sure there is always a page open # if all pages have been closed, create a new page if len(self.context.pages) == 0: logger.warning("All pages are closed, opening a new page.") self.page = self.context.new_page() # if the active page got closed, get the last active page from the history while self.page_history and (self.page.is_closed() or self.page not in self.context.pages): self.page_history.pop(self.page) # remove active page from history self.page = list(self.page_history.keys())[ -1 ] # set last active page as the active page (most recent) # active page should share the same browser context with the environment if self.page not in self.context.pages: raise RuntimeError( f"Unexpected: active page is not part of the browser context's open pages ({self.page})." ) # active page should not be closed if self.page.is_closed(): raise RuntimeError(f"Unexpected: active page has been closed ({self.page}).") def _get_obs(self): for retries_left in reversed(range(EXTRACT_OBS_MAX_TRIES)): try: # pre-extraction, mark dom elements (set bid, set dynamic attributes like value and checked) _pre_extract(self.page, tags_to_mark=self.tags_to_mark, lenient=(retries_left == 0)) dom = extract_dom_snapshot(self.page) axtree = extract_merged_axtree(self.page) focused_element_bid = extract_focused_element_bid(self.page) extra_properties = extract_dom_extra_properties(dom) except (playwright.sync_api.Error, MarkingError) as e: err_msg = str(e) # try to add robustness to async events (detached / deleted frames) if retries_left > 0 and ( "Frame was detached" in err_msg or "Frame with the given frameId is not found" in err_msg or "Execution context was destroyed" in err_msg or "Frame has been detached" in err_msg or "Cannot mark a child frame without a bid" in err_msg ): logger.warning( f"An error occured while extracting the dom and axtree. Retrying ({retries_left}/{EXTRACT_OBS_MAX_TRIES} tries left).\n{repr(e)}" ) # post-extract cleanup (ARIA attributes) _post_extract(self.page) time.sleep(0.5) continue else: raise e break # post-extraction cleanup of temporary info in dom _post_extract(self.page) # obs is generic to all tasks obs = { "chat_messages": copy.deepcopy(self.chat.messages), "goal": _try_to_extract_legacy_goal(self.goal_object), # legacy goal, deprecated "goal_object": self.goal_object, # new goal format, list of messages openai style "open_pages_urls": [page.url for page in self.context.pages], "open_pages_titles": [page.title() for page in self.context.pages], "active_page_index": np.asarray([self.context.pages.index(self.page)]), "url": self.page.url, # redundant with "open_pages_urls" and "active_page_index" "screenshot": extract_screenshot(self.page), "dom_object": dom, "nocodeui_pu": analyze_current_page_sync(self.context) if self.enable_nocodeui_pu else None, "axtree_object": axtree, "extra_element_properties": extra_properties, "focused_element_bid": focused_element_bid, "last_action": self.last_action, "last_action_error": self.last_action_error, "elapsed_time": np.asarray([time.time() - self.start_time]), } return obs ================================================ FILE: src/cuga/backend/browser_env/browser/gym_env_async.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import asyncio import logging import re import time from abc import ABC from pathlib import Path from typing import Any, List, Literal, Optional import gymnasium as gym import numpy as np # from browsergym.core.action.base import execute_python_code_async # Assume async version from browsergym.core.action.highlevel import HighLevelActionSet from browsergym.core.constants import BROWSERGYM_ID_ATTRIBUTE from browsergym.core.spaces import AnyBox, AnyDict, Unicode from langchain_core.messages import AIMessage from playwright.async_api import Browser, BrowserContext from playwright.async_api import Error as PlaywrightError from playwright.async_api import Page, Playwright from cuga.backend.browser_env.browser.chat_async import Chat from cuga.backend.browser_env.browser.gym_obs.obs_async import ( _post_extract, extract_screenshot, ) from cuga.backend.browser_env.browser.open_ended_async import AbstractBrowserTask from cuga.backend.browser_env.browser.utils_async import _get_global_playwright_async from cuga.backend.browser_env.page_understanding.pu_extractor import PageUnderstandingExtractor from cuga.backend.browser_env.page_understanding.pu_processor import PageUnderstandingProcessor from cuga.backend.browser_env.tools.providers import BrowserToolImplProvider, PlaywrightToolImplProvider logger = logging.getLogger(__name__) def _try_to_extract_legacy_goal(goal: list): legacy_goal_strings = [] for message in goal: if message["type"] == "text": legacy_goal_strings.append(message["text"]) else: logger.debug( f"Message type {repr(message['type'])} present in the goal, cannot be converted to legacy text-only format." ) legacy_goal_strings.append( 'WARNING: This goal cannot be converted to a text-only goal format. Use the new goal format instead ("goal_object" field). Any agent reading this should abort immediately.' ) break legacy_goal = "\n".join(legacy_goal_strings) return legacy_goal class BrowserEnvGymAsync(gym.Env, ABC): """The main BrowserGym class, which encapsulates instruction-following Web browsing into a Gymnasium environment.""" # gym metadata metadata = {"render_modes": None} def __init__( self, # task-related arguments task_entrypoint: type[AbstractBrowserTask], task_kwargs: dict = {}, feedback: List[Any] = [], enable_playwright_tracing: Optional[bool] = False, user_data_dir: Optional[str] = None, viewport: Optional[dict] = None, # will override the task's viewport slow_mo: Optional[int] = None, # will override the task's slow_mo timeout: Optional[int] = None, # will override the task's timeout locale: Optional[str] = None, # will override the task's locale timezone_id: Optional[str] = None, # will override the task's timezone_id tags_to_mark: Literal["all", "standard_html"] = "standard_html", interface_mode: Literal["chat_only", "browser_only", "both", "none"] = "both", messages: List[AIMessage] = None, channel: Optional[str] = None, # interactive / debugging arguments headless: bool = True, wait_for_user_message: bool = False, terminate_on_infeasible: bool = True, resizeable_window: bool = False, record_video_dir: Optional[str] = None, pw_chromium_kwargs: dict = {}, pw_context_kwargs: dict = {}, enable_nocodeui_pu: bool = False, pw_extra_args: list = [], # agent-related arguments action_mapping: Optional[callable] = HighLevelActionSet().to_python_code, tool_implementation_provider: BrowserToolImplProvider | None = None, ): """ Instantiate a ready to use BrowserEnv gym environment. Args: task_entrypoint: a callable that returns a new task object from a seed. Used for creating a new task during `reset()`. task_kwargs: additional arguments passed to `task_entrypoint`. viewport: desired viewport size. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. slow_mo: desired slow_mo value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. timeout: desired timeout value for Playwright. This will override the value defined by the task, which might change its behaviour and difficulty. Should only be set for debugging/testing. locale: desired user locale for Playwright, for example en-GB, de-DE, etc. This will override the value defined by the task, which might change its behaviour and difficulty. timezone_id. desired timezone for Playwright, for example "Pacific/Tahiti". This will override the value defined by the task, which might change its behaviour and difficulty. tags_to_mark: which HTML tags should be marked by BrowserGym and receive a bid. Value "all" will mark every element in the page, while "standard_html" (default) will only mark standard html tags. interface_mode: which interface to enable - "chat_only", "browser_only", or "both". headless: whether the browser should run in headless mode or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Headless mode should only be disabled for debugging/testing. wait_for_user_message: whether the environment should pause and wait for a user message in the chat after a new message is sent by the agent. Useful for running agents in interactive mode. resizeable_window: whether the browser window should be resizeable or not. This will affect the viewport size, which might change the behaviour and difficulty of the task. Should only be set for debugging/testing. record_video_dir: if set, indicates a directory to which viewport videos will be recorded. pw_chromium_kwargs: extra parameters for the playwright Browser. Should only be used for debugging/testing. pw_context_kwargs: extra parameters for the playwright BrowserContext. Should only be used for debugging/testing. action_mapping: if set, the environment will use this function to map every received action to executable Python code. """ super().__init__() self.tool_implementation_provider = tool_implementation_provider or PlaywrightToolImplProvider() self.task_entrypoint = task_entrypoint self.user_data_dir = user_data_dir self.task_kwargs = dict(**task_kwargs) self.interface_mode = interface_mode self.enable_chat = interface_mode in ["chat_only", "both"] self.enable_browser = interface_mode in ["browser_only", "both"] self.messages = messages if messages else [] self.viewport = viewport self.pu_processor = None self.slow_mo = slow_mo self.channel = channel self.timeout = timeout self.locale = locale self.enable_playwright_tracing = enable_playwright_tracing self.timezone_id = timezone_id self.tags_to_mark = tags_to_mark self.headless = headless self.wait_for_user_message = wait_for_user_message self.terminate_on_infeasible = terminate_on_infeasible self.resizeable_window = resizeable_window self.record_video_dir = record_video_dir self.pw_chromium_kwargs = pw_chromium_kwargs self.pw_context_kwargs = pw_context_kwargs self.action_mapping = action_mapping self.feedback = feedback # check argument values assert tags_to_mark in ("all", "standard_html") assert interface_mode in ("chat_only", "browser_only", "both", "none") self.enable_nocodeui_pu = enable_nocodeui_pu self.pw_extra_args = pw_extra_args # task self.task = None # playwright self.playwright: Playwright = None self.browser: Browser = None self.context: BrowserContext = None self.page: Page = None self.page_history: dict = {} # chat self.chat: Chat = None # observation space self.observation_space = gym.spaces.Dict( { "chat_messages": gym.spaces.Sequence( gym.spaces.Dict( { "role": Unicode(), "message": Unicode(), } ) ), "goal": Unicode(), "goal_object": gym.spaces.Sequence(AnyDict()), "open_pages_urls": gym.spaces.Sequence(Unicode()), "open_pages_titles": gym.spaces.Sequence(Unicode()), "active_page_index": gym.spaces.Box(low=0, high=255, dtype=int), "url": Unicode(), "screenshot": AnyBox( low=0, high=255, shape=(-1, -1, 3), dtype=np.uint8, ), # swapped axes (height, width, RGB) "dom_object": AnyDict(), "nocodeui_pu": AnyDict(), "axtree_object": AnyDict(), "extra_element_properties": AnyDict(), "focused_element_bid": Unicode(), "last_action": Unicode(), "last_action_error": Unicode(), "elapsed_time": gym.spaces.Box(low=0, high=np.inf, dtype=float), } ) # action space self.action_space = Unicode() async def get_title(self) -> str | None: return await self.page.title() async def close(self): if self.task: # stop the task await self.task.teardown() # close the chat if self.enable_chat and self.chat: await self.chat.close() # close the browser context if self.enable_browser and self.context: await self.context.close() # close the browser if self.enable_browser and self.browser: await self.browser.close() self.task = None # if self.playwright: # await self.playwright.stop() async def reset(self, seed=None, **kwargs): super().reset(seed=seed, **kwargs) self.np_random = None # make sure all randomness is handled by the task if self.task: await self.task.teardown() if self.enable_browser and self.context: await self.context.close() if self.enable_chat and self.chat: await self.chat.close() if self.enable_browser and self.browser: await self.browser.close() # create a new task self.task = self.task_entrypoint(seed=seed, **self.task_kwargs) def override_property(task, env, property): """Extract property value from env if not None, otherwise from task.""" env_value = getattr(env, property) task_value = getattr(task, property) if env_value is None: return task_value else: if task_value is not None: logger.warning( f"Overriding the task's {property} parameter ({repr(task_value)} => {repr(env_value)}). This might change the task's behaviour and difficulty." ) return env_value # fetch task's desired parameters for browser setup viewport = override_property(self.task, self, "viewport") slow_mo = override_property(self.task, self, "slow_mo") timeout = override_property(self.task, self, "timeout") locale = override_property(self.task, self, "locale") timezone_id = override_property(self.task, self, "timezone_id") # use the global Playwright instance self.playwright = await _get_global_playwright_async() # important: change playwright's test id attribute from "data-testid" to "bid" self.playwright.selectors.set_test_id_attribute(BROWSERGYM_ID_ATTRIBUTE) # Only set up browser if it's enabled if self.enable_browser: # create a new browser context for pages current_args = ( [f"--window-size={viewport['width']},{viewport['height']}"] if self.resizeable_window else None ) if len(self.pw_extra_args) > 0 and current_args: current_args.extend(self.pw_extra_args) else: current_args = self.pw_extra_args if len(self.pw_extra_args) > 0 else None # create a new browser context for pages self.context = await self.playwright.chromium.launch_persistent_context( self.user_data_dir if self.user_data_dir else "", channel=self.channel, no_viewport=True if self.resizeable_window else None, headless=self.headless, slow_mo=slow_mo, args=(current_args), # viewport=viewport, record_video_dir=( Path(self.record_video_dir) / "task_video" if self.record_video_dir else None ), record_video_size=viewport, locale=locale, timezone_id=timezone_id, # will raise an Exception if above args are overriden **self.pw_chromium_kwargs, **self.pw_context_kwargs, ) if self.enable_playwright_tracing: await self.context.tracing.start(screenshots=True, snapshots=True) self.browser = self.context # set default timeout self.context.set_default_timeout(timeout) # hack: keep track of the active page with a javascript callback # there is no concept of active page in playwright # https://github.com/microsoft/playwright/issues/2603 await self.context.expose_binding( "browsergym_page_activated", lambda source: asyncio.create_task(self._activate_page_from_js(source["page"])), ) await self.context.add_init_script( """ window.browsergym_page_activated(); window.addEventListener("focus", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("focusin", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("load", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("pageshow", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("mousemove", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("mouseup", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("mousedown", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("wheel", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("keyup", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("keydown", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("input", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("touchstart", () => {window.browsergym_page_activated();}, {capture: true}); window.addEventListener("touchend", () => {window.browsergym_page_activated();}, {capture: true}); document.addEventListener("visibilitychange", () => { if (document.visibilityState === "visible") { window.browsergym_page_activated(); } }, {capture: true}); window.__last_alert = null; window.alert = (message) => { window.__last_alert = message; // Optionally, log the intercepted alert message console.log("Intercepted alert: " + message); }; """ ) # create a new page self.page = self.context.pages[0] recording_start_time = time.time() # create the chat if it's enabled if self.enable_chat: self.chat = Chat( headless=self.headless, chat_size=(500, max(viewport["height"] if viewport else 800, 800)), record_video_dir=self.record_video_dir, ) await self.chat.init() # setup the task - if browser-only mode, we might need to adjust this # based on your task architecture if self.enable_browser: task_goal, task_info = await self.task.setup(page=self.page) else: # In chat-only mode, we might need a special setup path # This depends on your task implementation task_goal, task_info = await self.task.setup(page=None) # process the task goal # no goal specified if task_goal is None: self.goal_object = [] # convert text-only goal (legacy) to new format elif isinstance(task_goal, str): self.goal_object = [{"type": "text", "text": task_goal}] # new format goal with multiple texts and images (OpenAI style) elif isinstance(task_goal, list): self.goal_object = task_goal else: raise ValueError(f"task_goal should be of type str or list, got {task_goal.__class__}") # initialize the chat if enabled if self.enable_chat: await self.chat.add_message( role="assistant", msg="Hi! I am your UI assistant, I can perform web tasks for you. What can I help you with?", ) # send task goal (if any) to the chat for message in self.goal_object: match message["type"]: case "text": await self.chat.add_message(role="user", msg=message["text"]) case "image_url": image_src = message["image_url"] if isinstance(image_src, dict): image_src = image_src["url"] await self.chat.add_message(role="user_image", msg=image_src) case _: raise ValueError(f"Unknown message type {repr(message['type'])} in the task goal.") # Wait for DOM to load if browser is enabled if self.enable_browser: await self._wait_dom_loaded() # after the task's setup, the active page might have changed # perform a safety check await self._active_page_check() # init start time self.start_time = time.time() # no action yet self.last_action = "" self.last_action_error = "" self.infeasible_message_received = False # if asked, wait for user message (if chat is enabled) if self.enable_chat: await self._wait_for_user_message() # extract obs and info from environment if self.enable_browser: self.pu_processor = PageUnderstandingProcessor( PageUnderstandingExtractor(tags_to_mark=self.tags_to_mark) ) obs = await self._get_obs() info = {} info["task_info"] = task_info # Video recording info if enabled if self.record_video_dir: info["recording_start_time"] = recording_start_time if self.enable_browser and self.page and self.page.video: info["recording_file"] = str(await self.page.video.path()) if self.enable_chat and self.chat: info["chat"] = { "recording_start_time": self.chat.recording_start_time, "recording_file": str(await self.chat.page.video.path()), } return obs, info async def step(self, action: str) -> tuple: self.last_action = action info = {} info["action_exec_start"] = time.time() info["action_exec_timeout"] = 0 async def send_message_to_user(text: str): if not isinstance(text, str): raise ValueError(f"Forbidden value: {text} is not a string") if self.enable_chat: await self.chat.add_message(role="assistant", msg=text) async def report_infeasible_instructions(reason: str): if not isinstance(reason, str): raise ValueError(f"Forbidden value: {reason} is not a string") if self.enable_chat: await self.chat.add_message(role="infeasible", msg=reason) self.infeasible_message_received = True # try to execute the action if browser is enabled logger.debug("Executing action") try: if self.enable_browser: # Placeholder for action execution code: # if self.action_mapping: # code = self.action_mapping(action) # else: # code = action # await execute_python_code_async( # code, # self.page, # send_message_to_user=send_message_to_user, # report_infeasible_instructions=report_infeasible_instructions, # ) pass self.last_action_error = "" except Exception as e: self.last_action_error = f"{type(e).__name__}: {e}" match = re.match(r"TimeoutError: Timeout ([0-9]+)ms exceeded.", self.last_action_error) if match: info["action_exec_timeout"] = float(match.groups()[0]) / 1000 # ms to sec logger.debug("Action executed") info["action_exec_stop"] = time.time() if self.enable_browser: # wait a bit (for the JavaScript callback to set the active page) await asyncio.sleep(0.5) # wait for JS events to be fired (half a second) await self.context.cookies() # trigger all waiting Playwright callbacks on the stack (hack) # wait for the network to idle before extracting the observation, reward etc. await self._wait_dom_loaded() # after the action is executed, the active page might have changed # perform a safety check await self._active_page_check() logger.debug("Active page checked") # if asked, wait for user message (if chat is enabled) if self.enable_chat: await self._wait_for_user_message() logger.debug("User message done") logger.debug("Initiating task validation") # extract reward, done, user_message, info (task-specific) reward, done, user_message, task_info = await self._task_validate() info["task_info"] = task_info logger.debug("Task validation done") # add any user message sent by the task to the chat if user_message and self.enable_chat: await self.chat.add_message(role="user", msg=user_message) # extract observation (generic) obs = await self._get_obs() logger.debug("Observation extracted") # new step API wants a 5-tuple (gymnasium) terminated = done or ( self.terminate_on_infeasible and self.infeasible_message_received ) # task or agent can terminate the episode truncated = False return obs, reward, terminated, truncated, info async def _task_validate(self): # back-up these in case validate() navigates pages and messes the history if self.enable_browser: prev_active_page = self.page prev_page_history = self.page_history.copy() # call validate if self.enable_browser: reward, done, user_message, info = await self.task.validate(self.page, self.messages) else: # In chat-only mode, we might need a special validation path reward, done, user_message, info = await self.task.validate(None, self.messages) # safety fix, in case validate() did mess up the active page and/or page history if self.enable_browser and (prev_active_page != self.page or prev_page_history != self.page_history): logger.info( "The active page and / or page history has changed during task.validate(). A recovery fix will be applied." ) self.page = prev_active_page self.page_history = prev_page_history return reward, done, user_message, info async def _wait_for_user_message(self): # if last message is from the assistant, wait for a user message to continue if self.enable_chat: if self.chat.messages[-1]["role"] == "assistant" and self.wait_for_user_message: await self.chat.wait_for_user_message() async def _wait_dom_loaded(self): if not self.enable_browser: return for page in self.context.pages: try: await page.wait_for_load_state("domcontentloaded", timeout=15000) except PlaywrightError: pass for frame in page.frames: try: await frame.wait_for_load_state("domcontentloaded", timeout=15000) except PlaywrightError: pass async def _activate_page_from_js(self, page: Page): if not self.enable_browser: return logger.debug(f"_activate_page_from_js(page) called, page={str(page)}") if not page.context == self.context: raise RuntimeError( f"Unexpected: activating a page that belongs to a different browser context ({page})." ) # add the activated page to the page history (or move it to last which is the most recent) if page in self.page_history: self.page_history[page] = self.page_history.pop(page) # move page to the end of dictionary else: self.page_history[page] = None # add page to the end of dictionary self.page = page async def _active_page_check(self): if not self.enable_browser: return # make sure there is always a page open # if all pages have been closed, create a new page if len(self.context.pages) == 0: logger.warning("All pages are closed, opening a new page.") self.page = await self.context.new_page() # if the active page got closed, get the last active page from the history while self.page_history and (self.page.is_closed() or self.page not in self.context.pages): self.page_history.pop(self.page) # remove active page from history if self.page_history: self.page = list(self.page_history.keys())[-1] # set last active page as the active page else: self.page = await self.context.new_page() # active page should share the same browser context with the environment if self.page not in self.context.pages: raise RuntimeError( f"Unexpected: active page is not part of the browser context's open pages ({self.page})." ) # active page should not be closed if self.page.is_closed(): raise RuntimeError(f"Unexpected: active page has been closed ({self.page}).") def get_url(self) -> str | None: if self.page: return getattr(self.page, "url", None) return None async def send_chat_message(self, role: str, content: str): await self.chat.add_message(role, content) async def _get_obs(self): # for retries_left in reversed(range(EXTRACT_OBS_MAX_TRIES)): # try: # # pre-extraction, mark dom elements (set bid, set dynamic attributes like value and checked) # await _pre_extract(self.page, tags_to_mark=self.tags_to_mark, lenient=(retries_left == 0)) # # dom = await extract_dom_snapshot(self.page) # axtree = await extract_merged_axtree(self.page) # focused_element_bid = await extract_focused_element_bid(self.page) # extra_properties = extract_dom_extra_properties(dom) # except (PlaywrightError, MarkingError) as e: # err_msg = str(e) # # try to add robustness to async events (detached / deleted frames) # if retries_left > 0 and ( # "Frame was detached" in err_msg # or "Frame with the given frameId is not found" in err_msg # or "Execution context was destroyed" in err_msg # or "Frame has been detached" in err_msg # or "Cannot mark a child frame without a bid" in err_msg # ): # logger.warning( # f"An error occurred while extracting the dom and axtree. Retrying ({retries_left}/{EXTRACT_OBS_MAX_TRIES} tries left).\n{repr(e)}" # ) # # post-extract cleanup (ARIA attributes) # await _post_extract(self.page) # await asyncio.sleep(0.5) # continue # else: # raise e # break # Initialize default values for browser-dependent fields screenshot = None pu_output = None url = "" open_pages_urls = [] open_pages_titles = [] active_page_index = np.asarray([0]) dom_object = {} axtree_object = {} extra_properties = {} focused_element_bid = "" if self.enable_browser: # post-extraction cleanup of temporary info in dom await _post_extract(self.page) # Get browser-specific information screenshot = await extract_screenshot(self.page) pu_output = await self.pu_processor.extract(page=self.page, context=self.context) url = self.page.url open_pages_urls = [page.url for page in self.context.pages] open_pages_titles = [await page.title() for page in self.context.pages] active_page_index = np.asarray([self.context.pages.index(self.page)]) # Extract pu_output fields dom_object = pu_output.dom_object axtree_object = pu_output.accessibility_tree extra_properties = pu_output.extra_properties focused_element_bid = pu_output.focused_element_bid nocodeui_pu = pu_output.nocodeui_pu else: nocodeui_pu = {} # obs is generic to all tasks obs = { "chat_messages": [], # Populate if needed "goal": _try_to_extract_legacy_goal(self.goal_object), # legacy goal, deprecated "goal_object": self.goal_object, # new goal format, list of messages openai style "open_pages_urls": open_pages_urls, "open_pages_titles": open_pages_titles, "active_page_index": active_page_index, "url": url, # redundant with "open_pages_urls" and "active_page_index" "nocodeui_pu": nocodeui_pu, "screenshot": screenshot, "dom_object": dom_object, "axtree_object": axtree_object, "extra_element_properties": extra_properties, "focused_element_bid": focused_element_bid, "last_action": self.last_action, "last_action_error": self.last_action_error, "elapsed_time": np.asarray([time.time() - self.start_time]), } return obs ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/extract_chrome_extension.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import asyncio import logging import re from typing import Any, Dict, List, Literal from loguru import logger from cuga.backend.browser_env.browser.gym_obs.http_stream_comm import ( ChromeExtensionCommunicatorHTTP, ChromeExtensionCommunicatorProtocol, ) __BID_EXPR = r"([a-zA-Z0-9]+)" __DATA_REGEXP = re.compile(r"^browsergym_id_" + __BID_EXPR + r"\s?" + r"(.*)") # Constants that match the original implementation BROWSERGYM_ID_ATTRIBUTE = "data-browsergym-id" BROWSERGYM_SETOFMARKS_ATTRIBUTE = "data-browsergym-setofmarks" BROWSERGYM_VISIBILITY_ATTRIBUTE = "data-browsergym-visibility" class ChromeExtensionError(Exception): """Exception raised when Chrome extension communication fails""" pass class MarkingError(Exception): """Exception raised when DOM marking fails""" pass # Use the WebSocket server-based communicator ChromeExtensionCommunicator = ChromeExtensionCommunicatorHTTP class ChromeExtensionExtractor: """Chrome extension-based page information extractor""" def __init__( self, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False ): self.tags_to_mark = tags_to_mark self.lenient = lenient self.communicator = ChromeExtensionCommunicator() async def __aenter__(self): await self.communicator.__aenter__() # Wait for Chrome extension to connect await self.communicator.wait_for_connection(timeout=10.0) return self async def __aexit__(self, exc_type, exc_val, exc_tb): await self.communicator.__aexit__(exc_type, exc_val, exc_tb) async def _pre_extract_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False, ) -> None: """ Pre-extraction routine that marks DOM elements via Chrome extension """ try: warnings = await communicator.mark_elements(tags_to_mark=tags_to_mark) # Log any warning messages for msg in warnings: logger.warning(msg) except Exception as e: if not lenient: raise MarkingError(f"Pre-extraction failed: {str(e)}") else: logger.warning(f"Pre-extraction failed (lenient mode): {str(e)}") async def _post_extract_chrome_extension(communicator: ChromeExtensionCommunicatorProtocol) -> None: """ Post-extraction cleanup routine via Chrome extension """ try: # await communicator.unmark_elements() logger.debug("Post-extraction cleanup completed successfully") except Exception as e: logger.warning(f"Post-extraction cleanup failed: {str(e)}") async def extract_dom_snapshot_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, computed_styles: List[str] = None, include_dom_rects: bool = True, include_paint_order: bool = True, temp_data_cleanup: bool = True, ) -> Dict[str, Any]: """ Extract DOM snapshot via Chrome extension """ if computed_styles is None: computed_styles = [] try: return await communicator.extract_dom_snapshot( computed_styles=computed_styles, include_dom_rects=include_dom_rects, include_paint_order=include_paint_order, temp_data_cleanup=temp_data_cleanup, ) except Exception as e: raise ChromeExtensionError(f"Failed to extract DOM snapshot: {str(e)}") async def extract_accessibility_tree_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, ) -> Dict[str, Any]: """ Extract accessibility tree via Chrome extension """ try: return await communicator.extract_accessibility_tree() except Exception as e: raise ChromeExtensionError(f"Failed to extract accessibility tree: {str(e)}") async def extract_dom_tree_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, do_highlight_elements: bool = True, focus_highlight_index: int = -1, viewport_expansion: int = 0, debug_mode: bool = False, ) -> Dict[str, Any]: """ Extract DOM tree with interactive element analysis via Chrome extension """ try: return await communicator.extract_dom_tree( do_highlight_elements=do_highlight_elements, focus_highlight_index=focus_highlight_index, viewport_expansion=viewport_expansion, debug_mode=debug_mode, ) except Exception as e: raise ChromeExtensionError(f"Failed to extract DOM tree: {str(e)}") async def extract_screenshot_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, format: str = "png", quality: int = 100 ) -> str: """ Extract screenshot via Chrome extension """ try: return await communicator.extract_screenshot(format=format, quality=quality) except Exception as e: raise ChromeExtensionError(f"Failed to extract screenshot: {str(e)}") async def extract_focused_element_bid_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, ) -> str: """ Extract focused element's browsergym ID via Chrome extension """ try: return await communicator.extract_focused_element_bid() except Exception as e: logger.warning(f"Failed to extract focused element BID: {str(e)}") return "" async def extract_page_content_chrome_extension(communicator: ChromeExtensionCommunicatorProtocol) -> str: """ Extract page content as text via Chrome extension """ try: return await communicator.extract_page_content(as_text=False) except Exception as e: raise ChromeExtensionError(f"Failed to extract page content: {str(e)}") async def extract_page_url_chrome_extension(communicator: ChromeExtensionCommunicatorProtocol) -> str: """Get active tab URL via Chrome extension""" try: return await communicator.get_active_tab_url() except Exception as e: raise ChromeExtensionError(f"Failed to extract page URL: {str(e)}") async def extract_page_title_chrome_extension(communicator: ChromeExtensionCommunicatorProtocol) -> str: """Get active tab title via Chrome extension""" try: return await communicator.get_active_tab_title() except Exception as e: raise ChromeExtensionError(f"Failed to extract page title: {str(e)}") def extract_data_items_from_aria(string: str, log_level: int = logging.NOTSET) -> tuple[List[str], str]: """ Utility function to extract temporary data stored in ARIA attributes """ match = __DATA_REGEXP.fullmatch(string) if not match: logger.log( log_level, f"Failed to extract BrowserGym data from ARIA string: {repr(string)}", ) return [], string groups = match.groups() data_items = groups[:-1] original_aria = groups[-1] return list(data_items), original_aria def extract_dom_extra_properties_chrome_extension(dom_snapshot: Dict[str, Any]) -> Dict[str, Any]: """ Extract extra properties from DOM snapshot (adapted from original implementation) """ def to_string(idx): if idx == -1: return None else: return dom_snapshot["strings"][idx] # Pre-locate important string ids try: bid_string_id = dom_snapshot["strings"].index(BROWSERGYM_ID_ATTRIBUTE) except ValueError: bid_string_id = -1 try: vis_string_id = dom_snapshot["strings"].index(BROWSERGYM_VISIBILITY_ATTRIBUTE) except ValueError: vis_string_id = -1 try: som_string_id = dom_snapshot["strings"].index(BROWSERGYM_SETOFMARKS_ATTRIBUTE) except ValueError: som_string_id = -1 # Build the iframe tree (simplified version) doc_properties = {0: {"parent": None, "abs_pos": {"x": 0, "y": 0}, "nodes": []}} # Process documents for doc_idx, document in enumerate(dom_snapshot.get("documents", [])): if doc_idx not in doc_properties: doc_properties[doc_idx] = {"parent": None, "abs_pos": {"x": 0, "y": 0}, "nodes": []} # Initialize node properties doc_properties[doc_idx]["nodes"] = [ { "bid": None, "visibility": None, "bbox": None, "clickable": False, "set_of_marks": None, } for _ in range(len(document.get("nodes", {}).get("parentIndex", []))) ] # Extract clickable property clickable_indices = document.get("nodes", {}).get("isClickable", {}).get("index", []) for node_idx in clickable_indices: if node_idx < len(doc_properties[doc_idx]["nodes"]): doc_properties[doc_idx]["nodes"][node_idx]["clickable"] = True # Extract bid and visibility properties node_attributes = document.get("nodes", {}).get("attributes", []) for node_idx, node_attrs in enumerate(node_attributes): if node_idx >= len(doc_properties[doc_idx]["nodes"]): continue for i in range(0, len(node_attrs), 2): if i + 1 >= len(node_attrs): break name_string_id = node_attrs[i] value_string_id = node_attrs[i + 1] if name_string_id == bid_string_id: doc_properties[doc_idx]["nodes"][node_idx]["bid"] = to_string(value_string_id) elif name_string_id == vis_string_id: vis_value = to_string(value_string_id) if vis_value: try: doc_properties[doc_idx]["nodes"][node_idx]["visibility"] = float(vis_value) except ValueError: pass elif name_string_id == som_string_id: doc_properties[doc_idx]["nodes"][node_idx]["set_of_marks"] = ( to_string(value_string_id) == "1" ) # Extract bbox property layout = document.get("layout", {}) node_indices = layout.get("nodeIndex", []) bounds = layout.get("bounds", []) client_rects = layout.get("clientRects", []) for i, node_idx in enumerate(node_indices): if node_idx < len(doc_properties[doc_idx]["nodes"]) and i < len(bounds) and i < len(client_rects): # Empty clientRect means element is not actually rendered if not client_rects[i]: doc_properties[doc_idx]["nodes"][node_idx]["bbox"] = None else: # Copy bounds and adjust for absolute document position bbox = bounds[i].copy() if bounds[i] else [0, 0, 0, 0] bbox[0] += doc_properties[doc_idx]["abs_pos"]["x"] bbox[1] += doc_properties[doc_idx]["abs_pos"]["y"] doc_properties[doc_idx]["nodes"][node_idx]["bbox"] = bbox # Collect extra properties of all nodes with browsergym_id attribute # BID ids seems correct so far extra_properties = {} for doc in doc_properties.values(): for node in doc["nodes"]: bid = node["bid"] if bid: if bid in extra_properties: logger.warning(f"Duplicate {BROWSERGYM_ID_ATTRIBUTE}={repr(bid)} attribute detected") extra_properties[bid] = { "visibility": node["visibility"], "bbox": node["bbox"], "clickable": node["clickable"], "set_of_marks": node["set_of_marks"], } return extra_properties def add_browsergym_id_to_accessibility_tree( accessibility_tree: Dict[str, Any], dom_snapshot: Dict[str, Any] ) -> Dict[str, Any]: """ Post-process the accessibility tree to add browsergym_id field to nodes based on correlation with DOM snapshot """ if not accessibility_tree or not dom_snapshot: return accessibility_tree # Build a mapping from backendNodeId to browsergym_id from DOM snapshot backend_node_id_to_bid = {} def to_string(idx): if idx == -1: return None else: return dom_snapshot["strings"][idx] # Pre-locate the bid string ID try: bid_string_id = dom_snapshot["strings"].index(BROWSERGYM_ID_ATTRIBUTE) except ValueError: bid_string_id = -1 if bid_string_id == -1: logger.warning("No browsergym_id attributes found in DOM snapshot") return accessibility_tree # Extract backend node IDs and browsergym_ids from DOM snapshot for document in dom_snapshot.get("documents", []): backend_node_ids = document.get("nodes", {}).get("backendNodeId", []) node_attributes = document.get("nodes", {}).get("attributes", []) for node_idx, node_attrs in enumerate(node_attributes): if node_idx >= len(backend_node_ids): continue backend_node_id = backend_node_ids[node_idx] browsergym_id = None # Look for browsergym_id in this node's attributes for i in range(0, len(node_attrs), 2): if i + 1 >= len(node_attrs): break name_string_id = node_attrs[i] value_string_id = node_attrs[i + 1] if name_string_id == bid_string_id: browsergym_id = to_string(value_string_id) break if browsergym_id and backend_node_id: backend_node_id_to_bid[backend_node_id] = browsergym_id # Add browsergym_id to accessibility tree nodes processed_tree = accessibility_tree.copy() if "nodes" in processed_tree: for node in processed_tree["nodes"]: if "backendDOMNodeId" in node: backend_node_id = node["backendDOMNodeId"] if backend_node_id in backend_node_id_to_bid: node["browsergym_id"] = backend_node_id_to_bid[backend_node_id] logger.info( f"Added browsergym_id to {len([n for n in processed_tree.get('nodes', []) if 'browsergym_id' in n])} accessibility tree nodes" ) return processed_tree async def full_extract_chrome_extension( communicator: ChromeExtensionCommunicatorProtocol, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False, max_retries: int = 3, ) -> Dict[str, Any]: """ Full extraction routine using Chrome extension """ dom_snapshot = None accessibility_tree = None dom_tree = None extra_properties = None focused_element_bid = None screenshot = None page_content = None page_url = None for retry in range(max_retries): try: # Pre-extraction: mark DOM elements await _pre_extract_chrome_extension( communicator, tags_to_mark, lenient=(retry == max_retries - 1) ) # Extract all data in parallel for better performance tasks = [ extract_dom_snapshot_chrome_extension(communicator), extract_accessibility_tree_chrome_extension(communicator), extract_dom_tree_chrome_extension(communicator, do_highlight_elements=True, debug_mode=True), extract_focused_element_bid_chrome_extension(communicator), extract_screenshot_chrome_extension(communicator), extract_page_content_chrome_extension(communicator), extract_page_url_chrome_extension(communicator), extract_page_title_chrome_extension(communicator), ] results = await asyncio.gather(*tasks, return_exceptions=True) # Process results dom_snapshot = results[0] if not isinstance(results[0], Exception) else {} accessibility_tree = results[1] if not isinstance(results[1], Exception) else {} dom_tree = results[2] if not isinstance(results[2], Exception) else {} focused_element_bid = results[3] if not isinstance(results[3], Exception) else "" screenshot = results[4] if not isinstance(results[4], Exception) else "" page_content = results[5] if not isinstance(results[5], Exception) else "" page_url = results[6] if not isinstance(results[6], Exception) else "" page_title = results[7] if not isinstance(results[7], Exception) else "" # Log any exceptions for i, result in enumerate(results): if isinstance(result, Exception): logger.warning(f"Task {i} failed: {result}") # Post-process accessibility tree to add browsergym_id field if accessibility_tree and dom_snapshot: accessibility_tree = add_browsergym_id_to_accessibility_tree(accessibility_tree, dom_snapshot) # Process extra properties from DOM snapshot if dom_snapshot: extra_properties = extract_dom_extra_properties_chrome_extension(dom_snapshot) else: extra_properties = {} break except (ChromeExtensionError, MarkingError) as e: err_msg = str(e) if retry < max_retries - 1 and any( msg in err_msg for msg in [ "Frame was detached", "Frame with the given frameId is not found", "Execution context was destroyed", "Frame has been detached", "Chrome extension connection timeout", ] ): logger.warning(f"Extraction failed, retrying ({retry + 1}/{max_retries}): {err_msg}") await _post_extract_chrome_extension(communicator) await asyncio.sleep(0.5) continue else: raise e finally: # Always cleanup try: await _post_extract_chrome_extension(communicator) except Exception as cleanup_error: logger.warning(f"Cleanup failed: {cleanup_error}") return { "dom_snapshot": dom_snapshot, "accessibility_tree": accessibility_tree, "dom_tree": dom_tree, "extra_properties": extra_properties, "focused_element_bid": focused_element_bid, "screenshot": screenshot, "page_content": page_content, "page_url": page_url, "page_title": page_title, } ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/http_stream_comm.py ================================================ import asyncio import uuid from typing import Any, Dict, Optional, Protocol, runtime_checkable @runtime_checkable class ChromeExtensionCommunicatorProtocol(Protocol): async def __aenter__(self): ... async def __aexit__(self, exc_type, exc_val, exc_tb): ... async def send_request(self, data: dict, timeout: Optional[float] = None) -> dict: ... async def send_extraction_request( self, request_type: str, data: Dict[str, Any] = None ) -> Dict[str, Any]: ... async def get_next_command(self) -> dict: ... def resolve_request(self, req_id: str, result: dict): ... def is_connected(self) -> bool: ... async def wait_for_connection(self, timeout: float = 10.0): ... async def ping(self) -> bool: ... async def extract_dom_snapshot(self, **kwargs) -> Dict[str, Any]: ... async def extract_accessibility_tree(self) -> Dict[str, Any]: ... async def extract_screenshot(self, format: str = "png", quality: int = 100) -> str: ... async def extract_focused_element_bid(self) -> str: ... async def extract_page_content(self, as_text: bool = False) -> str: ... async def extract_dom_tree( self, *, do_highlight_elements: bool = True, focus_highlight_index: int = -1, viewport_expansion: int = 0, debug_mode: bool = False, ) -> Dict[str, Any]: ... async def get_active_tab_url(self) -> str: ... async def get_active_tab_title(self) -> str: ... class ChromeExtensionCommunicatorHTTP: def __init__(self): self._queue: asyncio.Queue[dict] = asyncio.Queue() self._pending: Dict[str, asyncio.Future] = {} self.request_timeout = 30 async def __aenter__(self): # For compatibility with WebSocket version return self async def __aexit__(self, exc_type, exc_val, exc_tb): # For compatibility with WebSocket version pass async def send_request(self, data: dict, timeout: Optional[float] = None) -> dict: req_id = uuid.uuid4().hex data["request_id"] = req_id fut = asyncio.get_running_loop().create_future() self._pending[req_id] = fut await self._queue.put(data) try: return await asyncio.wait_for(fut, timeout or self.request_timeout) finally: self._pending.pop(req_id, None) async def send_extraction_request(self, request_type: str, data: Dict[str, Any] = None) -> Dict[str, Any]: """Send extraction request to Chrome extension""" request = {"type": request_type, "data": data or {}} response = await self.send_request(request) if response.get("type") == "error": raise RuntimeError(f"Extension error: {response.get('message', 'Unknown error')}") return response async def get_next_command(self) -> dict: return await self._queue.get() def resolve_request(self, req_id: str, result: dict): fut = self._pending.get(req_id) if fut and not fut.done(): fut.set_result(result) def is_connected(self) -> bool: # For compatibility; always return True for HTTP stream return True async def wait_for_connection(self, timeout: float = 10.0): # For compatibility with WebSocket version; HTTP stream is always "connected" # Just return immediately since we don't need to wait for a connection pass async def ping(self) -> bool: """Ping the Chrome extension""" try: response = await self.send_request({"type": "ping"}, timeout=5.0) return response.get("type") == "pong" except Exception: return False async def extract_dom_snapshot(self, **kwargs) -> Dict[str, Any]: """Extract DOM snapshot""" response = await self.send_extraction_request("extract_dom_snapshot", kwargs) return response.get("data", {}) async def extract_accessibility_tree(self) -> Dict[str, Any]: """Extract accessibility tree""" response = await self.send_extraction_request("extract_accessibility_tree") return response.get("data", {}) async def extract_screenshot(self, format: str = "png", quality: int = 100) -> str: """Extract screenshot""" response = await self.send_extraction_request( "extract_screenshot", {"format": format, "quality": quality} ) return response.get("data", "") async def extract_focused_element_bid(self) -> str: """Extract focused element BID""" response = await self.send_extraction_request("extract_focused_element_bid") return response.get("data", "") async def extract_page_content(self, as_text: bool = False) -> str: """Extract page content""" response = await self.send_extraction_request("extract_page_content", {"as_text": as_text}) return response.get("data", "") async def extract_dom_tree( self, do_highlight_elements: bool = True, focus_highlight_index: int = -1, viewport_expansion: int = 0, debug_mode: bool = False, ) -> Dict[str, Any]: """Extract DOM tree with interactive element analysis""" response = await self.send_extraction_request( "extract_dom_tree", { "do_highlight_elements": do_highlight_elements, "focus_highlight_index": focus_highlight_index, "viewport_expansion": viewport_expansion, "debug_mode": debug_mode, }, ) return response.get("data", {}) async def get_active_tab_url(self) -> str: """Get the URL of the active browser tab""" response = await self.send_extraction_request("get_active_tab_url") return response.get("data", "") async def get_active_tab_title(self) -> str: """Get the title of the active browser tab""" response = await self.send_extraction_request("get_active_tab_title") return response.get("data", "") async def mark_elements(self, tags_to_mark: str = "standard_html") -> list: """Mark DOM elements""" response = await self.send_extraction_request("mark_elements", {"tags_to_mark": tags_to_mark}) return response.get("warnings", []) async def unmark_elements(self): """Unmark DOM elements""" await self.send_extraction_request("unmark_elements") ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/javascript/frame_mark_elements.js ================================================ /* * Copyright 2024 ServiceNow * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 */ async ([parent_bid, bid_attr_name, tags_to_mark]) => { // standard html tags // https://www.w3schools.com/tags/ const html_tags = new Set([ "a", "abbr", "acronym", "address", "applet", "area", "article", "aside", "audio", "b", "base", "basefont", "bdi", "bdo", "big", "blockquote", "body", "br", "button", "canvas", "caption", "center", "cite", "code", "col", "colgroup", "data", "datalist", "dd", "del", "details", "dfn", "dialog", "dir", "div", "dl", "dt", "em", "embed", "fieldset", "figcaption", "figure", "font", "footer", "form", "frame", "frameset", "h1", "h2", "h3", "h4", "h5", "h6", "head", "header", "hgroup", "hr", "html", "i", "iframe", "img", "input", "ins", "kbd", "label", "legend", "li", "link", "main", "map", "mark", "menu", "meta", "meter", "nav", "noframes", "noscript", "object", "ol", "optgroup", "option", "output", "p", "param", "picture", "pre", "progress", "q", "rp", "rt", "ruby", "s", "samp", "script", "search", "section", "select", "small", "source", "span", "strike", "strong", "style", "sub", "summary", "sup", "svg", "table", "tbody", "td", "template", "textarea", "tfoot", "th", "thead", "time", "title", "tr", "track", "tt", "u", "ul", "var", "video", "wbr" ]); const set_of_marks_tags = new Set([ "input", "textarea", "select", "button", "a", "iframe", "video", "li", "td", "option" ]); let browsergym_first_visit = false; // if no yet set, set the frame (local) element counter to 0 if (!("browsergym_elem_counter" in window)) { window.browsergym_elem_counter = 0; window.browsergym_frame_id_generator = new IFrameIdGenerator(); browsergym_first_visit = true; } // mechanism for computing all element's visibility // the intersection observer will set the visibility ratio of elements entering / exiting the viewport // a set is used to keep track of not-yet-visited elements let elems_to_be_visited = new Set(); let intersection_observer = new IntersectionObserver( entries => { entries.forEach(entry => { let elem = entry.target; elem.setAttribute('browsergym_visibility_ratio', Math.round(entry.intersectionRatio * 100) / 100); if (elems_to_be_visited.has(elem)) { elems_to_be_visited.delete(elem); } }) }, { threshold: [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] } ) let all_bids = new Set(); // get all DOM elements in the current frame (does not include elements in shadowDOMs) let elements = Array.from(document.querySelectorAll('*')); let som_buttons = []; i = 0; while (i < elements.length) { const elem = elements[i]; // add shadowDOM elements to the elements array, in such a way that order is preserved // TODO: do we really need the order preserved? if (elem.shadowRoot !== null) { elements = new Array( ...Array.prototype.slice.call(elements, 0, i + 1), ...Array.from(elem.shadowRoot.querySelectorAll("*")), ...Array.prototype.slice.call(elements, i + 1) ); } i++; // decide if the current element should be marked or not switch (tags_to_mark) { // mark all elements case "all": break; // mark only standard HTML tags case "standard_html": if (!elem.tagName || !html_tags.has(elem.tagName.toLowerCase())) { // continue the loop, i.e., move on to the next element continue; } break; // non-recognized argument default: throw new Error(`Invalid value for parameter \"tags_to_mark\": ${JSON.stringify(tags_to_mark)}`); } // Processing element // register intersection callback on element, and keep track of element for waiting later elem.setAttribute('browsergym_visibility_ratio', 0); elems_to_be_visited.add(elem); intersection_observer.observe(elem); // write dynamic element values to the DOM if (typeof elem.value !== 'undefined') { elem.setAttribute("value", elem.value); } // write dynamic checked properties to the DOM if (typeof elem.checked !== 'undefined') { if (elem.checked === true) { elem.setAttribute("checked", ""); } else { elem.removeAttribute("checked"); } } // add the element global id (browsergym id) to a custom HTML attribute // https://playwright.dev/docs/locators#locate-by-test-id // recover the element id if it has one already, else compute a new element id let elem_global_bid = null; if (elem.hasAttribute(bid_attr_name)) { // throw an error if the attribute is already set while this is the first visit of the page if (browsergym_first_visit) { throw new Error(`Attribute ${bid_attr_name} already used in element ${elem.outerHTML}`); } elem_global_bid = elem.getAttribute(bid_attr_name); // if the bid has already been encountered, then this is a duplicate and a new bid should be set if (all_bids.has(elem_global_bid)) { console.log(`BrowserGym: duplicate bid ${elem_global_bid} detected, generating a new one`); elem_global_bid = null; } } if (elem_global_bid === null) { let elem_local_id = null; // iFrames get alphabetical ids: 'a', 'b', ..., 'z', 'aA', 'aB' etc. if (['iframe', 'frame'].includes(elem.tagName.toLowerCase())) { elem_local_id = `${window.browsergym_frame_id_generator.next()}`; } // other elements get numerical ids: '0', '1', '2', ... else { elem_local_id = `${window.browsergym_elem_counter++}`; } if (parent_bid == "") { elem_global_bid = `${elem_local_id}`; } else { elem_global_bid = `${parent_bid}${elem_local_id}`; } elem.setAttribute(bid_attr_name, `${elem_global_bid}`); } all_bids.add(elem_global_bid); // Hack: store custom data inside ARIA attributes (will be available in DOM and AXTree) // - elem_global_bid: global element identifier (unique over multiple frames) // TODO: add more data if needed (x, y coordinates, bounding box, is_visible, is_clickable etc.) push_bid_to_attribute(elem_global_bid, elem, "aria-roledescription"); push_bid_to_attribute(elem_global_bid, elem, "aria-description"); // fallback for generic nodes // set-of-marks flag (He et al. 2024) // https://github.com/MinorJerry/WebVoyager/blob/main/utils.py elem.setAttribute("browsergym_set_of_marks", "0"); // click at center activates self or a child if (["self", "child"].includes(whoCapturesCenterClick(elem))) { // has valid tag name, or has click event, or triggers a pointer cursor if (set_of_marks_tags.has(elem.tagName.toLowerCase()) || (elem.onclick != null) || (window.getComputedStyle(elem).cursor == "pointer")) { let rect = elem.getBoundingClientRect(); let area = (rect.right - rect.left) * (rect.bottom - rect.top); // area is large enough if (area >= 20) { // is not a child of a button (role, type, tag) set to be marked if (som_buttons.every(button => !button.contains(elem))) { // is not the sole child of span that has a role and is set to be marked let parent = elem.parentElement; if (!(parent && parent.tagName.toLowerCase() == "span" && parent.children.length === 1 && parent.getAttribute("role") && parent.getAttribute("browsergym_set_of_marks") === "1")) { // all checks have passed, flag the element for inclusion in set-of-marks elem.setAttribute("browsergym_set_of_marks", "1"); if (elem.matches('button, a, input[type="button"], div[role="button"]')) { som_buttons.push(elem) } // lastly, remove the set-of-marks flag from all parents, if any while (parent) { if (parent.getAttribute("browsergym_set_of_marks") === "1") { parent.setAttribute("browsergym_set_of_marks", "0") } parent = parent.parentElement; } } } } } } } warning_msgs = new Array(); // wait for all elements to be visited for visibility let visibility_marking_timeout = 1000; // ms try { await until(() => elems_to_be_visited.size == 0, visibility_marking_timeout); } catch { warning_msgs.push(`Frame marking: not all elements have been visited by the intersection_observer after ${visibility_marking_timeout} ms`); } // disconnect intersection observer intersection_observer.disconnect(); return warning_msgs; } async function until(f, timeout, interval=40) { return new Promise((resolve, reject) => { const start_time = Date.now(); // immediate check if (f()) { resolve(); } // loop check const wait = setInterval(() => { if (f()) { clearInterval(wait); resolve(); } else if (Date.now() - start_time > timeout) { clearInterval(wait); reject(); } }, interval); }); } function whoCapturesCenterClick(element){ var rect = element.getBoundingClientRect(); var x = (rect.left + rect.right) / 2 ; var y = (rect.top + rect.bottom) / 2 ; var element_at_center = elementFromPoint(x, y); // return the element in the foreground at position (x,y) if (!element_at_center) { return "nobody"; } else if (element_at_center === element) { return "self"; } else if (element.contains(element_at_center)) { return "child"; } else { return "non-descendant"; } } function push_bid_to_attribute(bid, elem, attr){ let original_content = ""; if (elem.hasAttribute(attr)) { original_content = elem.getAttribute(attr); } let new_content = `browsergym_id_${bid} ${original_content}` elem.setAttribute(attr, new_content); } function elementFromPoint(x, y) { let dom = document; let last_elem = null; let elem = null; do { last_elem = elem; elem = dom.elementFromPoint(x, y); dom = elem?.shadowRoot; } while(dom && elem !== last_elem); return elem; } // https://stackoverflow.com/questions/12504042/what-is-a-method-that-can-be-used-to-increment-letters#answer-12504061 class IFrameIdGenerator { constructor(chars = 'abcdefghijklmnopqrstuvwxyz') { this._chars = chars; this._nextId = [0]; } next() { const r = []; for (let i = 0; i < this._nextId.length; i++) { let char = this._chars[this._nextId[i]]; // all but first character must be upper-cased (a, aA, bCD) if (i < this._nextId.length - 1) { char = char.toUpperCase(); } r.unshift(char); } this._increment(); return r.join(''); } _increment() { for (let i = 0; i < this._nextId.length; i++) { const val = ++this._nextId[i]; if (val < this._chars.length) { return; } this._nextId[i] = 0; } this._nextId.push(0); } *[Symbol.iterator]() { while (true) { yield this.next(); } } } ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/javascript/frame_unmark_elements.js ================================================ /* * Copyright 2024 ServiceNow * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 */ /** * Go through all DOM elements in the frame (including shadowDOMs), * and cleanup previously stored data in ARIA attributes. */ () => { // get all DOM elements in the current frame (does not include elements in shadowDOMs) let elements = Array.from(document.querySelectorAll('*')); let i = 0; while (i < elements.length) { const elem = elements[i]; // add shadowDOM elements to the elements array, in such a way that order is preserved // TODO: do we really need the order preserved? if (elem.shadowRoot !== null) { elements = new Array( ...Array.prototype.slice.call(elements, 0, i + 1), ...Array.from(elem.shadowRoot.querySelectorAll("*")), ...Array.prototype.slice.call(elements, i + 1) ); } i++; // Hack: remove custom data stored in ARIA attributes // - elem_global_id: global browsergym identifier pop_bid_from_attribute(elem, "aria-description"); pop_bid_from_attribute(elem, "aria-roledescription"); // fallback for generic nodes } } function pop_bid_from_attribute(elem, attr) { let bid_regex = /^browsergym_id[^\s]*\s/; if (elem.hasAttribute(attr)) { let content = elem.getAttribute(attr); let original_content = content.replace(bid_regex, ''); if (original_content) { elem.setAttribute(attr, original_content); } else { elem.removeAttribute(attr); } } } ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/obs.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import logging import pkgutil import time import numpy as np import playwright from browsergym.core.observation import ( MarkingError, extract_dom_extra_properties, extract_dom_snapshot, extract_focused_element_bid, extract_merged_axtree, extract_screenshot, ) from playwright.async_api import Page from playwright.sync_api import BrowserContext EXTRACT_OBS_MAX_TRIES = 5 BID_ATTR = "bid" logger = logging.getLogger(__name__) def _pre_extract(page: playwright.sync_api.Page): """ pre-extraction routine, marks dom elements (set bid and dynamic attributes like value and checked) """ js_frame_mark_elements = pkgutil.get_data(__name__, "javascript/frame_mark_elements.js").decode("utf-8") # we can't run this loop in JS due to Same-Origin Policy # (can't access the content of an iframe from a another one) def mark_frames_recursive(frame, frame_bid: str): assert frame_bid == "" or (frame_bid.islower() and frame_bid.isalpha()) # mark all DOM elements in the frame (it will use the parent frame element's bid as a prefix) warning_msgs = frame.evaluate( js_frame_mark_elements, [frame_bid, BID_ATTR], ) # print warning messages if any for msg in warning_msgs: logger.warning(msg) # recursively mark all descendant frames for child_frame in frame.child_frames: # deal with detached frames if child_frame.is_detached(): continue # deal with weird frames (pdf viewer in ) child_frame_elem = child_frame.frame_element() if not child_frame_elem.content_frame() == child_frame: logger.warning(f"Skipping frame '{child_frame.name}' for marking, seems problematic.") continue # deal with sandboxed frames with blocked script execution sandbox_attr = child_frame_elem.get_attribute("sandbox") if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): continue child_frame_bid = child_frame_elem.get_attribute(BID_ATTR) if child_frame_bid is None: raise MarkingError("Cannot mark a child frame without a bid.") mark_frames_recursive(child_frame, frame_bid=child_frame_bid) # mark all frames recursively mark_frames_recursive(page.main_frame, frame_bid="") def _post_extract(page: playwright.sync_api.Page): js_frame_unmark_elements = pkgutil.get_data(__name__, "javascript/frame_unmark_elements.js").decode( "utf-8" ) # we can't run this loop in JS due to Same-Origin Policy # (can't access the content of an iframe from a another one) for frame in page.frames: if not frame == page.main_frame: # deal with weird frames (pdf viewer in ) if not frame.frame_element().content_frame() == frame: logger.warning(f"Skipping frame '{frame.name}' for unmarking, seems problematic.") continue # deal with sandboxed frames with blocked script execution sandbox_attr = frame.frame_element().get_attribute("sandbox") if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): continue try: frame.evaluate(js_frame_unmark_elements) except playwright.sync_api.Error as e: if "Frame was detached" in str(e): pass else: raise e class GymObs: def __init__(self, page: Page, context: BrowserContext): self.page = page self.context = context pass def get_obs(self): for retries_left in reversed(range(EXTRACT_OBS_MAX_TRIES)): try: # pre-extraction, mark dom elements (set bid, set dynamic attributes like value and checked) _pre_extract(self.page) dom = extract_dom_snapshot(self.page) axtree = extract_merged_axtree(self.page) focused_element_bid = extract_focused_element_bid(self.page) extra_properties = extract_dom_extra_properties(dom) except (playwright.sync_api.Error, MarkingError) as e: err_msg = str(e) # try to add robustness to async events (detached / deleted frames) if retries_left > 0 and ( "Frame was detached" in err_msg or "Frame with the given frameId is not found" in err_msg or "Execution context was destroyed" in err_msg or "Frame has been detached" in err_msg or "Cannot mark a child frame without a bid" in err_msg ): logger.warning( f"An error occured while extracting the dom and axtree. Retrying ({retries_left}/{EXTRACT_OBS_MAX_TRIES} tries left).\n{repr(e)}" ) # post-extract cleanup (aria-roledescription attribute) _post_extract(self.page) time.sleep(0.5) continue else: raise e break # post-extraction cleanup of temporary info in dom _post_extract(self.page) # use first user message as goal, if any # use all user images before first user message as goal images, if any # obs is generic to all tasks obs = { "open_pages_urls": [page.url for page in self.context.pages], "active_page_index": np.asarray([self.context.pages.index(self.page)]), "url": self.page.url, "screenshot": extract_screenshot(self.page), "dom_object": dom, "axtree_object": axtree, "extra_element_properties": extra_properties, "focused_element_bid": focused_element_bid, } return obs ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/obs_async.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import base64 import io import logging import pkgutil import re from typing import Literal import numpy as np import PIL.Image import playwright from browsergym.core.observation import ( __DATA_REGEXP, MarkingError, pop_bids_from_attribute, ) from loguru import logger EXTRACT_OBS_MAX_TRIES = 5 BID_ATTR = "bid" async def _pre_extract( page: playwright.async_api.Page, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False, ): """ pre-extraction routine, marks dom elements (set bid and dynamic attributes like value and checked) """ js_frame_mark_elements = pkgutil.get_data(__name__, "javascript/frame_mark_elements.js").decode("utf-8") # we can't run this loop in JS due to Same-Origin Policy # (can't access the content of an iframe from a another one) async def mark_frames_recursive(frame, frame_bid: str): assert frame_bid == "" or re.match(r"^[a-z][a-zA-Z]*$", frame_bid) logger.debug(f"Marking frame {repr(frame_bid)}") # mark all DOM elements in the frame (it will use the parent frame element's bid as a prefix) warning_msgs = await frame.evaluate( js_frame_mark_elements, [frame_bid, BID_ATTR, tags_to_mark], ) # print warning messages if any for msg in warning_msgs: logger.warning(msg) # recursively mark all descendant frames child_frames = frame.child_frames print(child_frames) for child_frame in child_frames: # deal with detached frames if await child_frame.is_detached(): continue # deal with weird frames (pdf viewer in ) child_frame_elem = await child_frame.frame_element() if not (await child_frame_elem.content_frame()) == child_frame: logger.warning(f"Skipping frame '{child_frame.name}' for marking, seems problematic.") continue # deal with sandboxed frames with blocked script execution sandbox_attr = await child_frame_elem.get_attribute("sandbox") if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): continue child_frame_bid = await child_frame_elem.get_attribute(BID_ATTR) if child_frame_bid is None: if lenient: logger.warning("Cannot mark a child frame without a bid. Skipping frame.") continue else: raise MarkingError("Cannot mark a child frame without a bid.") await mark_frames_recursive(child_frame, frame_bid=child_frame_bid) # mark all frames recursively await mark_frames_recursive(page.main_frame, frame_bid="") async def _post_extract(page: playwright.async_api.Page): js_frame_unmark_elements = pkgutil.get_data(__name__, "javascript/frame_unmark_elements.js").decode( "utf-8" ) # we can't run this loop in JS due to Same-Origin Policy # (can't access the content of an iframe from a another one) for frame in page.frames: try: if not frame == page.main_frame: # deal with weird frames (pdf viewer in ) if not await (await frame.frame_element()).content_frame() == frame: logger.warning(f"Skipping frame '{frame.name}' for unmarking, seems problematic.") continue # deal with sandboxed frames with blocked script execution sandbox_attr = await (await frame.frame_element()).get_attribute("sandbox") if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): continue await frame.evaluate(js_frame_unmark_elements) except playwright.async_api.Error as e: if any(msg in str(e) for msg in ("Frame was detached", "Frame has been detached")): pass else: raise e def extract_data_items_from_aria(string: str, log_level: int = logging.NOTSET): """ Utility function to extract temporary data stored in the ARIA attributes of a node """ match = __DATA_REGEXP.fullmatch(string) if not match: logger.log( level=log_level, msg=f"Failed to extract BrowserGym data from ARIA string: {repr(string)}", ) return [], string groups = match.groups() data_items = groups[:-1] original_aria = groups[-1] return data_items, original_aria async def extract_all_frame_axtrees(page: playwright.async_api.Page): """ Extracts the AXTree of all frames (main document and iframes) of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the frame AXTrees. Returns: A dictionnary of AXTrees (as returned by Chrome DevTools Protocol) indexed by frame IDs. """ cdp = await page.context.new_cdp_session(page) # extract the frame tree frame_tree = await cdp.send( "Page.getFrameTree", {}, ) # extract all frame IDs into a list # (breadth-first-search through the frame tree) frame_ids = [] root_frame = frame_tree["frameTree"] frames_to_process = [root_frame] while frames_to_process: frame = frames_to_process.pop() frames_to_process.extend(frame.get("childFrames", [])) # extract the frame ID frame_id = frame["frame"]["id"] frame_ids.append(frame_id) # extract the AXTree of each frame frame_axtrees = { frame_id: await cdp.send( "Accessibility.getFullAXTree", {"frameId": frame_id}, ) for frame_id in frame_ids } await cdp.detach() # extract browsergym data from ARIA attributes for ax_tree in frame_axtrees.values(): for node in ax_tree["nodes"]: data_items = [] # look for data in the node's "roledescription" property if "properties" in node: for i, prop in enumerate(node["properties"]): if prop["name"] == "roledescription": data_items, new_value = extract_data_items_from_aria(prop["value"]["value"]) prop["value"]["value"] = new_value # remove the "description" property if empty if new_value == "": del node["properties"][i] break # look for data in the node's "description" (fallback plan) if "description" in node: data_items_bis, new_value = extract_data_items_from_aria(node["description"]["value"]) node["description"]["value"] = new_value if new_value == "": del node["description"] if not data_items: data_items = data_items_bis # add the extracted "browsergym" data to the AXTree if data_items: (browsergym_id,) = data_items node["browsergym_id"] = browsergym_id return frame_axtrees async def extract_dom_snapshot( page: playwright.async_api.Page, computed_styles=[], include_dom_rects: bool = True, include_paint_order: bool = True, temp_data_cleanup: bool = True, ): """ Extracts the DOM snapshot of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the screenshot. computed_styles: whitelist of computed styles to return. include_dom_rects: whether to include DOM rectangles (offsetRects, clientRects, scrollRects) in the snapshot. include_paint_order: whether to include paint orders in the snapshot. temp_data_cleanup: whether to clean up the temporary data stored in the ARIA attributes. Returns: A document snapshot, including the full DOM tree of the root node (including iframes, template contents, and imported documents) in a flattened array, as well as layout and white-listed computed style information for the nodes. Shadow DOM in the returned DOM tree is flattened. """ cdp = await page.context.new_cdp_session(page) dom_snapshot = await cdp.send( "DOMSnapshot.captureSnapshot", { "computedStyles": computed_styles, "includeDOMRects": include_dom_rects, "includePaintOrder": include_paint_order, }, ) await cdp.detach() # if requested, remove temporary data stored in the ARIA attributes of each node if temp_data_cleanup: pop_bids_from_attribute(dom_snapshot, "aria-roledescription") pop_bids_from_attribute(dom_snapshot, "aria-description") return dom_snapshot async def extract_screenshot(page: playwright.async_api.Page): """ Extracts the screenshot image of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the screenshot. Returns: A screenshot of the page, in the form of a 3D array (height, width, rgb). """ cdp = await page.context.new_cdp_session(page) cdp_answer = await cdp.send( "Page.captureScreenshot", { "format": "png", }, ) await cdp.detach() # bytes of a png file png_base64 = cdp_answer["data"] png_bytes = base64.b64decode(png_base64) with io.BytesIO(png_bytes) as f: # load png as a PIL image img = PIL.Image.open(f) # convert to RGB (3 channels) img = img.convert(mode="RGB") # convert to a numpy array img = np.array(img) return img async def extract_screenshot_base64(page: playwright.async_api.Page): """ Extracts the screenshot image of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the screenshot. Returns: A screenshot of the page, in the form of a 3D array (height, width, rgb). """ cdp = await page.context.new_cdp_session(page) cdp_answer = await cdp.send( "Page.captureScreenshot", { "format": "png", }, ) await cdp.detach() # bytes of a png file png_base64 = cdp_answer["data"] return png_base64 async def extract_focused_element_bid(page: playwright.async_api.Page): # this JS code will dive through ShadowDOMs extract_focused_element_with_bid_script = """\ () => { // This recursive function traverses shadow DOMs function getActiveElement(root) { const active_element = root.activeElement; if (!active_element) { return null; } if (active_element.shadowRoot) { return getActiveElement(active_element.shadowRoot); } else { return active_element; } } return getActiveElement(document); }""" # this playwright code will dive through iFrames frame = page focused_bid = "" while frame: focused_obj = await frame.evaluate_handle(extract_focused_element_with_bid_script, BID_ATTR) focused_element = focused_obj.as_element() if focused_element: frame = await focused_element.content_frame() focused_bid = await focused_element.get_attribute(BID_ATTR) else: frame = None return focused_bid async def extract_merged_axtree(page: playwright.async_api.Page): """ Extracts the merged AXTree of a Playwright page (main document and iframes AXTrees merged) using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the merged AXTree. Returns: A merged AXTree (same format as those returned by Chrome DevTools Protocol). """ frame_axtrees = await extract_all_frame_axtrees(page) cdp = await page.context.new_cdp_session(page) # merge all AXTrees into one merged_axtree = {"nodes": []} for ax_tree in frame_axtrees.values(): merged_axtree["nodes"].extend(ax_tree["nodes"]) # connect each iframe node to the corresponding AXTree root node for node in ax_tree["nodes"]: if node["role"]["value"] == "Iframe": frame_id = ( cdp.send("DOM.describeNode", {"backendNodeId": node["backendDOMNodeId"]}) .get("node", {}) .get("frameId", None) ) if not frame_id: logger.warning( f"AXTree merging: unable to recover frameId of node with backendDOMNodeId {repr(node['backendDOMNodeId'])}, skipping" ) # it seems Page.getFrameTree() from CDP omits certain Frames (empty frames?) # if a frame is not found in the extracted AXTrees, we just ignore it elif frame_id in frame_axtrees: # root node should always be the first node in the AXTree frame_root_node = frame_axtrees[frame_id]["nodes"][0] assert frame_root_node["frameId"] == frame_id node["childIds"].append(frame_root_node["nodeId"]) else: logger.warning( f"AXTree merging: extracted AXTree does not contain frameId '{frame_id}', skipping" ) await cdp.detach() return merged_axtree ================================================ FILE: src/cuga/backend/browser_env/browser/gym_obs/websocket_server.py ================================================ import asyncio import json import uuid from typing import Any, Dict, Optional import websockets from loguru import logger from websockets.server import WebSocketServerProtocol class ChromeExtensionWebSocketServer: """ WebSocket server that handles communication with Chrome extension """ def __init__(self, host: str = "localhost", port: int = 9223): self.host = host self.port = port self.server = None self.connected_clients: Dict[str, WebSocketServerProtocol] = {} self.pending_requests: Dict[str, asyncio.Future] = {} self.request_timeout = 30 # seconds async def start(self): """Start the WebSocket server""" try: # Create a wrapper function that properly handles the websocket handler signature async def handler(websocket, path): await self.handle_client(websocket) self.server = await websockets.serve( self.handle_client, self.host, self.port, ping_interval=20, ping_timeout=10 ) logger.info(f"WebSocket server started on ws://{self.host}:{self.port}") except Exception as e: logger.error(f"Failed to start WebSocket server: {e}") raise async def stop(self): """Stop the WebSocket server""" if self.server: self.server.close() await self.server.wait_closed() logger.info("WebSocket server stopped") async def handle_client(self, websocket: WebSocketServerProtocol): """Handle new client connection""" client_id = str(uuid.uuid4()) self.connected_clients[client_id] = websocket logger.info(f"Chrome extension connected: {client_id}") try: async for message in websocket: logger.info(f"DEBUG: Raw message received from {client_id}, length: {len(message)}") try: data = json.loads(message) logger.info(f"DEBUG: Parsed JSON message type: {data.get('type')}") await self.handle_message(client_id, websocket, data) except json.JSONDecodeError as e: logger.error(f"DEBUG: Invalid JSON from client {client_id}: {e}") logger.error(f"Invalid JSON from client {client_id}: {e}") await self.send_error(websocket, "Invalid JSON format") except Exception as e: logger.error(f"DEBUG: Error handling message from {client_id}: {e}") logger.error(f"Error handling message from {client_id}: {e}") await self.send_error(websocket, str(e)) except websockets.exceptions.ConnectionClosed: logger.info(f"Chrome extension disconnected: {client_id}") except Exception as e: logger.error(f"Connection error with {client_id}: {e}") finally: if client_id in self.connected_clients: del self.connected_clients[client_id] async def handle_message(self, client_id: str, websocket: WebSocketServerProtocol, data: Dict[str, Any]): """Handle incoming message from Chrome extension""" message_type = data.get("type") request_id = data.get("request_id") logger.info(f"DEBUG: Received message from {client_id}: {message_type} (request_id: {request_id})") logger.debug(f"DEBUG: Full message data keys: {list(data.keys())}") if message_type == "ping": await self.send_message( websocket, {"type": "pong", "request_id": request_id, "timestamp": asyncio.get_event_loop().time()}, ) elif message_type == "extension_ready": await self.send_message(websocket, {"type": "server_ready", "request_id": request_id}) logger.info(f"Extension {client_id} is ready") elif message_type == "page_extraction_complete": logger.info(f"DEBUG: Processing page_extraction_complete from {client_id}") # Handle page extraction data from Chrome extension await self.handle_page_extraction(client_id, data) logger.info(f"DEBUG: Sending extraction_received response to {client_id}") await self.send_message( websocket, {"type": "extraction_received", "request_id": request_id, "status": "success"} ) elif message_type == "agent_query": logger.info(f"DEBUG: Processing agent_query from {client_id}") # Handle agent query from Chrome extension in a background task so # the main connection handler can continue receiving messages. # This prevents deadlocks where we send a request to the extension # (e.g. page extraction) and then block waiting for the response # while the receive loop is paused. asyncio.create_task(self.handle_agent_query(client_id, websocket, data)) # No immediate response needed here; the spawned task will stream # data back to the extension. return # Exit early to keep the handler responsive elif request_id and request_id in self.pending_requests: # This is a response to a request we sent future = self.pending_requests.pop(request_id) if not future.cancelled(): future.set_result(data) else: logger.warning(f"Unknown message type or unmatched request: {message_type}") async def send_message(self, websocket: WebSocketServerProtocol, data: Dict[str, Any]): """Send message to a specific websocket""" try: message = json.dumps(data) await websocket.send(message) except Exception as e: logger.error(f"Failed to send message: {e}") async def send_error(self, websocket: WebSocketServerProtocol, error_message: str): """Send error message to websocket""" await self.send_message(websocket, {"type": "error", "message": error_message}) async def broadcast_message(self, data: Dict[str, Any]): """Send message to all connected clients""" if not self.connected_clients: logger.warning("No connected clients to broadcast to") return message = json.dumps(data) disconnected = [] for client_id, websocket in self.connected_clients.items(): try: await websocket.send(message) except Exception as e: logger.error(f"Failed to send message to {client_id}: {e}") disconnected.append(client_id) # Clean up disconnected clients for client_id in disconnected: del self.connected_clients[client_id] async def send_request(self, data: Dict[str, Any], timeout: Optional[float] = None) -> Dict[str, Any]: """Send request to Chrome extension and wait for response""" if not self.connected_clients: raise ConnectionError("No Chrome extension connected") # Use the first connected client (in future could support multiple) websocket = next(iter(self.connected_clients.values())) request_id = str(uuid.uuid4()) data["request_id"] = request_id # Create future to wait for response future = asyncio.get_running_loop().create_future() self.pending_requests[request_id] = future try: # Send request await self.send_message(websocket, data) # Wait for response with timeout response = await asyncio.wait_for(future, timeout=timeout or self.request_timeout) return response except asyncio.TimeoutError: # Clean up on timeout if request_id in self.pending_requests: del self.pending_requests[request_id] raise TimeoutError(f"Request {request_id} timed out") except Exception as e: # Clean up on error if request_id in self.pending_requests: del self.pending_requests[request_id] raise e def is_connected(self) -> bool: """Check if any Chrome extension is connected""" return len(self.connected_clients) > 0 def get_connected_count(self) -> int: """Get number of connected Chrome extensions""" return len(self.connected_clients) async def handle_page_extraction(self, client_id: str, data: Dict[str, Any]): """Handle page extraction data received from Chrome extension""" try: logger.info(f"DEBUG: handle_page_extraction called for {client_id}") logger.info(f"DEBUG: Input data keys: {list(data.keys())}") logger.info(f"Received page extraction data from client {client_id}") # Log summary of received data extraction_data = data.get("data", {}) summary = { "client_id": client_id, "timestamp": data.get("timestamp", "unknown"), "has_dom_snapshot": bool(extraction_data.get("dom_snapshot")), "has_accessibility_tree": bool(extraction_data.get("accessibility_tree")), "has_screenshot": bool(extraction_data.get("screenshot")), "has_focused_element_bid": bool(extraction_data.get("focused_element_bid")), "has_page_content": bool(extraction_data.get("page_content")), } if extraction_data.get("dom_snapshot"): dom_snapshot = extraction_data["dom_snapshot"] summary["dom_document_count"] = len(dom_snapshot.get("documents", [])) if extraction_data.get("accessibility_tree"): ax_tree = extraction_data["accessibility_tree"] summary["accessibility_node_count"] = len(ax_tree.get("nodes", [])) logger.info(f"Page extraction summary: {summary}") # Store the latest extraction data (could be used by other parts of the system) if not hasattr(self, 'latest_extraction_data'): self.latest_extraction_data = {} self.latest_extraction_data[client_id] = { "data": extraction_data, "timestamp": data.get("timestamp"), "summary": summary, } # Optional: Save to file for debugging (similar to server's save_extracted_data) await self._save_extraction_debug_data(client_id, extraction_data) except Exception as e: logger.error(f"Error handling page extraction from {client_id}: {str(e)}") async def _save_extraction_debug_data(self, client_id: str, extraction_data: Dict[str, Any]): """Save extraction data to debug files (optional)""" try: import json import base64 from datetime import datetime from pathlib import Path # Create debug directory debug_dir = Path("debug_extractions_websocket") debug_dir.mkdir(exist_ok=True) # Create timestamp for file naming timestamp = datetime.now().strftime("%Y%m%d_%H%M%S_%f")[:-3] # Create extraction-specific directory extraction_dir = debug_dir / f"websocket_{client_id}_{timestamp}" extraction_dir.mkdir(exist_ok=True) # Save each data type to separate files for key, value in extraction_data.items(): if value is None: continue if key == "screenshot" and isinstance(value, str): # Save screenshot as PNG try: screenshot_data = base64.b64decode(value) screenshot_file = extraction_dir / "screenshot.png" with open(screenshot_file, 'wb') as f: f.write(screenshot_data) except Exception: # If decode fails, save as text screenshot_file = extraction_dir / "screenshot.txt" with open(screenshot_file, 'w', encoding='utf-8') as f: f.write(value[:1000] + "..." if len(value) > 1000 else value) elif key == "page_content" and isinstance(value, str): # Save page content as text content_file = extraction_dir / "page_content.txt" with open(content_file, 'w', encoding='utf-8') as f: f.write(value) else: # Save other data as JSON json_file = extraction_dir / f"{key}.json" with open(json_file, 'w', encoding='utf-8') as f: json.dump(value, f, indent=2, ensure_ascii=False) # Save summary summary_file = extraction_dir / "websocket_summary.json" summary_data = { "client_id": client_id, "timestamp": timestamp, "extraction_keys": list(extraction_data.keys()), "received_via": "websocket", } with open(summary_file, 'w', encoding='utf-8') as f: json.dump(summary_data, f, indent=2, ensure_ascii=False) logger.debug(f"WebSocket extraction data saved to: {extraction_dir}") except Exception as e: logger.debug(f"Failed to save WebSocket extraction debug data: {str(e)}") async def handle_agent_query( self, client_id: str, websocket: WebSocketServerProtocol, data: Dict[str, Any] ): """Handle agent query from Chrome extension""" try: query = data.get("query", "") logger.info(f"Received agent query from {client_id}: {query}") # Import here to avoid circular imports from server.main import event_stream # Start the agent stream logger.info(f"Starting agent stream for query: {query}") # Send initial response to indicate we're processing await self.send_message( websocket, {"type": "agent_response", "content": f"Processing query: {query}\n\n"} ) # Stream the agent responses async for chunk in event_stream(query, api_mode=False): try: # Parse the chunk if it's a JSON string if chunk.strip(): # Remove "data: " prefix if present if chunk.startswith("data: "): chunk = chunk[6:] # Try to parse as JSON try: chunk_data = json.loads(chunk) content = chunk_data.get("data", chunk) except json.JSONDecodeError: content = chunk # Send response chunk to Chrome extension await self.send_message(websocket, {"type": "agent_response", "content": content}) except Exception as e: logger.error(f"Error processing agent response chunk: {str(e)}") continue # Send completion message await self.send_message(websocket, {"type": "agent_complete"}) logger.info(f"Agent query completed for {client_id}") except Exception as e: logger.error(f"Error handling agent query from {client_id}: {str(e)}") await self.send_message(websocket, {"type": "agent_error", "message": str(e)}) def get_latest_extraction_data(self, client_id: str = None) -> Dict[str, Any]: """Get the latest extraction data from a client or any client""" if not hasattr(self, 'latest_extraction_data'): return {} if client_id: return self.latest_extraction_data.get(client_id, {}) else: # Return the most recent extraction from any client if self.latest_extraction_data: latest_client = max( self.latest_extraction_data.keys(), key=lambda k: self.latest_extraction_data[k].get("timestamp", 0), ) return self.latest_extraction_data[latest_client] return {} class ChromeExtensionCommunicatorWebSocket: """ WebSocket-based communicator for Chrome extension """ def __init__(self, host: str = "localhost", port: int = 9223): self.host = host self.port = port self.server = ChromeExtensionWebSocketServer(host, port) async def __aenter__(self): await self.server.start() return self async def __aexit__(self, exc_type, exc_val, exc_tb): await self.server.stop() async def wait_for_connection(self, timeout: float = 10.0): """Wait for Chrome extension to connect""" start_time = asyncio.get_event_loop().time() while not self.server.is_connected(): if asyncio.get_event_loop().time() - start_time > timeout: raise TimeoutError("Chrome extension connection timeout") await asyncio.sleep(0.1) logger.info("Chrome extension connected successfully") async def send_extraction_request(self, request_type: str, data: Dict[str, Any] = None) -> Dict[str, Any]: """Send extraction request to Chrome extension""" request = {"type": request_type, "data": data or {}} response = await self.server.send_request(request) if response.get("type") == "error": raise RuntimeError(f"Extension error: {response.get('message', 'Unknown error')}") return response async def ping(self) -> bool: """Ping the Chrome extension""" try: response = await self.server.send_request({"type": "ping"}, timeout=5.0) return response.get("type") == "pong" except Exception: return False async def extract_dom_snapshot(self, **kwargs) -> Dict[str, Any]: """Extract DOM snapshot""" response = await self.send_extraction_request("extract_dom_snapshot", kwargs) return response.get("data", {}) async def extract_accessibility_tree(self) -> Dict[str, Any]: """Extract accessibility tree""" response = await self.send_extraction_request("extract_accessibility_tree") return response.get("data", {}) async def extract_screenshot(self, format: str = "png", quality: int = 100) -> str: """Extract screenshot""" response = await self.send_extraction_request( "extract_screenshot", {"format": format, "quality": quality} ) return response.get("data", "") async def extract_focused_element_bid(self) -> str: """Extract focused element BID""" response = await self.send_extraction_request("extract_focused_element_bid") return response.get("data", "") async def extract_page_content(self, as_text: bool = False) -> str: """Extract page content""" response = await self.send_extraction_request("extract_page_content", {"as_text": as_text}) return response.get("data", "") async def get_active_tab_url(self) -> str: """Get the URL of the active browser tab""" response = await self.send_extraction_request("get_active_tab_url") return response.get("data", "") async def get_active_tab_title(self) -> str: """Get the title of the active browser tab""" response = await self.send_extraction_request("get_active_tab_title") return response.get("data", "") async def mark_elements(self, tags_to_mark: str = "standard_html") -> list: """Mark DOM elements""" response = await self.send_extraction_request("mark_elements", {"tags_to_mark": tags_to_mark}) return response.get("warnings", []) async def unmark_elements(self): """Unmark DOM elements""" await self.send_extraction_request("unmark_elements") # Example usage async def main(): """Example server usage""" async with ChromeExtensionCommunicatorWebSocket() as comm: print("WebSocket server started, waiting for Chrome extension...") try: # Wait for extension to connect await comm.wait_for_connection(timeout=30.0) # Test ping is_alive = await comm.ping() print(f"Extension ping: {is_alive}") if is_alive: # Mark elements warnings = await comm.mark_elements() print(f"Marking warnings: {warnings}") # Extract data screenshot = await comm.extract_screenshot() print(f"Screenshot length: {len(screenshot)}") # Clean up await comm.unmark_elements() except Exception as e: print(f"Error: {e}") if __name__ == "__main__": asyncio.run(main()) ================================================ FILE: src/cuga/backend/browser_env/browser/open_ended_async.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 from abc import ABC, abstractmethod from typing import Tuple import numpy as np import playwright.async_api class AbstractBrowserTask(ABC): """ Abstract class for browsergym tasks. """ @classmethod @abstractmethod def get_task_id(cls): pass def __init__(self, seed: int | None) -> None: # initiate a random number generator self.random = np.random.RandomState(seed) # task properties, will be used to set up the browsergym environment # default values, can be overriden in children classes self.viewport = {"width": 1280, "height": 720} self.slow_mo = 1000 # ms self.timeout = 5000 # ms self.locale = ( None # see https://playwright.dev/python/docs/api/class-browser#browser-new-context-option-locale ) self.timezone_id = None # see https://playwright.dev/python/docs/api/class-browser#browser-new-context-option-timezone-id @abstractmethod async def setup(self, page: playwright.async_api.Page | None) -> tuple[str, dict]: """ Set up everything needed to execute the task. Args: page: the active playwright page. Returns: goal: str, goal of the task. info: dict, custom information from the task. """ @abstractmethod async def teardown(self) -> None: """ Tear down the task and clean up any ressource / data created by the task. """ @abstractmethod async def validate( self, page: playwright.async_api.Page, chat_messages: list[str] ) -> Tuple[float, bool, str, dict]: """ Validate the task was completed successfully Args: page: the active playwright page. chat_messages: the chat messages. Returns: reward: float, the reward obtained since last call to validate(). done: boolean flag, indicates if the task has finished or not (be it success or fail). message: string, a new user message for the chat. info: dictionnary, custom information from the task. """ async def cheat(self, page: playwright.async_api.Page, chat_messages: list[str]) -> None: """ Solve the task using a pre-defined solution (optional). """ raise NotImplementedError class OpenEndedTaskAsync(AbstractBrowserTask): @classmethod def get_task_id(cls): return "openended" def __init__(self, seed: int, start_url: str, goal: str | None = None) -> None: """ Args: seed: random seed. start_url: str, the url for the starting page. goal: str, the initial goal. """ super().__init__(seed) self.start_url = start_url self.goal = goal async def setup(self, page: playwright.async_api.Page | None) -> tuple[str, dict]: if page: await page.goto(self.start_url, timeout=30000) return self.goal, {} async def teardown(self) -> None: pass async def validate( self, page: playwright.async_api.Page, chat_messages: list[str] ) -> Tuple[float, bool, str, dict]: reward, done, msg, info = 0, False, "", {} # for message in chat_messages: # # if message["role"] == "user" and message["message"] == "exit": # done = True # break return reward, done, msg, info ================================================ FILE: src/cuga/backend/browser_env/browser/utils.py ================================================ from typing import Literal import playwright.async_api async def highlight_by_box_async( page: playwright.async_api.Page, box: dict, color: Literal["blue", "red"] = "blue" ): """Highlights the target element based on its bounding box attributes.""" assert color in ("blue", "red") if box: left, top, width, height = box["x"], box["y"], box["width"], box["height"] await page.evaluate( f"""\ const overlay = document.createElement('div'); document.body.appendChild(overlay); overlay.setAttribute('style', ` all: initial; position: fixed; border: 2px solid transparent; /* Start with transparent border */ borderRadius: 10px; /* Add rounded corners */ boxShadow: 0 0 0px {color}; /* Initial boxShadow with 0px spread */ left: {left - 2}px; /* Adjust left position to accommodate initial shadow spread */ top: {top - 2}px; /* Adjust top position likewise */ width: {width}px; height: {height}px; z-index: 2147483646; /* Maximum value - 1 */ pointerEvents: none; /* Ensure the overlay does not interfere with user interaction */ `); // Animate the boxShadow to create a "wave" effect let spread = 0; // Initial spread radius of the boxShadow const waveInterval = setInterval(() => {{ spread += 10; // Increase the spread radius to simulate the wave moving outward overlay.style.boxShadow = `0 0 40px ${{spread}}px {color}`; // Update boxShadow to new spread radius overlay.style.opacity = 1 - spread / 38; // Gradually decrease opacity to fade out the wave if (spread >= 38) {{ // Assuming 76px ~ 2cm spread radius clearInterval(waveInterval); // Stop the animation once the spread radius reaches 2cm document.body.removeChild(overlay); // Remove the overlay from the document }} }}, 200); // Adjust the interval as needed to control the speed of the wave animation """ ) # Wait a bit to let users see the highlight await page.wait_for_timeout(1000) # Adjust delay as needed async def smooth_move_visual_cursor_to_async( page: playwright.async_api.Page, x: float, y: float, speed: float = 400 ): """ Smoothly moves the visual cursor to a specific point, with constant movement speed. Args: x: target location X coordinate (in viewport pixels) y: target location Y coordinate (in viewport pixels) speed: cursor speed (in pixels per second) """ movement_time = await page.evaluate( """\ ([targetX, targetY, speed]) => { // create cursor if needed if (!("browsergym_visual_cursor" in window)) { if (window.trustedTypes && window.trustedTypes.createPolicy) { window.trustedTypes.createPolicy('default', { createHTML: (string, sink) => string }); } let cursor = document.createElement('div'); cursor.setAttribute('id', 'browsergym-visual-cursor'); cursor.innerHTML = ` `; cursor.setAttribute('style', ` all: initial; position: fixed; opacity: 0.7; /* Slightly transparent */ z-index: 2147483647; /* Maximum value */ pointer-events: none; /* Ensures the SVG doesn't interfere with page interactions */ `); // Calculate center position within the viewport const centerX = window.innerWidth / 2; const centerY = window.innerHeight / 2; cursor.style.left = `${centerX}px`; cursor.style.top = `${centerY}px`; // save cursor element window.browsergym_visual_cursor = cursor; window.browsergym_visual_cursor_n_owners = 0; } // recover cursor let cursor = window.browsergym_visual_cursor; // attach cursor to document document.body.appendChild(cursor); window.browsergym_visual_cursor_n_owners += 1; x = parseFloat(cursor.style.left); y = parseFloat(cursor.style.top); dx = targetX - x; dy = targetY - y; dist = Math.hypot(dx, dy); movement_time = (dist / speed) * 1000; // seconds to milliseconds still_wait_time = 1000; // Adjust steps based on distance to keep movement speed consistent // 1 step per 10 pixels of distance, adjust as needed steps = Math.max(1, Math.trunc(dist / 10)); step_dx = dx / steps; step_dy = dy / steps; step_dist = dist / steps; step_wait_time = Math.max(10, movement_time / steps); let step = 0; let time_still = 0; const cursorInterval = setInterval(() => { // move cursor if (step < steps) { x += step_dx; y += step_dy; cursor.style.left = `${x}px`; cursor.style.top = `${y}px`; } // still cursor (wait a bit) else if (time_still < still_wait_time) { time_still += step_wait_time; } // stop and detach cursor else { clearInterval(cursorInterval); window.browsergym_visual_cursor_n_owners -= 1; if (window.browsergym_visual_cursor_n_owners <= 0) { document.body.removeChild(cursor); } } step += 1; }, step_wait_time); return movement_time; }""", [x, y, speed], ) await page.wait_for_timeout(movement_time) async def check_for_overlay_async( page: playwright.async_api.Page, bid: str, element: playwright.async_api.ElementHandle, box: dict ): if not element: return False visibility = await element.get_attribute("browsergym_visibility_ratio") if visibility is not None: return float(visibility) >= 0.5 """Checks if a given element is the topmost element at its center position by default. If check_corners is True, it checks if any of the corners is visible.""" if box: # corners points_to_check = [ (box["x"], box["y"]), (box["x"] + box["width"], box["y"]), (box["x"], box["y"] + box["height"]), (box["x"] + box["width"], box["y"] + box["height"]), ] for x, y in points_to_check: # Execute JavaScript to find the topmost element at the point. top_element = page.evaluate( f"""() => {{ const el = document.elementFromPoint({x}, {y}); return el ? el.outerHTML : ''; }}""" ) # Check if the topmost element is the element we're interested in. if top_element and bid in top_element: return True return False async def add_demo_mode_effects_async( page: playwright.async_api.Page, elem: playwright.async_api.ElementHandle, bid: str, demo_mode: Literal["off", "default", "all_blue", "only_visible_elements"], move_cursor: bool = True, highlight_box: bool = True, ): if demo_mode == "off": return """Adds visual effects to the target element""" box = await elem.bounding_box() # box = extract_bounds_cdp(page, bid) if box: center_x, center_y = box["x"] + box["width"] / 2, box["y"] + box["height"] / 2 is_top_element = await check_for_overlay_async(page, bid, elem, box) if demo_mode == "only_visible_elements": if not is_top_element: return else: color = "blue" elif demo_mode == "default": if is_top_element: color = "blue" else: color = "red" elif demo_mode == "all_blue": color = "blue" if move_cursor: await smooth_move_visual_cursor_to_async(page, center_x, center_y) if highlight_box: await highlight_by_box_async(page, box, color=color) ================================================ FILE: src/cuga/backend/browser_env/browser/utils_async.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import playwright.async_api _PLAYWRIGHT = None def _set_global_playwright_async(pw: playwright.async_api.Playwright): global _PLAYWRIGHT _PLAYWRIGHT = pw async def _get_global_playwright_async(): global _PLAYWRIGHT if not _PLAYWRIGHT: pw = await playwright.async_api.async_playwright().start() _set_global_playwright_async(pw) return _PLAYWRIGHT ================================================ FILE: src/cuga/backend/browser_env/page_understanding/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/page_understanding/extension_processor.py ================================================ from cuga.backend.browser_env.page_understanding.pu_extractor_chrome_extension import ( PUExtractedChromeExtension, PageUnderstandingExtractorProtocol, ) from cuga.backend.browser_env.page_understanding.pu_transform import PuAnswer from cuga.backend.browser_env.page_understanding.tranformer_utils.dom_transform_utils import ( flatten_domtree_to_str, ) from cuga.backend.browser_env.page_understanding.tranformer_utils.transform_utils import flatten_axtree_to_str from typing import Dict class ExtensionProcessor: def __init__(self, extractor: PageUnderstandingExtractorProtocol) -> None: self.extractor = extractor async def extract(self, config: Dict = {}) -> PUExtractedChromeExtension: """Extract data and store it internally.""" self._data = await self.extractor.extract(**config) return self._data def get_page_url(self) -> str | None: pu_extracted: PUExtractedChromeExtension = self._data if pu_extracted is None: raise ValueError("Extracted PU is None, call .extract() first") return pu_extracted.url def get_page_title(self) -> str | None: pu_extracted: PUExtractedChromeExtension = self._data if pu_extracted is None: raise ValueError("Extracted PU is None, call .extract() first") return getattr(pu_extracted, "page_title", None) async def transform(self, **kwargs) -> PuAnswer: pu_extracted = self._data if pu_extracted is None: raise ValueError("Extracted PU is None, call .extract() first") dom_tree = pu_extracted.dom_tree if dom_tree is not None: rep = flatten_domtree_to_str( dom_tree=dom_tree, extra_properties=pu_extracted.extra_properties or {}, filter_visible_only=kwargs.get("filter_visible_only", False), ) else: rep = flatten_axtree_to_str( AX_tree=pu_extracted.accessibility_tree, extra_properties=pu_extracted.extra_properties or {}, filter_visible_only=kwargs.get("filter_visible_only", False), ) if not pu_extracted.page_content_as_str: raise ValueError("No page_content_as_str found") return PuAnswer( string_representation=rep, focused_element_bid=pu_extracted.focused_element_bid, page_content=pu_extracted.page_content_as_str, img=f"data:image/png;base64,{pu_extracted.img}", key_value_map={}, ) ================================================ FILE: src/cuga/backend/browser_env/page_understanding/extractor_utils/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/page_understanding/extractor_utils/extract_async.py ================================================ import base64 import io import logging import pkgutil import re from typing import Literal import numpy as np import PIL.Image import playwright from loguru import logger from cuga.backend.utils.consts import BROWSERGYM_ID_ATTRIBUTE as BID_ATTR from cuga.backend.utils.consts import BROWSERGYM_SETOFMARKS_ATTRIBUTE as SOM_ATTR from cuga.backend.utils.consts import BROWSERGYM_VISIBILITY_ATTRIBUTE as VIS_ATTR __BID_EXPR = r"([a-zA-Z0-9]+)" __DATA_REGEXP = re.compile(r"^browsergym_id_" + __BID_EXPR + r"\s?" + r"(.*)") # Error = playwright._impl._api_types.Error # TimeoutError = playwright._impl._api_types.TimeoutError class MarkingError(Exception): pass async def _pre_extract( page: playwright.async_api.Page, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False, ): """ pre-extraction routine, marks dom elements (set bid and dynamic attributes like value and checked) """ js_frame_mark_elements = pkgutil.get_data(__name__, "javascript/frame_mark_elements.js").decode("utf-8") # we can't run this loop in JS due to Same-Origin Policy # (can't access the content of an iframe from a another one) async def mark_frames_recursive(frame, frame_bid: str): assert frame_bid == "" or re.match(r"^[a-z][a-zA-Z]*$", frame_bid) logger.debug(f"Marking frame {repr(frame_bid)}") # mark all DOM elements in the frame (it will use the parent frame element's bid as a prefix) warning_msgs = await frame.evaluate( js_frame_mark_elements, [frame_bid, BID_ATTR, tags_to_mark], ) # print warning messages if any for msg in warning_msgs: logger.warning(msg) # recursively mark all descendant frames child_frames = frame.child_frames print(child_frames) for child_frame in child_frames: # deal with detached frames if child_frame.is_detached(): continue # deal with weird frames (pdf viewer in ) child_frame_elem = await child_frame.frame_element() if not (await child_frame_elem.content_frame()) == child_frame: logger.warning(f"Skipping frame '{child_frame.name}' for marking, seems problematic.") continue # deal with sandboxed frames with blocked script execution sandbox_attr = await child_frame_elem.get_attribute("sandbox") if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): continue child_frame_bid = await child_frame_elem.get_attribute(BID_ATTR) if child_frame_bid is None: if lenient: logger.warning("Cannot mark a child frame without a bid. Skipping frame.") continue else: raise MarkingError("Cannot mark a child frame without a bid.") await mark_frames_recursive(child_frame, frame_bid=child_frame_bid) # mark all frames recursively await mark_frames_recursive(page.main_frame, frame_bid="") async def _post_extract(page: playwright.async_api.Page): js_frame_unmark_elements = pkgutil.get_data(__name__, "javascript/frame_unmark_elements.js").decode( "utf-8" ) # we can't run this loop in JS due to Same-Origin Policy # (can't access the content of an iframe from a another one) for frame in page.frames: try: if not frame == page.main_frame: # deal with weird frames (pdf viewer in ) if not await (await frame.frame_element()).content_frame() == frame: logger.warning(f"Skipping frame '{frame.name}' for unmarking, seems problematic.") continue # deal with sandboxed frames with blocked script execution sandbox_attr = await (await frame.frame_element()).get_attribute("sandbox") if sandbox_attr is not None and "allow-scripts" not in sandbox_attr.split(): continue await frame.evaluate(js_frame_unmark_elements) except playwright.async_api.Error as e: if any(msg in str(e) for msg in ("Frame was detached", "Frame has been detached")): pass else: raise e def pop_bids_from_attribute(dom_snapshot, attr: str): try: target_attr_name_id = dom_snapshot["strings"].index(attr) except ValueError: target_attr_name_id = -1 # run the cleanup only if the target attribute string is present if target_attr_name_id > -1: processed_string_ids = set() for document in dom_snapshot["documents"]: for node_attributes in document["nodes"]["attributes"]: i = 0 # find the target attribute, if any for i in range(0, len(node_attributes), 2): attr_name_id = node_attributes[i] attr_value_id = node_attributes[i + 1] if attr_name_id == target_attr_name_id: attr_value = dom_snapshot["strings"][attr_value_id] # remove any data stored in the target attribute if attr_value_id not in processed_string_ids: _, new_attr_value = extract_data_items_from_aria(attr_value) dom_snapshot["strings"][attr_value_id] = ( new_attr_value # update the string in the metadata ) processed_string_ids.add( attr_value_id ) # mark string as processed (in case several nodes share the same target attribute string value) attr_value = new_attr_value # remove target attribute (name and value) if empty if attr_value == "": del node_attributes[i : i + 2] # once target attribute is found, exit the search break def extract_data_items_from_aria(string: str, log_level: int = logging.NOTSET): """ Utility function to extract temporary data stored in the ARIA attributes of a node """ match = __DATA_REGEXP.fullmatch(string) if not match: logger.log( log_level, f"Failed to extract BrowserGym data from ARIA string: {repr(string)}", ) return [], string groups = match.groups() data_items = groups[:-1] original_aria = groups[-1] return data_items, original_aria async def extract_all_frame_axtrees(page: playwright.async_api.Page): """ Extracts the AXTree of all frames (main document and iframes) of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the frame AXTrees. Returns: A dictionnary of AXTrees (as returned by Chrome DevTools Protocol) indexed by frame IDs. """ cdp = await page.context.new_cdp_session(page) # extract the frame tree frame_tree = await cdp.send( "Page.getFrameTree", {}, ) # extract all frame IDs into a list # (breadth-first-search through the frame tree) frame_ids = [] root_frame = frame_tree["frameTree"] frames_to_process = [root_frame] while frames_to_process: frame = frames_to_process.pop() frames_to_process.extend(frame.get("childFrames", [])) # extract the frame ID frame_id = frame["frame"]["id"] frame_ids.append(frame_id) # extract the AXTree of each frame frame_axtrees = { frame_id: await cdp.send( "Accessibility.getFullAXTree", {"frameId": frame_id}, ) for frame_id in frame_ids } await cdp.detach() # extract browsergym data from ARIA attributes for ax_tree in frame_axtrees.values(): for node in ax_tree["nodes"]: data_items = [] # look for data in the node's "roledescription" property if "properties" in node: for i, prop in enumerate(node["properties"]): if prop["name"] == "roledescription": data_items, new_value = extract_data_items_from_aria(prop["value"]["value"]) prop["value"]["value"] = new_value # remove the "description" property if empty if new_value == "": del node["properties"][i] break # look for data in the node's "description" (fallback plan) if "description" in node: data_items_bis, new_value = extract_data_items_from_aria(node["description"]["value"]) node["description"]["value"] = new_value if new_value == "": del node["description"] if not data_items: data_items = data_items_bis # add the extracted "browsergym" data to the AXTree if data_items: (browsergym_id,) = data_items node["browsergym_id"] = browsergym_id return frame_axtrees async def extract_dom_snapshot( page: playwright.async_api.Page, computed_styles=[], include_dom_rects: bool = True, include_paint_order: bool = True, temp_data_cleanup: bool = True, ): """ Extracts the DOM snapshot of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the screenshot. computed_styles: whitelist of computed styles to return. include_dom_rects: whether to include DOM rectangles (offsetRects, clientRects, scrollRects) in the snapshot. include_paint_order: whether to include paint orders in the snapshot. temp_data_cleanup: whether to clean up the temporary data stored in the ARIA attributes. Returns: A document snapshot, including the full DOM tree of the root node (including iframes, template contents, and imported documents) in a flattened array, as well as layout and white-listed computed style information for the nodes. Shadow DOM in the returned DOM tree is flattened. """ cdp = await page.context.new_cdp_session(page) dom_snapshot = await cdp.send( "DOMSnapshot.captureSnapshot", { "computedStyles": computed_styles, "includeDOMRects": include_dom_rects, "includePaintOrder": include_paint_order, }, ) await cdp.detach() # if requested, remove temporary data stored in the ARIA attributes of each node if temp_data_cleanup: pop_bids_from_attribute(dom_snapshot, "aria-roledescription") pop_bids_from_attribute(dom_snapshot, "aria-description") return dom_snapshot async def extract_screenshot(page: playwright.async_api.Page): """ Extracts the screenshot image of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the screenshot. Returns: A screenshot of the page, in the form of a 3D array (height, width, rgb). """ cdp = await page.context.new_cdp_session(page) cdp_answer = await cdp.send( "Page.captureScreenshot", { "format": "png", }, ) await cdp.detach() # bytes of a png file png_base64 = cdp_answer["data"] png_bytes = base64.b64decode(png_base64) with io.BytesIO(png_bytes) as f: # load png as a PIL image img = PIL.Image.open(f) # convert to RGB (3 channels) img = img.convert(mode="RGB") # convert to a numpy array img = np.array(img) return img async def extract_screenshot_base64(page: playwright.async_api.Page): """ Extracts the screenshot image of a Playwright page using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the screenshot. Returns: A screenshot of the page, in the form of a 3D array (height, width, rgb). """ screenshot_bytes = await page.screenshot(full_page=False) png_base64 = base64.b64encode(screenshot_bytes).decode() return png_base64 async def extract_focused_element_bid(page: playwright.async_api.Page): # this JS code will dive through ShadowDOMs extract_focused_element_with_bid_script = """\ () => { // This recursive function traverses shadow DOMs function getActiveElement(root) { const active_element = root.activeElement; if (!active_element) { return null; } if (active_element.shadowRoot) { return getActiveElement(active_element.shadowRoot); } else { return active_element; } } return getActiveElement(document); }""" # this playwright code will dive through iFrames frame = page focused_bid = "" while frame: focused_obj = await frame.evaluate_handle(extract_focused_element_with_bid_script, BID_ATTR) focused_element = focused_obj.as_element() if focused_element: frame = await focused_element.content_frame() focused_bid = await focused_element.get_attribute(BID_ATTR) else: frame = None return focused_bid async def extract_merged_axtree(page: playwright.async_api.Page): """ Extracts the merged AXTree of a Playwright page (main document and iframes AXTrees merged) using Chrome DevTools Protocol. Args: page: the playwright page of which to extract the merged AXTree. Returns: A merged AXTree (same format as those returned by Chrome DevTools Protocol). """ frame_axtrees = await extract_all_frame_axtrees(page) cdp = await page.context.new_cdp_session(page) # merge all AXTrees into one merged_axtree = {"nodes": []} for ax_tree in frame_axtrees.values(): merged_axtree["nodes"].extend(ax_tree["nodes"]) # connect each iframe node to the corresponding AXTree root node for node in ax_tree["nodes"]: if node["role"]["value"] == "Iframe": frame_id = ( (await cdp.send("DOM.describeNode", {"backendNodeId": node["backendDOMNodeId"]})) .get("node", {}) .get("frameId", None) ) if not frame_id: logger.warning( f"AXTree merging: unable to recover frameId of node with backendDOMNodeId {repr(node['backendDOMNodeId'])}, skipping" ) # it seems Page.getFrameTree() from CDP omits certain Frames (empty frames?) # if a frame is not found in the extracted AXTrees, we just ignore it elif frame_id in frame_axtrees: # root node should always be the first node in the AXTree frame_root_node = frame_axtrees[frame_id]["nodes"][0] assert frame_root_node["frameId"] == frame_id node["childIds"].append(frame_root_node["nodeId"]) else: logger.warning( f"AXTree merging: extracted AXTree does not contain frameId '{frame_id}', skipping" ) await cdp.detach() return merged_axtree def extract_dom_extra_properties(dom_snapshot): def to_string(idx): if idx == -1: return None else: return dom_snapshot["strings"][idx] # pre-locate important string ids try: bid_string_id = dom_snapshot["strings"].index(BID_ATTR) except ValueError: bid_string_id = -1 try: vis_string_id = dom_snapshot["strings"].index(VIS_ATTR) except ValueError: vis_string_id = -1 try: som_string_id = dom_snapshot["strings"].index(SOM_ATTR) except ValueError: som_string_id = -1 # build the iframe tree (DFS from the first frame) doc_properties = { 0: { "parent": None, } } docs_to_process = [0] while docs_to_process: doc = docs_to_process.pop(-1) # DFS children = dom_snapshot["documents"][doc]["nodes"]["contentDocumentIndex"] for node, child_doc in zip(children["index"], children["value"]): doc_properties[child_doc] = { "parent": { "doc": doc, # parent frame index "node": node, # node index within the parent frame } } docs_to_process.append(child_doc) # recover the absolute x and y position of the frame node in the parent (if any) parent = doc_properties[doc]["parent"] if parent: parent_doc = parent["doc"] parent_node = parent["node"] try: node_layout_idx = dom_snapshot["documents"][parent_doc]["layout"]["nodeIndex"].index( parent_node ) except ValueError: node_layout_idx = -1 if node_layout_idx >= 0: node_bounds = dom_snapshot["documents"][parent_doc]["layout"]["bounds"][ node_layout_idx ] # can be empty? # absolute position of parent + relative position of frame node within parent parent_node_abs_x = doc_properties[parent_doc]["abs_pos"]["x"] + node_bounds[0] parent_node_abs_y = doc_properties[parent_doc]["abs_pos"]["y"] + node_bounds[1] else: parent_node_abs_x = 0 parent_node_abs_y = 0 else: parent_node_abs_x = 0 parent_node_abs_y = 0 # get the frame's absolute position, by adding any scrolling offset if any doc_properties[doc]["abs_pos"] = { "x": parent_node_abs_x - dom_snapshot["documents"][doc]["scrollOffsetX"], "y": parent_node_abs_y - dom_snapshot["documents"][doc]["scrollOffsetY"], } document = dom_snapshot["documents"][doc] doc_properties[doc]["nodes"] = [ { "bid": None, # default value, to be filled (str) "visibility": None, # default value, to be filled (float) "bbox": None, # default value, to be filled (list) "clickable": False, # default value, to be filled (bool) "set_of_marks": None, # default value, to be filled (bool) } for _ in enumerate(document["nodes"]["parentIndex"]) ] # all nodes in document # extract clickable property for node_idx in document["nodes"]["isClickable"]["index"]: doc_properties[doc]["nodes"][node_idx]["clickable"] = True # extract bid and visibility properties (attribute-based) for node_idx, node_attrs in enumerate(document["nodes"]["attributes"]): i = 0 # loop over all attributes for i in range(0, len(node_attrs), 2): name_string_id = node_attrs[i] value_string_id = node_attrs[i + 1] if name_string_id == bid_string_id: doc_properties[doc]["nodes"][node_idx]["bid"] = to_string(value_string_id) if name_string_id == vis_string_id: doc_properties[doc]["nodes"][node_idx]["visibility"] = float(to_string(value_string_id)) if name_string_id == som_string_id: doc_properties[doc]["nodes"][node_idx]["set_of_marks"] = to_string(value_string_id) == "1" # extract bbox property (in absolute coordinates) for node_idx, bounds, client_rect in zip( document["layout"]["nodeIndex"], document["layout"]["bounds"], document["layout"]["clientRects"], ): # empty clientRect means element is not actually rendered if not client_rect: doc_properties[doc]["nodes"][node_idx]["bbox"] = None else: # bounds gives the relative position within the document doc_properties[doc]["nodes"][node_idx]["bbox"] = bounds.copy() # adjust for absolute document position doc_properties[doc]["nodes"][node_idx]["bbox"][0] += doc_properties[doc]["abs_pos"]["x"] doc_properties[doc]["nodes"][node_idx]["bbox"][1] += doc_properties[doc]["abs_pos"]["y"] # Note: other interesting fields # document["nodes"]["parentIndex"] # parent node # document["nodes"]["nodeType"] # document["nodes"]["nodeName"] # document["nodes"]["nodeValue"] # document["nodes"]["textValue"] # document["nodes"]["inputValue"] # document["nodes"]["inputChecked"] # document["nodes"]["optionSelected"] # document["nodes"]["pseudoType"] # document["nodes"]["pseudoIdentifier"] # document["nodes"]["isClickable"] # document["textBoxes"] # document["layout"]["nodeIndex"] # document["layout"]["bounds"] # document["layout"]["offsetRects"] # document["layout"]["scrollRects"] # document["layout"]["clientRects"] # document["layout"]["paintOrders"] # collect the extra properties of all nodes with a browsergym_id attribute extra_properties = {} for doc in doc_properties.keys(): for node in doc_properties[doc]["nodes"]: bid = node["bid"] if bid: if bid in extra_properties: logger.warning(f"duplicate {BID_ATTR}={repr(bid)} attribute detected") extra_properties[bid] = { extra_prop: node[extra_prop] for extra_prop in ("visibility", "bbox", "clickable", "set_of_marks") } return extra_properties ================================================ FILE: src/cuga/backend/browser_env/page_understanding/extractor_utils/javascript/frame_mark_elements.js ================================================ /** * Go through all DOM elements in the frame (including shadowDOMs), give them unique browsergym * identifiers (bid), and store custom data in ARIA attributes. */ async ([parent_bid, bid_attr_name, tags_to_mark]) => { // standard html tags // https://www.w3schools.com/tags/ const html_tags = new Set([ "a", "abbr", "acronym", "address", "applet", "area", "article", "aside", "audio", "b", "base", "basefont", "bdi", "bdo", "big", "blockquote", "body", "br", "button", "canvas", "caption", "center", "cite", "code", "col", "colgroup", "data", "datalist", "dd", "del", "details", "dfn", "dialog", "dir", "div", "dl", "dt", "em", "embed", "fieldset", "figcaption", "figure", "font", "footer", "form", "frame", "frameset", "h1", "h2", "h3", "h4", "h5", "h6", "head", "header", "hgroup", "hr", "html", "i", "iframe", "img", "input", "ins", "kbd", "label", "legend", "li", "link", "main", "map", "mark", "menu", "meta", "meter", "nav", "noframes", "noscript", "object", "ol", "optgroup", "option", "output", "p", "param", "picture", "pre", "progress", "q", "rp", "rt", "ruby", "s", "samp", "script", "search", "section", "select", "small", "source", "span", "strike", "strong", "style", "sub", "summary", "sup", "svg", "table", "tbody", "td", "template", "textarea", "tfoot", "th", "thead", "time", "title", "tr", "track", "tt", "u", "ul", "var", "video", "wbr" ]); const set_of_marks_tags = new Set([ "input", "textarea", "select", "button", "a", "iframe", "video", "li", "td", "option" ]); let browsergym_first_visit = false; // if no yet set, set the frame (local) element counter to 0 if (!("browsergym_elem_counter" in window)) { window.browsergym_elem_counter = 0; window.browsergym_frame_id_generator = new IFrameIdGenerator(); browsergym_first_visit = true; } // mechanism for computing all element's visibility // the intersection observer will set the visibility ratio of elements entering / exiting the viewport // a set is used to keep track of not-yet-visited elements let elems_to_be_visited = new Set(); let intersection_observer = new IntersectionObserver( entries => { entries.forEach(entry => { let elem = entry.target; elem.setAttribute('browsergym_visibility_ratio', Math.round(entry.intersectionRatio * 100) / 100); if (elems_to_be_visited.has(elem)) { elems_to_be_visited.delete(elem); } }) }, { threshold: [0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0] } ) let all_bids = new Set(); // get all DOM elements in the current frame (does not include elements in shadowDOMs) let elements = Array.from(document.querySelectorAll('*')); let som_buttons = []; i = 0; while (i < elements.length) { const elem = elements[i]; // add shadowDOM elements to the elements array, in such a way that order is preserved // TODO: do we really need the order preserved? if (elem.shadowRoot !== null) { elements = new Array( ...Array.prototype.slice.call(elements, 0, i + 1), ...Array.from(elem.shadowRoot.querySelectorAll("*")), ...Array.prototype.slice.call(elements, i + 1) ); } i++; // decide if the current element should be marked or not switch (tags_to_mark) { // mark all elements case "all": break; // mark only standard HTML tags case "standard_html": if (!elem.tagName || !html_tags.has(elem.tagName.toLowerCase())) { // continue the loop, i.e., move on to the next element continue; } break; // non-recognized argument default: throw new Error(`Invalid value for parameter \"tags_to_mark\": ${JSON.stringify(tags_to_mark)}`); } // Processing element // register intersection callback on element, and keep track of element for waiting later elem.setAttribute('browsergym_visibility_ratio', 0); elems_to_be_visited.add(elem); intersection_observer.observe(elem); // write dynamic element values to the DOM if (typeof elem.value !== 'undefined') { elem.setAttribute("value", elem.value); } // write dynamic checked properties to the DOM if (typeof elem.checked !== 'undefined') { if (elem.checked === true) { elem.setAttribute("checked", ""); } else { elem.removeAttribute("checked"); } } // add the element global id (browsergym id) to a custom HTML attribute // https://playwright.dev/docs/locators#locate-by-test-id // recover the element id if it has one already, else compute a new element id let elem_global_bid = null; if (elem.hasAttribute(bid_attr_name)) { // throw an error if the attribute is already set while this is the first visit of the page if (browsergym_first_visit) { throw new Error(`Attribute ${bid_attr_name} already used in element ${elem.outerHTML}`); } elem_global_bid = elem.getAttribute(bid_attr_name); // if the bid has already been encountered, then this is a duplicate and a new bid should be set if (all_bids.has(elem_global_bid)) { console.log(`BrowserGym: duplicate bid ${elem_global_bid} detected, generating a new one`); elem_global_bid = null; } } if (elem_global_bid === null) { let elem_local_id = null; // iFrames get alphabetical ids: 'a', 'b', ..., 'z', 'aA', 'aB' etc. if (['iframe', 'frame'].includes(elem.tagName.toLowerCase())) { elem_local_id = `${window.browsergym_frame_id_generator.next()}`; } // other elements get numerical ids: '0', '1', '2', ... else { elem_local_id = `${window.browsergym_elem_counter++}`; } if (parent_bid == "") { elem_global_bid = `${elem_local_id}`; } else { elem_global_bid = `${parent_bid}${elem_local_id}`; } elem.setAttribute(bid_attr_name, `${elem_global_bid}`); } all_bids.add(elem_global_bid); // Hack: store custom data inside ARIA attributes (will be available in DOM and AXTree) // - elem_global_bid: global element identifier (unique over multiple frames) // TODO: add more data if needed (x, y coordinates, bounding box, is_visible, is_clickable etc.) push_bid_to_attribute(elem_global_bid, elem, "aria-roledescription"); push_bid_to_attribute(elem_global_bid, elem, "aria-description"); // fallback for generic nodes // set-of-marks flag (He et al. 2024) // https://github.com/MinorJerry/WebVoyager/blob/main/utils.py elem.setAttribute("browsergym_set_of_marks", "0"); // click at center activates self or a child if (["self", "child"].includes(whoCapturesCenterClick(elem))) { // has valid tag name, or has click event, or triggers a pointer cursor if (set_of_marks_tags.has(elem.tagName.toLowerCase()) || (elem.onclick != null) || (window.getComputedStyle(elem).cursor == "pointer")) { let rect = elem.getBoundingClientRect(); let area = (rect.right - rect.left) * (rect.bottom - rect.top); // area is large enough if (area >= 20) { // is not a child of a button (role, type, tag) set to be marked if (som_buttons.every(button => !button.contains(elem))) { // is not the sole child of span that has a role and is set to be marked let parent = elem.parentElement; if (!(parent && parent.tagName.toLowerCase() == "span" && parent.children.length === 1 && parent.getAttribute("role") && parent.getAttribute("browsergym_set_of_marks") === "1")) { // all checks have passed, flag the element for inclusion in set-of-marks elem.setAttribute("browsergym_set_of_marks", "1"); if (elem.matches('button, a, input[type="button"], div[role="button"]')) { som_buttons.push(elem) } // lastly, remove the set-of-marks flag from all parents, if any while (parent) { if (parent.getAttribute("browsergym_set_of_marks") === "1") { parent.setAttribute("browsergym_set_of_marks", "0") } parent = parent.parentElement; } } } } } } } warning_msgs = new Array(); // wait for all elements to be visited for visibility let visibility_marking_timeout = 1000; // ms try { await until(() => elems_to_be_visited.size == 0, visibility_marking_timeout); } catch { warning_msgs.push(`Frame marking: not all elements have been visited by the intersection_observer after ${visibility_marking_timeout} ms`); } // disconnect intersection observer intersection_observer.disconnect(); return warning_msgs; } async function until(f, timeout, interval=40) { return new Promise((resolve, reject) => { const start_time = Date.now(); // immediate check if (f()) { resolve(); } // loop check const wait = setInterval(() => { if (f()) { clearInterval(wait); resolve(); } else if (Date.now() - start_time > timeout) { clearInterval(wait); reject(); } }, interval); }); } function whoCapturesCenterClick(element){ var rect = element.getBoundingClientRect(); var x = (rect.left + rect.right) / 2 ; var y = (rect.top + rect.bottom) / 2 ; var element_at_center = elementFromPoint(x, y); // return the element in the foreground at position (x,y) if (!element_at_center) { return "nobody"; } else if (element_at_center === element) { return "self"; } else if (element.contains(element_at_center)) { return "child"; } else { return "non-descendant"; } } function push_bid_to_attribute(bid, elem, attr){ let original_content = ""; if (elem.hasAttribute(attr)) { original_content = elem.getAttribute(attr); } let new_content = `browsergym_id_${bid} ${original_content}` elem.setAttribute(attr, new_content); } function elementFromPoint(x, y) { let dom = document; let last_elem = null; let elem = null; do { last_elem = elem; elem = dom.elementFromPoint(x, y); dom = elem?.shadowRoot; } while(dom && elem !== last_elem); return elem; } // https://stackoverflow.com/questions/12504042/what-is-a-method-that-can-be-used-to-increment-letters#answer-12504061 class IFrameIdGenerator { constructor(chars = 'abcdefghijklmnopqrstuvwxyz') { this._chars = chars; this._nextId = [0]; } next() { const r = []; for (let i = 0; i < this._nextId.length; i++) { let char = this._chars[this._nextId[i]]; // all but first character must be upper-cased (a, aA, bCD) if (i < this._nextId.length - 1) { char = char.toUpperCase(); } r.unshift(char); } this._increment(); return r.join(''); } _increment() { for (let i = 0; i < this._nextId.length; i++) { const val = ++this._nextId[i]; if (val < this._chars.length) { return; } this._nextId[i] = 0; } this._nextId.push(0); } *[Symbol.iterator]() { while (true) { yield this.next(); } } } ================================================ FILE: src/cuga/backend/browser_env/page_understanding/extractor_utils/javascript/frame_unmark_elements.js ================================================ /** * Go through all DOM elements in the frame (including shadowDOMs), * and cleanup previously stored data in ARIA attributes. */ () => { // get all DOM elements in the current frame (does not include elements in shadowDOMs) let elements = Array.from(document.querySelectorAll('*')); let i = 0; while (i < elements.length) { const elem = elements[i]; // add shadowDOM elements to the elements array, in such a way that order is preserved // TODO: do we really need the order preserved? if (elem.shadowRoot !== null) { elements = new Array( ...Array.prototype.slice.call(elements, 0, i + 1), ...Array.from(elem.shadowRoot.querySelectorAll("*")), ...Array.prototype.slice.call(elements, i + 1) ); } i++; // Hack: remove custom data stored in ARIA attributes // - elem_global_id: global browsergym identifier pop_bid_from_attribute(elem, "aria-description"); pop_bid_from_attribute(elem, "aria-roledescription"); // fallback for generic nodes } } function pop_bid_from_attribute(elem, attr) { let bid_regex = /^browsergym_id[^\s]*\s/; if (elem.hasAttribute(attr)) { let content = elem.getAttribute(attr); let original_content = content.replace(bid_regex, ''); if (original_content) { elem.setAttribute(attr, original_content); } else { elem.removeAttribute(attr); } } } ================================================ FILE: src/cuga/backend/browser_env/page_understanding/nocodeui_pu_utils/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/page_understanding/nocodeui_pu_utils/model.py ================================================ import uuid from typing import Any, Generic, Optional, TypeVar from pydantic import BaseModel, ConfigDict, Field TCommand = TypeVar("TCommand", bound=BaseModel) TResponse = TypeVar("TResponse") class Rule(BaseModel): color: str name: str type: str class DOMRect(BaseModel): x: float y: float width: float height: float class Html(BaseModel): attributes: dict boundingRect: DOMRect outerText: str tagName: str class Match(BaseModel): rule: Rule selector: str class Text(BaseModel): value: str source: str class ElementSelector(BaseModel): generated: str model_config = ConfigDict(extra="allow") class InterestingElement(BaseModel): id: str html: Html match: Match selectors: ElementSelector text: Text nearbyLabels: list["InterestingElement"] class AnalyzePageResponse(BaseModel): output: dict map: dict[str, InterestingElement] class BrowserTab(BaseModel): id: int index: int active: bool url: Optional[str] = None title: Optional[str] = None windowId: Optional[int] = None class StateResponse(BaseModel): tab: Optional[BrowserTab] = None pageAnalysis: Optional["AnalyzePageResponse"] = None class StateCommand(BaseModel): rules: Optional[list[dict]] = None tabId: Optional[int] windowId: Optional[int] timeout: Optional[float] type: str id: str = Field(default_factory=lambda: str(uuid.uuid4())) model_config = ConfigDict(use_enum_values=True) def __init__( self, tabId: Optional[int] = None, windowId: Optional[int] = None, timeout: Optional[float] = None, rules: Optional[list[dict]] = None, ) -> None: """Cretes the state command. Args: ``tabId``: The tab id to perform the command. ``windowId``: The window id to perform the command. If ``tabId`` is specified, then ``windowId`` is ignored. ``timeout``: The timeout in seconds to wait for the response. """ super().__init__( type="pu.browser.state", tabId=tabId, windowId=windowId, timeout=timeout * 1000 if timeout else None, rules=rules, ) class Response(BaseModel, Generic[TResponse]): id: str error: Optional[Any] = None data: Optional[TResponse] = None _JS_CODE = """ async (command) => { command = JSON.parse(command); console.log(`Executing command '${command.type}':`, command); const response = await globalThis.ibm.runtime.execute(command); console.log(`Command '${command.type}' returned:`, response); return JSON.stringify(response); } """ ================================================ FILE: src/cuga/backend/browser_env/page_understanding/nocodeui_pu_utils/nocode_utils.py ================================================ import json import os from typing import Any import yaml from playwright.async_api import BrowserContext as BrowserExtensionAsync from playwright.async_api import Worker from .model import ( _JS_CODE, AnalyzePageResponse, Response, StateCommand, StateResponse, TCommand, TResponse, ) async def _ensure_worker(browser_context, target_extension_id: str) -> Worker: """ Ensure and return the Service Worker for the specified extension. Args: browser_context: The browser context to inspect. target_extension_id: The ID of the extension whose Service Worker you want. Returns: The correct Service Worker instance. """ # Wait for service workers if not already available if len(browser_context.service_workers) == 0: await browser_context.wait_for_event("serviceworker") # Filter service workers based on the target extension ID for worker in browser_context.service_workers: if target_extension_id in worker.url: return worker # If no match is found, wait for a new Service Worker matching the criteria return await browser_context.wait_for_event( "serviceworker", lambda worker: target_extension_id in worker.url ) async def execute_on_extension_async( browser_context: BrowserExtensionAsync, js_code: str, command: dict[str, Any] ) -> dict[str, Any]: """ Evaluates the specified javascript code in the extension context, passing the `command` as a parameter of the evaluation, returning the response serialized as `dict`. """ async def _ensure_worker() -> Worker: if len(browser_context.service_workers) == 0: return await browser_context.wait_for_event("serviceworker") else: return browser_context.service_workers[0] worker = await _ensure_worker() response = await worker.evaluate(js_code, json.dumps(command)) json_data = json.loads(response) return json_data async def execute_command_sync( browser_context: BrowserExtensionAsync, command: TCommand, responseType: type[TResponse] ) -> TResponse: json_data = await execute_on_extension_async( browser_context, js_code=_JS_CODE, command=command.model_dump() ) command_response = Response[responseType](**json_data) return command_response.data async def analyze_current_page_async( browser_context: BrowserExtensionAsync, ) -> AnalyzePageResponse: current_dir = os.path.dirname(os.path.abspath(__file__)) rules = yaml.safe_load(open(os.path.join(current_dir, 'rules.yaml'))) response = await execute_command_sync( browser_context, StateCommand(timeout=10, rules=rules), StateResponse ) out_map = {} for _, obj in response.pageAnalysis.map.items(): if 'bid' not in obj.html.attributes.keys(): pass # print("Warning: Pu Mapping for an element failed since bid wasn't found on its attribues") else: out_map[obj.html.attributes['bid']] = obj response.pageAnalysis.map = out_map return response.pageAnalysis ================================================ FILE: src/cuga/backend/browser_env/page_understanding/nocodeui_pu_utils/rules.yaml ================================================ - name: misc_rule selector: .modal-container,[accessible-role="Dialog"],[role="dialog"],.slds-modal__container color: red type: modal - name: group_rule selector: form,records-record-layout-section,div[role="dialog"] color: red type: form - name: group_rule selector: tbody tr color: blue type: table_row - name: group_rule selector: thead tr color: green type: table_header - name: group_rule selector: nav,div[role="tablist"] color: aqua type: navigation - name: group_rule selector: .jobreqcard,.rcmIntwCandCard color: aqua section_name: card type: section - name: group_rule selector: ul,ol color: fuchsia type: list - name: rule selector: input[type="text"],input[type="password"],input[type="email"],input[type="text"],input:not([type]),input[type="search"],input[type="textarea"],div[role="textbox"],textarea,[contenteditable=true],.slds-rich-text-area__content color: Maroon type: input - name: rule selector: input[type='checkbox'],.fd-checkbox__label-container color: olive type: checkbox - name: rule selector: input[type='radio'] color: purple type: radio - name: rule selector: a:not(:has(a)),[role="link"],a .primaryLabel color: teal type: link - name: rule selector: label,legend,.field_label span.text color: black type: label - name: rule selector: select,.CustomFilter__dropdown,[role="combobox"],.MuiSelect-select color: orange type: select_toggle - name: rule selector: option,[role="option"] color: pink type: select_option - name: rule selector: h1,h2,h3,h4,h5,h6 color: violet type: title - name: rule selector: button,input[type='button'],input[type='submit'],.oxd-topbar-body-nav-tab,.ant-tag,.TabBar__item,[role="button"],[onclick] color: green type: button ================================================ FILE: src/cuga/backend/browser_env/page_understanding/pu_extractor.py ================================================ import asyncio from typing import Dict, Literal, Optional from markdownify import markdownify from loguru import logger from playwright.async_api import BrowserContext from playwright.async_api import Error as PlaywrightError from playwright.async_api import Page from pydantic import BaseModel from cuga.backend.utils.consts import EXTRACT_OBS_MAX_TRIES from cuga.backend.browser_env.page_understanding.extractor_utils.extract_async import ( MarkingError, _post_extract, _pre_extract, extract_dom_extra_properties, extract_dom_snapshot, extract_focused_element_bid, extract_merged_axtree, extract_screenshot_base64, ) from cuga.backend.browser_env.page_understanding.nocodeui_pu_utils.model import AnalyzePageResponse from cuga.backend.browser_env.page_understanding.nocodeui_pu_utils.nocode_utils import ( analyze_current_page_async, ) class PUExtracted(BaseModel): accessibility_tree: Optional[Dict] = None dom_object: Optional[Dict] = None focused_element_bid: Optional[str] = None img: Optional[str] = None extra_properties: Optional[Dict] = None nocodeui_pu: Optional[AnalyzePageResponse] = None page_content_as_str: Optional[str] = None screenshot: str class PageUnderstandingExtractor: def __init__( self, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False ): self.tags_to_mark = tags_to_mark self.lenient = lenient async def extract(self, context: BrowserContext, page: Page, nocodeui_pu: bool = False) -> PUExtracted: dom = None axtree = None extra_properties = None nocodeui_pu = None focused_element_bid = None img = None page_content = None for retries_left in reversed(range(EXTRACT_OBS_MAX_TRIES)): try: # pre-extraction, mark dom elements (set bid, set dynamic attributes like value and checked) await _pre_extract(page, tags_to_mark=self.tags_to_mark, lenient=(retries_left == 0)) dom = await extract_dom_snapshot(page) axtree = await extract_merged_axtree(page) focused_element_bid = await extract_focused_element_bid(page) extra_properties = extract_dom_extra_properties(dom) img = await extract_screenshot_base64(page) page_content = markdownify(await page.inner_html("body")) if nocodeui_pu: nocodeui_pu = await analyze_current_page_async(context) except (PlaywrightError, MarkingError) as e: err_msg = str(e) # try to add robustness to async events (detached / deleted frames) if retries_left > 0 and ( "Frame was detached" in err_msg or "Frame with the given frameId is not found" in err_msg or "Execution context was destroyed" in err_msg or "Frame has been detached" in err_msg or "Cannot mark a child frame without a bid" in err_msg ): logger.warning( f"An error occurred while extracting the dom and axtree. Retrying ({retries_left}/{EXTRACT_OBS_MAX_TRIES} tries left).\n{repr(e)}" ) # post-extract cleanup (ARIA attributes) await _post_extract(page) await asyncio.sleep(0.5) continue else: raise e break await _post_extract(page) screenshot = await extract_screenshot_base64(page) return PUExtracted( screenshot=screenshot, dom_object=dom, focused_element_bid=focused_element_bid, extra_properties=extra_properties, img=img, page_content_as_str=page_content, nocodeui_pu=nocodeui_pu, accessibility_tree=axtree, ) ================================================ FILE: src/cuga/backend/browser_env/page_understanding/pu_extractor_chrome_extension.py ================================================ from typing import Dict, Literal, Optional, Protocol, runtime_checkable from markdownify import markdownify from loguru import logger from pydantic import BaseModel from cuga.backend.browser_env.browser.gym_obs.extract_chrome_extension import ( ChromeExtensionCommunicator, ChromeExtensionError, full_extract_chrome_extension, ) from cuga.backend.browser_env.browser.gym_obs.http_stream_comm import ChromeExtensionCommunicatorProtocol from cuga.backend.browser_env.page_understanding.types.dom_tree_types import DomTreeResult @runtime_checkable class PUExtractedResultProtocol(Protocol): """ Structural protocol for Page Understanding extraction results. Allows alternative result implementations to be used anywhere a PUExtractedChromeExtension instance is expected. """ accessibility_tree: Optional[Dict] dom_object: Optional[Dict] dom_tree: Optional[DomTreeResult] focused_element_bid: Optional[str] img: Optional[str] extra_properties: Optional[Dict] nocodeui_pu: Optional[Dict] page_content_as_str: Optional[str] screenshot: str url: Optional[str] page_title: Optional[str] @runtime_checkable class PageUnderstandingExtractorProtocol(Protocol): """ Structural protocol for Page Understanding extractors. Allows injection of alternative extractor implementations. """ async def extract(self, nocodeui_pu: bool = False) -> PUExtractedResultProtocol: ... async def extract_simple(self) -> Dict: ... async def health_check(self) -> bool: ... class PUExtractedChromeExtension(BaseModel): """ Chrome extension-based page understanding extraction result """ accessibility_tree: Optional[Dict] = None dom_object: Optional[Dict] = None dom_tree: Optional[DomTreeResult] = None focused_element_bid: Optional[str] = None img: Optional[str] = None extra_properties: Optional[Dict] = None nocodeui_pu: Optional[Dict] = None # Not supported in Chrome extension mode page_content_as_str: Optional[str] = None screenshot: str url: Optional[str] = None page_title: Optional[str] = None class PageUnderstandingExtractorChromeExtension: """ Chrome extension-based page understanding extractor """ def __init__( self, communicator: ChromeExtensionCommunicatorProtocol, tags_to_mark: Literal["all", "standard_html"] = "standard_html", lenient: bool = False, ): self.tags_to_mark = tags_to_mark self.lenient = lenient self.communicator = communicator async def __aenter__(self): """Async context manager entry""" self.communicator = ChromeExtensionCommunicator() await self.communicator.__aenter__() # Wait for Chrome extension to connect await self.communicator.wait_for_connection(timeout=15.0) return self async def __aexit__(self, exc_type, exc_val, exc_tb): """Async context manager exit""" if self.communicator: await self.communicator.__aexit__(exc_type, exc_val, exc_tb) async def extract(self, nocodeui_pu: bool = False) -> PUExtractedResultProtocol: """ Extract page understanding data using Chrome extension Args: context: Ignored in Chrome extension mode (kept for compatibility) page: Ignored in Chrome extension mode (kept for compatibility) nocodeui_pu: Not supported in Chrome extension mode Returns: PUExtractedChromeExtension: Extracted page data """ if not self.communicator: raise ChromeExtensionError("Communicator not initialized. Use async context manager.") if nocodeui_pu: logger.warning("nocodeui_pu is not supported in Chrome extension mode") try: # Perform full extraction using Chrome extension extraction_result = await full_extract_chrome_extension( communicator=self.communicator, tags_to_mark=self.tags_to_mark, lenient=self.lenient, max_retries=3, ) page_content_str = "" if extraction_result.get("page_content"): page_content_str = markdownify(extraction_result["page_content"]) # Process DOM tree data dom_tree_data = extraction_result.get("dom_tree") dom_tree_result = None if dom_tree_data: try: dom_tree_result = DomTreeResult(**dom_tree_data) except Exception as e: logger.warning(f"Failed to parse DOM tree data: {e}") dom_tree_result = None # Create result object result = PUExtractedChromeExtension( screenshot=extraction_result.get("screenshot", ""), dom_object=extraction_result.get("dom_snapshot", {}), dom_tree=dom_tree_result, focused_element_bid=extraction_result.get("focused_element_bid", ""), extra_properties=extraction_result.get("extra_properties", {}), img=extraction_result.get("screenshot", ""), # Use screenshot as img page_content_as_str=page_content_str, nocodeui_pu=None, # Not supported in Chrome extension mode accessibility_tree=extraction_result.get("accessibility_tree", {}), url=extraction_result.get("page_url", ""), page_title=extraction_result.get("page_title", ""), ) return result except Exception as e: logger.error(f"Chrome extension extraction failed: {str(e)}") raise ChromeExtensionError(f"Extraction failed: {str(e)}") async def extract_simple(self) -> Dict: """ Simple extraction method that returns a dictionary (for backward compatibility) Returns: Dict: Extracted data as dictionary """ result = await self.extract() return result.model_dump() async def health_check(self) -> bool: """ Check if the Chrome extension is responding Returns: bool: True if extension is healthy, False otherwise """ if not self.communicator: return False try: return await self.communicator.ping() except Exception: return False ================================================ FILE: src/cuga/backend/browser_env/page_understanding/pu_processor.py ================================================ import importlib from typing import Any, Dict from playwright.async_api import BrowserContext, Page from cuga.config import settings from cuga.backend.browser_env.page_understanding.pu_extractor import PUExtracted from cuga.backend.browser_env.page_understanding.pu_transform import PuAnswer class PageUnderstandingProcessor: def __init__(self, extractor: Any): self.extractor = extractor self._data = None # Internal state to store extracted data self.transformer = None self.load_transformer(settings.page_understanding.transformer_path) async def extract(self, context: BrowserContext, page: Page, config: Dict = {}) -> PUExtracted: """Extract data and store it internally.""" self._data = await self.extractor.extract(context, page, **config) return self._data def load_transformer(self, transformer_path: str, transformer_params: Dict = {}) -> None: """Dynamically load a transformer class from a module.""" try: module_name, class_name = transformer_path.rsplit(".", 1) module = importlib.import_module(module_name) transformer_class = getattr(module, class_name) self.transformer = transformer_class() except (ImportError, AttributeError) as e: raise ImportError(f"Could not import transformer '{transformer_path}': {e}") async def transform(self, transformer_params: Dict = {}) -> PuAnswer: """Transform the previously extracted data.""" if self._data is None: raise ValueError("No data has been extracted yet. Call `extract()` first.") if self.transformer is None: raise ValueError("No transformer has been loaded. Load a transformer first.") return await self.transformer.transform(self._data, **transformer_params) ================================================ FILE: src/cuga/backend/browser_env/page_understanding/pu_transform.py ================================================ import logging from typing import Optional from pydantic import BaseModel from cuga.backend.browser_env.page_understanding.pu_extractor import PUExtracted from cuga.backend.browser_env.page_understanding.tranformer_utils.transform_utils import flatten_axtree_to_str class PuAnswer(BaseModel): string_representation: str key_value_map: dict focused_element_bid: Optional[str] = None img: str page_content: str class PageUnderstandingV1: def __init__(self): pass async def transform(self, pu_extracted: PUExtracted, filter_visible_only=True) -> PuAnswer: if pu_extracted is None: err_msg = "Extracted pu is None please call `.extract()` first" logging.error(err_msg) raise Exception(err_msg) return PuAnswer( string_representation=flatten_axtree_to_str( AX_tree=pu_extracted.accessibility_tree, extra_properties=pu_extracted.extra_properties, filter_visible_only=filter_visible_only, ), focused_element_bid=pu_extracted.focused_element_bid, page_content=pu_extracted.page_content_as_str, img="data:image/png;base64,{}".format(pu_extracted.img), key_value_map={}, ) ================================================ FILE: src/cuga/backend/browser_env/page_understanding/tranformer_utils/__init__.py ================================================ ================================================ FILE: src/cuga/backend/browser_env/page_understanding/tranformer_utils/dom_transform_utils.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import ast from ..types.dom_tree_types import DomTreeResult, NodeData, TextNodeData IGNORED_DOM_TAGS = ["br"] IGNORED_DOM_ATTRIBUTES = ( "style", "data-testid", "data-reactid", "data-react-checksum", ) REMOVE_ATTRIBUTES = True def flatten_domtree_to_str( dom_tree: DomTreeResult, extra_properties: dict = None, with_visible: bool = False, with_clickable: bool = False, with_center_coords: bool = False, with_bounding_box_coords: bool = False, with_som: bool = False, skip_generic: bool = True, filter_visible_only: bool = False, filter_with_bid_only: bool = False, filter_som_only: bool = False, coord_decimals: int = 0, ignored_tags=IGNORED_DOM_TAGS, ignored_attributes=IGNORED_DOM_ATTRIBUTES, remove_redundant_text: bool = True, hide_bid_if_invisible: bool = False, hide_all_children: bool = False, hide_all_bids: bool = False, include_xpath: bool = False, ) -> str: """Formats the DOM tree into a string text similar to accessibility tree format""" def dfs(node_id: str, depth: int, parent_node_filtered: bool, parent_node_name: str) -> str: tree_str = "" node = dom_tree.get_node(node_id) if node is None: return tree_str indent = "\t" * depth skip_node = False # node will not be printed, with no effect on children nodes filter_node = False # node will not be printed, possibly along with its children nodes # Handle text nodes if isinstance(node, TextNodeData): node_text = node.text.strip() if not node_text: skip_node = True elif parent_node_filtered: skip_node = True elif remove_redundant_text and node_text in parent_node_name: skip_node = True elif filter_visible_only and not node.is_visible: skip_node = True if not skip_node: tree_str += f'{indent}text "{node_text}"' return tree_str # Handle element nodes elif isinstance(node, NodeData): node_tag = node.tag_name.lower() node_name = "" node_value = None # Extract name from various attributes if "title" in node.attributes and node.attributes["title"]: node_name = node.attributes["title"] elif "alt" in node.attributes and node.attributes["alt"]: node_name = node.attributes["alt"] elif "placeholder" in node.attributes and node.attributes["placeholder"]: node_name = node.attributes["placeholder"] elif "value" in node.attributes and node.attributes["value"]: node_value = node.attributes["value"] node_name = node_value elif "aria-label" in node.attributes and node.attributes["aria-label"]: node_name = node.attributes["aria-label"] elif "id" in node.attributes and node.attributes["id"]: node_name = node.attributes["id"] elif "class" in node.attributes and node.attributes["class"]: node_name = node.attributes["class"] # Check if we should skip this tag if node_tag in ignored_tags: skip_node = True # Extract bid (assuming it might be in attributes or highlight_index) bid = node.dom_tree_id if node.dom_tree_id is not None else None # Extract node attributes attributes = [] for attr_name, attr_value in node.attributes.items(): if attr_name in ignored_attributes or attr_value is None: continue elif attr_name in ("required", "disabled", "checked", "selected"): if attr_value == "true" or attr_value == attr_name: attributes.append(attr_name) elif attr_name not in ("title", "alt", "placeholder", "value", "aria-label", "id", "class"): # Only include non-name attributes attributes.append(f"{attr_name}={repr(attr_value)}") # Add DOM-specific attributes if node.is_interactive: attributes.append("interactive") if include_xpath: attributes.append(f'xpath="{node.xpath}"') if not node.highlight_index: skip_node = True if skip_generic and node_tag == "div" and not attributes and not node_name: skip_node = True if hide_all_children and parent_node_filtered: skip_node = True # Process bid-related filtering and attributes filter_node, extra_attributes_to_print = _process_bid_dom( bid, node, extra_properties=extra_properties, with_visible=with_visible, with_clickable=with_clickable, with_center_coords=with_center_coords, with_bounding_box_coords=with_bounding_box_coords, with_som=with_som, filter_visible_only=filter_visible_only, filter_with_bid_only=filter_with_bid_only, filter_som_only=filter_som_only, coord_decimals=coord_decimals, ) # if either is True, skip the node skip_node = skip_node or filter_node # insert extra attributes before regular attributes attributes = extra_attributes_to_print + attributes # actually print the node string if not skip_node: if not node_name: node_str = f"{node_tag}" else: node_str = f"{node_tag} {repr(node_name.strip())}" if not ( hide_all_bids or bid is None or ( hide_bid_if_invisible and extra_properties and extra_properties.get(bid, {}).get("visibility", 0) < 0.5 ) ): node_str = f"[{bid}] " + node_str if node_value is not None and node_value != node_name: node_str += f' value={repr(node_value)}' if not REMOVE_ATTRIBUTES and attributes: node_str += ", ".join([""] + attributes) tree_str += f"{indent}{node_str}" # Process children for child_id in node.children: if child_id == node_id: # avoid self-reference continue child_depth = depth if skip_node else (depth + 1) child_str = dfs( child_id, child_depth, parent_node_filtered=filter_node, parent_node_name=node_name, ) if child_str: if tree_str: tree_str += "\n" tree_str += child_str return tree_str tree_str = dfs(dom_tree.root_id, 0, False, "") return tree_str def _process_bid_dom( bid, node: NodeData, extra_properties: dict = None, with_visible: bool = False, with_clickable: bool = False, with_center_coords: bool = False, with_bounding_box_coords: bool = False, with_som: bool = False, filter_visible_only: bool = False, filter_with_bid_only: bool = False, filter_som_only: bool = False, coord_decimals: int = 0, ): """ Process extra attributes and attribute-based filters for DOM elements. Returns: A flag indicating if the element should be skipped or not (due to filters). Attributes to be printed, as a list of "x=y" strings. """ if extra_properties is None: if any( ( with_visible, with_clickable, with_center_coords, with_bounding_box_coords, with_som, filter_visible_only, filter_with_bid_only, filter_som_only, ) ): extra_properties = {} else: extra_properties = {} skip_element = False attributes_to_print = [] if bid is None: # skip nodes without a bid (if requested) if filter_with_bid_only: skip_element = True if filter_som_only: skip_element = True if filter_visible_only: # Use DOM's is_visible property if available if node.is_visible is False: skip_element = True # parse extra browsergym properties, if node has a bid else: if bid in extra_properties: node_vis = extra_properties[bid]["visibility"] node_bbox = extra_properties[bid]["bbox"] node_is_clickable = extra_properties[bid]["clickable"] node_in_som = extra_properties[bid]["set_of_marks"] node_is_visible = node_vis >= 0.5 # skip non-visible nodes (if requested) if filter_visible_only and not node_is_visible: skip_element = True if filter_som_only and not node_in_som: skip_element = True # print extra attributes if requested (with new names) if with_som and node_in_som: attributes_to_print.insert(0, "som") if with_visible and node_is_visible: attributes_to_print.insert(0, "visible") if with_clickable and node_is_clickable: attributes_to_print.insert(0, "clickable") if with_center_coords and node_bbox is not None: x, y, width, height = node_bbox center = (x + width / 2, y + height / 2) attributes_to_print.insert(0, f'center="{_get_coord_str(center, coord_decimals)}"') if with_bounding_box_coords and node_bbox is not None: x, y, width, height = node_bbox box = (x, y, x + width, y + height) attributes_to_print.insert(0, f'box="{_get_coord_str(box, coord_decimals)}"') else: # Use DOM properties when extra_properties not available if filter_visible_only and node.is_visible is False: skip_element = True if with_visible and node.is_visible: attributes_to_print.insert(0, "visible") if with_clickable and node.is_interactive: attributes_to_print.insert(0, "clickable") return skip_element, attributes_to_print def _get_coord_str(coord, decimals): """Helper function for coordinate formatting (same as original)""" if isinstance(coord, str): coord = list(map(float, ast.literal_eval(coord))) coord_format = f".{decimals}f" coord_str = ",".join([f"{c:{coord_format}}" for c in coord]) return f"({coord_str})" ================================================ FILE: src/cuga/backend/browser_env/page_understanding/tranformer_utils/transform_utils.py ================================================ # Copyright 2024 ServiceNow # Modifications Copyright 2025 CUGA # Licensed under the Apache License, Version 2.0 import ast IGNORED_AXTREE_ROLES = ["LineBreak"] IGNORED_AXTREE_PROPERTIES = ( "editable", "readonly", "level", "settable", "multiline", "invalid", "focusable", ) def flatten_axtree_to_str( AX_tree, extra_properties: dict = None, with_visible: bool = False, with_clickable: bool = False, with_center_coords: bool = False, with_bounding_box_coords: bool = False, with_som: bool = False, skip_generic: bool = True, filter_visible_only: bool = False, filter_with_bid_only: bool = False, filter_som_only: bool = False, coord_decimals: int = 0, ignored_roles=IGNORED_AXTREE_ROLES, ignored_properties=IGNORED_AXTREE_PROPERTIES, remove_redundant_static_text: bool = True, hide_bid_if_invisible: bool = False, hide_all_children: bool = False, hide_all_bids: bool = False, ) -> str: """Formats the accessibility tree into a string text""" node_id_to_idx = {} for idx, node in enumerate(AX_tree["nodes"]): node_id_to_idx[node["nodeId"]] = idx def dfs(node_idx: int, depth: int, parent_node_filtered: bool, parent_node_name: str) -> str: tree_str = "" node = AX_tree["nodes"][node_idx] indent = "\t" * depth skip_node = False # node will not be printed, with no effect on children nodes filter_node = False # node will not be printed, possibly along with its children nodes node_role = node["role"]["value"] node_name = "" if node_role in ignored_roles: skip_node = True pass elif "name" not in node: skip_node = True pass else: node_name = node["name"]["value"] if "value" in node and "value" in node["value"]: node_value = node["value"]["value"] else: node_value = None # extract bid bid = node.get("browsergym_id", None) # extract node attributes attributes = [] for property in node.get("properties", []): if "value" not in property: continue if "value" not in property["value"]: continue prop_name = property["name"] prop_value = property["value"]["value"] if prop_name in ignored_properties: continue elif prop_name in ("required", "focused", "atomic"): if prop_value: attributes.append(prop_name) else: attributes.append(f"{prop_name}={repr(prop_value)}") if skip_generic and node_role == "generic" and not attributes: skip_node = True if hide_all_children and parent_node_filtered: skip_node = True if node_role == "StaticText": if parent_node_filtered: skip_node = True elif remove_redundant_static_text and node_name in parent_node_name: skip_node = True else: filter_node, extra_attributes_to_print = _process_bid( bid, extra_properties=extra_properties, with_visible=with_visible, with_clickable=with_clickable, with_center_coords=with_center_coords, with_bounding_box_coords=with_bounding_box_coords, with_som=with_som, filter_visible_only=filter_visible_only, filter_with_bid_only=filter_with_bid_only, filter_som_only=filter_som_only, coord_decimals=coord_decimals, ) # if either is True, skip the node skip_node = skip_node or filter_node # insert extra attributes before regular attributes attributes = extra_attributes_to_print + attributes # actually print the node string if not skip_node: if node_role == "generic" and not node_name: node_str = f"{node_role}" else: node_str = f"{node_role} {repr(node_name.strip())}" if not ( hide_all_bids or bid is None or (hide_bid_if_invisible and extra_properties.get(bid, {}).get("visibility", 0) < 0.5) ): node_str = f"[{bid}] " + node_str if node_value is not None: node_str += f' value={repr(node["value"]["value"])}' if attributes: node_str += ", ".join([""] + attributes) tree_str += f"{indent}{node_str}" for child_node_id in node["childIds"]: if child_node_id not in node_id_to_idx or child_node_id == node["nodeId"]: continue # mark this to save some tokens child_depth = depth if skip_node else (depth + 1) child_str = dfs( node_id_to_idx[child_node_id], child_depth, parent_node_filtered=filter_node, parent_node_name=node_name, ) if child_str: if tree_str: tree_str += "\n" tree_str += child_str return tree_str tree_str = dfs(0, 0, False, "") return tree_str def _process_bid( bid, extra_properties: dict = None, with_visible: bool = False, with_clickable: bool = False, with_center_coords: bool = False, with_bounding_box_coords: bool = False, with_som: bool = False, filter_visible_only: bool = False, filter_with_bid_only: bool = False, filter_som_only: bool = False, coord_decimals: int = 0, ): """ Process extra attributes and attribute-based filters, for the element with the given bid. Returns: A flag indicating if the element should be skipped or not (due to filters). Attributes to be printed, as a list of "x=y" strings. """ if extra_properties is None: if any( ( with_visible, with_clickable, with_center_coords, with_bounding_box_coords, with_som, filter_visible_only, filter_with_bid_only, filter_som_only, ) ): raise ValueError("extra_properties argument required") else: extra_properties = {} skip_element = False attributes_to_print = [] if bid is None: # skip nodes without a bid (if requested) if filter_with_bid_only: skip_element = True if filter_som_only: skip_element = True if filter_visible_only: # element without bid have no visibility mark, they could be visible or non-visible pass # keep elements without visible property # skip_element = True # filter elements without visible property # parse extra browsergym properties, if node has a bid else: if bid in extra_properties: node_vis = extra_properties[bid]["visibility"] node_bbox = extra_properties[bid]["bbox"] node_is_clickable = extra_properties[bid]["clickable"] node_in_som = extra_properties[bid]["set_of_marks"] node_is_visible = node_vis >= 0.5 # skip non-visible nodes (if requested) if filter_visible_only and not node_is_visible: skip_element = True if filter_som_only and not node_in_som: skip_element = True # print extra attributes if requested (with new names) if with_som and node_in_som: attributes_to_print.insert(0, "som") if with_visible and node_is_visible: attributes_to_print.insert(0, "visible") if with_clickable and node_is_clickable: attributes_to_print.insert(0, "clickable") if with_center_coords and node_bbox is not None: x, y, width, height = node_bbox center = (x + width / 2, y + height / 2) attributes_to_print.insert(0, f'center="{_get_coord_str(center, coord_decimals)}"') if with_bounding_box_coords and node_bbox is not None: x, y, width, height = node_bbox box = (x, y, x + width, y + height) attributes_to_print.insert(0, f'box="{_get_coord_str(box, coord_decimals)}"') return skip_element, attributes_to_print def _get_coord_str(coord, decimals): if isinstance(coord, str): coord = list(map(float, ast.literal_eval(coord))) coord_format = f".{decimals}f" coord_str = ",".join([f"{c:{coord_format}}" for c in coord]) return f"({coord_str})" ================================================ FILE: src/cuga/backend/browser_env/page_understanding/types/README.md ================================================ # DOM Tree Types Pydantic models for DOM tree extraction results from the Chrome extension. ## Overview The DOM tree extraction provides a structured representation of the web page's DOM with interactive element analysis and highlighting capabilities. ## Models ### `DomTreeArgs` Input arguments for DOM tree extraction: - `do_highlight_elements`: Whether to highlight interactive elements (default: True) - `focus_highlight_index`: Index of element to focus highlight on, -1 for all (default: -1) - `viewport_expansion`: Viewport expansion for visibility checks, 0 = current viewport, -1 = all elements (default: 0) - `debug_mode`: Enable debug mode (default: False) ### `NodeData` Represents an element node in the DOM tree: - `tag_name` (alias: `tagName`): HTML tag name (lowercase) - `attributes`: Element attributes as key-value pairs - `xpath`: XPath to the element - `children`: List of child node IDs - `is_visible` (alias: `isVisible`): Whether the element is visible (optional) - `is_top_element` (alias: `isTopElement`): Whether the element is the topmost at its position (optional) - `is_interactive` (alias: `isInteractive`): Whether the element is interactive (optional) - `is_in_viewport` (alias: `isInViewport`): Whether the element is in the viewport (optional) - `highlight_index` (alias: `highlightIndex`): Highlight index if element is highlighted (optional) - `shadow_root` (alias: `shadowRoot`): Whether the element has a shadow root (optional) ### `TextNodeData` Represents a text node in the DOM tree: - `type`: Always "TEXT_NODE" (literal type) - `text`: Text content - `is_visible` (alias: `isVisible`): Whether the text node is visible ### `DomTreeResult` Main result structure containing the complete DOM tree: - `root_id` (alias: `rootId`): ID of the root node - `map`: Dictionary mapping node IDs to node data ## Field Name Compatibility The models support both Python snake_case and JavaScript camelCase field names through Pydantic aliases: ```python # Both of these work identically: node_data = NodeData(tagName="div", isVisible=True, ...) # JavaScript style node_data = NodeData(tag_name="div", is_visible=True, ...) # Python style # Access is always through snake_case attributes: print(node_data.tag_name) # "div" print(node_data.is_visible) # True ``` This ensures seamless integration with the Chrome extension's JavaScript data while maintaining Python conventions in your code. ## Utility Methods The `DomTreeResult` class provides several utility methods: - `get_node(node_id)`: Get a node by its ID - `get_root_node()`: Get the root node - `get_interactive_nodes()`: Get all interactive element nodes - `get_highlighted_nodes()`: Get all highlighted element nodes (sorted by highlight index) - `get_visible_text_nodes()`: Get all visible text nodes - `get_children(node_id)`: Get all children of a node - `traverse_tree(node_id=None)`: Traverse the tree in depth-first order - `get_statistics()`: Get statistics about the DOM tree ## Usage Example ```python from page_understanding.pu_extractor_chrome_extension import PageUnderstandingExtractorChromeExtension async with PageUnderstandingExtractorChromeExtension() as extractor: result = await extractor.extract() if result.dom_tree: # Get statistics stats = result.dom_tree.get_statistics() print(f"Total nodes: {stats['total_nodes']}") print(f"Interactive nodes: {stats['interactive_nodes']}") # Get interactive elements interactive_nodes = result.dom_tree.get_interactive_nodes() for node in interactive_nodes: print(f"Interactive: <{node.tag_name}> at {node.xpath}") if node.highlight_index is not None: print(f" Highlighted as #{node.highlight_index}") # Get highlighted elements (for debugging) highlighted_nodes = result.dom_tree.get_highlighted_nodes() for node in highlighted_nodes: print(f"#{node.highlight_index}: <{node.tag_name}> - {node.xpath}") ``` ## Type Safety The models provide full type safety with Pydantic validation: ```python from page_understanding.types import DomTreeResult, NodeData, TextNodeData # Type-safe access def analyze_node(node: NodeData | TextNodeData): if isinstance(node, NodeData): print(f"Element: <{node.tag_name}>") if node.is_interactive: print(" This is an interactive element") elif isinstance(node, TextNodeData): print(f"Text: {node.text[:50]}...") ``` ## Integration The DOM tree types are automatically used in the `PUExtractedChromeExtension` result: ```python result = await extractor.extract() # result.dom_tree is now properly typed as Optional[DomTreeResult] ``` ================================================ FILE: src/cuga/backend/browser_env/page_understanding/types/__init__.py ================================================ """ Type definitions for page understanding components """ from .dom_tree_types import ( DomTreeArgs, NodeData, TextNodeData, DomTreeResult, DomTreeNode, ) __all__ = [ "DomTreeArgs", "NodeData", "TextNodeData", "DomTreeResult", "DomTreeNode", ] ================================================ FILE: src/cuga/backend/browser_env/page_understanding/types/dom_tree_types.py ================================================ """ Pydantic models for DOM tree extraction results from Chrome extension """ import json from typing import Dict, List, Literal, Optional, Union from pydantic import BaseModel, ConfigDict, Field class DomTreeArgs(BaseModel): """ Arguments for DOM tree extraction """ model_config = ConfigDict(populate_by_name=True) do_highlight_elements: Optional[bool] = Field( default=True, description="Whether to highlight interactive elements" ) focus_highlight_index: Optional[int] = Field( default=-1, description="Index of element to focus highlight on (-1 for all)" ) viewport_expansion: Optional[int] = Field( default=0, description="Viewport expansion for visibility checks (0 = current viewport, -1 = all elements)", ) debug_mode: Optional[bool] = Field(default=False, description="Enable debug mode") class NodeData(BaseModel): """ Data for an element node in the DOM tree """ model_config = ConfigDict(populate_by_name=True) tag_name: str = Field(alias="tagName", description="HTML tag name (lowercase)") attributes: Dict[str, Optional[str]] = Field(description="Element attributes as key-value pairs") xpath: str = Field(description="XPath to the element") dom_tree_id: Optional[int] = Field( default=None, alias="domTreeId", description="Unique DOM tree id assigned by extension" ) children: List[str] = Field(description="List of child node IDs") is_visible: Optional[bool] = Field( default=None, alias="isVisible", description="Whether the element is visible" ) is_top_element: Optional[bool] = Field( default=None, alias="isTopElement", description="Whether the element is the topmost at its position" ) is_interactive: Optional[bool] = Field( default=None, alias="isInteractive", description="Whether the element is interactive" ) is_in_viewport: Optional[bool] = Field( default=None, alias="isInViewport", description="Whether the element is in the viewport" ) highlight_index: Optional[int] = Field( default=None, alias="highlightIndex", description="Highlight index if element is highlighted" ) shadow_root: Optional[bool] = Field( default=None, alias="shadowRoot", description="Whether the element has a shadow root" ) def __str__(self) -> str: # Attributes as HTML-like pairs, truncating long values attr_parts = [] for k, v in sorted((self.attributes or {}).items()): if v is None or v is True: attr_parts.append(k) elif v is False: attr_parts.append(f'{k}=false') else: val = str(v).replace('"', '\\"') if len(val) > 40: val = val[:37] + "..." attr_parts.append(f'{k}="{val}"') attrs_str = " ".join(attr_parts) if attr_parts else "-" # Flags using field aliases (e.g., isVisible) and skipping None def flag(field_name: str): val = getattr(self, field_name) if val is None: return None alias = self.model_fields[field_name].alias or field_name return f"{alias}={'true' if val else 'false'}" flags = [flag(n) for n in ("is_visible", "is_top_element", "is_interactive", "is_in_viewport")] flags_str = " ".join(f for f in flags if f) hi = f"#{self.highlight_index}" if self.highlight_index is not None else "" sr = " shadowRoot" if self.shadow_root else "" dtid = self.dom_tree_id if self.dom_tree_id is not None else "-" return ( f"<{self.tag_name}{hi}{sr} domTreeId={dtid} children={len(self.children)} " f"{flags_str} xpath='{self.xpath}' attrs=[{attrs_str}]>" ) __repr__ = __str__ def to_pretty_string(self) -> str: """Multiline JSON-style view with aliases; replaces 'children' with a count.""" data = self.model_dump(by_alias=True, exclude_none=True) data["childrenCount"] = len(self.children) data.pop("children", None) return json.dumps(data, ensure_ascii=False, indent=2) class TextNodeData(BaseModel): """ Data for a text node in the DOM tree """ model_config = ConfigDict(populate_by_name=True) type: Literal["TEXT_NODE"] = Field(description="Node type discriminator") text: str = Field(description="Text content") is_visible: bool = Field(alias="isVisible", description="Whether the text node is visible") class DomTreeResult(BaseModel): """ Result of DOM tree extraction """ model_config = ConfigDict(populate_by_name=True) root_id: str = Field(alias="rootId", description="ID of the root node") map: Dict[str, Union[NodeData, TextNodeData]] = Field(description="Map of node IDs to node data") def get_node(self, node_id: str) -> Optional[Union[NodeData, TextNodeData]]: """Get a node by its ID""" return self.map.get(node_id) def get_root_node(self) -> Optional[Union[NodeData, TextNodeData]]: """Get the root node""" return self.get_node(self.root_id) def get_interactive_nodes(self) -> List[NodeData]: """Get all interactive element nodes""" interactive_nodes = [] for node in self.map.values(): if isinstance(node, NodeData) and node.is_interactive: interactive_nodes.append(node) return interactive_nodes def get_highlighted_nodes(self) -> List[NodeData]: """Get all highlighted element nodes""" highlighted_nodes = [] for node in self.map.values(): if isinstance(node, NodeData) and node.highlight_index is not None: highlighted_nodes.append(node) return sorted(highlighted_nodes, key=lambda x: x.highlight_index or 0) def get_visible_text_nodes(self) -> List[TextNodeData]: """Get all visible text nodes""" text_nodes = [] for node in self.map.values(): if isinstance(node, TextNodeData) and node.is_visible: text_nodes.append(node) return text_nodes def get_children(self, node_id: str) -> List[Union[NodeData, TextNodeData]]: """Get all children of a node""" node = self.get_node(node_id) if isinstance(node, NodeData): return [ self.get_node(child_id) for child_id in node.children if self.get_node(child_id) is not None ] return [] def traverse_tree(self, node_id: Optional[str] = None) -> List[Union[NodeData, TextNodeData]]: """Traverse the tree in depth-first order""" if node_id is None: node_id = self.root_id result = [] node = self.get_node(node_id) if node is None: return result result.append(node) if isinstance(node, NodeData): for child_id in node.children: result.extend(self.traverse_tree(child_id)) return result def get_statistics(self) -> Dict[str, int]: """Get statistics about the DOM tree""" stats = { "total_nodes": len(self.map), "element_nodes": 0, "text_nodes": 0, "interactive_nodes": 0, "highlighted_nodes": 0, "visible_nodes": 0, "in_viewport_nodes": 0, } for node in self.map.values(): if isinstance(node, NodeData): stats["element_nodes"] += 1 if node.is_interactive: stats["interactive_nodes"] += 1 if node.highlight_index is not None: stats["highlighted_nodes"] += 1 if node.is_visible: stats["visible_nodes"] += 1 if node.is_in_viewport: stats["in_viewport_nodes"] += 1 elif isinstance(node, TextNodeData): stats["text_nodes"] += 1 if node.is_visible: stats["visible_nodes"] += 1 return stats # Type alias for convenience DomTreeNode = Union[NodeData, TextNodeData] ================================================ FILE: src/cuga/backend/browser_env/page_understanding/types/validate_structure.py ================================================ """ Validate the structure and field mappings without requiring pydantic """ def validate_field_mappings(): """ Validate that our field mappings match the expected JavaScript structure """ print("🔍 Validating DOM Tree Field Mappings") print("=" * 50) # Expected JavaScript structure from the Chrome extension # expected_js_structure = { # "rootId": "string", # Maps to root_id # "map": { # "node_id": { # # NodeData structure # "tagName": "string", # Maps to tag_name # "attributes": "object", # "xpath": "string", # "children": "array", # "isVisible": "boolean", # Maps to is_visible # "isTopElement": "boolean", # Maps to is_top_element # "isInteractive": "boolean", # Maps to is_interactive # "isInViewport": "boolean", # Maps to is_in_viewport # "highlightIndex": "number", # Maps to highlight_index # "shadowRoot": "boolean", # Maps to shadow_root # }, # "text_node_id": { # # TextNodeData structure # "type": "TEXT_NODE", # "text": "string", # "isVisible": "boolean", # Maps to is_visible # }, # }, # } # Our Python field mappings python_mappings = { # DomTreeResult "rootId": "root_id", # NodeData "tagName": "tag_name", "isVisible": "is_visible", "isTopElement": "is_top_element", "isInteractive": "is_interactive", "isInViewport": "is_in_viewport", "highlightIndex": "highlight_index", "shadowRoot": "shadow_root", # TextNodeData (isVisible is shared) # "isVisible": "is_visible" already covered above } print("✅ JavaScript to Python Field Mappings:") for js_field, py_field in python_mappings.items(): print(f" {js_field} → {py_field}") print("\n✅ Sample JavaScript Input:") sample_js_input = { "rootId": "0", "map": { "0": { "tagName": "button", "attributes": {"id": "submit", "class": "btn"}, "xpath": "/html/body/button", "children": ["1"], "isVisible": True, "isTopElement": True, "isInteractive": True, "isInViewport": True, "highlightIndex": 0, "shadowRoot": False, }, "1": {"type": "TEXT_NODE", "text": "Click me", "isVisible": True}, }, } import json print(json.dumps(sample_js_input, indent=2)) print("\n✅ Expected Python Access:") print(" result.root_id # '0'") print(" node = result.map['0']") print(" node.tag_name # 'button'") print(" node.is_visible # True") print(" node.highlight_index # 0") print("\n🎯 Validation Summary:") print(" • All JavaScript camelCase fields have aliases") print(" • Python snake_case conventions maintained") print(" • ConfigDict(populate_by_name=True) allows both naming styles") print(" • Field mappings match TypeScript interface exactly") return True if __name__ == "__main__": validate_field_mappings() ================================================ FILE: src/cuga/backend/browser_env/tools/__init__.py ================================================ from .providers import ( BrowserToolImplProvider, ExtensionToolImplProvider, PlaywrightToolImplProvider, get_default_provider, ) __all__ = [ "BrowserToolImplProvider", "ExtensionToolImplProvider", "PlaywrightToolImplProvider", "get_default_provider", ] ================================================ FILE: src/cuga/backend/browser_env/tools/extension_commands.py ================================================ """ Extension-based implementations of browser interaction commands. These helpers are invoked when the Chrome extension is enabled (settings.advanced_features.use_extension == True). They wrap lower-level helpers such as `_send_browser_command` and element-lookup utilities so the public `@tool` functions in `tools.py` can simply delegate to them. """ from typing import Any, Dict, List, Literal, Optional from langchain_core.runnables import RunnableConfig from loguru import logger from cuga.backend.browser_env.page_understanding.types.dom_tree_types import ( DomTreeResult, NodeData, TextNodeData, ) from cuga.backend.cuga_graph.nodes.browser.action_agent.tools.alert import Alert IDENTIFIER_ELEMENT = "dom-tree-id" def _get_communicator(config: RunnableConfig | None) -> Any | None: """Retrieve the ChromeExtensionCommunicator instance. Preference order: 1. Provided via the tool's RunnableConfig under ``configurable.communicator``. 2. From page_data in configurable if available. 3. Global FastAPI app instance created in ``server.main`` (``app.state.chrome_extension_communicator``). 4. Return ``None`` if no communicator can be found. """ # 1) Try config if config and (comm := config.get("configurable", {}).get("communicator")): return comm # 2) Try page_data in configurable if config and (page_data := config.get("configurable", {}).get("page_data")): if isinstance(page_data, dict) and "chrome_extension_communicator" in page_data: return page_data["chrome_extension_communicator"] # 3) Try to import the running FastAPI app created in server.main try: from server.main import app # type: ignore comm = getattr(app.state, "chrome_extension_communicator", None) if comm: return comm except Exception: pass return None async def _send_browser_command(command: str, args: Dict[str, Any], config: RunnableConfig | None): """Send a browser command to the Chrome extension via WebSocket or HTTP stream. This is a *best-effort* operation: if no communicator is available we simply log and exit so the agent can continue operating without throwing errors. """ communicator = _get_communicator(config) if communicator is None: logger.warning( f"[tools.py] No ChromeExtensionCommunicator available – cannot send command '{command}'." ) return None try: msg = {"type": "browser_command", "command": command, "args": args} # Handle different communicator types if hasattr(communicator, 'server'): # WebSocket communicator response = await communicator.server.send_request(msg, timeout=10.0) else: # HTTP stream communicator response = await communicator.send_request(msg, timeout=10.0) logger.debug(f"[tools.py] Sent browser_command: {msg}") logger.debug(f"[tools.py] Received response: {response}") if response and response.get("type") == "error": logger.error(f"[tools.py] Browser command '{command}' failed: {response.get('message')}") return None return response except Exception as e: logger.error(f"[tools.py] Failed to send browser command '{command}': {e}") return None async def _add_animation( bid: str, icon_type: str, banner_text: str, config: RunnableConfig | None = None, ): """ Add a visual animation to the element with the given BID. Args: bid: The browsergym ID of the element icon_type: Type of icon to display (e.g., "typing", "loading", "success") banner_text: Text to display in the banner """ response = await _send_browser_command( "add_animation", {"bid": bid, "icon_type": icon_type, "banner_text": banner_text}, config, ) return response def _get_page_data(config: RunnableConfig | None) -> Optional[Dict[str, Any]]: """Retrieve page data from the config. Returns: Dict containing page data (dom_object, accessibility_tree, extra_properties, etc.) or None """ if not config: return None # Try to get from configurable.page_data page_data = config.get("configurable", {}).get("page_data") if page_data: return page_data return None def _get_dom_tree(config: RunnableConfig | None): """Retrieve the DOM tree from page data. Returns: DomTreeResult object or None if not found """ page_data = _get_page_data(config) if not page_data: return None return page_data.get("dom_tree") def get_node_by_dom_tree_id(dom_tree_id: int, dom_tree: DomTreeResult) -> NodeData | TextNodeData | None: # Traverse all nodes to find matching DOM Tree ID target_node = None for node in dom_tree.map.values(): if isinstance(node, NodeData) and node.dom_tree_id == dom_tree_id: target_node = node break if not target_node: logger.warning(f"No element found with dom_tree_id #{dom_tree_id} in DOM tree") return target_node def _find_browsergym_id_in_children( element: NodeData, dom_tree: DomTreeResult, max_depth: int = 2 ) -> str | None: """ Search for IDENTIFIER_ELEMENT attribute in element's children up to max_depth levels. Args: element: The DOM element to search in dom_tree: The DomTreeResult to get child nodes from max_depth: Maximum depth to search (default 2) Returns: The browsergym ID if found, None otherwise """ def search_recursive(node: NodeData, current_depth: int) -> str | None: if current_depth > max_depth: return None # Check if this node has the IDENTIFIER_ELEMENT if hasattr(node, 'attributes') and node.attributes: browsergym_id = node.attributes.get(IDENTIFIER_ELEMENT) if browsergym_id: return browsergym_id # Search children if we haven't reached max depth if current_depth < max_depth and hasattr(node, 'children') and node.children: for child_id in node.children: child_node = dom_tree.get_node(child_id) if child_node and isinstance(child_node, NodeData): # Skip text nodes result = search_recursive(child_node, current_depth + 1) if result: return result return None return search_recursive(element, 0) def get_element_name_by_bid(bid: str, page_data: dict) -> str | None: """Get element name/description by BID from accessibility tree. Args: bid: The browsergym ID of the element page_data: Page data containing accessibility_tree Returns: Element name/description or None if not found """ if not page_data or not bid: return None accessibility_tree = page_data.get("axtree_object", {}) nodes = accessibility_tree.get("nodes", []) for node in nodes: if node.get("browsergym_id") == bid: # Try to get name from various accessibility properties name = ( node.get("name", {}).get("value") or node.get("role", {}).get("value") or node.get("description", {}).get("value") ) return name return None async def _get_element_by_bid_with_validation( bid: str, config: RunnableConfig | None ) -> tuple[str | None, Alert | None]: """ Common helper function to get and validate an element by BID. Args: bid: The dom_tree_id of the target element as string config: RunnableConfig containing page data Returns: Tuple of (actual_browsergym_id, error_alert_or_none) If successful, returns (browsergym_id, None) If failed, returns (None, Alert_with_error_message) """ # Get page data to access element information dom_tree = _get_dom_tree(config) page_data = _get_page_data(config) if not dom_tree or not page_data: return None, Alert(message="Could not get page data or dom tree") try: dom_tree_id_int = int(bid) except (TypeError, ValueError): return None, Alert(message=f"Invalid dom_tree_id provided: {bid}") desired_element = get_node_by_dom_tree_id(dom_tree_id_int, dom_tree) logger.info(f"Found element {desired_element} on page") if not desired_element or isinstance(desired_element, TextNodeData): logger.warning(f"Element with dom_tree_id {bid} not found") return None, Alert(message=f"Element with dom_tree_id {bid} not found") # First try to get the IDENTIFIER_ELEMENT from the element itself desired_bid = desired_element.attributes.get(IDENTIFIER_ELEMENT) # If not found, search up to 2 levels down in children if not desired_bid: logger.info(f"IDENTIFIER_ELEMENT not found on element {bid}, searching children...") desired_bid = _find_browsergym_id_in_children(desired_element, dom_tree, max_depth=2) if not desired_bid: logger.warning( f"Attribute {IDENTIFIER_ELEMENT} not found in element {bid} or its children (up to 2 levels)" ) return None, Alert( message=f"Attribute {IDENTIFIER_ELEMENT} not found in element {bid} or its children" ) return desired_bid, None """Get the tag name for an element by BID from DOM snapshot. Args: bid: The browsergym ID of the element page_data: Page data containing dom_object Returns: Tag name (e.g., 'div', 'button', 'input') or None if not found """ if not page_data or not bid: return None dom_object = page_data.get("dom_object", {}) if not dom_object: return None def to_string(idx): if idx == -1: return None else: return dom_object["strings"][idx] # Pre-locate the bid string ID try: bid_string_id = dom_object["strings"].index("data-browsergym-id") except ValueError: return None # Find the node with this BID for document in dom_object.get("documents", []): backend_node_ids = document.get("nodes", {}).get("backendNodeId", []) node_attributes = document.get("nodes", {}).get("attributes", []) node_names = document.get("nodes", {}).get("nodeName", []) for node_idx, node_attrs in enumerate(node_attributes): if node_idx >= len(backend_node_ids) or node_idx >= len(node_names): continue # Check if this node has the target BID found_bid = None for i in range(0, len(node_attrs), 2): if i + 1 >= len(node_attrs): break name_string_id = node_attrs[i] value_string_id = node_attrs[i + 1] if name_string_id == bid_string_id: found_bid = to_string(value_string_id) break if found_bid == bid: # Found the node, get its tag name node_name_id = node_names[node_idx] return to_string(node_name_id) return None # --------------------------------------------------------------------------- # Low-level helpers (extension only) # --------------------------------------------------------------------------- async def click_impl( *, bid: str, button: Literal["left", "middle", "right"] = "left", modifiers: Optional[List[Literal["Alt", "Control", "Meta", "Shift"]]] = None, config: RunnableConfig | None = None, ) -> Optional[Alert]: """Implementation of the *click* command when the extension is enabled.""" modifiers = modifiers or [] # Validate / map the provided DOM-tree id to the browsergym id that the # extension understands. desired_bid, error_alert = await _get_element_by_bid_with_validation(bid, config) if error_alert: return error_alert # early exit # Visual feedback in the browser (purple glow & banner) try: await _add_animation(desired_bid, "success", "Clicked!", config) # type: ignore except Exception as e: # pragma: no cover – animation failures are non-fatal logger.warning(f"[extension_commands] Failed to trigger click animation: {e}") # Finally send command to the browser via the communicator response = await _send_browser_command( "click", {"bid": desired_bid, "button": button, "modifiers": modifiers}, config, ) if response and response.get("result", {}).get("success"): logger.info(f"Click successful on element {bid}") return None error_msg = response.get("message", "Unknown error") if response else "No response from browser" logger.error(f"Click failed on element {bid}: {error_msg}") return Alert(message=f"Click failed: {error_msg}") async def type_impl( *, bid: str, value: str, press_enter: bool, config: RunnableConfig | None = None, ) -> Optional[Alert]: """Implementation of the *type* command when the extension is enabled.""" desired_bid, error_alert = await _get_element_by_bid_with_validation(bid, config) if error_alert: return error_alert try: await _add_animation(desired_bid, "typing", "Typing...", config) # type: ignore except Exception as e: logger.warning(f"[extension_commands] Failed to trigger typing animation: {e}") response = await _send_browser_command( "type", {"bid": desired_bid, "value": value, "press_enter": press_enter}, config, ) if response and response.get("result", {}).get("success"): logger.info(f"Type successful on element {bid}") return None error_msg = response.get("message", "Unknown error") if response else "No response from browser" logger.error(f"Type failed on element {bid}: {error_msg}") return Alert(message=f"Type failed: {error_msg}") async def select_option_impl( *, bid: str, options: str | List[str], config: RunnableConfig | None = None, ) -> Optional[Alert]: """Implementation of *select_option* when the extension is enabled.""" desired_bid, error_alert = await _get_element_by_bid_with_validation(bid, config) if error_alert: return error_alert try: await _add_animation(desired_bid, "success", "Selected!", config) # type: ignore except Exception as e: logger.warning(f"[extension_commands] Failed to trigger selection animation: {e}") response = await _send_browser_command("select_option", {"bid": desired_bid, "options": options}, config) if response and response.get("result", {}).get("success"): logger.info(f"Select successful on element {bid}") return None error_msg = response.get("message", "Unknown error") if response else "No response from browser" logger.error(f"Select failed on element {bid}: {error_msg}") return Alert(message=f"Select failed: {error_msg}") async def open_app_impl(*, app_name: str, config: RunnableConfig | None = None): """Implementation of *open_app* when the extension is enabled.""" # Delegate actual work to the background extension via communicator. await _send_browser_command("open_app", {"app_name": app_name}, config) # Nothing to return – any error will be logged by `_send_browser_command`. return None async def open_dropdown_impl( *, bid: str, config: RunnableConfig | None = None, ) -> Optional[Alert]: """Open a dropdown element using the extension’s click handler.""" # This re-uses the click implementation but forces `button="left"` and no modifiers. return await click_impl(bid=bid, button="left", modifiers=[], config=config) async def go_back_impl(config: RunnableConfig | None = None): """ Go back to previous page. Examples: """ await _send_browser_command("go_back", {}, config) ================================================ FILE: src/cuga/backend/browser_env/tools/playwright_commands.py ================================================ """ Playwright-based implementations of browser interaction commands. These helpers are used when *not* running with the Chrome extension (i.e. when `settings.advanced_features.use_extension` is False). They directly manipulate Playwright `Page` objects instead of communicating with the extension. """ from __future__ import annotations import asyncio from typing import Any, List, Literal, Optional from loguru import logger from langchain_core.runnables import RunnableConfig from playwright.async_api import Page from cuga.backend.browser_env.page_understanding.extractor_utils.extract_async import ( extract_focused_element_bid, ) from cuga.backend.cuga_graph.nodes.browser.action_agent.tools.alert import Alert # --------------------------------------------------------------------------- # Low-level helpers originally defined inside tools.py (copied here for # isolation). No extension/communicator logic – pure Playwright utilities. # --------------------------------------------------------------------------- async def get_elem_by_bid_async(page, bid, scroll_into_view: bool = False): # type: ignore[unused-arg] if not isinstance(bid, str): raise ValueError(f"expected a string, got {repr(bid)}") current_frame = page i = 0 while bid[i:] and not bid[i:].isnumeric(): i += 1 frame_bid = bid[:i] frame_elem = current_frame.get_by_test_id(frame_bid) if not await frame_elem.count(): raise ValueError(f'Could not find element with bid "{bid}"') if scroll_into_view: await frame_elem.scroll_into_view_if_needed(timeout=500) current_frame = frame_elem.frame_locator(":scope") elem = current_frame.get_by_test_id(bid) if not await elem.count(): raise ValueError(f'Could not find element with bid "{bid}"') if scroll_into_view: await elem.scroll_into_view_if_needed(timeout=500) return elem async def add_animation(page: Page, elem: Any, icon_type: str, banner_text: str): """Injects purple-themed highlight & banner around the `elem`.""" bbox = await elem.bounding_box() if not bbox: return await page.evaluate( """() => { if (!document.getElementById('ai-animation-styles')) { const style = document.createElement('style'); style.id = 'ai-animation-styles'; style.textContent = `@keyframes pulse{0%{opacity:0.6;transform:scale(1);}50%{opacity:1;transform:scale(1.03);}100%{opacity:0.6;transform:scale(1);}}@keyframes glowing{0%{box-shadow:0 0 3px 2px rgba(138,43,226,0.4);}50%{box-shadow:0 0 10px 5px rgba(138,43,226,0.8);}100%{box-shadow:0 0 3px 2px rgba(138,43,226,0.4);}}@keyframes rotate{0%{transform:rotate(0deg);}100%{transform:rotate(360deg);}}.ai-highlight{position:absolute;z-index:9998;border:2px solid #8a2be2;border-radius:4px;pointer-events:none;animation:glowing 1.8s infinite ease-in-out;background-color:rgba(138,43,226,0.05);}.ai-icon{position:absolute;z-index:9999;background-size:contain;background-repeat:no-repeat;width:28px;height:28px;pointer-events:none;}.ai-typing-icon{background-image:url("data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cGF0aCBkPSJNMTcgMTJINyIgc3Ryb2tlPSIjOGEyYmUyIiBzdHJva2Utd2lkdGg9IjIiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIgc3Ryb2tlLWxpbmVqb2luPSJyb3VuZCIvPjxwYXRoIGQ9Ik0xMiA3TDEyIDE3IiBzdHJva2U9IiM4YTJiZTIiIHN0cm9rZS13aWR0aD0iMiIgc3Rya2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiLz48L3N2Zz4=");animation:pulse 1.5s infinite ease-in-out;}.ai-loading-icon{border:3px solid rgba(138,43,226,0.3);border-radius:50%;border-top:3px solid #8a2be2;animation:rotate 1s linear infinite;}.ai-success-icon{background-image:url("data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cGF0aCBkPSJNMjAgNkw5IDE3TDQgMTIiIHN0cm9rZT0iIzhhMmJlMiIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiLz48L3N2Zz4=");animation:pulse 1.5s infinite ease-in-out;}.ai-banner{position:fixed;bottom:20px;left:50%;transform:translateX(-50%);background:linear-gradient(135deg,#9c27b0,#673ab7);color:white;padding:10px 18px;border-radius:20px;font-family:system-ui,-apple-system,sans-serif;font-size:14px;font-weight:500;z-index:10000;animation:pulse 1.5s infinite ease-in-out;pointer-events:none;box-shadow:0 3px 10px rgba(0,0,0,0.2);} .ai-focus-outline{position:absolute;z-index:9997;pointer-events:none;border-radius:4px;box-shadow:0 0 0 9999px rgba(0,0,0,0.15);} `; document.head.appendChild(style); } }""" ) # Highlight & icon next to element highlight_id = f"ai-highlight-{id(elem)}" await page.evaluate( f"""(bbox) => {{ const highlight = document.createElement('div'); highlight.id = '{highlight_id}'; highlight.className = 'ai-highlight'; highlight.style.left = `${{bbox.x - 3}}px`; highlight.style.top = `${{bbox.y - 3}}px`; highlight.style.width = `${{bbox.width + 6}}px`; highlight.style.height = `${{bbox.height + 6}}px`; document.body.appendChild(highlight); // Create a focus outline effect (darkens the rest of the page) const focusOutline = document.createElement('div'); focusOutline.id = 'ai-focus-outline-{id(elem)}'; focusOutline.className = 'ai-focus-outline'; focusOutline.style.left = `${{bbox.x - 5}}px`; focusOutline.style.top = `${{bbox.y - 5}}px`; focusOutline.style.width = `${{bbox.width + 10}}px`; focusOutline.style.height = `${{bbox.height + 10}}px`; document.body.appendChild(focusOutline); }}""", bbox, ) # Create icon next to the element icon_id = f"ai-icon-{id(elem)}" await page.evaluate( f"""(bbox) => {{ const icon = document.createElement('div'); icon.id = '{icon_id}'; icon.className = 'ai-icon ai-{icon_type}-icon'; icon.style.left = `${{bbox.x + bbox.width + 8}}px`; icon.style.top = `${{bbox.y + (bbox.height - 28) / 2}}px`; document.body.appendChild(icon); }}""", bbox, ) # Create banner at the bottom center banner_id = f"ai-banner-{id(elem)}" await page.evaluate(f"""() => {{ const banner = document.createElement('div'); banner.id = '{banner_id}'; banner.className = 'ai-banner'; banner.textContent = '{banner_text}'; document.body.appendChild(banner); }}""") # Schedule removal of animations with a fade-out transition await page.evaluate(f"""() => {{ setTimeout(() => {{ const highlight = document.getElementById('{highlight_id}'); const focusOutline = document.getElementById('ai-focus-outline-{id(elem)}'); const icon = document.getElementById('{icon_id}'); const banner = document.getElementById('{banner_id}'); if (highlight) {{ highlight.style.transition = 'opacity 0.5s ease-out'; highlight.style.opacity = '0'; }} if (focusOutline) {{ focusOutline.style.transition = 'opacity 0.5s ease-out'; focusOutline.style.opacity = '0'; }} if (icon) {{ icon.style.transition = 'opacity 0.5s ease-out'; icon.style.opacity = '0'; }} if (banner) {{ banner.style.transition = 'opacity 0.5s ease-out, transform 0.5s ease-out'; banner.style.opacity = '0'; banner.style.transform = 'translateX(-50%) translateY(20px)'; }} setTimeout(() => {{ if (highlight) highlight.remove(); if (focusOutline) focusOutline.remove(); if (icon) icon.remove(); if (banner) banner.remove(); }}, 500); }}, 5000); }}""") async def clear_animations(page: Page) -> None: """Remove any previously injected AI animation elements. This is robust across navigations: it removes by class selectors rather than element IDs that reference old handles. """ try: await page.evaluate( """() => { const classes = [ 'ai-highlight', 'ai-icon', 'ai-banner', 'ai-focus-outline', 'ai-loading-icon', 'ai-typing-icon', 'ai-success-icon', ]; for (const cls of classes) { document.querySelectorAll('.' + cls).forEach(el => el.remove()); } }""" ) except Exception: # Best-effort cleanup; ignore if the page navigated or context changed pass def schedule_clear_animations(page: Page, delay_seconds: float = 6.0) -> None: """Schedule a delayed, best-effort cleanup so UI has time to show banner. This avoids removing the banner immediately while still preventing leaks in case timeouts fail or the page state changes unexpectedly. """ async def _delayed(): try: await asyncio.sleep(delay_seconds) await clear_animations(page) except Exception: pass try: asyncio.create_task(_delayed()) except Exception: # If we cannot schedule, fallback to immediate best-effort cleanup # but do not await it here to avoid blocking. try: asyncio.create_task(clear_animations(page)) except Exception: pass async def check_for_alert(page: Page) -> Optional[str]: tab_name = await page.title() if "OpenStreetMap" in tab_name: await asyncio.sleep(1) alert_value = await page.evaluate("window.__last_alert") if alert_value: logger.warning(f"Dialog alert value: {alert_value}") await page.evaluate("window.__last_alert = null") return alert_value return None # --------------------------------------------------------------------------- # Public command implementations # --------------------------------------------------------------------------- async def click_impl( *, bid: str, button: Literal["left", "middle", "right"] = "left", modifiers: Optional[List[Literal["Alt", "Control", "Meta", "Shift"]]] = None, config: RunnableConfig | None = None, ) -> Optional[Alert]: modifiers = modifiers or [] page: Page = config.get("configurable", {}).get("page") # type: ignore[arg-type] # demo_mode: str = config.get("configurable", {}).get("demo_mode", "off") elem = await get_elem_by_bid_async(page, bid, True) await add_animation(page, elem, "loading", "CUGA is clicking...") try: await elem.click(modifiers=modifiers, timeout=5000, force=True) alert_str = await check_for_alert(page) if alert_str: logger.warning("Returning alert value") return Alert(message=alert_str) return None finally: schedule_clear_animations(page) async def type_impl( *, bid: str, value: str, press_enter: bool, config: RunnableConfig | None = None, ) -> Optional[Alert]: page: Page = config.get("configurable", {}).get("page") # type: ignore[arg-type] demo_mode: str = config.get("configurable", {}).get("demo_mode", "off") elem = await get_elem_by_bid_async(page, bid, demo_mode != "off") await add_animation(page, elem, "typing", "CUGA is typing...") try: await elem.fill(value, timeout=1000) if press_enter: await page.keyboard.press("Enter") alert_str = await check_for_alert(page) if alert_str: logger.warning("Returning alert value") return Alert(message=alert_str) return None finally: schedule_clear_animations(page) async def select_option_impl( *, bid: str, options: str | List[str], config: RunnableConfig | None = None, ) -> Optional[Alert]: page: Page = config.get("configurable", {}).get("page") # type: ignore[arg-type] elem = await get_elem_by_bid_async(page, bid) try: await elem.select_option(options, timeout=500) except Exception: logger.warning("Exception – select_option failed; trying alternative paths") try: focused_bid = await extract_focused_element_bid(page) if focused_bid: elem = await get_elem_by_bid_async(page, focused_bid) if await elem.is_editable(): await elem.type(options if isinstance(options, str) else ",".join(options)) await page.keyboard.press("Enter") return None except Exception: pass if await elem.is_editable(): await elem.type(options if isinstance(options, str) else ",".join(options)) return None else: logger.warning("select_option is not editable; falling back to click") await elem.click(force=True) return None async def open_app_impl(*, app_name: str, config: RunnableConfig | None = None): page: Page = config.get("configurable", {}).get("page") # type: ignore[arg-type] # Environment variables contain app URLs keyed by uppercase name await page.goto(getattr(__import__("os"), "environ")[app_name.upper()], timeout=30000) return None async def open_dropdown_impl(*, bid: str, config: RunnableConfig | None = None): # Same behaviour as click but without modifiers return await click_impl(bid=bid, button="left", modifiers=[], config=config) def go_back_impl(state) -> str: """ Navigates to the previous page in the browser history. Simulates clicking the browser's back button. Example: goback() """ page = state.get("page") page.go_back() return f'Navigated to previous page: {page.url}' ================================================ FILE: src/cuga/backend/browser_env/tools/providers.py ================================================ """ Providers that expose concrete implementations for browser tools. This module defines a protocol and two implementations that return a mapping from tool names to their underlying callables. The concrete callables are implemented in `extension_commands.py` (when the Chrome extension is used) and `playwright_commands.py` (when using raw Playwright without the extension). """ from __future__ import annotations from typing import Callable, Dict, Protocol, Any class BrowserToolImplProvider(Protocol): """Protocol for objects that provide tool implementation callables. The returned mapping keys are stable tool identifiers (e.g., "click", "type", "select_option", etc.) and values are the functions that implement them. The exact callable signatures may vary across environments (some are `async`, some may be sync), so the value type is expressed as `Callable[..., Any]`. """ def implementations(self) -> Dict[str, Callable[..., Any]]: """Return a mapping from tool name to implementation callable.""" ... class ExtensionToolImplProvider(BrowserToolImplProvider): """Provider that returns implementations backed by the Chrome extension.""" def implementations(self) -> Dict[str, Callable[..., Any]]: from . import extension_commands as ext return { "click": ext.click_impl, "type": ext.type_impl, "select_option": ext.select_option_impl, "open_app": ext.open_app_impl, "open_dropdown": ext.open_dropdown_impl, "go_back": ext.go_back_impl, } class PlaywrightToolImplProvider(BrowserToolImplProvider): """Provider that returns implementations backed by Playwright helpers.""" def implementations(self) -> Dict[str, Callable[..., Any]]: from . import playwright_commands as pw return { "click": pw.click_impl, "type": pw.type_impl, "select_option": pw.select_option_impl, "open_app": pw.open_app_impl, "open_dropdown": pw.open_dropdown_impl, "go_back": pw.go_back_impl, } def get_default_provider(use_extension: bool) -> BrowserToolImplProvider: """Helper to choose the appropriate provider based on environment flag.""" return ExtensionToolImplProvider() if use_extension else PlaywrightToolImplProvider() ================================================ FILE: src/cuga/backend/cuga_graph/README.md ================================================ ## CUGA's Nodes --- ### **ChatAgent | Chat** This agent manages follow-up questions and handles conversations that trigger pre-existing, familiar flows. ### **TaskAnalyzerAgent | Task Analyzer** This agent performs the initial analysis of a user's request to determine its complexity. It decides whether a simple, direct answer is sufficient or if the query requires a more complex, multi-step plan. This agent also identifies related applications based on the user's intent. ### **TaskDecompositionAgent | Task Decomposition** This agent breaks down large, complex tasks into smaller, more manageable sub-tasks. This is crucial for logically solving multi-step problems, as each sub-task can then be planned and executed independently. ### **PlanControllerAgent | Plan Controller** This agent acts as the central orchestrator of the plan. It reviews the overall plan, tracks the status of sub-tasks, and decides the next steps, ensuring the entire process stays on track from decomposition to the final answer. ### Browser Sub-Agent #### **BrowserPlannerAgent | Browser Planner** This agent plans the next steps in natural language, based on its understanding of the DOM page and accompanying images. It then passes tasks to either the **ActionAgent** or **QaAgent**, or decides to conclude the task. #### **ActionAgent | Action Agent** This agent is designed to perform specific subtasks directly on the current web page, such as clicking on an element. #### **QaAgent | Question Answering Agent** This agent is called upon to answer questions related to the current webpage. ## Human-in-the-Loop Nodes ### **SuggestHumanActions | Human Action Suggester** This node is used when human intervention or input would be beneficial. It's necessary for collaborative workflows, allowing the AI to ask for help, clarification, or a decision from the user. ### **WaitForResponse | Response Waiter** This node pauses the entire workflow until it receives a response, typically from a human user. It works in conjunction with **SuggestHumanActions** to enable true human-in-the-loop processing. ## API Sub-Agent ### **APIPlannerAgent | API Planner** This agent specializes in creating sub-tasks that involve API calls. At each turn, it either calls the **ShortlisterAgent** or **APICodePlannerAgent**, or decides to finish the task and return to the **PlanControllerAgent**. Within this node, there is also a reflection component that runs upon returning from the **CodeAgent**, summarizing the task, checking edge cases, and suggesting strategic recommendations. ### **APICodePlannerAgent | API Code Planner** This agent, given the shortlisted schema and sub-task decided by the **APIPlannerAgent**, generates a pseudo-natural language plan to guide the coding agent. It can also report missing APIs to the **APIPlannerAgent** as feedback. ### **CodeAgent | Code Agent** This agent is responsible for writing and executing code to solve a problem. It is called after the **APICodePlannerAgent**. The generated code is executed in a sandbox to ensure safety, and the result is stored in a variable and fed back to the **APIPlannerAgent** concisely within its context. ### **ShortlisterAgent | Tool Shortlister** This agent filters and ranks a list of available tools or APIs to find the most relevant ones for a given sub-task generated by the **APIPlannerAgent**. --- ### **FinalAnswerAgent | Final Answer** This agent is responsible for gathering the results from all completed tasks and synthesizing them into a final, coherent response for the user. It represents the last step in the cognitive process before presenting the solution. ### **ReuseAgent | Reuse Agent** This agent is used in "save & reuse" mode, where CUGA suggests that the user save the current autonomous flow into deterministic Python code for safer and more predictable execution. It runs after the **FinalAnswerAgent** in conjunction with human-in-the-loop actions. ================================================ FILE: src/cuga/backend/cuga_graph/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/graph.py ================================================ from typing import Optional from langgraph.checkpoint.memory import MemorySaver from langgraph.constants import END, START from langgraph.graph import StateGraph from cuga.backend.cuga_graph.nodes.browser.action_agent.action_agent import ActionAgent from cuga.backend.cuga_graph.nodes.api.api_code_planner_agent.api_code_planner_agent import ( APICodePlannerAgent, ) from cuga.backend.cuga_graph.nodes.api.api_planner_agent.api_planner_agent import APIPlannerAgent from cuga.backend.cuga_graph.nodes.api.code_agent.code_agent import CodeAgent from cuga.backend.cuga_graph.nodes.api.shortlister_agent.shortlister_agent import ShortlisterAgent from cuga.backend.cuga_graph.nodes.answer.final_answer_agent.final_answer_agent import FinalAnswerAgent from cuga.backend.cuga_graph.nodes.browser.action import ActionNode from cuga.backend.cuga_graph.nodes.task_decomposition_planning.analyze_task import TaskAnalyzer from cuga.backend.cuga_graph.nodes.api.api_code_agent import ApiCoder from cuga.backend.cuga_graph.nodes.api.api_code_planner import ApiCodePlanner from cuga.backend.cuga_graph.nodes.api.api_planner import ApiPlanner from cuga.backend.cuga_graph.nodes.api.api_shortlister import ApiShortlister from cuga.backend.cuga_graph.nodes.chat.chat import ChatNode from cuga.backend.cuga_graph.nodes.answer.final_answer import FinalAnswerNode from cuga.backend.cuga_graph.nodes.human_in_the_loop.suggest_actions import SuggestHumanActions from cuga.backend.cuga_graph.nodes.human_in_the_loop.wait_for_response import WaitForResponse from cuga.backend.cuga_graph.nodes.shared.interrupt_tool_node import InterruptToolNode from cuga.backend.cuga_graph.nodes.task_decomposition_planning.plan_controller import PlanControllerNode from cuga.backend.cuga_graph.nodes.browser.browser_planner import PlannerNode from cuga.backend.cuga_graph.nodes.browser.qa_agent_node import QaNode from cuga.backend.cuga_graph.nodes.save_reuse.save_reuse_node import SaveReuseNode from cuga.backend.cuga_graph.nodes.task_decomposition_planning.task_decomposition import TaskDecompositionNode from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.cuga_graph.nodes.task_decomposition_planning.plan_controller_agent.plan_controller_agent import ( PlanControllerAgent, ) from cuga.backend.cuga_graph.nodes.browser.browser_planner_agent.browser_planner_agent import ( BrowserPlannerAgent, ) from cuga.backend.cuga_graph.nodes.browser.qa_agent.qa_agent import QaAgent from cuga.backend.cuga_graph.nodes.save_reuse.save_reuse_agent.reuse_agent import ReuseAgent from cuga.backend.cuga_graph.nodes.task_decomposition_planning.task_analyzer_agent.task_analyzer_agent import ( TaskAnalyzerAgent, ) from cuga.backend.cuga_graph.nodes.task_decomposition_planning.task_decomposition_agent.task_decomposition_agent import ( TaskDecompositionAgent, ) from cuga.backend.cuga_graph.nodes.cuga_lite.cuga_lite_node import CugaLiteNode from cuga.backend.cuga_graph.nodes.cuga_lite.cuga_lite_graph import ( create_cuga_lite_graph, ) from cuga.backend.cuga_graph.nodes.cuga_lite.combined_tool_provider import CombinedToolProvider from cuga.backend.cuga_graph.nodes.cuga_lite.tool_provider_interface import ToolProviderInterface from cuga.backend.cuga_graph.nodes.cuga_supervisor.cuga_supervisor_node import CugaSupervisorNode from cuga.backend.cuga_graph.nodes.cuga_supervisor.cuga_supervisor_graph import ( create_cuga_supervisor_graph, ) from cuga.backend.cuga_graph.policy.configurable import PolicyConfigurable from cuga.backend.llm.models import LLMManager, create_llm_from_config from cuga.config import settings from loguru import logger class DynamicAgentGraph: def __init__( self, configurations, langfuse_handler=None, policy_system: Optional[PolicyConfigurable] = None, tool_provider: Optional[ToolProviderInterface] = None, cuga_folder: Optional[str] = None, filesystem_sync: Optional[bool] = None, enable_todos: Optional[bool] = None, reflection_enabled: Optional[bool] = None, shortlisting_tool_threshold: Optional[int] = None, cuga_lite_max_steps: Optional[int] = None, llm_config: Optional[dict] = None, ): self.task_decomposition_agent = TaskDecompositionNode(TaskDecompositionAgent.create()) self.plan_controller_agent = PlanControllerNode(PlanControllerAgent.create()) self.final_answer_agent = FinalAnswerNode(FinalAnswerAgent.create()) self.planner = PlannerNode(BrowserPlannerAgent.create()) self.followup = SuggestHumanActions() self.followup_response = WaitForResponse() self.reuse = SaveReuseNode(ReuseAgent.create()) self.chat: Optional[ChatNode] = None self.qa = QaNode(QaAgent.create()) self.interrupt_tool_node = InterruptToolNode() self.task_analyzer = TaskAnalyzer(TaskAnalyzerAgent.create()) self.action_agent = ActionNode(ActionAgent.create()) self.api_code_planner = ApiCodePlanner(APICodePlannerAgent.create()) self.api_planner = ApiPlanner(APIPlannerAgent.create()) self.api_shortlister = ApiShortlister(ShortlisterAgent.create()) self.api_coder = ApiCoder(CodeAgent.create()) self.cuga_lite = CugaLiteNode(langfuse_handler=langfuse_handler) self.cuga_supervisor = CugaSupervisorNode(langfuse_handler=langfuse_handler) from cuga.config import settings self.langfuse_handler = langfuse_handler self.policy_system = policy_system or PolicyConfigurable.get_instance() self.tool_provider = tool_provider self.cuga_folder = cuga_folder if cuga_folder is not None else settings.policy.cuga_folder self.filesystem_sync = ( filesystem_sync if filesystem_sync is not None else settings.policy.filesystem_sync ) self.enable_todos = enable_todos self.reflection_enabled = reflection_enabled self.shortlisting_tool_threshold = shortlisting_tool_threshold self.cuga_lite_max_steps = cuga_lite_max_steps self.llm_config: Optional[dict] = llm_config self.graph = None async def build_graph(self): graph = StateGraph(AgentState) await self.add_nodes(graph) self.add_edges(graph) # Compile with policy_system in configurable self.graph = graph.compile( checkpointer=MemorySaver(), interrupt_after=[self.action_agent.action_agent.name, self.interrupt_tool_node.name], ) # Store policy_system for passing to config self._policy_system = self.policy_system def get_config_with_policy(self, base_config: dict = None) -> dict: """ Get config dict with policy_system included in configurable. Args: base_config: Base configuration dict to merge with Returns: Config dict with policy_system in configurable """ config = base_config or {} if "configurable" not in config: config["configurable"] = {} config["configurable"]["policy_system"] = self.policy_system return config async def add_nodes(self, graph): self.chat = await ChatNode.create() graph.add_node( self.chat.chat_agent.name, self.chat.node, ) graph.add_node( self.task_decomposition_agent.task_decomposition_agent.name, self.task_decomposition_agent.node, ) graph.add_node(self.followup.name, self.followup.node) graph.add_node(self.followup_response.name, self.followup_response.node) graph.add_node(self.reuse.name, self.reuse.node) graph.add_node(self.planner.browser_planner_agent.name, self.planner.node) graph.add_node(self.action_agent.action_agent.name, self.action_agent.node) graph.add_node(self.plan_controller_agent.plan_controller_agent.name, self.plan_controller_agent.node) graph.add_node(self.final_answer_agent.final_answer_agent.name, self.final_answer_agent.node) graph.add_node(self.qa.qa_agent.name, self.qa.node) graph.add_node(self.task_analyzer.name, self.task_analyzer.node) graph.add_node(self.interrupt_tool_node.name, self.interrupt_tool_node.node) graph.add_node(self.api_code_planner.agent.name, self.api_code_planner.node) graph.add_node(self.api_shortlister.agent.name, self.api_shortlister.node) graph.add_node(self.api_coder.agent.name, self.api_coder.node) graph.add_node(self.api_planner.agent.name, self.api_planner.node) # Add CugaLite entry node graph.add_node(self.cuga_lite.name, self.cuga_lite.node) # Create and add CugaLite subgraph # Use provided tool provider or create default CombinedToolProvider tool_provider = self.tool_provider or CombinedToolProvider() await tool_provider.initialize() # Get apps for apps_list apps = await tool_provider.get_apps() apps_list = [app.name for app in apps] if apps else None # Build model: from published llm_config (no cache) or TOML + cache if self.llm_config: try: model = create_llm_from_config(self.llm_config) except Exception as _llm_err: logger.warning( "build_graph: failed to create LLM from saved config (provider=%s model=%s): %s — " "falling back to env/TOML settings", self.llm_config.get("provider"), self.llm_config.get("model"), _llm_err, ) llm_manager = LLMManager() llm_manager._models.clear() _fallback_config = settings.agent.code.model.copy() _fallback_config["streaming"] = False model = llm_manager.get_model(_fallback_config) self.llm_config = None base = settings.agent.code.model.copy() if settings.agent.code.model else {} model_config = {**base, "streaming": False} if self.llm_config: model_config["platform"] = self.llm_config.get("provider") or model_config.get( "platform", "openai" ) model_config["model"] = self.llm_config.get("model") or model_config.get("model") model_config["url"] = self.llm_config.get("base_url") or model_config.get("url") model_config["api_key"] = ( self.llm_config.get("api_key") if "api_key" in self.llm_config else model_config.get("api_key") ) model_config["temperature"] = self.llm_config.get( "temperature", model_config.get("temperature", 0.1) ) model_config["disable_ssl"] = self.llm_config.get( "disable_ssl", model_config.get("disable_ssl", False) ) for k in ("auth_type", "auth_header_name"): if k in self.llm_config and self.llm_config[k] is not None: model_config[k] = self.llm_config[k] model_config.setdefault("max_tokens", 16000) if getattr(settings.supervisor, "enabled", False): llm_manager = LLMManager() logger.info( "build_graph: using LLM from config — provider=%s model=%s", self.llm_config.get("provider"), self.llm_config.get("model"), ) else: llm_manager = LLMManager() llm_manager._models.clear() model_config = settings.agent.code.model.copy() model_config["streaming"] = False model = llm_manager.get_model(model_config) # Create the CugaLite subgraph (tools will be fetched dynamically from tool_provider) # Note: This subgraph is created at build time (before any invocation). # The policy_system is NOT passed here because it's accessed at runtime via # config["configurable"]["policy_system"]. When the main graph invokes this # subgraph node, LangGraph automatically passes the config down to the subgraph's # nodes (prepare_tools_and_apps), where PolicyEnactment.check_and_enact() extracts it. cuga_lite_subgraph = create_cuga_lite_graph( model=model, prompt=None, # Will be created dynamically from state tool_provider=tool_provider, apps_list=apps_list, callbacks=[self.langfuse_handler] if self.langfuse_handler else None, model_settings=model_config, ) # Compile and add as a subgraph node # The compiled subgraph will receive config from parent graph at runtime compiled_cuga_lite_subgraph = cuga_lite_subgraph.compile() graph.add_node("CugaLiteSubgraph", compiled_cuga_lite_subgraph) # Add callback node to process results after subgraph graph.add_node("CugaLiteCallback", self.cuga_lite.callback_node) # Add CugaSupervisor node so conditional edges from TaskAnalyzer validate. # When supervisor is disabled, use a stub that routes to CugaLite (never taken at runtime). if getattr(settings.supervisor, 'enabled', False): graph.add_node(self.cuga_supervisor.name, self.cuga_supervisor.node) # Load supervisor config from YAML if specified supervisor_config_path = getattr(settings.supervisor, 'config_path', '') agents = {} supervisor_config = None # Store loaded config for later use if supervisor_config_path: # Load from YAML file import os from cuga.supervisor_utils.supervisor_config import load_supervisor_config config_path = os.path.join(os.getcwd(), supervisor_config_path) if not os.path.isabs(supervisor_config_path): # Try relative to project root config_path = os.path.join(os.getcwd(), supervisor_config_path) if os.path.exists(config_path): try: logger.info(f"Loading supervisor config from: {config_path}") supervisor_config = await load_supervisor_config(config_path) # Extract agents from config - load_supervisor_config returns SupervisorConfig with agents dict agents = supervisor_config.agents logger.info(f"Loaded {len(agents)} agents from supervisor config") except Exception as e: logger.error( f"Failed to load supervisor config from {config_path}: {e}", exc_info=True ) else: logger.warning(f"Supervisor config file not found: {config_path}") # If no config or config failed, create default 3-agent setup if not agents: from cuga.sdk import CugaAgent from langchain_core.tools import tool # Create default tools for demo @tool def get_customers() -> str: """Get customer data from CRM""" return "Customer data: C001, C002, C003" @tool def get_customer_details(customer_id: str) -> str: """Get detailed customer information""" return f"Customer {customer_id} details: Name, Email, Status" @tool def update_customer(customer_id: str, data: str) -> str: """Update customer information""" return f"Updated customer {customer_id} with {data}" @tool def send_email(to: str, subject: str, body: str = "") -> str: """Send email to recipient""" return f"Email sent to {to} with subject: {subject}" @tool def get_email_templates() -> str: """Get available email templates""" return "Available templates: welcome, followup, invoice" @tool def create_email_draft(to: str, subject: str) -> str: """Create email draft""" return f"Created draft email to {to} with subject: {subject}" @tool def read_file(path: str) -> str: """Read file content""" return f"Content of {path}: [file content here]" @tool def write_file(path: str, content: str) -> str: """Write content to file""" return f"Written {len(content)} bytes to {path}" @tool def list_files(directory: str = ".") -> str: """List files in directory""" return f"Files in {directory}: file1.txt, file2.txt" # Create default agents with tools agents = { "crm_agent": CugaAgent( tools=[get_customers, get_customer_details, update_customer], special_instructions="You are a CRM specialist. Focus on customer data management, account information, and sales operations.", ), "email_agent": CugaAgent( tools=[send_email, get_email_templates, create_email_draft], special_instructions="You are an email specialist. Focus on email communication, templates, and email campaigns.", ), "filesystem_agent": CugaAgent( tools=[read_file, write_file, list_files], special_instructions="You are a filesystem specialist. Focus on file operations, reading and writing files, and organizing documents.", ), } # Create supervisor model — reuse the same merged config as the main agent supervisor_model_config = model_config.copy() supervisor_model = llm_manager.get_model(supervisor_model_config) # Create supervisor subgraph supervisor_subgraph = create_cuga_supervisor_graph( supervisor_model=supervisor_model, agents=agents, ) # Compile and add as subgraph node compiled_supervisor_subgraph = supervisor_subgraph.compile() graph.add_node("CugaSupervisorSubgraph", compiled_supervisor_subgraph) self.cuga_supervisor.set_subgraph(compiled_supervisor_subgraph) # Add callback node to process results after supervisor subgraph graph.add_node("CugaSupervisorCallback", self.cuga_supervisor.callback_node) else: async def _cuga_supervisor_stub(state, config=None): from langgraph.types import Command return Command(update=state.model_dump(), goto="CugaLite") graph.add_node(self.cuga_supervisor.name, _cuga_supervisor_stub) def add_edges(self, graph): graph.add_edge(START, self.chat.chat_agent.name) graph.add_edge( self.task_decomposition_agent.task_decomposition_agent.name, self.plan_controller_agent.plan_controller_agent.name, ) graph.add_edge(self.interrupt_tool_node.name, self.plan_controller_agent.plan_controller_agent.name) graph.add_edge(self.qa.qa_agent.name, self.planner.browser_planner_agent.name) graph.add_edge(self.final_answer_agent.final_answer_agent.name, END) graph.add_edge(self.action_agent.action_agent.name, self.planner.browser_planner_agent.name) # CugaLite subgraph flow: CugaLiteSubgraph -> CugaLiteCallback graph.add_edge("CugaLiteSubgraph", "CugaLiteCallback") # CugaSupervisor subgraph flow: CugaSupervisorSubgraph -> CugaSupervisorCallback if getattr(settings.supervisor, 'enabled', False): graph.add_edge("CugaSupervisorSubgraph", "CugaSupervisorCallback") ================================================ FILE: src/cuga/backend/cuga_graph/nodes/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer.py ================================================ import json from typing import Literal, Dict, Callable from langchain_core.messages import AIMessage from langgraph.types import Command from loguru import logger from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.cuga_graph.nodes.answer.final_answer_agent.final_answer_agent import FinalAnswerAgent from cuga.backend.cuga_graph.nodes.answer.final_answer_agent.prompts.load_prompt import FinalAnswerOutput from cuga.backend.cuga_graph.nodes.shared.base_node import BaseNode from cuga.backend.cuga_graph.nodes.human_in_the_loop.followup_model import ( create_save_reuse_action, create_get_more_utterances, ) from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.config import settings from cuga.backend.cuga_graph.utils.nodes_names import NodeNames, ActionIds, MessagePrefixes tracker = ActivityTracker() # Feature flag for human-in-the-loop functionality ENABLE_SAVE_REUSE = settings.features.save_reuse class HumanInTheLoopHandler: """Simple handler for human-in-the-loop interactions""" def __init__(self): self._action_handlers: Dict[str, Callable] = { ActionIds.SAVE_REUSE: self._handle_save_reuse, ActionIds.SAVE_REUSE_INTENT: self._handle_save_reuse_intent, } def handle_human_response(self, state: AgentState, node_name: str) -> Command: """Handle any human response based on action_id""" action_id = state.hitl_response.action_id if action_id in self._action_handlers: return self._action_handlers[action_id](state, node_name) # Default fallback return Command(update=state.model_dump(), goto=NodeNames.END) def add_action_handler(self, action_id: str, handler: Callable): """Add a custom action handler""" self._action_handlers[action_id] = handler def _handle_save_reuse(self, state: AgentState, node_name: str) -> Command: """Handle save/reuse action - get more utterances""" state.hitl_action = create_get_more_utterances() state.sender = node_name return Command(update=state.model_dump(), goto=NodeNames.SUGGEST_HUMAN_ACTIONS) def _handle_save_reuse_intent(self, state: AgentState, node_name: str) -> Command: """Handle save/reuse intent - go to reuse agent""" state.sender = node_name return Command(update=state.model_dump(), goto=NodeNames.REUSE_AGENT) class FinalAnswerNode(BaseNode): def __init__(self, final_answer_agent: FinalAnswerAgent): super().__init__() self.final_answer_agent = final_answer_agent self.hitl_handler = HumanInTheLoopHandler() agent = self.final_answer_agent name = self.final_answer_agent.name hitl_handler = self.hitl_handler async def node(state: AgentState): return await FinalAnswerNode.node_handler( state, agent=agent, name=name, hitl_handler=hitl_handler ) self.node = node @staticmethod async def node_handler( state: AgentState, agent: FinalAnswerAgent, name: str, hitl_handler: HumanInTheLoopHandler ) -> Command[Literal["__end__", "SuggestHumanActions", "ReuseAgent"]]: # Handle human responses (only if HITL is enabled) if ENABLE_SAVE_REUSE and state.sender == NodeNames.WAIT_FOR_RESPONSE: return hitl_handler.handle_human_response(state, name) # Handle direct chat calls (no processing needed) if state.sender == NodeNames.CHAT_AGENT: state.sender = name final_answer_content = state.chat_agent_messages[-1].content state.final_answer = final_answer_content final_answer_output = FinalAnswerOutput( thoughts=["Chat response provided directly."], final_answer=final_answer_content ) state.messages.append(AIMessage(content=final_answer_output.model_dump_json(), name=name)) tracker.collect_step(step=Step(name=name, data=final_answer_output.model_dump_json())) return Command(update=state.model_dump(), goto=NodeNames.END) # Handle TaskAnalyzerAgent when final_answer is already set (no apps matched) if state.sender == NodeNames.TASK_ANALYZER_AGENT and state.final_answer: state.sender = name final_answer_output = FinalAnswerOutput( thoughts=[ "No applications matched the request. Providing available applications information." ], final_answer=state.final_answer, ) state.messages.append(AIMessage(content=final_answer_output.model_dump_json(), name=name)) tracker.collect_step(step=Step(name=name, data=final_answer_output.model_dump_json())) return Command(update=state.model_dump(), goto=NodeNames.END) if state.sender == NodeNames.CUGA_LITE: state.sender = name state.final_answer = state.final_answer state.sender = name final_answer_output = FinalAnswerOutput( thoughts=[], final_answer=state.final_answer, ) state.messages.append(AIMessage(content=final_answer_output.model_dump_json(), name=name)) tracker.collect_step(step=Step(name=name, data=final_answer_output.model_dump_json())) return Command(update=state.model_dump(), goto=NodeNames.END) # Handle supervisor callback - forward answer without regeneration (especially for lite mode) if state.sender == NodeNames.CUGA_SUPERVISOR: state.sender = name # Use final_answer if available, otherwise use last_planner_answer # For lite mode, the supervisor already generated the final answer answer_to_forward = state.final_answer or state.last_planner_answer or "" if answer_to_forward: state.final_answer = answer_to_forward final_answer_output = FinalAnswerOutput( thoughts=[], final_answer=answer_to_forward, ) state.messages.append(AIMessage(content=final_answer_output.model_dump_json(), name=name)) tracker.collect_step(step=Step(name=name, data=final_answer_output.model_dump_json())) return Command(update=state.model_dump(), goto=NodeNames.END) else: # Fallback: if no answer found, still forward empty answer to avoid regeneration logger.warning( "Supervisor callback: no final_answer or last_planner_answer found, forwarding empty answer" ) state.final_answer = "" final_answer_output = FinalAnswerOutput( thoughts=[], final_answer="", ) state.messages.append(AIMessage(content=final_answer_output.model_dump_json(), name=name)) tracker.collect_step(step=Step(name=name, data=final_answer_output.model_dump_json())) return Command(update=state.model_dump(), goto=NodeNames.END) # Main processing: generate final answer await FinalAnswerNode._generate_final_answer(state, agent, name) # Route based on sender (only suggest human actions if HITL is enabled) # Allow save/reuse from both PlanControllerAgent (task decomposition mode) and ChatAgent (chat mode) if ENABLE_SAVE_REUSE and state.sender == NodeNames.PLAN_CONTROLLER_AGENT: state.hitl_action = create_save_reuse_action() state.sender = name return Command(update=state.model_dump(), goto=NodeNames.SUGGEST_HUMAN_ACTIONS) else: return Command(update=state.model_dump(), goto=NodeNames.END) @staticmethod async def _generate_final_answer(state: AgentState, agent: FinalAnswerAgent, name: str): """Generate and process the final answer""" # Run the agent response = await agent.run(state) state.messages.append(response) # Parse and process output final_answer_output = FinalAnswerOutput(**json.loads(response.content)) # Add to chat if enabled if settings.features.chat: chat_message = f"{MessagePrefixes.ANSWER_PREFIX}{final_answer_output.final_answer}" state.append_to_last_chat_message(chat_message) # Track the step tracker.collect_step(Step(name=name, data=final_answer_output.model_dump_json())) # Replace variables and update state final_answer_output.final_answer = state.variables_manager.replace_variables_placeholders( final_answer_output.final_answer ) state.final_answer = final_answer_output.final_answer ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/final_answer_agent.py ================================================ import json from typing import Any, Literal, Union from langchain_core.language_models import BaseChatModel from langchain_core.messages import AIMessage from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import RunnableLambda from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.cuga_graph.nodes.answer.final_answer_agent.prompts.load_prompt import ( FinalAnswerOutput, FinalAnswerAppworldOutput, appworld_plain_post_llm_runnable, load_appworld_final_answer_prompt, load_appworld_plain_final_answer_prompt, parser, ) from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.llm.errors import ainvoke_with_retry_on_tool_choice_none from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple from cuga.config import settings from cuga.backend.activity_tracker.tracker import ActivityTracker from cuga.configurations.instructions_manager import InstructionsManager instructions_manager = InstructionsManager() llm_manager = LLMManager() tracker = ActivityTracker() class FinalAnswerAgent(BaseAgent): def __init__( self, prompt_template: ChatPromptTemplate, llm: BaseChatModel, mode: Literal['default', 'appworld', 'appworld_plain'] = 'default', tools: Any = None, ): super().__init__() self.name = "FinalAnswerAgent" self._mode = mode parser = RunnableLambda(FinalAnswerAgent.output_parser) parser_default = RunnableLambda(FinalAnswerAgent.default_answer_parser) if mode == "default": self.chain = BaseAgent.get_chain(prompt_template, llm, wx_json_mode="no_format") | ( parser_default.bind(name=self.name) ) elif mode == "appworld_plain": self.chain = ( BaseAgent.get_chain(prompt_template, llm, wx_json_mode="no_format") | appworld_plain_post_llm_runnable() | parser.bind(name=self.name) ) else: self.chain = BaseAgent.get_chain(prompt_template, llm, FinalAnswerAppworldOutput) | ( parser.bind(name=self.name) ) @staticmethod def default_answer_parser(result: AIMessage, name): result = AIMessage( content=FinalAnswerOutput(thoughts=[], final_answer=result.content).model_dump_json(), name=name ) return result @staticmethod def output_parser(result: Union[FinalAnswerOutput, FinalAnswerAppworldOutput], name) -> Any: result = AIMessage(content=json.dumps(result.model_dump()), name=name) return result async def run(self, input_variables: AgentState) -> AIMessage: if settings.features.final_answer: data = input_variables.model_dump() data["variable_summary"] = input_variables.variables_manager.get_variables_summary(last_n=2) data["instructions"] = instructions_manager.get_instructions(self.name) if self._mode == "appworld_plain": return await ainvoke_with_retry_on_tool_choice_none(self.chain, data) return await self.chain.ainvoke(data) else: last_variable_name, last_variable = input_variables.variables_manager.get_last_variable() return AIMessage( content=json.dumps( FinalAnswerOutput( final_answer=input_variables.final_answer if input_variables.sender == "ReuseAgent" else input_variables.last_planner_answer + ( f"\n\n{last_variable.description}\n\n---\n\n{input_variables.variables_manager.present_variable(last_variable_name)}" if last_variable_name else "" ), thoughts=["Skipping final answer, using last agent answer"], ).model_dump() ) ) @staticmethod def create(): dyna_model = settings.agent.final_answer.model if settings.advanced_features.benchmark == "appworld": if getattr(settings.advanced_features, "appworld_final_answer_plain", False): return FinalAnswerAgent( prompt_template=load_appworld_plain_final_answer_prompt(model_config=dyna_model), mode="appworld_plain", llm=llm_manager.get_model(dyna_model), ) return FinalAnswerAgent( prompt_template=load_appworld_final_answer_prompt(model_config=dyna_model), mode="appworld", llm=llm_manager.get_model(dyna_model), ) else: return FinalAnswerAgent( prompt_template=load_prompt_simple( "./prompts/system.jinja2", "./prompts/user_msg.jinja2", model_config=dyna_model, format_instructions=BaseAgent.get_format_instructions(parser), ), llm=llm_manager.get_model(dyna_model), ) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/load_prompt.py ================================================ import re from typing import List, Literal, Any, Optional from langchain_core.output_parsers import PydanticOutputParser from langchain_core.prompts import ChatPromptTemplate from langchain_core.runnables import RunnableLambda from pydantic import BaseModel, Field from cuga.backend.llm.utils.helpers import load_prompt_simple _ANSWER_LINE = re.compile( r"(?is)(?:^|\n)\s*(?:completion\s+)?answer:\s*(.*)$", ) class FinalAnswerOutput(BaseModel): thoughts: List[str] = Field(..., description="Your thoughts that leads to final answer") final_answer: str = Field(..., description="Final answer") class FinalAnswerAppworldOutput(BaseModel): """ Represents the output structure for the AI assistant's response. """ thoughts: List[str] = Field( ..., description="A list of strings, where each string is a distinct point in the reasoning process for arriving at the final_answer.", ) final_answer: str = Field( ..., description="The determined output value based on the user intent and system answer. Can be an empty string, a specific extracted value, or the original system answer.", ) final_answer_type: Literal['str', 'int', 'float'] = Field( ..., description="The Python data type of the final_answer. Must be 'str', 'int', or 'float'." ) parser = PydanticOutputParser(pydantic_object=FinalAnswerOutput) def load_appworld_final_answer_prompt(model_config: Optional[Any] = None) -> ChatPromptTemplate: """Chat prompt for AppWorld benchmark final-answer formatting (system + user templates).""" return load_prompt_simple( "system_appworld.jinja2", "user_msg_appworld.jinja2", model_config=model_config, relative_to_caller=True, ) def load_appworld_plain_final_answer_prompt(model_config: Optional[Any] = None) -> ChatPromptTemplate: """AppWorld final-answer prompts: plain `answer:` line, no JSON (see system_appworld_plain.jinja2).""" return load_prompt_simple( "system_appworld_plain.jinja2", "user_msg_appworld_plain.jinja2", model_config=model_config, relative_to_caller=True, ) def parse_appworld_plain_completion(raw: str) -> str: """Parse `answer:` / `completion answer:` line; strip fences and whitespace.""" text = (raw or "").strip() text = re.sub(r"^```\w*\s*", "", text) text = re.sub(r"\s*```$", "", text) text = text.strip() m = _ANSWER_LINE.search(text) if m: return m.group(1).strip() return text def appworld_plain_llm_to_structured(msg: Any) -> FinalAnswerAppworldOutput: """Map raw LLM message content to FinalAnswerAppworldOutput (thoughts empty, type str).""" from langchain_core.messages import BaseMessage if isinstance(msg, BaseMessage): raw = msg.content else: raw = msg if not isinstance(raw, str): raw = str(raw) final = parse_appworld_plain_completion(raw) return FinalAnswerAppworldOutput( thoughts=[], final_answer=final, final_answer_type="str", ) def appworld_plain_post_llm_runnable() -> RunnableLambda: return RunnableLambda(appworld_plain_llm_to_structured) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/system.jinja2 ================================================ You are an expert answer generation system. Your goal is to refine an initial draft answer into a very concise, informative, and naturally worded response, incorporating relevant details from available variables. The final output must use clear and effective markdown for readability. # Inputs: 1. **user_intent**: The core request or question from the user. 2. **initial_draft_answer**: An initial attempt at answering the user's intent. This might be raw, incomplete, or lack proper formatting. 3. **variable_summary**: A summary of key-value pairs representing available information. This information should be seamlessly integrated into the final answer where relevant. # Constraints & Guidelines: * **Conciseness is paramount**: Get straight to the point. Eliminate any redundant words, phrases, or conversational fillers. * **Information Density**: Pack as much relevant information as possible into the answer without sacrificing conciseness. * **Natural Language**: The answer should read smoothly and naturally, as if written by a human. * **Markdown Formatting**: Use appropriate markdown (e.g., **bolding**, *italics*, lists, headings if absolutely necessary for complex structures) to enhance readability and highlight key information. Do not use excessive or unnecessary markdown. * **Integration**: Seamlessly weave information from `variable_summary` into the `initial_draft_answer` to enrich the response. * **Tone**: Be informative and helpful. * **No Placeholders**: Do not include any placeholders for missing information. If information is not available in the `variable_summary` or `initial_draft_answer`, do not invent it. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} # Output Structure: A single, well-formatted, concise answer, but lists e.g. all things requested by user intent ( e.g. names, list of things ). ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/system_appworld.jinja2 ================================================ You're an AI assistant that processes user intents and the corresponding system answers. Your task is to analyze the input and then provide a single, valid JSON object as your response. This JSON object must contain your reasoning (`thoughts`), the determined output value (`final_answer`), and the Python data type of that value (`final_answer_type`), with `thoughts` being the first key in the JSON structure. ### Your Goal: Based on the `user_intent` and `system_answer`: 1. **Determine `final_answer`:** * **Single Value Intent:** If the `user_intent` clearly requires returning a single, specific piece of information, and the `system_answer` contains this information, your `final_answer` should be **only that specific value extracted from the system_answer**. For example, if the intent is "What is your ID?" and the answer is "My ID is 123", the `final_answer` is "123". If the intent is "What is the temperature?" and the answer is "It's 25°C", the `final_answer` is "25°C". * **Verbatim strings and notes:** When the intent asks to **retrieve**, **read**, or **return** a note, message, memo, or other free-form string, copy the text **exactly** — preserve punctuation that belongs to the content (periods, commas, apostrophes, ellipsis `...`, etc.) and do not paraphrase or drop trailing characters for neatness. Strip only clearly separable framing (e.g. a `Note content:` prefix) when the benchmark expects the body alone. * **Calculation Intent:** If the `user_intent` requires summing, calculating, or combining multiple values from the `system_answer`, your `final_answer` should be **the calculated result**. For example, if the intent asks for "total amount sent and received" and the answer provides separate amounts, sum them for the `final_answer`. * **Update/Action Intent:** If the `user_intent` primarily describes an update, a setting change, or an action that doesn't logically return a data value (e.g., "turn on light," "set volume"), your `final_answer` should be an **N/A (`"N/A"`)**, even if the system provides a confirmation message. * **Other Cases:** For all other scenarios (e.g., the system indicates an error, the answer is purely conversational, the intent requires a complex structured output not fitting the above, or the system cannot fulfill the request), your `final_answer` should be the **original `system_answer`**. 2. **Formulate `thoughts`:** * Briefly explain your reasoning for arriving at the `final_answer`. * Mention how the `user_intent` and `system_answer` led to your decision (e.g., value extraction vs. update/action → `"N/A"`). * Explain your choice for `final_answer_type` using the rules below (match the literal string to the shape of `final_answer`). * **`thoughts` must be a JSON array of strings** (a list in JSON), not one long string. 3. **Determine `final_answer_type`:** * Based *only* on the final `final_answer` you've decided: * If `final_answer` is (`"N/A"`), `final_answer_type` is `str`. * If `final_answer` consists *exclusively* of digits, optionally with a leading minus sign (e.g., "7", "0", "98765", "-12"), `final_answer_type` is `int`. * If `final_answer` consists *exclusively* of digits and one decimal point, optionally with a leading minus sign (e.g., "7.0", "0.0", "19.99", "-0.54", "100."), `final_answer_type` is `float`. * In all other cases (e.g., "25°C", "MyHomeNetwork", "Error message", "Okay, done."), `final_answer_type` is `str`. * **Literal values only:** In JSON, `final_answer_type` must be exactly one of the three strings **`"str"`**, **`"int"`**, or **`"float"`** — never `"string"`, `"integer"`, `"number"`, or bare words without quotes. ### Output Format: Your response for each input pair MUST be a single, valid JSON object with `thoughts` as the first key, structured exactly as follows: ```json { "thoughts": [ "Your first reasoning point here", "Your second reasoning point here", "..." ], "final_answer": "Determined output value", "final_answer_type": "int" } ``` *(Note: `final_answer` is always a JSON string. `final_answer_type` is the separate field that records whether that string looks like a whole number, decimal, or general text.)* --- ### Few-Shot Examples: **Input:** * `user_intent`: "What is the current temperature in Celsius?" * `system_answer`: "The current temperature is 25°C." **Output:** ```json { "thoughts": [ "The user intent asks for a single specific value: the current temperature.", "The system answer provides 'The current temperature is 25°C.' The specific value to extract is '25°C'.", "Since '25°C' contains non-numeric characters (°C) alongside the number, final_answer_type is \"str\"." ], "final_answer": "25°C", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "Set the thermostat to 22 degrees." * `system_answer`: "Okay, I've set the thermostat to 22 degrees." **Output:** ```json { "thoughts": [ "The user intent 'Set the thermostat to 22 degrees.' is an update action.", "It does not require a value to be returned, only confirmation.", "Per rules, use final_answer \"N/A\" for this case.", "N/A is typed as str." ], "final_answer": "N/A", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "Get my account balance." * `system_answer`: "Your current account balance is $1,250.75." **Output:** ```json { "thoughts": [ "The user intent 'Get my account balance.' requests a single specific value.", "The system answer is 'Your current account balance is $1,250.75.' The specific value to extract is '$1,250.75'.", "After stripping currency formatting, \"1250.75\" has one decimal point, so final_answer_type is \"float\"." ], "final_answer": "1250.75", "final_answer_type": "float" } ``` **Input:** * `user_intent`: "How many total calories did I burn from cardio and strength training this week?" * `system_answer`: "This week you burned 1,245 calories from cardio workouts and 892 calories from strength training sessions. These totals were calculated by analyzing your fitness tracker data and summing the calories burned for each workout type." **Output:** ```json { "thoughts": [ "The user intent 'How many total calories did I burn from cardio and strength training this week?' requests the sum of calories burned from two different workout types.", "The system answer provides two specific values: 1,245 calories from cardio and 892 calories from strength training.", "To get the total calories burned, I need to sum these values: 1,245 + 892 = 2,137.", "The string \"2137\" is digits only, so final_answer_type is int." ], "final_answer": "2137", "final_answer_type": "int" } ``` **Input:** * `user_intent`: "Turn on the living room lights." * `system_answer`: "Done. The living room lights are now on." **Output:** ```json { "thoughts": [ "The user intent 'Turn on the living room lights.' describes an action.", "It does not inherently return a value.", "Per rules, use final_answer \"N/A\".", "N/A is typed as str." ], "final_answer": "N/A", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "What's the name of the current Wi-Fi network?" * `system_answer`: "You are connected to 'MyHomeNetwork'." **Output:** ```json { "thoughts": [ "The user intent asks for a single specific value: the Wi-Fi network name.", "The system answer is 'You are connected to \\'MyHomeNetwork\\'.' The specific value is 'MyHomeNetwork'.", "This is general text, so final_answer_type is \"str\"." ], "final_answer": "MyHomeNetwork", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "Add milk to my shopping list." * `system_answer`: "I've added milk to your shopping list." **Output:** ```json { "thoughts": [ "The user intent 'Add milk to my shopping list.' is an update action (modifying a list).", "It doesn't require a value to be returned.", "Per rules, use final_answer \"N/A\", typed as str." ], "final_answer": "N/A", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "What is my user ID?" * `system_answer`: "Your user ID is 98765." **Output:** ```json { "thoughts": [ "The user intent asks for a single specific value: the user ID.", "The system answer is 'Your user ID is 98765.' The specific value to extract is '98765'.", "This value consists only of digits and represents a whole number.", "Therefore, final_answer_type is \"int\"." ], "final_answer": "98765", "final_answer_type": "int" } ``` **Input:** * `user_intent`: "Tell me a joke." * `system_answer`: "Why don't scientists trust atoms? Because they make up everything!" **Output:** ```json { "thoughts": [ "The user intent 'Tell me a joke.' requests conversational content, not a specific extractable data value.", "The system provides a joke.", "This falls under 'Other Cases', so the original system answer is returned.", "The joke text is general text, so final_answer_type is \"str\"." ], "final_answer": "Why don't scientists trust atoms? Because they make up everything!", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "Change my password." * `system_answer`: "Password updated successfully." **Output:** ```json { "thoughts": [ "The user intent 'Change my password.' is an update action.", "It doesn't return a value, only a confirmation.", "Per rules, use final_answer \"N/A\", typed as str." ], "final_answer": "N/A", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "What is the capital of France?" * `system_answer`: "The capital of France is Paris." **Output:** ```json { "thoughts": [ "The user intent asks for a single specific value: the capital of France.", "The system answer is 'The capital of France is Paris.' The specific value to extract is 'Paris'.", "This is general text, so final_answer_type is \"str\"." ], "final_answer": "Paris", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "Set a reminder for tomorrow at 9 AM to call John." * `system_answer`: "Reminder set: Call John tomorrow at 9 AM." **Output:** ```json { "thoughts": [ "The user intent 'Set a reminder...' is an action to create something.", "It does not return a queryable value from the system at this stage, only confirmation.", "Per rules, use final_answer \"N/A\", typed as str." ], "final_answer": "N/A", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "Find the nearest coffee shop." * `system_answer`: "I'm sorry, I couldn't retrieve your current location. Please enable location services." **Output:** ```json { "thoughts": [ "The system indicates an error or inability to fulfill the request directly.", "This falls under 'Other Cases'.", "The original system answer should be returned.", "The full message is general text, so final_answer_type is \"str\"." ], "final_answer": "I'm sorry, I couldn't retrieve your current location. Please enable location services.", "final_answer_type": "str" } ``` **Input:** * `user_intent`: "What is the item's precise price?" * `system_answer`: "The price of the item is 19.99 exactly." **Output:** ```json { "thoughts": [ "The user intent asks for a single specific value: the item's price.", "The system answer is 'The price of the item is 19.99 exactly.' The specific value to extract is '19.99'.", "This value consists only of digits and a decimal point, representing a floating-point number.", "Therefore, final_answer_type is \"float\"." ], "final_answer": "19.99", "final_answer_type": "float" } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/system_appworld_plain.jinja2 ================================================ You turn a **user intent** plus a **system answer** into a single final value for downstream completion checks. Do **not** use JSON. Do **not** output a type field. ### Output format (required) Respond with **only** a completion line in this shape (pick one prefix — both are accepted): - `answer: ` - `completion answer: ` Rules: - Output **nothing else**: no JSON, no markdown fences, no `thoughts`, no explanation before or after the line (unless the value itself must span lines — then use one prefix line and put the value on following lines; see below). - **Strip** only **outer** leading/trailing whitespace from ``. Do **not** remove punctuation that is part of the answer (including trailing periods, commas, or ellipsis `...`). - **Currency / money amounts:** When the answer is a monetary value, output **only the numeric part** — remove currency symbols (`$`, `€`, `£`, `¥`, etc.), thousands separators (commas), and surrounding words. Use **no decimal part** → output as an integer text (e.g. `1250`); **with a fractional part** → output as a decimal text (e.g. `1250.75`). Do not keep `$`, `USD`, or comma groupings in ``. - **Durations, counts, and unit stripping:** When the intent asks **how long**, **how many minutes/hours/seconds**, or similar and `system_answer` gives a duration, output **only the number** in the relevant unit — strip unit words (`minutes`, `mins`, `minute`, `hours`, `hrs`, `seconds`, `secs`, etc.). Example: `answer: 45` — **not** `answer: 45 minutes`. Same for other scalars if the task expects a bare number (e.g. step count `8200` not `8200 steps`). **Exception:** Keep composed readings where the benchmark expects them (e.g. temperatures like `25°C` when the answer is inherently tied to that symbol). - **Totals, sums, and combining amounts:** If `user_intent` asks for a **total**, **combined**, **overall**, **how much in all**, **sent and received** (as one figure), **this month so far**, or similar, you must **compute one number** from everything relevant in `system_answer` (usually **add** the parts — e.g. two bill lines, sent + received, or all line items). Output **a single** numeric `` after **Currency / money amounts** rules. Do **not** output comma-separated partials like `84.50, 31.25` unless the user explicitly asked for separate figures or a list. Same idea as **Calculation Intent** in the JSON prompt: summing / combining when the task demands it. - **Entity / extraction tasks:** When the intent asks for one concrete thing (an ID, name, note body, email, price, temperature string, etc.), `` is **only that entity** — not a sentence, not `"The answer is …"`, not quotes unless the entity itself contains quotes. - **Notes, messages, and arbitrary strings:** When the task is to **retrieve**, **read**, or **return** a note, memo, message, caption, or other verbatim text, copy it **faithfully** from `system_answer` (after dropping only a clear label prefix like `Note content:` if the benchmark expects the body alone). Preserve **all meaningful punctuation and detail** — periods, commas, apostrophes, ellipsis (`...`), line breaks where needed — and do **not** paraphrase, summarize, or “clean up” the wording. ### Same task types as the JSON variant (simplified) 1. **Single value / entity:** Extract exactly the requested piece from `system_answer` (e.g. “What is your ID?” → digits only if that’s what’s asked; “extract the note” → the **full** note text, punctuation intact). 2. **List / several items:** If the intent asks for a **list** (e.g. user names, emails, “each amount”), put comma-separated entries or multiline as specified. Do **not** confuse this with an aggregate: “total / how much overall / sent and received” → one combined number (see **Totals, sums, and combining amounts** above), not a list of parts. 3. **Calculation:** If the intent requires summing, averaging, or otherwise **combining** multiple numbers in `system_answer`, `` is the **single computed result** as text (e.g. `2137` or `1592.00`). Strip currency formatting from operands and from the final numeric result the same way as in **Currency / money amounts** above. 4. **Update / action / no return value:** If the intent is only an action or setting change with no sensible extractable datum, use exactly: `answer: N/A` 5. **Errors / conversational / fallback:** If the right response is the full system message (error text, joke, refusal), use that full text as `` after `answer:`. ### Multiline values If `` must contain newlines (e.g. a long note), use: ``` answer: ``` Or a single line with `\n` escaped only if the benchmark expects literal newlines — prefer real newlines after `answer:` as shown. ### Few-shot (plain completion only) **Input:** `user_intent`: "What is the current temperature in Celsius?" · `system_answer`: "The current temperature is 25°C." **Output:** `answer: 25°C` **Input:** `user_intent`: "extract a note" · `system_answer`: "Note content: Remember to call Dana tomorrow." **Output:** `answer: Remember to call Dana tomorrow.` **Input:** `user_intent`: "What does the sticky note say?" · `system_answer`: "The note says: Finish the report... then email Pat." **Output:** `answer: Finish the report... then email Pat.` **Input:** `user_intent`: "list the user names" · `system_answer`: "Active users: Alice, Bob, Carol." **Output:** `answer: Alice, Bob, Carol` **Input:** `user_intent`: "Set the thermostat to 22 degrees." · `system_answer`: "Okay, I've set the thermostat to 22 degrees." **Output:** `answer: N/A` **Input:** `user_intent`: "How many total calories from cardio and strength?" · `system_answer`: "You burned 1,245 from cardio and 892 from strength." **Output:** `answer: 2137` **Input:** `user_intent`: "How long did my last focus session run?" · `system_answer`: "Your last focus session lasted 45 minutes." **Output:** `answer: 45` **Input:** `user_intent`: "What was my total utility charge for electricity and gas this billing period?" · `system_answer`: "Electricity: $84.50. Gas: $31.25." **Output:** `answer: 115.75` **Input:** `user_intent`: "Get my account balance." · `system_answer`: "Your current account balance is $1,250.75." **Output:** `answer: 1250.75` **Input:** `user_intent`: "What's the name of the current Wi-Fi network?" · `system_answer`: "You are connected to 'MyHomeNetwork'." **Output:** `answer: MyHomeNetwork` **Input:** `user_intent`: "What is the capital of France?" · `system_answer`: "The capital of France is Paris." **Output:** `answer: Paris` **Input:** `user_intent`: "What is the item's precise price?" · `system_answer`: "The price of the item is 19.99 exactly." **Output:** `answer: 19.99` **Input:** `user_intent`: "What is my user ID?" · `system_answer`: "Your user ID is 98765." **Output:** `completion answer: 98765` **Input:** `user_intent`: "Turn on the living room lights." · `system_answer`: "Done. The living room lights are now on." **Output:** `answer: N/A` **Input:** `user_intent`: "Add milk to my shopping list." · `system_answer`: "I've added milk to your shopping list." **Output:** `answer: N/A` **Input:** `user_intent`: "Tell me a joke." · `system_answer`: "Why don't scientists trust atoms? Because they make up everything!" **Output:** `answer: Why don't scientists trust atoms? Because they make up everything!` **Input:** `user_intent`: "Change my password." · `system_answer`: "Password updated successfully." **Output:** `answer: N/A` **Input:** `user_intent`: "Set a reminder for tomorrow at 9 AM to call John." · `system_answer`: "Reminder set: Call John tomorrow at 9 AM." **Output:** `answer: N/A` **Input:** `user_intent`: "Find the nearest coffee shop." · `system_answer`: "I'm sorry, I couldn't retrieve your current location. Please enable location services." **Output:** `answer: I'm sorry, I couldn't retrieve your current location. Please enable location services.` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/system_concise.jinja2 ================================================ You are an expert answer generation system. Your goal is to refine an initial draft answer into a very concise, informative, and naturally worded response, incorporating relevant details from available variables. The final output must use clear and effective markdown for readability. # Inputs: 1. **user_intent**: The core request or question from the user. 2. **initial_draft_answer**: An initial attempt at answering the user's intent. This might be raw, incomplete, or lack proper formatting. 3. **variable_summary**: A summary of key-value pairs representing available information. This information should be seamlessly integrated into the final answer where relevant. # Constraints & Guidelines: * **Conciseness is paramount**: Get straight to the point. Eliminate any redundant words, phrases, or conversational fillers. * **Information Density**: Pack as much relevant information as possible into the answer without sacrificing conciseness. * **Natural Language**: The answer should read smoothly and naturally, as if written by a human. * **Markdown Formatting**: Use appropriate markdown (e.g., **bolding**, *italics*, lists, headings if absolutely necessary for complex structures) to enhance readability and highlight key information. Do not use excessive or unnecessary markdown. * **Integration**: Seamlessly weave information from `variable_summary` into the `initial_draft_answer` to enrich the response. * **Tone**: Be informative and helpful. * **No Placeholders**: Do not include any placeholders for missing information. If information is not available in the `variable_summary` or `initial_draft_answer`, do not invent it. # Output Structure: A single, well-formatted, concise answer, but lists e.g. all things requested by user intent ( e.g. names, list of things ). ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/system_long.jinja2 ================================================ You are an intelligent final answer agent as part of a web agent system that can perform tasks on behalf of a user. Your task is to provide the final answer to be presented to the user based on an initial draft answer, computed by the web agent system. Your final answers will be evaluated in a benchmark, so you should be as precise as possible and rigorously follow the special instructions below when providing the final answer. # Inputs: 1. user_intent: The overarching intent. 2. initial_draft_answer: The initial draft answer, as provided by the agent system. 3. variable_summary: A summary of available variables that can be referenced in the final answer using placeholder syntax. # Special instructions: 1. Always provide natural language answers that are clear, complete, and contextual rather than returning just raw values or single entities. 2. Structure your answers to be conversational and informative, providing context around the data when helpful. 3. **Variable Reference**: If the draft answer relates to any variable mentioned in the variable_summary, structure your final answer to include the variable name in curly braces (e.g., `{variable_name}`) so it can be externally replaced with the full value. This allows for dynamic content insertion while maintaining the natural flow of the response. 4. **Variable Formatting**: For simple variables (strings, numbers), integrate them naturally within sentences. For complex variables (lists, dictionaries), place them on a separate new line after introductory text. # Variable Summary Format: The variable_summary will be provided in this format: ``` ## variable_name - Type: data_type - Items: count - Description: brief description - Created: timestamp - Value Preview: preview_of_value ``` When referencing variables in your final answer, use the format: `{variable_name}` # Output: Provide only the final answer in natural language or markdown format as plain text. ========== # Example 1: user_intent: "Get the total payment amount of the last 2 completed orders" initial_draft_answer: "The sum of the 'Grand Total (Purchased)' values for the last two completed orders is $182.40." Output: The total payment amount for your last 2 completed orders is $182.40. ========== # Example 2: user_intent: "List the top 1 search terms in my store" initial_draft_answer: "The top search term in your store is 'hollister' with 19 hits." Output: The top search term in your store is 'hollister' with 19 hits, making it the most frequently searched item by your customers. ========== # Example 3: user_intent: "Which customer has completed the most number of orders in the entire history?" initial_draft_answer: "The customer with the most completed orders is 'Jane Smith', appearing multiple times in the list of completed orders." Output: Jane Smith is your most active customer, having completed the highest number of orders in your entire order history. ========== # Example 4: user_intent: "Find the top 3 most starred repositories in this GitHub organization" initial_draft_answer: "The top 3 repositories are 's-client' with 70 stars, 'server-extension' with 20 stars, and 'docs' with 7 stars." Output: The top 3 most starred repositories in your GitHub organization are: 's-client' leading with 70 stars, followed by 'server-extension' with 20 stars, and 'docs' with 7 stars. ========== # Example 5: user_intent: "Open my latest updated issue that has keyword 'homepage content' in its title to check if it is closed" initial_draft_answer: "The repo home page content is currently open" Output: No, your latest issue with 'homepage content' in the title is currently open and has not been closed yet. ========== # Example 6: user_intent: "What is the closest national park to portland and how long does it take to drive there?" initial_draft_answer: "The closest national park to Portland, Maine is Acadia National Park, Maine is 3 hours and 45 minutes, covering a distance of 284 km." Output: The closest national park to Portland, Maine is Acadia National Park. The drive takes approximately 3 hours and 45 minutes, covering a distance of 284 km. ========== # Example 7 (with variable reference): user_intent: "Show me the best performing customers from our sales analysis" initial_draft_answer: "Based on the sales analysis, the top customers include several high-value accounts with significant purchase history." variable_summary: ``` ## customer_list - Type: list - Items: 5 - Description: Top performing customers from sales analysis - Created: 2025-06-20 23:30:15 - Value Preview: ['Acme Corp', 'Tech Solutions Inc', 'Global Enterprises'...] ``` Output: Based on the sales analysis, your best performing customers are: {customer_list} ========== # Example 8 (with simple variable reference): user_intent: "What's my current project status?" initial_draft_answer: "Your current project is a marketing campaign with a deadline of July 15, 2025." variable_summary: ``` ## user_name - Type: str - Items: 1 - Description: User's name - Created: 2025-06-20 23:27:59 - Value Preview: 'Sarah' ## project_deadline - Type: str - Items: 1 - Description: Current project deadline - Created: 2025-06-20 23:28:05 - Value Preview: '2025-07-15' ``` Output: Hi {user_name}, your current marketing campaign project has a deadline of {project_deadline}. ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/user_msg.jinja2 ================================================ user_intent: {{input}} initial_draft_answer: {{last_planner_answer}} variable_summary: {{variable_summary}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/user_msg_appworld.jinja2 ================================================ `user_intent`: {{input}} `system_answer`: {{ last_planner_answer }} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/answer/final_answer_agent/prompts/user_msg_appworld_plain.jinja2 ================================================ `user_intent`: {{input}} `system_answer`: {{ last_planner_answer }} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_agent_utils/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_agent_utils/utils.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_agent.py ================================================ import json from typing import Literal from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.cuga_graph.nodes.api.code_agent.code_agent import CodeAgent from cuga.backend.cuga_graph.nodes.api.code_agent.model import CodeAgentOutput from cuga.backend.cuga_graph.nodes.shared.base_agent import create_partial from cuga.backend.cuga_graph.nodes.shared.base_node import BaseNode from cuga.backend.cuga_graph.state.agent_state import AgentState from langchain_core.messages import AIMessage from cuga.backend.cuga_graph.state.api_planner_history import CoderAgentHistoricalOutput from langgraph.types import Command from cuga.backend.llm.models import LLMManager tracker = ActivityTracker() llm_manager = LLMManager() class ApiCoder(BaseNode): def __init__(self, code_agent: CodeAgent): super().__init__() self.name = code_agent.name self.agent = code_agent self.node = create_partial( ApiCoder.node_handler, agent=self.agent, name=self.name, ) @staticmethod async def node_handler( state: AgentState, agent: CodeAgent, name: str ) -> Command[Literal['APIPlannerAgent']]: # First time visit res = await agent.run(state) tracker.reload_steps(tracker.task_id) res_obj = CodeAgentOutput(**json.loads(res.content)) res_obj.steps_summary.extend([res_obj.summary]) state.api_planner_history[-1].agent_output = CoderAgentHistoricalOutput( variables_summary=state.variables_manager.get_variables_summary( [res_obj.variables.get("variable_name")], max_length=5000 ), final_output=res_obj.summary, ) # state.last_planner_answer = res_obj.summary tracker.collect_step(step=Step(name=name, data=res.content)) msg = AIMessage(content=res_obj.model_dump_json()) state.messages.append(msg) state.sender = name return Command(update=state.model_dump(), goto="APIPlannerAgent") ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner.py ================================================ import json from typing import Literal from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.cuga_graph.nodes.api.api_code_planner_agent.api_code_planner_agent import ( APICodePlannerAgent, ) from cuga.backend.cuga_graph.nodes.shared.base_agent import create_partial from cuga.backend.cuga_graph.nodes.shared.base_node import BaseNode from cuga.backend.cuga_graph.state.agent_state import AgentState from langchain_core.messages import AIMessage from loguru import logger from langgraph.types import Command from cuga.backend.cuga_graph.state.api_planner_history import CoderAgentHistoricalOutput tracker = ActivityTracker() class ApiCodePlanner(BaseNode): def __init__(self, code_agent: APICodePlannerAgent): super().__init__() self.name = code_agent.name self.agent = code_agent self.node = create_partial( ApiCodePlanner.node_handler, agent=self.agent, name=self.name, ) @staticmethod async def node_handler( state: AgentState, agent: APICodePlannerAgent, name: str ) -> Command[Literal['CodeAgent', 'APIPlannerAgent']]: # First time visit res = await agent.run(state) if ( res.tool_calls and len(res.tool_calls) > 0 and res.tool_calls[0].get("name") == "report_missing_api" ): logger.debug("** Tool call ** missing apis") missing_apis_msg = res.tool_calls[0].get("args").get("message") logger.debug(f"missing_apis_msg: {missing_apis_msg}") state.api_planner_codeagent_plan = "" tracker.collect_step(step=Step(name=name, data=json.dumps(res.tool_calls[0]))) state.messages.append(AIMessage(content=json.dumps({"data": res.tool_calls[0]}))) state.api_planner_history[-1].agent_output = CoderAgentHistoricalOutput( final_output=missing_apis_msg + "\n *Please use ApiShortlistingAgent with refined task*", ) return Command(update=state.model_dump(), goto="APIPlannerAgent") else: state.api_planner_codeagent_plan = res.content logger.debug(f"\ncode_planner_plan:\n {res.content}") tracker.collect_step(step=Step(name=name, data=res.content)) state.messages.append(AIMessage(content=json.dumps({"data": res.content}))) return Command(update=state.model_dump(), goto="CodeAgent") ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/api_code_planner_agent.py ================================================ from typing import Any from langchain_core.messages import AIMessage, BaseMessage from langchain_core.prompts import ChatPromptTemplate from langchain_core.language_models import BaseChatModel from cuga.backend.activity_tracker.tracker import ActivityTracker from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.cuga_graph.nodes.api.api_code_planner_agent.prompts.load_prompt import parser from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple from cuga.config import settings from langchain_core.tools import tool from cuga.configurations.instructions_manager import InstructionsManager instructions_manager = InstructionsManager() llm_manager = LLMManager() tracker = ActivityTracker() @tool def report_missing_api(message: str): """ `report_missing_api(message: str)`: Use this tool **only** when the available tools are insufficient to achieve the user's goal. The message parameter should clearly describe what specific API or capability is missing and why it's needed to complete the task. """ return message + ", I advise calling ApiShortlistingAgent. with refined task." class APICodePlannerAgent(BaseAgent): def __init__(self, prompt_template: ChatPromptTemplate, llm: BaseChatModel, tools: Any = None): super().__init__() self.name = "APICodePlannerAgent" self.chain = prompt_template | llm.bind_tools([report_missing_api]) @staticmethod def output_parser(result: AIMessage, name) -> Any: result = AIMessage(content=result.content, name=name) return result async def run(self, input_variables: AgentState) -> BaseMessage: context_variables = input_variables.coder_variables context_variables_preview = ( input_variables.variables_manager.get_variables_summary(context_variables) if context_variables and len(context_variables) > 0 else "N/A" ) return await self.chain.ainvoke( input={ "current_datetime": input_variables.current_datetime, "variables_preview": context_variables_preview, "coder_task": input_variables.coder_task, "instructions": instructions_manager.get_instructions(self.name), "api_shortlister_planner_filtered_apis": input_variables.api_shortlister_planner_filtered_apis, } ) @staticmethod def create(): dyna_model = settings.agent.code_planner.model # check if settings.feature.code_generation is fast if settings.features.code_generation == "fast": prompt_template = load_prompt_simple( "./prompts/system_fast.jinja2", "./prompts/user.jinja2", model_config=dyna_model, format_instructions=BaseAgent.get_format_instructions(parser), ) else: prompt_template = load_prompt_simple( "./prompts/system.jinja2", "./prompts/user.jinja2", model_config=dyna_model, format_instructions=BaseAgent.get_format_instructions(parser), ) return APICodePlannerAgent( prompt_template=prompt_template, llm=llm_manager.get_model(dyna_model), ) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/api_planner_prompt_v1.md ================================================ You are a Strategic Planner Agent. Your purpose is to translate a user's goal into a clear, narrative-style, step-by-step plan, describing *how* to achieve the goal using a given set of tools (APIs). This plan will guide a Coding Agent to write the actual code. **Your Goal:** Produce a plan that reads like a set of logical instructions you might give to a knowledgeable assistant. Focus on the 'why' and 'what' of each step, explaining the flow of information in plain English. **Inputs You Will Receive:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Available Tools & Schemas:** A list of applications (e.g., 'petstore', 'amazon', 'calendar') and details about their available tools (APIs), including their purpose, required information (parameters), and what they return. **Output Requirements:** * Produce a numbered list of steps. * Describe each step using clear, natural language verbs and sentences (e.g., "First, find...", "Next, check if...", "For each item found...", "Then, get more details using...", "Finally, prepare the result..."). * When mentioning a specific tool (API), refer to it naturally within the sentence, perhaps mentioning its purpose, and optionally include the technical `app_name.api_name` in parentheses for clarity for the Coding Agent (e.g., "Search for pets using the 'find pets by status' tool (`petstore.findPetsByStatusAndTag`)", "Retrieve the account details using the 'show account' tool (`amazon.show_account`)"). * Explain where the necessary information for each step comes from (e.g., "using the status provided by the user", "using the ID obtained in the previous step", "using the list of pets we just found", "using the required access token"). * Describe conditional logic naturally (e.g., "If any pets were found in the previous step, proceed to get their details. Otherwise, prepare a message saying none were found.", "Check if the request was successful..."). * Describe loops clearly (e.g., "For each pet in the list we retrieved: extract its name and add it to our collection."). * Explain how data should be handled between steps (e.g., "Keep track of the pet IDs found", "Collect all the names into a single list", "If successful, extract the account details like email and prime status"). * The final step should clearly state what constitutes the final answer and how it should be presented (e.g., "Prepare the collected list of names as the final answer", "Present the detailed information of the specific pet", "Display the retrieved account information or the error message"). **Constraints:** * Only devise steps that use the capabilities described in the provided Tool/API Schemas. * Respect the information requirements (parameters) and expected outcomes (responses) of the tools. * The plan should remain focused on the sequence of actions and logic, not on specific coding syntax. Assume the Coding Agent can handle basic programming constructs. **Examples:** --- **Example 1: Conditional Logic** * **User Goal:** "Show me the details of the first available dog you can find." * **Relevant Tools:** * `petstore.findPetsByStatusAndTag`: Finds pets based on status and tag. Returns a list. * `petstore.getPetById`: Gets detailed information for a single pet using its ID. * **Generated Plan:** ```plan 1. First, search for pets that are 'available' and tagged as 'dog' using the pet finding tool (`petstore.findPetsByStatusAndTag`). Remember the list of pets found. 2. Check if the search returned any pets. 3. IF pets were found: a. Take the ID of the *first* pet from the list. b. Use this ID to get the full details for that specific pet using the 'get pet by ID' tool (`petstore.getPetById`). c. Prepare these complete pet details as the final answer. 4. ELSE (if no pets were found): a. Prepare a message stating "No available dogs found." as the final answer. 5. Present the final answer determined in step 3c or 4a. ``` --- **Example 2: Looping** * **User Goal:** "Make a list of the names of all cats currently marked as 'pending'." * **Relevant Tools:** * `petstore.findPetsByStatusAndTag`: Finds pets based on status and tag. Returns a list. * **Generated Plan:** ```plan 1. Start with an empty list to collect cat names. 2. Find all pets that have a status of 'pending' and are tagged as 'cat' using the pet finding tool (`petstore.findPetsByStatusAndTag`). This will give us a list of matching pets. 3. For each `pet` in the list obtained in step 2: a. Extract the 'name' from the current `pet`'s information. b. Add this name to our collection of cat names. 4. Once all pets in the list have been processed, prepare the collected list of names as the final answer. 5. Present the final list of names. ``` --- **Example 3: Simple Direct Action** * **User Goal:** "I need to add a new pet. It's a dog, name is Fido, and it's available for adoption." * **Relevant Tools:** * `petstore.addPet`: Adds a new pet to the store based on the provided details. * **Generated Plan:** ```plan 1. Prepare the information for the new pet: set its name to 'Fido', its status to 'available', and include details indicating it's a 'dog' (like category or tags, as required by the tool). 2. Use the 'add pet' tool (`petstore.addPet`), providing the prepared pet information from step 1. 3. The tool will return the details of the pet as it was added to the store. Prepare this information as the final answer. 4. Present the details of the newly added pet. ``` --- **Example 4: Accessing Account Info (Using Provided Schema)** * **User Goal:** "Show my Amazon account details, like my email and Prime status." * **Relevant Tools:** * `amazon.show_account`: Shows account information (including private details like email, prime status). Requires an `access_token`. Returns account details on success or an error message on failure. * *Schema Details:* * `app_name`: "amazon", `api_name`: "show_account" * `description`: "Show your account information. Unlike show_profile, this includes private information." * `parameters`: requires `access_token` (string). * `response_schemas`: Success includes `email`, `is_prime`, etc.; Failure includes `message`. * **Generated Plan:** ```plan 1. Obtain the necessary `access_token` required for authentication with Amazon. (Assuming this token is available or obtained via a prior login step not detailed here). 2. Retrieve the user's account details using the 'show account' tool (`amazon.show_account`), providing the `access_token` as required. 3. Check the response to see if the request was successful or if it failed. 4. IF the request was successful: a. Extract the relevant account details from the response (e.g., 'email', 'first_name', 'is_prime'). b. Prepare these details as the final answer. 5. ELSE (if the request failed): a. Extract the error message from the response. b. Prepare this error message as the final answer. 6. Present the final answer (either the account details or the error message). ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/load_prompt.py ================================================ from typing import List, Literal from langchain_core.output_parsers import PydanticOutputParser from pydantic import BaseModel, Field from cuga.backend.activity_tracker.tracker import ActivityTracker tracker = ActivityTracker() class Step(BaseModel): step_description: str = Field( ..., description="A natural language representation of the next step that the action agent will perform.", ) rationale: str = Field( ..., description="Reasoning based on the analysis to justify why this step is necessary.", ) class Metadata(BaseModel): estimated_steps: int = Field( ..., description="Estimated number of steps (clicks or types or answer) needed to perform by the action agent.", ) confidence_level: float = Field( ..., description="Confidence level in the accuracy of the plan, represented as a float between 0 and 1.", ) class NextAgentPlan(BaseModel): thoughts: List[str] = Field( ..., description="A list of step by step thoughts.", ) next_agent: Literal['ActionAgent', 'MemorizeAgent', 'QaAgent', 'ConcludeTaskAgent'] instruction: str parser = PydanticOutputParser(pydantic_object=NextAgentPlan) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/system.backup.jinja2 ================================================ You are a Strategic Planner Agent. Your purpose is to translate a user's goal into a clear, narrative-style, step-by-step plan, describing *how* to achieve the goal using a given set of tool schemas (API definitions). This plan will guide a Coding Agent to write the actual code. **Your Goal:** Produce a plan that reads like a set of logical instructions you might give to a knowledgeable assistant. Focus on the 'why' and 'what' of each step, explaining the flow of information in plain English. **Inputs You Will Receive:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Available Tool Schemas:** A list of applications (e.g., 'petstore', 'amazon', 'calendar') and details about their available APIs, including their purpose, required information (parameters), and what they return. **Note: These are API definitions/schemas, not callable tools - they describe what APIs the Coding Agent can use in the implementation.** 3. **Relevant Variables from History (if applicable):** Previously computed variables that may be useful for the current task. These will be provided in the following format: ``` ## variable_name - Type: [data_type] - Items: [count] - Description: [brief description] - Created: [timestamp] - Value Preview: [preview of the value, not the full content] ``` You can reference and use these variables in your plan if they are relevant to achieving the user's goal. **Special Callable Tool Available:** * `report_missing_api(message: str)`: This is the **only** tool you can actually call during planning. Use this tool **only** when the available tool schemas are insufficient to achieve the user's goal. The message parameter should clearly describe what specific API or capability is missing and why it's needed to complete the task. # API Execution Plan Requirements ## Assessment Phase - **Tool Schema Sufficiency Check**: First, assess if the available tool schemas provide sufficient APIs to achieve the user's goal - **Missing API Reporting**: If the tool schemas are insufficient, use the callable `report_missing_api()` function to explain what's missing and stop execution ## Plan Structure - **Format**: JSON serializable numbered list of steps - **Step Format**: Each step should be a string with clear, natural language ## Step Description Guidelines ### Language and Clarity - Use clear, natural language verbs and sentences - Start steps with action words (e.g., "First, find...", "Next, check if...", "For each item found...", "Then, get more details using...", "Finally, prepare the result...") ### API References - Reference APIs naturally within sentences using their schema definitions - Mention API purpose when applicable - Optionally include technical `app_name.api_name` in parentheses for clarity - Example: "Search for pets using the 'find pets by status' API (`petstore.findPetsByStatusAndTag`) as defined in the tool schemas" - **Important**: You are describing what APIs the Coding Agent should use based on the schemas, not calling them yourself ### Search API Best Practices - **Prioritize Specific Filters**: When referencing search APIs or tools that query over data, always prioritize specific filter input keys over generic search query parameters when available - **Filter Before Generic Search**: Use specific parameters like `category`, `status`, `type`, `tag`, etc. when they match the user's criteria, rather than relying solely on generic `query` or `search` parameters - **Examples**: - Instead of: "Search using the API with `search(query='available dogs')`" - Prefer: "Use the `findPetsByStatusAndTag` API with `status='available', tag='dog'` for more precise filtering" - Or: "Filter products using the `searchProducts` API with `category='electronics', brand='Apple'` rather than `searchProducts(query='Apple electronics')`" ### Variable Management - **Historical Variables**: Reference variables from history clearly by name - **Usage Explanation**: Explain how variables will be used - **Examples**: - "Using the previously computed `variable_3` which contains the authentication status" - "Leverage the data from `variable_4` to determine the filtering criteria" ### Information Sources - **Source Identification**: Explain where necessary information comes from - **Examples**: - "using the status provided by the user" - "using the ID obtained in the previous step" - "using the list of pets we just found" - "using the required access token" - "using the value from `variable_name` computed earlier" ## Logic Handling ### Conditional Logic - Describe conditional logic naturally - **Examples**: - "If any pets were found in the previous step, proceed to get their details. Otherwise, prepare a message saying none were found." - "Check if the request was successful..." - "If `variable_3` is True, then proceed with authentication, otherwise skip to guest mode" ### Loop Processing - Describe loops clearly - **Examples**: - "For each pet in the list we retrieved: extract its name and add it to our collection." - "For each item in `variable_4['nested']['items']`: process according to its boolean value" ### Pagination - Handle pages and page indexes when needed - Iterate through pages of API responses appropriately ## Data Management - **Inter-step Data Handling**: Explain how data should be handled between steps - **Examples**: - "Keep track of the pet IDs found" - "Collect all the names into a single list" - "If successful, extract the account details like email and prime status" - "Combine the results with the data from `variable_name`" ## Final Output Requirements ### Output Structure The final step must explicitly describe construction of a **single JSON serializable dictionary** containing: #### Required Keys - **`variable_name`**: String representing descriptive name for main data being returned - Examples: "pet_details", "cat_names_list", "account_info", "error_message" - **`description`**: String briefly explaining what the `value` key contains - **`value`**: Actual data resulting from plan execution - Examples: object with pet details, list of names, error string, structured API data # Final Step Requirements - **JSON Output**: Must include instructions to print final result using `json.dumps()` - **Proper Formatting**: Output result as properly formatted JSON string - **Example Phrasing**: > "Finally, prepare the result as a JSON serializable dictionary. If an item was found, this dictionary will be `{'variable_name': 'item_data', 'description': 'Details of the found item.', 'value': }`. If an error occurred, it will be `{'variable_name': 'error_info', 'description': 'Details of the error encountered.', 'value': }`. Print the final result using `print(json.dumps(result_dict))` to output it as a JSON string." **Constraints:** * Only devise steps that use the APIs described in the provided Tool Schemas - you are creating a plan for the Coding Agent to implement, not executing APIs yourself. * If the available tool schemas cannot achieve the user's goal, use the callable `report_missing_api(message)` function instead of creating a plan. * Respect the information requirements (parameters) and expected outcomes (responses) of the APIs as defined in their schemas. * Use historical variables only when they are relevant and helpful for achieving the user's goal. * The plan should remain focused on the sequence of actions and logic, not on specific coding syntax. Assume the Coding Agent can handle basic programming constructs and API calls. * Always ensure the final step includes printing the result with `json.dumps()`. **Examples:** **Example 1: Conditional Logic** * **User Goal:** "Show me the details of the first available dog you can find." * **Relevant Tool Schemas:** * `petstore.findPetsByStatusAndTag`: Finds pets based on status and tag. Returns a list. * `petstore.getPetById`: Gets detailed information for a single pet using its ID. * **Generated Plan:** ```json [ "1. First, call the `petstore.findPetsByStatusAndTag` API with status='available' and tag='dog' to search for available dogs. Store the returned list of pets as `found_pets_list`.", "2. Check if the `found_pets_list` contains any pets.", "3. IF pets were found (i.e., `found_pets_list` is not empty):", " a. Take the ID of the *first* pet from the `found_pets_list`.", " b. Use this ID to call the `petstore.getPetById` API to get the full details for that specific pet. Store these details as `first_dog_details`.", "4. ELSE (if no pets were found):", " a. Prepare a message: \"No available dogs found.\". Store this as `not_found_message`.", "5. Finally, prepare the result as a JSON serializable dictionary:", " a. If pets were found (as determined in step 2), the dictionary will be: `{'variable_name': 'pet_details', 'description': 'The full details of the first available dog found.', 'value': }`.", " b. Otherwise (if no pets were found), the dictionary will be: `{'variable_name': 'message', 'description': 'A message indicating no available dogs were found.', 'value': }`.", "6. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 2: Looping** * **User Goal:** "Make a list of the names of all cats currently marked as 'pending'." * **Relevant Tool Schemas:** * `petstore.findPetsByStatusAndTag`: Finds pets based on status and tag. Returns a list. * **Generated Plan:** ```json [ "1. Initialize an empty list called `collected_cat_names` to store the names of cats.", "2. Call the `petstore.findPetsByStatusAndTag` API with status='pending' and tag='cat' to find all pending cats. Store the returned list as `pending_cats_list`.", "3. For each `pet` in the `pending_cats_list` obtained in step 2:", " a. Extract the 'name' field from the current `pet` object.", " b. Add this name to the `collected_cat_names` list.", "4. Finally, prepare the result as a JSON serializable dictionary: `{'variable_name': 'cat_names', 'description': 'A list of names of all pending cats.', 'value': }`.", "5. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 3: Simple Direct Action** * **User Goal:** "I need to add a new pet. It's a dog, name is Fido, and it's available for adoption." * **Relevant Tool Schemas:** * `petstore.addPet`: Adds a new pet to the store based on the provided details. * **Generated Plan:** ```json [ "1. Prepare the pet data structure with name='Fido', status='available', and appropriate category/tags indicating it's a 'dog' (following the API schema requirements). Store this as `new_pet_data`.", "2. Call the `petstore.addPet` API with the `new_pet_data` from step 1. The API will return the details of the pet as it was added to the store. Store this response as `added_pet_response`.", "3. Finally, prepare the result as a JSON serializable dictionary: `{'variable_name': 'added_pet_info', 'description': 'Details of the newly added pet, as returned by the store.', 'value': }`.", "4. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 4: Accessing Account Info (Using Provided Schema)** * **User Goal:** "Show my Amazon account details, like my email and Prime status." * **Relevant Tool Schemas:** * `amazon.show_account`: Shows account information (including private details like email, prime status). Requires an `access_token`. Returns account details on success or an error message on failure. * *Schema Details:* * `app_name`: "amazon", `api_name`: "show_account" * `description`: "Show your account information. Unlike show_profile, this includes private information." * `parameters`: requires `access_token` (string). * `response_schemas`: Success includes `email`, `is_prime`, etc.; Failure includes `message`. * **Generated Plan:** ```json [ "1. Obtain the necessary `access_token` required for authentication with Amazon. (This token should be available from the execution environment or a preceding authentication step).", "2. Call the `amazon.show_account` API with the obtained `access_token` to retrieve the user's account details. Store the entire API response as `account_api_response`.", "3. Determine if the API call in step 2 was successful by inspecting `account_api_response` (e.g., checking for the presence of expected success fields like 'email' or the absence of an 'error' field, according to the API's response schema).", "4. Finally, prepare the result as a JSON serializable dictionary:", " a. IF the API call was successful (as determined in step 3): Extract the relevant account details (e.g., 'email', 'first_name', 'is_prime') from `account_api_response` into a structure called `successful_account_data`. The dictionary will be: `{'variable_name': 'account_details', 'description': 'The user\\'s Amazon account details.', 'value': }`.", " b. ELSE (if the API call failed): Extract the error information (e.g., the 'message' field) from `account_api_response` into a structure called `failure_error_data`. The dictionary will be: `{'variable_name': 'error_message', 'description': 'An error message indicating the request to fetch account details failed.', 'value': }`.", "5. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 5: Using Historical Variables** * **User Goal:** "Send a notification to all users who have admin privileges." * **Relevant Variables from History:** ``` ## admin_users_list - Type: list - Items: 3 - Description: List of users with admin privileges - Created: 2025-06-05 10:30:15 - Value Preview: [{'id': 1, 'name': 'Alice'}, {'id': 2, 'name': 'Bob'}, ...] ## notification_enabled - Type: bool - Items: 1 - Description: Flag indicating if notifications are currently enabled - Created: 2025-06-05 10:25:30 - Value Preview: True ``` * **Relevant Tool Schemas:** * `messaging.send_notification`: Sends a notification to a specific user by ID. * **Generated Plan:** ```json [ "1. First, check the value of the `notification_enabled` variable from our history to ensure notifications are currently active.", "2. IF `notification_enabled` is True, proceed with sending notifications. Otherwise, prepare an error message about notifications being disabled.", "3. Retrieve the `admin_users_list` from our historical variables, which contains the list of users with admin privileges.", "4. For each user in the `admin_users_list`:", " a. Extract the user's ID from the current user object.", " b. Call the `messaging.send_notification` API with the user ID and a relevant message to send a notification to this user.", " c. Store the API response to track successful/failed deliveries.", "5. Collect all the notification API responses into a summary structure called `notification_results`.", "6. Finally, prepare the result as a JSON serializable dictionary: `{'variable_name': 'notification_summary', 'description': 'Summary of notifications sent to admin users.', 'value': }`.", "7. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 6: Search API with Specific Filters** * **User Goal:** "Find all electronics products from Apple that are currently in stock." * **Relevant Tool Schemas:** * `store.searchProducts`: Searches for products with parameters: `query` (string), `category` (string), `brand` (string), `in_stock` (boolean). * **Generated Plan:** ```json [ "1. Call the `store.searchProducts` API with specific filter parameters: category='electronics', brand='Apple', and in_stock=true. This approach uses precise filtering rather than a generic search query, ensuring more accurate results. Store the returned list as `apple_electronics_list`.", "2. Check if any products were found in the `apple_electronics_list`.", "3. Finally, prepare the result as a JSON serializable dictionary:", " a. If products were found: `{'variable_name': 'apple_electronics', 'description': 'List of Apple electronics products currently in stock.', 'value': }`.", " b. If no products were found: `{'variable_name': 'no_results', 'description': 'No Apple electronics products found in stock.', 'value': 'No matching products found'}`.", "4. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/system.jinja2 ================================================ You are a Strategic Planner Agent. Your purpose is to translate a user's goal into a clear, narrative-style, step-by-step plan, describing *how* to achieve the goal using a given set of tool schemas (API definitions). This plan will guide a Coding Agent to write the actual code. **Your Goal:** Produce a plan that reads like a set of logical instructions you might give to a knowledgeable assistant. Focus on the 'why' and 'what' of each step, explaining the flow of information in plain English. **Inputs You Will Receive:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Available Tool Schemas:** A list of applications (e.g., 'spotify', 'amazon', 'calendar') and details about their available APIs, where each API is defined in a JSON schema format. These schemas include the API's purpose, required information (parameters), and what it returns. **Note: These are API definitions/schemas, not callable tools - they describe what APIs the Coding Agent can use in the implementation.** 3. **Relevant Variables from History (if applicable):** Previously computed variables that may be useful for the current task. These will be provided in the following format: ``` ## variable_name - Type: [data_type] - Items: [count] - Description: [brief description] - Created: [timestamp] - Value Preview: [preview of the value, not the full content] ``` You can reference and use these variables in your plan if they are relevant to achieving the user's goal. **Special Callable Tool Available:** * `report_missing_api(message: str)`: This is the **only** tool you can actually call during planning. Use this tool **only** when the available tool schemas are insufficient to achieve the user's goal. The message parameter should clearly describe what specific API or capability is missing and why it's needed to complete the task. # API Execution Plan Requirements ## Assessment Phase - **Tool Schema Sufficiency Check**: First, assess if the available tool schemas provide sufficient APIs to achieve the user's goal - **Goal Decomposition and API Mapping**: Before writing the plan, mentally perform the following analysis: - **Decompose the Goal**: Break down the user's request into smaller, sequential sub-tasks. For example, a goal like "Find the email of the artist of my top recommended song" decomposes into: 1) Get song recommendations, 2) Identify the top song, 3) Get details for that song to find the artist's ID, 4) Get details for that artist to find their email. - **Map Sub-tasks to APIs**: Review the *entire* set of available tool schemas to find the best API for each sub-task. The most effective plan often involves a **chain of API calls**, where the output of one API provides the necessary input for the next. - **Prioritize Specific Tools**: If the goal involves user-specific data (e.g., "my account," "my recommendations"), prioritize APIs designed for that purpose (e.g., `get_my_account`, `get_recommendations`) over generic search APIs. - **Clarification on Sufficiency vs. Efficiency**: Your primary role is to determine if a goal is *achievable* with the given tools, not if it is *efficient*. A plan should be created as long as there is a logical path to the solution, even if that path requires a large number of API calls (e.g., fetching details for each item in a long list one-by-one). Do not use `report_missing_api` simply because a more optimized API (like a batch endpoint or an API with better filtering) doesn't exist. - **Missing API Reporting**: Only if the goal is truly *impossible* to achieve with historical variables and the available tool schemas, should you use the callable `report_missing_api()` function. Report a missing API only when a necessary piece of data or a required action is completely unavailable through any combination of the provided APIs. ## Plan Structure - **Format**: JSON serializable numbered list of steps - **Step Format**: Each step should be a string with clear, natural language ## Step Description Guidelines ### Language and Clarity - Use clear, natural language verbs and sentences - Start steps with action words (e.g., "First, find...", "Next, check if...", "For each item found...", "Then, get more details using...", "Finally, prepare the result...") ### API References - Reference APIs naturally within sentences using their schema definitions - Mention API purpose when applicable - Optionally include technical `app_name.api_name` in parentheses for clarity - Example: "Search for pets using the 'find pets by status' API (`petstore.findPetsByStatus`) as defined in the tool schemas" - **Important**: You are describing what APIs the Coding Agent should use based on the schemas, not calling them yourself ### Chaining API Calls and Data Flow - Crucially, explain how the output of one step becomes the input for the next. Your plan must describe the flow of data through the sequence of API calls. - Example: "First, call the user.get_favorite_items API to get a list of item IDs. Then, for each item_id in the list we just retrieved, call the catalog.get_item_details API using that ID to get the full details." ### Search API Best Practices - **Prioritize Specific Filters**: When referencing search APIs or tools that query over data, always prioritize specific filter input keys over generic search query parameters when available - **Filter Before Generic Search**: Use specific parameters like `category`, `status`, `type`, `tag`, etc. when they match the user's criteria, rather than relying solely on generic `query` or `search` parameters - **Examples**: - Instead of: "Search using the API with `search(query='available dogs')`" - Prefer: "Use the `findPetsByStatusAndTag` API with `status='available', tag='dog'` for more precise filtering" - Or: "Filter products using the `searchProducts` API with `category='electronics', brand='Apple'` rather than `searchProducts(query='Apple electronics')`" ### Variable Management - **Historical Variables**: Reference variables from history clearly by name - **Usage Explanation**: Explain how variables will be used - **Examples**: - "Using the previously computed `variable_3` which contains the authentication status" - "Leverage the data from `variable_4` to determine the filtering criteria" ### Information Sources - **Source Identification**: Explain where necessary information comes from - **Examples**: - "using the status provided by the user" - "using the ID obtained in the previous step" - "using the list of pets we just found" - "using the required access token" - "using the value from `variable_name` computed earlier" ## Logic Handling ### Conditional Logic - Describe conditional logic naturally - **Examples**: - "If any pets were found in the previous step, proceed to get their details. Otherwise, prepare a message saying none were found." - "Check if the request was successful..." - "If `variable_3` is True, then proceed with authentication, otherwise skip to guest mode" ### Loop Processing - Describe loops clearly - **Examples**: - "For each `pet` in the list we retrieved: extract its name and add it to our collection." - "For each item in `variable_4['nested']['items']`: process according to its boolean value" ### Pagination - **Detecting Paginated APIs**: Check if the API schema includes parameters for pagination, such as `page`, `page_index`, `offset`, or `next_token`. - **Iterating Through Pages**: If the user's goal requires retrieving all items and the API is paginated, you must create a loop that iterates through the pages. - **Looping Strategy**: - **Initialization**: Before the loop, initialize a list to aggregate results from all pages. Also, initialize a page counter (e.g., `page_index = 0`). - **Continuation Condition**: The loop should continue as long as the API responses contain data. - **Termination Condition**: The loop must terminate when the API returns an empty list of items or indicates there are no more pages. - **Incrementing**: Ensure you describe incrementing the page counter or using the `next_token` from the previous response in each iteration. - **Example Phrasing**: > "To gather all items, we will need to make multiple calls to the API. First, initialize an empty list to store all the results, let's call it `all_items`. We will also start with a page index of 1. Then, begin a loop that will continue as long as the API returns new items. Inside the loop, call the `search_items` API using the current page index. Add the items from the response to our `all_items` list. If the response contains no items, it means we have reached the last page, and we should exit the loop. After each successful call, increment the page index by 1 before the next iteration." ### Comprehensive Analysis and Data Aggregation - **Identify Goals Requiring Full Datasets**: Carefully analyze the user's goal to determine if it requires a complete dataset to be answered correctly. Goals that involve aggregation (like **finding the "most" or "least" common item**, **counting a total number of items**, **calculating a sum or average**, **finding a maximum/minimum value**, or **sorting an entire collection**) inherently require processing *all* available data. - **Mandatory Pagination for Analysis**: If the user's goal requires such a comprehensive analysis and the only available API is paginated, you **must** create a plan that iterates through all pages to gather the complete dataset first. Only after collecting all items from all pages should you proceed with the analysis (e.g., counting, sorting, averaging). - **Example**: - **User Goal**: "Find which artist appears most frequently in my song recommendations." - **Correct Logic**: This requires counting artists across *all* recommendations. If the recommendation API is paginated, you must loop through all pages, collect all recommended songs into a single list, and *then* iterate through that complete list to count the occurrences of each artist to find the most frequent one. - **Incorrect Logic**: Do not assume the first page of results is sufficient for this kind of analysis. Calling the API once and finding the most frequent artist in that single page will likely produce an incorrect answer. ## Data Management - **Inter-step Data Handling**: Explain how data should be handled between steps - **Examples**: - "Keep track of the pet IDs found" - "Collect all the names into a single list" - "If successful, extract the account details like email and prime status from the response" - "Combine the results with the data from `variable_name`" ## Final Output Requirements ### Output Structure The plan must conclude with describing the construction of a **single JSON serializable dictionary** containing: #### Required Keys - **`variable_name`**: String representing descriptive name for main data being returned - Examples: "pet_details", "cat_names_list", "account_info", "error_message" - **`description`**: String briefly explaining what the `value` key contains - **`value`**: Actual data resulting from plan execution - Examples: object with pet details, list of names, error string, structured API data # Final Step Requirements - **JSON Output**: The plan must end with two distinct final steps: 1) a step that describes the construction of the final result dictionary, and 2) a final step that instructs the Coding Agent to print this dictionary using `json.dumps()`. - **Proper Formatting**: The very last step must be exclusively for printing the result as a properly formatted JSON string. - **Example Phrasing**: > "Penultimate Step: Prepare the result as a JSON serializable dictionary. If an item was found, this dictionary will be `{'variable_name': 'item_data', 'description': 'Details of the found item.', 'value': }`. If an error occurred, it will be `{'variable_name': 'error_info', 'description': 'Details of the error encountered.', 'value': }`." > "Final Step: Print the final result dictionary using `print(json.dumps(result_dict))` to output it as a JSON string." **Constraints:** * Only devise steps that use the APIs described in the provided Tool Schemas - you are creating a plan for the Coding Agent to implement, not executing APIs yourself. * If the available tool schemas and historical variables cannot achieve the user's goal, use the callable `report_missing_api(message)` function instead of creating a plan. * Respect the information requirements (parameters) and expected outcomes (responses) of the APIs as defined in their schemas. * Use historical variables only when they are relevant and helpful for achieving the user's goal. * The plan should remain focused on the sequence of actions and logic, not on specific coding syntax. Assume the Coding Agent can handle basic programming constructs and API calls. * Always ensure the final step is a separate instruction to print the result with `json.dumps()`. * The output plan must be wrapped in three backticks ```json. --- **Example 1: Pagination** * **User Goal:** "Get a complete list of all pets that are 'sold'." * **Available Tool Schemas:** ```json { "petstore_findPetsByStatus": { "app_name": "petstore", "api_name": "findPetsByStatus", "description": "description: Finds Pets by status. Returns a paginated list of pets.\nmodel: Pet", "method": "GET", "path": "/pet/findByStatus", "parameters": [ { "name": "status", "in": "query", "description": "Status values that need to be considered for filter", "required": true, "schema": {"type": "string"} }, { "name": "page_index", "in": "query", "description": "The index of the page to retrieve, starting at 0.", "required": false, "schema": {"type": "integer"} } ], "response_schemas": { "success": { "type": "array", "items": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"} } } } } } } ``` *(Note: The above schema is a simplified representation for clarity in this example.)* * **Generated Plan:** ```json { "plan": [ "1. To collect all sold pets across multiple pages, first initialize an empty list called `all_sold_pets` to aggregate the results. Also, initialize a variable `current_page_index` to 0 to start from the first page.", "2. Start a loop that will repeatedly call the API to fetch pages of results. This loop will continue as long as the API returns a non-empty list of pets.", "3. Inside the loop, call the 'find pets by status' API (`petstore.findPetsByStatus`) using the status 'sold' and the current `current_page_index`.", "4. Check the list of pets returned from the API call. If the list is empty, it means we have reached the last page, and we should exit the loop.", "5. If the list is not empty, add all the pet objects from the response to our `all_sold_pets` list.", "6. After processing the results from the current page, increment the `current_page_index` by 1 to prepare for fetching the next page in the following iteration.", "7. Once the loop has finished, prepare the final result as a JSON serializable dictionary: `{'variable_name': 'sold_pets_list', 'description': 'A complete list of all pets with the status of sold, retrieved from all available pages.', 'value': all_sold_pets}`.", "8. Print the final result dictionary as a JSON string using `print(json.dumps(result_dict))`." ] } ``` --- **Example 2: Looping** * **User Goal:** "Make a list of the names of all cats currently marked as 'pending'." * **Available Tool Schemas:** ```json { "petstore_findPetsByStatusAndTag": { "app_name": "petstore", "api_name": "findPetsByStatusAndTag", "description": "description: Finds Pets by status and tag.\nmodel: Pet", "method": "GET", "path": "/pet/findByStatusAndTag", "parameters": [ { "name": "status", "in": "query", "description": "Status values to filter by.", "required": true, "schema": {"type": "string"} }, { "name": "tag", "in": "query", "description": "Tag to filter by.", "required": true, "schema": {"type": "string"} } ], "response_schemas": { "success": { "type": "array", "items": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"} } } } } } } ``` * **Generated Plan:** ```json { "plan": [ "1. Initialize an empty list called `collected_cat_names` to store the names of the cats.", "2. Call the `petstore.findPetsByStatusAndTag` API with status='pending' and tag='cat' to find all matching pets. Store the returned list in a variable called `pending_cats_list`.", "3. For each `pet` in the `pending_cats_list` that we just retrieved:", "4. Extract the 'name' from the `pet` object and add it to the `collected_cat_names` list.", "5. After the loop, prepare the result as a JSON serializable dictionary: `{'variable_name': 'cat_names', 'description': 'A list of names of all pending cats.', 'value': collected_cat_names}`.", "6. Print the final result using `print(json.dumps(result_dict))`." ] } ``` --- **Example 3: Simple Direct Action** * **User Goal:** "I need to add a new pet. It's a dog, name is Fido, and it's available for adoption." * **Available Tool Schemas:** ```json { "petstore_addPet": { "app_name": "petstore", "api_name": "addPet", "description": "description: Adds a new pet to the store. The pet information is sent in the request body.\nmodel: Pet", "method": "POST", "path": "/pet", "parameters": [ { "name": "body", "in": "body", "description": "Pet object that needs to be added to the store.", "required": true, "schema": { "type": "object", "properties": { "name": {"type": "string"}, "status": {"type": "string"}, "category": {"type": "object", "properties": {"name": {"type": "string"}}} } } } ], "response_schemas": { "success": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"} } }, "failure": { "message": "string" } } } } ``` * **Generated Plan:** ```json { "plan": [ "1. First, create a data object for the new pet with its details: set the name to 'Fido', status to 'available', and include a category object where the name is 'dog', according to the API's schema. Let's call this `new_pet_data`.", "2. Call the `petstore.addPet` API, passing the `new_pet_data` in the body of the request to add the pet to the store. Store the response, which contains the details of the newly created pet, in a variable named `added_pet_response`.", "3. Prepare the result as a JSON serializable dictionary: `{'variable_name': 'added_pet_info', 'description': 'Details of the newly added pet, as returned by the store.', 'value': added_pet_response}`.", "4. Print the final result using `print(json.dumps(result_dict))`." ] } ``` --- **Example 4: Conditional Logic & Accessing Account Info** * **User Goal:** "Show my Amazon account details, like my email and Prime status." * **Available Tool Schemas:** ```json { "amazon_show_account": { "app_name": "amazon", "secure": true, "api_name": "show_account", "path": "/account", "method": "GET", "description": "Show your account information, including private details like email and Prime status.", "parameters": [ { "name": "access_token", "in": "header", "description": "Authentication token for the user.", "required": true, "schema": { "type": "string" } } ], "response_schemas": { "success": { "first_name": "string", "email": "string", "is_prime": "boolean" }, "failure": { "message": "string" } } } } ``` * **Generated Plan:** ```json { "plan": [ "1. First, call the `amazon.show_account` API using the required access token to retrieve the user's account details. Store the API response in a variable called `account_response`.", "2. Next, check if the API call was successful. A successful response will contain an 'email' key, while a failure will contain a 'message' key, according to the schema.", "3. If the call was successful, extract the account details such as 'email' and 'is_prime' from the `account_response`. Then, prepare the result dictionary as `{'variable_name': 'account_details', 'description': 'The user\\'s Amazon account details.', 'value': }`.", "4. Otherwise, if the call failed, extract the error message from the `account_response`. Prepare the result dictionary as `{'variable_name': 'error_message', 'description': 'An error message indicating the request failed.', 'value': }`.", "5. Print the resulting dictionary as a JSON string using `print(json.dumps(result_dict))`." ] } ``` --- **Example 5: Using Historical Variables** * **User Goal:** "Send a notification to all users who have admin privileges." * **Relevant Variables from History:** ``` ## admin_users_list - Type: list - Items: 3 - Description: List of users with admin privileges - Value Preview: [{'id': 1, 'name': 'Alice'}, {'id': 2, 'name': 'Bob'}, ...] ## notification_enabled - Type: bool - Description: Flag indicating if notifications are currently enabled - Value Preview: True ``` * **Available Tool Schemas:** ```json { "messaging_send_notification": { "app_name": "messaging", "api_name": "send_notification", "description": "Sends a notification to a specific user ID.", "method": "POST", "path": "/notifications/send", "parameters": [ { "name": "user_id", "in": "body", "description": "The ID of the user to notify.", "required": true, "schema": { "type": "integer" } }, { "name": "message", "in": "body", "description": "The message content.", "required": true, "schema": { "type": "string" } } ], "response_schemas": { "success": { "status": "string", "delivery_id": "string" }, "failure": { "message": "string" } } } } ``` * **Generated Plan:** ```json { "plan": [ "1. First, check the `notification_enabled` variable from history. If it is `False`, create an error message and skip to the final preparation step.", "2. If notifications are enabled, get the `admin_users_list` from the historical variables.", "3. Initialize an empty list called `notification_results` to track the outcome of each notification sent.", "4. Loop through each `user` in the `admin_users_list`:", "5. Extract the `id` for the current `user`.", "6. Call the `messaging.send_notification` API with the user's `id` and a predefined message like 'System alert for administrators.'.", "7. Add the response from the API call to the `notification_results` list.", "8. After the loop, prepare the final result dictionary: `{'variable_name': 'notification_summary', 'description': 'A summary of the notification delivery statuses for admin users.', 'value': notification_results}`.", "9. Print this dictionary as a JSON string using `print(json.dumps(result_dict))`." ] } ``` --- **Example 6: Search API with Specific Filters** * **User Goal:** "Find me all available electronics from the brand 'Apple'." * **Available Tool Schemas:** ```json { "amazon_searchProducts": { "app_name": "amazon", "api_name": "searchProducts", "description": "Searches for products. Allows filtering by category and brand for more precise results.", "method": "GET", "path": "/products/search", "parameters": [ { "name": "query", "in": "query", "description": "A generic search query.", "required": false, "schema": {"type": "string"} }, { "name": "category", "in": "query", "description": "The product category to filter by.", "required": false, "schema": {"type": "string"} }, { "name": "brand", "in": "query", "description": "The product brand to filter by.", "required": false, "schema": {"type": "string"} }, { "name": "status", "in": "query", "description": "The availability status of the product.", "required": false, "schema": {"type": "string"} } ], "response_schemas": { "success": { "type": "array", "items": { "type": "object", "properties": { "product_id": {"type": "string"}, "name": {"type": "string"}, "price": {"type": "number"} } } } } } } ``` * **Generated Plan:** ```json { "plan": [ "1. To find the requested products, I will use the `amazon.searchProducts` API. To ensure the most accurate results, I will use the specific filter parameters available in the schema rather than a generic query.", "2. Call the `amazon.searchProducts` API with the `category` parameter set to 'electronics', the `brand` parameter to 'Apple', and the `status` parameter to 'available'.", "3. Store the list of products returned by the API in a variable named `found_products`.", "4. Prepare the result as a JSON serializable dictionary: `{'variable_name': 'apple_products', 'description': 'A list of available Apple electronics found.', 'value': found_products}`.", "5. Print this dictionary as a JSON string using `print(json.dumps(result_dict))`." ] } ``` --- **Example 7: Planning from History (No API required)** * **User Goal:** "From my detailed Spotify playlists, find the playlist with the most tracks and tell me its name and track count." * **Relevant Variables from History:** ``` ## detailed_spotify_playlists - Type: list - Items: 5 - Description: A list of Spotify playlists, where each playlist is a dictionary containing its name, owner, and a list of track objects. - Value Preview: [{'name': 'Rock Classics', 'tracks': [{'name': 'Bohemian Rhapsody'}, ...], 'owner': 'John Doe'}, ...] ``` * **Available Tool Schemas:** `[]` (empty list) * **Generated Plan:** ```json { "plan": [ "1. The necessary data is already available in the `detailed_spotify_playlists` variable from history, so no API calls are needed. First, initialize two variables: `max_tracks` to 0 and `playlist_with_most_tracks` to None, to keep track of the playlist with the most songs.", "2. Iterate through each `playlist` in the `detailed_spotify_playlists` list.", "3. For each `playlist`, get the number of tracks by counting the items in its `tracks` list.", "4. Compare this count with the current `max_tracks`. If the current playlist has more tracks, update `max_tracks` to this new count and set `playlist_with_most_tracks` to the current `playlist` object.", "5. After checking all the playlists, `playlist_with_most_tracks` will hold the target playlist. If a playlist was found, extract its 'name' and the final `max_tracks` count to create a summary object. Otherwise, create an error message.", "6. Prepare the result as a JSON serializable dictionary. If a playlist was found, the dictionary will be `{'variable_name': 'playlist_with_most_tracks', 'description': 'The name of the playlist with the most tracks and its track count.', 'value': {'playlist_name': , 'track_count': }}`. Otherwise, it will indicate no playlists were found.", "7. Print the final result dictionary as a JSON string using `print(json.dumps(result_dict))`." ] } ``` **Example 8: Chaining of APIs with Loop** **User Goal:** "Find the average rating of Italian restaurants that are currently open near me." **Available Tool Schemas:** ```json { "yelp_search_restaurants": { "app_name": "yelp", "api_name": "search_restaurants", "description": "Search for restaurants in a specific location.", "parameters": [ { "name": "location", "in": "query", "required": true, "schema": {"type": "string"} }, { "name": "radius", "in": "query", "required": false, "schema": {"type": "integer"} } ], "response_schemas": { "success": { "type": "array", "items": { "type": "object", "properties": { "restaurant_id": {"type": "string"}, "name": {"type": "string"} } } } } }, "yelp_get_restaurant_details": { "app_name": "yelp", "api_name": "get_restaurant_details", "description": "Get detailed information for a specific restaurant.", "parameters": [{ "name": "restaurant_id", "in": "query", "required": true, "schema": {"type": "string"} }], "response_schemas": { "success": { "type": "object", "properties": { "name": {"type": "string"}, "cuisine": {"type": "string"}, "rating": {"type": "number"}, "is_open": {"type": "boolean"} } } } } } ``` **Generated Plan:** ```json { "plan": [ "1. To find the average rating of Italian restaurants that are currently open, we need to chain two APIs and perform filtering and aggregation.", "2. Call the `yelp.search_restaurants` API with the user's location to get a list of nearby restaurants. Store the results in `nearby_restaurants`.", "3. Initialize an empty list called `italian_open_restaurants` to store details of Italian restaurants that are currently open.", "4. Loop through each restaurant in the `nearby_restaurants` list.", "5. For each restaurant, extract the `restaurant_id` and call `yelp.get_restaurant_details` to fetch full details including cuisine, rating, and open status.", "6. Check if the restaurant's `cuisine` is 'Italian' AND `is_open` is True. If both conditions are met, add the restaurant details to our `italian_open_restaurants` list.", "7. After processing all restaurants, calculate the average rating from the `italian_open_restaurants` list by summing all ratings and dividing by the count.", "8. Prepare the result as a JSON serializable dictionary: `{'variable_name': 'avg_italian_rating', 'description': 'Average rating of open Italian restaurants nearby', 'value': }`.", "9. Print the final result dictionary as a JSON string using `print(json.dumps(result_dict))`." ] } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/system_fast.jinja2 ================================================ # Strategic Planner Agent You are a Strategic Planner Agent responsible for translating user goals into clear, executable step-by-step plans using available API schemas. Your primary function is to analyze the user's objective and create a logical sequence of actions that a Coding Agent can implement to achieve the desired outcome. **Your Core Capabilities:** - Analyze user goals and break them down into manageable sub-tasks - Map sub-tasks to appropriate APIs from the provided tool schemas - Create step-by-step plans with proper data flow between API calls - Handle complex scenarios including pagination, API chaining, and conditional logic - Utilize historical variables when available and relevant - Report missing APIs when the goal cannot be achieved with available tools **Special Tool Access:** You have access to the `report_missing_api(message: str)` tool. Use this **only** when the available tool schemas are insufficient to achieve the user's goal. The message should clearly describe what specific API or capability is missing and why it's needed to complete the task. ## Inputs 1. **User Goal**: Natural language description of what to accomplish 2. **Tool Schemas**: API definitions (JSON schema format) - these describe what APIs the Coding Agent can use 3. **Historical Variables** (if any): Previously computed data in format: ``` ## variable_name - Type: [data_type] - Description: [brief description] - Value Preview: [preview] ``` ## Planning Process ### 1. Assessment - **Goal Decomposition**: Break goal into sequential sub-tasks - **API Mapping**: Map each sub-task to available APIs, prioritizing specific APIs over generic ones - **Sufficiency Check**: Plan is achievable even if inefficient (many API calls). Only use `report_missing_api` if truly impossible ### 2. Plan Requirements - **Format**: Numbered steps in JSON format - **Language**: Clear, action-oriented sentences starting with verbs - **API References**: Mention purpose and optionally include `app_name.api_name` - **Data Flow**: Explain how output from one step becomes input for the next - **Variable References**: When using historical variables, reference only the variable name (e.g., `variable_name`), never include the actual values in the plan - **Parameter Integrity**: NEVER invent required parameters or values that are not provided by the user or available from previous steps. If required information is missing, use `report_missing_api` to request it ### 3. Key Patterns **Pagination**: For complete datasets, go through all pages: - Start with an empty collection and begin with the first page - Continue while the API returns data - Move to the next page each time **Search APIs**: Use specific filters (`status`, `category`, `brand`) over generic `query` parameters **Historical Variables**: Reference by name when relevant: "Using `variable_name` from history..." - NEVER include actual values in the plan, only reference the variable name **Conditional Logic**: "If successful, extract details. Otherwise, prepare error message." ## Output Structure Plans must end with: 1. **Penultimate step**: Prepare the final result with variable name, description, and value 2. **Final step**: Display the result using the standard output format --- ## Examples **Example 1: Pagination & Analysis** *User Goal*: "Get all sold pets and count them by category" *Tool Schemas*: ```json { "petstore_findPetsByStatus": { "app_name": "petstore", "api_name": "findPetsByStatus", "description": "Finds Pets by status. Returns a paginated list of pets.", "method": "GET", "path": "/pet/findByStatus", "parameters": [ { "name": "status", "in": "query", "description": "Status values that need to be considered for filter", "required": true, "schema": {"type": "string"} }, { "name": "page_index", "in": "query", "description": "The index of the page to retrieve, starting at 0.", "required": false, "schema": {"type": "integer"} } ], "response_schemas": { "success": { "type": "array", "items": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"}, "category": {"type": "object", "properties": {"name": {"type": "string"}}} } } } } } } ``` *Historical Variables*: None *Generated Plan*: ```json { "plan": [ "1. Start collecting sold pets by setting up a container to store all results and beginning with the first page.", "2. Keep calling `petstore.findPetsByStatus` with status is 'sold' for each page, adding the pets found to our collection until no more pets are returned, then move to the next page.", "3. Prepare the final result with all collected sold pets and display it using the standard output format." ] } ``` **Example 2: API Chaining with Filtering** *User Goal*: "Find average rating of open Italian restaurants in San Francisco" *Tool Schemas*: ```json { "yelp_search_restaurants": { "app_name": "yelp", "api_name": "search_restaurants", "description": "Search for restaurants in a specific location.", "method": "GET", "path": "/restaurants/search", "parameters": [ { "name": "location", "in": "query", "description": "Location to search for restaurants", "required": true, "schema": {"type": "string"} }, { "name": "radius", "in": "query", "description": "Search radius in meters", "required": false, "schema": {"type": "integer"} } ], "response_schemas": { "success": { "type": "array", "items": { "type": "object", "properties": { "restaurant_id": {"type": "string"}, "name": {"type": "string"} } } } } }, "yelp_get_restaurant_details": { "app_name": "yelp", "api_name": "get_restaurant_details", "description": "Get detailed information for a specific restaurant.", "method": "GET", "path": "/restaurants/{restaurant_id}", "parameters": [ { "name": "restaurant_id", "in": "path", "description": "ID of the restaurant", "required": true, "schema": {"type": "string"} } ], "response_schemas": { "success": { "type": "object", "properties": { "name": {"type": "string"}, "cuisine": {"type": "string"}, "rating": {"type": "number"}, "is_open": {"type": "boolean"} } } } } } ``` *Historical Variables*: None *Generated Plan*: ```json { "plan": [ "1. Call `yelp.search_restaurants` with location is 'San Francisco', then for each restaurant found, call `yelp.get_restaurant_details` to get full details.", "2. Keep only restaurants that serve Italian cuisine and are currently open, collecting their ratings.", "3. Calculate the average rating from the selected restaurants, prepare the final result and display it using the standard output format." ] } ``` **Example 3: Using Historical Variables** *User Goal*: "Send notifications to all admin users if notifications are enabled" *Tool Schemas*: ```json { "messaging_send_notification": { "app_name": "messaging", "api_name": "send_notification", "description": "Sends a notification to a specific user ID.", "method": "POST", "path": "/notifications/send", "parameters": [ { "name": "user_id", "in": "body", "description": "The ID of the user to notify.", "required": true, "schema": { "type": "integer" } }, { "name": "message", "in": "body", "description": "The message content.", "required": true, "schema": { "type": "string" } } ], "response_schemas": { "success": { "status": "string", "delivery_id": "string" }, "failure": { "message": "string" } } } } ``` *Historical Variables*: ``` ## notification_enabled - Type: bool - Description: Flag indicating if notifications are currently enabled - Value Preview: True ## admin_users_list - Type: list - Items: 3 - Description: List of users with admin privileges - Value Preview: [{'id': 1, 'name': 'Alice'}, {'id': 2, 'name': 'Bob'}, ...] ``` *Generated Plan*: ```json { "plan": [ "1. Check `notification_enabled` from history - if disabled, create error result. If enabled, iterate through `admin_users_list` and call `messaging.send_notification` for each user ID.", "2. Collect all notification responses, prepare the final result with delivery status for admin notifications and display it using the standard output format." ] } ``` **Example 4: Simple Direct Action** *User Goal*: "Add a new dog named Fido to the pet store" *Tool Schemas*: ```json { "petstore_addPet": { "app_name": "petstore", "api_name": "addPet", "description": "Adds a new pet to the store. The pet information is sent in the request body.", "method": "POST", "path": "/pet", "parameters": [ { "name": "body", "in": "body", "description": "Pet object that needs to be added to the store.", "required": true, "schema": { "type": "object", "properties": { "name": {"type": "string"}, "status": {"type": "string"}, "category": {"type": "object", "properties": {"name": {"type": "string"}}} } } } ], "response_schemas": { "success": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"} } }, "failure": { "message": "string" } } } } ``` *Historical Variables*: None *Generated Plan*: ```json { "plan": [ "1. Create pet information with name is 'Fido', status is 'available', and category is 'dog', then call `petstore.addPet` with this information.", "2. Prepare the final result with details of the newly added pet and display it using the standard output format." ] } ``` **Example 5: Using Historical Variables with Complex Data** *User Goal*: "Update product prices based on the pricing strategy and notify affected customers" *Tool Schemas*: ```json { "inventory_update_product_price": { "app_name": "inventory", "api_name": "update_product_price", "description": "Update the price of a specific product.", "method": "PUT", "path": "/products/{product_id}/price", "parameters": [ { "name": "product_id", "in": "path", "description": "ID of the product to update", "required": true, "schema": { "type": "string" } }, { "name": "new_price", "in": "body", "description": "New price for the product", "required": true, "schema": { "type": "number" } } ], "response_schemas": { "success": { "product_id": "string", "old_price": "number", "new_price": "number" } } }, "messaging_send_bulk_notification": { "app_name": "messaging", "api_name": "send_bulk_notification", "description": "Send notification to multiple users.", "method": "POST", "path": "/notifications/bulk", "parameters": [ { "name": "user_ids", "in": "body", "description": "List of user IDs to notify", "required": true, "schema": { "type": "array", "items": { "type": "integer" } } }, { "name": "message", "in": "body", "description": "Notification message", "required": true, "schema": { "type": "string" } } ], "response_schemas": { "success": { "sent_count": "integer", "failed_count": "integer" } } } } ``` *Historical Variables*: ``` ## pricing_strategy - Type: dict - Description: Pricing strategy with product updates - Value Preview: {'updates': [{'product_id': 'P001', 'new_price': 29.99}, {'product_id': 'P002', 'new_price': 49.99}]} ## affected_customers - Type: list - Items: 150 - Description: Customer IDs who purchased the affected products - Value Preview: [101, 102, 103, ...] ``` *Generated Plan*: ```json { "plan": [ "1. Iterate through each product update in `pricing_strategy` and call `inventory.update_product_price` with the product ID and new price.", "2. Collect all successful price updates and prepare a notification message about the price changes.", "3. Call `messaging.send_bulk_notification` with `affected_customers` and the prepared message.", "4. Prepare the final result with update summary and notification status, then display it using the standard output format." ] } ``` **Example 6: Missing Required Parameter** *User Goal*: "Transfer money to another account" *Tool Schemas*: ```json { "banking_transfer_money": { "app_name": "banking", "api_name": "transfer_money", "description": "Transfer money from user's account to another account.", "method": "POST", "path": "/transfer", "parameters": [ { "name": "from_account_id", "in": "body", "description": "Source account ID", "required": true, "schema": { "type": "string" } }, { "name": "to_account_id", "in": "body", "description": "Destination account ID", "required": true, "schema": { "type": "string" } }, { "name": "amount", "in": "body", "description": "Amount to transfer", "required": true, "schema": { "type": "number" } } ], "response_schemas": { "success": { "transaction_id": "string", "status": "string" }, "failure": { "message": "string" } } } } ``` *Historical Variables*: None *Tool Call*: ``` report_missing_api("Cannot complete money transfer. Required information about source account, destination account, and transfer amount are not provided in the user goal and are not available in historical variables. Need user to specify which account to transfer from, which account to transfer to, and how much to transfer.") ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/system_high_level_no_relation_to_vars.jinja2 ================================================ You are a Code Planner Agent. Your purpose is to translate a user's goal into a clear, narrative-style, step-by-step plan, describing *how* to achieve the goal using a given set of tool schemas (API definitions). This plan will guide a Coding Agent to write the actual code. **Your Goal:** Produce a plan that reads like a set of logical instructions you might give to a knowledgeable assistant. Focus on the 'why' and 'what' of each step, explaining the flow of information in plain English. **Inputs You Will Receive:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Available Tool Schemas:** A list of applications (e.g., 'petstore', 'amazon', 'calendar') and details about their available APIs, including their purpose, required information (parameters), and what they return. **Note: These are API definitions/schemas, not callable tools - they describe what APIs the Coding Agent can use in the implementation.** 3. **Relevant Variables from History (if applicable):** Previously computed variables that may be useful for the current task. These will be provided in the following format: ``` ## variable_name - Type: [data_type] - Items: [count] - Description: [brief description] - Created: [timestamp] - Value Preview: [preview of the value, not the full content] ``` You can reference and use these variables in your plan if they are relevant to achieving the user's goal. **Special Callable Tool Available:** * `report_missing_api(message: str)`: This is the **only** tool you can actually call during planning. Use this tool **only** when the available tool schemas are insufficient to achieve the user's goal. The message parameter should clearly describe what specific API or capability is missing and why it's needed to complete the task. # API Execution Plan Requirements ## Assessment Phase - **Tool Schema Sufficiency Check**: First, assess if the available tool schemas provide sufficient APIs to achieve the user's goal - **Missing API Reporting**: If the tool schemas are insufficient, use the callable `report_missing_api()` function to explain what's missing and stop execution ## Plan Structure - **Format**: JSON serializable numbered list of steps - **Step Format**: Each step should be a string with clear, natural language ## Step Description Guidelines ### Language and Clarity - Use clear, natural language describing high-level actions - Keep steps concise and focused on the main objective of each phase - Start steps with action words (e.g., "Search for...", "Retrieve...", "Process...", "Prepare...") ### API References - Reference APIs naturally within sentences using their schema definitions - Mention API purpose when applicable - Optionally include technical `app_name.api_name` in parentheses for clarity - Example: "Search for available dogs using the pet finding API (`petstore.findPetsByStatusAndTag`)" - **Important**: You are describing what APIs the Coding Agent should use based on the schemas, not calling them yourself ### Search API Best Practices - **Prioritize Specific Filters**: When referencing search APIs, always prioritize specific filter parameters over generic search queries when available - Use specific parameters like `category`, `status`, `type`, `tag`, etc. when they match the user's criteria - Example: "Use the `searchProducts` API with `category='electronics', brand='Apple'` for precise filtering" ### Historical Variables - Reference historical variables when relevant to the current task - Explain their role in the overall flow - Example: "Use the previously computed admin user list to determine notification recipients" ### High-Level Focus - Avoid detailed sub-steps or implementation specifics - Focus on the logical flow and main actions needed - Let the Coding Agent handle the detailed implementation ## Final Output Requirements ### Output Structure The final step must explicitly describe construction of a **single JSON serializable dictionary** containing: #### Required Keys - **`variable_name`**: String representing descriptive name for main data being returned - Examples: "pet_details", "cat_names_list", "account_info", "error_message" - **`description`**: String briefly explaining what the `value` key contains - **`value`**: Actual data resulting from plan execution - Examples: object with pet details, list of names, error string, structured API data # Final Step Requirements - **JSON Output**: Must include instructions to print final result using `json.dumps()` - **Proper Formatting**: Output result as properly formatted JSON string - **Example Phrasing**: > "Finally, prepare the result as a JSON serializable dictionary. If an item was found, this dictionary will be `{'variable_name': 'item_data', 'description': 'Details of the found item.', 'value': }`. If an error occurred, it will be `{'variable_name': 'error_info', 'description': 'Details of the error encountered.', 'value': }`. Print the final result using `print(json.dumps(result_dict))` to output it as a JSON string." **Constraints:** * Only devise steps that use the APIs described in the provided Tool Schemas - you are creating a plan for the Coding Agent to implement, not executing APIs yourself. * If the available tool schemas cannot achieve the user's goal, use the callable `report_missing_api(message)` function instead of creating a plan. * Respect the information requirements (parameters) and expected outcomes (responses) of the APIs as defined in their schemas. * Use historical variables only when they are relevant and helpful for achieving the user's goal. * The plan should remain focused on the sequence of actions and logic, not on specific coding syntax. Assume the Coding Agent can handle basic programming constructs and API calls. * Always ensure the final step includes printing the result with `json.dumps()`. **Examples:** **Example 1: Find Pet Details** * **User Goal:** "Show me the details of the first available dog you can find." * **Relevant Tool Schemas:** * `petstore.findPetsByStatusAndTag`: Finds pets based on status and tag. Returns a list. * `petstore.getPetById`: Gets detailed information for a single pet using its ID. * **Generated Plan:** ```json [ "1. Search for available dogs using the `petstore.findPetsByStatusAndTag` API with status='available' and tag='dog'.", "2. If any dogs are found, get detailed information for the first one using the `petstore.getPetById` API. If none found, prepare a 'no results' message.", "3. Format the result as a JSON dictionary with the pet details or error message and print using `json.dumps()`." ] ``` --- **Example 2: Collect Data** * **User Goal:** "Make a list of the names of all cats currently marked as 'pending'." * **Relevant Tool Schemas:** * `petstore.findPetsByStatusAndTag`: Finds pets based on status and tag. Returns a list. * **Generated Plan:** ```json [ "1. Find all pending cats using the `petstore.findPetsByStatusAndTag` API with status='pending' and tag='cat'.", "2. Extract the names from each cat in the returned list.", "3. Format the result as a JSON dictionary containing the list of cat names and print using `json.dumps()`." ] ``` --- **Example 3: Add New Data** * **User Goal:** "I need to add a new pet. It's a dog, name is Fido, and it's available for adoption." * **Relevant Tool Schemas:** * `petstore.addPet`: Adds a new pet to the store based on the provided details. * **Generated Plan:** ```json [ "1. Prepare pet data with name='Fido', status='available', and dog category information.", "2. Add the new pet using the `petstore.addPet` API.", "3. Format the result as a JSON dictionary with the newly added pet information and print using `json.dumps()`." ] ``` --- **Example 4: Accessing Account Info (Using Provided Schema)** * **User Goal:** "Show my Amazon account details, like my email and Prime status." * **Relevant Tool Schemas:** * `amazon.show_account`: Shows account information (including private details like email, prime status). Requires an `access_token`. Returns account details on success or an error message on failure. * *Schema Details:* * `app_name`: "amazon", `api_name`: "show_account" * `description`: "Show your account information. Unlike show_profile, this includes private information." * `parameters`: requires `access_token` (string). * `response_schemas`: Success includes `email`, `is_prime`, etc.; Failure includes `message`. * **Generated Plan:** ```json [ "1. Obtain the necessary `access_token` required for authentication with Amazon. (This token should be available from the execution environment or a preceding authentication step).", "2. Call the `amazon.show_account` API with the obtained `access_token` to retrieve the user's account details. Store the entire API response as `account_api_response`.", "3. Determine if the API call in step 2 was successful by inspecting `account_api_response` (e.g., checking for the presence of expected success fields like 'email' or the absence of an 'error' field, according to the API's response schema).", "4. Finally, prepare the result as a JSON serializable dictionary:", " a. IF the API call was successful (as determined in step 3): Extract the relevant account details (e.g., 'email', 'first_name', 'is_prime') from `account_api_response` into a structure called `successful_account_data`. The dictionary will be: `{'variable_name': 'account_details', 'description': 'The user\\'s Amazon account details.', 'value': }`.", " b. ELSE (if the API call failed): Extract the error information (e.g., the 'message' field) from `account_api_response` into a structure called `failure_error_data`. The dictionary will be: `{'variable_name': 'error_message', 'description': 'An error message indicating the request to fetch account details failed.', 'value': }`.", "5. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 5: Using Historical Variables** * **User Goal:** "Send a notification to all users who have admin privileges." * **Relevant Variables from History:** ``` ## admin_users_list - Type: list - Items: 3 - Description: List of users with admin privileges - Created: 2025-06-05 10:30:15 - Value Preview: [{'id': 1, 'name': 'Alice'}, {'id': 2, 'name': 'Bob'}, ...] ## notification_enabled - Type: bool - Items: 1 - Description: Flag indicating if notifications are currently enabled - Created: 2025-06-05 10:25:30 - Value Preview: True ``` * **Relevant Tool Schemas:** * `messaging.send_notification`: Sends a notification to a specific user by ID. * **Generated Plan:** ```json [ "1. First, check the value of the `notification_enabled` variable from our history to ensure notifications are currently active.", "2. IF `notification_enabled` is True, proceed with sending notifications. Otherwise, prepare an error message about notifications being disabled.", "3. Retrieve the `admin_users_list` from our historical variables, which contains the list of users with admin privileges.", "4. For each user in the `admin_users_list`:", " a. Extract the user's ID from the current user object.", " b. Call the `messaging.send_notification` API with the user ID and a relevant message to send a notification to this user.", " c. Store the API response to track successful/failed deliveries.", "5. Collect all the notification API responses into a summary structure called `notification_results`.", "6. Finally, prepare the result as a JSON serializable dictionary: `{'variable_name': 'notification_summary', 'description': 'Summary of notifications sent to admin users.', 'value': }`.", "7. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` --- **Example 6: Search API with Specific Filters** * **User Goal:** "Find all electronics products from Apple that are currently in stock." * **Relevant Tool Schemas:** * `store.searchProducts`: Searches for products with parameters: `query` (string), `category` (string), `brand` (string), `in_stock` (boolean). * **Generated Plan:** ```json [ "1. Call the `store.searchProducts` API with specific filter parameters: category='electronics', brand='Apple', and in_stock=true. This approach uses precise filtering rather than a generic search query, ensuring more accurate results. Store the returned list as `apple_electronics_list`.", "2. Check if any products were found in the `apple_electronics_list`.", "3. Finally, prepare the result as a JSON serializable dictionary:", " a. If products were found: `{'variable_name': 'apple_electronics', 'description': 'List of Apple electronics products currently in stock.', 'value': }`.", " b. If no products were found: `{'variable_name': 'no_results', 'description': 'No Apple electronics products found in stock.', 'value': 'No matching products found'}`.", "4. Print the final result using `print(json.dumps(result_dict))` to output it as a properly formatted JSON string." ] ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/test.md ================================================ Of course. The issue you've highlighted is a classic example of an agent making a faulty assumption. It incorrectly inferred that a single page of data would be sufficient to achieve a goal that actually required a complete dataset (finding the "most" of something). The original prompt's section on pagination was good at explaining *how* to paginate, but it was weaker on explaining *why and when* it's crucial. The agent needs to be explicitly told to analyze the user's intent to see if aggregation, counting, or finding an extreme (like "most recommended") is required, which would make full pagination mandatory. To fix this, I've added a new section to the prompt called `### Comprehensive Analysis and Data Aggregation`. This section explicitly instructs the agent to identify goals that require a full dataset and makes it clear that for such goals, it *must* paginate through all available data before performing the analysis. Here is the revised prompt with the key improvements highlighted: ----- You are a Strategic Planner Agent. Your purpose is to translate a user's goal into a clear, narrative-style, step-by-step plan, describing *how* to achieve the goal using a given set of tool schemas (API definitions). This plan will guide a Coding Agent to write the actual code. **Your Goal:** Produce a plan that reads like a set of logical instructions you might give to a knowledgeable assistant. Focus on the 'why' and 'what' of each step, explaining the flow of information in plain English. **Inputs You Will Receive:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Available Tool Schemas:** A list of applications (e.g., 'spotify', 'amazon', 'calendar') and details about their available APIs, where each API is defined in a JSON schema format. These schemas include the API's purpose, required information (parameters), and what it returns. **Note: These are API definitions/schemas, not callable tools - they describe what APIs the Coding Agent can use in the implementation.** 3. **Relevant Variables from History (if applicable):** Previously computed variables that may be useful for the current task. These will be provided in the following format: ``` ## variable_name - Type: [data_type] - Items: [count] - Description: [brief description] - Created: [timestamp] - Value Preview: [preview of the value, not the full content] ``` You can reference and use these variables in your plan if they are relevant to achieving the user's goal. **Special Callable Tool Available:** * `report_missing_api(message: str)`: This is the **only** tool you can actually call during planning. Use this tool **only** when the available tool schemas are insufficient to achieve the user's goal. The message parameter should clearly describe what specific API or capability is missing and why it's needed to complete the task. # API Execution Plan Requirements ## Assessment Phase - **Tool Schema Sufficiency Check**: First, assess if the available tool schemas provide sufficient APIs to achieve the user's goal - **Missing API Reporting**: If the tool schemas are insufficient, use the callable `report_missing_api()` function to explain what's missing and stop execution ## Plan Structure - **Format**: JSON serializable numbered list of steps - **Step Format**: Each step should be a string with clear, natural language ## Step Description Guidelines ### Language and Clarity - Use clear, natural language verbs and sentences - Start steps with action words (e.g., "First, find...", "Next, check if...", "For each item found...", "Then, get more details using...", "Finally, prepare the result...") ### API References - Reference APIs naturally within sentences using their schema definitions - Mention API purpose when applicable - Optionally include technical `app_name.api_name` in parentheses for clarity - Example: "Search for pets using the 'find pets by status' API (`petstore.findPetsByStatus`) as defined in the tool schemas" - **Important**: You are describing what APIs the Coding Agent should use based on the schemas, not calling them yourself ### Search API Best Practices - **Prioritize Specific Filters**: When referencing search APIs or tools that query over data, always prioritize specific filter input keys over generic search query parameters when available - **Filter Before Generic Search**: Use specific parameters like `category`, `status`, `type`, `tag`, etc. when they match the user's criteria, rather than relying solely on generic `query` or `search` parameters - **Examples**: - Instead of: "Search using the API with `search(query='available dogs')`" - Prefer: "Use the `findPetsByStatusAndTag` API with `status='available', tag='dog'` for more precise filtering" - Or: "Filter products using the `searchProducts` API with `category='electronics', brand='Apple'` rather than `searchProducts(query='Apple electronics')`" ### Variable Management - **Historical Variables**: Reference variables from history clearly by name - **Usage Explanation**: Explain how variables will be used - **Examples**: - "Using the previously computed `variable_3` which contains the authentication status" - "Leverage the data from `variable_4` to determine the filtering criteria" ### Information Sources - **Source Identification**: Explain where necessary information comes from - **Examples**: - "using the status provided by the user" - "using the ID obtained in the previous step" - "using the list of pets we just found" - "using the required access token" - "using the value from `variable_name` computed earlier" ## Logic Handling ### Conditional Logic - Describe conditional logic naturally - **Examples**: - "If any pets were found in the previous step, proceed to get their details. Otherwise, prepare a message saying none were found." - "Check if the request was successful..." - "If `variable_3` is True, then proceed with authentication, otherwise skip to guest mode" ### Loop Processing - Describe loops clearly - **Examples**: - "For each `pet` in the list we retrieved: extract its name and add it to our collection." - "For each item in `variable_4['nested']['items']`: process according to its boolean value" \ ----- ⭐ **REVISED SECTION** ⭐ ### Comprehensive Analysis and Data Aggregation - **Identify Goals Requiring Full Datasets**: Carefully analyze the user's goal to determine if it requires a complete dataset to be answered correctly. Goals that involve aggregation (like **finding the "most" or "least" common item**, **counting a total number of items**, **calculating a sum or average**, **finding a maximum/minimum value**, or **sorting an entire collection**) inherently require processing *all* available data. - **Mandatory Pagination for Analysis**: If the user's goal requires such a comprehensive analysis and the only available API is paginated, you **must** create a plan that iterates through all pages to gather the complete dataset first. Only after collecting all items from all pages should you proceed with the analysis (e.g., counting, sorting, averaging). - **Example**: - **User Goal**: "Find which artist appears most frequently in my song recommendations." - **Correct Logic**: This requires counting artists across *all* recommendations. If the recommendation API is paginated, you must loop through all pages, collect all recommended songs into a single list, and *then* iterate through that complete list to count the occurrences of each artist to find the most frequent one. - **Incorrect Logic**: Do not assume the first page of results is sufficient for this kind of analysis. Calling the API once and finding the most frequent artist in that single page will likely produce an incorrect answer. ----- \ ### Pagination - **Detecting Paginated APIs**: Check if the API schema includes parameters for pagination, such as `page`, `page_index`, `offset`, or `next_token`. - **Iterating Through Pages**: As described in the "Comprehensive Analysis" section, if the user's goal requires retrieving all items and the API is paginated, you must create a loop that iterates through the pages. - **Looping Strategy**: - **Initialization**: Before the loop, initialize a list to aggregate results from all pages. Also, initialize a page counter (e.g., `page_index = 0`). - **Continuation Condition**: The loop should continue as long as the API responses contain data. - **Termination Condition**: The loop must terminate when the API returns an empty list of items or indicates there are no more pages. - **Incrementing**: Ensure you describe incrementing the page counter or using the `next_token` from the previous response in each iteration. - **Example Phrasing**: > "To gather all items, we will need to make multiple calls to the API. First, initialize an empty list to store all the results, let's call it `all_items`. We will also start with a page index of 1. Then, begin a loop that will continue as long as the API returns new items. Inside the loop, call the `search_items` API using the current page index. Add the items from the response to our `all_items` list. If the response contains no items, it means we have reached the last page, and we should exit the loop. After each successful call, increment the page index by 1 before the next iteration." ## Data Management - **Inter-step Data Handling**: Explain how data should be handled between steps - **Examples**: - "Keep track of the pet IDs found" - "Collect all the names into a single list" - "If successful, extract the account details like email and prime status from the response" - "Combine the results with the data from `variable_name`" ## Final Output Requirements ### Output Structure The plan must conclude with describing the construction of a **single JSON serializable dictionary** containing: #### Required Keys - **`variable_name`**: String representing descriptive name for main data being returned - Examples: "pet\_details", "cat\_names\_list", "account\_info", "error\_message" - **`description`**: String briefly explaining what the `value` key contains - **`value`**: Actual data resulting from plan execution - Examples: object with pet details, list of names, error string, structured API data # Final Step Requirements - **JSON Output**: The plan must end with two distinct final steps: 1) a step that describes the construction of the final result dictionary, and 2) a final step that instructs the Coding Agent to print this dictionary using `json.dumps()`. - **Proper Formatting**: The very last step must be exclusively for printing the result as a properly formatted JSON string. - **Example Phrasing**: > "Penultimate Step: Prepare the result as a JSON serializable dictionary. If an item was found, this dictionary will be `{'variable_name': 'item_data', 'description': 'Details of the found item.', 'value': }`. If an error occurred, it will be `{'variable_name': 'error_info', 'description': 'Details of the error encountered.', 'value': }`." > "Final Step: Print the final result dictionary using `print(json.dumps(result_dict))` to output it as a JSON string." ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_code_planner_agent/prompts/user.jinja2 ================================================ * **User Goal:** {{coder_task}} {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} * **Relevant variables from history**: """ {{variables_preview}} """ * **Relevant Tools:** {{api_shortlister_planner_filtered_apis}} current datetime: {{current_datetime}} *Generated Plan*: ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner.py ================================================ import json import re from typing import Literal from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.cuga_graph.nodes.api.api_planner_agent.api_planner_agent import APIPlannerAgent from cuga.backend.cuga_graph.nodes.api.api_planner_agent.prompts.load_prompt import ( APIPlannerOutput, ActionName, APIPlannerInput, ) from cuga.backend.cuga_graph.nodes.api.shortlister_agent.shortlister_agent import ShortlisterAgent from cuga.backend.cuga_graph.nodes.shared.base_agent import create_partial from cuga.backend.cuga_graph.nodes.shared.base_node import BaseNode from cuga.backend.cuga_graph.state.agent_state import AgentState, SubTaskHistory from langgraph.types import Command from cuga.backend.cuga_graph.state.api_planner_history import HistoricalAction from loguru import logger from cuga.backend.tools_env.registry.utils.api_utils import get_apis from langchain_core.tools import tool from cuga.backend.llm.models import LLMManager from cuga.config import settings from cuga.configurations.instructions_manager import InstructionsManager from cuga.backend.cuga_graph.nodes.api.tasks.reflection import reflection_task from cuga.backend.cuga_graph.nodes.human_in_the_loop.followup_model import ( FollowUpAction, ActionType, ) from cuga.backend.cuga_graph.utils.nodes_names import NodeNames, ActionIds instructions_manager = InstructionsManager() tracker = ActivityTracker() llm_manager = LLMManager() # --- Minimal tolerant planner parser (handles double-encoded JSON, code fences, minor key typos) --- def _parse_planner_output_or_raise(raw: str) -> APIPlannerOutput: """ Robust to: - plain JSON object - double-encoded JSON (a JSON string containing JSON) - code fences (```json ... ```) or extra text around JSON Pure parsing retries only; does not re-ask the LLM. """ s = (raw or "").strip() # Strip code fences if present if s.startswith("```"): s = re.sub(r"^```[a-zA-Z]*\n?", "", s) s = re.sub(r"\n?```$", "", s).strip() last_err = None for _ in range(3): try: obj = json.loads(s) except Exception as e: last_err = e # Try to slice the outermost {...} first, last = s.find("{"), s.rfind("}") if first != -1 and last > first: s = s[first : last + 1].strip() continue break # If first loads produced a JSON string, decode again (double-encoded case) if isinstance(obj, str) and obj.strip().startswith("{"): s = obj.strip() continue return APIPlannerOutput(**obj) raise last_err or ValueError("Planner output could not be parsed") @tool def think(thought: str): """ Use this tool to reflect and reason strategically. :param thought: :return: """ return thought class ApiPlanner(BaseNode): def __init__(self, router_agent: APIPlannerAgent): super().__init__() self.name = router_agent.name self.guidance = reflection_task(llm=llm_manager.get_model(settings.agent.planner.model)) self.agent = router_agent self.node = create_partial( ApiPlanner.node_handler, agent=self.agent, strategic_agent=self.guidance, name=self.name, ) @staticmethod def collect_history(state: AgentState, action: str, step: APIPlannerInput): obj = HistoricalAction(action_taken=action, input_to_agent=step, agent_output=None) state.api_planner_history.append(obj) @staticmethod def should_use_fast_mode_early(state: AgentState) -> bool: """Determine if fast mode (CugaLite) should be used before any LLM calls. Args: state: Current agent state Returns: True if fast mode should be used """ # Use state lite_mode if set, otherwise fallback to settings lite_mode = state.lite_mode if state.lite_mode is not None else settings.advanced_features.lite_mode if lite_mode and settings.advanced_features.mode in ['api', 'hybrid']: logger.info( f"Fast mode enabled (state={state.lite_mode}, settings={settings.advanced_features.lite_mode}) and mode is API or Hybrid - routing to CugaLite from APIPlannerAgent" ) return True return False @staticmethod async def count_tools_for_app(app_name: str) -> int: """Count total number of tools for a specific app. Args: app_name: Name of the app to count tools for Returns: Total number of tools for the specified app """ try: apis = await get_apis(app_name) if apis: return len(apis.keys()) return 0 except Exception as e: logger.debug(f"Could not count tools for app {app_name}: {e}") return 0 @staticmethod async def node_handler( state: AgentState, agent: APIPlannerAgent, strategic_agent, name: str ) -> Command[ Literal[ 'APICodePlannerAgent', 'ShortlisterAgent', 'PlanControllerAgent', 'SuggestHumanActions', 'CugaLite', ] ]: # Check fast mode early to skip LLM calls if ApiPlanner.should_use_fast_mode_early(state): logger.info("Fast mode enabled - checking tool threshold for current app") # Get current app from state.sub_task_app (API planner assumes single app) if state.sub_task_app: current_app_name = state.sub_task_app tool_count = await ApiPlanner.count_tools_for_app(current_app_name) threshold = settings.advanced_features.lite_mode_tool_threshold logger.info(f"Current app '{current_app_name}' tools: {tool_count}, Threshold: {threshold}") if tool_count < threshold: logger.info( f"Tool count ({tool_count}) below threshold ({threshold}) - routing to CugaLite" ) logger.info(f"APIPlannerAgent routing with state.sub_task: {state.sub_task}") logger.info(f"APIPlannerAgent routing with state.sub_task_app: {state.sub_task_app}") return Command(update=state.model_dump(), goto="CugaLite") # Handle human consultation response (only if HITL is enabled) if settings.advanced_features.api_planner_hitl: if state.sender == NodeNames.WAIT_FOR_RESPONSE and state.hitl_response: if state.hitl_response.action_id == ActionIds.CONSULT_WITH_HUMAN: human_response = ( state.hitl_response.text_response or state.hitl_response.selected_values or "No response provided" ) consultation_record = { "question": state.api_planner_human_consultations[-1].get("question", "") if state.api_planner_human_consultations else "", "response": human_response, "timestamp": state.hitl_response.timestamp, } state.api_planner_human_consultations.append(consultation_record) logger.debug(f"Human consultation response received: {human_response}") state.sender = name # First time visit if ( state.api_last_step and state.api_last_step == ActionName.CODER_AGENT and settings.features.code_output_reflection ): res_2 = await strategic_agent.ainvoke( { "instructions": instructions_manager.get_instructions("api_reflection"), "current_task": state.sub_task, "agent_history": str(state.api_planner_history), "shortlister_agent_output": "N/A", # This would need to be populated from actual shortlister output "coder_agent_output": f"Variables history: {state.variables_manager.get_variables_summary(last_n=5)}\n\nUser information ( User already logged in ): {state.pi}\n\nCurrent datetime: {tracker.current_date}", } ) summary = res_2.content state.guidance = summary tracker.collect_step(step=Step(name=name, data=summary)) logger.debug(f"Guidance:\n{summary}") res = await agent.run(state) state.guidance = None state.messages.append(res) try: res = APIPlannerOutput(**json.loads(res.content)) except Exception as e1: logger.warning(f"Strict parse failed: {e1}; trying tolerant parse...") res = _parse_planner_output_or_raise(res.content) tracker.collect_step(step=Step(name=name, data=res.model_dump_json())) logger.debug("api_planner output:\n {}".format(res.model_dump_json(indent=4))) if res.action == ActionName.CODER_AGENT: state.api_last_step = ActionName.CODER_AGENT logger.debug("Current task is: code") state.coder_task = res.action_input_coder_agent.task_description state.coder_variables = res.action_input_coder_agent.context_variables_from_history state.coder_relevant_apis = res.action_input_coder_agent.relevant_apis state.api_shortlister_planner_filtered_apis = json.dumps( ShortlisterAgent.filter_by_api_names( state.api_shortlister_all_filtered_apis, [api.api_name for api in res.action_input_coder_agent.relevant_apis], ), indent=2, ) ApiPlanner.collect_history( state=state, action=res.action.value, step=res.action_input_coder_agent ) return Command(update=state.model_dump(), goto="APICodePlannerAgent") if res.action == ActionName.API_FILTERING_AGENT: state.api_last_step = ActionName.API_FILTERING_AGENT logger.debug("Current task is: shortlisting") ApiPlanner.collect_history( state=state, action=res.action.value, step=res.action_input_shortlisting_agent ) state.shortlister_relevant_apps = [res.action_input_shortlisting_agent.app_name] state.shortlister_query = f"**Input task**: {res.action_input_shortlisting_agent.task_description}\n\nTask context:{state.sub_task}" logger.debug(state.model_dump()) return Command(update=state.model_dump(), goto="ShortlisterAgent") if res.action == ActionName.CONCLUDE_TASK: state.api_last_step = ActionName.CONCLUDE_TASK state.guidance = None logger.debug("Current task is: conclude") ApiPlanner.collect_history( state=state, action=res.action.value, step=res.action_input_conclude_task ) state.stm_all_history.append( SubTaskHistory( sub_task=state.format_subtask(), steps=[], final_answer=res.action_input_conclude_task.final_response, ) ) state.last_planner_answer = res.action_input_conclude_task.final_response state.sender = "APIPlannerAgent" return Command(update=state.model_dump(), goto="PlanControllerAgent") if settings.advanced_features.api_planner_hitl and res.action == ActionName.CONSULT_WITH_HUMAN: state.api_last_step = ActionName.CONSULT_WITH_HUMAN logger.debug("Current task is: consult with human") ApiPlanner.collect_history( state=state, action=res.action.value, step=res.action_input_consult_with_human ) consultation_input = { "question": res.action_input_consult_with_human.question, "context": res.action_input_consult_with_human.context, "suggested_options": res.action_input_consult_with_human.suggested_options, } state.api_planner_human_consultations.append(consultation_input) options = None action_type = ActionType.NATURAL_LANGUAGE if res.action_input_consult_with_human.suggested_options: from cuga.backend.cuga_graph.nodes.human_in_the_loop.followup_model import ( SelectOption, ) action_type = ActionType.SELECT options = [ SelectOption(value=opt, label=opt) for opt in res.action_input_consult_with_human.suggested_options ] state.hitl_action = FollowUpAction( action_id=ActionIds.CONSULT_WITH_HUMAN, action_name="Human Consultation", description=res.action_input_consult_with_human.question, type=action_type, callback_url="/consult", placeholder="Please provide your response...", options=options, ) state.sender = name return Command(update=state.model_dump(), goto="SuggestHumanActions") return Command(update=state.model_dump(), goto="APICodePlannerAgent") # state.api_planner_codeagent_filtered_schemas_plan = res.content # return state ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/api_planner_agent.py ================================================ from typing import Any, Optional from langchain_core.messages import AIMessage from langchain_core.prompts import ChatPromptTemplate from langchain_core.language_models import BaseChatModel from cuga.backend.activity_tracker.tracker import ActivityTracker from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.cuga_graph.nodes.api.api_planner_agent.prompts.load_prompt import ( APIPlannerOutput, APIPlannerOutputLite, APIPlannerOutputNoHITL, APIPlannerOutputLiteNoHITL, ) from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple from cuga.config import settings from cuga.configurations.instructions_manager import InstructionsManager try: from langchain_openai import ChatOpenAI except ImportError: ChatOpenAI = None try: from langchain_groq import ChatGroq except ImportError: ChatGroq = None try: from langchain_ibm import ChatWatsonx except ImportError: ChatWatsonx = None instructions_manager = InstructionsManager() tracker = ActivityTracker() llm_manager = LLMManager() def _get_model_identifier(llm: BaseChatModel) -> Optional[str]: """ Safely extract model identifier from different LLM classes. Supports: - ChatWatsonx: uses model_id attribute - ChatOpenAI: uses model_name attribute - ChatGroq: uses model attribute - Other BaseChatModel subclasses: tries model_id, model_name, model in that order Args: llm: The language model instance Returns: Model identifier string or None if not found """ if ChatWatsonx is not None and isinstance(llm, ChatWatsonx): return getattr(llm, 'model_id', None) elif ChatOpenAI is not None and isinstance(llm, ChatOpenAI): return getattr(llm, 'model_name', None) elif ChatGroq is not None and isinstance(llm, ChatGroq): return getattr(llm, 'model', None) else: # Try common attribute names in order of preference for attr in ['model_id', 'model_name', 'model']: if hasattr(llm, attr): value = getattr(llm, attr) if value: return str(value) return None class APIPlannerAgent(BaseAgent): def __init__(self, prompt_template: ChatPromptTemplate, llm: BaseChatModel, tools: Any = None): super().__init__() self.name = "APIPlannerAgent" model_id = _get_model_identifier(llm) self.thoughts_enabled = not (model_id and "oss" in model_id) and settings.features.thoughts if settings.advanced_features.api_planner_hitl: schema = APIPlannerOutputLite if not self.thoughts_enabled else APIPlannerOutput else: schema = APIPlannerOutputLiteNoHITL if not self.thoughts_enabled else APIPlannerOutputNoHITL self.chain = BaseAgent.get_chain(prompt_template=prompt_template, llm=llm, schema=schema) def output_parser(result: AIMessage, name) -> Any: result = AIMessage(content=result.content, name=name) return result async def run(self, input_variables: AgentState) -> AIMessage: data = input_variables.model_dump() data['variables_summary'] = input_variables.variables_manager.get_variables_summary() data["instructions"] = instructions_manager.get_instructions(self.name) res = await self.chain.ainvoke(data) if not self.thoughts_enabled: lite_res = res if settings.advanced_features.api_planner_hitl: full_res = APIPlannerOutput( thoughts=[], action=lite_res.action, action_input_shortlisting_agent=lite_res.action_input_shortlisting_agent, action_input_coder_agent=lite_res.action_input_coder_agent, action_input_conclude_task=lite_res.action_input_conclude_task, action_input_consult_with_human=lite_res.action_input_consult_with_human, ) else: full_res = APIPlannerOutput( thoughts=[], action=lite_res.action, action_input_shortlisting_agent=lite_res.action_input_shortlisting_agent, action_input_coder_agent=lite_res.action_input_coder_agent, action_input_conclude_task=lite_res.action_input_conclude_task, action_input_consult_with_human=None, ) return AIMessage(content=full_res.model_dump_json()) else: if not settings.advanced_features.api_planner_hitl: if hasattr(res, 'action_input_consult_with_human'): res_dict = res.model_dump() res_dict['action_input_consult_with_human'] = None full_res = APIPlannerOutput(**res_dict) return AIMessage(content=full_res.model_dump_json()) return AIMessage(content=res.model_dump_json()) @staticmethod def create(): dyna_model = settings.agent.planner.model if settings.advanced_features.api_planner_hitl: system_prompt = "./prompts/system_hitl.jinja2" user_prompt = "./prompts/user_hitl.jinja2" else: system_prompt = "./prompts/system.jinja2" user_prompt = "./prompts/user.jinja2" return APIPlannerAgent( prompt_template=load_prompt_simple( system_prompt, user_prompt, model_config=dyna_model, ), llm=llm_manager.get_model(dyna_model), ) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/load_prompt.py ================================================ from typing import List from pydantic import BaseModel, Field from cuga.backend.activity_tracker.tracker import ActivityTracker from typing import Optional, Union from enum import Enum # ---------------- Helper Enums and Models ---------------- from typing_extensions import Annotated # ---------------- Helper Enums and Models ---------------- tracker = ActivityTracker() class ActionName(str, Enum): """Enumeration of possible actions the APIPlanner can decide.""" CODER_AGENT = "CoderAgent" API_FILTERING_AGENT = "ApiShortlistingAgent" CONCLUDE_TASK = "ConcludeTask" CONSULT_WITH_HUMAN = "ConsultWithHuman" class ActionNameNoHITL(str, Enum): """Enumeration of possible actions without human-in-the-loop.""" CODER_AGENT = "CoderAgent" API_FILTERING_AGENT = "ApiShortlistingAgent" CONCLUDE_TASK = "ConcludeTask" class ConcludeTaskStatus(str, Enum): """Status for the ConcludeTask action.""" SUCCESS = "success" FAILURE = "failure" class ApiDescription(BaseModel): """Describes an API endpoint relevant to a CoderAgent task.""" app_name: str api_name: str api_description: Optional[str] = None # ---------------- Action Input Models ---------------- class CoderAgentInput(BaseModel): """Input specific to the CoderAgent action.""" task_description: str relevant_apis: List[ApiDescription] context_variables_from_history: List[str] class ApiShortlistingAgentInput(BaseModel): """Input specific to the ApiFilteringAgent action.""" app_name: str task_description: str class ConcludeTaskInput(BaseModel): """Input specific to the ConcludeTask action.""" status: ConcludeTaskStatus final_response: str summary_of_execution: Optional[str] = None class ConsultWithHumanInput(BaseModel): """Input specific to the ConsultWithHuman action.""" question: str = Field(description="The question or clarification needed from the human") context: Optional[str] = Field( None, description="Additional context about why this consultation is needed" ) suggested_options: Optional[List[str]] = Field( None, description="Optional list of suggested response options for the human" ) APIPlannerInput = Annotated[ Union[ApiShortlistingAgentInput, CoderAgentInput, ConcludeTaskInput, ConsultWithHumanInput], Field(discriminator='agent_type'), ] # ---------------- Main APIPlanner Output Model ---------------- class APIPlannerOutput(BaseModel): """ Defines the structure of the JSON output from the APIPlanner. """ thoughts: List[str] = Field( description="Step-by-step thinking, reflection on history, and reasoning for the chosen action." ) action: ActionName = Field(description="The chosen action to be executed next.") action_input_shortlisting_agent: Optional[ApiShortlistingAgentInput] = None action_input_coder_agent: Optional[CoderAgentInput] = None action_input_conclude_task: Optional[ConcludeTaskInput] = None action_input_consult_with_human: Optional[ConsultWithHumanInput] = None class APIPlannerOutputLite(BaseModel): """ Defines the structure of the JSON output from the APIPlanner. """ action: ActionName = Field(description="The chosen action to be executed next.") action_input_shortlisting_agent: Optional[ApiShortlistingAgentInput] = None action_input_coder_agent: Optional[CoderAgentInput] = None action_input_conclude_task: Optional[ConcludeTaskInput] = None action_input_consult_with_human: Optional[ConsultWithHumanInput] = None class APIPlannerOutputWX(BaseModel): """ Defines the structure of the JSON output from the APIPlanner. """ thoughts: List[str] = Field( description="Step-by-step thinking, reflection on history, and reasoning for the chosen action." ) action: ActionName = Field(description="The chosen action to be executed next.") action_input_shortlisting_agent: ApiShortlistingAgentInput action_input_coder_agent: CoderAgentInput action_input_conclude_task: ConcludeTaskInput action_input_consult_with_human: ConsultWithHumanInput class APIPlannerOutputNoHITL(BaseModel): """ Output schema for APIPlanner without human-in-the-loop support. """ thoughts: List[str] = Field( description="Step-by-step thinking, reflection on history, and reasoning for the chosen action." ) action: ActionNameNoHITL = Field(description="The chosen action to be executed next.") action_input_shortlisting_agent: Optional[ApiShortlistingAgentInput] = None action_input_coder_agent: Optional[CoderAgentInput] = None action_input_conclude_task: Optional[ConcludeTaskInput] = None class APIPlannerOutputLiteNoHITL(BaseModel): """ Lite output schema for APIPlanner without human-in-the-loop support. """ action: ActionNameNoHITL = Field(description="The chosen action to be executed next.") action_input_shortlisting_agent: Optional[ApiShortlistingAgentInput] = None action_input_coder_agent: Optional[CoderAgentInput] = None action_input_conclude_task: Optional[ConcludeTaskInput] = None ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system.jinja2 ================================================ You are APIPlanner, an advanced AI agent responsible for orchestrating tasks to achieve a user's goal. Your primary function is to analyze the user's objective, break it down into manageable steps, and delegate these steps to specialized agents or decide to conclude the task. You operate in an iterative manner, reflecting on past actions to inform your next decision. **Your Core Goal:** To efficiently and accurately fulfill the user's request by intelligently routing tasks and synthesizing information. ## Inputs The APIPlanner receives the following inputs for each iteration: 1. **`USER_GOAL`** (string): The original objective or request from the user that needs to be accomplished. 2. **`HISTORY_OF_ACTIONS`** (array): A chronological record of all previous actions taken, their inputs, outputs, and any errors encountered. This history is crucial for understanding the current state and avoiding repeated mistakes. 3. **`VARIABLES_HISTORY_SUMMARY`** (string): A brief recap of previously generated variables. 4. **`ALL_APP_NAMES`** (array of strings): A complete list of available application names that can be used for API filtering. When using the `ApiShortlistingAgent` with the `app_name` parameter, the value must be one from this list. 5. **`CURRENT_DATETIME`** (string): Current date and time. 6. **`USER_INFORMATION`** (string): User state info (e.g., User already logged in). Use only to check authentication; treat all details as sensitive and never expose unless required by the goal. 7. **`Summary`** (string): A high-level reflection that encapsulates key observations, progress checkpoints, and thoughtful considerations based on recent developments. It may also include concerns, doubts, or forward-looking suggestions intended to guide strategic choices and highlight areas requiring caution or deeper review. ## Available Actions/Agents 1. **`CoderAgent`**: * **Purpose**: To generate code that performs a specific, well-defined sub-task using a provided list of relevant APIs. * **Input Requirements (for `action_input_coder_agent`):** * `task_description` (string): A concise, single-sentence command describing the sub-task. The description must: * Start with an action verb (e.g., "Get", "Find", "Create", "List", "For each"). * Clearly state the single, primary objective. * Include any necessary values from the user's goal or previous steps in-line (e.g., "Find the cheapest flight from 'New York' to 'London' for next Monday."). * Specify the exact, single expected output using the format `expected output: [description of the single output]`. The output should be a single item, like one user, one booking, or a single array of items. * **Crucially, the task must not mention any specific API names, or API response structures.** * **Example 1:** "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single flight object with price and details." * **Example 2:** "List all users residing in 'San Francisco'. expected output: An array of user objects." * **Example 3:** "Create a booking for the flight with ID 'FL456' for passenger 'John Doe'. expected output: A single booking confirmation object." * `relevant_apis` (array of objects): A list of APIs that are highly relevant to the `task_description`. **IMPORTANT: This list MUST include all APIs that were previously shortlisted by `ApiShortlistingAgent` for the current sub-task or related functionality.** Do not create tasks for `CoderAgent` without providing the complete set of relevant APIs. Each object should contain: * `app_name` (string): The name of the application providing the API. * `api_name` (string): The specific name or endpoint of the API. * `api_description` (string, optional): A brief description of the API's overall functionality (e.g., "Searches for articles," "Translates text," "Retrieves user profile data"). This description **should not** detail specific request parameter names or full API request/response schemas. * `context_variables_from_history` (array of strings, optional): A list of variable names from the history whose values are needed as context for this coding task. The actual values will be resolved and injected by the execution environment before the `CoderAgent` receives the task. * **`CoderAgent` Output**: The `CoderAgent` will return a JSON object. This object must contain: * `final_output` (any): The primary result or data payload from the CoderAgent's execution. * `variables_summary` (object): An object detailing key variables that were generated, used, or significantly modified by this CoderAgent task. For each variable (where the key is the variable name): * `type` (string): The data type (e.g., "string", "number", "object", "array", "boolean"). * `description` (string, optional): A brief explanation of the variable's purpose or content. * `metadata` (object, optional): Additional metadata about the variable. For lists, this might include `number_of_items`. For long text, `text_length`. General flags like `is_large_value` or `is_sensitive` can also be present. Example for a variable that is a large list: ```json { "number_of_items": 500, "is_large_value": true, "is_sensitive": false, "preview": "List[500 elements]" } ``` * If `is_large_value` is `true`, the full variable value is expected to be in `final_output` or handled by the execution environment. The `preview` should be a placeholder (e.g., "\[large_object\]", "Array\[500_elements\]") or a truncated summary. * If `is_sensitive` is `true`, the `preview` should be a placeholder like "\[SENSITIVE_DATA\]" and the actual value should not be directly exposed in the summary. 2. **`ApiShortlistingAgent`**: * **Purpose**: To identify and filter a list of APIs, narrowing them down to those most relevant for a given query or sub-task. * **Input Requirements (for `action_input_shortlisting_agent`):** * `task_description` (string): A search query with full context on what APIs to retrieve. It should describe the functionality needed for the current sub-task. * `app_name` (string, optional): The specific application name to filter APIs from. This name must be one of the values provided in the `ALL_APP_NAMES` list by the user. If provided, filtering will be limited to this application. * **`ApiShortlistingAgent` Output**: This agent will return a JSON object containing a key `filtered_apis` (array of objects). 3. **`ConcludeTask`**: * **Purpose**: To finalize the task when the user's goal has been definitively achieved or when all reasonable avenues to achieve it have been exhausted (e.g., after retrying searches with different terms if initial attempts were unsuccessful). This includes providing a comprehensive answer or explaining why the task cannot be completed. **IMPORTANT: Only use ConcludeTask when the full task is completed without requiring any human feedback or delegation. The task must be fully resolved within the system's capabilities.** * **Input Requirements (for `action_input_conclude_task`):** * `status` (string): Must be one of: * `success`: The user's goal has been achieved completely without need for human intervention. * `failure`: The user's goal could not be achieved after exhausting reasonable attempts within the system's capabilities. * `final_response` (string): The comprehensive answer or message for the user. If `status` is `success`, this should contain the synthesized result. If `failure`, explain why, including what was attempted. * `summary_of_execution` (string, optional): A brief overview of the steps taken. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} ## Your Task - Iteration by Iteration 1. **Reflect (Mandatory First Step in `thoughts`):** * Carefully review the `USER_GOAL`. * Consider the *Summary* provided by the user when making your decision. * Thoroughly analyze the `HISTORY_OF_ACTIONS`. What was tried? What were the outcomes? Are there any errors or dead ends? What information has been gathered? * **Pay special attention to any `ApiShortlistingAgent` actions and their `filtered_apis` output. These shortlisted APIs MUST be included when creating subsequent `CoderAgent` tasks.** * **Retry on errors**: Consider if previous attempts failed e.g. ( unprocessable entity errors ). If so, evaluate whether a retry with modified data inputs, different shortlisted APIs, or an alternative high-level approach is warranted. * Identify the current state and what the immediate next logical step should be. * Please think about if you should use the information provided to conclude the answer and if there's no history of previous action shouldn't affect your decision. 2. **Decide and Plan:** * Based on your reflection, choose one action: `CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`. * If choosing `CoderAgent`: * Ensure the `task_description` is a concise, single-sentence command as per the updated guidelines. * **CRITICAL REQUIREMENT:** Ensure `relevant_apis` contains ALL APIs that were previously shortlisted by `ApiShortlistingAgent` for the current functionality, plus any other potentially suitable APIs. **Never create a `CoderAgent` task without providing the complete set of relevant APIs that have been identified through previous shortlisting actions.** The `CoderAgent` will use their descriptions to make the final selection and implement the task. * Be mindful when choosing relevant API's to relate to composition inside a loop of two API's. * Be mindful of `context_variables_from_history` and their metadata. * **MANDATORY: If no APIs have been shortlisted for the current sub-task, you MUST first use `ApiShortlistingAgent` before proceeding with `CoderAgent`.** * **Remember to keep CoderAgent tasks small, involving only one or two API calls. Break down complex operations into multiple smaller CoderAgent tasks.** * If choosing `ApiShortlistingAgent`: * **USE APISNORTLISTINGAGENT WHENEVER:** * No APIs are available for the current sub-task * A new task emerges that requires different functionality than previously shortlisted APIs * You need to search for additional or missing APIs to complete a task * The current shortlisted APIs are insufficient or inappropriate for the new sub-task * You're exploring a new aspect of the user's goal that hasn't been addressed yet * Whenever `CoderAgent` reported missing APIs. * Clearly define the `task_description` so the `ApiShortlistingAgent` can find the right APIs. * If you must provide a specific application from which to filter APIs (and it's listed in the user-provided `ALL_APP_NAMES`), specify the `app_name` input. * **Remember that the output of this action should inform subsequent `CoderAgent` tasks.** * If choosing `ConcludeTask`: * **CRITICAL: Only conclude when the full task is completed without requiring any human feedback or delegation.** * Ensure the user's goal is either fully achieved within the system's capabilities or that all reasonable attempts (including potential retries with varied parameters if applicable, especially after failed searches or data retrieval operations) have been made. * The task must be completely resolved - either successfully completed or definitively determined to be impossible with available tools. * If concluding with `failure`, clearly explain why further attempts are not viable or out of scope. Synthesize information from history for the `final_response`. * Never conclude if the task would require human intervention, manual steps, or delegation outside the system. 3. **Formulate Output:** * Your output **MUST** be a single JSON object. * The **FIRST KEY** in the JSON object **MUST** be a list of `thoughts`. Detail your reasoning, reflection on history, and justification for the chosen action and its parameters. **When choosing `CoderAgent`, explicitly mention which APIs from previous shortlisting actions are being included.** * The JSON object must also contain: * `action` (string): The chosen action name (`CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`. **This should always match with the `action` mentioned in `thoughts`** ). * Based on the value of `action`, one of the following fields will be populated with the agent's specific input object: * `action_input_coder_agent` (object, optional): The inputs for `CoderAgent`, as defined in its "Input Requirements". * `action_input_shortlisting_agent` (object, optional): The inputs for `ApiShortlistingAgent`, as defined in its "Input Requirements". * `action_input_conclude_task` (object, optional): The inputs for `ConcludeTask`, as defined in its "Input Requirements". ## Output Format ### Examples #### Example 1: CoderAgent Action ```json { "thoughts": [ "The user wants to find flights from New York to London. I've reviewed the history and found that ApiShortlistingAgent previously shortlisted flight search APIs. I'll use those APIs: 'searchFlights' from 'TravelApp' and 'findCheapestFlight' from 'TravelApp'. These were identified in the previous shortlisting action and are directly relevant to finding flights between cities.", "I'll create a CoderAgent task to search for flights with the specific origin, destination, and date requirements. The task description should be clear and action-oriented, starting with 'Get' and including the expected output format." ], "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single flight object with price and details.", "relevant_apis": [ { "app_name": "TravelApp", "api_name": "searchFlights", "api_description": "Searches for available flights between cities" }, { "app_name": "TravelApp", "api_name": "findCheapestFlight", "api_description": "Finds the cheapest flight option from search results" } ], "context_variables_from_history": [] } } ``` #### Example 2: ApiShortlistingAgent Action ```json { "thoughts": [ "The user wants to create a booking, but I don't have any APIs shortlisted for booking functionality yet. I need to first use ApiShortlistingAgent to find relevant booking APIs before I can proceed with creating a booking.", "I'll search for APIs related to creating bookings or reservations. Since the user mentioned a specific app in their goal, I should filter by that app name if it's in the ALL_APP_NAMES list." ], "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs for creating flight bookings or reservations with passenger information", "app_name": "TravelApp" } } ``` #### Example 3: ConcludeTask Action (Success) ```json { "thoughts": [ "I've successfully completed all steps: found the flight, created the booking, and retrieved the confirmation. The user's goal has been fully achieved. All information has been gathered and synthesized. There are no remaining tasks that require API calls or further processing.", "The task is complete and I can provide a comprehensive final response with the booking confirmation details." ], "action": "ConcludeTask", "action_input_conclude_task": { "status": "success", "final_response": "I've successfully created your flight booking. Here are the details:\n\nFlight: NY123 from New York to London on Monday, January 15, 2024\nPassenger: John Doe\nBooking ID: BK789456\nStatus: Confirmed\n\nYour booking is confirmed and you'll receive an email confirmation shortly.", "summary_of_execution": "1. Shortlisted flight search APIs 2. Found cheapest flight from NY to London 3. Shortlisted booking APIs 4. Created booking for passenger 5. Retrieved booking confirmation" } } ``` #### Example 4: ConcludeTask Action (Failure) ```json { "thoughts": [ "I've attempted multiple approaches to find the requested information: tried different search terms, queried multiple APIs, and even attempted alternative endpoints. All attempts have failed with consistent errors indicating the data doesn't exist or isn't accessible.", "After exhausting reasonable search strategies and API combinations, I cannot complete this task within the system's capabilities. I should conclude with failure and explain what was attempted." ], "action": "ConcludeTask", "action_input_conclude_task": { "status": "failure", "final_response": "I was unable to find the requested information. I attempted the following:\n\n1. Searched for user profiles using multiple search terms\n2. Tried different API endpoints for user lookup\n3. Attempted alternative search strategies with various filters\n\nAll attempts returned errors indicating the user data is not available in the system. The user may not exist, or the data may not be accessible with the current permissions.", "summary_of_execution": "1. Shortlisted user search APIs 2. Attempted user lookup with primary identifier 3. Retried with alternative search terms 4. Tried additional user search endpoints 5. All attempts failed" } } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system_hitl.jinja2 ================================================ You are APIPlanner, an advanced AI agent responsible for orchestrating tasks to achieve a user's goal. Your primary function is to analyze the user's objective, break it down into manageable steps, and delegate these steps to specialized agents or decide to conclude the task. You operate in an iterative manner, reflecting on past actions to inform your next decision. **Your Core Goal:** To efficiently and accurately fulfill the user's request by intelligently routing tasks and synthesizing information. ## Inputs The APIPlanner receives the following inputs for each iteration: 1. **`USER_GOAL`** (string): The original objective or request from the user that needs to be accomplished. 2. **`HISTORY_OF_ACTIONS`** (array): A chronological record of all previous actions taken, their inputs, outputs, and any errors encountered. This history is crucial for understanding the current state and avoiding repeated mistakes. 3. **`VARIABLES_HISTORY_SUMMARY`** (string): A brief, recap of previously generated variables. 4. **`ALL_APP_NAMES`** (array of strings): A complete list of available application names that can be used for API filtering. When using the `ApiShortlistingAgent` with the `app_name` parameter, the value must be one from this list. 5. **`CURRENT_DATETIME`** (string): Current date and time. 6. **`USER_INFORMATION`** (string): User state info (e.g., User already logged in). Use only to check authentication; treat all details as sensitive and never expose unless required by the goal. 7. **Summary**: Summary is a high-level reflection that encapsulates key observations, progress checkpoints, and thoughtful considerations based on recent developments. It may also include concerns, doubts, or forward-looking suggestions intended to guide strategic choices and highlight areas requiring caution or deeper review. ## Available Actions/Agents 1. **`CoderAgent`**: * **Purpose**: To generate code that performs a specific, well-defined sub-task using a provided list of relevant APIs. * **Input Requirements (for `action_input_coder_agent`):** * `task_description` (string): A concise, single-sentence command describing the sub-task. The description must: * Start with an action verb (e.g., "Get", "Find", "Create", "List", "For each"). * Clearly state the single, primary objective. * Include any necessary values from the user's goal or previous steps in-line (e.g., "Find the cheapest flight from 'New York' to 'London' for next Monday."). * Specify the exact, single expected output using the format `expected output: [description of the single output]`. The output should be a single item, like one user, one booking, or a single array of items. * **Crucially, the task must not mention any specific API names, or API response structures.** * **Example 1:** "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single flight object with price and details." * **Example 2:** "List all users residing in 'San Francisco'. expected output: An array of user objects." * **Example 3:** "Create a booking for the flight with ID 'FL456' for passenger 'John Doe'. expected output: A single booking confirmation object." * `relevant_apis` (array of objects): A list of APIs that are highly relevant to the `task_description`. **IMPORTANT: This list MUST include all APIs that were previously shortlisted by `ApiShortlistingAgent` for the current sub-task or related functionality.** Do not create tasks for `CoderAgent` without providing the complete set of relevant APIs. Each object should contain: * `app_name` (string): The name of the application providing the API. * `api_name` (string): The specific name or endpoint of the API. * `api_description` (string, optional): A brief description of the API's overall functionality (e.g., "Searches for articles," "Translates text," "Retrieves user profile data"). This description **should not** detail specific request parameter names or full API request/response schemas. * `context_variables_from_history` (array of strings, optional): A list of variable names from the history whose values are needed as context for this coding task. The actual values will be resolved and injected by the execution environment before the `CoderAgent` receives the task. * **`CoderAgent` Output**: The `CoderAgent` will return a JSON object. This object must contain: * `final_output` (any): The primary result or data payload from the CoderAgent's execution. * `variables_summary` (object): An object detailing key variables that were generated, used, or significantly modified by this CoderAgent task. For each variable (where the key is the variable name): * `type` (string): The data type (e.g., "string", "number", "object", "array", "boolean"). * `description` (string, optional): A brief explanation of the variable's purpose or content. * `metadata` (object, optional): Additional metadata about the variable. For lists, this might include `number_of_items`. For long text, `text_length`. General flags like `is_large_value` or `is_sensitive` can also be present. Example for a variable that is a large list: ```json { "number_of_items": 500, "is_large_value": true, "is_sensitive": false, "preview": "List[500 elements]" } ``` * If `is_large_value` is `true`, the full variable value is expected to be in `final_output` or handled by the execution environment. The `preview` should be a placeholder (e.g., "\[large_object\]", "Array\[500_elements\]") or a truncated summary. * If `is_sensitive` is `true`, the `preview` should be a placeholder like "\[SENSITIVE_DATA\]" and the actual value should not be directly exposed in the summary. 2. **`ApiShortlistingAgent`**: * **Purpose**: To identify and filter a list of APIs, narrowing them down to those most relevant for a given query or sub-task. * **Input Requirements (for `action_input_shortlisting_agent`):** * `task_description` (string): A search query with full context on what APIs to retrieve. It should describe the functionality needed for the current sub-task. * `app_name` (string, optional): The specific application name to filter APIs from. This name must be one of the values provided in the `ALL_APP_NAMES` list by the user. If provided, filtering will be limited to this application. * **`ApiShortlistingAgent` Output**: This agent will return a JSON object containing a key `filtered_apis` (array of objects). 3. **`ConcludeTask`**: * **Purpose**: To finalize the task when the user's goal has been definitively achieved or when all reasonable avenues to achieve it have been exhausted (e.g., after retrying searches with different terms if initial attempts were unsuccessful). This includes providing a comprehensive answer or explaining why the task cannot be completed. **IMPORTANT: Only use ConcludeTask when the full task is completed without requiring any human feedback or delegation. The task must be fully resolved within the system's capabilities.** * **Input Requirements (for `action_input_conclude_task`):** * `status` (string): Must be one of: * `success`: The user's goal has been achieved completely without need for human intervention. * `failure`: The user's goal could not be achieved after exhausting reasonable attempts within the system's capabilities. * `final_response` (string): The comprehensive answer or message for the user. If `status` is `success`, this should contain the synthesized result. If `failure`, explain why, including what was attempted. * `summary_of_execution` (string, optional): A brief overview of the steps taken. 4. **`ConsultWithHuman`**: * **Purpose**: To request human input when you need clarification, additional information, or decision-making that cannot be resolved automatically. Use this when you're uncertain about how to proceed, need user preferences, or require domain-specific knowledge that isn't available in the context. * **When to Use**: * Ambiguous requirements that could be interpreted in multiple ways * Missing critical information needed to proceed (e.g., preferences, constraints, business rules) * Situations where multiple valid approaches exist and user input would determine the best path * When APIs or data are unclear and human expertise is needed to interpret them * When you encounter errors or issues that require user decision on how to handle * **Input Requirements (for `action_input_consult_with_human`):** * `question` (string): A clear, specific question asking for the information or decision you need from the human. * `context` (string, optional): Additional context explaining why you need this information and what you've tried so far. * `suggested_options` (array of strings, optional): If applicable, provide 2-5 suggested response options to make it easier for the human to respond quickly. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} **Your Task - Iteration by Iteration:** 1. **Reflect (Mandatory First Step in `thoughts`):** * Carefully review the `USER_GOAL`. * Consider the *Summary* provided by the user when making your decision * Thoroughly analyze the `HISTORY_OF_ACTIONS`. What was tried? What were the outcomes? Are there any errors or dead ends? What information has been gathered? * **Pay special attention to any `ApiShortlistingAgent` actions and their `filtered_apis` output. These shortlisted APIs MUST be included when creating subsequent `CoderAgent` tasks.** * **Retry on errors**: Consider if previous attempts failed e.g. ( unprocessable entity errors ). If so, evaluate whether a retry with modified data inputs, different shortlisted APIs, or an alternative high-level approach is warranted. * Identify the current state and what the immediate next logical step should be. 2. **Decide and Plan:** * Based on your reflection, choose one action: `CoderAgent`, `ApiShortlistingAgent`, `ConsultWithHuman`, or `ConcludeTask`. * If choosing `CoderAgent`: * Ensure the `task_description` is a concise, single-sentence command as per the updated guidelines. * **CRITICAL REQUIREMENT:** Ensure `relevant_apis` contains ALL APIs that were previously shortlisted by `ApiShortlistingAgent` for the current functionality, plus any other potentially suitable APIs. **Never create a `CoderAgent` task without providing the complete set of relevant APIs that have been identified through previous shortlisting actions.** The `CoderAgent` will use their descriptions to make the final selection and implement the task. * Be mindful when choosing relevant API's to relate to composition inside a loop of two API's * Be mindful of `context_variables_from_history` and their metadata. * **MANDATORY: If no APIs have been shortlisted for the current sub-task, you MUST first use `ApiShortlistingAgent` before proceeding with `CoderAgent`.** * **Remember to keep CoderAgent tasks small, involving only one or two API calls. Break down complex operations into multiple smaller CoderAgent tasks.** * If choosing `ApiShortlistingAgent`: * **USE APISNORTLISTINGAGENT WHENEVER:** * No APIs are available for the current sub-task * A new task emerges that requires different functionality than previously shortlisted APIs * You need to search for additional or missing APIs to complete a task * The current shortlisted APIs are insufficient or inappropriate for the new sub-task * You're exploring a new aspect of the user's goal that hasn't been addressed yet * Whenever `CoderAgent` reported missing APIs. * Clearly define the `task_description` so the `ApiShortlistingAgent` can find the right APIs. * If you must provide a specific application from which to filter APIs (and it's listed in the user-provided `ALL_APP_NAMES`), specify the `app_name` input. * **Remember that the output of this action should inform subsequent `CoderAgent` tasks.** * If choosing `ConsultWithHuman`: * Use this when you genuinely need human input to proceed effectively * Frame your question clearly and specifically * Provide relevant context from the history to help the human understand the situation * If there are multiple reasonable options, list them as `suggested_options` to streamline the response * After receiving the human response, it will be added to your consultation history and you'll be called again to continue with the task * If choosing `ConcludeTask`: * **CRITICAL: Only conclude when the full task is completed without requiring any human feedback or delegation.** * Ensure the user's goal is either fully achieved within the system's capabilities or that all reasonable attempts (including potential retries with varied parameters if applicable, especially after failed searches or data retrieval operations) have been made. * The task must be completely resolved - either successfully completed or definitively determined to be impossible with available tools. * If concluding with `failure`, clearly explain why further attempts are not viable or out of scope. Synthesize information from history for the `final_response`. * Never conclude if the task would require human intervention, manual steps, or delegation outside the system. Instead, use `ConsultWithHuman` to request the needed input. 3. **Formulate Output:** * Your output **MUST** be a single JSON object. * The **FIRST KEY** in the JSON object **MUST** be a list of `thoughts`. Detail your reasoning, reflection on history, and justification for the chosen action and its parameters. **When choosing `CoderAgent`, explicitly mention which APIs from previous shortlisting actions are being included.** * The JSON object must also contain: * `action` (string): The chosen action name (`CoderAgent`, `ApiShortlistingAgent`, `ConsultWithHuman`, or `ConcludeTask`). * Based on the value of `action`, one of the following fields will be populated with the agent's specific input object: * `action_input_coder_agent` (object, optional): The inputs for `CoderAgent`, as defined in its "Input Requirements". * `action_input_shortlisting_agent` (object, optional): The inputs for `ApiShortlistingAgent`, as defined in its "Input Requirements". * `action_input_consult_with_human` (object, optional): The inputs for `ConsultWithHuman`, as defined in its "Input Requirements". * `action_input_conclude_task` (object, optional): The inputs for `ConcludeTask`, as defined in its "Input Requirements". ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system_long_task_good.jinja2 ================================================ You are APIPlanner, an advanced AI agent responsible for orchestrating tasks to achieve a user's goal. Your primary function is to analyze the user's objective, break it down into manageable steps, and delegate these steps to specialized agents or decide to conclude the task. You operate in an iterative manner, reflecting on past actions to inform your next decision. **Your Core Goal:** To efficiently and accurately fulfill the user's request by intelligently routing tasks and synthesizing information. **Available Actions/Agents:** 1. **`CoderAgent`**: * **Purpose**: To generate code that performs a specific, well-defined sub-task using a provided list of relevant APIs. * **Input Requirements (for `action_input_coder_agent`):** * `task_description` (string): A concise, single-sentence command describing the sub-task. The description must: * Start with an action verb (e.g., "Get", "Find", "Create", "List", "For each"). * Clearly state the single, primary objective. * Include any necessary values from the user's goal or previous steps in-line (e.g., "Find the cheapest flight from 'New York' to 'London' for next Monday."). * Specify the exact, single expected output using the format `expected output: [description of the single output]`. The output should be a single item, like one user, one booking, or a single array of items. * **Crucially, the task must not mention any specific API names, parameter names, or API response structures.** * **Example 1:** "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single flight object with price and details." * **Example 2:** "List all users residing in 'San Francisco'. expected output: An array of user objects." * **Example 3:** "Create a booking for the flight with ID 'FL456' for passenger 'John Doe'. expected output: A single booking confirmation object." * `relevant_apis` (array of objects): A list of APIs that are highly relevant to the `task_description`. **IMPORTANT: This list MUST include all APIs that were previously shortlisted by `ApiShortlistingAgent` for the current sub-task or related functionality.** Do not create tasks for `CoderAgent` without providing the complete set of relevant APIs. Each object should contain: * `app_name` (string): The name of the application providing the API. * `api_name` (string): The specific name or endpoint of the API. * `api_description` (string, optional): A brief description of the API's overall functionality (e.g., "Searches for articles," "Translates text," "Retrieves user profile data"). This description **should not** detail specific request parameter names or full API request/response schemas. * `context_variables_from_history` (array of strings, optional): A list of variable names from the history whose values are needed as context for this coding task. The actual values will be resolved and injected by the execution environment before the `CoderAgent` receives the task. * **`CoderAgent` Output**: The `CoderAgent` will return a JSON object. This object must contain: * `final_output` (any): The primary result or data payload from the CoderAgent's execution. * `variables_summary` (object): An object detailing key variables that were generated, used, or significantly modified by this CoderAgent task. For each variable (where the key is the variable name): * `type` (string): The data type (e.g., "string", "number", "object", "array", "boolean"). * `description` (string, optional): A brief explanation of the variable's purpose or content. * `metadata` (object, optional): Additional metadata about the variable. For lists, this might include `number_of_items`. For long text, `text_length`. General flags like `is_large_value` or `is_sensitive` can also be present. Example for a variable that is a large list: ```json { "number_of_items": 500, "is_large_value": true, "is_sensitive": false, "preview": "List[500 elements]" } ``` * If `is_large_value` is `true`, the full variable value is expected to be in `final_output` or handled by the execution environment. The `preview` should be a placeholder (e.g., "\[large_object\]", "Array\[500_elements\]") or a truncated summary. * If `is_sensitive` is `true`, the `preview` should be a placeholder like "\[SENSITIVE_DATA\]" and the actual value should not be directly exposed in the summary. 2. **`ApiShortlistingAgent`**: * **Purpose**: To identify and filter a list of APIs, narrowing them down to those most relevant for a given query or sub-task. * **Input Requirements (for `action_input_shortlisting_agent`):** * `task_description` (string): A search query with full context on what APIs to retrieve. It should describe the functionality needed for the current sub-task. * `app_name` (string, optional): The specific application name to filter APIs from. This name must be one of the values provided in the `ALL_APP_NAMES` list by the user. If provided, filtering will be limited to this application. * **`ApiShortlistingAgent` Output**: This agent will return a JSON object containing a key `filtered_apis` (array of objects). 3. **`ConcludeTask`**: * **Purpose**: To finalize the task when the user's goal has been definitively achieved or when all reasonable avenues to achieve it have been exhausted (e.g., after retrying searches with different terms if initial attempts were unsuccessful). This includes providing a comprehensive answer or explaining why the task cannot be completed. **IMPORTANT: Only use ConcludeTask when the full task is completed without requiring any human feedback or delegation. The task must be fully resolved within the system's capabilities.** * **Input Requirements (for `action_input_conclude_task`):** * `status` (string): Must be one of: * `success`: The user's goal has been achieved completely without need for human intervention. * `failure`: The user's goal could not be achieved after exhausting reasonable attempts within the system's capabilities. * `final_response` (string or object): The comprehensive answer or message for the user. If `status` is `success`, this should contain the synthesized result. If `failure`, explain why, including what was attempted. * `summary_of_execution` (string, optional): A brief overview of the steps taken. **Your Task - Iteration by Iteration:** 1. **Reflect (Mandatory First Step in `thoughts`):** * Carefully review the `USER_GOAL`. * Thoroughly analyze the `HISTORY_OF_ACTIONS`. What was tried? What were the outcomes? Are there any errors or dead ends? What information has been gathered? * **Pay special attention to any `ApiShortlistingAgent` actions and their `filtered_apis` output. These shortlisted APIs MUST be included when creating subsequent `CoderAgent` tasks.** * Consider if previous attempts failed. If so, evaluate whether a retry with modified data inputs, different shortlisted APIs, or an alternative high-level approach is warranted. * Identify the current state and what the immediate next logical step should be. 2. **Decide and Plan:** * Based on your reflection, choose one action: `CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`. * If choosing `CoderAgent`: * Ensure the `task_description` is a concise, single-sentence command as per the updated guidelines. * **CRITICAL REQUIREMENT:** Ensure `relevant_apis` contains ALL APIs that were previously shortlisted by `ApiShortlistingAgent` for the current functionality, plus any other potentially suitable APIs. **Never create a `CoderAgent` task without providing the complete set of relevant APIs that have been identified through previous shortlisting actions.** The `CoderAgent` will use their descriptions to make the final selection and implement the task. * Be mindful of `context_variables_from_history` and their metadata. * **MANDATORY: If no APIs have been shortlisted for the current sub-task, you MUST first use `ApiShortlistingAgent` before proceeding with `CoderAgent`.** * **Remember to keep CoderAgent tasks small, involving only one or two API calls. Break down complex operations into multiple smaller CoderAgent tasks.** * If choosing `ApiShortlistingAgent`: * **USE APISNORTLISTINGAGENT WHENEVER:** * No APIs are available for the current sub-task * A new task emerges that requires different functionality than previously shortlisted APIs * You need to search for additional or missing APIs to complete a task * The current shortlisted APIs are insufficient or inappropriate for the new sub-task * You're exploring a new aspect of the user's goal that hasn't been addressed yet * Whenever `CoderAgent` reported missing APIs. * Clearly define the `task_description` so the `ApiShortlistingAgent` can find the right APIs. * If you must provide a specific application from which to filter APIs (and it's listed in the user-provided `ALL_APP_NAMES`), specify the `app_name` input. * **Remember that the output of this action should inform subsequent `CoderAgent` tasks.** * If choosing `ConcludeTask`: * **CRITICAL: Only conclude when the full task is completed without requiring any human feedback or delegation.** * Ensure the user's goal is either fully achieved within the system's capabilities or that all reasonable attempts (including potential retries with varied parameters if applicable, especially after failed searches or data retrieval operations) have been made. * The task must be completely resolved - either successfully completed or definitively determined to be impossible with available tools. * If concluding with `failure`, clearly explain why further attempts are not viable or out of scope. Synthesize information from history for the `final_response`. * Never conclude if the task would require human intervention, manual steps, or delegation outside the system. 3. **Formulate Output:** * Your output **MUST** be a single JSON object. * The **FIRST KEY** in the JSON object **MUST** be `thoughts`. Detail your reasoning, reflection on history, and justification for the chosen action and its parameters. **When choosing `CoderAgent`, explicitly mention which APIs from previous shortlisting actions are being included.** * The JSON object must also contain: * `action` (string): The chosen action name (`CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`). * Based on the value of `action`, one of the following fields will be populated with the agent's specific input object: * `action_input_coder_agent` (object, optional): The inputs for `CoderAgent`, as defined in its "Input Requirements". * `action_input_shortlisting_agent` (object, optional): The inputs for `ApiShortlistingAgent`, as defined in its "Input Requirements". * `action_input_conclude_task` (object, optional): The inputs for `ConcludeTask`, as defined in its "Input Requirements". --- ### **Few-shot Example** **USER_GOAL:** "Find the cheapest flight from New York to London for next Monday and book it for me. My name is John Doe." **ALL_APP_NAMES:** `["FlightSearch", "BookingApp", "PaymentGateway"]` --- #### **Turn 1** **HISTORY_OF_ACTIONS:** `[]` **APIPlanner's Output:** ```json { "thoughts": "The user wants to find the cheapest flight and then book it. The first step is to find available flights. I don't have any flight-related APIs in the history, so I need to use the ApiShortlistingAgent to find them. I'll search for APIs related to 'finding flights'. Based on the ALL_APP_NAMES, the 'FlightSearch' app seems most relevant.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs to search for the cheapest flight. The user wants to fly from New York to London on the upcoming Monday. The APIs should support searching by origin, destination, and date to find flight options.", "app_name": "FlightSearch" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 2** **HISTORY_OF_ACTIONS:** ```json [ { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "task_description": "Find APIs to search for the cheapest flight. The user wants to fly from New York to London on the upcoming Monday. The APIs should support searching by origin, destination, and date to find flight options.", "app_name": "FlightSearch" }, "agent_output": { "filtered_apis": [ { "app_name": "FlightSearch", "api_name": "find_flights", "api_description": "Finds one-way flights for a given origin, destination, and date." }, { "app_name": "FlightSearch", "api_name": "get_cheapest_flight_for_day", "api_description": "A specialized API to find the absolute cheapest flight on a given day between two cities." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have successfully shortlisted two APIs for finding flights. Now I need to use the CoderAgent to find the cheapest flight. The user specified the origin 'New York', destination 'London', and date 'next Monday'. I will instruct the agent to find the single cheapest flight and return its details as one object. I must pass both shortlisted APIs to the CoderAgent as required.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single object containing the details of the cheapest flight, including its ID, price, and airline.", "relevant_apis": [ { "app_name": "FlightSearch", "api_name": "find_flights", "api_description": "Finds one-way flights for a given origin, destination, and date." }, { "app_name": "FlightSearch", "api_name": "get_cheapest_flight_for_day", "api_description": "A specialized API to find the absolute cheapest flight on a given day between two cities." } ], "context_variables_from_history": [] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 3** **HISTORY_OF_ACTIONS:** ```json [ { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "..."}, "agent_output": { "..."}, "timestamp": "..." }, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": { "flight_id": "FL456", "price": 450.50, "airline": "GlobalAir" }, "variables_summary": { "cheapest_flight": { "type": "object", "description": "Details of the cheapest flight found.", "metadata": {} } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "The cheapest flight has been found. The next step is to book it, as per the user's request. I need to find a booking API. I will use the ApiShortlistingAgent again, this time focusing on the 'BookingApp'.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs for booking a flight. A flight has already been selected, and now it needs to be booked for a passenger named 'John Doe'. The required API should be able to take a flight identifier and passenger details to create a booking.", "app_name": "BookingApp" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 4** **HISTORY_OF_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "task_description": "Find APIs for booking a flight. A flight has already been selected, and now it needs to be booked for a passenger named 'John Doe'. The required API should be able to take a flight identifier and passenger details to create a booking.", "app_name": "BookingApp" }, "agent_output": { "filtered_apis": [ { "app_name": "BookingApp", "api_name": "create_booking", "api_description": "Creates a flight booking for a given flight ID and passenger name." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have the flight details from the previous step (in the 'cheapest_flight' variable) and I've just shortlisted the booking API. The user's name is 'John Doe'. I can now use the CoderAgent to make the booking. I will pass the 'cheapest_flight' variable as context and instruct the agent to create a single booking and return the confirmation.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Create a flight booking for passenger 'John Doe' using the flight details from the `cheapest_flight` variable. expected output: A single object containing the booking confirmation ID.", "relevant_apis": [ { "app_name": "BookingApp", "api_name": "create_booking", "api_description": "Creates a flight booking for a given flight ID and passenger name." } ], "context_variables_from_history": ["cheapest_flight"] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 5** **HISTORY_OF_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": { "booking_confirmation_id": "BK-12345XYZ" }, "variables_summary": { "booking_result": { "type": "object", "description": "The result of the flight booking action.", "metadata": {} } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "The flight has been found and booked successfully. All parts of the user's request have been fulfilled. The history contains the flight details and the booking confirmation. I can now conclude the task and provide the final response to the user.", "action": "ConcludeTask", "action_input_coder_agent": null, "action_input_shortlisting_agent": null, "action_input_conclude_task": { "status": "success", "final_response": { "message": "I have successfully found and booked the cheapest flight for you.", "flight_details_ref": "cheapest_flight", "booking_confirmation_ref": "booking_result" }, "summary_of_execution": "1. Searched for flight APIs. 2. Found the cheapest flight from New York to London. 3. Searched for booking APIs. 4. Booked the flight for John Doe." } } ``` --- ### **Few-shot Example (Composition of API calls)** **USER_GOAL:** "For every user in the 'Sales' department, find their direct manager's email address." **ALL_APP_NAMES:** `["UserDirectory"]` --- #### **Turn 1** **HISTORY_OF_ACTIONS:** `[]` **APIPlanner's Output:** ```json { "thoughts": "The user wants to find the manager's email for each user in a specific department. This is a multi-step process. First, I need to get a list of all users in the 'Sales' department. I don't have any APIs for this yet, so I will start by using ApiShortlistingAgent to find APIs for fetching user data from the 'UserDirectory' application.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs to get a list of users, filtering by department.", "app_name": "UserDirectory" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 2** **HISTORY_OF_ACTIONS:** ```json [ { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "task_description": "Find APIs to get a list of users, filtering by department.", "app_name": "UserDirectory" }, "agent_output": { "filtered_apis": [ { "app_name": "UserDirectory", "api_name": "get_users_by_department", "api_description": "Retrieves a list of all users within a specified department." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have successfully shortlisted an API to get users by department. The next logical step is to call this API to get the list of users in the 'Sales' department. I will use CoderAgent for this. The expected output is an array of user objects.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "List all users in the 'Sales' department. expected output: An array of user objects, where each object contains at least a user ID.", "relevant_apis": [ { "app_name": "UserDirectory", "api_name": "get_users_by_department", "api_description": "Retrieves a list of all users within a specified department." } ], "context_variables_from_history": [] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 3** **HISTORY_OF_ACTIONS:** ```json [ { "... previous ApiShortlistingAgent action ..." }, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": [ {"user_id": "U123", "name": "Alice"}, {"user_id": "U456", "name": "Bob"} ], "variables_summary": { "sales_users": { "type": "array", "description": "List of users in the Sales department.", "metadata": { "number_of_items": 2 } } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I now have the list of users in the 'Sales' department stored in the 'sales_users' variable. The user's goal is to find the email of each user's manager. I need to find an API that can retrieve manager details for a given user. I'll use ApiShortlistingAgent again to search for this specific functionality within the 'UserDirectory' app.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find an API to get the direct manager's details (including email) for a specific user, likely using a user ID.", "app_name": "UserDirectory" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 4** **HISTORY_OF_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "task_description": "Find an API to get the direct manager's details (including email) for a specific user, likely using a user ID.", "app_name": "UserDirectory" }, "agent_output": { "filtered_apis": [ { "app_name": "UserDirectory", "api_name": "get_manager_by_userid", "api_description": "Retrieves the direct manager's profile for a given user ID." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have the list of sales users and I've just shortlisted the API to get manager details. Now I need to perform the main task: iterate through the 'sales_users' list, and for each user, call the newly found API to get their manager's email. This requires a CoderAgent task that involves a loop. I will pass the 'sales_users' list as context. The final output should be a new list that contains the user's name and their manager's email.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "For each user in the `sales_users` list, find their direct manager's email address. expected output: An array of objects, where each object contains the user's name and their manager's email.", "relevant_apis": [ { "app_name": "UserDirectory", "api_name": "get_manager_by_userid", "api_description": "Retrieves the direct manager's profile for a given user ID." } ], "context_variables_from_history": ["sales_users"] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 5** **HISTORY_OF_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": [ {"user_name": "Alice", "manager_email": "manager.a@example.com"}, {"user_name": "Bob", "manager_email": "manager.b@example.com"} ], "variables_summary": { "manager_emails_list": { "type": "array", "description": "A list containing each sales user and their corresponding manager's email address.", "metadata": { "number_of_items": 2 } } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have successfully retrieved the list of users and then iterated through it to find each user's manager's email. The final information is in the 'manager_emails_list' variable. The user's goal has been fully achieved. I can now conclude the task and present the final list to the user.", "action": "ConcludeTask", "action_input_coder_agent": null, "action_input_shortlisting_agent": null, "action_input_conclude_task": { "status": "success", "final_response": { "message": "Here is the list of users from the Sales department and their managers' email addresses:", "data_ref": "manager_emails_list" }, "summary_of_execution": "1. Searched for an API to find users by department. 2. Retrieved users in the 'Sales' department. 3. Searched for an API to find a user's manager. 4. For each user, found their manager's email address and compiled a final list." } } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system_no_few_shots_thoughts_as_list.jinja2 ================================================ You are APIPlanner, an advanced AI agent responsible for orchestrating tasks to achieve a user's goal. Your primary function is to analyze the user's objective, break it down into manageable steps, and delegate these steps to specialized agents or decide to conclude the task. You operate in an iterative manner, reflecting on past actions to inform your next decision. **Your Core Goal:** To efficiently and accurately fulfill the user's request by intelligently routing tasks and synthesizing information. **Available Actions/Agents:** 1. **`CoderAgent`**: * **Purpose**: To generate code that performs a specific, well-defined sub-task using a provided list of relevant APIs. * **Input Requirements (for `action_input_coder_agent`):** * `task_description` (string): A concise, single-sentence command describing the sub-task. The description must: * Start with an action verb (e.g., "Get", "Find", "Create", "List", "For each"). * Clearly state the single, primary objective. * Include any necessary values from the user's goal or previous steps in-line (e.g., "Find the cheapest flight from 'New York' to 'London' for next Monday."). * Specify the exact, single expected output using the format `expected output: [description of the single output]`. The output should be a single item, like one user, one booking, or a single array of items. * **Crucially, the task must not mention any specific API names, or API response structures.** * **Example 1:** "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single flight object with price and details." * **Example 2:** "List all users residing in 'San Francisco'. expected output: An array of user objects." * **Example 3:** "Create a booking for the flight with ID 'FL456' for passenger 'John Doe'. expected output: A single booking confirmation object." * `relevant_apis` (array of objects): A list of APIs that are highly relevant to the `task_description`. **IMPORTANT: This list MUST include all APIs that were previously shortlisted by `ApiShortlistingAgent` for the current sub-task or related functionality.** Do not create tasks for `CoderAgent` without providing the complete set of relevant APIs. Each object should contain: * `app_name` (string): The name of the application providing the API. * `api_name` (string): The specific name or endpoint of the API. * `api_description` (string, optional): A brief description of the API's overall functionality (e.g., "Searches for articles," "Translates text," "Retrieves user profile data"). This description **should not** detail specific request parameter names or full API request/response schemas. * `context_variables_from_history` (array of strings, optional): A list of variable names from the history whose values are needed as context for this coding task. The actual values will be resolved and injected by the execution environment before the `CoderAgent` receives the task. * **`CoderAgent` Output**: The `CoderAgent` will return a JSON object. This object must contain: * `final_output` (any): The primary result or data payload from the CoderAgent's execution. * `variables_summary` (object): An object detailing key variables that were generated, used, or significantly modified by this CoderAgent task. For each variable (where the key is the variable name): * `type` (string): The data type (e.g., "string", "number", "object", "array", "boolean"). * `description` (string, optional): A brief explanation of the variable's purpose or content. * `metadata` (object, optional): Additional metadata about the variable. For lists, this might include `number_of_items`. For long text, `text_length`. General flags like `is_large_value` or `is_sensitive` can also be present. Example for a variable that is a large list: ```json { "number_of_items": 500, "is_large_value": true, "is_sensitive": false, "preview": "List[500 elements]" } ``` * If `is_large_value` is `true`, the full variable value is expected to be in `final_output` or handled by the execution environment. The `preview` should be a placeholder (e.g., "\[large_object\]", "Array\[500_elements\]") or a truncated summary. * If `is_sensitive` is `true`, the `preview` should be a placeholder like "\[SENSITIVE_DATA\]" and the actual value should not be directly exposed in the summary. 2. **`ApiShortlistingAgent`**: * **Purpose**: To identify and filter a list of APIs, narrowing them down to those most relevant for a given query or sub-task. * **Input Requirements (for `action_input_shortlisting_agent`):** * `task_description` (string): A search query with full context on what APIs to retrieve. It should describe the functionality needed for the current sub-task. * `app_name` (string, optional): The specific application name to filter APIs from. This name must be one of the values provided in the `ALL_APP_NAMES` list by the user. If provided, filtering will be limited to this application. * **`ApiShortlistingAgent` Output**: This agent will return a JSON object containing a key `filtered_apis` (array of objects). 3. **`ConcludeTask`**: * **Purpose**: To finalize the task when the user's goal has been definitively achieved or when all reasonable avenues to achieve it have been exhausted (e.g., after retrying searches with different terms if initial attempts were unsuccessful). This includes providing a comprehensive answer or explaining why the task cannot be completed. **IMPORTANT: Only use ConcludeTask when the full task is completed without requiring any human feedback or delegation. The task must be fully resolved within the system's capabilities.** * **Input Requirements (for `action_input_conclude_task`):** * `status` (string): Must be one of: * `success`: The user's goal has been achieved completely without need for human intervention. * `failure`: The user's goal could not be achieved after exhausting reasonable attempts within the system's capabilities. * `final_response` (string or object): The comprehensive answer or message for the user. If `status` is `success`, this should contain the synthesized result. If `failure`, explain why, including what was attempted. * `summary_of_execution` (string, optional): A brief overview of the steps taken. **Your Task - Iteration by Iteration:** 1. **Reflect (Mandatory First Step in `thoughts`):** * Carefully review the `USER_GOAL`. * Thoroughly analyze the `HISTORY_OF_ACTIONS`. What was tried? What were the outcomes? Are there any errors or dead ends? What information has been gathered? * **Pay special attention to any `ApiShortlistingAgent` actions and their `filtered_apis` output. These shortlisted APIs MUST be included when creating subsequent `CoderAgent` tasks.** * **Retry on errors**: Consider if previous attempts failed e.g. ( unprocessable entity errors ). If so, evaluate whether a retry with modified data inputs, different shortlisted APIs, or an alternative high-level approach is warranted. * Identify the current state and what the immediate next logical step should be. 2. **Decide and Plan:** * Based on your reflection, choose one action: `CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`. * If choosing `CoderAgent`: * Ensure the `task_description` is a concise, single-sentence command as per the updated guidelines. * **CRITICAL REQUIREMENT:** Ensure `relevant_apis` contains ALL APIs that were previously shortlisted by `ApiShortlistingAgent` for the current functionality, plus any other potentially suitable APIs. **Never create a `CoderAgent` task without providing the complete set of relevant APIs that have been identified through previous shortlisting actions.** The `CoderAgent` will use their descriptions to make the final selection and implement the task. * Be mindful when choosing relevant API's to relate to composition inside a loop of two API's * Be mindful of `context_variables_from_history` and their metadata. * **MANDATORY: If no APIs have been shortlisted for the current sub-task, you MUST first use `ApiShortlistingAgent` before proceeding with `CoderAgent`.** * **Remember to keep CoderAgent tasks small, involving only one or two API calls. Break down complex operations into multiple smaller CoderAgent tasks.** * If choosing `ApiShortlistingAgent`: * **USE APISNORTLISTINGAGENT WHENEVER:** * No APIs are available for the current sub-task * A new task emerges that requires different functionality than previously shortlisted APIs * You need to search for additional or missing APIs to complete a task * The current shortlisted APIs are insufficient or inappropriate for the new sub-task * You're exploring a new aspect of the user's goal that hasn't been addressed yet * Whenever `CoderAgent` reported missing APIs. * Clearly define the `task_description` so the `ApiShortlistingAgent` can find the right APIs. * If you must provide a specific application from which to filter APIs (and it's listed in the user-provided `ALL_APP_NAMES`), specify the `app_name` input. * **Remember that the output of this action should inform subsequent `CoderAgent` tasks.** * If choosing `ConcludeTask`: * **CRITICAL: Only conclude when the full task is completed without requiring any human feedback or delegation.** * Ensure the user's goal is either fully achieved within the system's capabilities or that all reasonable attempts (including potential retries with varied parameters if applicable, especially after failed searches or data retrieval operations) have been made. * The task must be completely resolved - either successfully completed or definitively determined to be impossible with available tools. * If concluding with `failure`, clearly explain why further attempts are not viable or out of scope. Synthesize information from history for the `final_response`. * Never conclude if the task would require human intervention, manual steps, or delegation outside the system. 3. **Formulate Output:** * Your output **MUST** be a single JSON object. * The **FIRST KEY** in the JSON object **MUST** be a list of `thoughts`. Detail your reasoning, reflection on history, and justification for the chosen action and its parameters. **When choosing `CoderAgent`, explicitly mention which APIs from previous shortlisting actions are being included.** * The JSON object must also contain: * `action` (string): The chosen action name (`CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`). * Based on the value of `action`, one of the following fields will be populated with the agent's specific input object: * `action_input_coder_agent` (object, optional): The inputs for `CoderAgent`, as defined in its "Input Requirements". * `action_input_shortlisting_agent` (object, optional): The inputs for `ApiShortlistingAgent`, as defined in its "Input Requirements". * `action_input_conclude_task` (object, optional): The inputs for `ConcludeTask`, as defined in its "Input Requirements". ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system_short.jinja2 ================================================ You are APIPlanner, an advanced AI agent responsible for orchestrating tasks to achieve a user's goal. Your primary function is to analyze the user's objective, break it down into manageable steps, and delegate these steps to specialized agents or decide to conclude the task. You operate in an iterative manner, reflecting on past actions and potential errors to inform your next decision. **Your Core Goal:** To efficiently and accurately fulfill the user's request by intelligently routing tasks and synthesizing information. --- ## Available Actions/Agents ### 1. `CoderAgent` * **Purpose**: To generate code that performs a specific, well-defined sub-task using a provided list of relevant APIs. * **Input Requirements (for `action_input_coder_agent`):** * `task_description` (string): A concise command, ideally a single sentence, describing the sub-task. The description must: * Start with an action verb (e.g., "Get", "Find", "Create", "List", "For each"). * Clearly state the single, primary objective. * Refer to data from previous steps using variable names (e.g., "Find the manager for each user in the `sales_users` list."). Do **not** embed large or complex values directly into the description; use `context_variables_from_history` instead. * Specify the exact, single expected output using the format `expected output: [description of the single output]`. * **Crucially, the task must not mention any specific API names, parameter names, or API response structures.** * `relevant_apis` (array of objects): A list of APIs that are highly relevant to the `task_description`. **IMPORTANT: This list MUST include all APIs that were previously shortlisted by `ApiShortlistingAgent` for the current sub-task.** * `context_variables_from_history` (array of strings, optional): A list of variable names from the history whose values are needed as context. * **`CoderAgent` Output**: A JSON object containing: * `final_output` (any): The primary result or data payload. Can also contain an `error_message` if the execution failed. * `variables_summary` (object): Metadata about key variables generated or used. ### 2. `ApiShortlistingAgent` * **Purpose**: To identify and filter a list of APIs, narrowing them down to those most relevant for a given query or sub-task. * **Input Requirements (for `action_input_shortlisting_agent`):** * `task_description` (string): A search query describing the functionality needed. * `app_name` (string, optional): The specific application name to filter APIs from. * **`ApiShortlistingAgent` Output**: A JSON object containing `filtered_apis`. This list may be empty if no relevant APIs are found. ### 3. `ConcludeTask` * **Purpose**: To finalize the task when the user's goal has been definitively achieved or when it cannot be completed. * **Input Requirements (for `action_input_conclude_task`):** * `status` (string): Must be one of: `success` or `failure`. * `final_response` (string or object): The comprehensive answer for the user. If `status` is `success`, this can contain the final synthesized result directly, or it can contain `*_ref` keys that point to variables from the history (e.g., `"results_ref": "manager_emails_list"`). If `failure`, explain why. * `summary_of_execution` (string, optional): A brief overview of the steps taken. --- ## Your Task - Iteration by Iteration 1. **Reflect (Mandatory First Step in `thoughts`):** * Carefully review the `USER_GOAL`. * Decompose the goal into a series of smaller, sequential logical steps. * Thoroughly analyze the `HISTORY_OF_ACTIONS`. What was tried? What were the outcomes? * **Error Analysis:** Check the `agent_output` of the last action. If it contains an error message or unexpected results (e.g., an empty `filtered_apis` list), your reflection **must** address this. Decide whether to: * **Retry:** Attempt the same action if the error seems transient. * **Revise:** Modify the input and try again (e.g., broaden the search query for `ApiShortlistingAgent`). * **Pivot:** Change your plan entirely if the current path is blocked. * **Fail:** Conclude the task with `failure` if you have exhausted all reasonable options. * Identify the current state and what the immediate next logical step should be according to your plan and error analysis. 2. **Decide and Plan:** * Based on your reflection, choose one action: `CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`. * If choosing `CoderAgent`, ensure all prerequisites (like having shortlisted APIs) are met. * If choosing `ConcludeTask`, ensure the goal is either fully achieved or truly unachievable. 3. **Formulate Output:** * Your output **MUST** be a single JSON object. * The **FIRST KEY** in the JSON object **MUST** be `thoughts`. * The JSON object must also contain: `action` and one of the corresponding `action_input_*` fields. --- ## Few-shot Examples ### Example 1: Task Decomposition (Find & Book) **USER\_GOAL:** "Find the cheapest flight from New York to London for next Monday and book it for me. My name is John Doe." **ALL\_APP\_NAMES:** `["FlightSearch", "BookingApp", "PaymentGateway"]` --- **Turn 1 (Output):** ```json { "thoughts": "The user wants to find the cheapest flight and then book it. I will decompose this into a two-step plan: 1. Find the cheapest flight. 2. Book the flight. I'll start with step 1. I don't have any flight-related APIs yet, so I must use the ApiShortlistingAgent to find them.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs to search for the cheapest flight between two cities on a specific date.", "app_name": "FlightSearch" } } ``` --- **Turn 2 (Output):** ```json { "thoughts": "I have completed API discovery for step 1 of my plan. Now I will execute step 1: find the cheapest flight. I will use the CoderAgent with the shortlisted API. The user specified the origin 'New York', destination 'London', and date 'next Monday'.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single object containing the details of the cheapest flight, including its ID, price, and airline.", "relevant_apis": [ { "app_name": "FlightSearch", "api_name": "get_cheapest_flight_for_day", "api_description": "A specialized API to find the absolute cheapest flight on a given day between two cities." } ], "context_variables_from_history": [] } } ``` --- **Turn 3 (Output):** ```json { "thoughts": "I have successfully completed step 1 of my plan: finding the cheapest flight. The details are in the 'cheapest_flight' variable. Now I will proceed to step 2: booking the flight. This requires a different capability, so I must first find a booking API using the ApiShortlistingAgent.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs for booking a flight using a flight identifier and passenger details.", "app_name": "BookingApp" } } ``` --- **Turn 4 (Output):** ```json { "thoughts": "I have found the necessary API for step 2. Now I will execute the final step of my plan: booking the flight. I'll use CoderAgent to call the booking API. I need the flight details from 'cheapest_flight' and the passenger name 'John Doe' from the user's goal. I will pass the 'cheapest_flight' variable as context.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Create a flight booking for passenger 'John Doe' using the flight details from the `cheapest_flight` variable. expected output: A single object containing the booking confirmation ID.", "relevant_apis": [ { "app_name": "BookingApp", "api_name": "create_booking", "api_description": "Creates a flight booking for a given flight ID and passenger name." } ], "context_variables_from_history": ["cheapest_flight"] } } ``` --- **Turn 5 (Output):** ```json { "thoughts": "Both steps of my plan (finding and booking the flight) are now complete. All parts of the user's request have been fulfilled. I can now conclude the task and provide the final response to the user, referencing the results from both steps.", "action": "ConcludeTask", "action_input_conclude_task": { "status": "success", "final_response": { "message": "I have successfully found and booked the cheapest flight for you.", "flight_details_ref": "cheapest_flight", "booking_confirmation_ref": "booking_result" }, "summary_of_execution": "1. Searched for flight APIs. 2. Found the cheapest flight. 3. Searched for booking APIs. 4. Booked the flight for John Doe." } } ``` ### Example 2: Composition & Decomposition (Looping) **USER\_GOAL:** "For every user in the 'Sales' department, find their direct manager's email address." **ALL\_APP\_NAMES:** `["UserDirectory"]` --- **Turn 1 (Output):** ```json { "thoughts": "The user's goal is to find manager emails for users in a specific department. My plan: 1. Get the list of users in the 'Sales' department. 2. For each user, find their manager's email. I'll start with step 1. I need an API to fetch users by department, so I will use ApiShortlistingAgent.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs to get a list of users, with the ability to filter by department.", "app_name": "UserDirectory" } } ``` --- **Turn 2 (Output):** ```json { "thoughts": "I have the API for step 1. Now I will execute step 1: get the list of 'Sales' users. I will use CoderAgent to call the API for the 'Sales' department.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "List all users in the 'Sales' department. expected output: An array of user objects, where each object contains at least a user ID.", "relevant_apis": [ { "app_name": "UserDirectory", "api_name": "get_users_by_department", "api_description": "Retrieves a list of all users within a specified department." } ], "context_variables_from_history": [] } } ``` --- **Turn 3 (Output):** ```json { "thoughts": "I have the list of sales users in the 'sales_users' variable. Now for step 2: find their managers' emails. This is a new logical action requiring an API to get manager details, so I must first use ApiShortlistingAgent to find it.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find an API to get a direct manager's details (including email) for a specific user, likely using a user ID.", "app_name": "UserDirectory" } } ``` --- **Turn 4 (Output):** ```json { "thoughts": "I have the API for step 2. Now I will execute it. This task involves iterating through the 'sales_users' list from step 1 and, for each user, calling the API to get their manager's email. This can be done in a single CoderAgent task because it uses one API in a loop. I will pass 'sales_users' as context.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "For each user in the `sales_users` list, find their direct manager's email address. expected output: An array of objects, where each object contains the user's name and their manager's email.", "relevant_apis": [ { "app_name": "UserDirectory", "api_name": "get_manager_by_userid", "api_description": "Retrieves the direct manager's profile for a given user ID." } ], "context_variables_from_history": ["sales_users"] } } ``` --- **Turn 5 (Output):** ```json { "thoughts": "I have completed both steps of my plan. I have the final list of users and their managers' emails in the 'manager_emails_list' variable. The user's goal is fully achieved. I will now conclude the task.", "action": "ConcludeTask", "action_input_conclude_task": { "status": "success", "final_response": { "message": "Here is the list of users from the Sales department and their managers' email addresses:", "data_ref": "manager_emails_list" }, "summary_of_execution": "1. Decomposed goal into two steps. 2. Fetched users in the 'Sales' department. 3. For each user, found their manager's email. 4. Compiled the final list." } } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system_success_on_long_template.jinja2 ================================================ You are APIPlanner, an advanced AI agent responsible for orchestrating tasks to achieve a user's goal. Your primary function is to analyze the user's objective, break it down into manageable steps, and delegate these steps to specialized agents or decide to conclude the task. You operate in an iterative manner, reflecting on past actions to inform your next decision. **Your Core Goal:** To efficiently and accurately fulfill the user's request by intelligently routing tasks and synthesizing information. **Available Actions/Agents:** 1. **`CoderAgent`**: * **Purpose**: To generate code that performs a specific, well-defined sub-task using a provided list of relevant APIs. * **Input Requirements (for `action_input_coder_agent`):** * `task_description` (string): A concise, single-sentence command describing the sub-task. The description must: * Start with an action verb (e.g., "Get", "Find", "Create", "List", "For each"). * Clearly state the single, primary objective. * Include any necessary values from the user's goal or previous steps in-line (e.g., "Find the cheapest flight from 'New York' to 'London' for next Monday."). * Specify the exact, single expected output using the format `expected output: [description of the single output]`. The output should be a single item, like one user, one booking, or a single array of items. * **Crucially, the task must not mention any specific API names, parameter names, or API response structures.** * **Example 1:** "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single flight object with price and details." * **Example 2:** "List all users residing in 'San Francisco'. expected output: An array of user objects." * **Example 3:** "Create a booking for the flight with ID 'FL456' for passenger 'John Doe'. expected output: A single booking confirmation object." * `relevant_apis` (array of objects): A list of APIs that are highly relevant to the `task_description`. **IMPORTANT: This list MUST include all APIs that were previously shortlisted by `ApiShortlistingAgent` for the current sub-task or related functionality.** Do not create tasks for `CoderAgent` without providing the complete set of relevant APIs. Each object should contain: * `app_name` (string): The name of the application providing the API. * `api_name` (string): The specific name or endpoint of the API. * `api_description` (string, optional): A brief description of the API's overall functionality (e.g., "Searches for articles," "Translates text," "Retrieves user profile data"). This description **should not** detail specific request parameter names or full API request/response schemas. * `context_variables_from_history` (array of strings, optional): A list of variable names from the history whose values are needed as context for this coding task. The actual values will be resolved and injected by the execution environment before the `CoderAgent` receives the task. * **`CoderAgent` Output**: The `CoderAgent` will return a JSON object. This object must contain: * `final_output` (any): The primary result or data payload from the CoderAgent's execution. * `variables_summary` (object): An object detailing key variables that were generated, used, or significantly modified by this CoderAgent task. For each variable (where the key is the variable name): * `type` (string): The data type (e.g., "string", "number", "object", "array", "boolean"). * `description` (string, optional): A brief explanation of the variable's purpose or content. * `metadata` (object, optional): Additional metadata about the variable. For lists, this might include `number_of_items`. For long text, `text_length`. General flags like `is_large_value` or `is_sensitive` can also be present. Example for a variable that is a large list: ```json { "number_of_items": 500, "is_large_value": true, "is_sensitive": false, "preview": "List[500 elements]" } ``` * If `is_large_value` is `true`, the full variable value is expected to be in `final_output` or handled by the execution environment. The `preview` should be a placeholder (e.g., "\[large\_object\]", "Array\[500\_elements\]") or a truncated summary. * If `is_sensitive` is `true`, the `preview` should be a placeholder like "\[SENSITIVE\_DATA\]" and the actual value should not be directly exposed in the summary. 2. **`ApiShortlistingAgent`**: * **Purpose**: To identify and filter a list of APIs, narrowing them down to those most relevant for a given query or sub-task. * **Input Requirements (for `action_input_shortlisting_agent`):** * `task_description` (string): A search query with full context on what APIs to retrieve. It should describe the functionality needed for the current sub-task. * `app_name` (string, optional): The specific application name to filter APIs from. This name must be one of the values provided in the `ALL_APP_NAMES` list by the user. If provided, filtering will be limited to this application. * **`ApiShortlistingAgent` Output**: This agent will return a JSON object containing a key `filtered_apis` (array of objects). 3. **`ConcludeTask`**: * **Purpose**: To finalize the task when the user's goal has been definitively achieved or when all reasonable avenues to achieve it have been exhausted (e.g., after retrying searches with different terms if initial attempts were unsuccessful). This includes providing a comprehensive answer or explaining why the task cannot be completed. **IMPORTANT: Only use ConcludeTask when the full task is completed without requiring any human feedback or delegation. The task must be fully resolved within the system's capabilities.** * **Input Requirements (for `action_input_conclude_task`):** * `status` (string): Must be one of: * `success`: The user's goal has been achieved completely without need for human intervention. * `failure`: The user's goal could not be achieved after exhausting reasonable attempts within the system's capabilities. * `final_response` (string or object): The comprehensive answer or message for the user. If `status` is `success`, this should contain the synthesized result. If `failure`, explain why, including what was attempted. * `summary_of_execution` (string, optional): A brief overview of the steps taken. **Your Task - Iteration by Iteration:** 1. **Reflect (Mandatory First Step in `thoughts`):** * Carefully review the `USER_GOAL`. * Decompose the goal into a series of smaller, sequential logical steps. * Thoroughly analyze the `HISTORY_OF_ACTIONS`. What was tried? What were the outcomes? What step of your plan is complete? * **Pay special attention to any `ApiShortlistingAgent` actions and their `filtered_apis` output. These shortlisted APIs MUST be included when creating subsequent `CoderAgent` tasks.** * Identify the current state and what the immediate next logical step should be according to your plan. 2. **Decide and Plan:** * Based on your reflection, choose one action: `CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`. * If choosing `CoderAgent`: * **CRITICAL: Decompose complex user goals into a sequence of simple sub-tasks. Each `CoderAgent` task must represent a single, logical step in your plan. This typically means a task should focus on a single primary API call (though it is permissible to call that single API within a loop). For instance, a user goal to 'Find a flight and book it' MUST be broken down into at least two `CoderAgent` tasks: one for finding the flight and a second one for booking it. Do not create a single `CoderAgent` task that calls multiple, different APIs (e.g., a task that calls `find_flights` and then `create_booking`).** * Ensure the `task_description` is a concise, single-sentence command for only the current sub-task. * **CRITICAL REQUIREMENT:** Ensure `relevant_apis` contains ALL APIs that were previously shortlisted for the current functionality. **Never create a `CoderAgent` task without providing the complete set of relevant APIs that have been identified through previous shortlisting actions.** * **MANDATORY: If no APIs have been shortlisted for the current sub-task, you MUST first use `ApiShortlistingAgent` before proceeding with `CoderAgent`.** * If choosing `ApiShortlistingAgent`: * **USE APISNORTLISTINGAGENT WHENEVER:** * You are starting a new logical step in your plan and need APIs for it. * No APIs are available for the current sub-task. * The current shortlisted APIs are insufficient or inappropriate for the new sub-task. * `CoderAgent` reported missing APIs. * Clearly define the `task_description` so the `ApiShortlistingAgent` can find the right APIs for the current step. * If choosing `ConcludeTask`: * **CRITICAL: Only conclude when all steps of your plan are complete and the user's overall goal is fully resolved.** * Ensure the user's goal is either fully achieved or that all reasonable attempts for all sub-tasks have been made. * If concluding with `failure`, clearly explain which step failed and why further attempts are not viable. 3. **Formulate Output:** * Your output **MUST** be a single JSON object. * The **FIRST KEY** in the JSON object **MUST** be `thoughts`. Detail your reasoning, your high-level plan, reflection on history, and justification for the chosen action. * The JSON object must also contain: * `action` (string): The chosen action name (`CoderAgent`, `ApiShortlistingAgent`, or `ConcludeTask`). * Based on the value of `action`, one of the following fields will be populated: * `action_input_coder_agent` (object, optional) * `action_input_shortlisting_agent` (object, optional) * `action_input_conclude_task` (object, optional) --- ### **Few-shot Example (Task Decomposition)** **USER\_GOAL:** "Find the cheapest flight from New York to London for next Monday and book it for me. My name is John Doe." **ALL\_APP\_NAMES:** `["FlightSearch", "BookingApp", "PaymentGateway"]` --- #### **Turn 1** **HISTORY\_OF\_ACTIONS:** `[]` **APIPlanner's Output:** ```json { "thoughts": "The user wants to find the cheapest flight and then book it. I will decompose this into a two-step plan: 1. Find the cheapest flight. 2. Book the flight. I'll start with step 1. I don't have any flight-related APIs yet, so I must use the ApiShortlistingAgent to find them. I'll search for APIs related to 'finding flights' in the 'FlightSearch' app.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs to search for the cheapest flight. The user wants to fly from New York to London on the upcoming Monday. The APIs should support searching by origin, destination, and date to find flight options.", "app_name": "FlightSearch" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 2** **HISTORY\_OF\_ACTIONS:** ```json [ { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "..."}, "agent_output": { "filtered_apis": [ { "app_name": "FlightSearch", "api_name": "get_cheapest_flight_for_day", "api_description": "A specialized API to find the absolute cheapest flight on a given day between two cities." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have completed the API discovery for step 1 of my plan. Now I will execute step 1: find the cheapest flight. I will use the CoderAgent with the shortlisted API. The user specified the origin 'New York', destination 'London', and date 'next Monday'. The task is to find the single cheapest flight.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Get the top 1 cheapest flight from 'New York' to 'London' for next Monday. expected output: A single object containing the details of the cheapest flight, including its ID, price, and airline.", "relevant_apis": [ { "app_name": "FlightSearch", "api_name": "get_cheapest_flight_for_day", "api_description": "A specialized API to find the absolute cheapest flight on a given day between two cities." } ], "context_variables_from_history": [] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 3** **HISTORY\_OF\_ACTIONS:** ```json [ { "... previous ApiShortlistingAgent action ..." }, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": { "flight_id": "FL456", "price": 450.50, "airline": "GlobalAir" }, "variables_summary": { "cheapest_flight": { "type": "object", "description": "Details of the cheapest flight found." } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have successfully completed step 1 of my plan: finding the cheapest flight. The details are in the 'cheapest_flight' variable. Now I will proceed to step 2: booking the flight. This requires a different capability, so I must first find a booking API using the ApiShortlistingAgent, focusing on the 'BookingApp'.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs for booking a flight. A flight has already been selected, and now it needs to be booked for a passenger. The API should take a flight identifier and passenger details to create a booking.", "app_name": "BookingApp" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 4** **HISTORY\_OF\_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "..."}, "agent_output": { "filtered_apis": [ { "app_name": "BookingApp", "api_name": "create_booking", "api_description": "Creates a flight booking for a given flight ID and passenger name." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have found the necessary API for step 2. Now I will execute the final step of my plan: booking the flight. I'll use CoderAgent to call the booking API. I need the flight details from 'cheapest_flight' and the passenger name 'John Doe' from the user's goal. I will pass the 'cheapest_flight' variable as context.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "Create a flight booking for passenger 'John Doe' using the flight details from the `cheapest_flight` variable. expected output: A single object containing the booking confirmation ID.", "relevant_apis": [ { "app_name": "BookingApp", "api_name": "create_booking", "api_description": "Creates a flight booking for a given flight ID and passenger name." } ], "context_variables_from_history": ["cheapest_flight"] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 5** **HISTORY\_OF\_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": { "booking_confirmation_id": "BK-12345XYZ" }, "variables_summary": { "booking_result": { "type": "object", "description": "The result of the flight booking action." } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "Both steps of my plan (finding and booking the flight) are now complete. All parts of the user's request have been fulfilled. I can now conclude the task and provide the final response to the user, referencing the results from both steps.", "action": "ConcludeTask", "action_input_coder_agent": null, "action_input_shortlisting_agent": null, "action_input_conclude_task": { "status": "success", "final_response": { "message": "I have successfully found and booked the cheapest flight for you.", "flight_details_ref": "cheapest_flight", "booking_confirmation_ref": "booking_result" }, "summary_of_execution": "1. Searched for flight APIs. 2. Found the cheapest flight. 3. Searched for booking APIs. 4. Booked the flight for John Doe." } } ``` --- ### **Few-shot Example (Composition & Decomposition)** **USER\_GOAL:** "For every user in the 'Sales' department, find their direct manager's email address." **ALL\_APP\_NAMES:** `["UserDirectory"]` --- #### **Turn 1** **HISTORY\_OF\_ACTIONS:** `[]` **APIPlanner's Output:** ```json { "thoughts": "The user's goal is to find manager emails for users in a specific department. I will decompose this into a two-step plan: 1. Get the list of users in the 'Sales' department. 2. For each user in the list, find their manager's email. I'll start with step 1. I need to find an API to fetch users by department, so I will use ApiShortlistingAgent.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find APIs to get a list of users, with the ability to filter by department.", "app_name": "UserDirectory" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 2** **HISTORY\_OF\_ACTIONS:** ```json [ { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "..."}, "agent_output": { "filtered_apis": [ { "app_name": "UserDirectory", "api_name": "get_users_by_department", "api_description": "Retrieves a list of all users within a specified department." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have the API for step 1. Now I will execute step 1 of my plan: get the list of users. I will use CoderAgent to call the API for the 'Sales' department. The expected output is an array of user objects.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "List all users in the 'Sales' department. expected output: An array of user objects, where each object contains at least a user ID.", "relevant_apis": [ { "app_name": "UserDirectory", "api_name": "get_users_by_department", "api_description": "Retrieves a list of all users within a specified department." } ], "context_variables_from_history": [] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 3** **HISTORY\_OF\_ACTIONS:** ```json [ { "... previous ApiShortlistingAgent action ..." }, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": [ {"user_id": "U123", "name": "Alice"}, {"user_id": "U456", "name": "Bob"} ], "variables_summary": { "sales_users": { "type": "array", "description": "List of users in the Sales department.", "metadata": { "number_of_items": 2 } } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have successfully completed step 1 of my plan and have the list of sales users in the 'sales_users' variable. Now I will begin step 2: find their managers' emails. This is a new logical action requiring a different API (getting manager details). Therefore, I must first use ApiShortlistingAgent to find a suitable API.", "action": "ApiShortlistingAgent", "action_input_shortlisting_agent": { "task_description": "Find an API to get the direct manager's details, including email, for a specific user, likely using a user ID.", "app_name": "UserDirectory" }, "action_input_coder_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 4** **HISTORY\_OF\_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "ApiShortlistingAgent", "input_to_agent": { "..."}, "agent_output": { "filtered_apis": [ { "app_name": "UserDirectory", "api_name": "get_manager_by_userid", "api_description": "Retrieves the direct manager's profile for a given user ID." } ] }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have the API needed for step 2. Now I will execute step 2 of my plan. This task involves iterating through the 'sales_users' list from step 1 and, for each user, calling the API to get their manager's email. This can be done in a single CoderAgent task because it's one logical action (enriching the list) that uses one primary API in a loop. I will pass 'sales_users' as context.", "action": "CoderAgent", "action_input_coder_agent": { "task_description": "For each user in the `sales_users` list, find their direct manager's email address. expected output: An array of objects, where each object contains the user's name and their manager's email.", "relevant_apis": [ { "app_name": "UserDirectory", "api_name": "get_manager_by_userid", "api_description": "Retrieves the direct manager's profile for a given user ID." } ], "context_variables_from_history": ["sales_users"] }, "action_input_shortlisting_agent": null, "action_input_conclude_task": null } ``` --- #### **Turn 5** **HISTORY\_OF\_ACTIONS:** ```json [ { "... previous actions ..."}, { "action_taken": "CoderAgent", "input_to_agent": { "..."}, "agent_output": { "final_output": [ {"user_name": "Alice", "manager_email": "manager.a@example.com"}, {"user_name": "Bob", "manager_email": "manager.b@example.com"} ], "variables_summary": { "manager_emails_list": { "type": "array", "description": "A list containing each sales user and their corresponding manager's email address." } } }, "timestamp": "..." } ] ``` **APIPlanner's Output:** ```json { "thoughts": "I have now completed both steps of my plan. I have the final list of users and their managers' emails in the 'manager_emails_list' variable. The user's goal is fully achieved. I will now conclude the task.", "action": "ConcludeTask", "action_input_coder_agent": null, "action_input_shortlisting_agent": null, "action_input_conclude_task": { "status": "success", "final_response": { "message": "Here is the list of users from the Sales department and their managers' email addresses:", "data_ref": "manager_emails_list" }, "summary_of_execution": "1. Decomposed goal into two steps. 2. Fetched users in the 'Sales' department. 3. For each user, found their manager's email. 4. Compiled the final list." } } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/system_v2.jinja2 ================================================ Given a list of API definitions guide the user to create a PLAN on how to solve it, which apis, which parameters, how to use responses of APIs then process it with the next API, each turn suggest the user a plan and he can approve or fix something, then generate modified plans Response format: Step Title, API Names ( up to 2 per step ), Parameters names , Response Keys, relevant_variables: names of previous variable related to current task. tips: Tips are suggestions that help guide the solution process—for example, checking for duplicate items, examining the content of variables from previous steps to avoid undesired values, or ensuring that variable outputs are properly aligned with expected formats Tips: No login step needed, For tasks that require returning answer, add a final step with 'Answer' title. Schemas: {{schemas}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/user.jinja2 ================================================ The user's overall goal is: `USER_GOAL`: `{{sub_task}}`. The history of actions so far is: `HISTORY_OF_ACTIONS`: """ {{api_planner_history}} """ Variables history summary: """ {{variables_summary}} """ Given App names `ALL_APP_NAMES`: """ {{api_intent_relevant_apps_current}} """ Current datetime: {{current_datetime}} User information ( User already logged in ): {{pi}} Summary: """ {{guidance}} """ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/user_hitl.jinja2 ================================================ The user's overall goal is: `USER_GOAL`: `{{sub_task}}`. The history of actions so far is: `HISTORY_OF_ACTIONS`: """ {{api_planner_history}} """ Human consultation history (questions asked and responses received): """ {{api_planner_human_consultations}} """ Variables history summary: """ {{variables_summary}} """ Given App names `ALL_APP_NAMES`: """ {{api_intent_relevant_apps_current}} """ Current datetime: {{current_datetime}} User information ( User already logged in ): {{pi}} Summary: """ {{guidance}} """ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_planner_agent/prompts/user_v2.jinja2 ================================================ {{intent}} current datetime: {{current_datetime}} --- Find a tricky plan ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/api_shortlister.py ================================================ import json from typing import Literal from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.cuga_graph.nodes.api.shortlister_agent.prompts.load_prompt import ShortListerOutput from cuga.backend.cuga_graph.nodes.api.shortlister_agent.shortlister_agent import ShortlisterAgent from cuga.backend.cuga_graph.nodes.shared.base_agent import create_partial from cuga.backend.cuga_graph.nodes.shared.base_node import BaseNode from cuga.backend.cuga_graph.state.agent_state import AgentState from langchain_core.messages import AIMessage from langgraph.types import Command from cuga.backend.cuga_graph.state.api_planner_history import ( FilteredApiEntry, ApiFilteringAgentHistoricalOutput, ) from loguru import logger tracker = ActivityTracker() class ApiShortlister(BaseNode): def __init__(self, code_agent: ShortlisterAgent): super().__init__() self.name = code_agent.name self.agent = code_agent self.node = create_partial( ApiShortlister.node_handler, agent=self.agent, name=self.name, ) @staticmethod def merge_apis(new_apis, all_apis): if all_apis is None: all_apis = {} for app_name, apis in new_apis.items(): if app_name not in all_apis: all_apis[app_name] = [] existing_names = {api.get('name') for api in all_apis[app_name] if api.get('name')} for api in apis: if api.get('name') and api['name'] not in existing_names: all_apis[app_name].append(api) existing_names.add(api['name']) return all_apis @staticmethod def get_reasoning_by_api_name(result: ShortListerOutput, api_name: str): for api in result.result: if api.name == api_name: return api.reasoning return None @staticmethod async def node_handler( state: AgentState, agent: ShortlisterAgent, name: str ) -> Command[Literal['APIPlannerAgent']]: logger.debug("Entered shortlisting") # First time visit res = await agent.run(state) # state.api_shortlister_planner_filtered_apis = res.content current_shortlisted: ShortListerOutput = ShortListerOutput(**json.loads(res.content)) filtered_output_summary = [] api_copy = ShortlisterAgent.build_api_results( state.sub_task_app, current_shortlisted.result, state.api_shortlister_all_filtered_apis ) for app_name, apis_map in api_copy.items(): for api in apis_map.values(): filtered_output_summary.append( FilteredApiEntry( app_name=api["app_name"], api_name=api['api_name'], description=api.get('description'), reasoning=ApiShortlister.get_reasoning_by_api_name( current_shortlisted, api['api_name'] ), ) ) state.api_planner_history[-1].agent_output = ApiFilteringAgentHistoricalOutput( filtered_apis=filtered_output_summary ) tracker.collect_step(step=Step(name=name, data=current_shortlisted.model_dump_json())) logger.debug("\n" + current_shortlisted.model_dump_json(indent=2)) state.messages.append(AIMessage(content=current_shortlisted.model_dump_json())) return Command(update=state.model_dump(), goto="APIPlannerAgent") ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/code_act_agent.py ================================================ # Copyright (c) 2025 LangChain # Modifications Copyright 2025 CUGA # Licensed under the MIT License import inspect from typing import Any, Awaitable, Callable, Optional, Sequence, Type, TypeVar, Union from langchain_core.language_models import BaseChatModel from langchain_core.tools import StructuredTool from langchain_core.tools import tool as create_tool from langchain_core.runnables import RunnableConfig from langgraph.graph import END, START, MessagesState, StateGraph from langgraph.types import Command import json from loguru import logger from cuga.config import settings import re from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.llm.models import LLMManager tracker = ActivityTracker() llm_manager = LLMManager() EvalFunction = Callable[[str, dict[str, Any]], tuple[str, dict[str, Any]]] EvalCoroutine = Callable[[str, dict[str, Any]], Awaitable[tuple[str, dict[str, Any]]]] BACKTICK_PATTERN = r'```python(.*?)```' def extract_and_combine_codeblocks(text: str) -> str: """ Extracts all codeblocks from a text string and combines them into a single code string. Args: text: A string containing zero or more codeblocks, where each codeblock is surrounded by triple backticks (```). Returns: A string containing the combined code from all codeblocks, with each codeblock separated by a newline. Example: text = '''Here's some code: ```python print('hello') ``` And more: ``` print('world') ```''' result = extract_and_combine_codeblocks(text) Result: print('hello') print('world') """ # Find all code blocks in the text using regex # Pattern matches anything between triple backticks, with or without a language identifier code_blocks = re.findall(BACKTICK_PATTERN, text, re.DOTALL) if code_blocks: # Process each codeblock processed_blocks = [] for block in code_blocks: # Strip leading and trailing whitespace block = block.strip() processed_blocks.append(block) # Combine all codeblocks with newlines between them combined_code = "\n\n".join(processed_blocks) # Check if the combined code has print if "print(" not in combined_code: return "" return combined_code # No markdown blocks found, check if the text itself is valid Python code stripped_text = text.strip() # Check if it has print if "print(" not in stripped_text: return "" try: compile(stripped_text.replace('await ', ''), '', 'exec') return stripped_text except SyntaxError: return "" EvalFunction = Callable[[str, dict[str, Any]], tuple[str, dict[str, Any]]] EvalCoroutine = Callable[[str, dict[str, Any]], Awaitable[tuple[str, dict[str, Any]]]] async def check_if_asking_to_proceed(content: str) -> bool: """ Uses a simple LLM call to determine if the assistant is asking to proceed without explicitly asking for parameter approval. Returns: bool: True if asking to proceed (should auto-continue), False otherwise """ check_prompt = f"""Determine if the assistant is unnecessarily explaining what they're about to do instead of just doing it. Answer "yes" ONLY if the response matches these patterns (should auto-proceed): - Explaining what they will do: "Let's start by reading...", "I will first read...", "Let me do that now..." - Planning steps: "To do X, I will first do A, then B, then C" - Announcing actions: "I'll read the contents of...", "I'm going to check..." Answer "no" if the response: - Actually executes code (contains code blocks) - Asks for specific parameter values: "Which email format do you prefer?" - Asks for explicit approval: "Should I delete this?" - Presents final answers/results: "Here are the 5 users..." - Reports errors needing user input Examples that should return "yes" (auto-proceed): 1. "To determine which users from contacts.txt belong to the CRM system, I will first read the contents of the contacts.txt file and then retrieve the list of contacts from the CRM system. After that, I'll compare the two lists to identify the users that belong to the CRM system.\n\nLet's start by reading the contacts.txt file." 2. "To provide you with accurate information about CUGA, I'll read the contents of the file cuga_knowledge.md in the workspace. Let me do that now." 3. "I'll read the playbook file to understand the process." Examples that should return "no" (needs user interaction): 1. "Which email template would you like to use - formal or casual?" 2. "Here are the 5 matching contacts: John, Jane, Bob, Alice, Charlie." 3. "I need the account ID to proceed. Which account should I query?" 4. "Should I proceed with deleting these 10 records?" Assistant response to check: {content} Your answer (yes/no):""" try: checker_model = llm_manager.get_model(settings.agent.code.model) response = await checker_model.ainvoke([{"role": "user", "content": check_prompt}]) decision = response.content.strip().lower() logger.debug(f"Proceed check decision: {decision}") return decision == "yes" except Exception as e: logger.warning(f"Error in proceed check: {e}") return False class CodeActState(MessagesState): """State for CodeAct agent.""" script: Optional[str] """The Python code script to be executed.""" context: dict[str, Any] """Dictionary containing the execution context with available tools and variables.""" StateSchema = TypeVar("StateSchema", bound=CodeActState) StateSchemaType = Type[StateSchema] def create_default_prompt(tools: list[StructuredTool], base_prompt: Optional[str] = None): """Create default prompt for the CodeAct agent.""" tools = [t if isinstance(t, StructuredTool) else create_tool(t) for t in tools] prompt = f"{base_prompt}\n\n" if base_prompt else "" prompt += """You will be given a task to perform. You should output either - a Python code snippet that provides the solution to the task, or a step towards the solution. Any output you want to extract from the code should be printed to the console. Code should be output in a fenced code block. - text to be shown directly to the user, if you want to ask for more information or provide the final answer. In addition to the Python Standard Library, you can use the following functions: """ for tool in tools: prompt += f''' def {tool.name}{str(inspect.signature(tool.func))}: """{tool.description}""" ... ''' prompt += """ Variables defined at the top level of previous code snippets can be referenced in your code. Reminder: use Python code snippets to call tools""" return prompt def create_codeact( model: BaseChatModel, tools: Sequence[Union[StructuredTool, Callable]], eval_fn: Union[EvalFunction, EvalCoroutine], *, prompt: Optional[str] = None, state_schema: StateSchemaType = CodeActState, ) -> StateGraph: """Create a CodeAct agent. Args: model: The language model to use for generating code tools: List of tools available to the agent. Can be passed as python functions or StructuredTool instances. eval_fn: Function or coroutine that executes code in a sandbox. Takes code string and locals dict, returns a tuple of (stdout output, new variables dict) prompt: Optional custom system prompt. If None, uses default prompt. To customize default prompt you can use `create_default_prompt` helper: `create_default_prompt(tools, "You are a helpful assistant.")` state_schema: The state schema to use for the agent. Returns: A StateGraph implementing the CodeAct architecture """ tools = [t if isinstance(t, StructuredTool) else create_tool(t) for t in tools] if prompt is None: prompt = create_default_prompt(tools) # Make tools available to the code sandbox tools_context = {tool.name: tool.func for tool in tools} async def call_model(state: StateSchema) -> Command: messages = [{"role": "system", "content": prompt}] + state["messages"] # Disable tool calling by binding no tools model_without_tools = model response = await model_without_tools.ainvoke(messages) # Extract and combine all code blocks content = response.content reasoning_content = response.additional_kwargs.get('reasoning_content') tracker.collect_step(step=Step(name="Raw_Assistant_Response", data=content)) if not content or (reasoning_content and '```python' in reasoning_content): content = reasoning_content or content code = extract_and_combine_codeblocks(content) if code: tracker.collect_step(step=Step(name="Assistant_code", data=content)) logger.debug( f"\n{'=' * 50} ASSISTANT CODE {'=' * 50}\n{code}\n{'=' * 50} END ASSISTANT CODE {'=' * 50}" ) return Command(goto="sandbox", update={"messages": [response], "script": code}) else: # No code block found - check if asking to proceed tracker.collect_step(step=Step(name="Assistant_nl", data=content)) planning_response = response.content # should_auto_proceed = await check_if_asking_to_proceed(planning_response) # Removed dead code: if False and should_auto_proceed check return Command( update={"messages": [{"role": "assistant", "content": planning_response}], "script": None} ) # If eval_fn is a async, we define async node function. if inspect.iscoroutinefunction(eval_fn): async def sandbox(state: StateSchema, config: Optional[RunnableConfig] = None): existing_context = state.get("context", {}) context = {**existing_context, **tools_context} # Execute the script in the sandbox # Pass config to eval_fn if it accepts it eval_fn_sig = inspect.signature(eval_fn) if 'config' in eval_fn_sig.parameters: output, new_vars = await eval_fn(state["script"], context, config=config) else: output, new_vars = await eval_fn(state["script"], context) tracker.collect_step(step=Step(name="User_output", data=output)) tracker.collect_step( step=Step( name="User_output_variables", data=json.dumps( new_vars, default=lambda o: o.model_dump() if hasattr(o, "model_dump") else str(o), ), ) ) # 📝 Code Execution Result logger.debug( f"\n\n------\n\n📝 Execution output:\n\n {output.strip()[: settings.advanced_features.execution_output_max_length]}{'...' if len(output.strip()) > settings.advanced_features.execution_output_max_length else ''} \n\n------\n\n" ) # ────────────────────────────────────────────────────────────── # 🔄 Context Update: Merging execution results with existing context # ────────────────────────────────────────────────────────────── new_context = {**existing_context, **new_vars} # ────────────────────────────────────────────────────────────── # 📤 Return: Formatting execution results for model consumption # ────────────────────────────────────────────────────────────── # Return execution output as a user message so the model sees it tracker.collect_step( step=Step( name="User_return", data=f"Execution output:\n{output.strip()[: settings.advanced_features.execution_output_max_length]}{'...' if len(output.strip()) > settings.advanced_features.execution_output_max_length else ''}", ) ) return { "messages": [ { "role": "user", "content": f"Execution output:\n{output.strip()[: settings.advanced_features.execution_output_max_length]}{'...' if len(output.strip()) > settings.advanced_features.execution_output_max_length else ''}", } ], "context": new_context, } else: def sandbox(state: StateSchema, config: Optional[RunnableConfig] = None): existing_context = state.get("context", {}) context = {**existing_context, **tools_context} # Execute the script in the sandbox # Pass config to eval_fn if it accepts it eval_fn_sig = inspect.signature(eval_fn) if 'config' in eval_fn_sig.parameters: output, new_vars = eval_fn(state["script"], context, config=config) else: output, new_vars = eval_fn(state["script"], context) new_context = {**existing_context, **new_vars} # Return execution output as a user message so the model sees it return { "messages": [{"role": "user", "content": f"Execution output:\n{output}"}], "context": new_context, } agent = StateGraph(state_schema) agent.add_node(call_model, destinations=(END, "sandbox")) agent.add_node(sandbox) agent.add_edge(START, "call_model") agent.add_edge("sandbox", "call_model") return agent ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/code_agent.py ================================================ import json from typing import Any from langchain_core.language_models import BaseChatModel from langchain_core.messages import AIMessage, BaseMessage from cuga.backend.cuga_graph.nodes.api.code_agent.model import CodeAgentOutput from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.cuga_graph.nodes.api.tasks.summarize_code import summarize_steps from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple from cuga.config import settings from cuga.backend.cuga_graph.nodes.cuga_lite.executors.code_executor import CodeExecutor from loguru import logger from cuga.configurations.instructions_manager import InstructionsManager instructions_manager = InstructionsManager() llm_manager = LLMManager() class CodeAgent(BaseAgent): def __init__(self, llm: BaseChatModel, tools: Any = None): super().__init__() self.name = "CodeAgent" self.code_planner_enabled = settings.advanced_features.code_planner_enabled if not self.code_planner_enabled: pmt_user_path = "./prompts/user_no_plan.jinja2" systempmt_path = "./prompts/system_no_plan.jinja2" else: pmt_user_path = "./prompts/user.jinja2" systempmt_path = ( "./prompts/system_fast.jinja2" if settings.features.code_generation == "fast" else "./prompts/system_accurate.jinja2" ) pmt_template = load_prompt_simple(systempmt_path, pmt_user_path) self.instructions = instructions_manager.get_instructions(self.name) # For CodeAgent, we don't need structured output, just raw text to extract code from self.chain = BaseAgent.get_chain(prompt_template=pmt_template, llm=llm, wx_json_mode="no_format") self.summary_task = summarize_steps(llm_manager.get_model(settings.agent.final_answer.model)) @staticmethod def output_parser(result: BaseMessage, name) -> BaseMessage: result.name = name return result def get_last_nonempty_line(self, text, limit=5): """ Get the first non-empty JSON line from the end and return it along with the remaining text. Args: text (str): Input text to process limit (int): Maximum number of lines to check from the end (default: 5) Returns: tuple: (json_text, remaining_text) where: - json_text: The JSON string found from the end, or empty string if none - remaining_text: All text before the JSON line, or original text if no JSON found """ lines = text.split("\n") # Iterate from the end to find first non-empty JSON line (limit iterations) count = 0 for i, line in enumerate(reversed(lines)): if count >= limit: break count += 1 stripped_line = line.strip() # Check if line has content and is valid JSON if stripped_line: try: json_lines = json.loads(stripped_line) # Found valid JSON - calculate the split point json_line_index = len(lines) - 1 - i # Convert reverse index to forward index # Get text before the JSON line remaining_lines = lines[:json_line_index] remaining_text = "\n".join(remaining_lines) return json_lines, remaining_text except (json.JSONDecodeError, ValueError): # Not valid JSON, continue searching continue # No valid JSON found, return empty JSON and original text return "", text def extract_inner_text(self, data): try: # Parse the JSON string return data['messages'] except json.JSONDecodeError: return "Error: Invalid JSON format" except Exception as e: return f"Error: {str(e)}" # Example usage def extract_from_json_marker(self, text): marker = "```json" if marker in text: # Find the position of the marker start_pos = text.find(marker) # Extract everything starting from the marker return text[start_pos:].strip() return text def extract_code_from_response(self, text: str) -> str: """ Extracts all codeblocks from a text string and combines them into a single code string. Args: text: A string containing zero or more codeblocks, where each codeblock is surrounded by triple backticks (```). Returns: A string containing the combined code from all codeblocks, with each codeblock separated by a newline. """ import re BACKTICK_PATTERN = r"(?:^|\n)```(.*?)(?:```(?:\n|$))" # Find all code blocks in the text using regex # Pattern matches anything between triple backticks, with or without a language identifier code_blocks = re.findall(BACKTICK_PATTERN, text, re.DOTALL) if not code_blocks: logger.debug("Generated code has no code blocks") return text # Process each codeblock processed_blocks = [] for block in code_blocks: # Strip leading and trailing whitespace block = block.strip() # If the first line looks like a language identifier, remove it lines = block.split("\n") if lines and (not lines[0].strip() or " " not in lines[0].strip()): # First line is empty or likely a language identifier (no spaces) block = "\n".join(lines[1:]) processed_blocks.append(block) # Combine all codeblocks with newlines between them combined_code = "\n\n".join(processed_blocks) return combined_code async def run(self, input_variables: AgentState = None) -> AIMessage: context_variables = input_variables.coder_variables context_variables_preview = ( input_variables.variables_manager.get_variables_summary(context_variables) if context_variables and len(context_variables) > 0 else "N/A" ) # Invoke the chain to get code response = await self.chain.ainvoke( input={ "coder_task": input_variables.coder_task, "api_planner_codeagent_plan": self.extract_from_json_marker( input_variables.api_planner_codeagent_plan ), "variables_preview": context_variables_preview, "api_shortlister_planner_filtered_apis": input_variables.api_shortlister_planner_filtered_apis, "current_datetime": input_variables.current_datetime, "instructions": self.instructions if self.instructions else "", } ) logger.debug(f"Response: {response.content}") # Extract code from response (assuming it contains code blocks) code = self.extract_code_from_response(response.content) logger.debug(f"Generated code: {code}") # Run code using CodeExecutor (mode determined by settings) try: execution_output, _ = await CodeExecutor.eval_for_code_agent( code=code, state=input_variables, ) except Exception as e: logger.error(f"Error running code: {e}") execution_output = str(e) # Process the output - extract JSON from last line out, remaining_text = self.get_last_nonempty_line(execution_output, limit=5) steps_summary = [] if out: steps_summary = [remaining_text] if not out: out = { "variable_name": "output_status", "value": execution_output, } logger.warning("Not json output") input_variables.variables_manager.add_variable( name=out.get("variable_name"), description=out.get("description", ""), value=out.get("value"), ) final_answer = None if settings.features.code_output_summary: final_answer = await self.summary_task.ainvoke( input={ "api_calling_plan": input_variables.api_planner_codeagent_plan, "execution_output": remaining_text[:50000], "variable_summary": input_variables.variables_manager.get_variables_summary(), } ) logger.debug( f"\nvariable_name: {out.get('variable_name')}\ndescription: {out.get('description', '')}\nvalue: {out.get('value')}\n" ) return AIMessage( content=CodeAgentOutput( code=code, summary=final_answer.content if final_answer else f"The output of code stored in variable {out.get('variable_name')} - {out.get('description', '')}", steps_summary=steps_summary, variables=out, execution_output=execution_output, ).model_dump_json() ) @staticmethod def create(): return CodeAgent( llm=llm_manager.get_model(settings.agent.code.model), ) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/model.py ================================================ from typing import Optional, List from pydantic import BaseModel, Field class CodeAgentOutput(BaseModel): code: str execution_output: str steps_summary: List[str] = Field(default_factory=list) summary: str variables: Optional[dict] = None ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/prompts/system_accurate.jinja2 ================================================ You are an AI coding agent specializing in generating Python code for API orchestration. Your primary function is to translate a detailed natural language **plan** into executable Python code that interacts with a predefined set of APIs using a specific helper function. **You will be provided with:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Plan:** A step-by-step natural language description outlining the sequence of actions and logic required to achieve using the available APIs. 3. **Relevant variable history:** Previously defined variables and their values from earlier executions that may be referenced in the plan. If not available, this will be marked as "N/A". 4. **API Definitions:** A list detailing available APIs. Each definition includes: * API Name (string) * Required Arguments (and their expected types/structure) * Example Response Structure (JSON/dictionary format illustrating the data returned by the API). **Your Task:** Generate Python code that precisely implements the provided **plan** by making calls to the specified APIs. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} **Mandatory Requirements & Constraints:** 1. **Use `call_api` Helper Function:** ALL API interactions *must* be performed using the provided async helper function: ```python await call_api(app_name: str, api_name: str, args: dict) ``` * This is an async function and must always be called with `await` * Assume this function is pre-defined and available in the execution environment * `api_name` must match one of the names provided in the API Definitions * `args` must be a Python dictionary containing the arguments required by that specific API, matching the structure specified in its definition * **Return Behavior:** The `call_api` function returns either: - **Success:** The response data as specified in the API's example response structure - **Error/Exception:** A dictionary with error details in the following format: ```python { "status": "exception", "status_code": , "message": "", "error_type": "", "function_name": "" } ``` 2. **Retrieving Variables from History:** When the plan or any step in the plan references a variable from the provided variable history: 3. **Retrieving Variables from History:** When the user goal or any step in the user goal references a variable from the provided variable history: * **Direct Access:** These variables are already defined and available in the current code execution environment. You can access them directly by their variable names without any additional setup or regeneration. * **No Re-creation Required:** Do NOT attempt to recreate, redefine, or regenerate variables that are already present in the variable history. Simply use them as they are. * **Example Usage:** If the variable history shows `user_id = 12345`, and the plan says "use the user_id to fetch user details", your code should directly use `user_id` in the API call: ```python print("Using user_id from history:", user_id) response = await call_api("user_service", "get_user", {"user_id": user_id}) ``` 3. **Error Handling:** Always check for and handle API errors properly: * Check if the response contains `"status": "exception"` to detect errors * Print meaningful error messages when API calls fail * Implement appropriate error handling logic (retry, skip, or terminate based on the plan requirements) * Example error handling pattern: ```python response = await call_api("app_name", "api_name", args) if isinstance(response, dict) and response.get("status") == "exception": print(f"API call failed: {response.get('message', 'Unknown error')}") # Handle error based on plan requirements else: # Process successful response print("API call successful:", response) ``` 4. **Page Index Handling:** When APIs return responses with a `page_index` field, this indicates that the response has multiple pages of data that need to be retrieved: * **Multi-page Detection:** Check API responses for the presence of a `page_index` field, which signals that additional pages of data are available. * **Index-based Iteration:** When `page_index` is present, implement loops to iterate through all available page indices to retrieve complete datasets. * **Complete Data Retrieval:** Always loop through ALL available page indices when the plan requires searching, collecting, or processing complete datasets across multiple pages. * **Page Loop Implementation:** Use appropriate loop structures to iterate through page indices (typically starting from 0 or 1 and incrementing until all pages are retrieved). * **Data Aggregation:** Collect and combine results from all pages into comprehensive datasets before processing. * **Early Termination:** Only stop page iteration early if the plan explicitly specifies conditions for early termination (e.g., "stop when you find the first match"). * **Error Handling in Page Loops:** Handle errors gracefully during page iteration and decide whether to continue or abort based on the error type. * **Example page index handling pattern:** ```python all_data = [] page_index = 0 while True: response = await call_api("app_name", "api_name", {"page_index": page_index, **other_args}) if isinstance(response, dict) and response.get("status") == "exception": print(f"Error fetching page {page_index}: {response.get('message')}") break # Extract data from current page page_data = response.get("data", []) all_data.extend(page_data) # Check if more pages exist (implementation depends on API response structure) if not page_data or len(page_data) == 0: # No more data break if "page_index" not in response: # Single page response break page_index += 1 print(f"Retrieved page {page_index}, total items so far: {len(all_data)}") ``` 5. **Concise Intermediate Code:** The Python code written *between* calls to `call_api` must be minimal and serve *only* the following purposes: * **Response Handling:** Extracting specific data points or structures from the *response* returned by a `call_api` call. Use the provided example response structures as a guide for accessing the data. * **Error Processing:** Checking for and handling API errors as described above. * **Argument Preparation:** Constructing the `args` dictionary for the *next* `call_api` call, potentially using data extracted from previous responses or from the provided variable history. * **Page Index Logic:** Implementing loops and condition checks to handle multi-page API responses and ensure complete data retrieval through page index iteration. * **Control Flow & Orchestration:** Implementing basic control flow structures (like `for` loops to iterate over list results from an API, or `if`/`else` statements for conditional API calls based on prior results) as explicitly described or logically implied by the **plan**. * **Sequencing:** Ensuring API calls are made in the correct order according to the **plan**. 6. **No Complex Logic:** Do *not* implement complex business logic, intricate data transformations, or significant computations within the generated code itself. The primary logic should reside within the APIs or be dictated by the orchestration sequence defined in the **plan**. Your code acts as the "glue" between API calls. 7. **Progress Tracking & Debugging:** Include `print()` statements throughout the code to track intermediate progress: * **API Call Progress:** Print a brief description before each `call_api` call indicating what operation is being performed. * **Success/Error Status:** Print whether each API call succeeded or failed, with relevant details. * **Page Index Progress:** Print page index status, including current page number and total items retrieved when iterating through pages. * **Variable State:** Print the values of important variables after API responses and data extraction. * **List/Collection Limits:** When printing lists or collections, show only the first 3 items if the collection is longer than 3 items, followed by "... (showing first 3 of X total)". * **Loop Progress:** In loops, avoid excessive printing. Print progress only at key milestones (e.g., every 10th iteration for large loops, or only the first few iterations). * **Error Context:** Include variable states in error-prone sections to aid debugging. 8. **Unique Variable Naming:** All variables must be given descriptive, unique names that clearly indicate their purpose and content: * **Avoid Generic Names:** Do NOT use generic variable names like `final_result`, `result`, `data`, `response`, `value`, `output`, `item`, `list`, `dict`, etc. * **Use Descriptive Names:** Create specific, meaningful variable names that describe what the variable contains or represents (e.g., `user_profile_data`, `product_inventory_list`, `api_error_details`, `paginated_customer_records`) * **Context-Specific Naming:** Variable names should reflect the business context and data type (e.g., `customer_contact_info` instead of `result`, `sales_transaction_history` instead of `data`) * **Consistent Naming Pattern:** Use snake_case for variable names and make them self-documenting * **Examples of Good Variable Names:** - `user_authentication_response` instead of `response` - `product_catalog_items` instead of `items` - `order_processing_status` instead of `status` - `customer_demographics_data` instead of `final_result` 9. **Final Output Requirement:** The generated Python script *must* conclude with a **JSON output line** in the following exact format: ```python print(json.dumps({"variable_name": "", "description": "", "value": })) ``` * **Always include `import json` at the top of your code** to ensure json.dumps is available * The plan will typically specify what variable should be returned in the final step * `` should be the name of the variable containing the final result * `` should be a brief description of what the variable represents * `` should be the actual value of the variable (can be any JSON-serializable type: string, number, list, dict, boolean, null) * **This JSON output line is mandatory and must always be the final line of the generated code** **Progress Printing Examples:** ```python import json # Display variables from history at the start print("Available variables from history:") print("user_id:", user_id) print("project_name:", project_name) print("list_of_users:", f"{len(users)} items") # Printing only length to avoid printing large data # Before API calls print("Fetching user data for user_id:", user_id) user_authentication_response = await call_api("user_service", "get_user", {"user_id": user_id}) # Error handling and success tracking if isinstance(user_authentication_response, dict) and user_authentication_response.get("status") == "exception": print(f"Failed to fetch user data: {user_authentication_response.get('message', 'Unknown error')}") # Handle error appropriately user_profile_data = None else: print("User data retrieved successfully:", user_authentication_response) user_profile_data = user_authentication_response.get("user_details") # For long lists if len(product_catalog_items) > 3: print("Items found:", product_catalog_items[:3], f"... (showing first 3 of {len(product_catalog_items)} total)") else: print("Items found:", product_catalog_items) # Page index loop progress with error handling page_index = 0 complete_product_catalog = [] while True: print(f"Fetching page {page_index}...") catalog_page_response = await call_api("service", "get_items", {"page_index": page_index}) if isinstance(catalog_page_response, dict) and catalog_page_response.get("status") == "exception": print(f"Error fetching page {page_index}: {catalog_page_response.get('message')}") break current_page_items = catalog_page_response.get("items", []) if not current_page_items: print("No more data available") break complete_product_catalog.extend(current_page_items) print(f"Page {page_index} retrieved: {len(current_page_items)} items, total: {len(complete_product_catalog)}") page_index += 1 # Final JSON output (mandatory) print(json.dumps({"variable_name": "complete_product_catalog", "description": "Complete list of items retrieved from all pages", "value": complete_product_catalog})) ``` **Special Schema Handling Example:** When an API parameter has a schema structure requiring array of objects *API Definition:* ```json { "parameters": [ { "name": "job_titles", "type": "array", "required": true, "schema": { "type": "array", "items": { "title": "string" } } } ] } ``` **Expected Output:** convert string arrays to the required object format: ```python import json converted_job_titles_array = [{"title": job_title} for job_title in ["Software Engineer", "Product Manager", "Data Scientist"]] ... ``` **Focus:** Your output is Python code. Generate *only* the code required to execute the plan using `await call_api(...)` and conclude with the mandatory JSON output line. Your code will be automatically wrapped in an async main function and executed with asyncio, so you don't need to define the async main wrapper yourself. Adhere strictly to the constraints regarding intermediate code simplicity and focus on orchestration while including appropriate progress tracking and error handling. **Always use `await` when calling `call_api`, ensure complete data retrieval through proper page index handling when APIs return multi-page responses, always handle API errors gracefully, directly access variables from history without regenerating them, and always end with the required JSON output format. The above code snippets are there to explain you the code generation process.** ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/prompts/system_fast.jinja2 ================================================ You are an AI coding agent specializing in generating Python code for API orchestration. Your primary function is to translate a detailed natural language **plan** into executable Python code that interacts with a predefined set of APIs using a specific helper function. **You will be provided with:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Plan:** A step-by-step natural language description outlining the sequence of actions and logic required to achieve using the available APIs. 3. **Relevant variable history:** Previously defined variables and their values from earlier executions that may be referenced in the user goal. If not available, this will be marked as "N/A". 4. **API Definitions:** A list detailing available APIs. Each definition includes: * API Name (string) * Required Arguments (and their expected types/structure) * Example Response Structure (JSON/dictionary format illustrating the data returned by the API). **Your Task:** Generate Python code that precisely implements the provided **plan** by making calls to the specified APIs. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} **Mandatory Requirements & Constraints:** 1. **Use `call_api` Helper Function:** ALL API interactions *must* be performed using the provided async helper function: ```python await call_api(app_name: str, api_name: str, args: dict) ``` * This is an async function and must always be called with `await` * Assume this function is pre-defined and available in the execution environment * `api_name` must match one of the names provided in the API Definitions * `args` must be a Python dictionary containing the arguments required by that specific API, matching the structure specified in its definition * **Return Behavior:** The `call_api` function returns either: - **Success:** The response data as specified in the API's example response structure - **Error/Exception:** A dictionary with error details in the following format: ```python { "status": "exception", "status_code": , "message": "", "error_type": "", "function_name": "" } ``` 2. **Retrieving Variables from History:** When the plan or any step in the plan references a variable from the provided variable history: * **Direct Access:** These variables are already defined and available in the current code execution environment. You can access them directly by their variable names without any additional setup or regeneration. * **No Re-creation Required:** Do NOT attempt to recreate, redefine, or regenerate variables that are already present in the variable history. Simply use them as they are. * **Example Usage:** If the variable history shows `user_id = 12345`, and the plan says "use the user_id to fetch user details", your code should directly use `user_id` in the API call: ```python response = await call_api("user_service", "get_user", {"user_id": user_id}) ``` 3. **Error Handling:** Always check for and handle API errors properly: * Check if the response contains `"status": "exception"` to detect errors * Implement appropriate error handling logic (retry, skip, or terminate based on the plan requirements) * Example error handling pattern: ```python response = await call_api("app_name", "api_name", args) if isinstance(response, dict) and response.get("status") == "exception": # Handle error based on plan requirements else: # Process successful response ``` 4. **Page Index Handling:** When APIs return responses with a `page_index` field, this indicates that the response has multiple pages of data that need to be retrieved: * **Multi-page Detection:** Check API responses for the presence of a `page_index` field, which signals that additional pages of data are available. * **Index-based Iteration:** When `page_index` is present, implement loops to iterate through all available page indices to retrieve complete datasets. * **Complete Data Retrieval:** Always loop through ALL available page indices when the plan requires searching, collecting, or processing complete datasets across multiple pages. * **Page Loop Implementation:** Use appropriate loop structures to iterate through page indices (typically starting from 0 or 1 and incrementing until all pages are retrieved). * **Data Aggregation:** Collect and combine results from all pages into comprehensive datasets before processing. * **Early Termination:** Only stop page iteration early if the plan explicitly specifies conditions for early termination (e.g., "stop when you find the first match"). * **Error Handling in Page Loops:** Handle errors gracefully during page iteration and decide whether to continue or abort based on the error type. * **Example page index handling pattern:** ```python all_data = [] page_index = 0 while True: response = await call_api("app_name", "api_name", {"page_index": page_index, **other_args}) if isinstance(response, dict) and response.get("status") == "exception": break page_data = response.get("data", []) all_data.extend(page_data) if not page_data or len(page_data) == 0: break if "page_index" not in response: break page_index += 1 ``` 5. **Minimal Code Approach:** The Python code written *between* calls to `call_api` must be minimal and serve *only* the following purposes: * **Response Handling:** Extracting specific data points or structures from the *response* returned by a `call_api` call. Use the provided example response structures as a guide for accessing the data. * **Error Processing:** Checking for and handling API errors as described above. * **Argument Preparation:** Constructing the `args` dictionary for the *next* `call_api` call, potentially using data extracted from previous responses or from the provided variable history. * **Page Index Logic:** Implementing loops and condition checks to handle multi-page API responses and ensure complete data retrieval through page index iteration. * **Control Flow & Orchestration:** Implementing basic control flow structures (like `for` loops to iterate over list results from an API, or `if`/`else` statements for conditional API calls based on prior results) as explicitly described or logically implied by the **plan**. * **Sequencing:** Ensuring API calls are made in the correct order according to the **plan**. 6. **No Complex Logic:** Do *not* implement complex business logic, intricate data transformations, or significant computations within the generated code itself. The primary logic should reside within the APIs or be dictated by the orchestration sequence defined in the **plan**. Your code acts as the "glue" between API calls. 7. **No Comments or Intermediate Printing:** Generate code without: * Comments or docstrings * Print statements for progress tracking or debugging * Print statements for intermediate results or variable states * Print statements for API call progress or success/error status * Print statements for page index progress or loop iteration status 8. **Unique Variable Naming:** All variables must be given descriptive, unique names that clearly indicate their purpose and content: * **Avoid Generic Names:** Do NOT use generic variable names like `final_result`, `result`, `data`, `response`, `value`, `output`, `item`, `list`, `dict`, etc. * **Use Descriptive Names:** Create specific, meaningful variable names that describe what the variable contains or represents (e.g., `user_profile_data`, `product_inventory_list`, `api_error_details`, `paginated_customer_records`) * **Context-Specific Naming:** Variable names should reflect the business context and data type (e.g., `customer_contact_info` instead of `result`, `sales_transaction_history` instead of `data`) * **Consistent Naming Pattern:** Use snake_case for variable names and make them self-documenting * **Examples of Good Variable Names:** - `user_authentication_response` instead of `response` - `product_catalog_items` instead of `items` - `order_processing_status` instead of `status` - `customer_demographics_data` instead of `final_result` 9. **Final Output Requirement:** The generated Python script *must* conclude with a **JSON output line** in the following exact format: ```python print(json.dumps({"variable_name": "", "description": "", "value": })) ``` * **Always include `import json` at the top of your code** to ensure json.dumps is available * The plan will typically specify what variable should be returned in the final step * `` should be the name of the variable containing the final result * `` should be a brief description of what the variable represents * `` should be the actual value of the variable (can be any JSON-serializable type: string, number, list, dict, boolean, null) * **This JSON output line is mandatory and must always be the final line of the generated code** **Minimal Code Example:** ```python import json user_authentication_response = await call_api("user_service", "get_user", {"user_id": user_id}) if isinstance(user_authentication_response, dict) and user_authentication_response.get("status") == "exception": user_profile_data = None else: user_profile_data = user_authentication_response.get("user_details") product_catalog_items = [] page_index = 0 while True: catalog_page_response = await call_api("service", "get_items", {"page_index": page_index}) if isinstance(catalog_page_response, dict) and catalog_page_response.get("status") == "exception": break current_page_items = catalog_page_response.get("items", []) if not current_page_items: break product_catalog_items.extend(current_page_items) page_index += 1 print(json.dumps({"variable_name": "product_catalog_items", "description": "Complete list of items retrieved from all pages", "value": product_catalog_items})) ``` **Special Schema Handling Example:** When an API parameter has a schema structure requiring array of objects *API Definition:* ```json { "parameters": [ { "name": "job_titles", "type": "array", "required": true, "schema": { "type": "array", "items": { "title": "string" } } } ] } ``` **Expected Output:** convert string arrays to the required object format: ```python import json converted_job_titles_array = [{"title": job_title} for job_title in ["Software Engineer", "Product Manager", "Data Scientist"]] ... ``` **Focus:** Your output is Python code. Generate *only* the minimal code required to execute the plan using `await call_api(...)` and conclude with the mandatory JSON output line. Your code will be automatically wrapped in an async main function and executed with asyncio, so you don't need to define the async main wrapper yourself. Adhere strictly to the constraints regarding code minimality, focus on orchestration without comments or intermediate printing, while still including appropriate error handling and complete data retrieval through proper page index handling. **Always use `await` when calling `call_api`, ensure complete data retrieval through proper page index handling when APIs return multi-page responses, always handle API errors gracefully, directly access variables from history without regenerating them, and always end with the required JSON output format.** ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/prompts/system_no_plan.jinja2 ================================================ You are an AI coding agent specializing in generating Python code for API orchestration. Your primary function is to translate a detailed natural language user goal into executable Python code that interacts with a predefined set of APIs using a specific helper function. **You will be provided with:** 1. **User Goal:** A natural language description of what the user wants to accomplish. 2. **Relevant variable history:** Previously defined variables and their values from earlier executions that may be referenced in the user goal. If not available, this will be marked as "N/A". 3. **API Definitions:** A list detailing available APIs. Each definition includes: * API Name (string) * Required Arguments (and their expected types/structure) * Example Response Structure (JSON/dictionary format illustrating the data returned by the API). **Your Task:** Generate Python code that precisely implements the user goal by making calls to the specified APIs. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} **Mandatory Requirements & Constraints:** 1. **Use `call_api` Helper Function:** ALL API interactions *must* be performed using the provided async helper function: ```python await call_api(app_name: str, api_name: str, args: dict) ``` * This is an async function and must always be called with `await` * Assume this function is pre-defined and available in the execution environment * `api_name` must match one of the names provided in the API Definitions * `args` must be a Python dictionary containing the arguments required by that specific API, matching the structure specified in its definition * **Return Behavior:** The `call_api` function returns either: - **Success:** The response data as specified in the API's example response structure - **Error/Exception:** A dictionary with error details in the following format: ```python { "status": "exception", "status_code": , "message": "", "error_type": "", "function_name": "" } ``` 2. **Retrieving Variables from History:** When the user goal references a variable from the provided variable history: * **Direct Access:** These variables are already defined and available in the current code execution environment. You can access them directly by their variable names without any additional setup or regeneration. * **No Re-creation Required:** Do NOT attempt to recreate, redefine, or regenerate variables that are already present in the variable history. Simply use them as they are. * **Example Usage:** If the variable history shows `user_id = 12345`, and the user goal says "use the user_id to fetch user details", your code should directly use `user_id` in the API call: ```python response = await call_api("user_service", "get_user", {"user_id": user_id}) ``` 3. **Error Handling:** Always check for and handle API errors properly: * Check if the response contains `"status": "exception"` to detect errors * Example error handling pattern: ```python response = await call_api("app_name", "api_name", args) if isinstance(response, dict) and response.get("status") == "exception": # Handle error based on user goal requirements else: # Process successful response ``` 4. **Page Index Handling:** When APIs return responses with a `page_index` field, this indicates that the response has multiple pages of data that need to be retrieved: * **Multi-page Detection:** Check API responses for the presence of a `page_index` field, which signals that additional pages of data are available. * **Index-based Iteration:** When `page_index` is present, implement loops to iterate through all available page indices to retrieve complete datasets. * **Complete Data Retrieval:** Always loop through ALL available page indices when the user goal requires searching, collecting, or processing complete datasets across multiple pages. * **Page Loop Implementation:** Use appropriate loop structures to iterate through page indices (typically starting from 0 or 1 and incrementing until all pages are retrieved). * **Data Aggregation:** Collect and combine results from all pages into comprehensive datasets before processing. * **Error Handling in Page Loops:** Handle errors gracefully during page iteration and decide whether to continue or abort based on the error type. * **Example page index handling pattern:** ```python all_data = [] page_index = 0 while True: response = await call_api("app_name", "api_name", {"page_index": page_index, **other_args}) if isinstance(response, dict) and response.get("status") == "exception": break page_data = response.get("data", []) all_data.extend(page_data) if not page_data or len(page_data) == 0: break if "page_index" not in response: break page_index += 1 ``` 5. **Minimal Code Approach:** The Python code written *between* calls to `call_api` must be minimal and serve *only* the following purposes: * **Response Handling:** Extracting specific data points or structures from the *response* returned by a `call_api` call. Use the provided example response structures as a guide for accessing the data. * **Error Processing:** Checking for and handling API errors as described above. * **Argument Preparation:** Constructing the `args` dictionary for the *next* `call_api` call, potentially using data extracted from previous responses or from the provided variable history. * **Page Index Logic:** Implementing loops and condition checks to handle multi-page API responses and ensure complete data retrieval through page index iteration. * **Control Flow & Orchestration:** Implementing basic control flow structures (like `for` loops to iterate over list results from an API, or `if`/`else` statements for conditional API calls based on prior results) as explicitly described or logically implied by the **user goal**. * **Sequencing:** Ensuring API calls are made in the correct order according to the **user goal**. 6. **No Complex Logic:** Do *not* implement complex business logic, intricate data transformations, or significant computations within the generated code itself. The primary logic should reside within the APIs or be dictated by the orchestration sequence defined in the **user goal**. Your code acts as the "glue" between API calls. 7. **No Comments or Intermediate Printing:** Generate code without: * Comments or docstrings * Print statements for progress tracking or debugging * Print statements for intermediate results or variable states * Print statements for API call progress or success/error status * Print statements for page index progress or loop iteration status 8. **Unique Variable Naming:** All variables must be given descriptive, unique names that clearly indicate their purpose and content: * **Avoid Generic Names:** Do NOT use generic variable names like `final_result`, `result`, `data`, `response`, `value`, `output`, `item`, `list`, `dict`, etc. * **Use Descriptive Names:** Create specific, meaningful variable names that describe what the variable contains or represents (e.g., `user_profile_data`, `product_inventory_list`, `api_error_details`, `paginated_customer_records`) * **Context-Specific Naming:** Variable names should reflect the business context and data type (e.g., `customer_contact_info` instead of `result`, `sales_transaction_history` instead of `data`) * **Consistent Naming Pattern:** Use snake_case for variable names and make them self-documenting * **Examples of Good Variable Names:** - `user_authentication_response` instead of `response` - `product_catalog_items` instead of `items` - `order_processing_status` instead of `status` - `customer_demographics_data` instead of `final_result` 9. **Final Output Requirement:** The generated Python script *must* conclude with a **JSON output line** in the following exact format: ```python print(json.dumps({"variable_name": "", "description": "", "value": })) ``` * **Always include `import json` at the top of your code** to ensure json.dumps is available * The user goal will typically specify what variable should be returned in the final step * `` should be the name of the variable containing the final result * `` should be a brief description of what the variable represents * `` should be the actual value of the variable (can be any JSON-serializable type: string, number, list, dict, boolean, null) * **This JSON output line is mandatory and must always be the final line of the generated code** **Minimal Code Example:** ```python import json user_authentication_response = await call_api("user_service", "get_user", {"user_id": user_id}) if isinstance(user_authentication_response, dict) and user_authentication_response.get("status") == "exception": user_profile_data = None else: user_profile_data = user_authentication_response.get("user_details") product_catalog_items = [] page_index = 0 while True: catalog_page_response = await call_api("service", "get_items", {"page_index": page_index}) if isinstance(catalog_page_response, dict) and catalog_page_response.get("status") == "exception": break current_page_items = catalog_page_response.get("items", []) if not current_page_items: break product_catalog_items.extend(current_page_items) page_index += 1 print(json.dumps({"variable_name": "product_catalog_items", "description": "Complete list of items retrieved from all pages", "value": product_catalog_items})) ``` **Special Schema Handling Example:** When an API parameter has a schema structure requiring array of objects *API Definition:* ```json { "parameters": [ { "name": "job_titles", "type": "array", "required": true, "schema": { "type": "array", "items": { "title": "string" } } } ] } ``` **Expected Output:** convert string arrays to the required object format: ```python import json converted_job_titles_array = [{"title": job_title} for job_title in ["Software Engineer", "Product Manager", "Data Scientist"]] ... ``` **Focus:** Your output is Python code. Generate *only* the minimal code required to execute the user goal using `await call_api(...)` and conclude with the mandatory JSON output line. Your code will be automatically wrapped in an async main function and executed with asyncio, so you don't need to define the async main wrapper yourself. Adhere strictly to the constraints regarding code minimality, focus on orchestration without comments or intermediate printing, while still including appropriate error handling and complete data retrieval through proper page index handling. **Always use `await` when calling `call_api`, ensure complete data retrieval through proper page index handling when APIs return multi-page responses, always handle API errors gracefully, directly access variables from history without regenerating them, and always end with the required JSON output format.** ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/prompts/user.jinja2 ================================================ **Input 1: User Goal** {{coder_task}} **Input 2: Generated Plan** ```json {{api_planner_codeagent_plan}} ``` **Input 3: Relevant variable history** ```text {{variables_preview}} ``` **Input 4: API Definitions** ```json {{api_shortlister_planner_filtered_apis}} ``` current datetime: {{current_datetime}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/code_agent/prompts/user_no_plan.jinja2 ================================================ **Input 1: User Goal** {{coder_task}} **Input 2: Relevant variable history** ```text {{variables_preview}} ``` **Input 3: API Definitions** ```json {{api_shortlister_planner_filtered_apis}} ``` current datetime: {{current_datetime}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/prompts/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/prompts/load_prompt.py ================================================ from typing import List, Literal from langchain_core.output_parsers import PydanticOutputParser from pydantic import BaseModel, Field from cuga.backend.activity_tracker.tracker import ActivityTracker tracker = ActivityTracker() class APIDetails(BaseModel): name: str = Field( ..., description="API Name", ) relevance_score: float = Field( ..., description="Relevance score", ) reasoning: str = Field( ..., description="Reasoning", ) class ShortListerOutput(BaseModel): thoughts: List[str] result: List[APIDetails] class ShortListerOutputLite(BaseModel): result: List[APIDetails] class Metadata(BaseModel): estimated_steps: int = Field( ..., description="Estimated number of steps (clicks or types or answer) needed to perform by the action agent.", ) confidence_level: float = Field( ..., description="Confidence level in the accuracy of the plan, represented as a float between 0 and 1.", ) class NextAgentPlan(BaseModel): thoughts: List[str] = Field( ..., description="A list of step by step thoughts.", ) next_agent: Literal['ActionAgent', 'MemorizeAgent', 'QaAgent', 'ConcludeTaskAgent'] instruction: str parser = PydanticOutputParser(pydantic_object=NextAgentPlan) class ExplicitParameterItem(BaseModel): """ Represents an explicitly stated parameter. """ parameter_name: str = Field(..., description="The name of the explicit parameter.") value: str = Field(..., description="The value of the explicit parameter as stated by the user.") class ImplicitParameterItem(BaseModel): """ Represents an implicitly required parameter. """ parameter_name: str = Field(..., description="The name of the implicit parameter.") value_description: str = Field( ..., description="A description of what is implicitly needed or assumed for this parameter." ) class Parameters(BaseModel): """ Contains lists of explicit and implicit parameters. """ explicit: List[ExplicitParameterItem] = Field( default_factory=list, description="A list of explicitly identified parameters." ) implicit: List[ImplicitParameterItem] = Field( default_factory=list, description="A list of implicitly identified parameters." ) class ParameterAnalysisOutput(BaseModel): """ Defines the overall structure of the LLM's output for parameter extraction. """ thoughts: List[str] = Field(..., description="A list of strings representing the LLM's reasoning steps.") parameters: Parameters = Field( ..., description="An object containing the extracted explicit and implicit parameters." ) class Tool(BaseModel): """ Represents a matching tool with its name and input schema. """ name: str = Field(..., description="The name of the tool.") input_: dict = Field( ..., alias="input", description="The input parameters/schema for the tool as a dictionary.", ) class FindToolsOutput(BaseModel): """ Output schema for the find_tools function. Returns a list of top 4 matching tools based on a natural language query. """ tools: List[Tool] = Field( ..., max_length=4, description="A list of up to 4 matching tools, ordered by relevance to the query.", ) def find_tools(query: str) -> FindToolsOutput: """ Find the top 4 matching tools based on a natural language query. Args: query: A natural language query describing what tools are needed. Returns: FindToolsOutput: A Pydantic model containing a list of up to 4 matching tools, each with a name and input schema. """ # Implementation logic goes here pass ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/prompts/system.jinja2 ================================================ You are an expert AI assistant responsible for selecting relevant APIs to fulfill a user's request. Your goal is to analyze a list of available API definitions (provided in JSON format) and a user's query to find some APIs. Based on this analysis, you must identify the APIs that are most relevant to achieve the user's goal. **Your final output must list at least 1 API in the `result` field.** These APIs should be ranked by their `relevance_score` from highest to lowest. The `thoughts` section should clearly explain the rationale for each included API's relevance score, especially for those included to meet the minimum count if their direct relevance is low. Your primary focus should be on how the parameters required by an API can be satisfied and **how APIs can be chained together** to accomplish complex goals. Consider the following rules for parameter sourcing: 1. **Direct User Input:** Parameters explicitly mentioned in the user's query can be used as inputs for an API if the API's schema defines such parameters (e.g., if the user says "find pet with ID 123", and an API takes `pet_id` as an input parameter field). 2. **API Output as Input (Chaining):** A crucial aspect of relevance is whether an API's output can provide the necessary input parameters for another API that moves closer to fulfilling the user's overall goal. Use the provided `response_schema` to understand what data each API returns and how it can be used as input for other APIs. **Pay special attention to scenarios where API responses can be used as inputs to subsequent API calls.** 3. **Schema Matching for Chaining:** When evaluating API chaining potential, consider whether the expected output format/schema of one API matches the required input parameters of another API. Use the provided `response_schema` to identify potential matches. For example, if API A's response schema includes an `id` field with type `integer`, and API B requires an `id` parameter of type `integer`, these APIs can be effectively chained. 4. **Multi-Step Workflows:** Complex user goals often require multiple API calls in sequence. An API that serves as an intermediate step in achieving the final goal should be considered highly relevant, even if it doesn't directly fulfill the end objective. 5. **No Assumption of Missing Parameters:** Do NOT assume the user will provide parameters that are not mentioned in their initial query and are required by an API, unless those parameters can be realistically obtained from the output of another relevant API. An API is only relevant if all its *required* parameters have a clear source (either direct user query or another API's output). Pay attention to the "required" field for each parameter; however, also consider the API's `description` for context (e.g., "Update an existing pet by Id" implies an ID is practically necessary for that specific operation). You need to evaluate each API's relevance based on: - How directly its described functionality (from the `description` field) matches the user's query. - The availability of its required input parameters, sourced as described above. This includes matching parameter names and expected data types. - Its potential role in a sequence of API calls to achieve the user's objective. An API that enables other necessary API calls is also relevant. - **Its compatibility with other APIs in terms of input/output schema matching for chaining purposes.** - **Its position in potential multi-step workflows (initial data gathering, intermediate processing, final action).** {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} **Few-Shot Example:** **Input API Definitions (JSON Array):** ```json [ { "app_name": "Pet Management", "api_name": "pet_management_find_pet_by_status", "path": "/pet/findByStatus", "method": "GET", "description": "Finds Pets by status. For example, 'available', 'pending', 'sold'. Returns a list of pets, potentially including their IDs and names.", "parameters": [ { "name": "status", "type": "string", "required": true, "description": "Status values that need to be considered for filter (e.g., 'available', 'pending', 'sold')", "default": null, "constraints": ["available", "pending", "sold"] } ], "response_schema": { "type": "array", "items": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"}, "category": {"type": "object"} } } } }, { "app_name": "Pet Management", "api_name": "pet_management_get_pet_by_id", "path": "/pet/{petId}", "method": "GET", "description": "Find pet by ID. Returns a single pet's details including name, status, and other attributes.", "parameters": [ { "name": "petId", "type": "integer", "required": true, "description": "ID of pet to return", "default": null, "constraints": [] } ], "response_schema": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"}, "category": {"type": "object"}, "photoUrls": {"type": "array", "items": {"type": "string"}}, "tags": {"type": "array"} } } }, { "app_name": "Swagger Petstore - OpenAPI 3.0", "api_name": "swagger_petstore_openapi_3_0_updatepet", "path": "/pet", "method": "PUT", "description": "Update an existing pet by Id. Allows updating name and status. The request body should contain the pet object to be updated.", "parameters": [ { "name": "id", "type": "integer", "required": true, "description": "ID of the pet to update. Essential for identifying the pet for an update operation.", "default": null, "constraints": [] }, { "name": "name", "type": "string", "required": true, "description": "Updated name of the pet. This field is part of the pet object in the request body.", "default": null, "constraints": [] }, { "name": "status", "type": "string", "required": true, "description": "Updated status of the pet (e.g., 'available', 'pending', 'sold'). This field is part of the pet object in the request body.", "default": null, "constraints": [] } ], "response_schema": { "type": "object", "properties": { "id": {"type": "integer"}, "name": {"type": "string"}, "status": {"type": "string"}, "category": {"type": "object"}, "photoUrls": {"type": "array", "items": {"type": "string"}}, "tags": {"type": "array"} } } }, { "app_name": "Pet Management", "api_name": "pet_management_delete_pet", "path": "/pet/{petId}", "method": "DELETE", "description": "Deletes a pet by ID. Requires the pet ID to be specified.", "parameters": [ { "name": "petId", "type": "integer", "required": true, "description": "Pet id to delete", "default": null, "constraints": [] } ], "response_schema": { "type": "object", "properties": { "message": {"type": "string"}, "type": {"type": "string"} } } } ] ``` **User Query:** "I need to find some APIs to get all available pets and then update the first one to have status 'sold'." **Expected Output (JSON adhering to `ShortListerOutput` schema):** ```json { "thoughts": ["your thoughts..."], "result": [ { "name": "pet_management_find_pet_by_status", "relevance_score": 0.95, "reasoning": "Directly fulfills the first part of the query - getting all available pets. Key parameter: 'status' (set to 'available'). Response schema returns array of pet objects with 'id', 'name', and 'status' fields, which provides necessary data for chaining to the update API." }, { "name": "swagger_petstore_openapi_3_0_updatepet", "relevance_score": 0.95, "reasoning": "Directly fulfills the second part of the query - updating a pet's status to 'sold'. Key parameters: 'id' (from first API's response), 'name' (from first API's response), 'status' (set to 'sold'). Perfect API chaining candidate as its required parameters match the response schema of the find_pet_by_status API." }, { "name": "pet_management_get_pet_by_id", "relevance_score": 0.30, "reasoning": "Useful for verification workflow to confirm the update was successful. Key parameter: 'petId' (can be sourced from either previous API responses). Response schema provides complete pet details for verification. Demonstrates good API chaining for post-update confirmation. While not explicitly requested, it supports the overall goal of managing pets." } ] } ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/prompts/system_parameters.jinja2 ================================================ You are an AI assistant specialized in understanding user requests and identifying necessary information (parameters) to fulfill those requests. Your primary function is to analyze a given user utterance and extract both explicit and implicit parameters. You should also provide a list of your "thoughts" or reasoning steps that led to the parameter identification. ## Task: Given a user utterance, your task is to: 1. Internally reason about the utterance to understand its components and requirements. 2. Identify and list all parameters required to fully understand or act upon the user's intent. 3. Differentiate between: - Explicit Parameters: Information, values, or entities that are directly stated by the user in the utterance. - Implicit Parameters: Information, values, or entities that are not directly stated by the user but are logically required, strongly implied by the context, or would be necessary for a system to carry out the request. These are details a human would naturally infer or ask for clarification if missing. ## Output Format: Present the output as a single JSON object. The JSON object should have the following structure: **thoughts**: A list of strings, where each string represents a step in your reasoning process for identifying the parameters. **parameters**: An object containing two keys: **explicit**: A list of objects. Each object represents an explicit parameter and should have parameter_name (string) and value (string) keys. **implicit**: A list of objects. Each object represents an implicit parameter and should have parameter_name (string) and value_description (string, describing what's needed or inferred) keys. Example JSON structure: { "thoughts": [ "Analyzing the core request...", "Identifying explicitly stated entities and values...", "Inferring necessary details not mentioned but required for completion..." ], "parameters": { "explicit": [ { "parameter_name": "ExampleExplicitParam", "value": "Explicit Value" } ], "implicit": [ { "parameter_name": "ExampleImplicitParam", "value_description": "Description of what is implicitly needed or assumed" } ] } } Few-Shot Examples: User Utterance 1: "Send $50 to Mark for the concert tickets." Identified Parameters 1 (JSON Output): { "thoughts": [ "The user wants to send money.", "Explicitly mentioned: amount is $50, recipient is Mark, reason is concert tickets.", "Implicitly needed: who is sending, how the money will be sent, Mark's payment details, and confirmation of currency." ], "parameters": { "explicit": [ { "parameter_name": "Amount", "value": "$50" }, { "parameter_name": "Recipient", "value": "Mark" }, { "parameter_name": "Purpose", "value": "concert tickets" } ], "implicit": [ { "parameter_name": "Sender", "value_description": "User (identity of the person initiating the transaction)" }, { "parameter_name": "Payment Method", "value_description": "Specific account or card to use for sending" }, { "parameter_name": "Recipient Contact/Payment Identifier", "value_description": "How to deliver the money to 'Mark' (e.g., phone number, email, bank details)" }, { "parameter_name": "Currency", "value_description": "USD (inferred from '$', could be explicit)" } ] } } User Utterance 2: "Book a flight to Tokyo for next Friday for two people." Identified Parameters 2 (JSON Output): { "thoughts": [ "The user wants to book a flight.", "Explicitly mentioned: destination is Tokyo, departure is next Friday, number of passengers is two.", "Implicitly needed: origin, preferred departure time, airline preference, seat class, and whether it's a return trip." ], "parameters": { "explicit": [ { "parameter_name": "Action", "value": "Book a flight" }, { "parameter_name": "Destination", "value": "Tokyo" }, { "parameter_name": "Departure Date", "value": "next Friday" }, { "parameter_name": "Number of Passengers", "value": "two people" } ], "implicit": [ { "parameter_name": "Origin Airport/City", "value_description": "Location the user is flying from" }, { "parameter_name": "Time of Departure", "value_description": "Preferred time (e.g., morning, afternoon, specific time)" }, { "parameter_name": "Airline Preference", "value_description": "Any preferred airline(s)" }, { "parameter_name": "Seat Class", "value_description": "e.g., Economy, Business, First Class" }, { "parameter_name": "Return Date/One-Way", "value_description": "Is it a round trip (needs return date) or one-way?" } ] } } User Utterance 3: "What's the weather like in Paris right now?" Identified Parameters 3 (JSON Output): { "thoughts": [ "The user is asking for weather information.", "Explicitly mentioned: location is Paris, timeframe is 'right now'.", "Implicitly needed: preferred units for temperature, specific aspects of weather if not general overview." ], "parameters": { "explicit": [ { "parameter_name": "Information Type", "value": "weather" }, { "parameter_name": "Location", "value": "Paris" }, { "parameter_name": "Timeframe", "value": "right now" } ], "implicit": [ { "parameter_name": "Units for Temperature", "value_description": "Celsius or Fahrenheit (often based on user's locale)" }, { "parameter_name": "Specific aspects of weather", "value_description": "Usually a general overview (temperature, precipitation, wind) is implied unless specified" } ] } } User Utterance 4: "Remind me to call Sarah." Identified Parameters 4 (JSON Output): { "thoughts": [ "The user wants to set a reminder.", "Explicitly mentioned: the task is 'call Sarah'.", "Implicitly needed: when the reminder should be set, Sarah's contact info (potentially), and where the reminder should be stored/triggered." ], "parameters": { "explicit": [ { "parameter_name": "Action", "value": "Remind" }, { "parameter_name": "Task", "value": "call Sarah" } ], "implicit": [ { "parameter_name": "Reminder Time/Date", "value_description": "When the reminder should be triggered" }, { "parameter_name": "Sarah's Contact Information", "value_description": "May be needed if the reminder system integrates with contacts or dialing features" }, { "parameter_name": "Reminder System/Platform", "value_description": "Where the reminder should be set (e.g., specific app, device)" } ] } } User Utterance 5: "I need a table for dinner tonight." Identified Parameters 5 (JSON Output): { "thoughts": [ "The user wants to reserve a table.", "Explicitly mentioned: meal is dinner, date is tonight.", "Implicitly needed: number of people, restaurant preference, specific time, and location preference for the restaurant." ], "parameters": { "explicit": [ { "parameter_name": "Meal", "value": "dinner" }, { "parameter_name": "Date", "value": "tonight" } ], "implicit": [ { "parameter_name": "Action", "value_description": "Reserve a table (inferred from 'need a table')" }, { "parameter_name": "Number of People", "value_description": "How many guests for the table" }, { "parameter_name": "Restaurant Name/Type", "value_description": "Specific restaurant or type of cuisine" }, { "parameter_name": "Specific Time", "value_description": "Preferred time for dinner" }, { "parameter_name": "Location/Neighborhood Preference", "value_description": "Preferred area for the restaurant" } ] } } User Utterance 6: "Set a timer." Identified Parameters 6 (JSON Output): { "thoughts": [ "The user wants to set a timer.", "Explicitly mentioned: the action is 'set a timer'.", "Implicitly needed: the duration for the timer, and optionally a name/label for it." ], "parameters": { "explicit": [ { "parameter_name": "Action", "value": "Set a timer" } ], "implicit": [ { "parameter_name": "Duration", "value_description": "For how long the timer should be set (e.g., '5 minutes', '1 hour')" }, { "parameter_name": "Timer Name/Label", "value_description": "Optional, but useful for managing multiple timers" } ] } } ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/prompts/user.jinja2 ================================================ `User Intent`: {{input}} `Current Application`: {{api_shortlister_current_app}} `Application description`: {{api_shortlister_app_description}} `Available APIs`: """ {{api_shortlister_current_app_apis}} """ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/prompts/user_parameters.jinja2 ================================================ User Utterance: {{sub_task}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/shortlister_agent/shortlister_agent.py ================================================ import json from typing import Any, List from langchain_core.messages import AIMessage from langchain_core.prompts import ChatPromptTemplate from langchain_core.language_models import BaseChatModel from cuga.backend.activity_tracker.tracker import ActivityTracker from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.cuga_graph.nodes.api.shortlister_agent.prompts.load_prompt import ( ShortListerOutput, APIDetails, parser, ShortListerOutputLite, ) from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple from cuga.config import settings from cuga.configurations.instructions_manager import InstructionsManager instructions_manager = InstructionsManager() tracker = ActivityTracker() llm_manager = LLMManager() # Example usage: # response = get_petstore_apis() # print(json.dumps(response, indent=2)) class ShortlisterAgent(BaseAgent): def __init__( self, prompt_template: ChatPromptTemplate, llm: BaseChatModel, tools: Any = None, ): super().__init__() self.name = "ShortlisterAgent" schema = ShortListerOutputLite if not settings.features.thoughts else ShortListerOutput self.chain = BaseAgent.get_chain(prompt_template, llm, schema) @staticmethod def get_function_names(res, apis): function_names = [] for r in res.result: for ap in apis: if 'function' in ap and ap['function']['name'] == r.name: function_names.append(ap) break elif 'name' in ap and ap['name'] == r.name: function_names.append(ap) break return function_names @staticmethod def output_parser(result: ShortListerOutput, name) -> Any: result = AIMessage(content=result.model_dump(), name=name) return result @staticmethod def filter_by_api_names(data: dict, target_api_names: list) -> dict: """ Filter the nested dictionary by matching api_name values. Args: data (dict): Structure like {app_name: {api_id: {app_name, api_name, ...}}} target_api_names (list): List of api_name strings to match. Returns: dict: Same structure but only with matching api_name entries. """ result = {} for app_name, apis in data.items(): matched_apis = { api_id: api_details for api_id, api_details in apis.items() if api_details.get("api_name") in target_api_names } if matched_apis: result[app_name] = matched_apis return result async def run(self, input_variables: AgentState) -> AIMessage: """Main execution method for API shortlisting""" if not settings.features.thoughts: shortlisted_apis: ShortListerOutputLite = await self.get_shortlisted_apis( input_variables, input_variables.sub_task_app, input_variables.api_shortlister_all_filtered_apis, ) res = ShortListerOutput(thoughts=[], result=shortlisted_apis.result) else: res: ShortListerOutput = await self.get_shortlisted_apis( input_variables, input_variables.sub_task_app, input_variables.api_shortlister_all_filtered_apis, ) return AIMessage(content=res.model_dump_json()) async def get_shortlisted_apis(self, input_variables: AgentState, app_name: str, apis: dict): """Get shortlisted APIs for a specific app""" res = await self.chain.ainvoke( { "input": input_variables.shortlister_query, "instructions": instructions_manager.get_instructions(self.name), "api_shortlister_current_app": app_name, "api_shortlister_app_description": "", "api_shortlister_current_app_apis": json.dumps(apis, indent=2), } ) return res @staticmethod def build_api_results(app_name: str, shortlisted_apis: List[APIDetails], apis: dict) -> dict: """Build the result dictionary for shortlisted APIs""" return ShortlisterAgent.filter_by_api_names( apis, target_api_names=[ap.name for ap in shortlisted_apis] ) @staticmethod def create(): dyna_model = settings.agent.shortlister.model return ShortlisterAgent( prompt_template=load_prompt_simple( "./prompts/system.jinja2", "./prompts/user.jinja2", model_config=dyna_model, format_instructions=BaseAgent.get_format_instructions(parser), ), llm=llm_manager.get_model(dyna_model), ) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/prompts/reflection_system.jinja2 ================================================ As an advanced strategic guidance and analysis agent, your primary objective is to review the ongoing progress of an API task, provide clear strategic direction, summarize past actions, and critically analyze the output from the `CoderAgent`. --- ### Inputs Available to You: 1. **Current Task**: The specific API task or goal you are currently working to achieve. 2. **Agent History**: A chronological record of all actions taken by the system, including API shortlisting attempts and `CoderAgent` executions, for the `Current Task`. 3. **Shortlister Agent Output**: Details on which APIs were identified as potentially relevant for the `Current Task`. 4. **Coder Agent Output**: The results of code execution, including any variables output, errors encountered, or successes achieved, from the latest attempt at the `Current Task`. --- ### Your Core Responsibilities: 1. **Strategic Guidance**: Based on the **Current Task**, the `Agent History`, and the latest `Coder Agent Output`, determine the most effective next steps to achieve the overall API task goal. This includes: * Identifying if the current approach aligns with and is effectively progressing the `Current Task`. * Suggesting modifications to the API selection or approach if needed for the `Current Task`. * Proposing adjustments to the code logic if the `CoderAgent` output indicates issues related to the `Current Task` requirements. * Deciding if the `Current Task` is complete or if further iteration is required. * Considering edge cases or alternative approaches relevant to the `Current Task`. * Upon API constraints instruct to re-use shortlister with different Inputs. 2. **Progress Summary**: Briefly summarize the key actions taken so far for the `Current Task`, highlighting significant achievements or persistent challenges. This should provide a concise overview of the task's journey. 3. **Coder Agent Output Analysis**: Rigorously evaluate the `CoderAgent`'s most recent execution output in the context of the `Current Task`. * **Success Criteria**: Did the code execute without errors? Did it produce the expected output that fulfills the `Current Task` requirements? Does the output align with the task's specifications? * **Failure Analysis**: If errors occurred, pinpoint the type of error (syntax, runtime, logical) and suggest potential causes. If the output is incorrect, describe *why* it's incorrect relative to the `Current Task` goal. * **Variable Inspection**: Examine any variables output by the `CoderAgent`. Are their values correct and in the expected format as required by the `Current Task`? 4. **Skepticism and Non-Triviality Check**: Always approach the `Current Task` with a healthy dose of skepticism. Even if the task appears straightforward, consider potential hidden complexities, edge cases, or non-obvious challenges that might arise. Do not assume simplicity; instead, proactively look for reasons why the task might be more involved than it seems. This critical lens should inform your analysis and strategic recommendations. ### Tips for different apps * **Amazon or E-commerce**: Validate full cart content right before purchasing to avoid buying unnecessary items --- * Start by clearly stating your overall assessment (e.g., "The `CoderAgent` successfully...", "The `CoderAgent` encountered an error..."). * Provide concrete details from the `Agent History` and `Coder Agent Output` to support your analysis. * Conclude with a clear strategic directive for the next action, or a statement that the task is complete. --- ### Final Output to the User: You must then **provide a clear, concise, and structured summary directly to the user as your final output for this turn.** This final output should encompass: 1. **Overall Status/Analysis** of the recent `CoderAgent` execution in relation to the **Current Task**, including any skeptical considerations. 2. **Summary of Progress** made so far on the **Current Task**. 3. **Strategic Recommendation** for the next steps or confirmation of task completion for the **Current Task**. Your turn: Analyze the provided current task, history, and outputs, and finally, present your consolidated guidance and summary as the final output. {% if instructions -%} ## Special Instructions {{ instructions }} {%- endif %} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/prompts/reflection_user.jinja2 ================================================ **Current Task**: {{current_task}} **Agent History**: {{agent_history}} **Shortlister Agent Output**: {{shortlister_agent_output}} **Coder Agent Output**: {{coder_agent_output}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/prompts/summary_system.jinja2 ================================================ Here are the corrected examples with proper input/output format: ## Example Summaries with Variable Values **Example 1: Success with data retrieval** ``` Input: api_calling_plan: Retrieve user profile for ID 12345 execution_output: GET /users/12345 - Status 200 - Response: {"id": 12345, "name": "John Smith", "email": "john@example.com", "status": "active"} variable_preview_output: ## user_profile - Type: dict - Items: 4 - Description: User profile data - Created: 2025-06-20 10:30:15 - Value Preview: {"id": 12345, "name": "John Smith", "email": "john@example.com", "status": "active"} Output: Retrieved user profile data (stored in `user_profile`): ```json {"id": 12345, "name": "John Smith", "email": "john@example.com", "status": "active"} ``` ``` **Example 2: Success with list data** ``` Input: api_calling_plan: Fetch all products from inventory API execution_output: GET /products - Status 200 - Retrieved 25 products successfully variable_preview_output: ## products_list - Type: list - Items: 25 - Description: Product inventory data - Created: 2025-06-20 10:32:41 - Value Preview: [{"id": 1, "name": "Widget A", "price": 29.99}, {"id": 2, "name": "Widget B", "price": 39.99}, ...] Output: Fetched 25 product records (stored in `products_list`). Sample data: ```json [{"id": 1, "name": "Widget A", "price": 29.99}, {"id": 2, "name": "Widget B", "price": 39.99}] ``` ``` **Example 3: Partial failure** ``` Input: api_calling_plan: Get customer data and update dashboard execution_output: GET /customers - Status 200 - 150 records retrieved | POST /dashboard - Status 429 - Rate limit exceeded variable_preview_output: ## customer_info - Type: list - Items: 150 - Description: Customer records - Created: 2025-06-20 10:35:12 - Value Preview: [{"id": 1001, "name": "Alice Johnson", "tier": "premium"}, ...] ## stats_summary - Type: dict - Items: 3 - Description: Customer statistics - Created: 2025-06-20 10:35:15 - Value Preview: {"total_customers": 150, "active_customers": 142, "average_age": 34.2} Output: Successfully retrieved customer data (`customer_info` contains 150 records) and created summary statistics (`stats_summary`): ```json {"total_customers": 150, "active_customers": 142, "average_age": 34.2} ``` But failed to update the dashboard due to API rate limits. ``` **Example 4: Complete failure** ``` Input: api_calling_plan: Connect to database and retrieve sales data execution_output: ERROR: Database connection timeout after 30 seconds - no data retrieved variable_preview_output: (no variables created) Output: Database connection timeout - no data retrieved. ``` ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/prompts/summary_user.jinja2 ================================================ *api_calling_plan*: {{api_calling_plan}} *execution_output*: {{execution_output}} **variable_preview_output**: {{variable_summary}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/reflection.py ================================================ from langchain_core.runnables import Runnable from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple llm_manager = LLMManager() def reflection_task(llm, enable_format=False) -> Runnable: prompt_template = load_prompt_simple( "./prompts/reflection_system.jinja2", "./prompts/reflection_user.jinja2", ) return BaseAgent.get_chain(prompt_template, llm, wx_json_mode="no_format") ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/tasks/summarize_code.py ================================================ from langchain_core.runnables import Runnable from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple llm_manager = LLMManager() def summarize_steps(llm, enable_format=False) -> Runnable: prompt_template = load_prompt_simple( "./prompts/summary_system.jinja2", "./prompts/summary_user.jinja2", ) return BaseAgent.get_chain(prompt_template, llm, wx_json_mode="no_format") ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/variables_manager/tests/__init__.py ================================================ # Tests for variables_manager module ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/variables_manager/tests/data.json ================================================ {"data": "{\"code\":\"```python\\nimport json\\n\\nresponse = call_api(\\\"digital_sales\\\", \\\"digital_sales_get_my_accounts_getmyaccounts_get\\\", {})\\nif isinstance(response, dict) and response.get(\\\"status\\\") == \\\"exception\\\":\\n accounts = []\\nelse:\\n accounts = response.get(\\\"accounts\\\", [])\\n\\ntotal_count = len(accounts)\\n\\nprint(json.dumps({\\n \\\"variable_name\\\": \\\"user_accounts_summary\\\",\\n \\\"description\\\": \\\"List of user accounts and total count\\\",\\n \\\"value\\\": {\\n \\\"accounts\\\": accounts,\\n \\\"total_count\\\": total_count\\n }\\n}))\\n```\",\"execution_output\":\"{\\\"variable_name\\\": \\\"user_accounts_summary\\\", \\\"description\\\": \\\"List of user accounts and total count\\\", \\\"value\\\": {\\\"accounts\\\": [{\\\"id\\\": \\\"acc_1\\\", \\\"name\\\": \\\"Quantum Solutions\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 8200000}, {\\\"id\\\": \\\"acc_2\\\", \\\"name\\\": \\\"Apex Industries\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 1200000}, {\\\"id\\\": \\\"acc_3\\\", \\\"name\\\": \\\"Starlight Corp\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 300000}, {\\\"id\\\": \\\"acc_4\\\", \\\"name\\\": \\\"Phoenix Holdings\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9500000}, {\\\"id\\\": \\\"acc_5\\\", \\\"name\\\": \\\"Meridian Enterprises\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 750000}, {\\\"id\\\": \\\"acc_6\\\", \\\"name\\\": \\\"Zenith Group\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 4500000}, {\\\"id\\\": \\\"acc_7\\\", \\\"name\\\": \\\"Silverline Systems\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 6800000}, {\\\"id\\\": \\\"acc_8\\\", \\\"name\\\": \\\"Frontier Tech\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 2100000}, {\\\"id\\\": \\\"acc_9\\\", \\\"name\\\": \\\"Evergreen LLC\\\", \\\"state\\\": \\\"OR\\\", \\\"revenue\\\": 900000}, {\\\"id\\\": \\\"acc_10\\\", \\\"name\\\": \\\"Innovate Inc.\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 5500000}, {\\\"id\\\": \\\"acc_11\\\", \\\"name\\\": \\\"Data Flow Inc.\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 7100000}, {\\\"id\\\": \\\"acc_12\\\", \\\"name\\\": \\\"Cloud Sphere LLC\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 4300000}, {\\\"id\\\": \\\"acc_13\\\", \\\"name\\\": \\\"Net Weavers Corp\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 2200000}, {\\\"id\\\": \\\"acc_14\\\", \\\"name\\\": \\\"Info Stream Tech\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 8900000}, {\\\"id\\\": \\\"acc_15\\\", \\\"name\\\": \\\"Global Reach Inc.\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 1500000}, {\\\"id\\\": \\\"acc_16\\\", \\\"name\\\": \\\"Terra Firm Ltd.\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 3200000}, {\\\"id\\\": \\\"acc_17\\\", \\\"name\\\": \\\"Blue Ocean Co.\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 6200000}, {\\\"id\\\": \\\"acc_18\\\", \\\"name\\\": \\\"Red River LLC\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 500000}, {\\\"id\\\": \\\"acc_19\\\", \\\"name\\\": \\\"Golden Gate Group\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9800000}, {\\\"id\\\": \\\"acc_20\\\", \\\"name\\\": \\\"Keystone Industries\\\", \\\"state\\\": \\\"PA\\\", \\\"revenue\\\": 3400000}, {\\\"id\\\": \\\"acc_21\\\", \\\"name\\\": \\\"Sunbeam Systems\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 1800000}, {\\\"id\\\": \\\"acc_22\\\", \\\"name\\\": \\\"Crystal Clear Co.\\\", \\\"state\\\": \\\"AZ\\\", \\\"revenue\\\": 2900000}, {\\\"id\\\": \\\"acc_23\\\", \\\"name\\\": \\\"Summit Strategies\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 5300000}, {\\\"id\\\": \\\"acc_24\\\", \\\"name\\\": \\\"North Star Ent.\\\", \\\"state\\\": \\\"MN\\\", \\\"revenue\\\": 4100000}, {\\\"id\\\": \\\"acc_25\\\", \\\"name\\\": \\\"Alpha Wave Tech\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 7600000}, {\\\"id\\\": \\\"acc_26\\\", \\\"name\\\": \\\"Omega Solutions\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 8300000}, {\\\"id\\\": \\\"acc_27\\\", \\\"name\\\": \\\"Delta Force Inc.\\\", \\\"state\\\": \\\"GA\\\", \\\"revenue\\\": 2700000}, {\\\"id\\\": \\\"acc_28\\\", \\\"name\\\": \\\"Gamma Ray Group\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 6400000}, {\\\"id\\\": \\\"acc_29\\\", \\\"name\\\": \\\"Echo Labs\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 4900000}, {\\\"id\\\": \\\"acc_30\\\", \\\"name\\\": \\\"Bravo Corp\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 1100000}, {\\\"id\\\": \\\"acc_31\\\", \\\"name\\\": \\\"Momentum Machines\\\", \\\"state\\\": \\\"MI\\\", \\\"revenue\\\": 3800000}, {\\\"id\\\": \\\"acc_32\\\", \\\"name\\\": \\\"Velocity Ventures\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 5900000}, {\\\"id\\\": \\\"acc_33\\\", \\\"name\\\": \\\"Pinnacle Partners\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 7200000}, {\\\"id\\\": \\\"acc_34\\\", \\\"name\\\": \\\"Horizon Holdings\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 2400000}, {\\\"id\\\": \\\"acc_35\\\", \\\"name\\\": \\\"Catalyst Creations\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 8800000}, {\\\"id\\\": \\\"acc_36\\\", \\\"name\\\": \\\"Synergy Systems\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 6700000}, {\\\"id\\\": \\\"acc_37\\\", \\\"name\\\": \\\"Vanguard Vision\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 3300000}, {\\\"id\\\": \\\"acc_38\\\", \\\"name\\\": \\\"Triton Tech\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 5100000}, {\\\"id\\\": \\\"acc_39\\\", \\\"name\\\": \\\"Orion Operations\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 2600000}, {\\\"id\\\": \\\"acc_40\\\", \\\"name\\\": \\\"Helios Holdings\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 400000}, {\\\"id\\\": \\\"acc_41\\\", \\\"name\\\": \\\"Titan Industries\\\", \\\"state\\\": \\\"MI\\\", \\\"revenue\\\": 4800000}, {\\\"id\\\": \\\"acc_42\\\", \\\"name\\\": \\\"Matrix Methods\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 7900000}, {\\\"id\\\": \\\"acc_43\\\", \\\"name\\\": \\\"Vertex Ventures\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9200000}, {\\\"id\\\": \\\"acc_44\\\", \\\"name\\\": \\\"Nexus Networks\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 6100000}, {\\\"id\\\": \\\"acc_45\\\", \\\"name\\\": \\\"Spectrum Solutions\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 1700000}, {\\\"id\\\": \\\"acc_46\\\", \\\"name\\\": \\\"Polaris Projects\\\", \\\"state\\\": \\\"MN\\\", \\\"revenue\\\": 3600000}, {\\\"id\\\": \\\"acc_47\\\", \\\"name\\\": \\\"Quasar Queries\\\", \\\"state\\\": \\\"AZ\\\", \\\"revenue\\\": 2300000}, {\\\"id\\\": \\\"acc_48\\\", \\\"name\\\": \\\"Stellar Systems\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 5800000}, {\\\"id\\\": \\\"acc_49\\\", \\\"name\\\": \\\"Nebula Networks\\\", \\\"state\\\": \\\"OR\\\", \\\"revenue\\\": 850000}, {\\\"id\\\": \\\"acc_50\\\", \\\"name\\\": \\\"Andromeda Inc.\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9700000}, {\\\"id\\\": \\\"acc_51\\\", \\\"name\\\": \\\"Cosmos Creations\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 7400000}, {\\\"id\\\": \\\"acc_52\\\", \\\"name\\\": \\\"Galaxy Group\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 1300000}, {\\\"id\\\": \\\"acc_53\\\", \\\"name\\\": \\\"Supernova Systems\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 3000000}, {\\\"id\\\": \\\"acc_54\\\", \\\"name\\\": \\\"Blackhole Co.\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 6900000}, {\\\"id\\\": \\\"acc_55\\\", \\\"name\\\": \\\"Rocket Corp\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 2000000}, {\\\"id\\\": \\\"acc_56\\\", \\\"name\\\": \\\"Comet Co.\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 1400000}, {\\\"id\\\": \\\"acc_57\\\", \\\"name\\\": \\\"Meteorite Methods\\\", \\\"state\\\": \\\"AZ\\\", \\\"revenue\\\": 950000}, {\\\"id\\\": \\\"acc_58\\\", \\\"name\\\": \\\"Asteroid Ventures\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 3700000}, {\\\"id\\\": \\\"acc_59\\\", \\\"name\\\": \\\"Planet Partners\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 8100000}, {\\\"id\\\": \\\"acc_60\\\", \\\"name\\\": \\\"Starship Systems\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 5600000}, {\\\"id\\\": \\\"acc_61\\\", \\\"name\\\": \\\"Warp Drive Inc.\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 4200000}, {\\\"id\\\": \\\"acc_62\\\", \\\"name\\\": \\\"Teleport Tech\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 7700000}, {\\\"id\\\": \\\"acc_63\\\", \\\"name\\\": \\\"Time Travel Co.\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 6300000}, {\\\"id\\\": \\\"acc_64\\\", \\\"name\\\": \\\"Future Forward\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 9000000}, {\\\"id\\\": \\\"acc_65\\\", \\\"name\\\": \\\"Next Gen Group\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 4700000}, {\\\"id\\\": \\\"acc_66\\\", \\\"name\\\": \\\"Legacy Labs\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 800000}, {\\\"id\\\": \\\"acc_67\\\", \\\"name\\\": \\\"Tradition Tech\\\", \\\"state\\\": \\\"PA\\\", \\\"revenue\\\": 2500000}, {\\\"id\\\": \\\"acc_68\\\", \\\"name\\\": \\\"Old School Systems\\\", \\\"state\\\": \\\"OH\\\", \\\"revenue\\\": 1900000}, {\\\"id\\\": \\\"acc_69\\\", \\\"name\\\": \\\"Heritage Holdings\\\", \\\"state\\\": \\\"GA\\\", \\\"revenue\\\": 3100000}, {\\\"id\\\": \\\"acc_70\\\", \\\"name\\\": \\\"Pioneer Partners\\\", \\\"state\\\": \\\"OR\\\", \\\"revenue\\\": 700000}, {\\\"id\\\": \\\"acc_71\\\", \\\"name\\\": \\\"Settler Solutions\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 1600000}, {\\\"id\\\": \\\"acc_72\\\", \\\"name\\\": \\\"Homestead Inc.\\\", \\\"state\\\": \\\"MN\\\", \\\"revenue\\\": 4400000}, {\\\"id\\\": \\\"acc_73\\\", \\\"name\\\": \\\"Frontier Flow\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 5200000}, {\\\"id\\\": \\\"acc_74\\\", \\\"name\\\": \\\"Wild West Web\\\", \\\"state\\\": \\\"AZ\\\", \\\"revenue\\\": 600000}, {\\\"id\\\": \\\"acc_75\\\", \\\"name\\\": \\\"Gold Rush Group\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9999999}, {\\\"id\\\": \\\"acc_76\\\", \\\"name\\\": \\\"Silicon Valley Co.\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9400000}, {\\\"id\\\": \\\"acc_77\\\", \\\"name\\\": \\\"Route 66 Systems\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 3900000}, {\\\"id\\\": \\\"acc_78\\\", \\\"name\\\": \\\"Big Apple Biz\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 8600000}, {\\\"id\\\": \\\"acc_79\\\", \\\"name\\\": \\\"Lone Star Logic\\\", \\\"state\\\": \\\"TX\\\", \\\"revenue\\\": 9300000}, {\\\"id\\\": \\\"acc_80\\\", \\\"name\\\": \\\"Sunshine State Co.\\\", \\\"state\\\": \\\"FL\\\", \\\"revenue\\\": 2800000}, {\\\"id\\\": \\\"acc_81\\\", \\\"name\\\": \\\"Windy City Web\\\", \\\"state\\\": \\\"IL\\\", \\\"revenue\\\": 6600000}, {\\\"id\\\": \\\"acc_82\\\", \\\"name\\\": \\\"Badger State Biz\\\", \\\"state\\\": \\\"WI\\\", \\\"revenue\\\": 3500000}, {\\\"id\\\": \\\"acc_83\\\", \\\"name\\\": \\\"Wolverine Web\\\", \\\"state\\\": \\\"MI\\\", \\\"revenue\\\": 4600000}, {\\\"id\\\": \\\"acc_84\\\", \\\"name\\\": \\\"Buckeye Biz\\\", \\\"state\\\": \\\"OH\\\", \\\"revenue\\\": 2000000}, {\\\"id\\\": \\\"acc_85\\\", \\\"name\\\": \\\"Empire State Ent.\\\", \\\"state\\\": \\\"NY\\\", \\\"revenue\\\": 8400000}, {\\\"id\\\": \\\"acc_86\\\", \\\"name\\\": \\\"Golden State Group\\\", \\\"state\\\": \\\"CA\\\", \\\"revenue\\\": 9600000}, {\\\"id\\\": \\\"acc_87\\\", \\\"name\\\": \\\"Evergreen Ent.\\\", \\\"state\\\": \\\"WA\\\", \\\"revenue\\\": 5400000}, {\\\"id\\\": \\\"acc_88\\\", \\\"name\\\": \\\"Centennial Co.\\\", \\\"state\\\": \\\"CO\\\", \\\"revenue\\\": 2200000}, {\\\"id\\\": \\\"acc_89\\\", \\\"name\\\": \\\"Beaver State Biz\\\", \\\"state\\\": \\\"OR\\\", \\\"revenue\\\": 1000000}, {\\\"id\\\": \\\"acc_90\\\", \\\"name\\\": \\\"Grand Canyon Group\\\", \\\"state\\\": \\\"AZ\\\", \\\"revenue\\\": 1200000}, {\\\"id\\\": \\\"acc_91\\\", \\\"name\\\": \\\"Silver State Systems\\\", \\\"state\\\": \\\"NV\\\", \\\"revenue\\\": 1800000}, {\\\"id\\\": \\\"acc_92\\\", \\\"name\\\": \\\"Beehive Biz\\\", \\\"state\\\": \\\"UT\\\", \\\"revenue\\\": 1500000}, {\\\"id\\\": \\\"acc_93\\\", \\\"name\\\": \\\"Gem State Group\\\", \\\"state\\\": \\\"ID\\\", \\\"revenue\\\": 1100000}, {\\\"id\\\": \\\"acc_94\\\", \\\"name\\\": \\\"Big Sky Biz\\\", \\\"state\\\": \\\"MT\\\", \\\"revenue\\\": 900000}, {\\\"id\\\": \\\"acc_95\\\", \\\"name\\\": \\\"Equality State Ent.\\\", \\\"state\\\": \\\"WY\\\", \\\"revenue\\\": 700000}, {\\\"id\\\": \\\"acc_96\\\", \\\"name\\\": \\\"Cornhusker Co.\\\", \\\"state\\\": \\\"NE\\\", \\\"revenue\\\": 1400000}, {\\\"id\\\": \\\"acc_97\\\", \\\"name\\\": \\\"Sunflower State\\\", \\\"state\\\": \\\"KS\\\", \\\"revenue\\\": 1300000}, {\\\"id\\\": \\\"acc_98\\\", \\\"name\\\": \\\"Sooner State\\\", \\\"state\\\": \\\"OK\\\", \\\"revenue\\\": 1700000}, {\\\"id\\\": \\\"acc_99\\\", \\\"name\\\": \\\"Show Me Systems\\\", \\\"state\\\": \\\"MO\\\", \\\"revenue\\\": 2100000}, {\\\"id\\\": \\\"acc_100\\\", \\\"name\\\": \\\"Hawkeye Holdings\\\", \\\"state\\\": \\\"IA\\\", \\\"revenue\\\": 1900000}, {\\\"id\\\": \\\"acc_101\\\", \\\"name\\\": \\\"North Star Inc.\\\", \\\"state\\\": \\\"MN\\\", \\\"revenue\\\": 2300000}], \\\"total_count\\\": 101}}\\n\",\"steps_summary\":[\"\"],\"summary\":\"The output of code stored in variable user_accounts_summary - List of user accounts and total count\",\"variables\":{\"variable_name\":\"user_accounts_summary\",\"description\":\"List of user accounts and total count\",\"value\":{\"accounts\":[{\"id\":\"acc_1\",\"name\":\"Quantum 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Holdings\",\"state\":\"FL\",\"revenue\":2400000},{\"id\":\"acc_35\",\"name\":\"Catalyst Creations\",\"state\":\"CA\",\"revenue\":8800000},{\"id\":\"acc_36\",\"name\":\"Synergy Systems\",\"state\":\"TX\",\"revenue\":6700000},{\"id\":\"acc_37\",\"name\":\"Vanguard Vision\",\"state\":\"NY\",\"revenue\":3300000},{\"id\":\"acc_38\",\"name\":\"Triton Tech\",\"state\":\"WA\",\"revenue\":5100000},{\"id\":\"acc_39\",\"name\":\"Orion Operations\",\"state\":\"CO\",\"revenue\":2600000},{\"id\":\"acc_40\",\"name\":\"Helios Holdings\",\"state\":\"FL\",\"revenue\":400000},{\"id\":\"acc_41\",\"name\":\"Titan Industries\",\"state\":\"MI\",\"revenue\":4800000},{\"id\":\"acc_42\",\"name\":\"Matrix Methods\",\"state\":\"IL\",\"revenue\":7900000},{\"id\":\"acc_43\",\"name\":\"Vertex Ventures\",\"state\":\"CA\",\"revenue\":9200000},{\"id\":\"acc_44\",\"name\":\"Nexus Networks\",\"state\":\"TX\",\"revenue\":6100000},{\"id\":\"acc_45\",\"name\":\"Spectrum Solutions\",\"state\":\"NY\",\"revenue\":1700000},{\"id\":\"acc_46\",\"name\":\"Polaris Projects\",\"state\":\"MN\",\"revenue\":3600000},{\"id\":\"acc_47\",\"name\":\"Quasar Queries\",\"state\":\"AZ\",\"revenue\":2300000},{\"id\":\"acc_48\",\"name\":\"Stellar Systems\",\"state\":\"WA\",\"revenue\":5800000},{\"id\":\"acc_49\",\"name\":\"Nebula Networks\",\"state\":\"OR\",\"revenue\":850000},{\"id\":\"acc_50\",\"name\":\"Andromeda Inc.\",\"state\":\"CA\",\"revenue\":9700000},{\"id\":\"acc_51\",\"name\":\"Cosmos Creations\",\"state\":\"TX\",\"revenue\":7400000},{\"id\":\"acc_52\",\"name\":\"Galaxy Group\",\"state\":\"FL\",\"revenue\":1300000},{\"id\":\"acc_53\",\"name\":\"Supernova Systems\",\"state\":\"NY\",\"revenue\":3000000},{\"id\":\"acc_54\",\"name\":\"Blackhole Co.\",\"state\":\"IL\",\"revenue\":6900000},{\"id\":\"acc_55\",\"name\":\"Rocket Corp\",\"state\":\"FL\",\"revenue\":2000000},{\"id\":\"acc_56\",\"name\":\"Comet Co.\",\"state\":\"CO\",\"revenue\":1400000},{\"id\":\"acc_57\",\"name\":\"Meteorite Methods\",\"state\":\"AZ\",\"revenue\":950000},{\"id\":\"acc_58\",\"name\":\"Asteroid Ventures\",\"state\":\"TX\",\"revenue\":3700000},{\"id\":\"acc_59\",\"name\":\"Planet Partners\",\"state\":\"CA\",\"revenue\":8100000},{\"id\":\"acc_60\",\"name\":\"Starship Systems\",\"state\":\"WA\",\"revenue\":5600000},{\"id\":\"acc_61\",\"name\":\"Warp Drive Inc.\",\"state\":\"NY\",\"revenue\":4200000},{\"id\":\"acc_62\",\"name\":\"Teleport Tech\",\"state\":\"CA\",\"revenue\":7700000},{\"id\":\"acc_63\",\"name\":\"Time Travel Co.\",\"state\":\"IL\",\"revenue\":6300000},{\"id\":\"acc_64\",\"name\":\"Future Forward\",\"state\":\"TX\",\"revenue\":9000000},{\"id\":\"acc_65\",\"name\":\"Next Gen Group\",\"state\":\"WA\",\"revenue\":4700000},{\"id\":\"acc_66\",\"name\":\"Legacy Labs\",\"state\":\"NY\",\"revenue\":800000},{\"id\":\"acc_67\",\"name\":\"Tradition Tech\",\"state\":\"PA\",\"revenue\":2500000},{\"id\":\"acc_68\",\"name\":\"Old School Systems\",\"state\":\"OH\",\"revenue\":1900000},{\"id\":\"acc_69\",\"name\":\"Heritage Holdings\",\"state\":\"GA\",\"revenue\":3100000},{\"id\":\"acc_70\",\"name\":\"Pioneer Partners\",\"state\":\"OR\",\"revenue\":700000},{\"id\":\"acc_71\",\"name\":\"Settler Solutions\",\"state\":\"CO\",\"revenue\":1600000},{\"id\":\"acc_72\",\"name\":\"Homestead Inc.\",\"state\":\"MN\",\"revenue\":4400000},{\"id\":\"acc_73\",\"name\":\"Frontier Flow\",\"state\":\"TX\",\"revenue\":5200000},{\"id\":\"acc_74\",\"name\":\"Wild West Web\",\"state\":\"AZ\",\"revenue\":600000},{\"id\":\"acc_75\",\"name\":\"Gold Rush Group\",\"state\":\"CA\",\"revenue\":9999999},{\"id\":\"acc_76\",\"name\":\"Silicon Valley Co.\",\"state\":\"CA\",\"revenue\":9400000},{\"id\":\"acc_77\",\"name\":\"Route 66 Systems\",\"state\":\"IL\",\"revenue\":3900000},{\"id\":\"acc_78\",\"name\":\"Big Apple Biz\",\"state\":\"NY\",\"revenue\":8600000},{\"id\":\"acc_79\",\"name\":\"Lone Star Logic\",\"state\":\"TX\",\"revenue\":9300000},{\"id\":\"acc_80\",\"name\":\"Sunshine State Co.\",\"state\":\"FL\",\"revenue\":2800000},{\"id\":\"acc_81\",\"name\":\"Windy City Web\",\"state\":\"IL\",\"revenue\":6600000},{\"id\":\"acc_82\",\"name\":\"Badger State Biz\",\"state\":\"WI\",\"revenue\":3500000},{\"id\":\"acc_83\",\"name\":\"Wolverine Web\",\"state\":\"MI\",\"revenue\":4600000},{\"id\":\"acc_84\",\"name\":\"Buckeye Biz\",\"state\":\"OH\",\"revenue\":2000000},{\"id\":\"acc_85\",\"name\":\"Empire State Ent.\",\"state\":\"NY\",\"revenue\":8400000},{\"id\":\"acc_86\",\"name\":\"Golden State Group\",\"state\":\"CA\",\"revenue\":9600000},{\"id\":\"acc_87\",\"name\":\"Evergreen Ent.\",\"state\":\"WA\",\"revenue\":5400000},{\"id\":\"acc_88\",\"name\":\"Centennial Co.\",\"state\":\"CO\",\"revenue\":2200000},{\"id\":\"acc_89\",\"name\":\"Beaver State Biz\",\"state\":\"OR\",\"revenue\":1000000},{\"id\":\"acc_90\",\"name\":\"Grand Canyon Group\",\"state\":\"AZ\",\"revenue\":1200000},{\"id\":\"acc_91\",\"name\":\"Silver State Systems\",\"state\":\"NV\",\"revenue\":1800000},{\"id\":\"acc_92\",\"name\":\"Beehive Biz\",\"state\":\"UT\",\"revenue\":1500000},{\"id\":\"acc_93\",\"name\":\"Gem State Group\",\"state\":\"ID\",\"revenue\":1100000},{\"id\":\"acc_94\",\"name\":\"Big Sky Biz\",\"state\":\"MT\",\"revenue\":900000},{\"id\":\"acc_95\",\"name\":\"Equality State Ent.\",\"state\":\"WY\",\"revenue\":700000},{\"id\":\"acc_96\",\"name\":\"Cornhusker Co.\",\"state\":\"NE\",\"revenue\":1400000},{\"id\":\"acc_97\",\"name\":\"Sunflower State\",\"state\":\"KS\",\"revenue\":1300000},{\"id\":\"acc_98\",\"name\":\"Sooner State\",\"state\":\"OK\",\"revenue\":1700000},{\"id\":\"acc_99\",\"name\":\"Show Me Systems\",\"state\":\"MO\",\"revenue\":2100000},{\"id\":\"acc_100\",\"name\":\"Hawkeye Holdings\",\"state\":\"IA\",\"revenue\":1900000},{\"id\":\"acc_101\",\"name\":\"North Star Inc.\",\"state\":\"MN\",\"revenue\":2300000}],\"total_count\":101}}}"} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/variables_manager/tests/test_manager.py ================================================ from cuga.backend.cuga_graph.state.agent_state import VariablesManager class TestVariablesManager: """Test suite for VariablesManager functionality.""" def test_independent_instances(self): """Test that VariablesManager instances are independent (not singletons).""" vm1 = VariablesManager() vm2 = VariablesManager() assert vm1 is not vm2, "VariablesManager should create independent instances" # Verify they have separate state vm1.add_variable("value1", name="var1") vm2.add_variable("value2", name="var2") assert vm1.get_variable_count() == 1 assert vm2.get_variable_count() == 1 assert vm1.get_variable("var1") == "value1" assert vm2.get_variable("var2") == "value2" assert vm1.get_variable("var2") is None # vm1 doesn't have var2 assert vm2.get_variable("var1") is None # vm2 doesn't have var1 def test_add_variable_with_description(self): """Test adding variables with descriptions.""" vm = VariablesManager() vm.reset() # Start with clean state # Test various data types with descriptions var1_name = vm.add_variable("Hello World", description="A simple greeting message") var2_name = vm.add_variable([1, 2, 3, 4, True, False], description="List with booleans") var3_name = vm.add_variable( {"key": "value", "active": True, "disabled": False}, "custom_var", "Dict with booleans" ) var4_name = vm.add_variable(True, description="A standalone boolean") var5_name = vm.add_variable( {"nested": {"flag": True, "items": [False, True]}}, description="Nested structure with booleans" ) var6_name = vm.add_variable(123, description="An integer variable") var7_name = vm.add_variable(3.14, description="A float variable") # Verify variables were added assert vm.get_variable_count() == 7 assert vm.get_variable(var1_name) == "Hello World" assert vm.get_variable(var2_name) == [1, 2, 3, 4, True, False] assert vm.get_variable(var3_name) == {"key": "value", "active": True, "disabled": False} assert vm.get_variable(var4_name) is True assert vm.get_variable(var5_name) == {"nested": {"flag": True, "items": [False, True]}} assert vm.get_variable(var6_name) == 123 assert vm.get_variable(var7_name) == 3.14 def test_last_n_variables_functionality(self): """Test the last_n functionality for variables summary and names.""" vm = VariablesManager() vm.reset() # Add multiple variables vars_added = [] for i in range(7): var_name = vm.add_variable(f"value_{i}", description=f"Variable {i}") vars_added.append(var_name) # Test get_variables_summary with last_n summary_last_3 = vm.get_variables_summary(last_n=3) assert "value_4" in summary_last_3 assert "value_5" in summary_last_3 assert "value_6" in summary_last_3 # Should not contain earlier variables assert "value_0" not in summary_last_3 assert "value_1" not in summary_last_3 summary_last_2 = vm.get_variables_summary(last_n=2) assert "value_5" in summary_last_2 assert "value_6" in summary_last_2 assert "value_4" not in summary_last_2 # Test edge case: more variables requested than exist summary_last_10 = vm.get_variables_summary(last_n=10) # Should return all variables for i in range(7): assert f"value_{i}" in summary_last_10 # Test edge case: invalid last_n summary_invalid = vm.get_variables_summary(last_n=0) assert "Invalid last_n value" in summary_invalid # Test get_last_n_variable_names last_3_names = vm.get_last_n_variable_names(3) expected_names = [vars_added[-3], vars_added[-2], vars_added[-1]] assert last_3_names == expected_names def test_variable_formatting(self): """Test variable formatting methods.""" vm = VariablesManager() vm.reset() vm.add_variable("test_string", description="Test string") vm.add_variable({"key": "value"}, description="Test dict") # Test Python format formatted = vm.get_variables_formatted() assert "test_string" in formatted assert "'key': 'value'" in formatted # Test JSON format (actually returns formatted Python code with JSON values) json_str = vm.get_variables_as_json() assert "test_string" in json_str assert '"test_string"' in json_str # JSON-encoded string assert '"key": "value"' in json_str # JSON-encoded dict def test_variables_summary_with_metadata(self): """Test variables summary with metadata.""" vm = VariablesManager() vm.reset() vm.add_variable("test_value", description="Test description") summary = vm.get_variables_summary() assert "test_value" in summary assert "Test description" in summary def test_boolean_handling(self): """Test specific boolean value handling.""" vm = VariablesManager() vm.reset() var_bool = vm.add_variable(True, description="Standalone boolean") var_list = vm.add_variable([1, 2, True, False], description="List with booleans") var_dict = vm.add_variable({"active": True, "disabled": False}, description="Dict with booleans") # Verify boolean values are preserved assert vm.get_variable(var_bool) is True assert vm.get_variable(var_list) == [1, 2, True, False] assert vm.get_variable(var_dict) == {"active": True, "disabled": False} def test_reset_keep_last_n_functionality(self): """Test the reset_keep_last_n functionality.""" vm = VariablesManager() vm.reset() # Add initial variables initial_vars = [] for i in range(7): var_name = vm.add_variable(f"initial_{i}", description=f"Initial variable {i}") initial_vars.append(var_name) initial_count = vm.get_variable_count() assert initial_count == 7 # Keep the last 3 variables vm.reset_keep_last_n(3) assert vm.get_variable_count() == 3 # Verify only last 3 variables remain remaining_vars = vm.get_last_n_variable_names(3) expected_remaining = initial_vars[-3:] assert remaining_vars == expected_remaining # Verify creation order is updated assert len(vm._creation_order) == 3 assert vm._creation_order == expected_remaining # Add new variables and verify auto-generation works new_var1 = vm.add_variable("new_value_1", description="New variable after reset") new_var2 = vm.add_variable("new_value_2", description="Another new variable") assert vm.get_variable_count() == 5 assert vm.get_variable(new_var1) == "new_value_1" assert vm.get_variable(new_var2) == "new_value_2" # Verify creation order includes new variables assert len(vm._creation_order) == 5 assert vm._creation_order[-2:] == [new_var1, new_var2] def test_reset_keep_last_n_edge_cases(self): """Test edge cases for reset_keep_last_n.""" vm = VariablesManager() vm.reset() # Add some variables vm.add_variable("a") vm.add_variable("b") vm.add_variable("c") # Test keeping 0 variables vm.reset_keep_last_n(0) assert vm.get_variable_count() == 0 assert len(vm._creation_order) == 0 # Verify adding new variables still works after keeping 0 new_var = vm.add_variable("after_zero_reset") assert vm.get_variable_count() == 1 assert vm.get_variable(new_var) == "after_zero_reset" def test_reset_functionality(self): """Test the reset functionality.""" vm = VariablesManager() vm.reset() # Add some variables vm.add_variable("test1") vm.add_variable("test2") assert vm.get_variable_count() == 2 # Reset and verify vm.reset() assert vm.get_variable_count() == 0 ================================================ FILE: src/cuga/backend/cuga_graph/nodes/api/variables_manager/tests/test_value_preview.py ================================================ import os import json import re from cuga.backend.cuga_graph.state.agent_state import VariablesManager def extract_preview_for(vm: VariablesManager, name: str, max_length: int = 5000) -> str: summary = vm.get_variables_summary(max_length=max_length) pattern = rf"## {re.escape(name)}[\s\S]*?\n- Value Preview: (.*)\n" match = re.search(pattern, summary) assert match, f"Could not find preview for {name}. Summary was: {summary}" return match.group(1) def test_preview_long_string_truncated(): vm = VariablesManager() vm.reset() # Create a string long enough to exceed max_length (5000) long_str = "x" * 6000 name = vm.add_variable(long_str, description="very long string") preview = extract_preview_for(vm, name, max_length=1000) # Use smaller max_length to force truncation assert "..." in preview assert len(preview) <= 1000 def test_preview_long_list_truncated_items(): vm = VariablesManager() vm.reset() # Create a list large enough that it will be truncated with smaller max_length long_list = [f"item_{i}" * 10 for i in range(100)] # Much longer items name = vm.add_variable(long_list, description="long list") preview = extract_preview_for(vm, name, max_length=500) # Use smaller max_length assert "(+" in preview and " more)" in preview def test_preview_nested_dict_preserves_keys_and_truncates_arrays(): vm = VariablesManager() vm.reset() value = { "users": [{"id": i, "name": f"User {i}"} for i in range(20)], # Smaller but still large enough "meta": {"page": 1, "page_size": 50}, } name = vm.add_variable(value, description="nested dict with long list") preview = extract_preview_for(vm, name, max_length=200) # Use smaller max_length to force truncation # Should at least preserve some structure and show truncation assert "users" in preview # At least the key should be visible assert "..." in preview or "more)" in preview # Some form of truncation def test_preview_deep_nesting_shows_full_when_fits(): vm = VariablesManager() vm.reset() deep = {"a": {"b": {"c": {"d": {"e": [1, 2, 3]}}}}} name = vm.add_variable(deep, description="deep nested") preview = extract_preview_for(vm, name) # Should show the full structure since it's small enough to fit assert "'a': {'b': {'c': {'d': {'e': [1, 2, 3]}}}}" in preview assert "..." not in preview def test_preview_extremely_deep_nesting_capped(): vm = VariablesManager() vm.reset() # Create very deep nesting with large content that should be capped very_deep = { "a": { "b": { "c": { "d": { "e": {"f": {"g": {"h": {"i": {"j": ["very_long_string_" * 50 for _ in range(10)]}}}}} } } } } } name = vm.add_variable(very_deep, description="extremely deep nested") preview = extract_preview_for(vm, name, max_length=1000) # Use smaller max_length # Should be truncated at some point with ellipsis assert "a" in preview assert "b" in preview assert "..." in preview def test_playground_scenario_data_json_integration(): # Test based on playground.py logic data_path = os.path.join(os.path.dirname(__file__), "data.json") with open(data_path, "r") as file: data = json.load(file) # now call variables manager to add the data to the variables manager data = json.loads(data['data']) variable = data['variables'] vm = VariablesManager() vm.add_variable(variable['value'], variable['variable_name'], variable['description']) preview = vm.get_variables_summary() assert "total_count" in preview assert "101" in preview assert len(preview) <= 2000 assert len(preview) >= 1000 ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action.py ================================================ import re from typing import Any, Dict, Union from langchain_core.messages import AIMessage from loguru import logger from cuga.backend.activity_tracker.tracker import ActivityTracker, Step from cuga.backend.cuga_graph.nodes.browser.action_agent.action_agent import ActionAgent from cuga.backend.cuga_graph.nodes.shared.base_node import BaseNode from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.utils.consts import ( ANSWER_KEYS, ARGS_KEY, EMPTY_STATE_ID, FINAL_ANSWER, ID_KEY, NO_BID_ACTIONS, STATE_KEY, UNKNOWN_ID, ) tracker = ActivityTracker() def is_valid_element(element: Any) -> bool: if isinstance(element, int): return True if isinstance(element, str): if element.isdigit(): return True if FINAL_ANSWER in element: return True if re.match(r'^[a-zA-Z]\d+$', element): return True return False def extract_element_predicted(action_state: Union[Dict[str, Any], Any]) -> Any: if isinstance(action_state, dict): try: return next(iter(action_state.values())) except StopIteration: return action_state return action_state def process_element(element: str) -> Union[str, int, None]: # Remove any surrounding brackets, braces, or whitespace element = element.strip('[]{}() \t\n\r') # Check if it's a pure digit if element.isdigit(): return int(element) # Check if it's in the format of a letter followed by digits match = re.match(r'^([a-zA-Z])(\d+)$', element) if match: return f"{match.group(1)}{match.group(2)}" # Check if it contains 'FINAL ANSWER' if 'FINAL ANSWER' in element: return 'FINAL ANSWER' # If we can't process it, return the original element return element def element_fixing_attempt(element: Any) -> Union[str, int, None]: if isinstance(element, (int, str)): return process_element(str(element)) elif isinstance(element, dict): # If it's a dict, try to process the first value try: first_value = next(iter(element.values())) return process_element(str(first_value)) except StopIteration: return None elif isinstance(element, list): # If it's a list, try to process the first item if element: return process_element(str(element[0])) return None def update_call_with_fixed_element(call: Dict[str, Any]) -> Dict[str, Any]: try: if ARGS_KEY in call and isinstance(call[ARGS_KEY], dict): state = call[ARGS_KEY].get(STATE_KEY, {}) if not isinstance(state, dict): call[ARGS_KEY][STATE_KEY] = {ID_KEY: str(state)} elif not state: call[ARGS_KEY][STATE_KEY] = {ID_KEY: EMPTY_STATE_ID} elif ID_KEY not in state: # Try to find an ID-like key or use the first item id_key = next((k for k in state if ID_KEY in k.lower()), None) if id_key: state[ID_KEY] = state.pop(id_key) else: first_key, first_value = next(iter(state.items()), (None, None)) if first_key is not None: state[ID_KEY] = str(first_value) else: state[ID_KEY] = UNKNOWN_ID # Ensure the ID is properly formatted if ID_KEY in state: state[ID_KEY] = element_fixing_attempt(state[ID_KEY]) return call except Exception as e: print(f"Error in update_call_with_fixed_element: {str(e)}") print(f"Call structure: {call}") return call # Return the original call if we can't process it class ActionNode(BaseNode): def __init__(self, action_agent: ActionAgent): super().__init__() self.action_agent = action_agent agent = self.action_agent name = self.action_agent.name def node(state: AgentState) -> AgentState: return ActionNode.node_handler(state, agent=agent, name=name) self.node = node @staticmethod def node_handler(state: AgentState, agent: ActionAgent, name: str) -> AgentState: result: AIMessage = agent.run(state) if not result.tool_calls: logger.warning("No tool calls by action agent") state.sender = name state.messages.append(result) return state for call in result.tool_calls: tracker.collect_step( step=Step( name=name, observation_before=state.elements_as_string, action_type=call["name"], action_args=call["args"], action_formatted="{}({})".format( call["name"], ", ".join(f"{k}={v}" for k, v in call['args'].items()) ), ) ) if call["name"] in NO_BID_ACTIONS: if 'human_in_the_loop' in call["name"]: for key in ANSWER_KEYS: # Added check for 'state' key and create if not present if 'state' not in call["args"]: call["args"]['state'] = {} if key in call["args"]: call["args"]['state'][key] = call["args"].pop(key) if call["name"] == "update_plan": try: if 'state' in call['args']: reason_key = ( 'reason' if 'reason' in call['args']['state'] else next(iter(call['args']['state']), None) ) if reason_key: state.update_plan_reason = call['args']['state'][reason_key] else: logger.warn( f"Warning: No valid reason key found in call['args']['state']: {call['args']['state']}" ) else: reason_key = ( 'reason' if 'reason' in call['args'] else next(iter(call['args']), None) ) if reason_key: state.update_plan_reason = call['args'][reason_key] else: logger.warn( f"Warning: No valid reason key found in call['args']: {call['args']}" ) except Exception as e: logger.error(f"Error in update_plan handling: {str(e)}") logger.error(f"call['args']: {call['args']}") continue # call = update_call_with_fixed_element(call) action_state = call["args"] if call["name"] == "answer": result.content = f"FINAL ANSWER \n {action_state}" state.messages.append(result) state.sender = "END" return state element_predicted = extract_element_predicted(action_state) if not is_valid_element(element_predicted): feedback = { "action": call["name"], "status": "error", "message": f"ERROR: You have predicted to perform {call['name']} of {element_predicted} as the next action. Please provide the element ID!", "update_reason": ( state.update_plan_reason if state.update_plan_reason else "No reason provided" ), } state.feedback.append(feedback) if len(result.tool_calls) == 1: state.messages.append(AIMessage(content=state.observation, name="call_tool")) state.sender = "ActionAgent" return state else: # Delete this call result.tool_calls.remove(call) # Process valid element_predicted if isinstance(element_predicted, str): if 'FINAL ANSWER' in element_predicted: state.observation = element_predicted state.messages.append(AIMessage(content=element_predicted, name="END")) state.sender = "END" return state result.name = name state.messages.append(result) state.sender = name return state ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/action_agent.py ================================================ from typing import Any from langchain_core.language_models import BaseChatModel from langchain_core.messages import AIMessage, BaseMessage from langchain_core.prompts import ChatPromptTemplate from cuga.backend.cuga_graph.nodes.browser.action_agent.tools.tools import setup_tools from cuga.backend.cuga_graph.nodes.shared.base_agent import BaseAgent from cuga.backend.cuga_graph.state.agent_state import AgentState from cuga.backend.llm.models import LLMManager from cuga.backend.llm.utils.helpers import load_prompt_simple from cuga.config import settings llm_manager = LLMManager() class ActionAgent(BaseAgent): def __init__(self, prompt_template: ChatPromptTemplate, llm: BaseChatModel, tools: Any = None): super().__init__() self.name = "ActionAgent" prompt = prompt_template.partial(tool_names=", ".join([tool.name for key, tool in tools.items()])) tools = tools.values() self.chain = prompt | llm.bind_tools(tools) @staticmethod def output_parser(result: BaseMessage, name) -> BaseMessage: result.name = name return result def run(self, input_variables: AgentState) -> AIMessage: data = input_variables.model_dump() if settings.advanced_features.mode == "hybrid": data["variables_history"] = input_variables.variables_manager.get_variables_summary(last_n=1) else: data["variables_history"] = "" return self.chain.invoke(data) @staticmethod def create(): dyna_model = settings.agent.action.model return ActionAgent( prompt_template=load_prompt_simple( "./prompts/system.jinja2", "./prompts/user.jinja2", model_config=dyna_model, ), llm=llm_manager.get_model(dyna_model), tools=setup_tools(), ) ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/prompts/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/prompts/load_prompt.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/prompts/system.jinja2 ================================================ As an autonomous agent, your primary task is to interact effectively with web pages using the elements provided in the accessibility tree, to achieve the current step. **Context Information**: - **Current URL**: current URL. - **Current step**: current step to perform. - **Available Tools**: available tools to use. - **Elements accessibility tree**: Accessibility tree of the current page. **Your Goal**: To systematically progress towards task completion by selecting the most appropriate actions. Think critically and adapt your strategies to suit each unique situation. **Key Guidelines (Prioritized)**: 1. **Understand the current step**: Ensure all actions align with fulfilling the current step. 2. **Use Provided Elements and Tools Only**: Interact solely with provided elements using available tools; do not assume additional capabilities. 3. **Avoid Unnecessary Repetitions**: Do not repeat actions on the same element unless trying a different approach. 4. **Be Cautious with 'Click' Actions**: Since the environment may change after a click, avoid multiple clicks without reassessing the page state. 5. **Validate Inputs**: Ensure data inputs are correct and in expected formats before submission. 6. **Think Critically**: Confirm that each action is necessary and contributes to the current step. **Element Interaction**: - **Selecting Actions**: - Prioritize interactions with elements of highest relevance and priority. - Choose actions likely to advance towards the current step. - When typing into search inputs, press enter. - **Input Flexibility**: - Try alternative input formats if initial attempts fail (e.g., different date formats). **Element Interaction Rules** - **Indexing Convention** - Each element with a number in brackets (e.g., `[1] input 'Username'`) uses that number as the **element ID** for interaction commands. **Error Handling**: - **When an Element is Not Found or Accessible**: - Refer to alternatives. - Look for 'expand' or 'show more' options. - **Exploration Strategies**: - Explore other elements or options when stuck. **Tool Usage**: - **Available Tools and Use Cases**: - **click(element_id)**: Click on buttons or links. - **go_back(element_id)**: Go back to previous page. - **type(element_id, text)**: Input text into fields. - **Provide Exact Arguments**: - Ensure tool arguments match the required format. - **Examples**: - **click('element_id')** - **type('element_id', '12/31/2022')** - **open_dropdown('element_id')** **Adaptability**: - Adjust strategies based on website types (e.g., e-commerce, social media). **Feedback Loop**: - **Progress Assessment**: - Regularly check if actions are advancing towards the current step. **Final Notes**: - **Action Execution**: - Provide element ID, value if needed, and the action to be performed. - Ensure actions align with the user's goal and page state. - **Ethical Considerations**: - Avoid actions that could be malicious or unethical. - **Clarity in Instructions**: - Ensure all actions are clear, concise, and executable. ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/prompts/user.jinja2 ================================================ {% if variables_history %} Use this variable history in order to get values based on current step. --- {{variables_history}} {% endif %} **Current URL**: {{url}} **Current step**: {{next_step}} **Available Tools**: {{tool_names}} **Elements accessibility tree: {{elements_as_string}} ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/ranker_output.json ================================================ { "Relevant Elements": [ { "ID": "...", "Role": "...", "Name": "...", "Description": "...", "Relevance": "...", "Relationship": "..." } ], "Element Priorities": [ { "ID": "...", "Priority": "...", "Reason": "..." } ], "Rationale": "...", "Next Steps Suggestion": "..." } ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/tools/__init__.py ================================================ ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/tools/alert.py ================================================ from pydantic import BaseModel class Alert(BaseModel): message: str ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/tools/tool_processor.py ================================================ from cuga.backend.utils.consts import ( HUMAN_IN_THE_LOOP_FUNC_NAME, ONLY_VALUE_ACTIONS, STATELESS_ACTIONS, ) def transform_action(action): name = action['name'] try: state = action['args']['state'] except Exception: return f"# Unsupported action or missing state: {name}: {action}" # try to extract id and value from state if exists if isinstance(state, dict): if name in STATELESS_ACTIONS: return f"{name}()" if len(state) == 0: return f"# Unsupported action or missing state: {name}" keys = list(state.keys()) if name in ONLY_VALUE_ACTIONS: value = state.get(keys[0], None) state = {'message': value} else: id = state.get(keys[0], None) value = state.get(keys[1], None) if id and value: state = {id: value} if name == 'read_page': return "read_page()" elif name in ['answer', 'human_in_the_loop']: name = HUMAN_IN_THE_LOOP_FUNC_NAME if name == 'human_in_the_loop' else name # Try to extract the answer content from various possible formats if isinstance(state, dict): # If state is a dictionary, look for common keys answer_keys = ['text', 'content', 'answer', 'message'] for key in answer_keys: if key in state: return f"{name}('''{state[key]}''')" # If no common keys found, use the first value in the dictionary if state: return f"{name}('''{next(iter(state.values()))}''')" # If state is not a dictionary or is empty, use it directly return f"{name}('''{state}''')" elif name == 'type': return f"fill('{id}', '''{value}''')" elif name == 'click': return f"click('{id}')" elif name == 'select_option': if isinstance(value, list): value_str = "[" + ", ".join(f"'{v}'" for v in value) + "]" else: value_str = f"'{value}'" return f"select_option('{id}', {value_str})" elif name == 'hover': return f"hover('{id}')" elif name == 'select': options = state['value'] if isinstance(options, list): options = [f"'{opt}'" for opt in options] options = f"[{', '.join(options)}]" else: options = f"'{options}'" return f"select_option('{id}', {options})" elif name == 'check': return f"check('{id}')" elif name == 'uncheck': return f"uncheck('{state[0]}')" elif name == 'press': return f"press('{id}', '{value}')" elif name == 'focus': return f"focus('{id}')" elif name == 'clear': return f"clear('{id}')" elif name == 'drag_and_drop': return f"drag_and_drop('{state['from_id']}', '{state['to_id']}')" elif name == 'scroll': return f"scroll({state['delta_x']}, {state['delta_y']})" elif name == 'mouse_move': return f"mouse_move({state['x']}, {state['y']})" elif name == 'mouse_up': button = state.get('button', 'left') return f"mouse_up({state['x']}, {state['y']}, '{button}')" elif name == 'mouse_down': button = state.get('button', 'left') return f"mouse_down({state['x']}, {state['y']}, '{button}')" elif name == 'mouse_click': button = state.get('button', 'left') return f"mouse_click({state['x']}, {state['y']}, '{button}')" elif name == 'mouse_dblclick': button = state.get('button', 'left') return f"mouse_dblclick({state['x']}, {state['y']}, '{button}')" elif name == 'mouse_drag_and_drop': return f"mouse_drag_and_drop({state['from_x']}, {state['from_y']}, {state['to_x']}, {state['to_y']})" elif name == 'keyboard_press': return f"keyboard_press('{state['key']}')" elif name == 'keyboard_up': return f"keyboard_up('{state['key']}')" elif name == 'keyboard_down': return f"keyboard_down('{state['key']}')" elif name == 'keyboard_type': return f"keyboard_type('{state['text']}')" elif name == 'keyboard_insert_text': return f"keyboard_insert_text('{state['text']}')" elif name == 'goto': return f"goto('{state['url']}')" elif name == 'go_back': return "go_back()" elif name == 'go_forward': return "go_forward()" elif name == 'new_tab': return "new_tab()" elif name == 'tab_close': return "tab_close()" elif name == 'tab_focus': return f"tab_focus({state['index']})" elif name == 'upload_file': files = state['file'] if isinstance(files, list): files = [f"'{file}'" for file in files] files = f"[{', '.join(files)}]" else: files = f"'{files}'" return f"upload_file('{state['id']}', {files})" elif name == 'mouse_upload_file': files = state['file'] if isinstance(files, list): files = [f"'{file}'" for file in files] files = f"[{', '.join(files)}]" else: files = f"'{files}'" return f"mouse_upload_file({state['x']}, {state['y']}, {files})" else: return f"# Unsupported action: {name}" ================================================ FILE: src/cuga/backend/cuga_graph/nodes/browser/action_agent/tools/tools.py ================================================ import inspect from typing import Dict, List, Literal, Optional from langchain_core.messages import ToolCall from langchain_core.runnables import RunnableConfig from langchain_core.tools import BaseTool, tool from cuga.backend.browser_env.tools.providers import BrowserToolImplProvider from cuga.backend.cuga_graph.nodes.browser.action_agent.tools.alert import Alert # ---------------------------------------------------------------------------- # Original public API (tool functions) # ---------------------------------------------------------------------------- def get_params_and_values_except(func, exclude_param, *args, **kwargs): # Retrieve the signature of the function sig = inspect.signature(func) # Bind the provided arguments to the function's parameters bound_args = sig.bind(*args, **kwargs) # Apply default values for missing arguments bound_args.apply_defaults() # Create a dictionary of parameter names and their values, excluding the specified one params_and_values = {k: v for k, v in bound_args.arguments.items() if k != exclude_param} return params_and_values # ---------------------------------------------------------- # Delegation helper – choose implementation set at import time # ---------------------------------------------------------- def _retrieve_impl(config: RunnableConfig, tool_name: str): impl: BrowserToolImplProvider = config['configurable']['tool_impl'] tool_impl = impl.implementations()[tool_name] return tool_impl @tool async def go_back(config: RunnableConfig | None = None): """ Go back to previous page. Examples: """ _go_back = _retrieve_impl(config, 'go_back') await _go_back(config) @tool async def open_app( app_name: Literal[ "wikipedia", "map", "reddit", "gitlab", "shopping", "shopping_admin", ], config: RunnableConfig = None, ): """ Open an application Examples: open_app('reddit') """ _open_app = _retrieve_impl(config, 'open_app') return await _open_app(app_name=app_name, config=config) @tool async def click( bid: str, button: Literal["left", "middle", "right"] = "left", modifiers: Optional[List[Literal["Alt", "Control", "Meta", "Shift"]]] = [], config: RunnableConfig = None, ) -> Optional[Alert]: """ Click an element. Examples: click('a51') click('b22', button="right") click('48', button="middle", modifiers=["Shift"]) """ _click = _retrieve_impl(config, 'click') return await _click(bid=bid, button=button, modifiers=modifiers or [], config=config) @tool async def select_option(bid: str, options: str | list[str], config: RunnableConfig = None) -> Optional[Alert]: """ Select one or more options in a dropdown – delegate to implementation. """ _select_option = _retrieve_impl(config, 'select_option') return await _select_option(bid=bid, options=options, config=config) @tool async def type(bid: str, value: str, press_enter: bool, config: RunnableConfig) -> Optional[Alert]: """ Fill out a form field. It focuses the element and triggers an input event with the entered text. It works for , ${this.isFluid?re.qy`
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::slotted([slot=icon]){margin-inline-start:.5rem;position:static}.cds--btn--danger--ghost:active,.cds--btn--danger--ghost:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--ghost.cds--btn--disabled,.cds--btn--danger--ghost.cds--btn--disabled:focus,.cds--btn--danger--ghost.cds--btn--disabled:hover,.cds--btn--danger--ghost:disabled,.cds--btn--danger--ghost:focus:disabled,.cds--btn--danger--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--expressive{font-size:var(--cds-body-compact-02-font-size,1rem);font-weight:var(--cds-body-compact-02-font-weight,400);letter-spacing:var(--cds-body-compact-02-letter-spacing,0);line-height:var(--cds-body-compact-02-line-height,1.375);padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh))/2 - .0625rem,var(--temp-padding-block-max))}.cds--btn--icon-only.cds--btn--expressive{padding:12px 13px}.cds--btn.cds--btn--expressive 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infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn.cds--skeleton{background:CanvasText}.cds--btn.cds--skeleton:before{background:Canvas;forced-color-adjust:none}}.cds--btn.cds--skeleton{inline-size:9.375rem}.cds--btn-set,:host(cds-button-set),:host(cds-side-panel-button-set){display:flex}.cds--btn-set--stacked,:host(cds-button-set[stacked]){flex-direction:column}.cds--btn-set .cds--btn,:host(cds-button-set) .cds--btn,:host(cds-side-panel-button-set) .cds--btn{inline-size:100%;max-inline-size:12.25rem}.cds--btn-set .cds--btn:not(:focus),:host(cds-button-set) .cds--btn:not(:focus),:host(cds-side-panel-button-set) .cds--btn:not(:focus){box-shadow:-.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set .cds--btn:first-of-type:not(:focus),:host(cds-button-set) .cds--btn:first-of-type:not(:focus),:host(cds-side-panel-button-set) .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn:focus+.cds--btn,:host(cds-button-set) .cds--btn:focus+.cds--btn,:host(cds-side-panel-button-set) .cds--btn:focus+.cds--btn{box-shadow:inherit}.cds--btn-set--stacked .cds--btn:not(:focus),:host(cds-button-set[stacked]) .cds--btn:not(:focus){box-shadow:0 -.0625rem 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--stacked .cds--btn:first-of-type:not(:focus),:host(cds-button-set[stacked]) .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn.cds--btn--disabled,:host(cds-button-set) .cds--btn.cds--btn--disabled,:host(cds-side-panel-button-set) .cds--btn.cds--btn--disabled{box-shadow:-.0625rem 0 0 0 var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn-set .cds--btn.cds--btn--disabled:first-of-type,:host(cds-button-set) .cds--btn.cds--btn--disabled:first-of-type,:host(cds-side-panel-button-set) .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set--stacked .cds--btn.cds--btn--disabled,:host(cds-button-set[stacked]) .cds--btn.cds--btn--disabled{box-shadow:0 -.0625rem 0 0 var(--cds-layer-selected-disabled,#8d8d8d)}.cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type,:host(cds-button-set[stacked]) .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set .cds--btn.cds--btn--loading,:host(cds-button-set) .cds--btn.cds--btn--loading,:host(cds-side-panel-button-set) .cds--btn.cds--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds--btn--sm .cds--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds--btn-set .cds--btn:not(:focus),[dir=rtl] :host(cds-button-set) .cds--btn:not(:focus),[dir=rtl] :host(cds-side-panel-button-set) .cds--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--fluid{container-type:inline-size}.cds--btn-set--fluid .cds--btn-set__fluid-inner{--flex-direction:row;align-items:stretch;display:flex;flex-direction:var(--flex-direction);inline-size:100%;justify-content:flex-end}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{flex:0 1 25%;max-inline-size:14.5rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{min-inline-size:11rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--danger--ghost,.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--ghost{flex:1 1 25%;max-inline-size:none;padding-inline-start:2rem}@container (width <= 11rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 22rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:nth-child(2):last-child) .cds--btn{flex-basis:50%;max-inline-size:none}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:first-child:last-child) .cds--btn{flex:1 1 100%;max-inline-size:none}}.cds--copy-btn{position:relative}.cds--copy-btn:hover{background-color:var(--cds-layer-hover)}.cds--copy-btn:active{background-color:var(--cds-layer-active)}.cds--copy-btn:before{block-size:0;border-style:solid;content:"";display:none;inline-size:0;position:absolute;z-index:6000}.cds--copy-btn .cds--copy-btn__feedback{background-color:var(--cds-background-inverse,#393939);block-size:auto;border-radius:.125rem;box-shadow:0 2px 6px var(--cds-shadow,rgba(0,0,0,.3));color:var(--cds-text-inverse,#fff);font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:400;font-weight:var(--cds-body-compact-01-font-weight,400);inline-size:-moz-max-content;inline-size:max-content;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);max-inline-size:13rem;min-inline-size:1.5rem;padding:.5rem 1rem;text-align:start;transform:translateX(-50%);z-index:6000}@media (-ms-high-contrast:active),(-ms-high-contrast:none){.cds--copy-btn .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-accelerator:true){.cds--copy-btn .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-ime-align:auto){.cds--copy-btn .cds--copy-btn__feedback{inline-size:auto}}@media screen and (-ms-high-contrast:active),screen and (prefers-contrast){.cds--copy-btn .cds--copy-btn__feedback{border:1px solid transparent}}.cds--copy-btn .cds--copy-btn__feedback{clip:auto;box-sizing:content-box;display:none;margin:auto;overflow:visible}.cds--copy-btn.cds--copy-btn--animating .cds--copy-btn__feedback,.cds--copy-btn.cds--copy-btn--animating:before{display:block}.cds--copy-btn.cds--copy-btn--animating:before{border:none}.cds--copy-btn.cds--copy-btn--animating.cds--copy-btn--fade-out .cds--copy-btn__feedback,.cds--copy-btn.cds--copy-btn--animating.cds--copy-btn--fade-out:before{animation:cds--hide-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds--copy-btn.cds--copy-btn--animating.cds--copy-btn--fade-in .cds--copy-btn__feedback,.cds--copy-btn.cds--copy-btn--animating.cds--copy-btn--fade-in:before{animation:cds--show-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds--copy-btn svg{fill:var(--cds-icon-primary,#161616)}.cds--copy{font-size:0}.cds--chat-btn{border-radius:1.5rem}.cds--chat-btn:not(.cds--chat-btn--with-icon){padding-inline-end:.9375rem}.cds--chat-btn.cds--btn--md{border-radius:1.25rem}.cds--chat-btn.cds--btn--sm{border-radius:1rem}.cds--chat-btn--quick-action{align-items:center;background:transparent;border:1px solid var(--cds-chat-button,#0f62fe);color:var(--cds-chat-button,#0f62fe)}.cds--chat-btn--quick-action:hover:not(:active):not([disabled]){background:var(--cds-chat-button-hover,hsla(0,0%,55%,.12));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}.cds--chat-btn--quick-action:active{background:var(--cds-chat-button-active,hsla(0,0%,55%,.5));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}.cds--chat-btn--quick-action.cds--btn--ghost:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 1px var(--cds-focus,#0f62fe)}.cds--chat-btn--quick-action.cds--btn--ghost:hover:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 1px var(--cds-focus-inset,#fff)}.cds--chat-btn--quick-action[disabled],.cds--chat-btn--quick-action[disabled]:hover{border-color:var(--cds-button-disabled,#c6c6c6);color:var(--cds-button-disabled,#c6c6c6)}.cds--chat-btn--quick-action--selected,.cds--chat-btn--quick-action--selected[disabled],.cds--chat-btn--quick-action--selected[disabled]:hover{background:var(--cds-chat-button-selected,hsla(0,0%,55%,.2));border-color:transparent;color:var(--cds-chat-button-text-selected,#525252)}.cds--chat-btn--quick-action.cds--chat-btn--quick-action--selected:not([disabled]):active,.cds--chat-btn--quick-action.cds--chat-btn--quick-action--selected:not([disabled]):hover{color:var(--cds-chat-button-text-selected,#525252)}.cds--chat-btn.cds--skeleton{overflow:hidden}.cds--snippet html{font-size:100%}.cds--snippet body{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;text-rendering:optimizeLegibility}.cds--snippet code{font-family:IBM Plex Mono,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,monospace}.cds--snippet strong{font-weight:600}.cds--snippet--disabled,.cds--snippet--disabled .cds--btn.cds--snippet-btn--expand{background-color:var(--cds-layer);color:var(--cds-text-disabled,hsla(0,0%,9%,.25))}.cds--snippet--disabled .cds--copy-btn,.cds--snippet--disabled .cds--copy-btn:hover,.cds--snippet--disabled .cds--snippet-btn--expand:hover{background-color:var(--cds-layer);color:var(--cds-text-disabled,hsla(0,0%,9%,.25));cursor:not-allowed}.cds--snippet--disabled .cds--snippet-btn--expand .cds--icon-chevron--down,.cds--snippet--disabled .cds--snippet__icon{fill:var(--cds-icon-disabled,hsla(0,0%,9%,.25))}.cds--snippet code{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333)}.cds--snippet--inline html{font-size:100%}.cds--snippet--inline body{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;text-rendering:optimizeLegibility}.cds--snippet--inline code{font-family:IBM Plex Mono,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,monospace}.cds--snippet--inline strong{font-weight:600}.cds--snippet--inline{background-color:var(--cds-layer);border:1px solid transparent;border-radius:4px;color:var(--cds-text-primary,#161616);cursor:pointer;display:inline;padding:0;position:relative}.cds--snippet--inline:hover{background-color:var(--cds-layer-hover)}.cds--snippet--inline:active{background-color:var(--cds-layer-active)}.cds--snippet--inline:focus{border:1px solid var(--cds-focus,#0f62fe);outline:none}.cds--snippet--inline:before{block-size:0;border:none;content:"";display:none;inline-size:0;position:absolute;z-index:6000}.cds--snippet--inline .cds--copy-btn__feedback{background-color:var(--cds-background-inverse,#393939);block-size:auto;border-radius:.125rem;box-shadow:0 2px 6px var(--cds-shadow,rgba(0,0,0,.3));color:var(--cds-text-inverse,#fff);font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:400;font-weight:var(--cds-body-compact-01-font-weight,400);inline-size:-moz-max-content;inline-size:max-content;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);max-inline-size:13rem;min-inline-size:1.5rem;padding:.5rem 1rem;text-align:start;transform:translateX(-50%);z-index:6000}@media (-ms-high-contrast:active),(-ms-high-contrast:none){.cds--snippet--inline .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-accelerator:true){.cds--snippet--inline .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-ime-align:auto){.cds--snippet--inline .cds--copy-btn__feedback{inline-size:auto}}@media screen and (-ms-high-contrast:active),screen and (prefers-contrast){.cds--snippet--inline .cds--copy-btn__feedback{border:1px solid transparent}}.cds--snippet--inline .cds--copy-btn__feedback{clip:auto;box-sizing:content-box;display:none;margin:auto;overflow:visible}.cds--snippet--inline.cds--copy-btn--animating .cds--copy-btn__feedback,.cds--snippet--inline.cds--copy-btn--animating:before{display:block}.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-out .cds--copy-btn__feedback,.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-out:before{animation:cds--hide-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-in .cds--copy-btn__feedback,.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-in:before{animation:cds--show-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds--snippet--inline code{padding:0 .5rem}.cds--snippet--inline.cds--snippet--no-copy{display:inline-block}.cds--snippet--inline.cds--snippet--no-copy:hover{background-color:var(--cds-layer);cursor:auto}.cds--snippet--light.cds--snippet--inline.cds--snippet--no-copy:hover{background-color:var(--cds-layer-hover);cursor:auto}.cds--snippet--single{align-items:center;background-color:var(--cds-layer);block-size:2.5rem;display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);inline-size:100%;letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);max-inline-size:48rem;padding-inline-end:2.5rem;position:relative}.cds--snippet--single.cds--snippet--no-copy{padding:0}.cds--snippet--single.cds--snippet--no-copy:after{inset-inline-end:1rem}.cds--snippet--single .cds--snippet-container{align-items:center;block-size:100%;display:flex;overflow-x:auto;padding-inline-start:1rem;position:relative}.cds--snippet--single .cds--snippet-container:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--snippet--single .cds--snippet-container:focus{outline-style:dotted}}.cds--snippet--single pre{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);padding-inline-end:2rem}.cds--snippet--inline code,.cds--snippet--single pre{white-space:pre}.cds--snippet--multi{background-color:var(--cds-layer);display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);inline-size:100%;letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);max-inline-size:48rem;padding:1rem}.cds--snippet--multi .cds--snippet-container{max-block-size:100%;min-block-size:100%;order:1;overflow-y:auto;position:relative;transition:max-height .15s cubic-bezier(.2,0,.38,.9)}.cds--snippet--multi .cds--snippet-container:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--snippet--multi .cds--snippet-container:focus{outline-style:dotted}}.cds--snippet--multi .cds--snippet-container:focus{outline-offset:0}.cds--snippet--multi.cds--snippet--expand .cds--snippet-container{padding-block-end:1rem;transition:max-height .15s cubic-bezier(.2,0,.38,.9)}.cds--snippet--multi.cds--snippet--wraptext pre{word-wrap:break-word;white-space:pre-wrap}.cds--snippet--multi .cds--snippet-container pre{overflow:auto;padding-block-end:1.5rem;padding-inline-end:1.5rem}.cds--snippet--multi.cds--snippet--no-copy .cds--snippet-container pre{padding-inline-end:0}[dir=rtl] .cds--snippet--multi.cds--snippet--has-right-overflow:after{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds--snippet--multi .cds--snippet-container pre code{overflow:hidden}.cds--snippet__icon{fill:var(--cds-icon-primary,#161616);block-size:1rem;inline-size:1rem;transition:all 70ms cubic-bezier(.2,0,.38,.9)}.cds--btn>.cds--snippet__icon{margin-block-start:0}.cds--copy-btn html{font-size:100%}.cds--copy-btn body{-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;text-rendering:optimizeLegibility}.cds--copy-btn code{font-family:IBM Plex Mono,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,monospace}.cds--copy-btn strong{font-weight:600}.cds--copy-btn{align-items:center;background-color:var(--cds-layer);border:none;cursor:pointer;display:flex;justify-content:center;outline:none;overflow:visible;padding:0}.cds--copy-btn:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--copy-btn:focus{outline-style:dotted}}.cds--copy-btn:focus{outline-color:var(--cds-focus,#0f62fe)}.cds--snippet .cds--popover-container{font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;inset-block-start:0;inset-inline-end:0;position:absolute}.cds--snippet--inline.cds--btn{block-size:1.25rem;inline-size:auto;max-inline-size:unset;min-block-size:1.25rem;padding-inline:0}.cds--snippet--inline.cds--btn.cds--btn--primary:hover{color:var(--cds-text-primary,#161616)}.cds--snippet.cds--snippet--multi .cds--popover-container{inset-block-start:.5rem;inset-inline-end:.5rem}.cds--snippet--multi .cds--copy-btn{z-index:10}.cds--snippet-btn--expand{align-items:center;background-color:var(--cds-layer);block-size:2rem;border:0;color:var(--cds-text-primary,#161616);display:inline-flex;font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:var(--cds-body-compact-01-font-weight,400);inset-block-end:0;inset-inline-end:0;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);padding:.5rem 1rem;position:absolute;z-index:10}.cds--snippet-btn--expand .cds--snippet-btn--text{inset-block-start:-.0625rem;position:relative}.cds--snippet-btn--expand--hide.cds--snippet-btn--expand{display:none}.cds--snippet-btn--expand .cds--icon-chevron--down{fill:var(--cds-icon-primary,#161616);margin-inline-start:.5rem;transform:rotate(0deg);transition:.15s cubic-bezier(.2,0,.38,.9)}.cds--snippet-btn--expand:hover{background:var(--cds-layer-hover);color:var(--cds-text-primary,#161616)}.cds--snippet-btn--expand:active{background-color:var(--cds-layer-active)}.cds--snippet-btn--expand:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--snippet-btn--expand:focus{outline-style:dotted}}.cds--snippet-btn--expand:focus{border-color:transparent}.cds--snippet--expand .cds--snippet-btn--expand .cds--icon-chevron--down{transform:rotate(180deg);transition:transform .3s}.cds--snippet--light,.cds--snippet--light .cds--btn.cds--snippet-btn--expand,.cds--snippet--light .cds--copy-btn,.cds--snippet--light .cds--snippet-button{background-color:var(--cds-layer)}.cds--snippet--light .cds--btn.cds--snippet-btn--expand:hover,.cds--snippet--light .cds--copy-btn:hover,.cds--snippet--light .cds--snippet-button:hover,.cds--snippet--light.cds--snippet--inline:hover{background-color:var(--cds-layer-hover)}.cds--snippet--light .cds--btn.cds--snippet-btn--expand:active,.cds--snippet--light .cds--copy-btn:active,.cds--snippet--light .cds--snippet-button:active,.cds--snippet--light.cds--snippet--inline:active{background-color:var(--cds-layer-active)}.cds--snippet.cds--skeleton .cds--snippet-container{block-size:100%;inline-size:100%}.cds--snippet-button .cds--btn--copy__feedback{inset-block-start:3.175rem;inset-inline:50% auto}.cds--snippet-button .cds--btn--copy__feedback:before{inset-block-start:0}.cds--snippet-button .cds--btn--copy__feedback:after{inset-block-start:-.25rem}.cds--snippet--multi .cds--snippet-button .cds--btn--copy__feedback{inset-block-start:2.675rem}.cds--snippet--inline .cds--btn--copy__feedback{inset-block-start:calc(100% - .25rem);inset-inline:50% auto}.cds--snippet--single .cds--snippet-container{-webkit-mask-image:linear-gradient(90deg,#000 calc(100% - 2rem),transparent);mask-image:linear-gradient(90deg,#000 calc(100% - 2rem),transparent);pointer-events:auto}.cds--snippet--multi{position:relative}.cds--snippet--multi .cds--snippet-container{inline-size:100%;-webkit-mask-composite:source-in,xor;mask-composite:intersect;-webkit-mask-image:linear-gradient(90deg,#000 calc(100% - 2rem),transparent),linear-gradient(180deg,#000 calc(100% - 1rem),transparent);mask-image:linear-gradient(90deg,#000 calc(100% - 2rem),transparent),linear-gradient(180deg,#000 calc(100% - 1rem),transparent);pointer-events:auto}[dir=rtl] .cds--snippet--single .cds--snippet-container{-webkit-mask-image:linear-gradient(270deg,#000 calc(100% - 2rem),transparent);mask-image:linear-gradient(270deg,#000 calc(100% - 2rem),transparent)}[dir=rtl] .cds--snippet--multi .cds--snippet-container{-webkit-mask-image:linear-gradient(270deg,#000 calc(100% - 2rem),transparent),linear-gradient(180deg,#000 calc(100% - 1rem),transparent);mask-image:linear-gradient(270deg,#000 calc(100% - 2rem),transparent),linear-gradient(180deg,#000 calc(100% - 1rem),transparent)}.cds--snippet--multi:focus-within .cds--snippet-container,.cds--snippet--single:focus-within .cds--snippet-container{-webkit-mask-image:none;mask-image:none}.cds--snippet--multi.cds--skeleton{block-size:6.125rem}.cds--snippet--single.cds--skeleton{block-size:3.5rem}.cds--snippet.cds--skeleton span{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--snippet.cds--skeleton span:active,.cds--snippet.cds--skeleton span:focus,.cds--snippet.cds--skeleton span:hover{border:none;cursor:default;outline:none}.cds--snippet.cds--skeleton span:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--snippet.cds--skeleton span:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--snippet.cds--skeleton span{background:CanvasText}.cds--snippet.cds--skeleton span:before{background:Canvas;forced-color-adjust:none}}.cds--snippet.cds--skeleton span{block-size:1rem;display:block;inline-size:100%;margin-block-start:.5rem}.cds--snippet.cds--skeleton span:first-child{margin:0}.cds--snippet.cds--skeleton span:nth-child(2){inline-size:85%}.cds--snippet.cds--skeleton span:nth-child(3){inline-size:95%}.cds--snippet--single.cds--skeleton .cds--snippet-container{padding-block-end:0}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--snippet--inline:focus{color:Highlight;outline:1px solid Highlight}.cds--snippet--multi,.cds--snippet--single{outline:1px solid transparent}}:host(cds-aichat-button),:host(cds-button),:host(cds-modal-footer-button){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px;display:inline-flex}:host(cds-aichat-button) .cds--btn,:host(cds-button) .cds--btn,:host(cds-modal-footer-button) .cds--btn{flex-grow:1;max-inline-size:100%}:host(cds-button-skeleton){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px}:host(cds-button[isExpressive]) ::slotted([slot=icon]),:host(cds-modal-footer-button[isExpressive]) ::slotted([slot=icon]){block-size:1.25rem;inline-size:1.25rem}:host(cds-button[pagination]) .cds--btn,:host(cds-modal-footer-button[pagination]) .cds--btn{border:none;border-inline-start:1px solid var(--cds-border-subtle);padding:0;transition:none}:host(cds-button[pagination]) .cds--btn:focus,:host(cds-modal-footer-button[pagination]) .cds--btn:focus{border-inline-start:0;box-shadow:none;outline:.125rem solid var(--cds-focus,#0f62fe);outline-offset:-.125rem}:host(cds-button[pagination]:not([disabled])) .cds--btn,:host(cds-modal-footer-button[pagination]:not([disabled])) .cds--btn{color:var(--cds-icon-primary,#161616)}:host(cds-button[pagination]:not([disabled])) .cds--btn:active,:host(cds-modal-footer-button[pagination]:not([disabled])) .cds--btn:active{background-color:var(--cds-layer-hover)}:host(cds-button[pagination][batch-action]:not([disabled])) .cds--btn,:host(cds-modal-footer-button[pagination][batch-action]:not([disabled])) .cds--btn{padding:calc(.875rem - 3px) 1rem}:host(cds-button[pagination][batch-action]:not([disabled])) .cds--btn:focus,:host(cds-modal-footer-button[pagination][batch-action]:not([disabled])) .cds--btn:focus{outline:.125rem solid var(--cds-layer);outline-offset:-.125rem}:host(cds-button[pagination][batch-action]:not([disabled])) :host(cds-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]),:host(cds-button[pagination][batch-action]:not([disabled])) :host(cds-modal-footer-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]),:host(cds-modal-footer-button[pagination][batch-action]:not([disabled])) :host(cds-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]),:host(cds-modal-footer-button[pagination][batch-action]:not([disabled])) :host(cds-modal-footer-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]){margin-inline-start:.25rem;position:static}:host(cds-aichat-button) .cds--btn--icon-only,:host(cds-button) .cds--btn--icon-only{align-items:center;padding-block-start:0}:host(cds-aichat-button) .cds--btn--icon-only.cds--btn--expressive,:host(cds-aichat-button) .cds--btn--icon-only.cds--btn--selected,:host(cds-button) .cds--btn--icon-only.cds--btn--expressive,:host(cds-button) .cds--btn--icon-only.cds--btn--selected{padding:.5rem}:host(cds-aichat-button) .cds--btn--ghost:not([disabled]) ::slotted([slot=icon]),:host(cds-button) .cds--btn--ghost:not([disabled]) ::slotted([slot=icon]){fill:var(--cds-icon-primary,#161616)}:host(cds-button[kind=ghost]) .cds--btn--ghost:active,:host(cds-button[kind=ghost]) .cds--btn--ghost:hover{outline:none}:host(cds-button[kind=ghost]) .cds--btn--ghost:not(:focus){box-shadow:none}:host(cds-button[kind=danger-ghost]) .cds--btn--danger-ghost:not(:focus){box-shadow:none}:host(cds-button-set) ::slotted(cds-button),:host(cds-side-panel-button-set) ::slotted(cds-button){inline-size:100%;max-inline-size:12.25rem}:host(cds-button-set) ::slotted(cds-button:not(:first-of-type)),:host(cds-side-panel-button-set) ::slotted(cds-button:not(:first-of-type)){box-shadow:-.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0);z-index:1}:host(cds-button-set) ::slotted(cds-button:focus-within),:host(cds-side-panel-button-set) ::slotted(cds-button:focus-within){box-shadow:inherit}:host(cds-button-set) ::slotted(cds-button:not(:first-of-type)[hide-margin]),:host(cds-side-panel-button-set) ::slotted(cds-button:not(:first-of-type)[hide-margin]){box-shadow:inherit}:host(cds-button-set[stacked]) ::slotted(cds-button:not(:first-of-type)){box-shadow:0 -.0625rem 0 0 var(--cds-button-separator,#e0e0e0);z-index:1}:host(cds-button-set[stacked]) ::slotted(cds-button:focus-within){box-shadow:inherit}:host(cds-button-set[stacked]) ::slotted(cds-button:not(:first-of-type)[hide-margin]){box-shadow:inherit}:host(cds-button[data-context=data-table]) .cds--btn{padding-inline:1rem}:host(cds-button[data-context=data-table]) .cds--btn__icon,:host(cds-button[data-context=data-table]):host(cds-button) ::slotted([slot=icon]){fill:var(--cds-icon-on-color,#fff);margin-inline-start:.5rem;position:static}:host(cds-button[data-context=data-table]) .cds--btn__icon .st0,:host(cds-button[data-context=data-table]):host(cds-button) ::slotted([slot=icon]) .st0{fill:none}:host(cds-button.cds--batch-summary__cancel){--divider-opacity:1}:host(cds-button.cds--batch-summary__cancel) button.cds--btn{align-items:center;block-size:100%;display:inline-flex;justify-content:center;margin:0;min-block-size:100%;padding-inline-end:1rem;padding-inline-start:1rem;position:relative}@media (prefers-reduced-motion:reduce){:host(cds-button.cds--batch-summary__cancel) button.cds--btn:before{transition:none}}:host(cds-button.cds--batch-summary__cancel) button.cds--btn:before{background-color:var(--cds-text-on-color,#fff);block-size:1rem;border:none;content:"";display:block;inline-size:.0625rem;inset-block-start:.9375rem;inset-inline-start:0;opacity:var(--divider-opacity);position:absolute;transition:opacity .11s cubic-bezier(.2,0,.38,.9)}:host(cds-button.cds--batch-summary__cancel) button.cds--btn:hover:before{opacity:0}:host(cds-button.cds--batch-summary__cancel[size=sm]) button.cds--btn{block-size:2rem;min-block-size:auto;padding-block:.375rem}:host(cds-button.cds--batch-summary__cancel[size=sm]) button.cds--btn:before{inset-block-start:.5rem}:host(cds-button.cds--batch-summary__cancel[size=lg]) button.cds--btn{block-size:3rem;min-block-size:auto}:host(cds-button.cds--batch-summary__cancel[size=lg]) button.cds--btn:before{inset-block-start:.9375rem}:host(cds-aichat-button) .cds--btn--ghost:not([disabled]):not(.cds--btn--icon-only) ::slotted([slot=icon]){fill:currentColor}:host(cds-aichat-button) .cds--btn{border-radius:1.5rem;max-inline-size:19rem}:host(cds-aichat-button) .cds--btn.cds--btn--md{border-radius:1.25rem}:host(cds-aichat-button) .cds--btn.cds--btn--sm{border-radius:1rem}:host(cds-aichat-button) .cds--btn:not(.cds-ce--btn--has-icon){padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - .0625rem)}:host(cds-aichat-button[is-quick-action]) .cds--btn{background:transparent;border:.0625rem solid var(--cds-chat-button,#0f62fe);color:var(--cds-chat-button,#0f62fe)}:host(cds-aichat-button[is-quick-action]) .cds--btn[disabled]:not(.cds--btn--selected){background:transparent;border:.0625rem solid var(--cds-border-disabled,#c6c6c6);color:var(--cds-text-disabled,hsla(0,0%,9%,.25))}:host(cds-aichat-button[is-quick-action]) .cds--btn:hover:not([disabled]){background:var(--cds-chat-button-hover,hsla(0,0%,55%,.12));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}:host(cds-aichat-button[is-quick-action]) .cds--btn:hover:not([disabled]).cds--btn--selected{color:var(--cds-chat-button-text-selected,#525252)}:host(cds-aichat-button[is-quick-action]) .cds--btn:hover:not([disabled]):focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 .0625rem var(--cds-focus-inset,#fff)}:host(cds-aichat-button[is-quick-action]) .cds--btn:active:not([disabled]){background:var(--cds-chat-button-active,hsla(0,0%,55%,.5))}:host(cds-aichat-button[is-quick-action]) .cds--btn.cds--btn--selected{background:var(--cds-chat-button-selected,hsla(0,0%,55%,.2));border-color:transparent;color:var(--cds-chat-button-text-selected,#525252)}:host(cds-aichat-button[is-quick-action]) .cds--btn.cds--btn--selected:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 .0625rem var(--cds-focus,#0f62fe)}:host(cds-aichat-button[is-quick-action]) .cds--btn:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 .0625rem var(--cds-focus,#0f62fe)}']);let Uc=class extends Oi.Ay{constructor(){super(...arguments),this.isQuickAction=!1,this.allowedSizes=[Nc.SMALL,Nc.MEDIUM,Nc.LARGE]}willUpdate(e){(e.has("isQuickAction")||e.has("size"))&&this._normalizeButtonState()}_normalizeButtonState(){if(this.isQuickAction)return this.kind=Oi.Er.GHOST,void(this.size=Nc.SMALL);this.allowedSizes.includes(this.size)||(this.size=Nc.LARGE),Object.values(Oi.Er).includes(this.kind)||(this.kind=Oi.Er.PRIMARY)}};Uc.styles=Yc,(0,te.Cg)([(0,ki.MZ)({type:Boolean,attribute:"is-quick-action"})],Uc.prototype,"isQuickAction",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0,attribute:"size"})],Uc.prototype,"size",void 0),Uc=(0,te.Cg)([(0,wi.Q)(`${_i.A}-button`)],Uc);var jc=Uc;const Wc=(0,Pi.v)((0,oe.a)({tagName:"cds-aichat-button",elementClass:jc,react:ne}));var Bc={elem:"svg",attrs:{xmlns:"http://www.w3.org/2000/svg",viewBox:"0 0 32 32",fill:"currentColor",width:16,height:16},content:[{elem:"path",attrs:{d:"M27.45,15.11l-22-11a1,1,0,0,0-1.08.12,1,1,0,0,0-.33,1L7,16,4,26.74A1,1,0,0,0,5,28a1,1,0,0,0,.45-.11l22-11a1,1,0,0,0,0-1.78Zm-20.9,10L8.76,17H18V15H8.76L6.55,6.89,24.76,16Z"}}],name:"send",size:16},Fc={elem:"svg",attrs:{xmlns:"http://www.w3.org/2000/svg",viewBox:"0 0 16 16",fill:"currentColor",width:16,height:16},content:[{elem:"path",attrs:{d:"M9.3 3.7L13.1 7.5 1 7.5 1 8.5 13.1 8.5 9.3 12.3 10 13 15 8 10 3z"}}],name:"arrow--right",size:16},Gc=o(7932),Hc=(0,re.AH)([".cds--link{border:0;box-sizing:border-box;font-family:inherit;font-size:100%;margin:0;padding:0;vertical-align:baseline}.cds--link *,.cds--link :after,.cds--link :before{box-sizing:inherit}.cds--link{color:var(--cds-link-text-color,var(--cds-link-primary,#0f62fe));display:inline-flex;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:var(--cds-body-compact-01-font-weight,400);letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);outline:none;text-decoration:none;transition:color 70ms 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extends((0,Gc.A)(re.WF)){constructor(){super(...arguments),this._hasAILabel=!1,this._hasHelperText=!1,this.colorScheme=xd.M.REGULAR,this.disabled=!1,this.hideLabel=!1,this.invalid=!1,this.invalidText="",this.kind=vd.SIMPLE,this.readonly=!1,this.required=!1,this.short=!1,this.size=$d.x0.MEDIUM,this.warn=!1,this.warnText=""}_handleAILabelSlotChange({target:e}){const t=e.assignedNodes().filter(e=>void 0!==e.matches&&(e.matches(this.constructor.aiLabelItem)||e.matches(this.constructor.slugItem)));this._hasAILabel=Boolean(t),t[0].setAttribute("size","mini"),this.requestUpdate()}_handleClickWrapper(e){e.target===this._iconNode&&this.input.focus()}_handleInput({target:e}){const{value:t}=e;this.value=t}_renderIcon(){return this.kind===vd.SIMPLE?void 0:(0,Ci.L)(wd,{class:`${ic.P}--date-picker__icon`,role:"img",title:"Open calendar"})}_handleSlotChange({target:e}){if(!e.name){const t=e.assignedNodes().some(e=>e.nodeType!==Node.TEXT_NODE||e.textContent.trim());this._hasHelperText=t}}render(){const e=this.constructor,{disabled:t,_hasHelperText:o,hideLabel:r,invalid:n,invalidText:s,labelText:a,pattern:i=e.defaultPattern,placeholder:c,readonly:d,size:l,type:p=e.defaultType,value:u,warn:h,warnText:f,_handleClickWrapper:m,_handleInput:v,_hasAILabel:g}=this,b=(0,Ci.L)(fc.A,{class:`${ic.P}--date-picker__icon ${ic.P}--date-picker__icon--invalid`}),O=(0,Ci.L)(mc.A,{class:`${ic.P}--date-picker__icon ${ic.P}--date-picker__icon--warn`}),y={disabled:t&&!d,invalid:n&&!d&&!t,warn:h&&!d&&!t&&!n,"slot-name":"","slot-text":"",icon:null};y.invalid?(y.icon=b,y["slot-name"]="invalid-text",y["slot-text"]=s):y.warn&&(y.icon=O,y["slot-name"]="warn-text",y["slot-text"]=f);const k=(0,Ei.H)({[`${ic.P}--label`]:!0,[`${ic.P}--visually-hidden`]:r,[`${ic.P}--label--disabled`]:t}),x=(0,Ei.H)({[`${ic.P}--date-picker__input`]:!0,[`${ic.P}--date-picker__input--invalid`]:y.invalid,[`${ic.P}--date-picker__input--warn`]:y.warn,[`${ic.P}--date-picker__input--${l}`]:l,[`${ic.P}--date-picker__input--decorator`]:g}),_=(0,Ei.H)({[`${ic.P}--date-picker-input__wrapper`]:!0,[`${ic.P}--date-picker-input__wrapper--invalid`]:y.invalid,[`${ic.P}--date-picker-input__wrapper--warn`]:y.warn}),w=(0,Ei.H)({[`${ic.P}--form__helper-text`]:!0,[`${ic.P}--form__helper-text--disabled`]:t});return re.qy`
${y.icon||this._renderIcon()}
${y["slot-text"]}
`}updated(){var e,t,o,r,n;this.toggleAttribute("ai-label",this._hasAILabel);const s=null===(e=this.shadowRoot)||void 0===e?void 0:e.querySelector("slot[name='ai-label']");s?null==s||s.classList.toggle(`${ic.P}--slug--revert`,null===(t=this.querySelector(`${ic.P}-ai-label`))||void 0===t?void 0:t.hasAttribute("revert-active")):null===(r=null===(o=this.shadowRoot)||void 0===o?void 0:o.querySelector("slot[name='slug']"))||void 0===r||r.classList.toggle(`${ic.P}--slug--revert`,null===(n=this.querySelector(`${ic.P}-slug`))||void 0===n?void 0:n.hasAttribute("revert-active"))}static get selectorParent(){return`${ic.P}-date-picker`}static get slugItem(){return`${ic.P}-slug`}static get aiLabelItem(){return`${ic.P}-ai-label`}};Sd.defaultPattern="\\d{1,2}\\/\\d{1,2}\\/\\d{4}",Sd.defaultType="text",Sd.shadowRootOptions=Object.assign(Object.assign({},re.WF.shadowRootOptions),{delegatesFocus:!0}),Sd.styles=_d,(0,te.Cg)([(0,ki.P)(`.${ic.P}--date-picker__icon`)],Sd.prototype,"_iconNode",void 0),(0,te.Cg)([(0,ki.wk)()],Sd.prototype,"_hasHelperText",void 0),(0,te.Cg)([(0,ki.P)("input")],Sd.prototype,"input",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"color-scheme",reflect:!0})],Sd.prototype,"colorScheme",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Sd.prototype,"disabled",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"hide-label"})],Sd.prototype,"hideLabel",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Sd.prototype,"invalid",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"invalid-text"})],Sd.prototype,"invalidText",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0})],Sd.prototype,"kind",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"label-text"})],Sd.prototype,"labelText",void 0),(0,te.Cg)([(0,ki.MZ)()],Sd.prototype,"pattern",void 0),(0,te.Cg)([(0,ki.MZ)()],Sd.prototype,"placeholder",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Sd.prototype,"readonly",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Sd.prototype,"required",void 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r=e.inputTo?e.inputTo:e.inputFrom,{key:n}=o;"Tab"===n&&(o.shiftKey?t._lastFocusInput===r&&(o.preventDefault(),setTimeout(()=>r.focus(),0)):t._lastFocusInput===r?(r.focus(),t.close()):(o.preventDefault(),r.focus()))},n=({target:e})=>{t._lastFocusInput=e},s=()=>{t._hCDSCEDatePickerFocusPluginBlur&&(t._hCDSCEDatePickerFocusPluginBlur=t._hCDSCEDatePickerFocusPluginBlur.release()),t._hCDSCEDatePickerFocusPluginFocusTo&&(t._hCDSCEDatePickerFocusPluginFocusTo=t._hCDSCEDatePickerFocusPluginFocusTo.release()),t._hCDSCEDatePickerFocusPluginFocusFrom&&(t._hCDSCEDatePickerFocusPluginFocusFrom=t._hCDSCEDatePickerFocusPluginFocusFrom.release()),t._hCDSCEDatePickerFocusPluginKeydownTo&&(t._hCDSCEDatePickerFocusPluginKeydownTo=t._hCDSCEDatePickerFocusPluginKeydownTo.release()),t._hCDSCEDatePickerFocusPluginKeydownFrom&&(t._hCDSCEDatePickerFocusPluginKeydownFrom=t._hCDSCEDatePickerFocusPluginKeydownFrom.release())};return{onReady:[()=>{t.loadedPlugins.push("carbonFlatpickrFocusPlugin")},()=>{s();const{inputFrom:a,inputTo:i}=e;t._hCDSCEDatePickerFocusPluginBlur=(0,yd.A)(t.calendarContainer,"keydown",r,!0),t._hCDSCEDatePickerFocusPluginKeydownFrom=(0,yd.A)(a,"keydown",o),i&&(t._hCDSCEDatePickerFocusPluginKeydownTo=(0,yd.A)(i,"keydown",o)),t._hCDSCEDatePickerFocusPluginFocusFrom=(0,yd.A)(a,"focus",n),i&&(t._hCDSCEDatePickerFocusPluginFocusTo=(0,yd.A)(i,"focus",n))}],onDestroy:s}},Pd={elem:"svg",attrs:{xmlns:"http://www.w3.org/2000/svg",viewBox:"0 0 16 16",fill:"currentColor",width:16,height:16},content:[{elem:"path",attrs:{d:"M5 8 10 3 10.7 3.7 6.4 8 10.7 12.3 10 13z"}}],name:"chevron--left",size:16};const Td=(e,t,o)=>o.months[t?"shorthand":"longhand"][e];var Ed=e=>t=>{const o=()=>{const{yearElements:o,currentMonth:r,l10n:n}=t,{shorthand:s,selectorFlatpickrMonthYearContainer:a,selectorFlatpickrCurrentMonth:i}=e,c=Td(r,!0===s,n);o.forEach(e=>{const t=e.closest(a);t&&(0,bd.jJ)(t.querySelectorAll(i),e=>{e.textContent=c})})};return{onMonthChange:o,onValueUpdate:o,onOpen:o,onReady:[()=>{const{monthElements:o,yearElements:r,currentMonth:n,l10n:s,_createElement:a}=t;if(!o)return;const{shorthand:i,selectorFlatpickrMonthYearContainer:c,selectorFlatpickrYearContainer:d,classFlatpickrCurrentMonth:l}=e;o.forEach(e=>{e.parentNode&&e.parentNode.removeChild(e)}),o.splice(0,o.length,...o.map(()=>{const e=a("span",l);e.textContent=Td(n,!0===i,s);const t=r[0].closest(c);return t&&t.insertBefore(e,r[0].closest(d)),e}))},o,()=>{t.loadedPlugins.push("carbonFlatpickrMonthSelectPlugin")}]}},Md=function(){for(var e=0,t=0,o=arguments.length;t=n.length?Md(e):n).length>e.length){var d=e[0],l=r?[n[0],d]:[d,n[1]];l[0].getTime()>l[1].getTime()&&(r?l[0]=l[1]:l[1]=l[0]),t.setDate(l,!1),n=Md(l)}i=(a=t.selectedDates.map(function(e){return t.formatDate(e,s)}))[0],t._input.value=void 0===i?"":i,c=a[1],o.value=void 0===c?"":c}}};return a}},Rd=e=>{const t=Cd(Object.assign({position:"left"},e));return o=>{const r=t(o),{onReady:n}=r,s=t=>{t.stopPropagation();const r=o._input,n=e.input,s=t.target===r||t.target===n,a=[r.value,n.value].filter(e=>e).filter((e,t,r)=>"range"!==o.config.mode||o.config.enableTime||r.indexOf(e)===t).join("range"!==o.config.mode?o.config.conjunction:o.l10n.rangeSeparator)!==o.getDateStr();const i=t.relatedTarget&&t.relatedTarget instanceof Node&&o.calendarContainer.contains(t.relatedTarget);s&&a&&!i&&o.setDate([r.value,n.value],!0,r===o.altInput?o.config.altFormat:o.config.dateFormat)};return Object.assign(r,{onReady(){n.call(this);const{ignoredFocusElements:t}=o.config;t.push(...t.map(e=>e.shadowRoot).filter(Boolean)),o._hBXCEDatePickerRangePluginOnBlurFrom&&(o._hBXCEDatePickerRangePluginOnBlurFrom=o._hBXCEDatePickerRangePluginOnBlurFrom.release()),o._hBXCEDatePickerRangePluginOnBlurTo&&(o._hBXCEDatePickerRangePluginOnBlurTo=o._hBXCEDatePickerRangePluginOnBlurTo.release()),o.config.allowInput&&(o._hBXCEDatePickerRangePluginOnBlurFrom=(0,yd.A)(o._input,"blur",s,{capture:!0}),o._hBXCEDatePickerRangePluginOnBlurTo=(0,yd.A)(e.input,"blur",s,{capture:!0}))}})}};const Ad={ArrowLeft:-1,Left:-1,ArrowUp:-7,Up:-7,ArrowRight:1,Right:1,ArrowDown:7,Down:7},Xd={ArrowLeft:-1,Left:-1,ArrowUp:-12,Up:-12,ArrowRight:1,Right:1,ArrowDown:12,Down:12};var qd,Id=()=>e=>{const t=t=>{const{ctrlKey:o,key:r,target:n}=t;if("Enter"===r)n.dispatchEvent(Object.assign(new CustomEvent("mousedown",{bubbles:!0}),{which:1}));else if(!o&&r in Ad){const{dateObj:o}=n,a=((e,{date:t=0})=>{const o=new Date(Date.UTC(e.getFullYear(),e.getMonth(),e.getDate())+864e5*t);return new Date(o.getUTCFullYear(),o.getUTCMonth(),o.getUTCDate())})(o,{date:Ad[r]}),i=(s=a,(0,bd.I6)(e.daysContainer.firstElementChild.children,({dateObj:e})=>s.getTime()===e.getTime()));if(i)i.focus();else{const t=e.daysContainer.firstElementChild;a.getTime()t.lastElementChild.dateObj.getTime()&&(e.changeMonth(1),e.daysContainer.firstElementChild.firstElementChild.focus())}t.preventDefault()}else o&&r in Xd&&(e.changeMonth(Xd[r]),e.daysContainer.firstElementChild.firstElementChild.focus(),t.preventDefault());var s},o=()=>{e._hCDSCEDatePickerShadowDOMEventsPluginKeydown&&(e._hCDSCEDatePickerShadowDOMEventsPluginKeydown=e._hCDSCEDatePickerShadowDOMEventsPluginKeydown.release())};return{onReady:[()=>{e.loadedPlugins.push("carbonFlatpickrShadowDOMEventsPlugin")},()=>{o(),e._hCDSCEDatePickerShadowDOMEventsPluginKeydown=(0,yd.A)(e.calendarContainer,"keydown",t)}],onDestroy:[o]}};!function(e){e.SIMPLE="simple",e.SINGLE="single",e.RANGE="range"}(qd||(qd={})),hd.A.l10ns.en.weekdays.shorthand.forEach((e,t)=>{const o=hd.A.l10ns.en.weekdays.shorthand;"Thu"===o[t]||"Th"===o[t]?o[t]="Th":o[t]=o[t].charAt(0)});let Nd=class extends((0,id.A)((0,fd.A)(re.WF))){constructor(){super(...arguments),this._dateInteractNode=null,this._handleChange=({detail:e})=>{this._value=e.selectedDates.map(e=>(e=>new Date(Date.UTC(e.getFullYear(),e.getMonth(),e.getDate())).toISOString().split("T")[0])(e)).join("/")},this._handleFlatpickrError=e=>{this.dispatchEvent(new CustomEvent(this.constructor.eventFlatpickrError,{bubbles:!0,cancelable:!1,composed:!0,detail:{error:e}}))},this.calendar=null,this.allowInput=!0,this.closeOnSelect=!0,this.disabled=!1,this.name="",this.open=!1,this.readonly=!1}get _mode(){const{selectorInputTo:e}=this.constructor;return this.querySelector(e)?qd.RANGE:this.querySelector(`${ic.P}-date-picker-input[kind="single"]`)?qd.SINGLE:qd.SIMPLE}get _datePickerPlugins(){const{classCalendarContainer:e,classMonth:t,classWeekdays:o,classDays:r,classWeekday:n,classDay:s,classNoBorder:a,selectorInputFrom:i,selectorInputTo:c,_selectorFlatpickrMonthYearContainer:d,_selectorFlatpickrYearContainer:l,_selectorFlatpickrCurrentMonth:p,_selectorFlatpickrMonth:u,_selectorFlatpickrWeekdays:h,_selectorFlatpickrDays:f,_selectorFlatpickrWeekday:m,_selectorFlatpickrDay:v,_classFlatpickrCurrentMonth:g,_classFlatpickrToday:b}=this.constructor,{_floatingMenuContainerNode:O,_mode:y}=this,k=this.querySelector(i),x=this.querySelector(c),_=[gd({appendTo:O}),Od({classCalendarContainer:e,classMonth:t,classWeekdays:o,classDays:r,classWeekday:n,classDay:s,classNoBorder:a,selectorFlatpickrMonth:u,selectorFlatpickrWeekdays:h,selectorFlatpickrDays:f,selectorFlatpickrWeekday:m,selectorFlatpickrDay:v,classFlatpickrToday:b}),kd({inputFrom:k,inputTo:x}),zd({inputFrom:k,inputTo:x}),e=>({onParseConfig:()=>{const{config:t}=e;t.prevArrow="",t.nextArrow=""},onReady:[()=>{e.loadedPlugins.push("carbonFlatpickrIconPlugin")},()=>{const{prevMonthNav:t,nextMonthNav:o}=e;(0,re.XX)((0,Ci.L)(Pd),t),(0,re.XX)((0,Ci.L)(Ri.A),o)}]}),Ed({selectorFlatpickrMonthYearContainer:d,selectorFlatpickrYearContainer:l,selectorFlatpickrCurrentMonth:p,classFlatpickrCurrentMonth:g}),Id(),(w=this,e=>({onOpen:()=>{w.open=!0},onClose:()=>{w.open=!1},onChange:e=>{const{eventChange:t}=w.constructor;w.dispatchEvent(new CustomEvent(t,{bubbles:!0,cancelable:!0,composed:!0,detail:{selectedDates:e}}))},onReady:[(t,o,r)=>{w.calendar=r,e.loadedPlugins.push("carbonFlatpickrStateHandshakePlugin")}]}))];var w;return y===qd.RANGE&&_.push(Rd({input:x})),_}get _datePickerOptions(){var e;const{locale:t=this.constructor.defaultLocale,enabledRange:o,_dateInteractNode:r,_datePickerPlugins:n,_handleFlatpickrError:s}=this,{input:a}=r,[i,c]=o?o.split("/"):[];return{allowInput:this.allowInput,closeOnSelect:this.closeOnSelect,dateFormat:null!==(e=this.dateFormat)&&void 0!==e?e:this.constructor.defaultDateFormat,disableMobile:!0,errorHandler:s,locale:t,maxDate:c,minDate:i,positionElement:a,plugins:n}}_handleFormdata(e){const{formData:t}=e,{disabled:o,name:r,value:n}=this;o||t.append(r,n)}_handleSlotChange({target:e}){const{_dateInteractNode:t}=this,o=e.assignedNodes().find(e=>e.nodeType===Node.ELEMENT_NODE&&e.matches(this.constructor.selectorInputFrom));t!==o&&(this._dateInteractNode=o,this._instantiateDatePicker())}_setCalendar(e,t){const{disabled:o,dateFormat:r,open:n,readonly:s,minDate:a,maxDate:i,value:c}=this,{selectorInputFrom:d,selectorInputTo:l}=this.constructor,p=this.querySelector(d),u=this.querySelector(l);if("dateFormat"===e&&t.set({dateFormat:r}),"date"===e){if(!md(a))throw new Error(`Wrong date format found in \`minDate\` property: ${a}`);if(!md(i))throw new Error(`Wrong date format found in \`maxDate\` property: ${i}`);if(a&&i&&a>i)throw new Error(`\`maxDate\` property, shouldn't be smaller than the \`minDate\` property. You have: minDate: ${a}, maxDate: ${i}`);t.set({minDate:a,maxDate:i})}if("open"===e&&(n&&!s?t.open():t.close()),"disabled"===e&&[p,u].forEach(e=>{e&&(e.disabled=o,e.readonly=s)}),"value"===e){const e=c.split("/").filter(Boolean).map(e=>md(e));if(e.some(e=>isNaN(Number(e))))throw new Error(`Wrong date format found in \`value\` property: ${c}`);const[o,r]=e;if(o&&r&&o>r)throw new Error(`In \`value\` property, the end date shouldn't be smaller than the start date. You have: ${c}`);t&&(t.setDate(e),[p,u].forEach((o,r)=>{o&&(o.value=e[r]?t.formatDate(new Date(e[r]),t.config.dateFormat):"")}))}return t}_instantiateDatePicker(){this._releaseDatePicker();const{_dateInteractNode:e}=this;e&&e.input&&"simple"!==this._mode&&(this.calendar=(0,hd.A)(e.input,this._datePickerOptions));const{calendar:t,disabled:o,dateFormat:r,open:n,readonly:s,minDate:a,maxDate:i,value:c}=this;return t&&(r&&this._setCalendar("dateFormat",t),(a||i)&&this._setCalendar("date",t),n&&this._setCalendar("open",t),(o||s)&&this._setCalendar("disabled",t),c&&this._setCalendar("value",t)),t}_releaseDatePicker(){return this.calendar&&(this.calendar.destroy(),this.calendar=null),this.calendar}get value(){return this._value}set value(e){const{_value:t}=this;this._value=e,this.requestUpdate("value",t)}connectedCallback(){super.connectedCallback(),this._instantiateDatePicker()}disconnectedCallback(){this._releaseDatePicker(),super.disconnectedCallback()}updated(e){const{calendar:t}=this;t&&(e.has("dateFormat")&&this._setCalendar("dateFormat",t),(e.has("minDate")||e.has("maxDate"))&&this._setCalendar("date",t),e.has("open")&&this._setCalendar("open",t),(e.has("disabled")||e.has("readonly"))&&this._setCalendar("disabled",t),e.has("value")&&this._setCalendar("value",t))}render(){const{_handleSlotChange:e}=this;return re.qy`
`}static get classCalendarContainer(){return`${ic.P}--date-picker__calendar`}static get classMonth(){return`${ic.P}--date-picker__month`}static get classWeekdays(){return`${ic.P}--date-picker__weekdays`}static get classDays(){return`${ic.P}--date-picker__days`}static get classWeekday(){return`${ic.P}--date-picker__weekday`}static get classDay(){return`${ic.P}--date-picker__day`}static get selectorInputFrom(){return`${ic.P}-date-picker-input,${ic.P}-date-picker-input[kind="from"]`}static get selectorInputTo(){return`${ic.P}-date-picker-input[kind="to"]`}static get eventFlatpickrError(){return`${ic.P}-date-picker-flatpickr-error`}static get eventChange(){return`${ic.P}-date-picker-changed`}};Nd._selectorFlatpickrMonthYearContainer=".flatpickr-current-month",Nd._selectorFlatpickrYearContainer=".numInputWrapper",Nd._selectorFlatpickrCurrentMonth=".cur-month",Nd._selectorFlatpickrMonth=".flatpickr-month",Nd._selectorFlatpickrWeekdays=".flatpickr-weekdays",Nd._selectorFlatpickrDays=".flatpickr-days",Nd._selectorFlatpickrWeekday=".flatpickr-weekday",Nd._selectorFlatpickrDay=".flatpickr-day",Nd._classFlatpickrCurrentMonth="cur-month",Nd._classFlatpickrToday="today",Nd.classNoBorder="no-border",Nd.defaultDateFormat="m/d/Y",Nd.defaultLocale=hd.A.l10ns.default,Nd.styles=_d,(0,te.Cg)([(0,ki.P)("#floating-menu-container")],Nd.prototype,"_floatingMenuContainerNode",void 0),(0,te.Cg)([(0,ad.A)("eventChange")],Nd.prototype,"_handleChange",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"allow-input"})],Nd.prototype,"allowInput",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"close-on-select"})],Nd.prototype,"closeOnSelect",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"date-format"})],Nd.prototype,"dateFormat",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nd.prototype,"disabled",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"enabled-range"})],Nd.prototype,"enabledRange",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:!1})],Nd.prototype,"locale",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"max-date"})],Nd.prototype,"maxDate",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"min-date"})],Nd.prototype,"minDate",void 0),(0,te.Cg)([(0,ki.MZ)()],Nd.prototype,"name",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nd.prototype,"open",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nd.prototype,"readonly",void 0),(0,te.Cg)([(0,ki.MZ)()],Nd.prototype,"value",null),Nd=(0,te.Cg)([(0,cc.Q)(`${ic.P}-date-picker`)],Nd);var Dd=Nd,Ld=o(152),Vd=o(1690);const Zd={Up:-1,ArrowUp:-1,Down:1,ArrowDown:1};var Yd,Ud,jd,Wd;!function(e){e.NONE="none",e.CLOSING="closing",e.NAVIGATING="navigating",e.TRIGGERING="triggering"}(Yd||(Yd={})),function(e){e.SMALL="sm",e.MEDIUM="md",e.LARGE="lg"}(Ud||(Ud={})),function(e){e.DEFAULT="",e.INLINE="inline"}(jd||(jd={})),function(e){e.TOP="top",e.BOTTOM="bottom"}(Wd||(Wd={}));var Bd=(0,re.AH)(['@keyframes cds--hide-feedback{0%{opacity:1;visibility:inherit}to{opacity:0;visibility:hidden}}@keyframes cds--show-feedback{0%{opacity:0;visibility:hidden}to{opacity:1;visibility:inherit}}@keyframes 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.cds--list-box__invalid-icon.cds--list-box__invalid-icon--warning{inset-inline-end:5.0625rem}.cds--list-box__wrapper--decorator .cds--list-box--invalid[data-invalid]>:before,.cds--list-box__wrapper--decorator .cds--list-box--warning>:before,.cds--list-box__wrapper--slug .cds--list-box--invalid[data-invalid] .cds--ai-label:before,.cds--list-box__wrapper--slug .cds--list-box--invalid[data-invalid] .cds--slug:before,.cds--list-box__wrapper--slug .cds--list-box--warning .cds--ai-label:before,.cds--list-box__wrapper--slug .cds--list-box--warning .cds--slug:before,:host(cds-dropdown[ai-label]) .cds--list-box--invalid[data-invalid] .cds--ai-label:before,:host(cds-dropdown[ai-label]) .cds--list-box--invalid[data-invalid] .cds--slug:before,:host(cds-dropdown[ai-label]) .cds--list-box--warning .cds--ai-label:before,:host(cds-dropdown[ai-label]) .cds--list-box--warning .cds--slug:before{display:block}.cds--list-box__wrapper--decorator .cds--list-box--warning .cds--list-box__field:has(.cds--list-box__selection)~.cds--list-box__inner-wrapper--decorator .cds--ai-label,.cds--list-box__wrapper--decorator .cds--list-box__field:has(.cds--list-box__selection)~.cds--list-box__inner-wrapper--decorator .cds--ai-label,.cds--list-box__wrapper--slug .cds--list-box--warning .cds--list-box__field:has(.cds--list-box__selection)~.cds--ai-label,.cds--list-box__wrapper--slug .cds--list-box--warning .cds--list-box__field:has(.cds--list-box__selection)~.cds--slug,.cds--list-box__wrapper--slug .cds--list-box__field:has(.cds--list-box__selection)~.cds--ai-label,.cds--list-box__wrapper--slug .cds--list-box__field:has(.cds--list-box__selection)~.cds--slug,:host(cds-dropdown[ai-label]) .cds--list-box__field:has(.cds--list-box__selection)~.cds--ai-label,:host(cds-dropdown[ai-label]) .cds--list-box__field:has(.cds--list-box__selection)~.cds--slug{inset-inline-end:calc(4rem + 18px)}.cds--list-box__wrapper--decorator .cds--list-box__field:has(.cds--list-box__selection)~.cds--list-box__inner-wrapper--decorator>*{inset-inline-end:calc(4rem + 18px)}.cds--list-box__wrapper--decorator .cds--list-box--invalid .cds--list-box__field:has(.cds--list-box__selection) .cds--list-box__invalid-icon,.cds--list-box__wrapper--decorator .cds--list-box--warning .cds--list-box__field:has(.cds--list-box__selection) .cds--list-box__invalid-icon,.cds--list-box__wrapper--slug .cds--list-box--invalid .cds--list-box__field:has(.cds--list-box__selection) .cds--list-box__invalid-icon,.cds--list-box__wrapper--slug .cds--list-box--warning .cds--list-box__field:has(.cds--list-box__selection) .cds--list-box__invalid-icon,:host(cds-dropdown[ai-label]) .cds--list-box--invalid .cds--list-box__field:has(.cds--list-box__selection) .cds--list-box__invalid-icon,:host(cds-dropdown[ai-label]) .cds--list-box--warning .cds--list-box__field:has(.cds--list-box__selection) .cds--list-box__invalid-icon{inset-inline-end:7.125rem}@media 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.cds--list-box__selection:before{background-color:var(--cds-border-subtle-01,#c6c6c6);block-size:1rem;content:"";inline-size:.0625rem;margin-inline-end:2.0625rem;position:absolute}.cds--list-box__wrapper--decorator:has(.cds--multi-select) .cds--list-box__menu-icon,.cds--list-box__wrapper--slug:has(.cds--multi-select) .cds--list-box__menu-icon,:has(.cds--multi-select):host(cds-dropdown[ai-label]) .cds--list-box__menu-icon{inset-inline-end:.75rem}.cds--list-box__wrapper--decorator:has(.cds--dropdown) .cds--list-box__menu-icon,.cds--list-box__wrapper--slug:has(.cds--dropdown) .cds--list-box__menu-icon,:has(.cds--dropdown):host(cds-dropdown[ai-label]) .cds--list-box__menu-icon{inset-inline-end:.75rem}:host(cds-dropdown){outline:none}:host(cds-dropdown) .cds--list-box{box-sizing:border-box}:host(cds-dropdown) .cds--list-box--expanded{border-block-end-color:var(--cds-border-subtle)}:host(cds-dropdown) .cds--assistive-text{inset-block-start:-100%;inset-inline-start:-100%}:host(cds-dropdown) .cds--label[hidden]{display:none}:host(cds-dropdown) .cds--list-box__menu{inset-block-start:100%;margin-block-start:1px;outline:none}:host(cds-dropdown[ai-label]) .cds--list-box__wrapper--decorator{background-image:linear-gradient(0deg,var(--cds-ai-aura-start-sm,rgba(69,137,255,.16)) 0,15%,var(--cds-ai-aura-end,hsla(0,0%,100%,0)) 50%,transparent 100%);border-block-end-color:var(--cds-ai-border-strong,#4589ff)}:host(cds-dropdown[invalid]:not([disabled]):not([read-only])) .cds--form__helper-text{color:var(--cds-text-error,#da1e28)!important}:host(cds-dropdown[read-only]) .cds--list-box{background-color:transparent;border-block-end-color:var(--cds-border-subtle)}:host(cds-dropdown[ai-label][disabled]) .cds--list-box,:host(cds-dropdown[ai-label][read-only]) .cds--list-box{border-block-end-color:var(--cds-ai-border-strong,#4589ff)}:host(cds-dropdown[ai-label][disabled]) .cds--list-box__field,:host(cds-dropdown[ai-label][read-only]) .cds--list-box__field{border-block-end:1px solid var(--cds-ai-border-strong,#4589ff)}:host(cds-dropdown[ai-label][disabled]) ::slotted(cds-ai-label):before,:host(cds-dropdown[ai-label][read-only]) ::slotted(cds-ai-label):before{display:none}:host(cds-combo-box[direction=top]) .cds--list-box__menu,:host(cds-dropdown[direction=top]) .cds--list-box__menu{inset-block-start:auto}:host(cds-dropdown[type=inline]){grid-gap:0 1.5rem}:host(cds-dropdown[type=inline]) .cds--list-box__menu{margin-block-start:0}:host(cds-dropdown[type=inline]) .cds--list-box.cds--list-box--inline .cds--list-box__field{padding-block:0;padding-inline-end:3rem;padding-inline-start:1rem}:host(cds-dropdown[type=inline][invalid]:not([disabled]):not([read-only])) .cds--list-box.cds--list-box--inline .cds--list-box__field,:host(cds-dropdown[type=inline][warn]:not([disabled]):not([read-only])) .cds--list-box.cds--list-box--inline .cds--list-box__field{padding-inline-end:4rem}:host(cds-dropdown[ai-label][type=inline]) .cds--list-box__expanded{border-block-end:1px solid 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.cds--form__helper-text{grid-column:2}:host(cds-dropdown[invalid]) .cds--list-box__field,:host(cds-dropdown[warn]) .cds--list-box__field{padding-inline-end:4rem}:host(cds-dropdown[invalid]) .cds--list-box__invalid-icon,:host(cds-dropdown[invalid]) .cds--list-box__invalid-icon--warning,:host(cds-dropdown[warn]) .cds--list-box__invalid-icon,:host(cds-dropdown[warn]) .cds--list-box__invalid-icon--warning{inset-inline-end:2.5rem}:host(cds-dropdown-item){display:block}:host(cds-dropdown-item) .cds--list-box__menu-item__option{block-size:auto}:host(cds-dropdown-item:first-of-type) .cds--list-box__menu-item__option{border-block-start-color:transparent}:host(cds-dropdown-item:not([disabled]):hover){background-color:var(--cds-layer-hover)}:host(cds-dropdown-item[highlighted-next-sibling]) .cds--list-box__menu-item__option{border-block-start-color:transparent}:host(cds-dropdown-item[disabled]) .cds--list-box__menu-item__option{color:var(--cds-text-disabled,hsla(0,0%,9%,.25));cursor:not-allowed;text-decoration:none}:host(cds-dropdown[disabled][invalid]) .cds--list-box__field,:host(cds-dropdown[disabled][warn]) .cds--list-box__field{padding-inline-end:4rem}:host(cds-dropdown-item[disabled][highlighted-next-sibling]:hover) .cds--list-box__menu-item__option{border-block-start-color:var(--cds-border-subtle)}:host(cds-dropdown-item[disabled]:hover) .cds--list-box__menu-item__option{border-block-start-color:var(--cds-border-subtle-01,#c6c6c6)}:host(cds-dropdown-item[selected]) .cds--list-box__menu-item__option{border-block-start-color:transparent;color:var(--cds-text-primary,#161616)}:host(cds-dropdown-item[selected]) .cds--list-box__menu-item__selected-icon{display:block}:host(cds-dropdown-item[selected-next-sibling]) .cds--list-box__menu-item__option{border-block-start-color:transparent}:host(cds-dropdown-item[disabled][selected-next-sibling]:hover) .cds--list-box__menu-item__option{border-block-start-color:var(--cds-border-subtle)}:host(cds-dropdown-item[size=sm]){block-size:2rem}:host(cds-dropdown-item[size=sm]) .cds--list-box__menu-item__option{padding-block:.4375rem}:host(cds-dropdown-item[size=lg]){block-size:3rem}:host(cds-dropdown-item[size=lg]) .cds--list-box__menu-item__option{padding-block:.9375rem}:host(cds-dropdown-skeleton) .cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}:host(cds-dropdown-skeleton) .cds--skeleton:active,:host(cds-dropdown-skeleton) .cds--skeleton:focus,:host(cds-dropdown-skeleton) .cds--skeleton:hover{border:none;cursor:default;outline:none}:host(cds-dropdown-skeleton) .cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){:host(cds-dropdown-skeleton) .cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){:host(cds-dropdown-skeleton) .cds--skeleton{background:CanvasText}:host(cds-dropdown-skeleton) .cds--skeleton:before{background:Canvas;forced-color-adjust:none}}:host(cds-dropdown[ai-label]) ::slotted(cds-ai-label),:host(cds-dropdown[ai-label]) ::slotted(cds-slug){inset-block-start:50%;inset-inline-end:2.5rem;position:absolute}:host(cds-dropdown[ai-label]) ::slotted(cds-ai-label){align-items:center;display:inline-flex;margin-inline-end:.5625rem}:host(cds-dropdown[ai-label]) ::slotted(cds-ai-label):after{background-color:var(--cds-border-subtle-01,#c6c6c6);block-size:1rem;content:"";display:block;inline-size:.0625rem;inset-block-start:.0625rem;inset-inline-end:calc(-.5rem - 1px);position:absolute}:host(cds-dropdown[ai-label]) ::slotted(cds-ai-label:not([revert-active])),:host(cds-dropdown[ai-label]) ::slotted(cds-slug:not([revert-active])){transform:translateY(-50%)}:host(cds-dropdown[ai-label]) .cds--list-box__invalid-icon,:host(cds-dropdown[ai-label]) .cds--list-box__invalid-icon--warning{inset-inline-end:5.0625rem}:host(cds-dropdown[ai-label][invalid]:not([disabled]):not([read-only])) .cds--list-box .cds--list-box__field,:host(cds-dropdown[ai-label][warn]:not([disabled]):not([read-only])) .cds--list-box .cds--list-box__field{padding-inline-end:6rem}:host(cds-dropdown[ai-label][invalid]:not([disabled]):not([read-only])) ::slotted(cds-ai-label):before,:host(cds-dropdown[ai-label][warn]:not([disabled]):not([read-only])) ::slotted(cds-ai-label):before{background-color:var(--cds-border-subtle-01,#c6c6c6);block-size:1rem;content:"";display:block;inline-size:.0625rem;inset-block-start:.0625rem;inset-inline-start:calc(-.5rem - 1px);position:absolute}:host(cds-dropdown[ai-label][invalid]:not([disabled]):not([read-only])) ::slotted(cds-ai-label),:host(cds-dropdown[ai-label][invalid]:not([disabled]):not([read-only])) ::slotted(cds-slug),:host(cds-dropdown[ai-label][warn]:not([disabled]):not([read-only])) ::slotted(cds-ai-label),:host(cds-dropdown[ai-label][warn]:not([disabled]):not([read-only])) ::slotted(cds-slug){inset-inline-end:2.5rem}']);let Fd=class extends((0,Ld.A)((0,id.A)((0,fd.A)((0,Gc.A)(re.WF))))){constructor(){super(...arguments),this._hasAILabel=!1,this._aiDecoratorNodes=[],this._floatingController=new Vd.A(this),this._handleAIDecoratorInteraction=()=>{this.open&&this._handleUserInitiatedToggle(!1)},this._selectedItemContent=null,this._shouldTriggerBeFocusable=!0,this.ariaLabel="",this.direction=Wd.BOTTOM,this.autoalign=!1,this.disabled=!1,this.helperText="",this.hideLabel=!1,this.invalid=!1,this.invalidText="",this.titleText="",this.name="",this.open=!1,this.readOnly=!1,this.required=!1,this.requiredValidityMessage="Please fill out this field.",this.size=Ud.MEDIUM,this.toggleLabelClosed="",this.toggleLabelOpen="",this.label="",this.type=jd.DEFAULT,this.validityMessage="",this.value="",this.warn=!1,this.warnText=""}_selectionShouldChange(e){return!e||e.value!==this.value}_selectionDidChange(e){const t=this.constructor;e?(this.value=e.value,this._activeDescendant=e.id,(0,bd.jJ)(this.querySelectorAll(t.selectorItemSelected),e=>{e.selected=!1,e.setAttribute("aria-selected","false")}),e.selected=!0,e.setAttribute("aria-selected","true"),this._updateSelectedNextSibling(e)):this._updateSelectedNextSibling()}_handleClickInner(e){if(!this.readOnly)if(this.shadowRoot.contains(e.target)){const e=!this.open,t=this.constructor,o=this.querySelector(t.selectorItemSelected);if(e){const e=Boolean(o);this._handleUserInitiatedToggle(!0,{focusMenu:e,highlightSelectedOnOpen:e})}else this._handleUserInitiatedToggle(!1,{restoreTriggerFocus:!0})}else{const t=e.target.closest(this.constructor.selectorItem);this.contains(t)&&this._handleUserInitiatedSelectItem(t)}}_handleKeydownInner(e){var t;if(this._handleMenuInputKeydown(e))return;const{key:o}=e,r=this.constructor.getAction(o);if(this.open)switch(r){case Yd.CLOSING:this._handleUserInitiatedToggle(!1,{restoreTriggerFocus:!0});break;case Yd.NAVIGATING:{e.preventDefault();const r=null===(t=this.shadowRoot)||void 0===t?void 0:t.getElementById("menu-body"),n=this._menuInputNode;this._shouldRetainMenuInputFocus(e)&&n?n.focus({preventScroll:!0}):r&&r.focus(),this._navigate(Zd[o]);break}}else switch(r){case Yd.NAVIGATING:{const t=this._shouldRetainMenuInputFocus(e),r=this._menuInputNode;if(this.readOnly)return void e.preventDefault();const n=Zd[o];if(e.preventDefault(),-1===n)break;const s=this.constructor,a=this.querySelector(s.selectorItemSelected),i=Boolean(a);this._handleUserInitiatedToggle(!0,{focusMenu:!1,highlightSelectedOnOpen:i}),this.updateComplete.then(()=>{var e;const o=this.constructor,n=this.querySelectorAll(o.selectorItem);if(n.length>0){const s=this.querySelector(o.selectorItemSelected),a=Array.from(n).find(e=>!e.hasAttribute("disabled")),i=s&&!s.hasAttribute("disabled")?s:null!=a?a:null;i?this._setHighlightedItem(i,{scrollIntoView:!0}):this._clearHighlight();const c=null===(e=this.shadowRoot)||void 0===e?void 0:e.getElementById("menu-body");t&&r?r.focus({preventScroll:!0}):c&&c.focus()}});break}}}_handleMenuInputKeydown(e){if(e.defaultPrevented||!this._supportsMenuInputFiltering||!this._menuInputNode)return!1;const t=this._menuInputNode;if(!t)return!1;const o=e.target===t,r=Boolean(t.value||this.value);return"Escape"===e.key&&r&&this._shouldClearMenuInputOnEscape({event:e,menuOpen:this.open,isInputTarget:o})?(e.preventDefault(),this._clearMenuInputFiltering(),!0):!(!this.open||o)&&(!!this._shouldForwardKeyToMenuInput(e)&&(e.preventDefault(),this._forwardKeyToMenuInput(e,t),!0))}_shouldClearMenuInputOnEscape({menuOpen:e}){return e}get _supportsMenuInputFiltering(){return!1}get _menuInputNode(){return null}_clearMenuInputFiltering(){}_shouldForwardKeyToMenuInput(e){if(e.altKey||e.metaKey||e.ctrlKey)return!1;const{key:t}=e;return"Backspace"===t||"Delete"===t||1===t.length}_forwardKeyToMenuInput(e,t){var o,r;t.focus({preventScroll:!0});const n=e.key,s=null!==(o=t.selectionStart)&&void 0!==o?o:t.value.length,a=null!==(r=t.selectionEnd)&&void 0!==r?r:t.value.length;if("Backspace"===n){if(0===s&&0===a)return;const e=s===a?Math.max(0,s-1):s;t.setRangeText("",e,a,"end")}else if("Delete"===n){if(s===t.value.length&&s===a)return;const e=s===a?Math.min(t.value.length,a+1):a;t.setRangeText("",s,e,"end")}else 1===n.length&&t.setRangeText(n,s,a,"end");t.dispatchEvent(new Event("input",{bubbles:!0,composed:!0}))}_shouldRetainMenuInputFocus(e){if(!this._supportsMenuInputFiltering||!this._menuInputNode)return!1;if(e.target===this._menuInputNode)return!0;return("function"==typeof e.composedPath?e.composedPath():[]).includes(this._menuInputNode)}_handleKeypressInner(e){const{key:t}=e,o=this.constructor.getAction(t);if(this.open)switch(o){case Yd.TRIGGERING:{const e=this.constructor,t=this.querySelector(e.selectorItemSelected),o=this.querySelector(e.selectorItemHighlighted);o?this._handleUserInitiatedSelectItem(o):t?this._handleUserInitiatedSelectItem(t):this._handleUserInitiatedToggle(!1,{restoreTriggerFocus:!0});break}}else{if(this.readOnly&&o===Yd.TRIGGERING)return void(" "!==t&&"Space"!==t||e.preventDefault());switch(o){case Yd.TRIGGERING:{" "!==t&&"Space"!==t||e.preventDefault();const o=this.constructor,r=this.querySelector(o.selectorItemSelected),n=Boolean(r);this._handleUserInitiatedToggle(!0,{focusMenu:n,highlightSelectedOnOpen:n});break}}}}_handleMouseoverInner(e){if(!this.open)return;const t=this._getDropdownItemFromEvent(e);t&&(t.hasAttribute("disabled")?this._clearHighlight():this._setHighlightedItem(t))}_handleMouseleaveInner(e){var t,o,r;if(!this.open)return;const n=null===(t=this.shadowRoot)||void 0===t?void 0:t.getElementById("menu-body"),s=e.relatedTarget;if(n&&s&&n.contains(s))return;const a=null===(o=this.shadowRoot)||void 0===o?void 0:o.activeElement;n&&a&&n.contains(a)||this._supportsMenuInputFiltering&&this._menuInputNode&&(null===(r=this.shadowRoot)||void 0===r?void 0:r.activeElement)===this._menuInputNode||this._clearHighlight()}_handleFocusOut(e){this.contains(e.relatedTarget)||this._handleUserInitiatedToggle(!1)}_handleSlotchangeHelperText(){this.requestUpdate()}_handleSlotchangeLabelText(){this.requestUpdate()}_handleAILabelSlotChange({target:e}){var t;const o=e.assignedNodes().filter(e=>void 0!==e.matches&&(e.matches(this.constructor.aiLabelItem)||e.matches(this.constructor.slugItem))).filter(e=>e instanceof HTMLElement);this._updateAIDecoratorListeners(o),this._hasAILabel=Boolean(o.length),null===(t=o[0])||void 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t=null===(e=this.shadowRoot)||void 0===e?void 0:e.getElementById("trigger-button");null==t||t.focus()});this.open||this._clearHighlight(),this.requestUpdate(),this.dispatchEvent(new CustomEvent(a,c))}}_clearHighlight(){this._setHighlightedItem()}_getDropdownItemFromEvent(e){const t=this.constructor.selectorItem,o=e.composedPath();for(const e of o)if(e instanceof Element&&"function"==typeof e.matches&&e.matches(t))return e;return null}_setHighlightedItem(e,{scrollIntoView:t=!1}={}){const o=this.constructor,r=this.querySelectorAll(o.selectorItem),n=e&&!e.hasAttribute("disabled")?e:null;if((0,bd.jJ)(r,e=>{const t=e;t.highlighted=t===n,t.removeAttribute("highlighted-next-sibling")}),n){const e=this._getNextDropdownItem(n);e&&e.setAttribute("highlighted-next-sibling","");const o=n.id;o&&(this._activeDescendant=o),t&&n.scrollIntoView({block:"nearest"})}else this._activeDescendant=void 0}_getNextDropdownItem(e){const t=this.constructor.selectorItem;let o=e.nextElementSibling;for(;o;){if("function"==typeof o.matches&&o.matches(t))return o;o=o.nextElementSibling}return null}_updateSelectedNextSibling(e){const t=this.constructor;if((0,bd.jJ)(this.querySelectorAll(t.selectorItem),e=>{e.removeAttribute("selected-next-sibling")}),e){const t=this._getNextDropdownItem(e);t&&t.setAttribute("selected-next-sibling","")}}_highlightSelectedItem(){const e=this.constructor,t=this.querySelector(e.selectorItemSelected);t&&!t.hasAttribute("disabled")?this._setHighlightedItem(t,{scrollIntoView:!0}):this._clearHighlight()}_navigate(e){var t;const o=this.constructor,r=this.querySelectorAll(o.selectorItem);if(!r.length)return;const n=this.querySelector(o.selectorItemHighlighted),s=(0,bd.qh)(r,n);let a=-1===s?e>0?0:r.length-1:s+e;for(;a>=0&&a=r.length)return;const i=r[a];this._setHighlightedItem(i,{scrollIntoView:!0})}_renderPrecedingLabel(){}_renderLabel(){const{label:e,_selectedItemContent:t}=this;return re.qy` ${t||e} 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e=(0,bd.I6)(this.querySelectorAll(t),e=>e.value===this.value);if(e){const t=this.ownerDocument.createRange();t.selectNodeContents(e),this._selectedItemContent=t.cloneContents()}else this._selectedItemContent=null;this._updateSelectedNextSibling(e)}return!0}updated(e){var t,o,r,n,s;this._hasAILabel?this.setAttribute("ai-label",""):this.removeAttribute("ai-label");const a=null===(t=this.shadowRoot)||void 0===t?void 0:t.querySelector("slot[name='ai-label']");a?null==a||a.classList.toggle(`${ic.P}--slug--revert`,null===(o=this.querySelector(`${ic.P}-ai-label`))||void 0===o?void 0:o.hasAttribute("revert-active")):null===(n=null===(r=this.shadowRoot)||void 0===r?void 0:r.querySelector("slot[name='slug']"))||void 0===n||n.classList.toggle(`${ic.P}--slug--revert`,null===(s=this.querySelector(`${ic.P}-slug`))||void 0===s?void 0:s.hasAttribute("revert-active")),this.autoalign&&this.open&&(e.has("open")||e.has("autoalign")&&this.autoalign||e.has("direction")||e.has("size"))?this._updateAutoAlignPlacement():(e.has("autoalign")&&!this.autoalign||e.has("open")&&!this.open)&&(this._floatingController.hostDisconnected(),this._resetFloatingStyles())}_resetFloatingStyles(){const e=this._menuBodyNode;e&&(e.style.removeProperty("left"),e.style.removeProperty("top"),e.style.removeProperty("position"),e.style.removeProperty("width"),e.style.removeProperty("visibility"),e.removeAttribute("align"))}_updateAutoAlignPlacement(){if(!this.autoalign||!this.open)return;const e=this._menuBodyNode,t=this._triggerButtonNode||this._listBoxNode;if(!e||!t)return;const o=this.direction===Wd.TOP?Wd.TOP:Wd.BOTTOM;this._floatingController.setPlacement({alignment:o,matchWidth:!0,open:this.open,target:e,trigger:t})}get 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e;const{ariaLabel:t,_classes:o,helperText:r,invalidText:n,open:s,toggleLabelClosed:a,toggleLabelOpen:i,type:c,warnText:d,_activeDescendant:l,_shouldTriggerBeFocusable:p,_handleClickInner:u,_handleKeydownInner:h,_handleKeypressInner:f,_handleMouseleaveInner:m,_handleMouseoverInner:v,_handleSlotchangeHelperText:g,_handleAILabelSlotChange:b,_slotHelperTextNode:O}=this,y=c===jd.INLINE,k=this._normalizedProps;let x;if(s&&!l){const t=this.constructor;x=null===(e=this.querySelectorAll(t.selectorItem)[0])||void 0===e?void 0:e.id}const _=(0,Ei.H)({[`${ic.P}--form__helper-text`]:!0,[`${ic.P}--form__helper-text--disabled`]:k.disabled}),w=(0,Ei.H)({[`${ic.P}--list-box__menu-icon`]:!0,[`${ic.P}--list-box__menu-icon--open`]:s}),$=(s?i:a)||"",S=r||n||d||O&&O.assignedNodes().length>0,Q=k.invalid?(0,Ci.L)(fc.A,{class:`${ic.P}--list-box__invalid-icon`,"aria-label":$}):void 0,z=k.warn?(0,Ci.L)(mc.A,{class:`${ic.P}--list-box__invalid-icon ${ic.P}--list-box__invalid-icon--warning`,"aria-label":$}):void 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`;return re.qy` ${this._renderTitleLabel()}
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${T}
${P}
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path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary{background-color:transparent;border-color:var(--cds-button-danger-secondary,#da1e28);border-style:solid;border-width:1px;color:var(--cds-button-danger-secondary,#da1e28)}.cds--btn--danger--tertiary:hover{background-color:var(--cds-button-danger-hover,#b81921)}.cds--btn--danger--tertiary:focus{border-color:var(--cds-button-focus-color,var(--cds-focus,#0f62fe));box-shadow:inset 0 0 0 1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--danger--tertiary .cds--btn__icon,.cds--btn--danger--tertiary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger--tertiary:hover{border-color:var(--cds-button-danger-hover,#b81921);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary:focus{background-color:var(--cds-button-danger-primary,#da1e28);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary:active{background-color:var(--cds-button-danger-active,#750e13);border-color:var(--cds-button-danger-active,#750e13);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary.cds--btn--disabled,.cds--btn--danger--tertiary.cds--btn--disabled:focus,.cds--btn--danger--tertiary.cds--btn--disabled:hover,.cds--btn--danger--tertiary:disabled,.cds--btn--danger--tertiary:focus:disabled,.cds--btn--danger--tertiary:hover:disabled{background:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--danger--ghost{background-color:transparent;border:1px solid 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.cds--btn__icon{margin-inline-start:.5rem;position:static}.cds--btn--danger--ghost:active,.cds--btn--danger--ghost:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--ghost.cds--btn--disabled,.cds--btn--danger--ghost.cds--btn--disabled:focus,.cds--btn--danger--ghost.cds--btn--disabled:hover,.cds--btn--danger--ghost:disabled,.cds--btn--danger--ghost:focus:disabled,.cds--btn--danger--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--expressive{font-size:var(--cds-body-compact-02-font-size,1rem);font-weight:var(--cds-body-compact-02-font-weight,400);letter-spacing:var(--cds-body-compact-02-letter-spacing,0);line-height:var(--cds-body-compact-02-line-height,1.375);padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh))/2 - .0625rem,var(--temp-padding-block-max))}.cds--btn--icon-only.cds--btn--expressive{padding:12px 13px}.cds--btn.cds--btn--expressive .cds--btn__icon{block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn.cds--skeleton{background:CanvasText}.cds--btn.cds--skeleton:before{background:Canvas;forced-color-adjust:none}}.cds--btn.cds--skeleton{inline-size:9.375rem}.cds--btn-set{display:flex}.cds--btn-set--stacked{flex-direction:column}.cds--btn-set .cds--btn{inline-size:100%;max-inline-size:12.25rem}.cds--btn-set .cds--btn:not(:focus){box-shadow:-.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set .cds--btn:first-of-type:not(:focus),.cds--btn-set .cds--btn:focus+.cds--btn{box-shadow:inherit}.cds--btn-set--stacked .cds--btn:not(:focus){box-shadow:0 -.0625rem 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--stacked .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn.cds--btn--disabled{box-shadow:-.0625rem 0 0 0 var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn-set .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set--stacked .cds--btn.cds--btn--disabled{box-shadow:0 -.0625rem 0 0 var(--cds-layer-selected-disabled,#8d8d8d)}.cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set .cds--btn.cds--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds--btn--sm .cds--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds--btn-set .cds--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--fluid{container-type:inline-size}.cds--btn-set--fluid .cds--btn-set__fluid-inner{--flex-direction:row;align-items:stretch;display:flex;flex-direction:var(--flex-direction);inline-size:100%;justify-content:flex-end}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{flex:0 1 25%;max-inline-size:14.5rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{min-inline-size:11rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--danger--ghost,.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--ghost{flex:1 1 25%;max-inline-size:none;padding-inline-start:2rem}@container (width <= 11rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 22rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:nth-child(2):last-child) .cds--btn{flex-basis:50%;max-inline-size:none}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:first-child:last-child) .cds--btn{flex:1 1 100%;max-inline-size:none}}.cds--overflow-menu,.cds--overflow-menu__trigger,:host(cds-breadcrumb-overflow-menu),:host(cds-overflow-menu){-webkit-appearance:none;-moz-appearance:none;appearance:none;background:none;display:inline-block;inline-size:100%;text-align:start}.cds--overflow-menu::-moz-focus-inner,.cds--overflow-menu__trigger::-moz-focus-inner{border:0}.cds--overflow-menu,.cds--overflow-menu__trigger,:host(cds-breadcrumb-overflow-menu),:host(cds-overflow-menu){border:0;box-sizing:border-box;font-family:inherit;font-size:100%;margin:0;padding:0;vertical-align:baseline}.cds--overflow-menu *,.cds--overflow-menu :after,.cds--overflow-menu :before,.cds--overflow-menu__trigger *,.cds--overflow-menu__trigger :after,.cds--overflow-menu__trigger :before,:host(cds-breadcrumb-overflow-menu) *,:host(cds-breadcrumb-overflow-menu) :after,:host(cds-breadcrumb-overflow-menu) :before,:host(cds-overflow-menu) *,:host(cds-overflow-menu) :after,:host(cds-overflow-menu) :before{box-sizing:inherit}.cds--overflow-menu,.cds--overflow-menu__trigger,:host(cds-breadcrumb-overflow-menu),:host(cds-overflow-menu){align-items:center;block-size:2.5rem;cursor:pointer;display:flex;inline-size:2.5rem;justify-content:center;min-block-size:2.5rem;outline:2px solid transparent;outline-offset:-2px;position:relative;transition:outline .11s cubic-bezier(0,0,.38,.9),background-color .11s cubic-bezier(0,0,.38,.9)}.cds--overflow-menu:focus,.cds--overflow-menu__trigger:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--overflow-menu:focus,.cds--overflow-menu__trigger:focus{outline-style:dotted}}.cds--overflow-menu:hover,.cds--overflow-menu__trigger:hover{background-color:var(--cds-background-hover,hsla(0,0%,55%,.12))}.cds--overflow-menu>:first-child,:host(cds-breadcrumb-overflow-menu)>:first-child,:host(cds-overflow-menu)>:first-child{margin-block-start:0}.cds--overflow-menu--xs,:host(cds-breadcrumb-overflow-menu[size=xs]),:host(cds-overflow-menu[size=xs]){block-size:1.5rem;inline-size:1.5rem;min-block-size:1.5rem}.cds--overflow-menu--sm,:host(cds-breadcrumb-overflow-menu[size=sm]),:host(cds-overflow-menu[size=sm]){block-size:2rem;inline-size:2rem;min-block-size:2rem}.cds--overflow-menu--lg,:host(cds-breadcrumb-overflow-menu[size=lg]),:host(cds-overflow-menu[size=lg]){block-size:3rem;inline-size:3rem}.cds--overflow-menu__trigger.cds--tooltip--a11y.cds--tooltip__trigger:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--overflow-menu__trigger.cds--tooltip--a11y.cds--tooltip__trigger:focus{outline-style:dotted}}.cds--overflow-menu__trigger.cds--tooltip--a11y.cds--tooltip__trigger:focus svg{outline:none}.cds--overflow-menu.cds--overflow-menu--open,.cds--overflow-menu.cds--overflow-menu--open .cds--overflow-menu__trigger{background-color:var(--cds-layer);box-shadow:0 2px 6px var(--cds-shadow,rgba(0,0,0,.3));transition:none}.cds--overflow-menu--light.cds--overflow-menu--open,.cds--overflow-menu--light.cds--overflow-menu--open .cds--overflow-menu__trigger{background-color:var(--cds-layer)}.cds--overflow-menu__icon,:host(cds-breadcrumb-overflow-menu) ::slotted(.cds--overflow-menu__icon),:host(cds-overflow-menu) ::slotted(.cds--overflow-menu__icon){block-size:1rem;fill:var(--cds-icon-primary,#161616);inline-size:1rem}.cds--overflow-menu__wrapper{line-height:0}.cds--overflow-menu-options,:host(cds-overflow-menu-body){border:0;box-sizing:border-box;font-family:inherit;font-size:100%;margin:0;padding:0;vertical-align:baseline}.cds--overflow-menu-options *,.cds--overflow-menu-options :after,.cds--overflow-menu-options :before,:host(cds-overflow-menu-body) *,:host(cds-overflow-menu-body) :after,:host(cds-overflow-menu-body) :before{box-sizing:inherit}.cds--overflow-menu-options,:host(cds-overflow-menu-body){align-items:flex-start;background-color:var(--cds-layer);box-shadow:0 2px 6px var(--cds-shadow,rgba(0,0,0,.3));display:none;flex-direction:column;inline-size:10rem;inset-block-start:2rem;inset-inline-start:0;list-style:none;position:absolute;z-index:6000}.cds--overflow-menu-options:after{background-color:var(--cds-layer);content:"";display:block;position:absolute;transition:background-color .11s 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(prefers-reduced-motion:reduce){.cds--overflow-menu-options:after{transition:none}}.cds--overflow-menu.cds--overflow-menu--open:hover{background-color:var(--cds-layer)}.cds--overflow-menu-options--light{background-color:var(--cds-layer-hover)}.cds--overflow-menu-options--light:after{background-color:var(--cds-layer)}.cds--overflow-menu.cds--overflow-menu--light.cds--overflow-menu--open:hover{background-color:var(--cds-layer-hover)}.cds--overflow-menu-options[data-floating-menu-direction=bottom]:not(.cds--breadcrumb-menu-options):after{block-size:.1875rem;inline-size:2.5rem;inset-block-start:-.1875rem;inset-inline-start:0}.cds--overflow-menu-options[data-floating-menu-direction=top]:after{block-size:.5rem;inline-size:2.5rem;inset-block-end:-.5rem;inset-inline-start:0}.cds--overflow-menu-options[data-floating-menu-direction=left]:after{block-size:2.5rem;inline-size:.375rem;inset-block-start:0;inset-inline-end:-.375rem}.cds--overflow-menu-options[data-floating-menu-direction=right]:after{block-size:2.5rem;inline-size:.375rem;inset-block-start:0;inset-inline-start:-.375rem}.cds--overflow-menu-options--xs.cds--overflow-menu-options[data-floating-menu-direction=bottom]:after,.cds--overflow-menu-options--xs.cds--overflow-menu-options[data-floating-menu-direction=top]:after{inline-size:1.5rem}.cds--overflow-menu-options--xs.cds--overflow-menu-options[data-floating-menu-direction=left]:after,.cds--overflow-menu-options--xs.cds--overflow-menu-options[data-floating-menu-direction=right]:after{block-size:1.5rem}.cds--overflow-menu-options--sm.cds--overflow-menu-options[data-floating-menu-direction=bottom]:after,.cds--overflow-menu-options--sm.cds--overflow-menu-options[data-floating-menu-direction=top]:after{inline-size:2rem}.cds--overflow-menu-options--sm.cds--overflow-menu-options[data-floating-menu-direction=left]:after,.cds--overflow-menu-options--sm.cds--overflow-menu-options[data-floating-menu-direction=right]:after{block-size:2rem}.cds--overflow-menu-options--lg.cds--overflow-menu-options[data-floating-menu-direction=bottom]:after,.cds--overflow-menu-options--lg.cds--overflow-menu-options[data-floating-menu-direction=top]:after{inline-size:3rem}.cds--overflow-menu-options--lg.cds--overflow-menu-options[data-floating-menu-direction=left]:after,.cds--overflow-menu-options--lg.cds--overflow-menu-options[data-floating-menu-direction=right]:after{block-size:3rem}.cds--overflow-menu--flip.cds--overflow-menu-options[data-floating-menu-direction=bottom]:after,.cds--overflow-menu--flip.cds--overflow-menu-options[data-floating-menu-direction=top]:after{inset-inline:auto 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var(--cds-border-subtle)}.cds--overflow-menu--light .cds--overflow-menu--divider,.cds--overflow-menu--light :host(cds-overflow-menu-item[divider]){border-block-start:1px solid var(--cds-border-subtle)}a.cds--overflow-menu-options__btn:before{block-size:100%;content:"";display:inline-block;vertical-align:middle}.cds--overflow-menu-options__btn{align-items:center;background-color:transparent;block-size:100%;border:none;color:var(--cds-text-secondary,#525252);cursor:pointer;display:inline-flex;font-family:inherit;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:var(--cds-body-compact-01-font-weight,400);font-weight:400;inline-size:100%;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);max-inline-size:11.25rem;outline:2px solid transparent;outline-offset:-2px;padding:0 1rem;text-align:start;transition:outline .11s cubic-bezier(0,0,.38,.9),background-color .11s cubic-bezier(0,0,.38,.9),color .11s 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.cds--overflow-menu-options__btn:hover{background-color:var(--cds-button-danger-primary,#da1e28);color:var(--cds-text-on-color,#fff)}.cds--overflow-menu-options__option--danger .cds--overflow-menu-options__btn:focus svg,.cds--overflow-menu-options__option--danger .cds--overflow-menu-options__btn:hover svg,:host(cds-overflow-menu-item[danger]) .cds--overflow-menu-options__btn:focus svg,:host(cds-overflow-menu-item[danger]) .cds--overflow-menu-options__btn:hover svg{fill:currentColor}.cds--overflow-menu-options__option--disabled:hover{background-color:var(--cds-layer);cursor:not-allowed}.cds--overflow-menu-options__option--disabled .cds--overflow-menu-options__btn,:host(cds-overflow-menu-item[disabled]) .cds--overflow-menu-options__btn{color:var(--cds-text-disabled,hsla(0,0%,9%,.25));cursor:not-allowed}.cds--overflow-menu-options__option--disabled .cds--overflow-menu-options__btn:active,.cds--overflow-menu-options__option--disabled .cds--overflow-menu-options__btn:focus,.cds--overflow-menu-options__option--disabled .cds--overflow-menu-options__btn:hover,:host(cds-overflow-menu-item[disabled]) .cds--overflow-menu-options__btn:active,:host(cds-overflow-menu-item[disabled]) .cds--overflow-menu-options__btn:focus,:host(cds-overflow-menu-item[disabled]) .cds--overflow-menu-options__btn:hover{background-color:var(--cds-layer);color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:2px solid transparent;outline-offset:-2px}.cds--overflow-menu-options__option--disabled .cds--overflow-menu-options__btn svg,:host(cds-overflow-menu-item[disabled]) .cds--overflow-menu-options__btn svg{fill:var(--cds-icon-disabled,hsla(0,0%,9%,.25))}.cds--overflow-menu--flip{inset-inline-start:-140px}.cds--overflow-menu--flip:before{inset-inline-start:145px}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--overflow-menu-options__btn:focus,.cds--overflow-menu:focus{color:Highlight;outline:1px solid 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and (prefers-reduced-motion:reduce){:host(cds-overflow-menu-body):after{transition:none}}:host(cds-overflow-menu-body[direction=top]){margin-block:0 .25rem}:host(cds-overflow-menu-item){outline:none}:host(cds-overflow-menu-item) button:hover{background-color:var(--cds-layer-hover)}:host(cds-overflow-menu-item[size=xs]){block-size:1.5rem}:host(cds-overflow-menu-item[size=sm]){block-size:2rem}:host(cds-overflow-menu-item[size=lg]){block-size:3rem}:host(cds-overflow-menu[breadcrumb]){background:none;block-size:1.125rem;box-shadow:none;inline-size:1rem;min-block-size:1.125rem}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button{block-size:1.125rem;inline-size:1rem;min-block-size:1.125rem;position:relative}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:active,:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:focus,:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:hover{background:none;box-shadow:none;box-sizing:border-box;outline-offset:0}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:active:after,:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:focus:after,:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:hover:after{opacity:1}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:active,:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:focus{outline:1px solid var(--cds-focus,#0f62fe)}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:hover:after{background:var(--cds-link-primary-hover,#0043ce)}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:active:after{background:var(--cds-text-primary,#161616)}:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:after{background:var(--cds-focus,#0f62fe);block-size:1px;content:"";inline-size:.75rem;inset-block-end:2px;opacity:0;position:absolute;transition:opacity 70ms cubic-bezier(.2,0,.38,.9)}@media screen and (prefers-reduced-motion:reduce){:host(cds-overflow-menu[breadcrumb]) cds-tooltip button:after{transition:none}}:host(cds-overflow-menu[breadcrumb]) ::slotted([slot=icon]){fill:var(--cds-link-primary,#0f62fe);transform:translateY(4px)}:host(cds-overflow-menu[breadcrumb]:hover) ::slotted([slot=icon]){fill:var(--cds-link-primary-hover,#0043ce)}:host(cds-overflow-menu[breadcrumb]:active) ::slotted([slot=icon]){fill:var(--cds-text-primary,#161616)}:host(cds-overflow-menu[breadcrumb][breadcrumb-size=sm]) cds-tooltip button{block-size:1rem;min-block-size:1rem}:host(cds-overflow-menu[breadcrumb][breadcrumb-size=sm]) ::slotted([slot=icon]){transform:translateY(3px)}:host(cds-overflow-menu-body[breadcrumb=true]):after{background:transparent;block-size:0;border-block-end:.4375rem solid var(--cds-field);border-inline-end:.4375rem solid transparent;border-inline-start:.4375rem solid transparent;inline-size:0;inset-block-start:-.4375rem;inset-inline-start:.875rem;margin:0 auto}']);let Nl=class extends((0,id.A)((0,Gc.A)(Gi.Ay))){constructor(){super(...arguments),this._menuBody=null,this._handleClickTrigger=async()=>{this._handleUserInitiatedToggle()},this._handleKeydownTrigger=async e=>{" "!==e.key&&"Enter"!==e.key||(this._handleUserInitiatedToggle(),e.preventDefault())},this.dataTable=!1,this.disabled=!1,this.flipped=!1,this.open=!1,this.index=1,this.size=Rl.MEDIUM,this.toolbarAction=!1,this.breadcrumb=!1}async _handleUserInitiatedToggle(){this.open=!this.open;const{index:e,open:t,updateComplete:o}=this;if(t){await o;const{_menuBody:t}=this,r=null==t?void 0:t.querySelector(`${ic.P}-overflow-menu-item:nth-of-type(${e})`);null==r||r.focus()}}get triggerPosition(){return this.getBoundingClientRect()}connectedCallback(){this.hasAttribute("aria-haspopup")||this.setAttribute("aria-haspopup","true"),this.shadowRoot||this.attachShadow({mode:"open"}),super.connectedCallback(),(0,re.Rf)(this.renderRoot,[ql.A,Il])}updated(e){var t,o,r,n,s,a,i;const c=null===(o=null===(t=this.shadowRoot)||void 0===t?void 0:t.querySelector(`${ic.P}-tooltip`))||void 0===o?void 0:o.querySelector("button");if(null==c||c.classList.add(`${ic.P}--btn--icon-only`,`${ic.P}--overflow-menu`),e.has("open")){const{open:e}=this;e&&!this._menuBody&&(this._menuBody=(0,bd.I6)(this.childNodes,e=>e.constructor.FLOATING_MENU));const{_menuBody:t,size:o}=this;if(t){t.setAttribute("breadcrumb",String(Boolean(this.breadcrumb))),t.open=e,t.size=o;const n=null===(r=this.querySelector("[slot=tooltip-content]"))||void 0===r?void 0:r.textContent;null==c||c.setAttribute("aria-expanded",String(Boolean(e))),null==c||c.setAttribute("aria-label",String(n))}}if(e.has("dataTable")){const e=null===(n=this.shadowRoot)||void 0===n?void 0:n.querySelector(`${ic.P}-tooltip`);null==e||e.setAttribute("data-table","")}if(e.has("size")){null==c||c.classList.forEach(e=>{e.startsWith(`${ic.P}--overflow-menu--`)&&(null==c||c.classList.remove(e))}),null==c||c.classList.add(`${ic.P}--overflow-menu--${this.size}`);const e=null===(s=this.shadowRoot)||void 0===s?void 0:s.querySelector(`${ic.P}-tooltip`);null==e||e.setAttribute("size",this.size)}e.has("toolbarAction")&&this.toolbarAction&&(null===(i=null===(a=this.shadowRoot)||void 0===a?void 0:a.querySelector(`${ic.P}-tooltip`))||void 0===i||i.setAttribute("toolbar-action","")),super.updated(e)}render(){return re.qy`${super.render()} `}};(0,te.Cg)([(0,ad.A)("click")],Nl.prototype,"_handleClickTrigger",void 0),(0,te.Cg)([(0,ad.A)("keydown")],Nl.prototype,"_handleKeydownTrigger",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"data-table"})],Nl.prototype,"dataTable",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nl.prototype,"disabled",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nl.prototype,"flipped",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nl.prototype,"open",void 0),(0,te.Cg)([(0,ki.MZ)()],Nl.prototype,"index",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0})],Nl.prototype,"size",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,attribute:"toolbar-action",reflect:!0})],Nl.prototype,"toolbarAction",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Nl.prototype,"breadcrumb",void 0),Nl=(0,te.Cg)([(0,cc.Q)(`${ic.P}-overflow-menu`)],Nl);var Dl,Ll,Vl=Nl;!function(e){e.LTR="ltr",e.RTL="rtl"}(Dl||(Dl={})),function(e){e.TOP="top",e.BOTTOM="bottom"}(Ll||(Ll={}));const Zl=(e,t)=>(e.observe(t),{release(){return e.unobserve(t),null}}),Yl=(e,t)=>{const o=e.closest(t);if(o)return o;const{host:r}=e.getRootNode();return r?Yl(r,t):null};class Ul extends((0,id.A)((0,Gc.A)(re.WF))){constructor(){super(...arguments),this._hObserveResizeParent=null,this._hObserveResizeContainer=null,this._resizeObserver=new ResizeObserver(()=>{const{container:e,open:t,parent:o,position:r}=this;if(e&&t&&o){const{direction:e,start:t,top:o}=r;this.style[e!==Dl.RTL?"left":"right"]=`${t}px`,this.style.top=`${o}px`}}),this._handleBlur=({relatedTarget:e})=>{if(!this.contains(e)){const{parent:t}=this;t&&t!==e&&(t.open=!1,HTMLElement.prototype.focus.call(this.parent))}},this._click=()=>{const{parent:e}=this;e&&(e.open=!1)},this._handleKeyDown=e=>{if("Tab"===e.key&&e.shiftKey){const{parent:e}=this;e&&(e.open=!1)}},this.parent=null}get container(){return Yl(this,this.constructor.selectorContainer)||this.ownerDocument.body}get position(){const{triggerPosition:e}=this.parent;if(!e)throw new TypeError("Missing information of trigger button position.");const{container:t}=this,{left:o=0,top:r=0,right:n=0}=e;let{bottom:s=0}=e;const{width:a,height:i}=this.getBoundingClientRect(),{left:c=0,right:d=0,top:l=0}=t.getBoundingClientRect();s-=l;const p=t.ownerDocument.defaultView.getComputedStyle(t),u=p.getPropertyValue("direction"),h=u===Dl.RTL,f=h?t.ownerDocument.defaultView.innerWidth-d:c,m=h?d-n:o-c,v=h?d-o:n-c,g=r-l;if((t!==this.ownerDocument.body||0!==f||0!==l)&&"static"===p.getPropertyValue("position"))throw new Error("Floating menu container must not have `position:static`.");const{flipped:b,direction:O}=this;if(Object.values(Ll).indexOf(O)<0)throw new Error(`Wrong menu position direction: ${O}`);const y=b?v-a:m,{start:k,top:x}={[Ll.TOP]:()=>({start:y,top:g-i}),[Ll.BOTTOM]:()=>({start:y,top:s})}[O]();return{direction:u,start:k,top:x}}disconnectedCallback(){this._hObserveResizeContainer&&(this._hObserveResizeContainer=this._hObserveResizeContainer.release()),this._hObserveResizeParent&&(this._hObserveResizeParent=this._hObserveResizeParent.release())}updated(e){var t;const{container:o,open:r,parent:n}=this;if((e.has("flipped")||e.has("direction")||e.has("open"))&&r){n||(this.parent=this.parentElement,o.appendChild(this));const{direction:e,start:t,top:r}=this.position;this.style[e!==Dl.RTL?"left":"right"]=`${t}px`,this.style.top=`${r}px`}if(e.has("open")&&(this._hObserveResizeContainer&&(this._hObserveResizeContainer=this._hObserveResizeContainer.release()),this._hObserveResizeParent&&(this._hObserveResizeParent=this._hObserveResizeParent.release()),r)){const{parentElement:e}=null!==(t=this.parent)&&void 0!==t?t:{};this._hObserveResizeContainer=Zl(this._resizeObserver,o),e&&(this._hObserveResizeParent=Zl(this._resizeObserver,e))}}static get selectorContainer(){return`[data-floating-menu-container],${ic.P}-modal`}}var jl;Ul.FLOATING_MENU=!0,Ul.shadowRootOptions=Object.assign(Object.assign({},re.WF.shadowRootOptions),{delegatesFocus:!0}),(0,te.Cg)([(0,ad.A)("focusout")],Ul.prototype,"_handleBlur",void 0),(0,te.Cg)([(0,ad.A)("click")],Ul.prototype,"_click",void 0),(0,te.Cg)([(0,ad.A)("keydown")],Ul.prototype,"_handleKeyDown",void 0);let Wl=jl=class extends Ul{constructor(){super(...arguments),this.direction=Ll.BOTTOM,this.flipped=!1,this.open=!1,this.selected=null,this.size=Rl.MEDIUM,this._handleKeydown=async e=>{const{key:t}=e;if(this.open){if(this.contains(document.activeElement)&&(this.selected=document.activeElement),t in Xl)return e.preventDefault(),void this._navigate(Xl[t]);if("Escape"===t){e.preventDefault();const t=this.parent;return this.open=!1,t&&"open"in t&&(t.open=!1),void requestAnimationFrame(()=>{var e;const o=(null===(e=null==t?void 0:t.shadowRoot)||void 0===e?void 0:e.querySelector(`button.${ic.P}--overflow-menu`))||(null==t?void 0:t.querySelector(`button.${ic.P}--overflow-menu`));o&&o.focus()})}const o=this.querySelectorAll(jl.selectorItemEnabled);if(Array.from(o).some(e=>e.contains(document.activeElement))){e.preventDefault();const t=this.parent;this.open=!1,t&&"open"in t&&(t.open=!1),requestAnimationFrame(()=>{var e;const o=(null===(e=null==t?void 0:t.shadowRoot)||void 0===e?void 0:e.querySelector(`button.${ic.P}--overflow-menu`))||(null==t?void 0:t.querySelector(`button.${ic.P}--overflow-menu`));o&&o.focus()})}}}}_getNextItem(e,t){const{selectorItemEnabled:o}=this.constructor,r=this.querySelectorAll(o),n=(0,bd.qh)(r,e),s=(a=n+t,i=r.length,a<0?i-1:a>=i?0:a);var a,i;return s===n?null:r[s]}_navigate(e){if(this.selected){const t=this._getNextItem(this.selected,e);null==t||t.focus()}}connectedCallback(){this.hasAttribute("role")||this.setAttribute("role","menu"),this.hasAttribute("tabindex")||this.setAttribute("tabindex","-1"),super.connectedCallback()}updated(e){if(e.has("size")){const{selectorMenuItem:e}=this.constructor;this.querySelectorAll(e).forEach(e=>{e.setAttribute("size",this.size)})}super.updated(e)}render(){return re.qy` `}static get selectorMenuItem(){return`${ic.P}-overflow-menu-item`}static get selectorItemEnabled(){return`${ic.P}-overflow-menu-item:not([disabled])`}};Wl.styles=Il,(0,te.Cg)([(0,ki.MZ)()],Wl.prototype,"direction",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Wl.prototype,"flipped",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Wl.prototype,"open",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0})],Wl.prototype,"size",void 0),(0,te.Cg)([(0,ad.A)("keydown")],Wl.prototype,"_handleKeydown",void 0),Wl=jl=(0,te.Cg)([(0,cc.Q)(`${ic.P}-overflow-menu-body`)],Wl);var Bl=Wl;let Fl=class extends((0,Gc.A)(re.WF)){constructor(){super(...arguments),this.danger=!1,this.disabled=!1,this.divider=!1,this.href="",this.size=Rl.MEDIUM}_handleClick(e){this.dispatchEvent(new CustomEvent(this.constructor.itemClicked,{bubbles:!0,composed:!0,detail:{evt:e}}))}connectedCallback(){this.hasAttribute("role")||this.setAttribute("role","menuitem"),super.connectedCallback()}render(){const{_handleClick:e}=this;return this.href?re.qy`
`:re.qy` `}static get itemClicked(){return`${ic.P}-overflow-menu-item-clicked`}};Fl.shadowRootOptions=Object.assign(Object.assign({},re.WF.shadowRootOptions),{delegatesFocus:!0}),Fl.styles=Il,(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Fl.prototype,"danger",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Fl.prototype,"disabled",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],Fl.prototype,"divider",void 0),(0,te.Cg)([(0,ki.MZ)()],Fl.prototype,"href",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0})],Fl.prototype,"size",void 0),Fl=(0,te.Cg)([(0,cc.Q)(`${ic.P}-overflow-menu-item`)],Fl);var Gl=Fl,Hl=(0,re.AH)(['.cds--layout--size-xs{--cds-layout-size-height-context:var(--cds-layout-size-height-xs,1.5rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-xs{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-xs,1.5rem))}.cds--layout-constraint--size__min-xs{--cds-layout-size-height-min:var(--cds-layout-size-height-xs,1.5rem)}.cds--layout-constraint--size__max-xs{--cds-layout-size-height-max:var(--cds-layout-size-height-xs,1.5rem)}.cds--layout--size-sm{--cds-layout-size-height-context:var(--cds-layout-size-height-sm,2rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-sm{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-sm,2rem))}.cds--layout-constraint--size__min-sm{--cds-layout-size-height-min:var(--cds-layout-size-height-sm,2rem)}.cds--layout-constraint--size__max-sm{--cds-layout-size-height-max:var(--cds-layout-size-height-sm,2rem)}.cds--layout--size-md{--cds-layout-size-height-context:var(--cds-layout-size-height-md,2.5rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-md{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-md,2.5rem))}.cds--layout-constraint--size__min-md{--cds-layout-size-height-min:var(--cds-layout-size-height-md,2.5rem)}.cds--layout-constraint--size__max-md{--cds-layout-size-height-max:var(--cds-layout-size-height-md,2.5rem)}.cds--layout--size-lg{--cds-layout-size-height-context:var(--cds-layout-size-height-lg,3rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-lg{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-lg,3rem))}.cds--layout-constraint--size__min-lg{--cds-layout-size-height-min:var(--cds-layout-size-height-lg,3rem)}.cds--layout-constraint--size__max-lg{--cds-layout-size-height-max:var(--cds-layout-size-height-lg,3rem)}.cds--layout--size-xl{--cds-layout-size-height-context:var(--cds-layout-size-height-xl,4rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-xl{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-xl,4rem))}.cds--layout-constraint--size__min-xl{--cds-layout-size-height-min:var(--cds-layout-size-height-xl,4rem)}.cds--layout-constraint--size__max-xl{--cds-layout-size-height-max:var(--cds-layout-size-height-xl,4rem)}.cds--layout--size-2xl{--cds-layout-size-height-context:var(--cds-layout-size-height-2xl,5rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-2xl{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-2xl,5rem))}.cds--layout-constraint--size__min-2xl{--cds-layout-size-height-min:var(--cds-layout-size-height-2xl,5rem)}.cds--layout-constraint--size__max-2xl{--cds-layout-size-height-max:var(--cds-layout-size-height-2xl,5rem)}.cds--layout--density-condensed{--cds-layout-density-padding-inline-context:var(--cds-layout-density-padding-inline-condensed,0.5rem);--cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context)}.cds--layout-constraint--density__default-condensed{--cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context,var(--cds-layout-density-padding-inline-condensed,0.5rem))}.cds--layout-constraint--density__min-condensed{--cds-layout-density-padding-inline-min:var(--cds-layout-density-padding-inline-condensed,0.5rem)}.cds--layout-constraint--density__max-condensed{--cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-condensed,0.5rem)}.cds--layout--density-normal{--cds-layout-density-padding-inline-context:var(--cds-layout-density-padding-inline-normal,1rem);--cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context)}.cds--layout-constraint--density__default-normal{--cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context,var(--cds-layout-density-padding-inline-normal,1rem))}.cds--layout-constraint--density__min-normal{--cds-layout-density-padding-inline-min:var(--cds-layout-density-padding-inline-normal,1rem)}.cds--layout-constraint--density__max-normal{--cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-normal,1rem)}:root{--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px}.cds--layer-one,:root{--cds-layer:var(--cds-layer-01,#f4f4f4);--cds-layer-active:var(--cds-layer-active-01,#c6c6c6);--cds-layer-background:var(--cds-layer-background-01,#fff);--cds-layer-hover:var(--cds-layer-hover-01,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-01,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-01,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-01,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-01,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-01,#a8a8a8);--cds-field:var(--cds-field-01,#f4f4f4);--cds-field-hover:var(--cds-field-hover-01,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-00,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-01,#c6c6c6);--cds-border-strong:var(--cds-border-strong-01,#8d8d8d);--cds-border-tile:var(--cds-border-tile-01,#c6c6c6)}.cds--layer-two{--cds-layer:var(--cds-layer-02,#fff);--cds-layer-active:var(--cds-layer-active-02,#c6c6c6);--cds-layer-background:var(--cds-layer-background-02,#f4f4f4);--cds-layer-hover:var(--cds-layer-hover-02,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-02,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-02,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-02,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-02,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-02,#a8a8a8);--cds-field:var(--cds-field-02,#fff);--cds-field-hover:var(--cds-field-hover-02,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-01,#c6c6c6);--cds-border-subtle-selected:var(--cds-border-subtle-selected-02,#c6c6c6);--cds-border-strong:var(--cds-border-strong-02,#8d8d8d);--cds-border-tile:var(--cds-border-tile-02,#a8a8a8)}.cds--layer-three{--cds-layer:var(--cds-layer-03,#f4f4f4);--cds-layer-active:var(--cds-layer-active-03,#c6c6c6);--cds-layer-background:var(--cds-layer-background-03,#fff);--cds-layer-hover:var(--cds-layer-hover-03,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-03,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-03,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-03,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-03,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-03,#a8a8a8);--cds-field:var(--cds-field-03,#f4f4f4);--cds-field-hover:var(--cds-field-hover-03,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-02,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-03,#c6c6c6);--cds-border-strong:var(--cds-border-strong-03,#8d8d8d);--cds-border-tile:var(--cds-border-tile-03,#c6c6c6)}.cds--layer-one.cds--layer__with-background,.cds--layer-three.cds--layer__with-background,.cds--layer-two.cds--layer__with-background{background-color:var(--cds-layer-background)}@keyframes cds--hide-feedback{0%{opacity:1;visibility:inherit}to{opacity:0;visibility:hidden}}@keyframes cds--show-feedback{0%{opacity:0;visibility:hidden}to{opacity:1;visibility:inherit}}@keyframes cds--skeleton{0%{opacity:.3;transform:scaleX(0);transform-origin:left}20%{opacity:1;transform:scaleX(1);transform-origin:left}28%{transform:scaleX(1);transform-origin:right}51%{transform:scaleX(0);transform-origin:right}58%{transform:scaleX(0);transform-origin:right}82%{transform:scaleX(1);transform-origin:right}83%{transform:scaleX(1);transform-origin:left}96%{transform:scaleX(0);transform-origin:left}to{opacity:.3;transform:scaleX(0);transform-origin:left}}.cds--assistive-text,.cds--visually-hidden{block-size:1px;border:0;margin:-1px;overflow:hidden;padding:0;position:absolute;clip:rect(0,0,0,0);inline-size:1px;visibility:inherit;white-space:nowrap}.cds--popover-container{display:inline-block}.cds--popover-container:not(.cds--popover--auto-align){position:relative}.cds--popover--high-contrast .cds--popover{--cds-popover-background-color:var(--cds-background-inverse,#393939);--cds-popover-text-color:var(--cds-text-inverse,#fff)}.cds--popover--drop-shadow .cds--popover{filter:var(--cds-popover-drop-shadow,drop-shadow(0 .125rem .125rem rgba(0,0,0,.2)))}.cds--popover--border>.cds--popover>.cds--popover-content{outline:1px solid var(--cds-popover-border-color,var(--cds-border-subtle));outline-offset:-1px}.cds--popover--caret{--cds-popover-offset:0.625rem}.cds--popover{inset:0;pointer-events:none;position:absolute;z-index:6000}.cds--popover-content{--cds-layout-size-height-sm:2rem}.cds--layout--size-sm :where(.cds--popover-content),.cds--popover-content.cds--layout--size-sm{--cds-layout-size-height:var(--cds-layout-size-height-sm)}.cds--popover-content{--cds-layout-size-height-md:2.5rem}.cds--layout--size-md :where(.cds--popover-content),.cds--popover-content.cds--layout--size-md{--cds-layout-size-height:var(--cds-layout-size-height-md)}.cds--popover-content{--cds-layout-size-height-lg:3rem}.cds--layout--size-lg :where(.cds--popover-content),.cds--popover-content.cds--layout--size-lg{--cds-layout-size-height:var(--cds-layout-size-height-lg)}.cds--popover-content{border:0;box-sizing:border-box;font-family:inherit;font-size:100%;margin:0;padding:0;vertical-align:baseline}.cds--popover-content *,.cds--popover-content :after,.cds--popover-content 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.cds--btn__icon{block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and 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1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--ghost .cds--btn__icon,.cds--btn--ghost .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--ghost{padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - .0625rem)}.cds--btn--ghost .cds--btn__icon{align-self:center;margin-inline-start:.5rem;position:static}.cds--btn--ghost:active,.cds--btn--ghost:hover{color:var(--cds-link-primary-hover,#0043ce)}.cds--btn--ghost:active{background-color:var(--cds-background-active,hsla(0,0%,55%,.5))}.cds--btn--ghost.cds--btn--disabled,.cds--btn--ghost.cds--btn--disabled:focus,.cds--btn--ghost.cds--btn--disabled:hover,.cds--btn--ghost:disabled,.cds--btn--ghost:focus:disabled,.cds--btn--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--ghost:not([disabled]) svg{fill:var(--cds-icon-primary,#161616)}.cds--btn--icon-only{align-items:center;block-size:var(--cds-layout-size-height-local);inline-size:var(--cds-layout-size-height-local);justify-content:center;padding:0;padding-block-start:0}.cds--btn--icon-only>:first-child{min-inline-size:1rem}.cds--btn--icon-only .cds--btn__icon{position:static}.cds--btn--icon-only.cds--btn--danger--ghost .cds--btn__icon,.cds--btn--icon-only.cds--btn--ghost .cds--btn__icon{margin:0}.cds--btn--icon-only.cds--btn--danger--ghost{padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - 1rem)}.cds--btn--xs:not(.cds--btn--icon-only){padding-block-start:1.5px}.cds--btn--md:not(.cds--btn--icon-only) .cds--btn__icon,.cds--btn--sm:not(.cds--btn--icon-only) .cds--btn__icon,.cds--btn--xs:not(.cds--btn--icon-only) .cds--btn__icon{margin-block-start:0}.cds--btn--icon-only.cds--btn--selected{background:var(--cds-background-selected,hsla(0,0%,55%,.2))}.cds--btn path[data-icon-path=inner-path]{fill:none}.cds--btn--ghost.cds--btn--icon-only .cds--btn__icon,.cds--btn--ghost.cds--btn--icon-only .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:var(--cds-icon-primary,#161616)}.cds--btn--ghost.cds--btn--icon-only[disabled] .cds--btn__icon,.cds--btn--ghost.cds--btn--icon-only[disabled] .cds--btn__icon path:not([data-icon-path]):not([fill=none]),.cds--btn.cds--btn--icon-only.cds--btn--ghost[disabled]:hover .cds--btn__icon{fill:var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn--ghost.cds--btn--icon-only[disabled],.cds--icon-tooltip--disabled .cds--tooltip-trigger__wrapper{cursor:not-allowed}.cds--icon-tooltip--disabled .cds--btn--icon-only[disabled]{pointer-events:none}.cds--btn--danger{background-color:var(--cds-button-danger-primary,#da1e28);border:1px solid transparent;color:var(--cds-text-on-color,#fff)}.cds--btn--danger:hover{background-color:var(--cds-button-danger-hover,#b81921)}.cds--btn--danger:focus{border-color:var(--cds-button-focus-color,var(--cds-focus,#0f62fe));box-shadow:inset 0 0 0 1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--danger:active{background-color:var(--cds-button-danger-active,#750e13)}.cds--btn--danger .cds--btn__icon,.cds--btn--danger .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary{background-color:transparent;border-color:var(--cds-button-danger-secondary,#da1e28);border-style:solid;border-width:1px;color:var(--cds-button-danger-secondary,#da1e28)}.cds--btn--danger--tertiary:hover{background-color:var(--cds-button-danger-hover,#b81921)}.cds--btn--danger--tertiary:focus{border-color:var(--cds-button-focus-color,var(--cds-focus,#0f62fe));box-shadow:inset 0 0 0 1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--danger--tertiary .cds--btn__icon,.cds--btn--danger--tertiary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger--tertiary:hover{border-color:var(--cds-button-danger-hover,#b81921);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary:focus{background-color:var(--cds-button-danger-primary,#da1e28);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary:active{background-color:var(--cds-button-danger-active,#750e13);border-color:var(--cds-button-danger-active,#750e13);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary.cds--btn--disabled,.cds--btn--danger--tertiary.cds--btn--disabled:focus,.cds--btn--danger--tertiary.cds--btn--disabled:hover,.cds--btn--danger--tertiary:disabled,.cds--btn--danger--tertiary:focus:disabled,.cds--btn--danger--tertiary:hover:disabled{background:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--danger--ghost{background-color:transparent;border:1px solid transparent;color:var(--cds-button-danger-secondary,#da1e28)}.cds--btn--danger--ghost:hover{background-color:var(--cds-button-danger-hover,#b81921)}.cds--btn--danger--ghost:focus{border-color:var(--cds-button-focus-color,var(--cds-focus,#0f62fe));box-shadow:inset 0 0 0 1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--danger--ghost:active{background-color:var(--cds-button-danger-active,#750e13)}.cds--btn--danger--ghost .cds--btn__icon,.cds--btn--danger--ghost .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger--ghost{padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - .0625rem)}.cds--btn--danger--ghost .cds--btn__icon{margin-inline-start:.5rem;position:static}.cds--btn--danger--ghost:active,.cds--btn--danger--ghost:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--ghost.cds--btn--disabled,.cds--btn--danger--ghost.cds--btn--disabled:focus,.cds--btn--danger--ghost.cds--btn--disabled:hover,.cds--btn--danger--ghost:disabled,.cds--btn--danger--ghost:focus:disabled,.cds--btn--danger--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--expressive{font-size:var(--cds-body-compact-02-font-size,1rem);font-weight:var(--cds-body-compact-02-font-weight,400);letter-spacing:var(--cds-body-compact-02-letter-spacing,0);line-height:var(--cds-body-compact-02-line-height,1.375);padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh))/2 - .0625rem,var(--temp-padding-block-max))}.cds--btn--icon-only.cds--btn--expressive{padding:12px 13px}.cds--btn.cds--btn--expressive .cds--btn__icon{block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn.cds--skeleton{background:CanvasText}.cds--btn.cds--skeleton:before{background:Canvas;forced-color-adjust:none}}.cds--btn.cds--skeleton{inline-size:9.375rem}.cds--btn-set{display:flex}.cds--btn-set--stacked{flex-direction:column}.cds--btn-set .cds--btn{inline-size:100%;max-inline-size:12.25rem}.cds--btn-set .cds--btn:not(:focus){box-shadow:-.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set .cds--btn:first-of-type:not(:focus),.cds--btn-set .cds--btn:focus+.cds--btn{box-shadow:inherit}.cds--btn-set--stacked .cds--btn:not(:focus){box-shadow:0 -.0625rem 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--stacked .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn.cds--btn--disabled{box-shadow:-.0625rem 0 0 0 var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn-set .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set--stacked .cds--btn.cds--btn--disabled{box-shadow:0 -.0625rem 0 0 var(--cds-layer-selected-disabled,#8d8d8d)}.cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set .cds--btn.cds--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds--btn--sm .cds--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds--btn-set .cds--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--fluid{container-type:inline-size}.cds--btn-set--fluid .cds--btn-set__fluid-inner{--flex-direction:row;align-items:stretch;display:flex;flex-direction:var(--flex-direction);inline-size:100%;justify-content:flex-end}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{flex:0 1 25%;max-inline-size:14.5rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{min-inline-size:11rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--danger--ghost,.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--ghost{flex:1 1 25%;max-inline-size:none;padding-inline-start:2rem}@container (width <= 11rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 22rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:nth-child(2):last-child) .cds--btn{flex-basis:50%;max-inline-size:none}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:first-child:last-child) .cds--btn{flex:1 1 100%;max-inline-size:none}}.cds--toggletip-label{color:var(--cds-text-secondary,#525252);font-size:var(--cds-label-01-font-size,.75rem);font-weight:var(--cds-label-01-font-weight,400);letter-spacing:var(--cds-label-01-letter-spacing,.32px);line-height:var(--cds-label-01-line-height,1.33333);margin-inline-end:.5rem}:host([slot=label-text]) .cds--toggletip-label{font-size:var(--cds-label-01-font-size,.75rem);font-weight:var(--cds-label-01-font-weight,400);letter-spacing:var(--cds-label-01-letter-spacing,.32px);line-height:var(--cds-label-01-line-height,1.33333)}.cds--toggletip-button{-webkit-appearance:none;-moz-appearance:none;appearance:none;background:none;border:0;box-sizing:border-box;cursor:pointer;display:inline-block;font-family:inherit;font-size:100%;inline-size:100%;margin:0;padding:0;text-align:start;vertical-align:baseline}.cds--toggletip-button *,.cds--toggletip-button :after,.cds--toggletip-button :before{box-sizing:inherit}.cds--toggletip-button::-moz-focus-inner{border:0}.cds--toggletip-button{align-items:center;display:flex}.cds--toggletip-button svg{fill:var(--cds-icon-secondary,#525252)}.cds--toggletip--open .cds--toggletip-button svg,.cds--toggletip-button:hover svg{fill:var(--cds-icon-primary,#161616)}.cds--toggletip-button:focus{outline:1px solid var(--cds-focus,#0f62fe)}@media screen and (prefers-contrast){.cds--toggletip-button:focus{outline-style:dotted}}.cds--toggletip,:host(cds-ai-label),:host(cds-slug),:host(cds-toggletip){--cds-popover-offset:0.8125rem}.cds--toggletip-content{--cds-button-focus-color:var(--cds-focus-inverse,#fff);--cds-link-text-color:var(--cds-link-inverse,#78a9ff);--cds-link-hover-text-color:var(--cds-link-inverse-hover,#a6c8ff);--cds-link-visited-text-color:var(--cds-link-inverse-visited,#be95ff);--cds-link-focus-text-color:var(--cds-focus-inverse,#fff);display:grid;max-inline-size:18rem;padding:1rem;row-gap:1rem}.cds--toggletip-content,.cds--toggletip-content p{font-size:var(--cds-body-01-font-size,.875rem);font-weight:var(--cds-body-01-font-weight,400);letter-spacing:var(--cds-body-01-letter-spacing,.16px);line-height:var(--cds-body-01-line-height,1.42857)}.cds--toggletip-actions{align-items:center;-moz-column-gap:1rem;column-gap:1rem;display:flex;justify-content:space-between}:host(cds-ai-label),:host(cds-slug),:host(cds-toggletip){align-items:center;display:flex;justify-content:center;outline:none}:host(cds-ai-label) .cds--popover-caret,:host(cds-slug) .cds--popover-caret,:host(cds-toggletip) .cds--popover-caret{background-color:var(--cds-background-inverse,#393939)}:host(cds-ai-label[open][autoalign]) .cds--popover-content,:host(cds-slug[open][autoalign]) .cds--popover-content,:host(cds-toggletip[open][autoalign]) .cds--popover-content{display:block;--cds-popover-background-color:var(--cds-background-inverse,#393939);--cds-popover-text-color:var(--cds-text-inverse,#fff)}']),op=o(9360);let rp=Jl=class extends((0,id.A)((0,Gc.A)(re.WF))){constructor(){super(...arguments),this.popoverController=new Vd.A(this),this.alignment=Al.U.TOP,this.alignmentAxisOffset=0,this.autoalign=!1,this.buttonLabel="Show information",this.open=!1,this.defaultOpen=!1,this._handleKeydown=async e=>{"Escape"===e.key&&(this.open=!1)},this._renderToggleTipLabel=()=>re.qy` `,this._renderTooltipButton=()=>re.qy` `,this._renderTooltipContent=()=>this.autoalign?re.qy`
`:re.qy`
`,this._renderInnerContent=()=>re.qy` ${this._renderTooltipButton()} ${this._renderTooltipContent()} `}connectedCallback(){super.connectedCallback(),this.defaultOpen&&!this.hasAttribute("open")&&(this.open=!0),(0,re.Rf)(this.renderRoot,[op.A,tp])}_handleActionsSlotChange({target:e}){e.assignedNodes()?this.setAttribute("has-actions",""):this.removeAttribute("has-actions")}_handleClick(){this.open=!this.open}_handleFocusOut(e){this.contains(e.relatedTarget)||this._deepShadowContains(this,e.relatedTarget)||(this.open=!1)}_deepShadowContains(e,t){return t instanceof Node&&(t===e||this._deepShadowContains(e,t.assignedSlot||t.parentNode||t.getRootNode().host||null))}updated(){var e,t,o,r;if(this.autoalign){const n=null===(e=this.shadowRoot)||void 0===e?void 0:e.querySelector(Jl.selectorToggletipButton),s=null===(t=this.shadowRoot)||void 0===t?void 0:t.querySelector(Jl.selectorToggletipContent),a=null===(o=this.shadowRoot)||void 0===o?void 0:o.querySelector(Jl.selectorToggletipCaret);n&&s&&(n.scrollIntoView({block:"center",inline:"center"}),null===(r=this.popoverController)||void 0===r||r.setPlacement({trigger:n,target:s,arrowElement:a,caret:!0,flipArguments:{fallbackAxisSideDirection:"start"},alignment:this.alignment,open:this.open,alignmentAxisOffset:this.alignmentAxisOffset}))}}render(){const{alignment:e,open:t}=this,o=(0,Ei.H)({[`${ic.P}--popover-container`]:!0,[`${ic.P}--popover--caret`]:!0,[`${ic.P}--popover--high-contrast`]:!0,[`${ic.P}--popover--open`]:t,[`${ic.P}--popover--${e}`]:e,[`${ic.P}--toggletip`]:!0,[`${ic.P}--toggletip--open`]:t});return re.qy` ${this._renderToggleTipLabel()} ${this._renderInnerContent()} `}static get selectorToggletipContent(){return`.${ic.P}--popover-content`}static get selectorToggletipCaret(){return`.${ic.P}--popover-caret`}static get selectorToggletipButton(){return`.${ic.P}--toggletip-button`}};rp.shadowRootOptions=Object.assign(Object.assign({},re.WF.shadowRootOptions),{delegatesFocus:!0}),(0,te.Cg)([(0,ki.MZ)({reflect:!0})],rp.prototype,"alignment",void 0),(0,te.Cg)([(0,ki.MZ)({type:Number,attribute:"alignment-axis-offset"})],rp.prototype,"alignmentAxisOffset",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],rp.prototype,"autoalign",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"button-label"})],rp.prototype,"buttonLabel",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],rp.prototype,"open",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,attribute:"default-open"})],rp.prototype,"defaultOpen",void 0),(0,te.Cg)([(0,ad.A)("keydown")],rp.prototype,"_handleKeydown",void 0),(0,te.Cg)([(0,ad.A)("focusout")],rp.prototype,"_handleFocusOut",null),rp=Jl=(0,te.Cg)([(0,cc.Q)(`${ic.P}-toggletip`)],rp);var np=rp,sp={elem:"svg",attrs:{xmlns:"http://www.w3.org/2000/svg",viewBox:"0 0 32 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path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary{background-color:transparent;border-color:var(--cds-button-danger-secondary,#da1e28);border-style:solid;border-width:1px;color:var(--cds-button-danger-secondary,#da1e28)}.cds--btn--danger--tertiary:hover{background-color:var(--cds-button-danger-hover,#b81921)}.cds--btn--danger--tertiary:focus{border-color:var(--cds-button-focus-color,var(--cds-focus,#0f62fe));box-shadow:inset 0 0 0 1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--danger--tertiary .cds--btn__icon,.cds--btn--danger--tertiary .cds--btn__icon 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.cds--btn__icon{margin-inline-start:.5rem;position:static}.cds--btn--danger--ghost:active,.cds--btn--danger--ghost:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--ghost.cds--btn--disabled,.cds--btn--danger--ghost.cds--btn--disabled:focus,.cds--btn--danger--ghost.cds--btn--disabled:hover,.cds--btn--danger--ghost:disabled,.cds--btn--danger--ghost:focus:disabled,.cds--btn--danger--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--expressive{font-size:var(--cds-body-compact-02-font-size,1rem);font-weight:var(--cds-body-compact-02-font-weight,400);letter-spacing:var(--cds-body-compact-02-letter-spacing,0);line-height:var(--cds-body-compact-02-line-height,1.375);padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh))/2 - .0625rem,var(--temp-padding-block-max))}.cds--btn--icon-only.cds--btn--expressive{padding:12px 13px}.cds--btn.cds--btn--expressive .cds--btn__icon{block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and 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var(--cds-layer-selected-disabled,#8d8d8d)}.cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set .cds--btn.cds--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds--btn--sm .cds--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds--btn-set .cds--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--fluid{container-type:inline-size}.cds--btn-set--fluid .cds--btn-set__fluid-inner{--flex-direction:row;align-items:stretch;display:flex;flex-direction:var(--flex-direction);inline-size:100%;justify-content:flex-end}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{flex:0 1 25%;max-inline-size:14.5rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{min-inline-size:11rem}.cds--btn-set--fluid 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.cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid 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.cds--form-requirement__supplement{color:var(--cds-text-primary,#161616);padding-block-end:.5rem}.cds--file__state-container{align-items:center;display:flex;justify-content:center;min-inline-size:1.5rem;padding-inline-end:.75rem}.cds--file__state-container .cds--loading__svg{stroke:var(--cds-icon-primary,#161616)}.cds--file__state-container .cds--file-loading{align-items:center;background-color:transparent;block-size:1rem;border:none;display:flex;inline-size:1.5rem;justify-content:center;padding:.25rem}.cds--file__state-container .cds--file-complete{fill:var(--cds-interactive,#0f62fe);inline-size:1.5rem}.cds--file__state-container .cds--file-complete:focus{outline:1px solid var(--cds-focus,#0f62fe)}@media screen and (prefers-contrast){.cds--file__state-container .cds--file-complete:focus{outline-style:dotted}}.cds--file__state-container .cds--file-complete [data-icon-path=inner-path]{fill:var(--cds-icon-inverse,#fff);opacity:1}.cds--file__state-container .cds--file-invalid{block-size:1rem;fill:var(--cds-support-error,#da1e28);inline-size:1rem}.cds--file__state-container .cds--file-close{align-items:center;background-color:transparent;block-size:1.5rem;border:none;cursor:pointer;display:flex;justify-content:center;padding:0;fill:var(--cds-icon-primary,#161616);inline-size:1.5rem}.cds--file__state-container .cds--file-close:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--file__state-container .cds--file-close:focus{outline-style:dotted}}.cds--file__state-container .cds--file-close svg path{fill:var(--cds-icon-primary,#161616)}.cds--file__state-container .cds--inline-loading__animation{margin-inline-end:-.5rem}.cds--file__drop-container{-webkit-appearance:none;-moz-appearance:none;appearance:none;background:none;border:0;box-sizing:border-box;cursor:pointer;display:inline-block;font-family:inherit;font-size:100%;inline-size:100%;margin:0;padding:0;text-align:start;vertical-align:baseline}.cds--file__drop-container *,.cds--file__drop-container :after,.cds--file__drop-container :before{box-sizing:inherit}.cds--file__drop-container::-moz-focus-inner{border:0}.cds--file__drop-container{align-items:flex-start;block-size:6rem;border:1px dashed var(--cds-border-strong);display:flex;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:var(--cds-body-compact-01-font-weight,400);justify-content:space-between;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);overflow:hidden;padding:1rem}.cds--file__drop-container--drag-over{background:none;outline:2px solid 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.cds--file--label,:host(cds-file-uploader) .cds--label-description{margin-block-start:0}:host(cds-file-uploader) .cds--file-container{margin-block-start:.5rem}']),pp=o(3422);let up=class extends re.WF{constructor(){super(...arguments),this.iconDescription="Delete this file",this.invalid=!1,this.size=cp.MEDIUM,this.state=ip.UPLOADING,this.errorSubject="",this.errorBody=""}_handleClickDeleteButton(){const e={bubbles:!0,cancelable:!0,composed:!0},{eventBeforeDelete:t,eventDelete:o}=this.constructor;this.dispatchEvent(new CustomEvent(t,e))&&this.dispatchEvent(new CustomEvent(o,e))}_renderEditing(){const{iconDescription:e,invalid:t,_handleClickDeleteButton:o}=this;return re.qy` ${t?(0,Ci.L)(fc.A,{class:`${ic.P}--file-invalid`}):void 0} `}_renderUploading(){const{iconDescription:e}=this;return re.qy` `}_renderUploaded(){const{iconDescription:e}=this;return(0,Ci.L)(al.A,{class:`${ic.P}--file-complete`,"aria-label":e})}_renderStatus(){const{state:e}=this;switch(e){case ip.EDIT:return 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${this._renderStatus()}
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vp=(0,re.AH)(['.cds--layer-one,:root{--cds-layer:var(--cds-layer-01,#f4f4f4);--cds-layer-active:var(--cds-layer-active-01,#c6c6c6);--cds-layer-background:var(--cds-layer-background-01,#fff);--cds-layer-hover:var(--cds-layer-hover-01,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-01,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-01,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-01,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-01,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-01,#a8a8a8);--cds-field:var(--cds-field-01,#f4f4f4);--cds-field-hover:var(--cds-field-hover-01,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-00,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-01,#c6c6c6);--cds-border-strong:var(--cds-border-strong-01,#8d8d8d);--cds-border-tile:var(--cds-border-tile-01,#c6c6c6)}.cds--layer-two,:host(cds-modal-body){--cds-layer:var(--cds-layer-02,#fff);--cds-layer-active:var(--cds-layer-active-02,#c6c6c6);--cds-layer-background:var(--cds-layer-background-02,#f4f4f4);--cds-layer-hover:var(--cds-layer-hover-02,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-02,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-02,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-02,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-02,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-02,#a8a8a8);--cds-field:var(--cds-field-02,#fff);--cds-field-hover:var(--cds-field-hover-02,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-01,#c6c6c6);--cds-border-subtle-selected:var(--cds-border-subtle-selected-02,#c6c6c6);--cds-border-strong:var(--cds-border-strong-02,#8d8d8d);--cds-border-tile:var(--cds-border-tile-02,#a8a8a8)}.cds--layer-three{--cds-layer:var(--cds-layer-03,#f4f4f4);--cds-layer-active:var(--cds-layer-active-03,#c6c6c6);--cds-layer-background:var(--cds-layer-background-03,#fff);--cds-layer-hover:var(--cds-layer-hover-03,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-03,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-03,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-03,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-03,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-03,#a8a8a8);--cds-field:var(--cds-field-03,#f4f4f4);--cds-field-hover:var(--cds-field-hover-03,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-02,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-03,#c6c6c6);--cds-border-strong:var(--cds-border-strong-03,#8d8d8d);--cds-border-tile:var(--cds-border-tile-03,#c6c6c6)}.cds--layer-one.cds--layer__with-background,.cds--layer-three.cds--layer__with-background,.cds--layer-two.cds--layer__with-background{background-color:var(--cds-layer-background)}.cds--layout--size-xs{--cds-layout-size-height-context:var(--cds-layout-size-height-xs,1.5rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-xs{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-xs,1.5rem))}.cds--layout-constraint--size__min-xs{--cds-layout-size-height-min:var(--cds-layout-size-height-xs,1.5rem)}.cds--layout-constraint--size__max-xs{--cds-layout-size-height-max:var(--cds-layout-size-height-xs,1.5rem)}.cds--layout--size-sm{--cds-layout-size-height-context:var(--cds-layout-size-height-sm,2rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-sm{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-sm,2rem))}.cds--layout-constraint--size__min-sm{--cds-layout-size-height-min:var(--cds-layout-size-height-sm,2rem)}.cds--layout-constraint--size__max-sm{--cds-layout-size-height-max:var(--cds-layout-size-height-sm,2rem)}.cds--layout--size-md{--cds-layout-size-height-context:var(--cds-layout-size-height-md,2.5rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-md{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-md,2.5rem))}.cds--layout-constraint--size__min-md{--cds-layout-size-height-min:var(--cds-layout-size-height-md,2.5rem)}.cds--layout-constraint--size__max-md{--cds-layout-size-height-max:var(--cds-layout-size-height-md,2.5rem)}.cds--layout--size-lg{--cds-layout-size-height-context:var(--cds-layout-size-height-lg,3rem);--cds-layout-size-height:var(--cds-layout-size-height-context)}.cds--layout-constraint--size__default-lg{--cds-layout-size-height:var(--cds-layout-size-height-context,var(--cds-layout-size-height-lg,3rem))}.cds--layout-constraint--size__min-lg{--cds-layout-size-height-min:var(--cds-layout-size-height-lg,3rem)}.cds--layout-constraint--size__max-lg{--cds-layout-size-height-max:var(--cds-layout-size-height-lg,3rem)}.cds--layout--size-xl{--cds-layout-size-height-context:var(--cds-layout-size-height-xl,4rem);--cds-layout-size-height:var(--cd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cds--hide-feedback{0%{opacity:1;visibility:inherit}to{opacity:0;visibility:hidden}}@keyframes cds--show-feedback{0%{opacity:0;visibility:hidden}to{opacity:1;visibility:inherit}}@keyframes cds--skeleton{0%{opacity:.3;transform:scaleX(0);transform-origin:left}20%{opacity:1;transform:scaleX(1);transform-origin:left}28%{transform:scaleX(1);transform-origin:right}51%{transform:scaleX(0);transform-origin:right}58%{transform:scaleX(0);transform-origin:right}82%{transform:scaleX(1);transform-origin:right}83%{transform:scaleX(1);transform-origin:left}96%{transform:scaleX(0);transform-origin:left}to{opacity:.3;transform:scaleX(0);transform-origin:left}}.cds--assistive-text,.cds--visually-hidden{block-size:1px;border:0;margin:-1px;overflow:hidden;padding:0;position:absolute;clip:rect(0,0,0,0);inline-size:1px;visibility:inherit;white-space:nowrap}.cds--popover-container{display:inline-block}.cds--popover-container:not(.cds--popover--auto-align){position:relative}.cds--popover--high-contrast .cds--popover{--cds-popover-background-color:var(--cds-background-inverse,#393939);--cds-popover-text-color:var(--cds-text-inverse,#fff)}.cds--popover--drop-shadow .cds--popover{filter:var(--cds-popover-drop-shadow,drop-shadow(0 .125rem .125rem rgba(0,0,0,.2)))}.cds--popover--border>.cds--popover>.cds--popover-content{outline:1px solid var(--cds-popover-border-color,var(--cds-border-subtle));outline-offset:-1px}.cds--popover--caret{--cds-popover-offset:0.625rem}.cds--popover{inset:0;pointer-events:none;position:absolute;z-index:6000}.cds--popover-content{--cds-layout-size-height-sm:2rem}.cds--layout--size-sm :where(.cds--popover-content),.cds--popover-content.cds--layout--size-sm{--cds-layout-size-height:var(--cds-layout-size-height-sm)}.cds--popover-content{--cds-layout-size-height-md:2.5rem}.cds--layout--size-md :where(.cds--popover-content),.cds--popover-content.cds--layout--size-md{--cds-layout-size-height:var(--cds-layout-size-height-md)}.cds--popover-content{--cds-layout-size-height-lg:3rem}.cds--layout--size-lg :where(.cds--popover-content),.cds--popover-content.cds--layout--size-lg{--cds-layout-size-height:var(--cds-layout-size-height-lg)}.cds--popover-content{border:0;box-sizing:border-box;font-family:inherit;font-size:100%;margin:0;padding:0;vertical-align:baseline}.cds--popover-content *,.cds--popover-content :after,.cds--popover-content 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.cds--btn__icon{block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and 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0:e.focus));return{first:o[0],last:o[o.length-1],all:o}}_handleClickContainer(e){e.target.matches(this.constructor.selectorCloseButton)&&!this.preventClose&&this._handleUserInitiatedClose(e.target)}_handleUserInitiatedClose(e){if(this.open){const t={bubbles:!0,cancelable:!0,composed:!0,detail:{triggeredBy:e}};this.dispatchEvent(new CustomEvent(this.constructor.eventBeforeClose,t))&&(this.open=!1,this.dispatchEvent(new CustomEvent(this.constructor.eventClose,t)))}}_handleSlotChange(){this.querySelector(`${ic.P}-modal-footer`)?this.setAttribute("has-footer",""):this.removeAttribute("has-footer")}_initializeLoadingEl(e){if(!e)return null;if(!this._loadingEl&&this.WORKING_LOADING_STATUSES.includes(this.loadingStatus)){const t=document.createElement(`${ic.P}-inline-loading`);t.setAttribute("controlled",""),t.setAttribute("aria-live","off"),e.appendChild(t),this._loadingEl=t}return this._loadingEl}_getFooterElements(){return{footer:this.querySelector(`${ic.P}-modal-footer`),primaryButton:this.querySelector(`${ic.P}-modal-footer-button[kind="primary"]`)||this.querySelector(`${ic.P}-modal-footer-button[kind="danger"]`)||null,secondaryButtons:Array.from(this.querySelectorAll(`${ic.P}-modal-footer-button[kind="secondary"]`))}}_updateLoadingElement(){const{footer:e,primaryButton:t,secondaryButtons:o}=this._getFooterElements(),r=this._initializeLoadingEl(e);e&&r&&t&&(this.WORKING_LOADING_STATUSES.includes(this.loadingStatus)?(r.style.display="inline-flex",r.setAttribute("status",String(this.loadingStatus)),r.setAttribute("aria-live","assertive"),r.setAttribute("icon-description",String(this.loadingIconDescription)),r.textContent=this.loadingDescription,t.style.display="none",o[0]&&(e.hasAttribute("has-three-buttons")?o.forEach(e=>e.removeAttribute("disabled")):o[0].setAttribute("disabled","")),"finished"===this.loadingStatus&&setTimeout(()=>{this.dispatchEvent(new CustomEvent(this.constructor.eventOnLoadingSuccess,{bubbles:!0,cancelable:!0,composed:!0}))},this.loadingSuccessDelay)):"inactive"===this.loadingStatus&&(r.style.display="none",r.setAttribute("aria-live","off"),t&&(t.style.display=""),o&&o.forEach(e=>e.removeAttribute("disabled"))))}async firstUpdated(){if(!this.querySelector(this.constructor.selectorModalBody)){const e=document.createElement(this.constructor.selectorModalBody);this.appendChild(e)}}_computeAriaLabel(){var e,t,o;const r=this.querySelector(`${ic.P}-modal-label`),n=null===(e=null==r?void 0:r.textContent)||void 0===e?void 0:e.trim();if(n)return n;const s=null===(t=this.ariaLabel)||void 0===t?void 0:t.trim();if(s)return s;const a=this.querySelector(`${ic.P}-modal-heading`);return(null===(o=null==a?void 0:a.textContent)||void 0===o?void 0:o.trim())||""}_observeFooter(){const e=this.querySelector(`${ic.P}-modal-footer`);e&&(this._footerObserver=new MutationObserver(()=>{this._updateLoadingElement()}),this._footerObserver.observe(e,{attributes:!0,childList:!0,attributeFilter:["has-three-buttons"]}))}_observeHeader(){const e=this.querySelector(`${ic.P}-modal-header`);e&&(this._headerObserver=new MutationObserver(()=>{this.requestUpdate("ariaLabel")}),this._headerObserver.observe(e,{subtree:!0,characterData:!0,childList:!0}))}connectedCallback(){var e;null===(e=super.connectedCallback)||void 0===e||e.call(this),this._observeFooter(),this._observeHeader()}disconnectedCallback(){var e,t,o;null===(e=this._footerObserver)||void 0===e||e.disconnect(),null===(t=this._headerObserver)||void 0===t||t.disconnect(),null===(o=super.disconnectedCallback)||void 0===o||o.call(this)}render(){const{alert:e,size:t,hasScrollingContent:o}=this,r=this.containerClass.split(" ").filter(Boolean).reduce((e,t)=>Object.assign(Object.assign({},e),{[t]:!0}),{}),n=(0,Ei.H)(Object.assign({[`${ic.P}--modal-container`]:!0,[`${ic.P}--modal-container--${t}`]:t},r));return re.qy`
${o?re.qy`
`:""}
`}async updated(e){if(e.has("open"))if(this.open){this._launcher=this.ownerDocument.activeElement;const e=this.querySelector(this.constructor.selectorPrimaryFocus);if(await this.constructor._delay(),e)e.focus();else{const{primaryButton:e,secondaryButtons:t}=this._getFooterElements();if(e){"danger"===(null==e?void 0:e.getAttribute("kind"))&&t[0]?t[0].focus():e.focus()}else{const{first:e}=this.getFocusable();null==e||e.focus()}}}else this._launcher&&"function"==typeof this._launcher.focus&&(this._launcher.focus(),this._launcher=null);(e.has("loadingStatus")||e.has("loadingDescription")||e.has("loadingSuccessDelay")||e.has("loadingIconDescription"))&&(await this.constructor._delay(),this._updateLoadingElement())}static _delay(e=0){return new Promise(t=>{setTimeout(t,e)})}static get selectorCloseButton(){return`[data-modal-close],${ic.P}-modal-close-button`}static get selectorTabbable(){return ic.B}static get selectorPrimaryFocus(){return`[data-modal-primary-focus],${ic.P}-modal-footer ${ic.P}-button[kind="primary"]`}static get selectorModalBody(){return`${ic.P}-modal-body`}static get eventBeforeClose(){return`${ic.P}-modal-beingclosed`}static get eventClose(){return`${ic.P}-modal-closed`}static get eventOnLoadingSuccess(){return`${ic.P}-modal-on-loadingsuccess`}};gp.styles=vp,(0,te.Cg)([(0,ad.A)("click")],gp.prototype,"_handleClick",void 0),(0,te.Cg)([(0,ad.A)("keydown")],gp.prototype,"_handleHostKeydown",void 0),(0,te.Cg)([(0,ad.A)("document:keydown")],gp.prototype,"_handleKeydown",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],gp.prototype,"alert",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"aria-label"})],gp.prototype,"ariaLabel",void 0),(0,te.Cg)([(0,ki.MZ)({attribute:"container-class"})],gp.prototype,"containerClass",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"full-width"})],gp.prototype,"fullWidth",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"has-scrolling-content"})],gp.prototype,"hasScrollingContent",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0})],gp.prototype,"open",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0})],gp.prototype,"size",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,attribute:"prevent-close-on-click-outside"})],gp.prototype,"preventCloseOnClickOutside",void 0),(0,te.Cg)([(0,ki.MZ)({reflect:!0,attribute:"loading-status"})],gp.prototype,"loadingStatus",void 0),(0,te.Cg)([(0,ki.MZ)({type:String,attribute:"loading-description"})],gp.prototype,"loadingDescription",void 0),(0,te.Cg)([(0,ki.MZ)({type:Number,attribute:"loading-success-delay"})],gp.prototype,"loadingSuccessDelay",void 0),(0,te.Cg)([(0,ki.MZ)({type:String,attribute:"loading-icon-description"})],gp.prototype,"loadingIconDescription",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,reflect:!0,attribute:"should-submit-on-enter"})],gp.prototype,"shouldSubmitOnEnter",void 0),(0,te.Cg)([(0,ki.MZ)({type:Boolean,attribute:"prevent-close"})],gp.prototype,"preventClose",void 0),gp=(0,te.Cg)([(0,cc.Q)(`${ic.P}-modal`)],gp);var bp=gp;let Op=class extends re.WF{constructor(){super(...arguments),this.userDefinedTabindex=null}connectedCallback(){var e;null===(e=super.connectedCallback)||void 0===e||e.call(this),this.hasAttribute("tabindex")&&(this.userDefinedTabindex=this.getAttribute("tabindex")),this._resizeObserver=new ResizeObserver(()=>this.checkScroll()),this._resizeObserver.observe(this)}disconnectedCallback(){var e,t;null===(e=this._resizeObserver)||void 0===e||e.disconnect(),null===(t=super.disconnectedCallback)||void 0===t||t.call(this)}checkScroll(){const e=this.scrollHeight>this.clientHeight,t=null!==this.querySelector("[autoalign]");this.clientHeight<=300||t?this.setAttribute("no-fade",""):this.removeAttribute("no-fade"),null===this.userDefinedTabindex&&(e?(this.setAttribute("tabindex","0"),this.setAttribute("is-scrollable","")):(this.removeAttribute("tabindex"),this.removeAttribute("is-scrollable")))}render(){return re.qy` `}};Op.styles=vp,Op=(0,te.Cg)([(0,cc.Q)(`${ic.P}-modal-body`)],Op);var 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ne.PureComponent{constructor(){super(...arguments),this.ref1=ne.createRef(),this.ref2=ne.createRef(),this.useRef1=!0,this.doAnnouncements=()=>{const e=[];this.pendingValues.forEach(t=>{"string"==typeof t?e.push(t):su(t,e)});const t=this.useRef1?this.ref1.current:this.ref2.current;if(t){t.innerText=e.join(" ");(this.useRef1?this.ref2.current:this.ref1.current).innerHTML=""}this.useRef1=!this.useRef1,this.pendingValues=null}}announceValue(e){if(e)if(this.pendingValues||(this.pendingValues=[],setTimeout(this.doAnnouncements,250)),"string"==typeof e||function(e){return void 0!==e.nodeType}(e))this.pendingValues.push(e);else if(e.messageID){const t=this.props.intl.formatMessage({id:e.messageID},e.messageValues);this.pendingValues.push(t)}else this.pendingValues.push(e.messageText)}render(){return ne.createElement(jp,{className:"cds-aichat--aria-announcer"},ne.createElement("div",{ref:this.ref1,"aria-live":"polite"}),ne.createElement("div",{ref:this.ref2,"aria-live":"polite"}))}}function 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r={ui_state:{id:Du(t.id,e)||du(cu.LOCAL_MESSAGE),needsAnnouncement:!t.ui_state_internal?.from_history},item:e,fullMessageID:t.id};return o&&(r.ui_state.isWelcomeResponse=!0),r}function Yu(e){return function(e){const t=wu(e),o=Zu(e,t);return{originalMessage:t,localMessage:o}}({response_type:z.INLINE_ERROR,text:e})}function Uu(e,t,o,r,n){const{item:s}=e;if(qu(s))e.ui_state.gridLocalMessageItemIDs=s.rows.map(n=>n.cells.map(n=>{const s=[];return ju("items",e,n.items,s,t,o,r,t=>Wu(e.item,t),!1),s}));else if(Qu(s))e.ui_state.itemsLocalMessageItemIDs=[],ju("items",e,s.items,e.ui_state.itemsLocalMessageItemIDs,t,o,r,e=>Wu(s,e),n);else{const a=s.body||s.panel?.body;if(a&&(e.ui_state.bodyLocalMessageItemIDs=[],ju("body",e,a,e.ui_state.bodyLocalMessageItemIDs,t,o,r,e=>Wu(s,e),!Pu(s))),!n)return;const i=s.footer||s.panel?.footer;i&&(e.ui_state.footerLocalMessageItemIDs=[],ju("footer",e,i,e.ui_state.footerLocalMessageItemIDs,t,o,r,e=>function(e,t){if(zu(t))return!Pu(e)||!Pu(t);return!1}(s,e),!Pu(s)))}}function ju(e,t,o,r,n,s,a,i,c){o.forEach(e=>{if(i(e)){const t=Zu(e,n,!1);r.push(t.ui_state.id),a.push(t),Tu(t.item)&&Uu(t,n,s,a,c)}else t.item.response_type,e.response_type})}function Wu(e,t){switch(e.response_type){case z.CARD:return!Su(t)&&Ru(t);case z.CAROUSEL:return Su(t);case z.BUTTON:return e.button_type===M.SHOW_PANEL&&Ru(t);case z.GRID:return!Su(t)&&Ru(t);default:return!1}}const Bu="CHANGE_STATE",Fu="HYDRATE_CHAT",Gu="HYDRATE_MESSAGE_HISTORY",Hu="ADD_LOCAL_MESSAGE_ITEM",Ku="REMOVE_MESSAGES",Ju="UPDATE_LOCAL_MESSAGE_ITEM",eh="SET_APP_STATE_VALUE",th="ADD_IS_LOADING_COUNTER",oh="RESET_IS_LOADING_COUNTER",rh="ADD_IS_HYDRATING_COUNTER",nh="RESET_IS_HYDRATING_COUNTER",sh="SET_VIEW_STATE",ah="SET_VIEW_CHANGING",ih="SET_INITIAL_VIEW_CHANGE_COMPLETE",ch="MESSAGE_SET_OPTION_SELECTED",dh="SET_MESSAGE_UI_PROPERTY",lh="SET_MESSAGE_UI_STATE_INTERNAL_PROPERTY",ph="SET_MESSAGE_RESPONSE_HISTORY_PROPERTY",uh="MERGE_HISTORY",hh="SET_LAUNCHER_PROPERTY",fh="ANNOUNCE_MESSAGE",mh="SET_CHAT_MESSAGES_PROPERTY",vh="RESTART_CONVERSATION",gh="ACCEPTED_DISCLAIMER",bh="ADD_MESSAGE",Oh="UPDATE_HAS_SENT_NON_WELCOME_MESSAGE",yh="UPDATE_PERSISTED_STATE",kh="SET_HOME_SCREEN_IS_OPEN",xh="UPDATE_MESSAGE",_h="SET_LAUNCHER_MINIMIZED",wh="CLOSE_IFRAME_PANEL",$h="OPEN_IFRAME_CONTENT",Sh="SET_CONVERSATIONAL_SEARCH_CITATION_PANEL_IS_OPEN",Qh="SET_CUSTOM_PANEL_OPTIONS",zh="SET_WORKSPACE_PANEL_OPTIONS",Ph="SET_CUSTOM_PANEL_OPEN",Th="SET_WORKSPACE_PANEL_OPEN",Eh="GO_BACK_TO_HOME",Mh="UPDATE_INPUT_STATE",Ch="SET_IS_PAGE_VISIBLE",Rh="ADD_INPUT_FILE",Ah="CLEAR_INPUT_FILES",Xh="REMOVE_INPUT_FILE",qh="REMOVE_LOCAL_MESSAGE_ITEM",Ih="FILE_UPLOAD_INPUT_ERROR",Nh="ADD_NESTED_MESSAGES",Dh="SET_RESPONSE_PANEL_IS_OPEN",Lh="SET_PANEL_RESPONSE_CONTENT",Vh="STREAMING_ADD_CHUNK",Zh="STREAMING_START",Yh="STREAMING_MERGE_MESSAGE_OPTIONS",Uh="SET_STOP_STREAMING_BUTTON_VISIBLE",jh="SET_STOP_STREAMING_BUTTON_DISABLED",Wh="SET_STREAM_ID",Bh="UPDATE_THEME_STATE",Fh="SET_IS_RESTARTING",Gh="SET_ACTIVE_RESPONSE_ID",Hh={changeState(e){return{type:Bu,partialState:e}},chatWasHydrated(){return{type:Fu}},hydrateMessageHistory(e){return{type:Gu,messageHistory:e}},removeMessages(e){return{type:Ku,messageIDs:e}},restartConversation(){return{type:vh}},addLocalMessageItem(e,t,o,r){return{type:Hu,messageItem:e,message:t,addMessage:o,addAfterID:r}},addMessage(e){return{type:bh,message:e}},updateLocalMessageItem(e){return{type:Ju,messageItem:e}},updateMessage(e){return{type:xh,message:e}},messageSetOptionSelected(e,t){return{type:ch,messageID:e,sentMessage:t}},updatePersistedState(e){return{type:yh,chatState:e}},updateHasSentNonWelcomeMessage(e){return{type:Oh,hasSentNonWelcomeMessage:e}},setAppStateValue(e,t){return{type:eh,key:e,value:t}},addIsLoadingCounter(e,t){return{type:th,addToIsLoading:e,message:t}},resetIsLoadingCounter(){return{type:oh}},addIsHydratingCounter(e){return{type:rh,addToIsHydrating:e}},resetIsHydratingCounter(){return{type:oh}},setActiveResponseId(e){return{type:Gh,activeResponseId:e}},setViewState(e){return{type:sh,viewState:e}},setViewChanging(e){return{type:ah,viewChanging:e}},setInitialViewChangeComplete(e){return{type:ih,changeComplete:e}},setMessageUIProperty(e,t,o){return{type:dh,localMessageID:e,propertyName:t,propertyValue:o}},setLauncherProperty(e,t){return{type:hh,propertyName:e,propertyValue:t}},setMessageResponseHistoryProperty(e,t,o){return{type:ph,messageID:e,propertyName:t,propertyValue:o}},setMessageUIStateInternalProperty(e,t,o){return{type:lh,messageID:e,propertyName:t,propertyValue:o}},mergeMessageHistory(e,t){return{type:uh,messageID:e,history:t}},setMessageErrorState(e,t){return Hh.setMessageResponseHistoryProperty(e,"error_state",t)},setMessageWasAnnounced(e){return Hh.setMessageUIProperty(e,"needsAnnouncement",!1)},announceMessage(e){return{type:fh,message:e}},setChatMessagesStateProperty(e,t){return{type:mh,propertyName:e,propertyValue:t}},acceptDisclaimer(){return{type:gh}},setHomeScreenIsOpen(e){return{type:kh,isOpen:e}},setLauncherMinimized(){return{type:_h}},closeIFramePanel(){return{type:wh}},setIFrameContent(e){return{type:$h,messageItem:e}},setViewSourcePanelIsOpen(e,t,o){return{type:Sh,isOpen:e,citationItem:t,relatedSearchResult:o}},setCustomPanelConfigOptions(e){return{type:Qh,options:e}},setCustomPanelOpen(e){return{type:Ph,isOpen:e}},setWorkspaceCustomPanelConfigOptions(e){return{type:zh,options:e}},setWorkspaceCustomPanelOpen(e){return{type:Th,isOpen:e}},toggleHomeScreen(){return{type:Eh}},updateInputState(e,t){return{type:Mh,newState:e,isInputToHumanAgent:t}},setIsBrowserPageVisible(e){return{type:Ch,isVisible:e}},addInputFile(e,t){return{type:Rh,file:e,isInputToHumanAgent:t}},removeFileUpload(e,t){return{type:Xh,fileID:e,isInputToHumanAgent:t}},removeLocalMessageItem(e){return{type:qh,localMessageItemID:e}},fileUploadInputError(e,t,o){return{type:Ih,fileID:e,errorMessage:t,isInputToHumanAgent:o}},clearInputFiles(e){return{type:Ah,isInputToHumanAgent:e}},addNestedMessages(e){return{type:Nh,localMessageItems:e}},setResponsePanelIsOpen(e){return{type:Dh,isOpen:e}},setResponsePanelContent(e,t=!1){return{type:Lh,localMessageItem:e,isMessageForInput:t}},streamingStart(e){return{type:Zh,messageID:e}},streamingMergeMessageOptions(e,t){return{type:Yh,messageID:e,message_options:t}},streamingAddChunk(e,t,o){return{type:Vh,fullMessageID:e,chunkItem:t,isCompleteItem:o}},setStopStreamingButtonVisible(e){return{type:Uh,isVisible:e}},setStopStreamingButtonDisabled(e){return{type:jh,isDisabled:e}},setStreamID(e){return{type:Wh,currentStreamID:e}},setIsRestarting(e){return{type:Fh,isRestarting:e}},updateThemeState(e){return{type:Bh,themeState:e}}},Kh="HA_SET_HUMAN_AGENT_AVAILABILITY",Jh="HA_SET_IS_CONNECTING",ef="HA_SET_IS_RECONNECTING",tf="HA_SET_HUMAN_AGENT_JOINED",of="HA_SET_HUMAN_AGENT_LEFT_CHAT",rf="HA_END_CHAT",nf="HA_UPDATE_CAPABILITIES",sf="HA_UPDATE_FILE_UPLOAD_IN_PROGRESS",af="HA_SET_SHOW_SCREEN_SHARE_REQUEST",cf="HA_SET_IS_SCREEN_SHARING",df="HA_SET_PERSISTED_STATE",lf="HA_UPDATE_IS_SUSPENDED",pf="HA_UPDATE_IS_TYPING";function uf(e,t){return{type:Jh,isConnecting:e,localMessageID:t}}function hf(e){return{type:ef,isReconnecting:e}}function ff(){return{type:rf}}function mf(e){return{type:tf,responseUserProfile:e}}function vf(e){return{type:sf,fileUploadInProgress:e}}function gf(e){return{type:af,showRequest:e}}function bf(e){return{type:cf,isSharing:e}}const Of="1.6.0",yf=15e3;function kf(e){return Object.freeze(e),Object.getOwnPropertyNames(e).forEach(t=>{!Object.prototype.hasOwnProperty.call(e,t)||null===e[t]||"object"!=typeof e[t]&&"function"!=typeof e[t]||Object.isFrozen(e[t])||kf(e[t])}),e}const xf={isOn:!0,minimizeButtonIconType:O.MINIMIZE,showAiLabel:!0};kf(xf);const _f={isOn:!0,mobile:{isOn:!1,title:"",timeToExpand:yf},desktop:{isOn:!1,title:"",timeToExpand:yf}};kf(_f);const wf={hideBackButton:!1,disableAnimation:!1};kf(wf);const $f={disableAnimation:!1,preferredLocation:"end"};kf($f);const Sf={[a.DEFAULT]:wf,[a.WORKSPACE]:$f};kf(Sf);const Qf={isOpen:!1,panelID:D,options:wf};kf(Qf);const zf={isOpen:!1,panelID:L,options:$f};kf(zf);const Pf={isOpen:!1,messageItem:null};kf(Pf);const Tf={isOpen:!1,citationItem:null};kf(Tf);const Ef={isOpen:!1,localMessageItem:null,isMessageForInput:!1};kf(Ef);const Mf={launcher:!1,mainWindow:!1};kf(Mf);const Cf={launcher:!0,mainWindow:!1};kf(Cf);const Rf={mainWindow:!0,launcher:!1};kf(Rf);const Af={rawValue:"",displayValue:"",fieldVisible:!0,isReadonly:!1,files:[],allowFileUploads:!1,allowMultipleFileUploads:!1,allowedFileUploadTypes:null,stopStreamingButtonState:{currentStreamID:null,isVisible:!1,isDisabled:!1}};kf(Af);const Xf={disclaimersAccepted:{},homeScreenState:{isHomeScreenOpen:!1,showBackToAssistant:!1},humanAgentState:{isConnected:!1,isSuspended:!1,responseUserProfiles:{},responseUserProfile:null},hasSentNonWelcomeMessage:!1,wasLoadedFromBrowser:!1,version:Of,viewState:Mf,showUnreadIndicator:!1,launcherIsExpanded:!1,launcherShouldStartCallToActionCounterIfEnabled:!0};kf(Xf);const qf={isConnecting:!1,isReconnecting:!1,availability:null,numUnreadMessages:0,fileUploadInProgress:!1,activeLocalMessageID:null,showScreenShareRequest:!1,isScreenSharing:!1,isHumanAgentTyping:!1,inputState:Af};kf(qf);const If={localMessageIDs:[],messageIDs:[],activeResponseId:null,isMessageLoadingCounter:0,isMessageLoadingText:void 0,isHydratingCounter:0,isScrollAnchored:!1};kf(If);const Nf={allMessageItemsByID:{},allMessagesByID:{},assistantMessageState:{...If}};kf(Nf);const Df={derivedCarbonTheme:null,originalCarbonTheme:null,aiEnabled:!0,corners:c.ROUND};kf(Df);const Lf={showFrame:!0,hasContentMaxWidth:!0};function Vf(e,t){return{...e,assistantMessageState:{...e.assistantMessageState,...t}}}function Zf(e,t,o){return void 0===o&&(o=e.persistedToBrowserStorage.homeScreenState.showBackToAssistant),{...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,homeScreenState:{...e.persistedToBrowserStorage.homeScreenState,isHomeScreenOpen:t,showBackToAssistant:o}}}}function Yf(e,t,o,r){const n=e.allMessageItemsByID[t];return n?{...e,allMessageItemsByID:{...e.allMessageItemsByID,[t]:{...n,ui_state:{...n.ui_state,[o]:r}}}}:e}function Uf(e,t){const o={...e,allMessagesByID:{...e.allMessagesByID,[t.id]:t}};if(!e.allMessagesByID[t.id]){return Vf(o,{messageIDs:[...e.assistantMessageState.messageIDs,t.id]})}return o}kf(Lf);const jf=e=>e.assistantInputState,Wf=e=>e.humanAgentState.inputState,Bf=e=>e.humanAgentState,Ff=e=>e.persistedToBrowserStorage.humanAgentState;function Gf(e){const t=Bf(e),o=Ff(e);if(o.isSuspended)return{isConnectingOrConnected:!1,disableInput:!1,isHumanAgentTyping:!1,inputPlaceholderKey:null};const{isReconnecting:r,isConnecting:n,isHumanAgentTyping:s}=t,{isConnected:a}=o;let i;return i=n?"agent_inputPlaceholderConnecting":r?"agent_inputPlaceholderReconnecting":null,{isHumanAgentTyping:s,isConnectingOrConnected:n||a,disableInput:n||r,inputPlaceholderKey:i}}function Hf(e){return Gf(e).isConnectingOrConnected}function Kf(e){return Hf(e)?Wf(e):jf(e)}function Jf(e){const{iFramePanelState:t,viewSourcePanelState:o,responsePanelState:r,customPanelState:n}=e;return!!t.isOpen||(!!o.isOpen||(!!r.isOpen||!(!n.isOpen||n.options.hideBackButton)))}function em(){let e,t;const o=new Promise((o,r)=>{e=o,t=r});return o.doResolve=t=>{o.isResolved=!0,o.isComplete=!0,e(t)},o.doReject=e=>{o.isRejected=!0,o.isComplete=!0,t(e)},o.isResolved=!1,o.isRejected=!1,o.isComplete=!1,o}class tm{constructor(){this.responseToMeta=new Map,this.itemToResponse=new Map}resolveResponseId(e){return this.itemToResponse.get(e)??e}track(e,t,o,r){const n=this.responseToMeta.get(e);if(n)return t&&!n.requestId&&(n.requestId=t),o&&!n.controller&&(n.controller=o),r&&(n.itemIds.add(r),this.itemToResponse.set(r,e)),n;const s={requestId:t,controller:o,itemIds:new Set};return r&&(s.itemIds.add(r),this.itemToResponse.set(r,e)),this.responseToMeta.set(e,s),s}getMeta(e){return this.responseToMeta.get(e)}clear(e){const t=this.responseToMeta.get(e);return t&&(t.itemIds.forEach(e=>this.itemToResponse.delete(e)),this.responseToMeta.delete(e)),t}}function om(e,t){const o=Iu(e),r=function(e){return Boolean(e.complete_item)}(e),n=Nu(e);let s,a=t;return a||("streaming_metadata"in e&&e.streaming_metadata?a=e.streaming_metadata.response_id:n&&e.final_response?.id&&(a=e.final_response.id)),(o||r)&&(s=e.partial_item||e.complete_item),{messageID:a,item:s,isPartialItem:o,isCompleteItem:r,isFinalResponse:n}}function rm(e){e.getState().assistantInputState.stopStreamingButtonState.isVisible&&(e.dispatch(Hh.setStopStreamingButtonDisabled(!1)),e.dispatch(Hh.setStopStreamingButtonVisible(!1)))}class nm{constructor(e){this.hydrating=!1,this.restarting=!1,this.alreadyHydrated=!1,this.restartGeneration=0,this.messageGenerations=new Map,this.chunkQueue=[],this.serviceManager=e}async hydrateChat(e,t,o){let r=!1;try{this.hydrationPromise||(this.hydrating=!0,this.hydrationPromise=this.doHydrateChat(e,t,o),r=!0),await this.hydrationPromise}finally{this.hydrating=!1}r&&await this.serviceManager.fire({type:d.CHAT_READY})}async doHydrateChat(e,t,o){let r;const{serviceManager:n}=this;n.store.dispatch(Hh.addIsHydratingCounter(1)),this.alreadyHydrated||(r=await this.serviceManager.historyService.loadHistory(),n.humanAgentService&&!n.humanAgentService.hasInitialized&&await n.humanAgentService.initialize());const{config:s}=n.store.getState();if(r){n.store.dispatch(Hh.hydrateMessageHistory(r.messageHistory));const{messageIDs:e}=r.messageHistory.assistantMessageState,t=e.length>0?e[e.length-1]:null,o=t?r.messageHistory.allMessagesByID[t]:null,s=o&&mu(o)?o.id:null;n.store.dispatch(Hh.setActiveResponseId(s)),await this.createElementsForUserDefinedResponses(r.messageHistory),r.latestPanelLocalMessageItem&&this.openResponsePanel(r.latestPanelLocalMessageItem,!0)}else if(!e){const e=n.store.getState();e.config.public.homescreen?.isOn?n.store.dispatch(Hh.setHomeScreenIsOpen(!0)):s.public.messaging?.skipWelcome||this.shouldSkipWelcomeForAgentSession(e)||await n.actions.send(vu({id:du(cu.MESSAGE),input:{text:""},history:{silent:!0,is_welcome_request:!0},thread_id:fu}),p.WELCOME_REQUEST,{},!0)}n.store.dispatch(Hh.chatWasHydrated()),n.store.dispatch(Hh.addIsHydratingCounter(-1));const a=s.public.serviceDesk.allowReconnect??!0;this.serviceManager?.humanAgentService?.handleHydration(a,Boolean(r)),this.alreadyHydrated=!0}getPublicChatState(){const e=this.serviceManager.store.getState(),{persistedToBrowserStorage:t,assistantMessageState:o}=e,r=kf(ln(t)),{humanAgentState:n,...s}=r,a=kf({...n,isConnecting:e.humanAgentState.isConnecting}),i=kf({rawValue:Kf(e).rawValue??""}),c=kf({default:{isOpen:Boolean(e.customPanelState.isOpen)},workspace:{isOpen:Boolean(e.workspacePanelState.isOpen),options:{disableAnimation:Boolean(e.workspacePanelState.options.disableAnimation),preferredLocation:e.workspacePanelState.options.preferredLocation}}});return kf({...s,humanAgent:a,isMessageLoadingCounter:o.isMessageLoadingCounter,isMessageLoadingText:o.isMessageLoadingText,isHydratingCounter:o.isHydratingCounter,activeResponseId:o.activeResponseId??null,input:i,customPanels:c})}updateRawInputValue(e){this.updateInputValue("rawValue",e)}updateInputValue(e,t){if("function"!=typeof t)return;const{store:o}=this.serviceManager,r=o.getState(),n=Kf(r),s=n[e]??"";let a;try{a=t(s)}catch(e){return}if("string"!=typeof a&&(a=null==a?"":String(a)),a===s)return;const i={[e]:a};"rawValue"===e&&(n.displayValue??"")===s&&(i.displayValue=a),o.dispatch(Hh.updateInputState(i,Hf(r)))}async sendWithCatch(e,t,o={},r=!1){try{await this.send(e,t,o,r)}catch(e){}}async send(e,t,o={},r=!1){const n="string"==typeof e?xu(e):e;this.serviceManager.store.dispatch(Hh.setActiveResponseId(null)),this.serviceManager.store.getState().persistedToBrowserStorage.homeScreenState.isHomeScreenOpen&&this.serviceManager.store.dispatch(Hh.setHomeScreenIsOpen(!1)),this.serviceManager.store.getState().responsePanelState.isOpen&&this.serviceManager.store.dispatch(Hh.setResponsePanelIsOpen(!1)),this.hydrationPromise||r?(r||await this.hydrationPromise,await this.doSend(n,t,o)):(this.serviceManager.store.dispatch(Hh.setHomeScreenIsOpen(!1)),await this.hydrateChat(n,t,o),await this.doSend(n,t,o))}async doSend(e,t,o={}){const{store:r}=this.serviceManager;vu(e),r.dispatch(Hh.setActiveResponseId(null));const n=e.history?.label||e.input.text;o.silent&&(e.history.silent=!0);const s=lu(e,n);e.history.silent?r.dispatch(Hh.addMessage(e)):r.dispatch(Hh.addLocalMessageItem(s,e,!0)),o.setValueSelectedForMessageID&&r.dispatch(Hh.messageSetOptionSelected(o.setValueSelectedForMessageID,e)),kf(e),await this.serviceManager.messageService.send(ln(e),t,s.ui_state.id,o)}async receive(e,t=!1,o){const{restartCount:r}=this.serviceManager;e.id||(e.id=du(cu.MESSAGE));const n={type:d.PRE_RECEIVE,data:e};if(await this.serviceManager.fire(n),r!==this.serviceManager.restartCount)return;if(t||this.serviceManager.store.dispatch(Hh.updateHasSentNonWelcomeMessage(!0)),r!==this.serviceManager.restartCount)return;const{languagePack:s}=this.serviceManager.store.getState().config.derived;if(mu(e))this.processMessageResponse(e,t,o).catch(e=>{});else{const t=_u(s.errors_singleMessage,e?.thread_id,z.INLINE_ERROR);this.receive(t,!1)}kf(e),await this.serviceManager.fire({type:d.RECEIVE,data:e})}async removeMessages(e){this.serviceManager.store.dispatch(Hh.removeMessages(e))}async insertHistory(e){const t=this.serviceManager.mainWindow?.getMessagesScrollBottom(),o=this.serviceManager.store.getState(),r={notes:[{body:e}]},n=await this.serviceManager.historyService.loadHistory(r);if(!n)return;const s={allMessageItemsByID:o.allMessageItemsByID,allMessagesByID:o.allMessagesByID,assistantMessageState:o.assistantMessageState},a=Ar({},n.messageHistory,s);a.assistantMessageState.messageIDs=[...n.messageHistory.assistantMessageState.messageIDs,...s.assistantMessageState.messageIDs],a.assistantMessageState.localMessageIDs=[...n.messageHistory.assistantMessageState.localMessageIDs,...s.assistantMessageState.localMessageIDs],this.serviceManager.store.dispatch(Hh.hydrateMessageHistory(a));const i=a.assistantMessageState.messageIDs,c=i.length>0?i[i.length-1]:null,d=c?a.allMessagesByID[c]:null,l=d&&mu(d)?d.id:null;this.serviceManager.store.dispatch(Hh.setActiveResponseId(l)),await this.createElementsForUserDefinedResponses(n.messageHistory),this.serviceManager.mainWindow?.doAutoScroll({scrollToBottom:t})}async receiveChunk(e,t,o={}){if(Iu(e)){const o=t||"streaming_metadata"in e&&e.streaming_metadata?.response_id;this.serviceManager.messageService.markCurrentMessageAsStreaming(o,e.partial_item?.streaming_metadata?.id)}const r=em();return this.chunkQueue.push({chunk:e,messageID:t,options:o,chunkPromise:r}),1===this.chunkQueue.length&&this.processChunkQueue(),r}async processChunkQueue(){const{chunk:e,options:t,chunkPromise:o}=this.chunkQueue[0],{store:r}=this.serviceManager;try{const{messageID:n,item:s,isCompleteItem:a,isPartialItem:i,isFinalResponse:c}=om(e,this.chunkQueue[0].messageID),d=r.getState().assistantInputState.stopStreamingButtonState,l=()=>{(a||c)&&d.isVisible&&rm(r)};if(this.shouldSkipChunkDueToGeneration(n,l))return void this.advanceChunkQueue(o);this.maybeShowStopStreaming(e,i,d),n&&r.dispatch(Hh.setActiveResponseId(n)),a||i?await this.handleStreamingChunk(e,n,s,a):Nu(e)&&await this.handleFinalResponseChunk(e,n,t),this.resetStopStreamingIfNeeded(a,e),this.advanceChunkQueue(o)}catch(e){this.advanceChunkQueue(o,e)}}shouldSkipChunkDueToGeneration(e,t){const o=this.serviceManager.messageService.inboundStreaming;return!(!e||!o||o.validateChunkGeneration(e,this.messageGenerations,this.restartGeneration,t))}maybeShowStopStreaming(e,t,o){var r,n;!!t&&(r=e.partial_item?.streaming_metadata,n=o.isVisible,Boolean(r?.cancellable&&!n))&&this.serviceManager.store.dispatch(Hh.setStopStreamingButtonVisible(!0))}async handleStreamingChunk(e,t,o,r){const{store:n}=this.serviceManager;t&&!n.getState().allMessagesByID[t]&&n.dispatch(Hh.streamingStart(t)),t&&o&&n.dispatch(Hh.streamingAddChunk(t,o,r)),function(e,t,o){o.partial_response?.message_options&&t&&e.dispatch(Hh.streamingMergeMessageOptions(t,o.partial_response.message_options))}(n,t,e),t&&o&&await this.handleUserDefinedResponseItemsChunk(t,e,o)}async handleFinalResponseChunk(e,t,o){await this.receive(e.final_response,o.isLatestWelcomeNode,null),t&&this.serviceManager.messageService.finalizeStreamingMessage(t)}resetStopStreamingIfNeeded(e,t){(e||Nu(t))&&rm(this.serviceManager.store)}advanceChunkQueue(e,t){this.chunkQueue.shift(),t?e.doReject(t):e.doResolve(),this.chunkQueue[0]&&this.processChunkQueue()}getOrCreateUserDefinedElement(e){let t=this.serviceManager.userDefinedElementRegistry.get(e);return t||(t={slotName:`slot-user-defined-${du()}`},this.serviceManager.userDefinedElementRegistry.set(e,t)),t}async handleUserDefinedResponseItems(e,t){if(Mu(e.item)){let o;e.item.user_defined?.silent||({slotName:o}=this.getOrCreateUserDefinedElement(e.ui_state.id));const r={type:d.USER_DEFINED_RESPONSE,data:{message:e.item,fullMessage:t,slot:o}};await this.serviceManager.fire(r)}else if(Tu(e.item)){const{itemsLocalMessageItemIDs:o,bodyLocalMessageItemIDs:r,footerLocalMessageItemIDs:n,gridLocalMessageItemIDs:s}=e.ui_state,{allMessageItemsByID:a}=this.serviceManager.store.getState(),i=e=>{const o=a[e];return this.handleUserDefinedResponseItems(o,t)};s?.length&&await uu(s,e=>uu(e,e=>uu(e,e=>i(e)))),o?.length&&await uu(o,i),r?.length&&await uu(r,i),n?.length&&await uu(n,i)}}async handleUserDefinedResponseItemsChunk(e,t,o){if(Mu(o)){const r=Du(e,o);let n;o.user_defined?.silent||({slotName:n}=this.getOrCreateUserDefinedElement(r));const s={type:d.CHUNK_USER_DEFINED_RESPONSE,data:{messageItem:o,chunk:t,slot:n}};await this.serviceManager.fire(s)}}async processMessageResponse(e,t,o){const{store:r}=this.serviceManager,{config:n}=r.getState(),s=this.serviceManager.restartCount,a=e.output.generic;e.request_id=o?.id,vu(e),r.dispatch(Hh.setActiveResponseId(e.id)),r.dispatch(Hh.addMessage(e));let i=null;for(let o=0;o{})),a}async fireViewChangeEventsAndChangeView(e,t){const{store:o}=this.serviceManager;if(o.getState().viewChanging)throw new Error("The view may not be changed while a view change event is already running. Please make sure to resolve any promises from these events.");o.dispatch(Hh.setViewChanging(!0));const{viewState:r}=o.getState().persistedToBrowserStorage,{viewChangeReason:n}=t,s=kf(r);try{const t={type:d.VIEW_PRE_CHANGE,reason:n,oldViewState:s,newViewState:e,cancelViewChange:!1};if(await this.serviceManager.fire(t),t.cancelViewChange)return;e=t.newViewState,o.dispatch(Hh.setViewState(kf(e)));const r={type:d.VIEW_CHANGE,reason:n,oldViewState:s,newViewState:e,cancelViewChange:!1};if(await this.serviceManager.fire(r),r.cancelViewChange)return void o.dispatch(Hh.setViewState(s));e=r.newViewState,o.dispatch(Hh.setViewState(kf(e)))}finally{o.dispatch(Hh.setViewChanging(!1))}}errorOccurred(e){e.catastrophicErrorType&&this.serviceManager.store.dispatch(Hh.setAppStateValue("catastrophicErrorType",e.catastrophicErrorType)),function(e,t){if(e)try{e(t)}catch(e){}}(this.serviceManager.store.getState().config.public.onError,e)}async restartConversation(e={}){const{skipHydration:t=!1,endHumanAgentConversation:o=!0,fireEvents:r=!0}=e;if(!this.restarting)try{const{serviceManager:e}=this,{store:n}=e,s=n.getState();r&&await e.fire({type:d.PRE_RESTART_CONVERSATION}),this.restarting=!0,this.restartGeneration++,n.dispatch(Hh.setIsRestarting(!0)),e.restartCount++,0!==s.config.public.messaging.messageLoadingIndicatorTimeoutSecs&&n.dispatch(Hh.resetIsLoadingCounter()),this.hydrating&&await this.hydrationPromise;const a=n.getState(),{isConnecting:i}=a.humanAgentState,{isConnected:c}=a.persistedToBrowserStorage.humanAgentState;(c||i)&&o&&await e.humanAgentService.endChat(!0,!1,!1),this.serviceManager.instance.updateInputFieldVisibility(!0),await this.serviceManager.messageService.cancelAllMessageRequests(),rm(n),n.dispatch(Hh.restartConversation()),t||(this.hydrationPromise=null),r&&await e.fire({type:d.RESTART_CONVERSATION}),this.hydrating&&await this.hydrationPromise,t||e.store.getState().isHydrated?n.dispatch(Hh.chatWasHydrated()):(this.hydrationPromise=null,n.getState().persistedToBrowserStorage.viewState.mainWindow&&await e.actions.hydrateChat())}finally{this.restarting=!1,this.serviceManager.store.dispatch(Hh.setIsRestarting(!1))}}async destroySession(e){const{store:t}=this.serviceManager,{persistedToBrowserStorage:o}=t.getState(),r=o.viewState,n=ln(Xf);n.viewState=e?r:Cf,this.serviceManager.messageService.cancelAllMessageRequests(),this.serviceManager.userSessionStorageService.clearSession(),this.serviceManager.store.dispatch(Hh.setAppStateValue("persistedToBrowserStorage",n))}agentEndConversation(e){return this.serviceManager.humanAgentService.endChat(e)}agentUpdateIsSuspended(e){this.serviceManager.store.dispatch(function(e){return{type:lf,isSuspended:e}}(e))}async createElementsForUserDefinedResponses(e){await uu(Object.values(e.allMessageItemsByID),t=>{const o=e.allMessagesByID[t.fullMessageID];return this.handleUserDefinedResponseItems(t,o)})}shouldSkipWelcomeForAgentSession(e){const{humanAgentState:t}=e.persistedToBrowserStorage;return!!t.isConnected||(!!t.responseUserProfile||!!t.serviceDeskState)}}class sm{constructor(){this.handlersByType=new Map,this.eventsTypesRunning=new Set,this.eventsRunningCount=0}async fire(e,t){am("Before fire",e);const{type:o}=e;if(!o)throw new Error(`Attempted to fire an event with no type! ${JSON.stringify(e)}`);if(this.eventsTypesRunning.has(o))throw new Error(`An event of type ${o} is already running. Please make sure that you have resolved the Promises for any earlier events that were fired.`);try{this.eventsRunningCount++;try{this.eventsTypesRunning.add(o);const r=this.handlersByType.get(o);if(r&&r.length){const o=r.slice();await uu(o,function(o){return o(e,t)})}}finally{this.eventsTypesRunning.delete(o)}}finally{this.eventsRunningCount--,this.waitForEmptyPromise&&0===this.eventsRunningCount&&this.waitForEmptyPromise.doResolve()}am("After fire",e)}fireSync(e,t){am("Before fire",e);const{type:o}=e,r=this.handlersByType.get(o);if(r&&r.length){r.slice().forEach(o=>o(e,t))}am("After fire",e)}async waitForEmpty(){0!==this.eventsRunningCount&&(this.waitForEmptyPromise||(this.waitForEmptyPromise=em()),await this.waitForEmptyPromise,this.waitForEmptyPromise=null)}on(e){return pu(e).forEach(({type:e,handler:t})=>{if(!e)throw new Error(`Attempted to listen to an event with no type: "${e}"!`);if("function"==typeof t){this.handlersByType.has(e)||this.handlersByType.set(e,[]);this.handlersByType.get(e).push(t)}}),this}off(e){return pu(e).forEach(({type:e,handler:t})=>{const o=this.handlersByType.get(e);if(o)if(t){const e=o.indexOf(t);-1!==e&&o.splice(e,1)}else this.handlersByType.set(e,[])}),this}once(e){return pu(e).forEach(({type:e,handler:t})=>{if("function"==typeof t){const o=(r,n)=>(this.off({type:e,handler:o}),t(r,n));this.on({type:e,handler:o})}}),this}logListeners(){this.handlersByType.forEach((e,t)=>{e.forEach(e=>{})})}clear(){return this.handlersByType.clear(),this}}function am(e,t){if(j()){ln(t)}}async function im(e,t){const o={},r={},n={serviceManager:t,allMessages:[],allMessagesByID:r,allLocalMessagesByID:o,threadMessagesByThreadID:{},responsesByRequestID:{},relatedMessageByID:{},localMessagesByOriginalMessageID:{},lastThreadID:null,loadedHistory:{messageHistory:{allMessageItemsByID:o,allMessagesByID:r,assistantMessageState:null},latestTransferToHumanAgentResponse:null,latestPanelLocalMessageItem:null}};return await async function(e,t){const{allMessages:o,allMessagesByID:r,responsesByRequestID:n,relatedMessageByID:s,serviceManager:a,localMessagesByOriginalMessageID:i}=t;if(!e?.length)return;e.forEach(e=>{const o=e=>{const{message:o}=e;(function(e){return e?.input?.message_type===S.EVENT})(o)||!gu(o)&&!mu(o)||function(e,t,o){e.history=e.history||{},e.ui_state_internal=e.ui_state_internal||{},e.ui_state_internal.from_history=!0,e.history.timestamp=new Date(o.time).getTime(),e.thread_id!==fu&&(t.lastThreadID=e.thread_id);t.allMessagesByID[e.id]=e,t.allMessages.push(e)}(o,t,e)};e.body.forEach(o)});for(let e=o.length-1;e>=0;e--){const t=o[e];t.history?.file_upload_status===x.UPLOADING&&(t.history.file_upload_status=x.COMPLETE,t.history.error_state=q.FAILED),mu(t)&&t.history.silent?(o.splice(e,1),delete r[t.id]):(i[t.id]=[],mu(t)&&t.request_id?n[t.request_id]=t:gu(t)&&t.history.related_message_id&&(s[t.history.related_message_id]=t))}if(!o.length)return;Object.freeze(o);const c={type:d.HISTORY_BEGIN,messages:o};await a.eventBus.fire(c,a.instance),o.forEach(kf),await a.eventBus.fire({type:d.HISTORY_END,messages:o},a.instance)}(e,n),n.allMessages.length?(function(e){const{allMessages:t,allLocalMessagesByID:o,localMessagesByOriginalMessageID:r}=e;t.forEach(t=>{if(gu(t)){if(!t.history?.silent){const e=t.history?.label||t.input.text,n=lu(t,e);r[t.id].push(n),o[n.ui_state.id]=n}}else{const n=function(e){if(mu(e))return e.output.generic;return null}(t);n?.length&&n.forEach(n=>{if(!Ou(n)){const s=Zu(n,t,!1);if(r[t.id].push(s),o[s.ui_state.id]=s,Tu(s.item)){const o=[];Uu(s,t,!0,o,!0),o.forEach(t=>{const o=t.ui_state.id;e.loadedHistory.messageHistory.allMessageItemsByID[o]=t})}}})}!function(e,t){const{threadMessagesByThreadID:o}=t;let r=o[fu];r||(r=[],o[fu]=r);r.push(e)}(t,e)})}(n),function(e){const{loadedHistory:t,threadMessagesByThreadID:o,localMessagesByOriginalMessageID:r}=e;t.messageHistory.assistantMessageState=function(e,t){const o=[],r=[];e&&e.forEach(e=>{r.push(e.id),t[e.id].forEach(e=>{o.push(e.ui_state.id)})});return{...If,localMessageIDs:o,messageIDs:r}}(o[fu],r)}(n),function(e){const{responsesByRequestID:t,threadMessagesByThreadID:o,localMessagesByOriginalMessageID:r}=e,n=function(e,t){const o=function(e,t){if(e)for(let o=e.length-1;o>=0;o--)if(t(e[o],o,e))return o;return-1}(e,t);return-1===o?void 0:e[o]}(o[fu],e=>gu(e)&&e.history.is_welcome_request);if(n){const e=t[n.id];e&&r[e.id].forEach(e=>{e.ui_state.isWelcomeResponse=!0})}}(n),function({allMessages:e,relatedMessageByID:t,localMessagesByOriginalMessageID:o}){e.forEach(e=>{mu(e)&&o[e.id].forEach(o=>{if(yu(o.item)){const r=t[e.id];gu(r)&&(o.ui_state.optionSelected=r)}else if(function(e){return e?.item.response_type===z.DATE}(o)){const r=t[e.id];gu(r)&&(o.ui_state.originalUserText=r.history.label)}})})}(n),n.loadedHistory):null}class cm{constructor(e){this.serviceManager=e}async loadHistory(e){const t=this.serviceManager.store.getState(),{config:o}=t,r=o.public;try{let t;if(e)t=e;else if(r.messaging?.customLoadHistory){const e=await r.messaging.customLoadHistory(this.serviceManager.instance);t={notes:[{body:e}]}}if(t){const e=t?.notes;return im(e,this.serviceManager)}}catch(e){}return null}}function dm(e,t,o=wf){const r={[a.WORKSPACE]:{setConfig:Hh.setWorkspaceCustomPanelConfigOptions,setOpen:Hh.setWorkspaceCustomPanelOpen},[a.DEFAULT]:{setConfig:Hh.setCustomPanelConfigOptions,setOpen:Hh.setCustomPanelOpen}},{setConfig:n,setOpen:s}=r[e]??r[a.DEFAULT],i={open(e){const r=e??o,{store:a}=t;a.dispatch(n(r)),a.dispatch(s(!0))},close(){const{store:e}=t;e.dispatch(s(!1))}};return Object.freeze(i)}class lm{start(e,t,o,r,n){this.hasExceededMaxSilentLoading=!1,this.onEnd=t,r&&(this.onSilentLoading=setTimeout(()=>{this.hasExceededMaxSilentLoading=!0,e()},r)),n&&(this.onMaxAttempt=setTimeout(()=>{o()},n))}end(){this.onMaxAttempt&&clearTimeout(this.onMaxAttempt),this.onSilentLoading&&clearTimeout(this.onSilentLoading),this.onEnd&&this.onEnd(this.hasExceededMaxSilentLoading),this.hasExceededMaxSilentLoading=null,this.onEnd=null}}class pm{constructor(e,t){this.messageAbortControllers=e,this.moveToNextQueueItem=t,this.streamingMessageID=null,this.streamingTracker=new tm}resolveResponseId(e){return this.streamingTracker.resolveResponseId(e)}getStreamingMeta(e){return this.streamingTracker.getMeta(e)}markStreaming(e,t,o,r){const n=t??e?.message.id;if(this.streamingMessageID=n,n&&r){const e=this.messageAbortControllers.get(r);e&&this.messageAbortControllers.set(n,e)}if(!e||!n)return;if(e.isStreaming=!0,n&&n!==e.message.id){const t=e.sendMessageController;t&&this.messageAbortControllers.set(n,t)}const s=this.messageAbortControllers.get(n)||this.messageAbortControllers.get(e.message.id);this.streamingTracker.track(n,e.message.id,s,o)}finalizeStreamingMessage(e){const t=this.resolveResponseId(e);this.streamingMessageID===t&&this.moveToNextQueueItem();const o=this.streamingTracker.clear(t);this.messageAbortControllers.delete(t),o?.requestId&&o.requestId!==t&&this.messageAbortControllers.delete(o.requestId),this.streamingMessageID===t&&(this.streamingMessageID=null)}clearStreamingResponse(e){const t=this.streamingTracker.clear(e);return this.messageAbortControllers.delete(e),t?.requestId&&t.requestId!==e&&this.messageAbortControllers.delete(t.requestId),this.streamingMessageID===e&&(this.streamingMessageID=null),t}validateChunkGeneration(e,t,o,r){if(!e)return!0;const n=t.get(e);return void 0!==n&&n!==o?(r(),!1):(void 0===n&&t.set(e,o),!0)}}class um{constructor(e,t,o,r,n,s){this.serviceManager=e,this.messageLoadingManager=t,this.setMessageErrorState=o,this.getCurrent=r,this.moveToNextQueueItem=n,this.processSuccess=s}addErrorMessage(){const{store:e}=this.serviceManager,t=e.getState().config.derived.languagePack.errors_singleMessage,{originalMessage:o,localMessage:r}=Yu(t);e.dispatch(Hh.addLocalMessageItem(r,o,!0))}async processError(e,t){const{timeFirstRequest:o,timeLastRequest:r,isProcessed:n,requestOptions:s}=e;n||(e.trackData.lastRequestTime=Date.now()-r,e.trackData.totalRequestTime=Date.now()-o,s.silent&&this.addErrorMessage(),this.serviceManager.actions.errorOccurred({errorType:k.MESSAGE_COMMUNICATION,message:"An error occurred sending a message",otherData:t}),this.rejectFinalErrorOnMessage(e,t))}rejectFinalErrorOnMessage(e,t="An undefined error occurred trying to send your message."){const{sendMessagePromise:o}=e;this.setMessageErrorState(e,q.FAILED);const{message:r}=e;e===this.getCurrent()&&r.input.message_type!==S.EVENT&&this.messageLoadingManager.end(),o.doReject(new Error(t)),e.isProcessed=!0,e===this.getCurrent()&&this.moveToNextQueueItem()}resolveCancelledMessage(e){const{sendMessagePromise:t}=e;this.setMessageErrorState(e,q.NONE);const{message:o}=e;e===this.getCurrent()&&o.input.message_type!==S.EVENT&&this.messageLoadingManager.end(),t.doResolve(),e.isProcessed=!0,e===this.getCurrent()&&this.moveToNextQueueItem()}async send(e,t,o){if(e.timeLastRequest=Date.now(),!e.isProcessed)try{const r=ln(e.message);e.message=r,this.serviceManager.store.dispatch(Hh.updateMessage(r));const n={type:d.SEND,data:r,source:e.source};o?.(),await Promise.resolve(t(r,{signal:e.sendMessageController.signal,silent:e.requestOptions.silent,busEventSend:n},this.serviceManager.instance)),await this.processSuccess(e,null)}catch(t){const o=t&&("string"==typeof t?t:JSON.stringify(t))||"There was an unidentified error.";this.processError(e,o)}}}class hm{constructor(e,t){this.lastProcessedMessageID=null,this.messageAbortControllers=new Map,this.pendingLocale=!1,this.localeIsExplicit=!1,this.serviceManager=e,this.messageLoadingManager=new lm,this.inboundStreaming=new pm(this.messageAbortControllers,()=>this.moveToNextQueueItem()),this.outboundCoordinator=new um(this.serviceManager,this.messageLoadingManager,(e,t)=>this.setMessageErrorState(e,t),()=>this.queue.current,()=>this.moveToNextQueueItem(),(e,t)=>this.processSuccess(e,t)),this.queue={waiting:[],current:null};const o=t.messaging?.messageTimeoutSecs;this.timeoutMS=o||0===o?1e3*o:15e4}async processSuccess(e,t){const{isProcessed:o}=e;if(o)return;this.setMessageErrorState(e,q.NONE);const{message:r}=e;t&&(r.input.message_type!==S.EVENT&&(t.history=t.history||{},t.history.timestamp=t.history.timestamp||Date.now(),e.trackData.lastRequestTime=Date.now()-e.timeLastRequest,e.trackData.totalRequestTime=Date.now()-e.timeFirstRequest,await this.serviceManager.actions.receive(t,Boolean(e.message.history.is_welcome_request),r)),this.messageLoadingManager.end()),e.isProcessed||(e.sendMessagePromise.doResolve(),e.isProcessed=!0,this.lastProcessedMessageID=e.message.id,e.isStreaming||this.moveToNextQueueItem())}async sendToAssistant(e,t){const o=this.serviceManager.store.getState(),{customSendMessage:r}=o.config.public.messaging;await this.outboundCoordinator.send(e,r,t)}async runQueueIfReady(){if(this.queue.current||0===this.queue.waiting.length)return;this.clearCurrentQueueItem(),this.queue.current=this.queue.waiting.shift();const{current:e}=this.queue,{message:t}=e;if(e.timeFirstRequest=Date.now(),t.input.message_type===S.EVENT)return void this.sendToAssistant(e,null);const{startLoading:o,originalUserText:r}=this.prepareCurrentRequest(e);e.isProcessed||(await this.firePreSendEvent(e),e.isProcessed||(this.commitOutgoingMessage(e,r),await this.fireSendEvent(e),this.sendToAssistant(e,o)))}prepareCurrentRequest(e){const{store:t}=this.serviceManager,o=t.getState(),{public:r}=o.config,{message:n}=e;Vu(o)&&(n.thread_id=fu);const s=r.messaging?.messageLoadingIndicatorTimeoutSecs||0===r.messaging?.messageLoadingIndicatorTimeoutSecs?1e3*r.messaging.messageLoadingIndicatorTimeoutSecs:4e3;return{startLoading:this.buildStartLoading(n,s),originalUserText:n.history?.label||n.input.text}}async firePreSendEvent(e){const{message:t,source:o}=e;await this.serviceManager.eventBus.fire({type:d.PRE_SEND,data:t,source:o},this.serviceManager.instance)}commitOutgoingMessage(e,t){const{message:o}=e,r=lu(o,t,e.localMessageID);o.history.silent||(this.serviceManager.store.dispatch(Hh.updateLocalMessageItem(r)),this.serviceManager.store.dispatch(Hh.updateMessage(o))),kf(o)}async fireSendEvent(e){const{message:t,source:o}=e;await this.serviceManager.eventBus.fire({type:d.SEND,data:t,source:o},this.serviceManager.instance)}addToMessageQueue(e,t,o,r,n={}){const s=new AbortController;this.messageAbortControllers.set(e.id,s);const a={localMessageID:o,message:e,sendMessagePromise:r,requestOptions:n||{},timeFirstRequest:0,timeLastRequest:0,trackData:{numErrors:0,lastRequestTime:0,totalRequestTime:0},isProcessed:!1,source:t,sendMessageController:s};this.queue.waiting.push(a)}clearCurrentQueueItem(){this.queue.current&&(this.queue.current=null)}buildStartLoading(e,t){const o=t||0;return o||this.timeoutMS?()=>this.messageLoadingManager.start(()=>{this.serviceManager.store.dispatch(Hh.addIsLoadingCounter(1))},e=>{e&&this.serviceManager.store.dispatch(Hh.addIsLoadingCounter(-1))},()=>{this.cancelMessageRequestByID(e.id,!0,m.TIMEOUT)},o,this.timeoutMS):null}moveToNextQueueItem(){this.clearCurrentQueueItem(),this.runQueueIfReady()}setMessageErrorState(e,t){const{message:o}=e,{allMessagesByID:r}=this.serviceManager.store.getState(),n=r[o.id];if(n){const r=n.history?.error_state;if(!(r===t||t===q.NONE&&!r)){let r;if(t===q.FAILED)r="errors_ariaMessageFailed";r&&this.serviceManager.store.dispatch(Hh.announceMessage({messageID:r})),this.serviceManager.store.dispatch(Hh.setMessageErrorState(o.id,t));const{allMessagesByID:n}=this.serviceManager.store.getState();e.message=n[o.id]}}}send(e,t,o,r){e.history.timestamp=e.history.timestamp||Date.now(),e.input=e.input||{},e.input.message_type=e.input.message_type||S.TEXT;const n=em();return this.addToMessageQueue(e,t,o,n,r),this.runQueueIfReady(),n}async cancelAllMessageRequests(e=m.CONVERSATION_RESTARTED){for(;this.queue.waiting.length;)await this.cancelMessageRequestByID(this.queue.waiting[0].message.id,!1,e);this.queue.current&&(await this.cancelMessageRequestByID(this.queue.current.message.id,!1,e),this.clearCurrentQueueItem())}markCurrentMessageAsStreaming(e,t){this.inboundStreaming.markStreaming(this.queue.current,e,t,this.lastProcessedMessageID)}finalizeStreamingMessage(e){this.inboundStreaming.finalizeStreamingMessage(e)}async cancelCurrentMessageRequest(e=m.STOP_STREAMING){this.inboundStreaming.streamingMessageID?await this.cancelMessageRequestByID(this.inboundStreaming.streamingMessageID,!1,e):this.queue.current&&(await this.cancelMessageRequestByID(this.queue.current.message.id,!1,e),this.clearCurrentQueueItem())}findPendingRequestForCancellation(e,t){if(this.queue.current?.message.id===e||t&&this.queue.current?.message.id===t.requestId)return this.queue.current;if(this.queue.current?.isStreaming&&this.inboundStreaming.streamingMessageID)return this.queue.current;const o=this.queue.waiting.findIndex(t=>t.message.id===e);if(-1!==o){const[e]=this.queue.waiting.splice(o,1);return e}}findAbortControllerForCancellation(e,t,o){return this.messageAbortControllers.get(e)||(t?.requestId?this.messageAbortControllers.get(t.requestId):void 0)||(o?this.messageAbortControllers.get(o.message.id):void 0)||t?.controller}async handleCancellationResolution(e,t,o,r,n){if(!t&&!o)return;const{lastResponse:s}=t||{},a=o||t?.sendMessageController;a?.abort(n),this.inboundStreaming.clearStreamingResponse(e),t&&(n===m.TIMEOUT?(this.outboundCoordinator.rejectFinalErrorOnMessage(t,n),r&&this.serviceManager.actions.errorOccurred({errorType:k.MESSAGE_COMMUNICATION,message:n,otherData:await W(s)})):this.outboundCoordinator.resolveCancelledMessage(t))}async cancelMessageRequestByID(e,t,o="Message was cancelled"){const r=this.inboundStreaming.resolveResponseId(e),n=this.inboundStreaming.getStreamingMeta(r),s=this.inboundStreaming.streamingMessageID===r,a=this.findPendingRequestForCancellation(r,n),i=this.findAbortControllerForCancellation(r,n,a);await this.handleCancellationResolution(r,a,i,t,o),!a&&s&&this.moveToNextQueueItem()}}class fm{constructor(e){this.originalName=e,this.attributeSafe=e,this.suffix=function(e){const t=function(e){return e?e.trim():""}(e);return t?.length?`--${e}`:""}(e)}}class mm{constructor(){this.userDefinedElementRegistry=new Map,this.restartCount=0}async fire(e){return this.eventBus.fire(e,this.instance)}}function vm(e){const t=e.trim().toLowerCase();if(t.startsWith("#"))return function(e){if(!e.startsWith("#")||!/^#[0-9a-fA-F]+$/.test(e))return[0,0,0];if(7===e.length){const t=e.substring(1,3),o=e.substring(3,5),r=e.substring(5,7);return[parseInt(t,16),parseInt(o,16),parseInt(r,16)]}if(4===e.length){const t=e.substring(1,2),o=e.substring(2,3),r=e.substring(3,4);return[parseInt(t+t,16),parseInt(o+o,16),parseInt(r+r,16)]}return[0,0,0]}(t);const o=t.match(/rgba?\(\s*(\d+)\s*,\s*(\d+)\s*,\s*(\d+)\s*(?:,\s*[\d.]+)?\s*\)/);if(o)return[parseInt(o[1],10),parseInt(o[2],10),parseInt(o[3],10)];const r=t.match(/hsla?\(\s*(\d+)\s*,\s*(\d+)%\s*,\s*(\d+)%\s*(?:,\s*[\d.]+)?\s*\)/);if(r){return function(e,t,o){let r,n,s;if(0===t)r=n=s=o;else{const a=(e,t,o)=>(o<0&&(o+=1),o>1&&(o-=1),o<1/6?e+6*(t-e)*o:o<.5?t:o<2/3?e+(t-e)*(2/3-o)*6:e),i=o<.5?o*(1+t):o+t-o*t,c=2*o-i;r=a(c,i,e+1/3),n=a(c,i,e),s=a(c,i,e-1/3)}return[Math.round(255*r),Math.round(255*n),Math.round(255*s)]}(parseInt(r[1],10)/360,parseInt(r[2],10)/100,parseInt(r[3],10)/100)}return[0,0,0]}async function gm(e,t){const r=G(await o.e(96).then(o.t.bind(o,7362,19))),n=r(e).hsl().object();return r({...n,l:n.l+t}).round().hex().toLowerCase()}var bm;!function(e){e.WHITE="#ffffff",e.G10="#f4f4f4",e.G90="#282828",e.G100="#171717"}(bm||(bm={}));class Om{constructor(e,t=document.documentElement){this.observer=null,this.pollInterval=null,this.isWatching=!1,this.originalTheme=null,this.lastBgColor=null,this.store=e,this.parentElement=t}startWatching(){if(this.isWatching)return;if(null!==this.store.getState().config.derived.themeWithDefaults.originalCarbonTheme)return;this.isWatching=!0,this.checkAndUpdateTheme(),this.observer=new MutationObserver(()=>{this.checkAndUpdateTheme()}),this.observer.observe(document.documentElement,{attributes:!0,attributeFilter:["style","class"],subtree:!1,childList:!1});document.querySelectorAll('head style, head link[rel="stylesheet"]').forEach(e=>{this.observer?.observe(e,{attributes:!0,childList:!0,characterData:!0})}),this.startPolling()}startPolling(){this.pollInterval=window.setInterval(()=>{this.checkAndUpdateTheme()},1e3)}stopPolling(){null!==this.pollInterval&&(clearInterval(this.pollInterval),this.pollInterval=null)}stopWatching(){this.isWatching&&(this.isWatching=!1,this.observer&&(this.observer.disconnect(),this.observer=null),this.stopPolling(),this.lastBgColor=null)}getBackgroundColor(e){let t=e;for(;t;)if(t instanceof ShadowRoot)t=t.host;else{if(!(t instanceof Element))break;{const e=getComputedStyle(t).backgroundColor;if(e&&"rgba(0, 0, 0, 0)"!==e&&"transparent"!==e)return e;t=t.parentElement}}return bm.WHITE}checkAndUpdateTheme(){try{const e=this.store.getState(),t=e.config.derived.themeWithDefaults.derivedCarbonTheme;if(this.originalTheme&&e.config.derived.themeWithDefaults.originalCarbonTheme)return;const o=function(e,t=document.documentElement){try{return getComputedStyle(t).getPropertyValue(e).trim()||null}catch(e){return null}}("--cds-background",this.parentElement)||this.getBackgroundColor(this.parentElement);if(o===this.lastBgColor)return;let r;if(this.lastBgColor=o,o===bm.WHITE)r=y.WHITE;else if(o===bm.G10)r=y.G10;else if(o===bm.G90)r=y.G90;else if(o===bm.G100)r=y.G100;else{r=function(e,t=50){try{let o=e.trim();if(o.startsWith("var(")){const e=getComputedStyle(document.documentElement),t=o.match(/var\(([^)]+)\)/)?.[1];t&&(o=e.getPropertyValue(t).trim())}if(!o||""===o||"var(--cds-aichat-shell-background)"===o)return!1;const r=function([e,t,o]){const r=e/255,n=t/255,s=o/255;return.2126*(r<=.03928?r/12.92:((r+.055)/1.055)**2.4)+.7152*(n<=.03928?n/12.92:((n+.055)/1.055)**2.4)+.0722*(s<=.03928?s/12.92:((s+.055)/1.055)**2.4)}(vm(o));return 100*Math.sqrt(r)>t}catch(e){return!1}}(o,50)?y.WHITE:y.G90}t!==r&&this.updateTheme(r)}catch(e){}}updateTheme(e){const t={...this.store.getState().config.derived.themeWithDefaults,derivedCarbonTheme:e};this.store.dispatch({type:Bh,themeState:t})}onThemeChange(e){null===e?this.startWatching():this.stopWatching()}forceCheck(){this.checkAndUpdateTheme()}}let ym={};const km={getItem(e){return ym[e]},setItem(e,t){ym[e]=t},removeItem(e){delete ym[e]},length:Object.keys(ym).length,clear(){ym={}},key(e){return Object.keys(ym)[e]}},xm=tu()?window.sessionStorage:km;class _m{constructor(e){this.serviceManager=e,this.prefix=`CARBON_CHAT_SESSION${this.serviceManager?.namespace?.suffix||""}`}loadSession(){try{const e=xm.getItem(this.getSessionKey()),t=e?JSON.parse(e):null;return t?.version===Of?(t.wasLoadedFromBrowser=!0,t.launcherIsExpanded=!1,t):(this.clearSession(),null)}catch(e){return this.clearSession(),null}}persistSession(e){try{xm.setItem(this.getSessionKey(),JSON.stringify(e))}catch(e){}}clearSession(){try{xm.removeItem(this.getSessionKey())}catch(e){}}getSessionKey(){return this.prefix}}var wm;!function(e){e.WHITE="cds--white",e.G10="cds--g10",e.G90="cds--g90",e.G100="cds--g100"}(wm||(wm={}));const $m="--cds-",Sm="aichat-",Qm=/#([a-f0-9]{3}){1,2}\b/i;const zm={white:{blue20:["$highlight"],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$icon-interactive","$focus"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$button-tertiary-active"]},g10:{blue20:["$highlight"],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$icon-interactive","$focus"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$button-tertiary-active"]},g90:{blue20:[],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$focus-inverse"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$highlight","$button-tertiary-active"]},g100:{blue20:[],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$focus-inverse"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$highlight","$button-tertiary-active"]}};function Pm(e,t,o){t.forEach(t=>{e[t]=o})}function Tm(e,t,o,r){o=o||y.G10;const n=e=e||{};Object.entries(n).forEach(([e,t])=>{e.startsWith("$")&&!t.match(Qm)&&delete n[e]});const s=async function(e,t){const o={},r=e.quickThemeHex;if(r){if(!t)return o;const e=zm[t],n=await gm(r,40),s=await gm(r,-8),a=await gm(r,-20);Pm(o,e.blue20,n),Pm(o,e.blue60,r),Pm(o,e.blue60Hover,s),Pm(o,e.blue80,a)}return o}(t||{},o);return Object.entries(s).forEach(([t,o])=>{""!==o&&void 0===e[t]&&(n[t]=o)}),n}function Em(e){let t;switch(e?.originalCarbonTheme){case y.WHITE:t=wm.WHITE;break;case y.G10:t=wm.G10;break;case y.G90:t=wm.G90;break;case y.G100:t=wm.G100;break;case null:t="",e?.derivedCarbonTheme===y.G90||e?.derivedCarbonTheme===y.G100?t+="cds-aichat--dark":t+="cds-aichat--light";break;default:t=wm.G10}return e?.aiEnabled&&(t+=" cds-aichat--ai-theme"),t}const Mm={[Jh]:(e,t)=>{const{isConnecting:o,localMessageID:r}=t;return{...e,humanAgentState:{...e.humanAgentState,isConnecting:o,activeLocalMessageID:r,numUnreadMessages:o?0:e.humanAgentState.numUnreadMessages},persistedToBrowserStorage:{...e.persistedToBrowserStorage,humanAgentState:{...e.persistedToBrowserStorage.humanAgentState,isSuspended:!!o&&e.persistedToBrowserStorage.humanAgentState.isSuspended}}}},[ef]:(e,t)=>{const{isReconnecting:o}=t;return{...e,humanAgentState:{...e.humanAgentState,isReconnecting:o}}},[Kh]:(e,t)=>e.humanAgentState.isConnecting?{...e,humanAgentState:{...e.humanAgentState,availability:e.humanAgentState.isConnecting?t.availability:null}}:e,[af]:(e,{showRequest:t})=>({...e,humanAgentState:{...e.humanAgentState,showScreenShareRequest:t}}),[tf]:(e,t)=>{const o={...e.persistedToBrowserStorage.humanAgentState.responseUserProfiles},{responseUserProfile:r}=t;return r&&(o[r.id]=r),{...e,humanAgentState:{...e.humanAgentState,isConnecting:!1,isReconnecting:!1,availability:null},persistedToBrowserStorage:{...e.persistedToBrowserStorage,humanAgentState:{...e.persistedToBrowserStorage.humanAgentState,isConnected:!0,responseUserProfile:r,responseUserProfiles:o}}}},[df]:(e,t)=>({...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,humanAgentState:{...e.persistedToBrowserStorage.humanAgentState,serviceDeskState:t.state}}}),[lf]:(e,t)=>e.humanAgentState.isConnecting||e.persistedToBrowserStorage.humanAgentState.isConnected?{...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,humanAgentState:{...e.persistedToBrowserStorage.humanAgentState,isSuspended:t.isSuspended}}}:e,[pf]:(e,t)=>({...e,humanAgentState:{...e.humanAgentState,isHumanAgentTyping:t.isTyping}}),[of]:e=>({...e,assistantMessageState:{...e.assistantMessageState},humanAgentState:{...e.humanAgentState,isHumanAgentTyping:!1},persistedToBrowserStorage:{...e.persistedToBrowserStorage,humanAgentState:{...e.persistedToBrowserStorage.humanAgentState,responseUserProfile:null}}}),[nf]:(e,t)=>{const o={...e.humanAgentState.inputState,...t.capabilities};return o.allowFileUploads||(o.files=[]),{...e,humanAgentState:{...e.humanAgentState,inputState:o}}},[cf]:(e,{isSharing:t})=>({...e,humanAgentState:{...e.humanAgentState,isScreenSharing:t}}),[sf]:(e,t)=>({...e,humanAgentState:{...e.humanAgentState,fileUploadInProgress:t.fileUploadInProgress}}),[rf]:e=>{let t=Yf(e,e.humanAgentState.activeLocalMessageID,"wasHumanAgentChatEnded",!0);return t={...t,humanAgentState:{...t.humanAgentState,isConnecting:!1,isReconnecting:!1,availability:null,activeLocalMessageID:null,isHumanAgentTyping:!1,inputState:{...t.humanAgentState.inputState,isReadonly:!1}},persistedToBrowserStorage:{...e.persistedToBrowserStorage,humanAgentState:{...e.persistedToBrowserStorage.humanAgentState,isConnected:!1,isSuspended:!1,responseUserProfile:null}}},t}},Cm=new Set([P.USER_ENDED_CHAT,P.CHAT_WAS_ENDED,P.RELOAD_WARNING]),Rm={[Bu]:(e,t)=>{const{partialState:o}=t;if(!o)return e;if(Object.is(o,e))return e;const{config:r,...n}=o,s=Ar({},e,n);return void 0!==r&&(r&&Object.prototype.hasOwnProperty.call(r,"public")?s.config=r:s.config=r?Ar({},s.config,r):r),s},[Fu]:e=>({...e,isHydrated:!0}),[vh]:e=>{let t={...e,assistantMessageState:{...e.assistantMessageState,localMessageIDs:[],messageIDs:[],isScrollAnchored:!1,activeResponseId:null},allMessageItemsByID:{},allMessagesByID:{},iFramePanelState:{...Pf},viewSourcePanelState:{...Tf},customPanelState:{...Qf},workspacePanelState:{...zf},isHydrated:!1,catastrophicErrorType:null};return t.config.public.homescreen?.isOn&&(t=Zf(t,!0)),t},[Gu]:(e,t)=>{const o={...e,...t.messageHistory},r=o.assistantMessageState.messageIDs;return{...o,assistantMessageState:{...o.assistantMessageState,activeResponseId:r.length?r[r.length-1]:null}}},[Hu]:(e,t)=>{const{messageItem:o,message:r,addMessage:n,addAfterID:s}=t,{id:a}=o.ui_state,i=r.history.silent;let c=e;n&&(c=Uf(c,r));const d=c.assistantMessageState.localMessageIDs.findIndex(e=>e===a),l=[...c.assistantMessageState.localMessageIDs];let p=d;if(-1!==d?l.splice(d,1):p=l.length,s){const e=l.findIndex(e=>e===s);-1!==e&&(p=e+1)}if(l.splice(p,0,a),!i){c={...c,allMessageItemsByID:{...c.allMessageItemsByID,[a]:o},assistantMessageState:{...c.assistantMessageState,localMessageIDs:l}},c.persistedToBrowserStorage.homeScreenState.isHomeScreenOpen&&(c=Zf(c,!1));const t=!o.item.agent_message_type,n=e.persistedToBrowserStorage.viewState.mainWindow;if(!(t||n&&e.isBrowserPageVisible)){!gu(r)&&!Cm.has(o.item.agent_message_type)&&(c={...c,humanAgentState:{...c.humanAgentState,numUnreadMessages:c.humanAgentState.numUnreadMessages+1}})}}return c},[Ku]:(e,{messageIDs:t})=>{const o=new Set(t),r={...e.allMessagesByID},n={...e.allMessageItemsByID},s=e.assistantMessageState.messageIDs.filter(e=>!o.has(e)),a=e.assistantMessageState.localMessageIDs.filter(e=>{const t=n[e],r=o.has(t?.fullMessageID);return r&&delete n[e],!r});t.forEach(e=>{delete r[e]});return{...e,allMessagesByID:r,allMessageItemsByID:n,assistantMessageState:{...e.assistantMessageState,messageIDs:s,localMessageIDs:a,activeResponseId:s.length?s[s.length-1]:null}}},[Ju]:(e,t)=>{const{messageItem:o}=t;return{...e,allMessageItemsByID:{...e.allMessageItemsByID,[o.ui_state.id]:o}}},[xh]:(e,t)=>{const{message:o}=t;return{...e,allMessagesByID:{...e.allMessagesByID,[o.id]:o}}},[bh]:(e,t)=>{const{message:o}=t,r=o.id;let n=e;if(mu(o)){const t=[];o.output.generic.forEach(e=>{const o=Du(r,e);o&&t.push(o)});const s={...e.allMessageItemsByID},a=[];let i;const c=e.assistantMessageState.localMessageIDs.filter((o,n)=>{const c=e.allMessageItemsByID[o].fullMessageID===r;return c&&(void 0===i&&(i=n),t.includes(o)?a.push(o):delete s[o]),!c});if(a.length){const e=t.filter(e=>a.includes(e));e.length&&c.splice(i,0,...e)}n={...n,allMessageItemsByID:s,assistantMessageState:{...n.assistantMessageState,localMessageIDs:c}}}return Uf(n,o)},[ch]:(e,t)=>{const o={...e.allMessageItemsByID};return o[t.messageID]={...e.allMessageItemsByID[t.messageID],ui_state:{...e.allMessageItemsByID[t.messageID].ui_state,optionSelected:t.sentMessage}},{...e,allMessageItemsByID:o}},[oh]:e=>({...e,assistantMessageState:{...e.assistantMessageState,isMessageLoadingCounter:0,isMessageLoadingText:void 0}}),[th]:(e,t)=>{const o=Math.max(e.assistantMessageState.isMessageLoadingCounter+t.addToIsLoading,0);return{...e,assistantMessageState:{...e.assistantMessageState,isMessageLoadingCounter:o,isMessageLoadingText:o>0&&t.message?t.message:void 0}}},[nh]:e=>({...e,assistantMessageState:{...e.assistantMessageState,isHydratingCounter:0}}),[rh]:(e,t)=>({...e,assistantMessageState:{...e.assistantMessageState,isHydratingCounter:Math.max(e.assistantMessageState.isHydratingCounter+t.addToIsHydrating,0)}}),[eh]:(e,t)=>({...e,[t.key]:t.value}),[yh]:(e,t)=>({...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,...t.chatState}}),[Oh]:(e,t)=>e.persistedToBrowserStorage.hasSentNonWelcomeMessage===t.hasSentNonWelcomeMessage?e:{...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,hasSentNonWelcomeMessage:t.hasSentNonWelcomeMessage}},[Fh]:(e,t)=>({...e,isRestarting:t.isRestarting}),[sh]:(e,t)=>function(e,t){let{showUnreadIndicator:o}=e.persistedToBrowserStorage,r=e.humanAgentState;return t.mainWindow&&e.isBrowserPageVisible&&(0!==r.numUnreadMessages&&(r={...r,numUnreadMessages:0}),o=!1),{...e,humanAgentState:r,announceMessage:(n=e,s=t,Io(n.persistedToBrowserStorage.viewState,s)?n.announceMessage:{messageID:s.mainWindow?"window_ariaWindowOpened":"window_ariaWindowClosed"}),persistedToBrowserStorage:{...e.persistedToBrowserStorage,viewState:t,showUnreadIndicator:o}};var n,s}(e,t.viewState),[ah]:(e,t)=>({...e,viewChanging:t.viewChanging}),[ih]:(e,t)=>({...e,initialViewChangeComplete:t.changeComplete}),[dh]:(e,t)=>Yf(e,t.localMessageID,t.propertyName,t.propertyValue),[ph]:(e,t)=>{const{messageID:o,propertyName:r,propertyValue:n}=t,s=e.allMessagesByID[o];return s?{...e,allMessagesByID:{...e.allMessagesByID,[o]:{...s,history:{...s.history,[r]:n}}}}:e},[lh]:(e,t)=>{const{messageID:o,propertyName:r,propertyValue:n}=t,s=e.allMessagesByID[o];return s?{...e,allMessagesByID:{...e.allMessagesByID,[o]:{...s,ui_state_internal:{...s.ui_state_internal,[r]:n}}}}:e},[uh]:(e,t)=>{const o=e.allMessagesByID[t.messageID];return o?{...e,allMessagesByID:{...e.allMessagesByID,[t.messageID]:{...o,history:Ar({},o.history,t.history)}}}:e},[fh]:(e,t)=>({...e,announceMessage:t.message}),[gh]:e=>({...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,disclaimersAccepted:{...e.persistedToBrowserStorage.disclaimersAccepted,[Wp()?window.location.hostname:"localhost"]:!0}}}),[kh]:(e,{isOpen:t})=>Zf(e,t),[Eh]:e=>Zf(e,!e.persistedToBrowserStorage.homeScreenState.isHomeScreenOpen,!0),[hh]:(e,t)=>({...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,[t.propertyName]:t.propertyValue}}),[mh]:(e,t)=>Vf(e,{[t.propertyName]:t.propertyValue}),[_h]:e=>({...e,persistedToBrowserStorage:{...e.persistedToBrowserStorage,launcherIsExpanded:!1}}),[$h]:(e,{messageItem:t})=>({...e,iFramePanelState:{...e.iFramePanelState,messageItem:t,isOpen:!0},announceMessage:{messageID:"iframe_ariaOpenedPanel"}}),[wh]:e=>({...e,iFramePanelState:{...e.iFramePanelState,isOpen:!1},announceMessage:{messageID:"iframe_ariaClosedPanel"}}),[Sh]:(e,t)=>({...e,viewSourcePanelState:{...e.viewSourcePanelState,citationItem:t.citationItem,relatedSearchResult:t.relatedSearchResult,isOpen:t.isOpen}}),[Ph]:(e,t)=>({...e,customPanelState:{...e.customPanelState,isOpen:t.isOpen}}),[Qh]:(e,t)=>({...e,customPanelState:{...e.customPanelState,options:t.options}}),[Th]:(e,t)=>({...e,workspacePanelState:{...e.workspacePanelState,isOpen:t.isOpen}}),[zh]:(e,t)=>({...e,workspacePanelState:{...e.workspacePanelState,options:{...e.workspacePanelState.options??{},...t.options}}}),[Mh]:(e,t)=>Am(e,{...Xm(e,t.isInputToHumanAgent),...t.newState},t.isInputToHumanAgent),[Ch]:(e,t)=>{const o=e.persistedToBrowserStorage.viewState.mainWindow&&t.isVisible?0:e.humanAgentState.numUnreadMessages;return{...e,isBrowserPageVisible:t.isVisible,humanAgentState:{...e.humanAgentState,numUnreadMessages:o}}},[Rh]:(e,{file:t,isInputToHumanAgent:o})=>{const r=Xm(e,o);return Am(e,{...r,files:[...r.files,t]},o)},[Xh]:(e,{fileID:t,isInputToHumanAgent:o})=>{const r=Xm(e,o),n=[...r.files],s=n.findIndex(e=>e.id===t);return-1!==s&&n.splice(s,1),Am(e,{...r,files:n},o)},[qh]:(e,{localMessageItemID:t})=>{const o=e.assistantMessageState.localMessageIDs.filter(e=>e!==t),r={...e.allMessageItemsByID};return r[t]&&delete r[t],{...e,allMessageItemsByID:r,assistantMessageState:{...e.assistantMessageState,localMessageIDs:o}}},[Ah]:(e,{isInputToHumanAgent:t})=>Am(e,{...Xm(e,t),files:[]},t),[Ih]:(e,{fileID:t,errorMessage:o,isInputToHumanAgent:r})=>{const n=Xm(e,r),s=[...n.files],a=s.findIndex(e=>e.id===t);return-1!==a&&(s[a]={...s[a],isError:!0,errorMessage:o,status:x.COMPLETE}),Am(e,{...n,files:s},r)},[Nh]:(e,{localMessageItems:t})=>{const o={...e.allMessageItemsByID};return t.forEach(e=>{o[e.ui_state.id]=e}),{...e,allMessageItemsByID:o}},[Dh]:(e,{isOpen:t})=>({...e,responsePanelState:{...e.responsePanelState,isOpen:t}}),[Lh]:(e,{localMessageItem:t,isMessageForInput:o})=>({...e,responsePanelState:{...e.responsePanelState,localMessageItem:t,isMessageForInput:o}}),[Zh]:(e,{messageID:t})=>Uf(e,{id:t,output:{generic:[]},history:{timestamp:Date.now()}}),[Yh]:(e,{messageID:t,message_options:o})=>{const r=e.allMessagesByID[t],n=Ar({},r,{message_options:o});return r?{...e,allMessagesByID:{...e.allMessagesByID,[t]:n}}:e},[Vh]:(e,{chunkItem:t,fullMessageID:o,isCompleteItem:r})=>{const n=e.allMessagesByID[o],s=Du(o,t),a=e.allMessageItemsByID[s];let i,{localMessageIDs:c}=e.assistantMessageState;if(a)if(r){const e={...a.item,...t};i={...a,item:e,ui_state:{...a.ui_state,isIntermediateStreaming:!1,streamingState:{chunks:[],isDone:!0}}}}else{const e=[...a?.ui_state.streamingState?.chunks||[],t];i={...a,ui_state:{...a?.ui_state,streamingState:{...a?.ui_state.streamingState,chunks:e}}}}else if(i=Zu(t,n,!1),i.ui_state.needsAnnouncement=!1,i.ui_state.isIntermediateStreaming=!0,i.ui_state.streamingState=r?{chunks:[],isDone:!0}:{chunks:[t],isDone:!1},c=[...c,s],!i.item.response_type)throw new Error(`New chunk item does not have a response_type: ${JSON.stringify(t)}`);return{...e,allMessageItemsByID:{...e.allMessageItemsByID,[s]:i},assistantMessageState:{...e.assistantMessageState,localMessageIDs:c}}},[Uh]:(e,{isVisible:t})=>({...e,assistantInputState:{...e.assistantInputState,stopStreamingButtonState:{...e.assistantInputState.stopStreamingButtonState,isVisible:t}}}),[jh]:(e,{isDisabled:t})=>({...e,assistantInputState:{...e.assistantInputState,stopStreamingButtonState:{...e.assistantInputState.stopStreamingButtonState,isDisabled:t}}}),[Wh]:(e,{currentStreamID:t})=>({...e,assistantInputState:{...e.assistantInputState,stopStreamingButtonState:{...e.assistantInputState.stopStreamingButtonState,currentStreamID:t}}}),[Gh]:(e,{activeResponseId:t})=>({...e,assistantMessageState:{...e.assistantMessageState,activeResponseId:t}}),[Bh]:(e,{themeState:t})=>({...e,config:{...e.config,derived:{...e.config.derived,themeWithDefaults:t}}})};function Am(e,t,o){return o?{...e,humanAgentState:{...e.humanAgentState,inputState:t}}:{...e,assistantInputState:t}}function Xm(e,t){return t?e.humanAgentState.inputState:e.assistantInputState}function qm(e,t){if(Object.is(e,t))return!0;if("object"!=typeof e||null===e||"object"!=typeof t||null===t)return!1;const o=e,r=t,n=Object.keys(o),s=Object.keys(r);if(n.length!==s.length)return!1;for(const e of n){if(!Object.prototype.hasOwnProperty.call(r,e))return!1;if(!Object.is(o[e],r[e]))return!1}return!0}function Im(e,...t){return pn(e,...t,(e,t)=>void 0===t?e:Array.isArray(e)&&Array.isArray(t)?t.slice():void 0)}function Nm(e){const t={originalCarbonTheme:e.injectCarbonTheme??Df.originalCarbonTheme,derivedCarbonTheme:e.injectCarbonTheme??Df.derivedCarbonTheme,aiEnabled:e.aiEnabled??Df.aiEnabled,corners:Lm(e)},o=Tm(e.layout?.customProperties||{},{},t.derivedCarbonTheme),r=Im({},{header:xf,languagePack:b,layout:Lf,launcher:_f},{header:e.header,languagePack:e.strings,layout:e.layout,launcher:e.launcher});return{public:e,derived:{cssVariableOverrides:o,themeWithDefaults:t,header:r.header,languagePack:r.languagePack,layout:r.layout,launcher:r.launcher}}}function Dm(e,t){const o=Nm(e),r=function(e){const t=e.public.input,o={...Af},r=ln(Xf);return"boolean"==typeof t?.isVisible&&(o.fieldVisible=t.isVisible),"boolean"==typeof t?.isDisabled?o.isReadonly=t.isDisabled:"boolean"==typeof e.public.isReadonly&&(o.isReadonly=e.public.isReadonly),{config:e,...Nf,suspendScrollDetection:!1,showNonHeaderBackgroundCover:!1,isRestarting:!1,isBrowserPageVisible:!0,assistantInputState:o,chatWidthBreakpoint:null,chatWidth:null,chatHeight:null,isHydrated:!1,viewChanging:!1,initialViewChangeComplete:!1,targetViewState:e.public.openChatByDefault?Rf:Cf,persistedToBrowserStorage:r,humanAgentState:qf,iFramePanelState:Pf,viewSourcePanelState:Tf,customPanelState:Qf,workspacePanelState:zf,responsePanelState:Ef}}(o),n=t.userSessionStorageService?.loadSession();return n&&(r.targetViewState=n.viewState,n.viewState=Mf,r.persistedToBrowserStorage={...r.persistedToBrowserStorage,...n,launcherShouldStartCallToActionCounterIfEnabled:!1,disclaimersAccepted:{...r.persistedToBrowserStorage.disclaimersAccepted,...n?.disclaimersAccepted},homeScreenState:{...r.persistedToBrowserStorage.homeScreenState,...n?.homeScreenState},humanAgentState:{...r.persistedToBrowserStorage.humanAgentState,...n?.humanAgentState,responseUserProfiles:{...r.persistedToBrowserStorage.humanAgentState.responseUserProfiles,...n?.humanAgentState?.responseUserProfiles}}}),"boolean"==typeof o.public.launcher?.showUnreadIndicator&&(r.persistedToBrowserStorage.showUnreadIndicator=o.public.launcher.showUnreadIndicator),function(e,t){let o=t;const r=new Set;return{getState:()=>o,dispatch:t=>{const n=o;j()&&t.type;const s=e(n,t);if(s!==n){if(j()){const e=n,t=s,o=new Set([...Object.keys(e??{}),...Object.keys(t??{})]),a=[];for(const r of o)Object.is(e?.[r],t?.[r])||a.push(r);r.size}o=s,r.forEach(e=>{try{e()}catch{}})}return t},subscribe:e=>(r.add(e),()=>{r.delete(e)})}}(Vm,r)}function Lm(e){return!1===function(e){return Im({},Lf,e.layout??{})}(e).showFrame||Jp||e.layout?.corners===c.SQUARE?c.SQUARE:Df.corners}function Vm(e,t){return t&&Rm[t.type]?Rm[t.type](e,t):e}function Zm(e,t,o){e.intl=function({locale:e,messages:t}){const o=new Map;return{locale:e,messages:t,formatMessage(r,n){const{id:s}=r,a=t[s];if(!a)return s;if(!n&&!a.includes("{"))return a;try{o.has(s)||o.set(s,new hi(a,e));const t=o.get(s).format(n);return Array.isArray(t)?t.join(""):t}catch(e){return a}},formatDate(t,o){try{return new Intl.DateTimeFormat(e,o).format(t)}catch(e){return t.toLocaleDateString()}},formatNumber(t,o){try{return new Intl.NumberFormat(e,o).format(t)}catch(e){return t.toString()}},formatTime(t,o){try{const r={hour:"numeric",minute:"numeric",...o};return new Intl.DateTimeFormat(e,r).format(t)}catch(e){return t.toLocaleTimeString()}}}}({locale:t,messages:o})}function Ym(e){const t=e.public,o=new mm;o.namespace=new fm(t.namespace),o.userSessionStorageService=new _m(o),o.actions=new nm(o),o.eventBus=new sm,o.store=Dm(t,o),o.historyService=new cm(o),o.messageService=new hm(o,t),o.store.subscribe(function(e){let t=e.store.getState().persistedToBrowserStorage;return()=>{const{persistedToBrowserStorage:o}=e.store.getState();t!==o&&(t=o,e.userSessionStorageService.persistSession(o))}}(o)),o.store.subscribe(function(e){let t=e.actions.getPublicChatState();return()=>{const o=e.actions.getPublicChatState();Io(t,o)||(e.eventBus.fireSync({type:d.STATE_CHANGE,previousState:t,newState:o},e.instance),t=o)}}(o));let r=o.store.getState().config.derived.themeWithDefaults.originalCarbonTheme;return o.store.subscribe(()=>{const e=o.store.getState().config.derived.themeWithDefaults.originalCarbonTheme;e!==r&&(o.themeWatcherService.onThemeChange(e),r=e)}),o.customPanelManager=function(e){const t={[D]:dm(a.DEFAULT,e,Sf[a.DEFAULT]),[L]:dm(a.WORKSPACE,e,Sf[a.WORKSPACE])},o={[a.DEFAULT]:D,[a.WORKSPACE]:L};return Object.freeze({getPanel(e=a.DEFAULT){return t[o[e]??D]}})}(o),o.themeWatcherService=new Om(o.store,o.container),o.themeWatcherService.onThemeChange(r),Zm(o,o.store.getState().config.public.locale||"en",o.store.getState().config.derived.languagePack),o.writeableElements={},Wp()&&(o.writeableElements={[i.AI_TOOLTIP_AFTER_DESCRIPTION_ELEMENT]:document.createElement("div"),[i.WELCOME_NODE_BEFORE_ELEMENT]:document.createElement("div"),[i.HEADER_BOTTOM_ELEMENT]:document.createElement("div"),[i.BEFORE_INPUT_ELEMENT]:document.createElement("div"),[i.HOME_SCREEN_HEADER_BOTTOM_ELEMENT]:document.createElement("div"),[i.HOME_SCREEN_AFTER_STARTERS_ELEMENT]:document.createElement("div"),[i.HOME_SCREEN_BEFORE_INPUT_ELEMENT]:document.createElement("div"),[i.CUSTOM_PANEL_ELEMENT]:document.createElement("div"),[i.WORKSPACE_PANEL_ELEMENT]:document.createElement("div")}),t.debug&&(U=!0),o}var Um;function jm(e,t){return{localMessages:e,originalMessage:t}}async function Wm(e,t,o,r=!0){const n=function(e,t,o){const r=t?.nickname;let n;switch(e){case P.HUMAN_AGENT_JOINED:n=r?"agent_agentJoinedName":"agent_agentJoinedNoName";break;case P.RELOAD_WARNING:n="agent_youConnectedWarning";break;case P.HUMAN_AGENT_LEFT_CHAT:n=r?"agent_agentLeftChat":"agent_agentLeftChatNoName";break;case P.HUMAN_AGENT_ENDED_CHAT:n=r?"agent_agentEndedChat":"agent_agentEndedChatNoName";break;case P.TRANSFER_TO_HUMAN_AGENT:n=r?"agent_transferring":"agent_transferringNoName";break;case P.USER_ENDED_CHAT:n="agent_youEndedChat";break;case P.CHAT_WAS_ENDED:n="agent_conversationWasEnded";break;case P.DISCONNECTED:n="agent_disconnected";break;case P.RECONNECTED:n="agent_reconnected";break;case P.SHARING_REQUESTED:n="agent_sharingRequested";break;case P.SHARING_ACCEPTED:n="agent_sharingAccepted";break;case P.SHARING_DECLINED:n="agent_sharingDeclined";break;case P.SHARING_CANCELLED:n="agent_sharingCancelled";break;case P.SHARING_ENDED:n="agent_sharingEnded";break;default:return""}return n&&o.formatMessage({id:n},{personName:r})}(e,o,t.intl),s=Bm(e),{originalMessage:a,localMessage:i}=s;return i.item.text=n,o&&(a.message_options=a.message_options||{},a.message_options.response_user_profile=o),r&&await t.fire({type:d.HUMAN_AGENT_PRE_RECEIVE,data:a}),kf(a),r&&await t.fire({type:d.HUMAN_AGENT_RECEIVE,data:a}),s}function Bm(e){const t={response_type:z.TEXT,agent_message_type:e},o=wu(t);return{localMessage:Zu(t,o),originalMessage:o}}async function Fm(e,t,o){t&&await uu(e,async({localMessages:e,originalMessage:t})=>{await uu(e,async(e,r)=>{await o.actions.handleUserDefinedResponseItems(e,t),o.store.dispatch(Hh.addLocalMessageItem(e,t,0===r))})})}async function Gm(e,t,o){const r=function(e){const{agent_assistantReturned:t}=e;if(!t)return null;const{originalMessage:o,localMessage:r}=Bm(null);return r.item.text=t,{originalMessage:o,localMessage:r}}(o.store.getState().config.derived.languagePack);if(r){const a=o.restartCount;n=()=>{a===o.restartCount&&Fm([jm([r.localMessage],r.originalMessage)],!t,o)},(s=e)?setTimeout(n,s):n()}var n,s}async function Hm(e,t,o,r,n){const s=await Wm(e,n,t,o);await Fm([jm([s.localMessage],s.originalMessage)],!r,n)}Object.assign(Rm,Mm),function(e){e.NARROW="narrow",e.STANDARD="standard",e.WIDE="wide"}(Um||(Um={}));const{FROM_USER:Km,RECONNECTED:Jm,DISCONNECTED:ev,HUMAN_AGENT_ENDED_CHAT:tv,HUMAN_AGENT_JOINED:ov,USER_ENDED_CHAT:rv,CHAT_WAS_ENDED:nv,TRANSFER_TO_HUMAN_AGENT:sv,HUMAN_AGENT_LEFT_CHAT:av,RELOAD_WARNING:iv,SHARING_CANCELLED:cv,SHARING_DECLINED:dv,SHARING_ACCEPTED:lv,SHARING_REQUESTED:pv,SHARING_ENDED:uv}=P;class hv{constructor(e){this.hasInitialized=!1,this.chatStarted=!1,this.showingDisconnectedError=!1,this.isHumanAgentTyping=!1,this.uploadingFiles=new Set,this.showLeaveWarning=!0,this.serviceManager=e}getCustomServiceDeskName(){return this.serviceManager.store.getState().config.public.serviceDeskFactory?this.serviceDesk.getName?.():void 0}async initialize(){if(this.serviceDesk)throw new Error("A service desk has already been created!");this.hasInitialized=!0;const{store:e,instance:t}=this.serviceManager,o=e.getState(),{config:r,persistedToBrowserStorage:n}=o,s=ln(n.humanAgentState.serviceDeskState);if(this.serviceDeskCallback=new fv(this.serviceManager,this),r.public.serviceDeskFactory){const e={callback:this.serviceDeskCallback,instance:t,persistedState:s};this.serviceDesk=await r.public.serviceDeskFactory(e),function(e){if(e)if("object"!=typeof e);else{["startChat","endChat","sendMessageToAgent"].forEach(t=>{e[t]});const t=e.getName?.();if(!t)throw Error("The custom service desk does not have a name.");if(t&&("string"!=typeof t||t.length>40))throw new Error(`The custom service desk name "${t}" is not valid.`)}else;}(this.serviceDesk)}this.showLeaveWarning=!this.serviceDesk?.reconnect}async startChat(e,t){if(!this.serviceDesk)throw new Error("A service desk has not been configured.");if(this.serviceManager.store.getState().persistedToBrowserStorage.humanAgentState.isSuspended&&await this.endChat(!0,!0,!1),this.chatStarted)throw new Error("A chat is already running. A call to endChat must be made before a new chat can start.");const{serviceManager:o}=this;try{this.chatStarted=!0,this.isHumanAgentTyping=!1,this.uploadingFiles.clear(),this.serviceManager.store.dispatch(vf(this.uploadingFiles.size>0));const r={type:d.HUMAN_AGENT_PRE_START_CHAT,message:t};if(await o.fire(r),r.cancelStartChat)return this.chatStarted=!1,await this.fireEndChat(!1,!0),void o.store.dispatch(uf(!1,null));const n=o.store.getState().config.public.serviceDesk?.agentJoinTimeoutSeconds;n&&(this.waitingForHumanAgentJoinedTimer=setTimeout(()=>this.handleHumanAgentJoinedTimeout(),1e3*n)),o.store.dispatch(uf(!0,e.ui_state.id)),await this.serviceDesk.startChat(t,{preStartChatPayload:r.preStartChatPayload})}catch(e){throw this.serviceDeskCallback&&await this.serviceDeskCallback.setErrorStatus({type:$.CONNECTING,logInfo:e}),o.store.dispatch(uf(!1,null)),this.chatStarted=!1,this.cancelHumanAgentJoinedTimer(),e}}async firePreEndChat(e){const t={type:d.HUMAN_AGENT_PRE_END_CHAT,endedByHumanAgent:e,preEndChatPayload:null,cancelEndChat:!1};return await this.serviceManager.fire(t),t}async fireEndChat(e,t){await this.serviceManager.fire({type:d.HUMAN_AGENT_END_CHAT,endedByHumanAgent:e,requestCancelled:t})}async endChat(e,t=!0,o=!0){if(!this.chatStarted||!this.serviceDesk)return;const{isConnected:r}=this.persistedHumanAgentState();let n;if(r&&(n=await this.firePreEndChat(!1),n.cancelEndChat))return;const s=e?rv:nv;await this.doEndChat(!1,n?.preEndChatPayload,t,o,s)}async doEndChat(e,t,o,r,n){const{isConnected:s}=this.persistedHumanAgentState(),a=this.isSuspended();this.cancelHumanAgentJoinedTimer(),this.closeScreenShareRequestModal(w.CANCELLED);try{await Y(this.serviceDesk.endChat({endedByHumanAgent:e,preEndChatPayload:t}),5e3)}catch(e){}if(s&&o){const{responseUserProfile:e}=this.persistedHumanAgentState();await Hm(n,e,!0,a,this.serviceManager)}this.chatStarted=!1,this.isHumanAgentTyping=!1,this.serviceManager.store.dispatch(ff()),await this.fireEndChat(e,!s),s&&r&&await Gm(1500,a,this.serviceManager)}async sendMessageToAgent(e,t){if(!this.serviceDesk||!this.chatStarted)return;const{serviceManager:o}=this;kf(t);const r=xu(e);r.input.agent_message_type=Km,await o.fire({type:d.HUMAN_AGENT_PRE_SEND,data:r,files:t});const n=lu(r,r.input.text),s=n.ui_state.id,a=[];n.item.text&&a.push(jm([n],r)),t.forEach(e=>{const t=function(e){return vu({id:e.id,input:{text:e.file.name,message_type:Q.FILE,agent_message_type:P.FROM_USER},history:{file_upload_status:x.UPLOADING}})}(e),o=lu(t,t.input.text,e.id);a.push(jm([o],t)),this.uploadingFiles.add(e.id)}),this.serviceManager.store.dispatch(vf(this.uploadingFiles.size>0)),await Fm(a,!this.isSuspended(),o);let i=!1,c=!1;setTimeout(()=>{i||c||this.setMessageErrorState(n.fullMessageID,q.RETRYING)},3e3),setTimeout(()=>{i||this.setMessageErrorState(n.fullMessageID,q.FAILED)},2e4);const l={filesToUpload:t};try{await this.serviceDesk.sendMessageToAgent(r,s,l),i=!0,this.setMessageErrorState(n.fullMessageID,q.NONE),await o.fire({type:d.HUMAN_AGENT_SEND,data:r,files:t})}catch(e){c=!0,this.setMessageErrorState(n.fullMessageID,q.FAILED)}}filesSelectedForUpload(e){if(this.serviceDesk&&this.chatStarted)try{this.serviceDesk.filesSelectedForUpload?.(e)}catch(e){}}async userReadMessages(){if(this.serviceDesk&&this.chatStarted)try{await this.serviceDesk.userReadMessages()}catch(e){}}async checkAreAnyHumanAgentsOnline(e){let t;const o=this.serviceManager.restartCount;if(this.serviceDesk?.areAnyAgentsOnline)try{const o=this.serviceManager.store.getState().config.public.serviceDesk?.availabilityTimeoutSeconds,r=o?1e3*o:5e3,n=await Y(this.serviceDesk.areAnyAgentsOnline(e),r);t=!0===n?_.ONLINE:!1===n?_.OFFLINE:_.UNKNOWN}catch(e){t=_.OFFLINE}else t=_.UNKNOWN;return o===this.serviceManager.restartCount&&this.serviceManager.fire({type:d.HUMAN_AGENT_ARE_ANY_AGENTS_ONLINE,areAnyAgentsOnline:t}),t}async userTyping(e){if(this.serviceDesk&&this.chatStarted)try{await(this.serviceDesk.userTyping?.(e))}catch(e){}}setMessageErrorState(e,t){this.serviceManager.store.dispatch(Hh.setMessageErrorState(e,t))}async handleHumanAgentJoinedTimeout(){const e=this.serviceManager.store.getState().config.derived.languagePack.errors_noHumanAgentsJoined,{originalMessage:t,localMessage:o}=Yu(e);await Fm([jm([o],t)],!this.isSuspended(),this.serviceManager),this.endChat(!1)}cancelHumanAgentJoinedTimer(){this.waitingForHumanAgentJoinedTimer&&(clearTimeout(this.waitingForHumanAgentJoinedTimer),this.waitingForHumanAgentJoinedTimer=null)}async screenShareUpdateRequestState(e){if(!this.persistedHumanAgentState().isConnected)return;let t;switch(this.closeScreenShareRequestModal(e),e){case w.ACCEPTED:t=lv;break;case w.DECLINED:t=dv;break;case w.CANCELLED:t=cv;break;case w.ENDED:t=uv;break;default:return}await this.addHumanAgentLocalMessage(t)}async screenShareStop(){this.serviceManager.store.dispatch(bf(!1)),await this.addHumanAgentLocalMessage(uv),await(this.serviceDesk?.screenShareStop?.())}async handleHydration(e,t){const{store:o}=this.serviceManager;let r=!1;const{isConnected:n}=this.persistedHumanAgentState();if(n){if(this.chatStarted=!0,e&&this.serviceDesk?.reconnect)try{o.dispatch(hf(!0)),setTimeout(this.serviceManager?.appWindow?.requestFocus),r=await this.serviceDesk.reconnect()}catch(e){}if(o.dispatch(hf(!1)),!this.persistedHumanAgentState().isConnected)return void(this.chatStarted=!1);if(setTimeout(this.serviceManager?.appWindow?.requestFocus),r)this.showLeaveWarning=!1;else{this.chatStarted=!1;const e=this.isSuspended();if(o.dispatch(ff()),t){const{responseUserProfile:t}=this.persistedHumanAgentState();await Hm(P.CHAT_WAS_ENDED,t,!1,e,this.serviceManager),await Gm(0,e,this.serviceManager)}}}}closeScreenShareRequestModal(e){this.serviceManager.store.dispatch(gf(!1)),this.screenShareRequestPromise&&(this.screenShareRequestPromise.doResolve(e),this.screenShareRequestPromise=null),this.serviceManager.store.dispatch(bf(e===w.ACCEPTED))}async addHumanAgentLocalMessage(e,t,o=!0){t||(t=this.persistedHumanAgentState().responseUserProfile);const{localMessage:r,originalMessage:n}=await Wm(e,this.serviceManager,t,o);await Fm([jm([r],n)],!this.isSuspended(),this.serviceManager)}persistedHumanAgentState(){return this.serviceManager.store.getState().persistedToBrowserStorage.humanAgentState}isSuspended(){return this.serviceManager.store.getState().persistedToBrowserStorage.humanAgentState.isSuspended}}class fv{constructor(e,t){this.serviceManager=e,this.service=t}updateCapabilities(e){this.serviceManager.store.dispatch(function(e){return{type:nf,capabilities:e}}(ln(e)))}async updateAgentAvailability(e){this.service.chatStarted&&this.serviceManager.store.dispatch(function(e){return{type:Kh,availability:e}}(e))}async agentJoined(e){this.service.chatStarted&&(this.service.cancelHumanAgentJoinedTimer(),this.serviceManager.store.dispatch(mf(e)),await this.service.addHumanAgentLocalMessage(ov,e),this.service.showLeaveWarning&&(await this.service.addHumanAgentLocalMessage(iv,null,!1),this.service.showLeaveWarning=!1))}async agentReadMessages(){this.service.chatStarted}async agentTyping(e){this.persistedHumanAgentState().isConnected&&e!==this.service.isHumanAgentTyping&&(this.serviceManager.store.dispatch(function(e){return{type:pf,isTyping:e}}(e)),this.service.isHumanAgentTyping=e)}async sendMessageToUser(e,t){if(!this.service.chatStarted||!e)return;const o="string"==typeof e?_u(e):e;vu(o),o.output?.generic?.length&&o.output.generic.forEach(e=>{e.agent_message_type||(e.agent_message_type=P.FROM_HUMAN_AGENT)});const{serviceManager:r}=this;let n;void 0===t?n=this.persistedHumanAgentState().responseUserProfile:(n=this.persistedHumanAgentState().responseUserProfiles[t],n||(n=this.persistedHumanAgentState().responseUserProfile)),await r.fire({type:d.HUMAN_AGENT_PRE_RECEIVE,data:o,responseUserProfile:n}),o.message_options=o.message_options||{},o.message_options.response_user_profile=n;const s=o.output.generic.map(e=>Zu(e,o));await Fm([jm(s,o)],!this.service.isSuspended(),this.serviceManager),await r.fire({type:d.HUMAN_AGENT_RECEIVE,data:o,responseUserProfile:n})}async beginTransferToAnotherAgent(e){this.service.chatStarted&&(e&&this.serviceManager.store.dispatch(mf(e)),await this.service.addHumanAgentLocalMessage(sv,e))}async agentLeftChat(){this.service.chatStarted&&(await this.service.addHumanAgentLocalMessage(av),this.service.isHumanAgentTyping=!1,this.serviceManager.store.dispatch({type:of}))}async agentEndedChat(){if(!this.service.chatStarted)return;const e=await this.service.firePreEndChat(!0);e.cancelEndChat||await this.service.doEndChat(!0,e.preEndChatPayload,!0,!0,tv)}async setErrorStatus(e){if(!this.service.chatStarted)return;const{type:t,logInfo:o}=e,{store:r}=this.serviceManager,{isConnecting:n}=r.getState().humanAgentState;switch(n&&e.type===$.DISCONNECTED&&e.isDisconnected&&(e={type:$.CONNECTING}),e.type){case $.DISCONNECTED:e.isDisconnected?(this.service.showingDisconnectedError=!0,await this.service.addHumanAgentLocalMessage(ev,null,!0),r.dispatch(Hh.updateInputState({isReadonly:!0},!0))):this.service.showingDisconnectedError&&(this.service.showingDisconnectedError=!1,await this.service.addHumanAgentLocalMessage(Jm,null,!0),r.dispatch(Hh.updateInputState({isReadonly:!1},!0)));break;case $.CONNECTING:{const{languagePack:t}=this.serviceManager.store.getState().config.derived,o=e.messageToUser||t.errors_connectingToHumanAgent,{originalMessage:r,localMessage:s}=Yu(o);await Fm([jm([s],r)],!this.service.isSuspended(),this.serviceManager),this.serviceManager.store.dispatch(uf(!1,null)),this.service.chatStarted=!1,this.service.cancelHumanAgentJoinedTimer(),await this.service.fireEndChat(!1,n);break}case $.USER_MESSAGE:this.service.setMessageErrorState(e.messageID,q.FAILED)}}async setFileUploadStatus(e,t,o){const{store:r}=this.serviceManager;if(r.getState().allMessagesByID[e])if(x.COMPLETE,t){if(r.dispatch(Hh.setMessageResponseHistoryProperty(e,"file_upload_status",x.COMPLETE)),r.dispatch(Hh.setMessageResponseHistoryProperty(e,"error_state",q.FAILED)),q.FAILED,o){const{originalMessage:e,localMessage:t}=Yu(o);t.item.agent_message_type=P.INLINE_ERROR,await Fm([jm([t],e)],!this.service.isSuspended(),this.serviceManager)}}else r.dispatch(Hh.setMessageResponseHistoryProperty(e,"file_upload_status",x.SUCCESS)),r.dispatch(Hh.announceMessage({messageID:"fileSharing_ariaAnnounceSuccess"}));else t&&r.dispatch(Hh.fileUploadInputError(e,o,!0));this.service.uploadingFiles.delete(e),this.serviceManager.store.dispatch(vf(this.service.uploadingFiles.size>0))}async screenShareRequest(){return this.persistedHumanAgentState().isConnected?(this.service.screenShareRequestPromise||(this.service.screenShareRequestPromise=em(),this.serviceManager.store.dispatch(gf(!0)),await this.service.addHumanAgentLocalMessage(pv)),this.service.screenShareRequestPromise):Promise.reject(new Error("Cannot request screen sharing if no chat is in progress."))}async screenShareEnded(){const e=this.serviceManager.store.getState().humanAgentState.isScreenSharing,t=this.service.screenShareRequestPromise;this.service.closeScreenShareRequestModal(w.CANCELLED),e?(this.serviceManager.store.dispatch(bf(!1)),await this.service.addHumanAgentLocalMessage(uv)):t&&await this.service.addHumanAgentLocalMessage(cv)}persistedHumanAgentState(){return this.serviceManager.store.getState().persistedToBrowserStorage.humanAgentState}persistedState(){return this.serviceManager.store.getState().persistedToBrowserStorage.humanAgentState.serviceDeskState}updatePersistedState(e,t=!0){const{store:o}=this.serviceManager;let r;r=t?Ar({},o.getState().persistedToBrowserStorage.humanAgentState.serviceDeskState,e):ln(e),o.dispatch(function(e){return{type:df,state:e}}(kf(r)))}}function mv(e){return new hv(e)}const vv={openChatByDefault:!1,shouldTakeFocusIfOpensAutomatically:!0,serviceDesk:{},messaging:{},launcher:{isOn:!0}};function gv(e){return Ar({},vv,e)}async function bv(e){const{publicConfig:t,container:o,customHostElement:r}=e;v.extend(Vo);const n=Ym(Nm(t));n.container=o,n.customHostElement=r,n.customHostElement?(o.style.setProperty("width","100%","important"),o.style.setProperty("height","100%","important")):(o.style.setProperty("width","0","important"),o.style.setProperty("height","0","important"));const a=n.store.getState().config.derived.languagePack,i=await K(n.store.getState().config.public.locale||"en");n.humanAgentService=mv(n),Zm(n,i.name,a),v.locale(i);const c=function({serviceManager:e}){const t={on:o=>(e.eventBus.on(o),t),off:o=>(e.eventBus.off(o),t),once:o=>(e.eventBus.once(o),t),send:async(t,o)=>{if(Kf(e.store.getState()).isReadonly)throw new Error("You are unable to send messages in read only mode.");return e.actions.send(t,p.INSTANCE_SEND,o)},doAutoScroll:(t={})=>{e.mainWindow?.doAutoScroll?.(t)},updateInputFieldVisibility:t=>{e.store.dispatch(Hh.updateInputState({fieldVisible:t},!1))},updateInputIsDisabled:t=>{e.store.dispatch(Hh.updateInputState({isReadonly:t},!1))},updateAssistantUnreadIndicatorVisibility:t=>{e.store.dispatch(Hh.setLauncherProperty("showUnreadIndicator",t))},changeView:async t=>{let o=!1;const r=Object.values(s);"string"==typeof t?r.includes(t)||(r.join(", "),o=!0):"object"==typeof t?Object.keys(t).forEach(e=>{r.includes(e)||(r.join(", "),o=!0)}):o=!0,o||await 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if("decrease"===t){if(o.getState().assistantMessageState.isHydratingCounter<=0)return;o.dispatch(Hh.addIsHydratingCounter(-1))}},messaging:{addMessage:(t,o={})=>(e.messageService.messageLoadingManager.end(),e.actions.receive(t,o?.isLatestWelcomeNode??!1,null)),addMessageChunk:async(t,o={})=>{e.messageService.messageLoadingManager.end();try{await e.actions.receiveChunk(t,null,o)}catch(e){throw e}},removeMessages:async t=>e.actions.removeMessages(t),clearConversation:()=>e.actions.restartConversation({skipHydration:!0,endHumanAgentConversation:!1,fireEvents:!1}),insertHistory:t=>e.actions.insertHistory(t),restartConversation:async()=>e.actions.restartConversation()},requestFocus:()=>{e.appWindow?.requestFocus()},serviceDesk:{endConversation:()=>e.actions.agentEndConversation(!1),updateIsSuspended:async t=>e.actions.agentUpdateIsSuspended(t)},destroySession:async t=>e.actions.destroySession(t)};if(e.store.getState().config.public.exposeServiceManagerForTesting){const{instance:o,...r}=e;t.serviceManager=r}return e.store.getState().config.public.debug,t}({serviceManager:n});return n.instance=c,{serviceManager:n,instance:c}}function Ov({hostElement:e,children:t}){return se.createPortal(t,e)}const yv=ne.memo(function({chatInstance:e,renderUserDefinedResponse:t,userDefinedResponseEventsBySlot:o,chatWrapper:r}){const n=(0,ne.useRef)(new Map);return(0,ne.useEffect)(()=>{(()=>{for(const[e,t]of n.current.entries())e in o||(t.parentNode?t.parentNode.removeChild(t):t.remove?.(),n.current.delete(e))})()},[o]),t?Object.entries(o).map(([o,s])=>{const a=(e=>{let t=n.current.get(e);return t||(t=document.createElement("div"),t.setAttribute("slot",e),r&&(n.current.set(e,t),r.appendChild(t))),t})(o);return ne.createElement(Ov,{key:o,hostElement:a},t(s,e))}):null});function kv({hostElement:e,children:t}){return se.createPortal(t,e)}const 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A(t,o){t&&setTimeout(()=>{e.scrollElementIntoView(o,64,64)})}return(0,ne.useEffect)(()=>{k(!1)},[s.ui_state.id]),function(n,s){if(gu(s))return function(t,o){const r=t.item;if(n=r,n&&"text"===n.response_type&&void 0!==n.text){const n=o.history?.label||r.text,s=t.ui_state.originalUserText||n;return ne.createElement("div",{className:"cds-aichat--sent--text"},o.input.message_type===Q.FILE&&ne.createElement(Cb,{className:"cds-aichat--sent-file-icon","aria-label":e.languagePack.fileSharing_fileIcon}),ne.createElement("div",{role:"heading","aria-level":2},ne.createElement(Xv,{text:s,removeHTML:!0,overrideSanitize:!0})))}var n;return null}(n,s);if(mu(s)){const m=function(t,o){if(Mu(t.item))return R(t,o);const r=t.item.response_type,n=Boolean(o.message_options?.response_user_profile?.user_type===X.HUMAN||t.item.agent_message_type);switch(r){case z.TEXT:return function(t,o,r){if(e.isNestedMessageItem)return C(t,r,o);return ne.createElement("div",null,C(t,r,o))}(t,o,n);case z.IMAGE:return 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ne.createElement(gl,{key:e.title||e.tool_name||t,title:e.title||e.tool_name||"",status:e.status||"success",stepNumber:o,labelText:r,statusSucceededLabelText:i.chainOfThought_statusSucceededLabel,statusFailedLabelText:i.chainOfThought_statusFailedLabel,statusProcessingLabelText:i.chainOfThought_statusProcessingLabel},ne.createElement($l,{toolName:e.tool_name,inputLabelText:i.chainOfThought_inputLabel,outputLabelText:i.chainOfThought_outputLabel,toolLabelText:i.chainOfThought_toolLabel},e.description?ne.createElement("div",{slot:"description"},ne.createElement(Xv,{text:e.description})):null,n?ne.createElement("div",{slot:"input"},ne.createElement(Xv,{text:n})):null,s?ne.createElement("div",{slot:"output"},ne.createElement(Xv,{text:s})):null))})))}(0,s),function(n,s){const a=n.item.message_item_options?.feedback||{},{id:l,is_on:p,show_positive_details:h=!0,show_negative_details:f=!0,show_text_area:m=!0,show_prompt:v=!0,title:y,prompt:k,categories:Q,placeholder:z,disclaimer:E}=a;if(e.isNestedMessageItem||o||!t&&!b||!p)return!1;function C(e){if(l){const t={feedback:{[l]:e}};r.store.dispatch(Hh.mergeMessageHistory(n.fullMessageID,t))}}function R(t){const o=t?!w:!S,a=(t?h:f)&&o;o&&!a?(C({is_positive:t}),M(!0),r.fire({type:d.FEEDBACK,messageItem:n.item,message:s,interactionType:u.SUBMITTED,isPositive:t})):(_(a),a&&setTimeout(()=>{e.scrollElementIntoView(c.current,48,56)}),r.fire({type:d.FEEDBACK,messageItem:n.item,message:s,interactionType:a?u.DETAILS_OPENED:u.DETAILS_CLOSED,isPositive:t})),$(!!t&&o),P(!t&&o)}function A(e,t){M(!0),_(!1);const o={type:d.FEEDBACK,messageItem:n.item,message:s,interactionType:u.SUBMITTED,isPositive:e,text:t.text,categories:t.selectedCategories};r.fire(o),C({is_positive:o.isPositive,text:o.text,categories:o.categories})}function 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e?.detail?.open?e.detail.open:!this.getReasoningContainerOpen(t);this.isAutoReasoning(this.props.message)?this.setState({autoReasoningContainerOpen:o}):this.setState({manualReasoningOpen:o})},this.handleAutoReasoningToggle=e=>{if(!this.isAutoReasoning(this.props.message))return;const t=void 0!==e?.newState?"open"===e.newState:Boolean(e.detail?.open??e.currentTarget?.open);this.setState(e=>e.autoReasoningContainerOpen===t?null:{autoReasoningContainerOpen:t})},this.handleAutoReasoningStepToggle=(e,t)=>{if(!this.isAutoReasoning(this.props.message))return;const o=Boolean(t?.detail?.open);this.setState(t=>{if(t.autoReasoningStepOpenStates[e]===o)return null;const r=t.autoReasoningStepOpenStates.slice();return r[e]=o,{autoReasoningStepOpenStates:r}})},this.onHandleFocus=()=>{this.setState({focusHandleHasFocus:!0})},this.onHandleBlur=()=>{this.setState({focusHandleHasFocus:!1})},this.onHandleKeyDown=e=>{if(e.altKey||e.metaKey||e.ctrlKey||e.shiftKey)return;let t;if("ArrowUp"===e.key)t=qb.PREVIOUS;else if("ArrowDown"===e.key)t=qb.NEXT;else if("Home"===e.key)t=qb.FIRST;else if("End"===e.key)t=qb.LAST;else if("Escape"===e.key)t=qb.INPUT;else if("Enter"===e.key||" "===e.key)return e.preventDefault(),void this.reAnnounceFocusHandle();t&&(e.preventDefault(),this.props.requestMoveFocus(t,this.props.messagesIndex))}}getWidgetSaidMessage(){const{intl:e,assistantName:t,localMessageItem:o}=this.props;let r;return o.item.agent_message_type?o.item.response_type===z.TEXT&&(r="messages_agentSaid",this.isAgent=!0):(r="messages_assistantSaid",this.isAgent=!1),r?e.formatMessage({id:r},{assistantName:t}):null}componentDidCatch(e,t){this.props.serviceManager.actions.errorOccurred(B("Message",e,t)),this.setState({didRenderErrorOccur:!0})}componentDidMount(){const e=this.props.localMessageItem.ui_state;e.needsAnnouncement&&(this.props.ariaAnnouncer(this.ref.current),this.props.serviceManager.store.dispatch(Hh.setMessageWasAnnounced(e.id))),this.syncAutoReasoningState()}componentDidUpdate(){const e=this.props.localMessageItem.ui_state;e.needsAnnouncement&&(this.props.ariaAnnouncer(this.ref.current),this.props.serviceManager.store.dispatch(Hh.setMessageWasAnnounced(e.id))),this.syncAutoReasoningState()}shouldRenderFailedMessage(){if(this.state.didRenderErrorOccur)return!0;const{localMessageItem:e,message:t}=this.props;return $u(e.item)&&t.ui_state_internal?.agent_no_service_desk}reAnnounceFocusHandle(){const e=this.focusHandleRef.current;e&&this.props.ariaAnnouncer(e.getAttribute("aria-label"))}requestHandleFocus(){const{languagePack:e,intl:t,message:o,assistantName:r}=this.props,n=[gu(o)?e.messages_youSaid:t.formatMessage({id:"messages_assistantSaid"},{assistantName:r})];su(this.messageRef.current,n),this.focusHandleRef.current.setAttribute("aria-label",n.join(" ")),Zp(this.focusHandleRef,!0)}renderFailedRenderMessage(){const{messagesIndex:e}=this.props;return ne.createElement("div",{className:`cds-aichat--message cds-aichat--message--inline-error cds-aichat--message-${e} ${this.props.className||""}`,ref:this.ref},ne.createElement("div",{className:"cds-aichat--message--padding"},ne.createElement("div",{className:"cds-aichat--assistant-message"},ne.createElement(jp,null,this.getWidgetSaidMessage()),ne.createElement("div",{className:"cds-aichat--received cds-aichat--message-vertical-padding cds-aichat--received--text"},ne.createElement(Gv,{text:this.props.languagePack.errors_singleMessage})))))}renderAvatarLine(e,t){let o;const{languagePack:r,assistantName:n,useAITheme:s,carbonTheme:a}=this.props,i=function(e){return v(e).format("LT")}(t.history.timestamp);let c,d,l,p="";if(mu(t)){const u=e.item.agent_message_type,h=t.message_options?.response_user_profile||{id:"watsonx",nickname:"watsonx",user_type:X.WATSONX};if(Nb(u))return null;const f=u===P.FROM_HUMAN_AGENT;if(h.profile_picture_url&&h.user_type!==X.WATSONX)o=ne.createElement(Kv,{url:h?.profile_picture_url,alt:f?r.agent_ariaResponseUserAvatar:r.agent_ariaGenericAvatar,fallback:ne.createElement(Hv,{icon:ne.createElement(Xb,null)})}),p="cds-aichat--message__avatar--agent",d=h?.nickname||"";else{d="watsonx"===h?.nickname&&n?n:h?.nickname;let e=ne.createElement(Hv,{icon:ne.createElement(Rb,null)});s&&h.user_type===X.WATSONX&&(e=ne.createElement(Wv,{theme:a})),o=ne.createElement(Kv,{url:h?.profile_picture_url,alt:r.agent_ariaGenericAssistantAvatar,fallback:e}),h.user_type===X.HUMAN&&(o=ne.createElement(Rv,{responseUserProfile:h,languagePack:r,width:"32px",height:"32px"})),p="cds-aichat--message__avatar--assistant"}c=ne.createElement("span",{"data-cds-aichat-exclude-node-read":!0},this.props.intl.formatMessage({id:"message_labelAssistant"},{timestamp:i,actorName:d}));const m=t.message_options?.reasoning;if(m?.steps?.length||m?.content){const e=this.getReasoningContainerOpen(m);l=ne.createElement(ne.Fragment,null,ne.createElement("span",{className:"cds-aichat--message__reasoning-separator"},"|"),ne.createElement(ji,{open:e,panelID:this.getReasoningContainerId(),openLabelText:r.reasoningSteps_mainLabelOpen,closedLabelText:r.reasoningSteps_mainLabelClosed,onToggle:this.handleReasoningToggleClick}))}}else c=ne.createElement("span",null,this.props.intl.formatMessage({id:"message_labelYou"},{timestamp:i}));return ne.createElement("div",{className:"cds-aichat--message__avatar-line",key:`${t.id}-avatar-line`},o&&ne.createElement("div",{className:`cds-aichat--message__avatar ${p}`},o),ne.createElement("div",{className:"cds-aichat--message__label"},c),ne.createElement("div",{className:"cds-aichat--message__reasoning"},l))}renderMessageState(e){const{languagePack:t}=this.props;let o,r,n=!1;const s=e.history?.error_state,a=e.history?.file_upload_status;return s===q.FAILED?(o=ne.createElement(Gv,{text:t.errors_singleMessage}),r="cds-aichat--message-error-failed",n=!0):a===x.UPLOADING?(o=ne.createElement(jv,{active:!0,overlay:!1,small:!0,assistiveText:t.fileSharing_statusUploading}),r="cds-aichat--message-status-file-uploading"):"success"===a&&(o=ne.createElement(Ab,{"aria-label":t.fileSharing_statusUploading}),r="cds-aichat--message-status-file-success"),o&&{element:ne.createElement("div",{className:`cds-aichat--message-status ${r}`},o),showBelowMessage:n}}renderReasoningSteps(e,t){const o=e?.steps,r=Boolean(o&&o.length),n=Boolean(e?.content);if(!r&&!n)return null;const s=this.isAutoReasoning(this.props.message),a=this.getReasoningContainerOpen(e);return ne.createElement("div",{className:"cds-aichat--message__reasoning-steps"},ne.createElement(Ti,{controlled:!0,id:this.getReasoningContainerId(),open:a,onToggle:s?this.handleAutoReasoningToggle:void 0},n&&e?.content&&ne.createElement(Xv,{text:e.content,highlight:!0,streaming:t}),(o??[]).map((e,r)=>{const n=e.open_state,i=void 0!==n&&n!==A.DEFAULT,c=this.state.autoReasoningStepOpenStates[r],d=i?n===A.OPEN:s?"boolean"==typeof c?c:r===o.length-1&&a:a&&r===o.length-1,l=s&&!i?e=>this.handleAutoReasoningStepToggle(r,e):void 0,p=e.content?ne.createElement(Xv,{text:e.content,highlight:!0,streaming:t}):null;return ne.createElement(Li,{key:`${this.props.message.id}-reasoning-${r}`,title:e.title,open:d,controlled:!0,onToggle:l},p)})))}isAutoReasoning(e){if(!mu(e))return!1;const t=e.message_options?.reasoning,o=Boolean(t?.steps&&t.steps.length),r=Boolean(t?.content);if(!o&&!r)return!1;const n=t.open_state;return void 0===n||n===A.DEFAULT}shouldCloseReasoning(e){if(!e||!e.item?.response_type)return!1;const{item:t,ui_state:o}=e;if(t.response_type===z.TEXT){const e=o.streamingState?o.streamingState.chunks.map(e=>e.text??"").join(""):void 0,r=t.text.length?t.text:e;return Boolean(r&&r.trim())}return!0}getReasoningContainerOpen(e){const t=e?.open_state,o=void 0!==t&&t!==A.DEFAULT;return"boolean"==typeof this.state.manualReasoningOpen?this.state.manualReasoningOpen:o?t===A.OPEN:this.state.autoReasoningContainerOpen??!0}getReasoningContainerId(){return`cds-aichat-reasoning-${this.props.message.id}`}syncAutoReasoningState(){if(!this.isAutoReasoning(this.props.message)||!mu(this.props.message))return;const e=this.props.message?.message_options?.reasoning?.steps??[],t=this.shouldCloseReasoning(this.props.localMessageItem);this.setState(o=>{let r="boolean"!=typeof o.autoReasoningContainerOpen||o.autoReasoningContainerOpen;const n=o.autoReasoningStepOpenStates.slice(0,e.length),s=n.length===e.length,a=Math.max(0,e.length-1),i=s&&n.length?n:e.map((e,t)=>t===a&&r);let c=!1,d=i.length!==o.autoReasoningStepOpenStates.length||i.some((e,t)=>e!==o.autoReasoningStepOpenStates[t]),l=o.autoReasoningHasAutoCollapsed;t&&!l&&r&&(r=!1,c=!0,d=!0,l=!0);const p=t?i.map(()=>!1):i;return c||d||l!==o.autoReasoningHasAutoCollapsed?{autoReasoningContainerOpen:r,autoReasoningStepOpenStates:p,autoReasoningHasAutoCollapsed:l}:null})}renderFocusHandle(){const{languagePack:e}=this.props;return ne.createElement("div",{className:"cds-aichat--message--focus-handle",ref:this.focusHandleRef,tabIndex:-1,onFocus:this.onHandleFocus,onBlur:this.onHandleBlur,onKeyDown:e=>this.onHandleKeyDown(e),onClick:()=>this.reAnnounceFocusHandle(),role:"button","aria-label":e.messages_focusHandle})}render(){if(this.shouldRenderFailedMessage())return this.renderFailedRenderMessage();const{serviceManager:e,config:t,localMessageItem:o,message:r,languagePack:n,requestInputFocus:s,messagesIndex:a,disableUserInputs:i,showAvatarLine:c,className:d,doAutoScroll:l,isMessageForInput:p,scrollElementIntoView:u,isFirstMessageItem:h,isLastMessageItem:f,hideFeedback:m,allowNewFeedback:v}=this.props,{isIntermediateStreaming:g}=o.ui_state,b=o.item,O=b.response_type,y=b.agent_message_type,k=r.ui_state_internal?.from_history,x=h;if(g&&!function(e){switch(e){case z.IMAGE:case z.VIDEO:case z.AUDIO:case z.OPTION:case z.IFRAME:case z.INLINE_ERROR:case z.CONVERSATIONAL_SEARCH:case z.USER_DEFINED:case z.TEXT:return!0;default:return!1}}(b.response_type))return!1;const _=ne.createElement(Mb,{serviceManager:e,languagePack:n,requestInputFocus:s,message:o,originalMessage:r,disableUserInputs:i,isMessageForInput:p,config:t,doAutoScroll:l,scrollElementIntoView:u,showChainOfThought:f,hideFeedback:m,allowNewFeedback:v}),w=Mu(o.item),$=y?function(e,t,o){if(e&&o)return"cds-aichat--received--agent-custom";if(!t||t!==z.TEXT&&t!==z.BUTTON)return"";switch(e){case null:case void 0:case P.FROM_USER:return null;case P.RELOAD_WARNING:case P.DISCONNECTED:return"cds-aichat--received--chat-status-message";case P.FROM_HUMAN_AGENT:return"cds-aichat--received--from-human";default:return"cds-aichat--received--agent-status-message"}}(y,O,w):null,S=gu(r),Q=Nb(o.item.agent_message_type);let T,E=!1;return yu(o.item)&&(o.item.title||o.item.description||(E=!0)),S&&(T=this.renderMessageState(r)),ne.createElement("div",{"data-testid":`message-by-index-${a}${e.namespace.suffix}`,className:fi(`cds-aichat--message cds-aichat--message-${a}`,d,y&&"cds-aichat--message--agent-message",{"cds-aichat--message--with-avatar-line":c,"cds-aichat--with-human-agent":this.isAgent,"cds-aichat--message--request":S,"cds-aichat--message--system-message":Q,"cds-aichat--message--response":!S,"cds-aichat--message--custom":w,"cds-aichat--message--disabled-inputs":i,"cds-aichat--message--has-focus":this.state.focusHandleHasFocus,"cds-aichat--message--option-response-without-title-or-description":E}),ref:this.ref},this.renderFocusHandle(),c&&this.renderAvatarLine(o,r),ne.createElement("div",{className:"cds-aichat--message--padding"},mu(r)&&ne.createElement("div",{className:"cds-aichat--assistant-message"},x&&ne.createElement(jp,null,this.getWidgetSaidMessage()),ne.createElement("div",{className:fi("cds-aichat--received","cds-aichat--message-vertical-padding",$,{"cds-aichat--received--from-human":!y&&r.message_options?.response_user_profile?.user_type===X.HUMAN,"cds-aichat--received--text":O===z.TEXT,"cds-aichat--received--image":O===z.IMAGE,"cds-aichat--received--options":O===z.OPTION,"cds-aichat--received--inline-error":O===z.INLINE_ERROR,"cds-aichat--received--iframe-preview-card":O===z.IFRAME,"cds-aichat--received--video":O===z.VIDEO,"cds-aichat--received--audio":O===z.AUDIO,"cds-aichat--received--date":O===z.DATE,"cds-aichat--received--card":O===z.CARD,"cds-aichat--received--carousel":O===z.CAROUSEL,"cds-aichat--received--conversational-search":O===z.CONVERSATIONAL_SEARCH,"cds-aichat--received--carousel-single":Au(o.item),"cds-aichat--received--button":O===z.BUTTON,"cds-aichat--received--grid":O===z.GRID,"cds-aichat--received--full-width":Xu(o.item),"cds-aichat--message--historical":k}),ref:this.messageRef},ne.createElement("div",{className:"cds-aichat--received--inner"},h&&this.renderReasoningSteps(r.message_options?.reasoning,Boolean(o.ui_state.streamingState&&!o.ui_state.streamingState.isDone)),_))),S&&ne.createElement("div",{className:"cds-aichat--sent-container"},ne.createElement("div",{className:fi("cds-aichat--sent-and-message-state-container","cds-aichat--message-vertical-padding",{"cds-aichat--sent-and-message-state--below-message":T?.showBelowMessage})},!T?.showBelowMessage&&T?.element,ne.createElement("div",{className:"cds-aichat--sent"},ne.createElement(jp,null,n.messages_youSaid),ne.createElement("div",{className:"cds-aichat--sent--bubble"},ne.createElement("div",{ref:this.messageRef},_))),T?.showBelowMessage&&T?.element))))}}function Nb(e){switch(e){case null:case void 0:case P.FROM_USER:case P.RELOAD_WARNING:case P.DISCONNECTED:case P.FROM_HUMAN_AGENT:case P.INLINE_ERROR:return!1;default:return!0}}var Db=Tv(Ib);const Lb=Qv({elem:"svg",attrs:{xmlns:"http://www.w3.org/2000/svg",viewBox:"0 0 32 32",fill:"currentColor",width:16,height:16},content:[{elem:"path",attrs:{d:"M16 18L6 8 7.4 6.6 16 15.2 24.6 6.6 26 8zM4 22H28V24H4z"}}],name:"down-to-bottom",size:16});class Vb extends ne.PureComponent{constructor(){super(...arguments),this.state={scrollHandleHasFocus:!1,scrollDown:!1},this.messageRefs=new Map,this.messagesContainerWithScrollingRef=ne.createRef(),this.scrollHandleRef=ne.createRef(),this.agentBannerRef=ne.createRef(),this.bottomSpacerRef=ne.createRef(),this.shouldScrollToMessage=(e,t)=>{if(mu(t)){const{allMessagesByID:e}=this.props,o=e[t?.request_id];return o?.history?.silent&&""!==o.input?.text}return gu(t)},this.onResize=()=>{if(this.renderScrollDownNotification(),this.props.messageState.isScrollAnchored){const e=this.messagesContainerWithScrollingRef.current;e&&(e.scrollTop=e.scrollHeight)}this.doAutoScroll()},this.doAutoScroll=(0,vi.A)((e={})=>{try{requestAnimationFrame(()=>this.executeAutoScroll(e))}catch(e){}},100),this.getContainerScrollBottom=()=>{return e=this.messagesContainerWithScrollingRef?.current,e?e.scrollHeight-e.offsetHeight-e.scrollTop:0;var e},this.scrollElementIntoView=(e,t=8,o=8,r=!1)=>{const n=this.messagesContainerWithScrollingRef.current,s=n.getBoundingClientRect(),a=e.getBoundingClientRect(),i=a.top-s.top+n.scrollTop-t,c=a.bottom-s.top+n.scrollTop+o,d=e.offsetHeight+t+o;in.offsetHeight?Lp(n,i,0):c>n.scrollTop+n.offsetHeight&&Lp(n,c-n.offsetHeight,0,r)},this.renderScrollDownNotification=(0,gi.A)(()=>{const e=this.checkMessagesOutOfView();this.setState({scrollHandleHasFocus:!1,scrollDown:e})},50,{leading:!1,trailing:!0}),this.requestMoveFocus=(e,t)=>{if(e===qb.INPUT)this.props.requestInputFocus();else{const{localMessageItems:o}=this.props;let r;switch(e){case qb.LAST:r=o.length-1;break;case qb.NEXT:r=t+1,r>=o.length&&(r=0);break;case qb.PREVIOUS:r=t-1,r<0&&(r=o.length-1);break;default:r=0}const n=o[r],s=this.messageRefs.get(n?.ui_state.id);s&&s.requestHandleFocus()}}}componentDidMount(){this.scrollPanelObserver=new ResizeObserver(this.onResize),this.scrollPanelObserver.observe(this.messagesContainerWithScrollingRef.current),this.previousScrollOffsetHeight=this.messagesContainerWithScrollingRef.current.offsetHeight}componentDidUpdate(e){const t=this.props,o=e.localMessageItems.length!==t.localMessageItems.length,r=Gf(e),n=Gf(t),s=e.messageState.isMessageLoadingCounter!==t.messageState.isMessageLoadingCounter||r.isHumanAgentTyping!==n.isHumanAgentTyping;if(o||s){(hu(t.localMessageItems)!==hu(e.localMessageItems)||s)&&this.doAutoScroll({preferAnimate:!0})}}componentWillUnmount(){this.scrollPanelObserver.unobserve(this.messagesContainerWithScrollingRef.current)}getPreviousSpacerDeficit(e){const t=e?getComputedStyle(e).getPropertyValue("min-block-size"):"0";return parseFloat(t)||0}calculateBaseScrollTop(e,t,o){const r=e.top-t.top+o.scrollTop;return Math.max(0,Math.floor(r+20))}adjustScrollTopForTallMessage(e,t,o){if(!(t>o*Vb.TALL_MESSAGE_THRESHOLD_RATIO))return e;return e+Math.max(0,t-Vb.VISIBLE_BOTTOM_PORTION_PX)}calculateSpacerDeficit(e,t,o,r){const n=e.getBoundingClientRect().top-o.top+t.scrollTop,s=r+t.clientHeight;return Math.max(0,Math.ceil(s-n))}checkScrollAnchor(e,t){const o=this.messagesContainerWithScrollingRef.current;if(o){if(e||this.previousScrollOffsetHeight===o.offsetHeight&&!this.props.suspendScrollDetection){const e=(void 0!==t?t:o.scrollTop)>=o.scrollHeight-o.offsetHeight;e!==this.props.messageState.isScrollAnchored&&this.props.serviceManager.store.dispatch(Hh.setChatMessagesStateProperty("isScrollAnchored",e))}this.previousScrollOffsetHeight=o.offsetHeight}}handleScrollToTop(e,t){Lp(e,t,0)}handleScrollToBottom(e,t,o){Lp(e,e.scrollHeight-e.offsetHeight-t,0,o)}getLastMessage(){const{localMessageItems:e,allMessagesByID:t}=this.props,o=e.length-1,r=e.length?e[o]:null;return{localItem:r,message:t[r?.fullMessageID]}}shouldAnimateScroll(e,t){const o=e.preferAnimate??!0;return!t?.ui_state_internal?.from_history&&o}findLastScrollableMessage(e,t){let o=e.length-1;for(;o>=1;){const r=e[o],n=t[r?.fullMessageID];if(this.shouldScrollToMessage(r,n)){const t=this.messageRefs.get(r.ui_state.id);return Zb(`[doAutoScroll] lastScrollableMessageComponent=${o}`,e[o],n),{messageComponent:t,index:o}}o--}return null}async calculateAndApplyScrollPosition(e,t,o){await Up(t);const r=this.bottomSpacerRef.current,n=e?.ref?.current;if(n){const s=this.calculateScrollMetrics(n,t,r),a=this.calculateFinalScrollTop(s.targetRect,s.scrollerRect,t,s.scrollerHeight);if(await this.updateSpacerElement(r,t,s.scrollerRect,a),this.previousScrollableMessage===e)return;Lp(t,a,0,o),this.checkScrollAnchor(!0,a),this.previousScrollableMessage=e}}calculateScrollMetrics(e,t,o){const r=this.getPreviousSpacerDeficit(o),n=e.getBoundingClientRect(),s=t.getBoundingClientRect();return{targetRect:n,scrollerRect:s,scrollerHeight:s.height-r,previousDeficit:r}}calculateFinalScrollTop(e,t,o,r){const n=this.calculateBaseScrollTop(e,t,o);return this.adjustScrollTopForTallMessage(n,e.height,r)}async updateSpacerElement(e,t,o,r){await Up(t,{frames:7,timeoutMs:500});const n=this.calculateSpacerDeficit(e,t,o,r);e.style.setProperty("min-block-size",`${n}px`)}handleNoMessages(e,t){Lp(e,0,0,t),this.checkScrollAnchor(!0,0)}executeAutoScroll(e){const{scrollToTop:t,scrollToBottom:o}=e,{localMessageItems:r,allMessagesByID:n}=this.props,s=this.messagesContainerWithScrollingRef.current;if(void 0!==t)return void this.handleScrollToTop(s,t);if(void 0!==o){const t=this.shouldAnimateScroll(e,null);return void this.handleScrollToBottom(s,o,t)}const{localItem:a,message:i}=this.getLastMessage(),c=this.shouldAnimateScroll(e,i);if(!a)return void this.handleNoMessages(s,c);const d=this.findLastScrollableMessage(r,n);d?.messageComponent&&this.calculateAndApplyScrollPosition(d.messageComponent,s,c)}requestHumanAgentBannerFocus(){return!!this.agentBannerRef.current&&this.agentBannerRef.current.requestFocus()}doScrollToMessage(e,t=!1){try{const{localMessageItems:o}=this.props;let r;for(let t=0;t<=o.length;t++){const n=o[t];if(n.fullMessageID===e){r=this.messageRefs.get(n.ui_state.id);break}}if(r){const e=this.messagesContainerWithScrollingRef.current,o=r.ref.current.offsetTop;Lp(e,o,0,t),this.checkScrollAnchor(!0,o)}}catch(e){}}checkMessagesOutOfView(){const e=this.messagesContainerWithScrollingRef.current;if(!e)return!1;return e.scrollHeight-e.scrollTop-e.clientHeight>60}getLastOutputMessageElements(){const{localMessageItems:e,allMessagesByID:t}=this.props,o=hu(e),r=t[o?.fullMessageID];if(mu(r)){const t=[];let o=!1;for(let n=e.length-1;n>=0;n--){const s=e[n],a=this.messageRefs.get(s?.ui_state.id);if(a){const{getLocalMessage:e}=a;if(e().fullMessageID===r.id){o=!0;const e=a.ref?.current;if(!e)break;t.push(e)}else if(o)break}}return t.reverse()}return[]}renderTypingIndicator(e,t,o){return ne.createElement("div",{className:`cds-aichat--message cds-aichat--message-${t} 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x=this.props.localMessageItems.length+(y>0||O?1:0),_=fi({"cds-aichat--message--first-message":0===o,"cds-aichat--message--last-message":o===x-1}),w=l.public.persistFeedback||e.fullMessageID===c,$=e.ui_state.id,S=ne.createElement(Db,{intl:this.props.intl,ref:e=>{e?this.messageRefs.set($,e):this.messageRefs.delete($)},className:_,config:l,localMessageItem:e,message:t,languagePack:f,requestInputFocus:p,serviceManager:d,messagesIndex:o,assistantName:h,disableUserInputs:b.isReadonly,isMessageForInput:n,showAvatarLine:s,requestMoveFocus:this.requestMoveFocus,doAutoScroll:this.doAutoScroll,scrollElementIntoView:this.scrollElementIntoView,isFirstMessageItem:s,isLastMessageItem:a,locale:l.public.locale||"en",carbonTheme:v,useAITheme:g,allowNewFeedback:w,hideFeedback:!1});return r?ne.createElement(Uv,{welcomeNodeBeforeElement:d.writeableElements[i.WELCOME_NODE_BEFORE_ELEMENT],key:$},S):ne.createElement(ne.Fragment,{key:$},S)}renderHumanAgentBanner(){return ne.createElement(Vv,{bannerRef:this.agentBannerRef,onButtonClick:this.props.onEndHumanAgentChat})}renderScrollHandle(e){const{languagePack:t}=this.props.config.derived;let o;o=Kp?e?"messages_scrollHandle":"messages_scrollHandleEnd":e?"messages_scrollHandleDetailed":"messages_scrollHandleEndDetailed";const r=Kp?void 0:()=>this.requestMoveFocus(e?qb.FIRST:qb.LAST,0);return ne.createElement("button",{type:"button",className:"cds-aichat--messages--scroll-handle",ref:this.scrollHandleRef,tabIndex:0,"aria-label":t[o]||t.messages_scrollHandle,onClick:r,onFocus:()=>this.setState({scrollHandleHasFocus:!0,...this.state}),onBlur:()=>this.setState({scrollHandleHasFocus:!1,...this.state})})}getMessageIDForUserInput(){const{localMessageItems:e,allMessagesByID:t}=this.props;for(let o=e.length-1;o>=0;o--){const r=e[o],n=t[r.fullMessageID];if(gu(n)&&n?.history?.error_state!==q.FAILED)return null;if(mu(n))return r.fullMessageID}return null}renderMessages(e){const{localMessageItems:t,allMessagesByID:o}=this.props,r=[],n=hu(t)?.fullMessageID;let s=null;for(let a=0;a{this.checkScrollAnchor(),this.renderScrollDownNotification()}},ne.createElement("div",{className:"cds-aichat--messages"},this.renderScrollHandle(!0),p,(Boolean(s)||i)&&this.renderTypingIndicator(u,e.length,s?a:void 0),this.renderScrollHandle(!1),ne.createElement("div",{id:"chat-bottom-spacer",ref:this.bottomSpacerRef}),ne.createElement(bb,null,ne.createElement("div",{className:"cds-aichat__scroll-to-bottom"},ne.createElement(Wc,{className:fi("cds-aichat__scroll-to-bottom-button",{"cds-aichat__scroll-to-bottom-button--hidden":!d}),size:Nc.SMALL,kind:Oi.Er.SECONDARY,"aria-label":n.messages_scrollMoreButton,onClick:()=>this.doAutoScroll({scrollToBottom:0,preferAnimate:!0})},ne.createElement(Lb,{slot:"icon"})))))))}}function Zb(e,...t){}Vb.VISIBLE_BOTTOM_PORTION_PX=100,Vb.TALL_MESSAGE_THRESHOLD_RATIO=.25;var Yb=function(e){const t=ne.forwardRef((t,o)=>{const r=(0,ne.useContext)(Sp);return ne.createElement(e,{...t,ref:o,serviceManager:r})});return t.displayName=`withServiceManager(${e.displayName||e.name||"Component"})`,t}(ne.forwardRef((e,t)=>{const o=Ep(e=>e);return ne.createElement(Vb,{ref:t,...e,...o})}));const Ub=(0,oe.a)({tagName:"cds-chat-button",elementClass:uc,react:ne});function jb(){const e=du();return ne.createElement("svg",{viewBox:"0 0 80 80"},ne.createElement("defs",null,ne.createElement("linearGradient",{id:`${e}-1`,x1:"38.91",y1:"4.92",x2:"38.91",y2:"73.85",gradientTransform:"matrix(1, 0, 0, -1, 0, 82)",gradientUnits:"userSpaceOnUse"},ne.createElement("stop",{offset:"0",stopColor:"#262626"}),ne.createElement("stop",{offset:"1",stopColor:"#393939"})),ne.createElement("linearGradient",{id:`${e}-2`,x1:"12.44",y1:"71.21",x2:"76.34",y2:"34.31",gradientTransform:"matrix(1, 0, 0, -1, 0, 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--cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n\n.cds--layout-constraint--size__default-md{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-md, 2.5rem));\n}\n\n.cds--layout-constraint--size__min-md{\n --cds-layout-size-height-min:var(--cds-layout-size-height-md, 2.5rem);\n}\n\n.cds--layout-constraint--size__max-md{\n --cds-layout-size-height-max:var(--cds-layout-size-height-md, 2.5rem);\n}\n\n.cds--layout--size-lg{\n --cds-layout-size-height-context:var(--cds-layout-size-height-lg, 3rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n\n.cds--layout-constraint--size__default-lg{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-lg, 3rem));\n}\n\n.cds--layout-constraint--size__min-lg{\n --cds-layout-size-height-min:var(--cds-layout-size-height-lg, 3rem);\n}\n\n.cds--layout-constraint--size__max-lg{\n --cds-layout-size-height-max:var(--cds-layout-size-height-lg, 3rem);\n}\n\n.cds--layout--size-xl{\n --cds-layout-size-height-context:var(--cds-layout-size-height-xl, 4rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n\n.cds--layout-constraint--size__default-xl{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-xl, 4rem));\n}\n\n.cds--layout-constraint--size__min-xl{\n --cds-layout-size-height-min:var(--cds-layout-size-height-xl, 4rem);\n}\n\n.cds--layout-constraint--size__max-xl{\n --cds-layout-size-height-max:var(--cds-layout-size-height-xl, 4rem);\n}\n\n.cds--layout--size-2xl{\n --cds-layout-size-height-context:var(--cds-layout-size-height-2xl, 5rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n\n.cds--layout-constraint--size__default-2xl{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-2xl, 5rem));\n}\n\n.cds--layout-constraint--size__min-2xl{\n --cds-layout-size-height-min:var(--cds-layout-size-height-2xl, 5rem);\n}\n\n.cds--layout-constraint--size__max-2xl{\n --cds-layout-size-height-max:var(--cds-layout-size-height-2xl, 5rem);\n}\n\n.cds--layout--density-condensed{\n --cds-layout-density-padding-inline-context:var(--cds-layout-density-padding-inline-condensed, 0.5rem);\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context);\n}\n\n.cds--layout-constraint--density__default-condensed{\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context, var(--cds-layout-density-padding-inline-condensed, 0.5rem));\n}\n\n.cds--layout-constraint--density__min-condensed{\n --cds-layout-density-padding-inline-min:var(--cds-layout-density-padding-inline-condensed, 0.5rem);\n}\n\n.cds--layout-constraint--density__max-condensed{\n --cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-condensed, 0.5rem);\n}\n\n.cds--layout--density-normal{\n --cds-layout-density-padding-inline-context:var(--cds-layout-density-padding-inline-normal, 1rem);\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context);\n}\n\n.cds--layout-constraint--density__default-normal{\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context, var(--cds-layout-density-padding-inline-normal, 1rem));\n}\n\n.cds--layout-constraint--density__min-normal{\n --cds-layout-density-padding-inline-min:var(--cds-layout-density-padding-inline-normal, 1rem);\n}\n\n.cds--layout-constraint--density__max-normal{\n --cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-normal, 1rem);\n}\n\n:root{\n --cds-layout-size-height-xs:1.5rem;\n --cds-layout-size-height-sm:2rem;\n --cds-layout-size-height-md:2.5rem;\n --cds-layout-size-height-lg:3rem;\n --cds-layout-size-height-xl:4rem;\n --cds-layout-size-height-2xl:5rem;\n --cds-layout-size-height-min:0px;\n --cds-layout-size-height-max:999999999px;\n --cds-layout-density-padding-inline-condensed:0.5rem;\n --cds-layout-density-padding-inline-normal:1rem;\n --cds-layout-density-padding-inline-min:0px;\n --cds-layout-density-padding-inline-max:999999999px;\n}\n\n:host{\n block-size:100%;\n --cds-layout-size-height-xs:1.5rem;\n --cds-layout-size-height-sm:2rem;\n --cds-layout-size-height-md:2.5rem;\n --cds-layout-size-height-lg:3rem;\n --cds-layout-size-height-xl:4rem;\n --cds-layout-size-height-2xl:5rem;\n --cds-layout-size-height-min:0px;\n --cds-layout-size-height-max:999999999px;\n --cds-layout-density-padding-inline-condensed:0.5rem;\n --cds-layout-density-padding-inline-normal:1rem;\n --cds-layout-density-padding-inline-min:0px;\n --cds-layout-density-padding-inline-max:999999999px;\n}\n:host html,\n:host body,\n:host div,\n:host span,\n:host applet,\n:host object,\n:host iframe,\n:host h1,\n:host h2,\n:host h3,\n:host h4,\n:host h5,\n:host h6,\n:host p,\n:host blockquote,\n:host pre,\n:host a,\n:host abbr,\n:host acronym,\n:host address,\n:host big,\n:host cite,\n:host code,\n:host del,\n:host dfn,\n:host em,\n:host img,\n:host ins,\n:host kbd,\n:host q,\n:host s,\n:host samp,\n:host small,\n:host strike,\n:host strong,\n:host sub,\n:host sup,\n:host tt,\n:host var,\n:host b,\n:host u,\n:host i,\n:host center,\n:host dl,\n:host dt,\n:host dd,\n:host ol,\n:host ul,\n:host li,\n:host fieldset,\n:host form,\n:host label,\n:host legend,\n:host table,\n:host caption,\n:host tbody,\n:host tfoot,\n:host thead,\n:host tr,\n:host th,\n:host td,\n:host article,\n:host aside,\n:host canvas,\n:host details,\n:host embed,\n:host figure,\n:host figcaption,\n:host footer,\n:host header,\n:host hgroup,\n:host menu,\n:host nav,\n:host output,\n:host ruby,\n:host section,\n:host summary,\n:host time,\n:host mark,\n:host audio,\n:host video{\n padding:0;\n border:0;\n margin:0;\n font:inherit;\n font-feature-settings:\"liga\" 1;\n font-size:100%;\n vertical-align:baseline;\n}\n:host button,\n:host select,\n:host input,\n:host textarea{\n border-radius:0;\n font-family:inherit;\n}\n:host{\n}\n:host article,\n:host aside,\n:host details,\n:host figcaption,\n:host figure,\n:host footer,\n:host header,\n:host hgroup,\n:host menu,\n:host nav,\n:host section{\n display:block;\n}\n:host body{\n background-color:var(--cds-background, #ffffff);\n color:var(--cds-text-primary, #161616);\n line-height:1;\n}\n:host ol,\n:host ul{\n list-style:none;\n}\n:host blockquote,\n:host q{\n quotes:none;\n}\n:host blockquote::before,\n:host blockquote::after,\n:host q::before,\n:host q::after{\n content:none;\n}\n:host table{\n border-collapse:collapse;\n border-spacing:0;\n}\n:host html{\n box-sizing:border-box;\n}\n:host *,\n:host *::before,\n:host *::after{\n box-sizing:inherit;\n}\n:host html{\n font-size:100%;\n}\n:host body{\n font-weight:400;\n font-family:'IBM Plex Sans', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', sans-serif;\n -moz-osx-font-smoothing:grayscale;\n -webkit-font-smoothing:antialiased;\n text-rendering:optimizeLegibility;\n}\n:host code{\n font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n}\n:host strong{\n font-weight:600;\n}\n@media screen and (-ms-high-contrast: active){\n :host svg{\n fill:ButtonText;\n }\n}\n:host h1{\n font-size:var(--cds-heading-06-font-size, 2.625rem);\n font-weight:var(--cds-heading-06-font-weight, 300);\n line-height:var(--cds-heading-06-line-height, 1.199);\n letter-spacing:var(--cds-heading-06-letter-spacing, 0);\n}\n:host h2{\n font-size:var(--cds-heading-05-font-size, 2rem);\n font-weight:var(--cds-heading-05-font-weight, 400);\n line-height:var(--cds-heading-05-line-height, 1.25);\n letter-spacing:var(--cds-heading-05-letter-spacing, 0);\n}\n:host h3{\n font-size:var(--cds-heading-04-font-size, 1.75rem);\n font-weight:var(--cds-heading-04-font-weight, 400);\n line-height:var(--cds-heading-04-line-height, 1.28572);\n letter-spacing:var(--cds-heading-04-letter-spacing, 0);\n}\n:host h4{\n font-size:var(--cds-heading-03-font-size, 1.25rem);\n font-weight:var(--cds-heading-03-font-weight, 400);\n line-height:var(--cds-heading-03-line-height, 1.4);\n letter-spacing:var(--cds-heading-03-letter-spacing, 0);\n}\n:host h5{\n font-size:var(--cds-heading-02-font-size, 1rem);\n font-weight:var(--cds-heading-02-font-weight, 600);\n line-height:var(--cds-heading-02-line-height, 1.5);\n letter-spacing:var(--cds-heading-02-letter-spacing, 0);\n}\n:host h6{\n font-size:var(--cds-heading-01-font-size, 0.875rem);\n font-weight:var(--cds-heading-01-font-weight, 600);\n line-height:var(--cds-heading-01-line-height, 1.42857);\n letter-spacing:var(--cds-heading-01-letter-spacing, 0.16px);\n}\n:host p{\n font-size:var(--cds-body-02-font-size, 1rem);\n font-weight:var(--cds-body-02-font-weight, 400);\n line-height:var(--cds-body-02-line-height, 1.5);\n letter-spacing:var(--cds-body-02-letter-spacing, 0);\n}\n:host a{\n color:var(--cds-link-primary, #0062fe);\n}\n:host em{\n font-style:italic;\n}\n:host{\n}\n@keyframes cds-aichat-fade-in{\n 0%{\n opacity:0;\n }\n 100%{\n opacity:1;\n }\n}\n@keyframes cds-aichat-fade-in-up{\n 0%{\n opacity:0;\n transform:translateY(32px);\n }\n 50%{\n transform:translateY(0);\n }\n 100%{\n opacity:1;\n }\n}\n@keyframes cds-aichat-fade-out{\n 0%{\n opacity:1;\n }\n 100%{\n opacity:0;\n }\n}\n@keyframes cds-aichat-fade-in-img{\n 0%{\n filter:grayscale(100%);\n opacity:0;\n }\n 100%{\n filter:grayscale(0%);\n opacity:1;\n }\n}\n@keyframes cds-aichat-slide-in-from-right{\n from{\n inset-inline-start:100%;\n }\n to{\n inset-inline-start:0;\n }\n}\n@keyframes cds-aichat-slide-out-to-right{\n from{\n inset-inline-start:0;\n }\n to{\n inset-inline-start:100%;\n }\n}\n@keyframes cds-aichat-slide-out-to-top{\n from{\n inset-block-start:0;\n }\n to{\n inset-block-start:-100%;\n }\n}\n@keyframes cds-aichat-slide-in-from-left{\n from{\n inset-inline-end:100%;\n }\n to{\n inset-inline-end:0;\n }\n}\n@keyframes cds-aichat-slide-out-to-left{\n from{\n inset-inline-end:0;\n }\n to{\n inset-inline-end:100%;\n }\n}\n@keyframes cds-aichat-slide-in-from-bottom{\n from{\n inset-block-start:100%;\n }\n to{\n inset-block-start:0;\n }\n}\n@keyframes cds-aichat-slide-out-to-bottom{\n from{\n inset-block-start:0;\n }\n to{\n inset-block-start:100%;\n }\n}\n@keyframes cds-aichat-widget-in{\n 0%{\n inset-block-end:0;\n opacity:0;\n }\n 100%{\n inset-block-end:var(--cds-aichat-bottom-position, 3rem);\n opacity:1;\n }\n}\n@keyframes cds-aichat-widget-in-mobile{\n 0%{\n opacity:0;\n }\n 100%{\n opacity:1;\n }\n}\n@keyframes cds-aichat-widget-out{\n 0%{\n opacity:1;\n }\n 100%{\n opacity:0;\n }\n}\n@keyframes cds-aichat-fade-in-up-back-button{\n 0%{\n opacity:0;\n transform:translate(-50%, calc(-100% - 1rem + 2rem));\n }\n 15%{\n opacity:0;\n }\n 50%{\n transform:translate(-50%, calc(-100% - 1rem));\n }\n 100%{\n opacity:1;\n }\n}\n@keyframes cds-aichat-widget-in{\n 0%{\n inset-block-end:calc(var(--cds-aichat-bottom-position, 3rem) - 2rem);\n opacity:0;\n }\n 100%{\n inset-block-end:var(--cds-aichat-bottom-position, 3rem);\n opacity:1;\n }\n}\n@keyframes cds-aichat-widget-out{\n 0%{\n opacity:1;\n }\n 100%{\n opacity:0;\n }\n}\n:host{\n}\n:host .cds-aichat--container--render{\n --cds-aichat-max-height:640px;\n --cds-aichat-min-height:max(\n 150px,\n calc(min(256px, 100vh) - var(--cds-aichat-bottom-position))\n );\n --cds-aichat-messages-max-width:672px;\n --cds-aichat-messages-min-width:320px;\n --cds-aichat-workspace-min-width:480px;\n --cds-aichat-bottom-position:3rem;\n --cds-aichat-right-position:2rem;\n --cds-aichat-top-position:auto;\n --cds-aichat-left-position:auto;\n --cds-aichat-z-index:99999;\n --cds-aichat-border-radius:0;\n --cds-aichat-ai-box-shadow-inner:inset 0 -80px 70px -65px var(--cds-ai-inner-shadow, rgba(69, 137, 255, 0.1));\n --cds-aichat-ai-box-shadow-outer:0 4px 10px 2px var(--cds-ai-drop-shadow, rgba(15, 98, 254, 0.1));\n --cds-aichat-card-border-radius:0.5rem;\n --cds-aichat-card-max-width:424px;\n --cds-aichat-box-shadow:1px 0 4px hsl(0deg 0% 9% / 30%);\n --cds-aichat-width:min(380px, var(--cds-aichat-max-width));\n --cds-aichat-height:calc(100vh - (2 * 2rem));\n --cds-aichat-launcher-default-size:56px;\n --cds-aichat-launcher-position-bottom:3rem;\n --cds-aichat-launcher-position-right:2rem;\n --cds-aichat-launcher-extended-width:280px;\n --cds-aichat-launcher-color-background:var(--cds-button-primary, #0f62fe);\n --cds-aichat-launcher-color-avatar:var(--cds-text-on-color, #ffffff);\n --cds-aichat-launcher-color-background-hover:var(--cds-button-primary-hover, #0050e6);\n --cds-aichat-launcher-color-background-active:var(--cds-button-primary-active, #002d9c);\n --cds-aichat-launcher-color-focus-border:var(--cds-text-on-color, #ffffff);\n --cds-aichat-launcher-mobile-color-text:var(--cds-text-on-color, #ffffff);\n --cds-aichat-launcher-expanded-message-color-text:var(--cds-text-on-color, #ffffff);\n --cds-aichat-launcher-expanded-message-color-background:var(--cds-button-primary, #0f62fe);\n --cds-aichat-launcher-expanded-message-color-background-hover:var(--cds-button-primary-hover, #0050e6);\n --cds-aichat-launcher-expanded-message-color-background-active:var(--cds-button-primary-active, #002d9c);\n --cds-aichat-launcher-expanded-message-color-focus-border:var(--cds-text-on-color, #ffffff);\n --cds-aichat-unread-indicator-color-background:var(--cds-support-error, #da1e28);\n --cds-aichat-unread-indicator-color-text:var(--cds-text-on-color, #ffffff);\n}\n:host .cds-aichat--container--render .cds-aichat--widget--rounded{\n --cds-aichat-border-radius:0.5rem;\n}\n:host .cds-aichat--container--render.cds-aichat--is-phone{\n --cds-aichat-width:calc(100vw - 4px);\n --cds-aichat-height:calc(100vh - 4px);\n --cds-aichat-left-position:2;\n --cds-aichat-top-position:2;\n --cds-aichat-max-width:auto;\n --cds-aichat-max-height:auto;\n --cds-aichat-min-height:auto;\n --cds-aichat-right-position:auto;\n}\n@supports (height: 100dvh){\n :host .cds-aichat--container--render.cds-aichat--is-phone{\n --cds-aichat-width:calc(100dvw - 4px);\n --cds-aichat-height:calc(100dvh - 4px);\n }\n}\n:host{\n}\n:host .cds--layout--size-xs{\n --cds-layout-size-height-context:var(--cds-layout-size-height-xs, 1.5rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n:host .cds--layout-constraint--size__default-xs{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-xs, 1.5rem));\n}\n:host .cds--layout-constraint--size__min-xs{\n --cds-layout-size-height-min:var(--cds-layout-size-height-xs, 1.5rem);\n}\n:host .cds--layout-constraint--size__max-xs{\n --cds-layout-size-height-max:var(--cds-layout-size-height-xs, 1.5rem);\n}\n:host .cds--layout--size-sm{\n --cds-layout-size-height-context:var(--cds-layout-size-height-sm, 2rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n:host .cds--layout-constraint--size__default-sm{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-sm, 2rem));\n}\n:host .cds--layout-constraint--size__min-sm{\n --cds-layout-size-height-min:var(--cds-layout-size-height-sm, 2rem);\n}\n:host .cds--layout-constraint--size__max-sm{\n --cds-layout-size-height-max:var(--cds-layout-size-height-sm, 2rem);\n}\n:host .cds--layout--size-md{\n --cds-layout-size-height-context:var(--cds-layout-size-height-md, 2.5rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n:host .cds--layout-constraint--size__default-md{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-md, 2.5rem));\n}\n:host .cds--layout-constraint--size__min-md{\n --cds-layout-size-height-min:var(--cds-layout-size-height-md, 2.5rem);\n}\n:host .cds--layout-constraint--size__max-md{\n --cds-layout-size-height-max:var(--cds-layout-size-height-md, 2.5rem);\n}\n:host .cds--layout--size-lg{\n --cds-layout-size-height-context:var(--cds-layout-size-height-lg, 3rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n:host .cds--layout-constraint--size__default-lg{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-lg, 3rem));\n}\n:host .cds--layout-constraint--size__min-lg{\n --cds-layout-size-height-min:var(--cds-layout-size-height-lg, 3rem);\n}\n:host .cds--layout-constraint--size__max-lg{\n --cds-layout-size-height-max:var(--cds-layout-size-height-lg, 3rem);\n}\n:host .cds--layout--size-xl{\n --cds-layout-size-height-context:var(--cds-layout-size-height-xl, 4rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n:host .cds--layout-constraint--size__default-xl{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-xl, 4rem));\n}\n:host .cds--layout-constraint--size__min-xl{\n --cds-layout-size-height-min:var(--cds-layout-size-height-xl, 4rem);\n}\n:host .cds--layout-constraint--size__max-xl{\n --cds-layout-size-height-max:var(--cds-layout-size-height-xl, 4rem);\n}\n:host .cds--layout--size-2xl{\n --cds-layout-size-height-context:var(--cds-layout-size-height-2xl, 5rem);\n --cds-layout-size-height:var(--cds-layout-size-height-context);\n}\n:host .cds--layout-constraint--size__default-2xl{\n --cds-layout-size-height:var(--cds-layout-size-height-context, var(--cds-layout-size-height-2xl, 5rem));\n}\n:host .cds--layout-constraint--size__min-2xl{\n --cds-layout-size-height-min:var(--cds-layout-size-height-2xl, 5rem);\n}\n:host .cds--layout-constraint--size__max-2xl{\n --cds-layout-size-height-max:var(--cds-layout-size-height-2xl, 5rem);\n}\n:host .cds--layout--density-condensed{\n --cds-layout-density-padding-inline-context:var(--cds-layout-density-padding-inline-condensed, 0.5rem);\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context);\n}\n:host .cds--layout-constraint--density__default-condensed{\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context, var(--cds-layout-density-padding-inline-condensed, 0.5rem));\n}\n:host .cds--layout-constraint--density__min-condensed{\n --cds-layout-density-padding-inline-min:var(--cds-layout-density-padding-inline-condensed, 0.5rem);\n}\n:host .cds--layout-constraint--density__max-condensed{\n --cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-condensed, 0.5rem);\n}\n:host .cds--layout--density-normal{\n --cds-layout-density-padding-inline-context:var(--cds-layout-density-padding-inline-normal, 1rem);\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context);\n}\n:host .cds--layout-constraint--density__default-normal{\n --cds-layout-density-padding-inline:var(--cds-layout-density-padding-inline-context, var(--cds-layout-density-padding-inline-normal, 1rem));\n}\n:host .cds--layout-constraint--density__min-normal{\n --cds-layout-density-padding-inline-min:var(--cds-layout-density-padding-inline-normal, 1rem);\n}\n:host .cds--layout-constraint--density__max-normal{\n --cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-normal, 1rem);\n}\n:host :root{\n --cds-layout-size-height-xs:1.5rem;\n --cds-layout-size-height-sm:2rem;\n --cds-layout-size-height-md:2.5rem;\n --cds-layout-size-height-lg:3rem;\n --cds-layout-size-height-xl:4rem;\n --cds-layout-size-height-2xl:5rem;\n --cds-layout-size-height-min:0px;\n --cds-layout-size-height-max:999999999px;\n --cds-layout-density-padding-inline-condensed:0.5rem;\n --cds-layout-density-padding-inline-normal:1rem;\n --cds-layout-density-padding-inline-min:0px;\n --cds-layout-density-padding-inline-max:999999999px;\n}\n:host{\n}\n:host :root{\n --cds-layer:var(--cds-layer-01, #f4f4f4);\n --cds-layer-active:var(--cds-layer-active-01, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-01, #ffffff);\n --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8);\n --cds-field:var(--cds-field-01, #f4f4f4);\n --cds-field-hover:var(--cds-field-hover-01, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-01, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-01, #c6c6c6);\n}\n:host .cds--layer-one{\n --cds-layer:var(--cds-layer-01, #f4f4f4);\n --cds-layer-active:var(--cds-layer-active-01, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-01, #ffffff);\n --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8);\n --cds-field:var(--cds-field-01, #f4f4f4);\n --cds-field-hover:var(--cds-field-hover-01, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-01, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-01, #c6c6c6);\n}\n:host .cds--layer-two{\n --cds-layer:var(--cds-layer-02, #ffffff);\n --cds-layer-active:var(--cds-layer-active-02, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-02, #f4f4f4);\n --cds-layer-hover:var(--cds-layer-hover-02, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-02, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-02, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-02, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-02, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-02, #a8a8a8);\n --cds-field:var(--cds-field-02, #ffffff);\n --cds-field-hover:var(--cds-field-hover-02, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-01, #c6c6c6);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-02, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-02, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-02, #a8a8a8);\n}\n:host .cds--layer-three{\n --cds-layer:var(--cds-layer-03, #f4f4f4);\n --cds-layer-active:var(--cds-layer-active-03, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-03, #ffffff);\n --cds-layer-hover:var(--cds-layer-hover-03, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-03, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-03, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-03, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-03, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-03, #a8a8a8);\n --cds-field:var(--cds-field-03, #f4f4f4);\n --cds-field-hover:var(--cds-field-hover-03, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-02, #e0e0e0);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-03, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-03, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-03, #c6c6c6);\n}\n:host .cds--layer-one.cds--layer__with-background{\n background-color:var(--cds-layer-background);\n}\n:host .cds--layer-two.cds--layer__with-background{\n background-color:var(--cds-layer-background);\n}\n:host .cds--layer-three.cds--layer__with-background{\n background-color:var(--cds-layer-background);\n}\n@keyframes cds--hide-feedback{\n 0%{\n opacity:1;\n visibility:inherit;\n }\n 100%{\n opacity:0;\n visibility:hidden;\n }\n}\n@keyframes cds--show-feedback{\n 0%{\n opacity:0;\n visibility:hidden;\n }\n 100%{\n opacity:1;\n visibility:inherit;\n }\n}\n@keyframes cds--skeleton{\n 0%{\n opacity:0.3;\n transform:scaleX(0);\n transform-origin:left;\n }\n 20%{\n opacity:1;\n transform:scaleX(1);\n transform-origin:left;\n }\n 28%{\n transform:scaleX(1);\n transform-origin:right;\n }\n 51%{\n transform:scaleX(0);\n transform-origin:right;\n }\n 58%{\n transform:scaleX(0);\n transform-origin:right;\n }\n 82%{\n transform:scaleX(1);\n transform-origin:right;\n }\n 83%{\n transform:scaleX(1);\n transform-origin:left;\n }\n 96%{\n transform:scaleX(0);\n transform-origin:left;\n }\n 100%{\n opacity:0.3;\n transform:scaleX(0);\n transform-origin:left;\n }\n}\n:host{\n}\n:host .cds--assistive-text,\n:host .cds--visually-hidden{\n position:absolute;\n overflow:hidden;\n padding:0;\n border:0;\n margin:-1px;\n block-size:1px;\n clip:rect(0, 0, 0, 0);\n inline-size:1px;\n visibility:inherit;\n white-space:nowrap;\n}\n:host .cds--popover-container{\n display:inline-block;\n}\n:host .cds--popover-container:not(.cds--popover--auto-align){\n position:relative;\n}\n:host .cds--popover--high-contrast .cds--popover{\n --cds-popover-background-color:var(--cds-background-inverse, #393939);\n --cds-popover-text-color:var(--cds-text-inverse, #ffffff);\n}\n:host .cds--popover--drop-shadow .cds--popover{\n filter:var(--cds-popover-drop-shadow, drop-shadow(0 0.125rem 0.125rem rgba(0, 0, 0, 0.2)));\n}\n:host .cds--popover--border > .cds--popover > .cds--popover-content{\n outline:1px solid var(--cds-popover-border-color, var(--cds-border-subtle));\n outline-offset:-1px;\n}\n:host .cds--popover--caret{\n --cds-popover-offset:0.625rem;\n}\n:host .cds--popover{\n position:absolute;\n z-index:6000;\n inset:0;\n pointer-events:none;\n}\n:host .cds--popover-content{\n --cds-layout-size-height-sm:2rem;\n}\n:host .cds--popover-content.cds--layout--size-sm, :host .cds--layout--size-sm :where(.cds--popover-content){\n --cds-layout-size-height:var(--cds-layout-size-height-sm);\n}\n:host .cds--popover-content{\n --cds-layout-size-height-md:2.5rem;\n}\n:host .cds--popover-content.cds--layout--size-md, :host .cds--layout--size-md :where(.cds--popover-content){\n --cds-layout-size-height:var(--cds-layout-size-height-md);\n}\n:host .cds--popover-content{\n --cds-layout-size-height-lg:3rem;\n}\n:host .cds--popover-content.cds--layout--size-lg, :host .cds--layout--size-lg :where(.cds--popover-content){\n --cds-layout-size-height:var(--cds-layout-size-height-lg);\n}\n:host .cds--popover-content{\n box-sizing:border-box;\n padding:0;\n border:0;\n margin:0;\n font-family:inherit;\n font-size:100%;\n vertical-align:baseline;\n}\n:host .cds--popover-content *,\n:host .cds--popover-content *::before,\n:host .cds--popover-content *::after{\n box-sizing:inherit;\n}\n:host .cds--popover-content{\n position:absolute;\n z-index:6000;\n display:none;\n border-radius:var(--cds-popover-border-radius, 2px);\n background-color:var(--cds-popover-background-color, var(--cds-layer));\n color:var(--cds-popover-text-color, var(--cds-text-primary, #161616));\n inline-size:-moz-max-content;\n inline-size:max-content;\n max-inline-size:23rem;\n pointer-events:auto;\n}\n:host .cds--popover--open > .cds--popover > .cds--popover-content{\n display:block;\n}\n:host .cds--popover--background-token__background > .cds--popover > .cds--popover-content{\n background-color:var(--cds-background, #ffffff);\n}\n:host .cds--popover-content::before{\n position:absolute;\n display:none;\n content:\"\";\n}\n:host .cds--popover--open > .cds--popover > .cds--popover-content::before{\n display:block;\n}\n:host .cds--popover-caret,\n:host .cds--popover--auto-align.cds--popover-caret{\n position:absolute;\n z-index:6000;\n display:none;\n will-change:transform;\n}\n:host .cds--popover-caret::after,\n:host .cds--popover--auto-align.cds--popover-caret::after{\n position:absolute;\n display:block;\n background-color:var(--cds-popover-background-color, var(--cds-layer));\n content:\"\";\n}\n:host .cds--popover-caret::before,\n:host .cds--popover--auto-align.cds--popover-caret::before{\n position:absolute;\n display:none;\n background-color:var(--cds-popover-border-color, var(--cds-border-subtle));\n content:\"\";\n}\n:host .cds--popover--background-token__background > .cds--popover > .cds--popover-caret::after{\n background-color:var(--cds-background, #ffffff);\n}\n:host .cds--popover--border .cds--popover-caret::before,\n:host .cds--popover--border .cds--popover--auto-align.cds--popover-caret::before{\n display:block;\n}\n:host .cds--popover--caret.cds--popover--open > .cds--popover > .cds--popover-caret{\n display:block;\n}\n:host .cds--popover--auto-align.cds--popover--caret.cds--popover--open > .cds--popover > .cds--popover-content > .cds--popover-caret{\n display:block;\n}\n:host .cds--popover--tab-tip > .cds--popover > .cds--popover-caret{\n display:none;\n}\n:host .cds--popover--bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-end:0;\n inset-inline-start:50%;\n transform:translate(-50%, calc(100% + var(--cds-popover-offset, 0rem)));\n}\n:host [dir=rtl] .cds--popover--bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n transform:translate(50%, calc(100% + var(--cds-popover-offset, 0rem)));\n}\n:host .cds--popover--bottom-left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--bottom-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-end:0;\n inset-inline-start:calc(50% - var(--cds-popover-offset, 0rem));\n transform:translate(calc(-1 * var(--cds-popover-offset, 0rem)), calc(100% + var(--cds-popover-offset, 0rem)));\n}\n:host [dir=rtl] .cds--popover--bottom-left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--bottom-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-end:calc(50% - var(--cds-popover-offset, 0rem));\n inset-inline-start:initial;\n}\n:host .cds--popover--bottom-right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--bottom-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-end:0;\n inset-inline-end:calc(50% - var(--cds-popover-offset, 0rem));\n transform:translate(var(--cds-popover-offset, 0rem), calc(100% + var(--cds-popover-offset, 0rem)));\n}\n:host [dir=rtl] .cds--popover--bottom-right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--bottom-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-start:calc(50% - var(--cds-popover-offset, 0rem));\n}\n:host .cds--popover--bottom > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--bottom-left > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--bottom-start > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--bottom-right > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--bottom-end > .cds--popover > .cds--popover-content::before{\n block-size:var(--cds-popover-offset, 0rem);\n inset-block-start:0;\n inset-inline:0;\n transform:translateY(-100%);\n}\n:host .cds--popover--bottom > .cds--popover > .cds--popover-caret,\n:host .cds--popover--bottom-left > .cds--popover > .cds--popover-caret,\n:host .cds--popover--bottom-start > .cds--popover > .cds--popover-caret,\n:host .cds--popover--bottom-right > .cds--popover > .cds--popover-caret,\n:host .cds--popover--bottom-end > .cds--popover > .cds--popover-caret{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n inset-block-end:0;\n inset-inline-start:50%;\n transform:translate(-50%, var(--cds-popover-offset, 0rem));\n}\n:host .cds--popover--bottom > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--bottom-left > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--bottom-start > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--bottom-right > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--bottom-end > .cds--popover > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 100%, 50% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--bottom > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-left > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-start > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-right > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-end > .cds--popover > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 100%, 50% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--bottom > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-left > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-start > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-right > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-end > .cds--popover > .cds--popover-caret::after{\n inline-size:calc(var(--cds-popover-caret-width, 0.75rem) - 1px);\n inset-block-start:1px;\n inset-inline-start:0.5px;\n}\n:host [dir=rtl] .cds--popover--bottom > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--bottom-left > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--bottom-start > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--bottom-right > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--bottom-end > .cds--popover > .cds--popover-caret{\n transform:translate(50%, var(--cds-popover-offset, 0rem));\n}\n:host .cds--popover--bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--bottom-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--bottom-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--bottom-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--bottom-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--bottom-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--bottom-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--bottom-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--bottom-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 100%, 50% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--bottom-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 100%, 50% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--bottom-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n inline-size:calc(var(--cds-popover-caret-width, 0.75rem) - 1px);\n inset-block-start:1px;\n inset-inline-start:0.5px;\n}\n:host .cds--popover--top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:0;\n inset-inline-start:50%;\n transform:translate(-50%, calc(-100% - var(--cds-popover-offset, 0rem)));\n}\n:host [dir=rtl] .cds--popover--top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n transform:translate(50%, calc(-100% - var(--cds-popover-offset, 0rem)));\n}\n:host .cds--popover--top-left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--top-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:0;\n inset-inline-start:calc(50% - var(--cds-popover-offset, 0rem));\n transform:translate(calc(-1 * var(--cds-popover-offset, 0rem)), calc(-100% - var(--cds-popover-offset, 0rem)));\n}\n:host [dir=rtl] .cds--popover--top-left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--top-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-end:calc(50% - var(--cds-popover-offset, 0rem));\n inset-inline-start:initial;\n}\n:host .cds--popover--top-right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--top-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:0;\n inset-inline-end:calc(50% - var(--cds-popover-offset, 0rem));\n transform:translate(var(--cds-popover-offset, 0rem), calc(-100% - var(--cds-popover-offset, 0rem)));\n}\n:host [dir=rtl] .cds--popover--top-right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--top-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-start:calc(50% - var(--cds-popover-offset, 0rem));\n}\n:host .cds--popover--top > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--top-left > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--top-start > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--top-right > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--top-end > .cds--popover > .cds--popover-content::before{\n block-size:var(--cds-popover-offset, 0rem);\n inset-block-end:0;\n inset-inline:0;\n transform:translateY(100%);\n}\n:host .cds--popover--top > .cds--popover > .cds--popover-caret,\n:host .cds--popover--top-left > .cds--popover > .cds--popover-caret,\n:host .cds--popover--top-start > .cds--popover > .cds--popover-caret,\n:host .cds--popover--top-right > .cds--popover > .cds--popover-caret,\n:host .cds--popover--top-end > .cds--popover > .cds--popover-caret{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n inset-block-start:0;\n inset-inline-start:50%;\n transform:translate(-50%, calc(-1 * var(--cds-popover-offset, 0rem)));\n}\n:host .cds--popover--top > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--top-left > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--top-start > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--top-right > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--top-end > .cds--popover > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 0%, 50% 100%, 100% 0%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--top > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-left > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-start > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-right > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-end > .cds--popover > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 0%, 50% 100%, 100% 0%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--top > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-left > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-start > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-right > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-end > .cds--popover > .cds--popover-caret::after{\n inline-size:calc(var(--cds-popover-caret-width, 0.75rem) - 1px);\n inset-block-start:-1px;\n inset-inline-start:0.5px;\n}\n:host [dir=rtl] .cds--popover--top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--top-left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--top-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--top-right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--top-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret{\n transform:translate(50%, calc(-1 * var(--cds-popover-offset, 0rem)));\n}\n:host .cds--popover--top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--top-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--top-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--top-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--top-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--top-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--top-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--top-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--top-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 0%, 50% 100%, 100% 0%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--top-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-height, 0.375rem);\n clip-path:polygon(0% 0%, 50% 100%, 100% 0%);\n inline-size:var(--cds-popover-caret-width, 0.75rem);\n}\n:host .cds--popover--border.cds--popover--top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--top-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n inline-size:calc(var(--cds-popover-caret-width, 0.75rem) - 1px);\n inset-block-start:-1px;\n inset-inline-start:0.5px;\n}\n:host .cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:50%;\n inset-inline-start:100%;\n transform:translate(var(--cds-popover-offset, 0rem), -50%);\n}\n:host .cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:50%;\n inset-inline-start:100%;\n transform:translate(var(--cds-popover-offset, 0rem), calc(0.5 * var(--cds-popover-offset, 0rem) * -1 - 16px));\n}\n:host .cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-end:50%;\n inset-inline-start:100%;\n transform:translate(var(--cds-popover-offset, 0rem), calc(0.5 * var(--cds-popover-offset, 0rem) + 16px));\n}\n:host [dir=rtl] .cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-end:100%;\n inset-inline-start:initial;\n}\n:host .cds--popover--right > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--right-top > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--right-start > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--right-bottom > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--right-end > .cds--popover > .cds--popover-content::before{\n inline-size:var(--cds-popover-offset, 0rem);\n inset-block:0;\n inset-inline-start:0;\n transform:translateX(-100%);\n}\n:host .cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n inset-block-start:50%;\n inset-inline-start:100%;\n transform:translate(calc(var(--cds-popover-offset, 0rem) - 100%), -50%);\n}\n:host .cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 50%, 100% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host [dir=rtl] .cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret{\n inset-inline-end:100%;\n inset-inline-start:initial;\n}\n:host .cds--popover--border.cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 50%, 100% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--border.cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after{\n inset-inline-start:1px;\n}\n:host [dir=rtl] .cds--popover--border.cds--popover--right:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after{\n inset-inline-start:-1px;\n}\n:host .cds--popover--right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--right-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--right-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--right-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--right-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--right-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--right-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--right-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--right-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 50%, 100% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--border.cds--popover--right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--right-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 50%, 100% 0%, 100% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--border.cds--popover--right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--right-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n inset-inline-start:1px;\n}\n:host [dir=rtl] .cds--popover--border.cds--popover--right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before{\n margin-inline-start:1px;\n}\n:host [dir=rtl] .cds--popover--border.cds--popover--right.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--right-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n inset-inline-start:0;\n}\n:host .cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:50%;\n inset-inline-end:100%;\n transform:translate(calc(-1 * var(--cds-popover-offset, 0rem) + 0.1px), -50%);\n}\n:host .cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-start:50%;\n inset-inline-end:100%;\n transform:translate(calc(-1 * var(--cds-popover-offset, 0rem)), calc(-0.5 * var(--cds-popover-offset, 0rem) - 16px));\n}\n:host .cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-block-end:50%;\n inset-inline-end:100%;\n transform:translate(calc(-1 * var(--cds-popover-offset, 0rem)), calc(0.5 * var(--cds-popover-offset, 0rem) + 16px));\n}\n:host [dir=rtl] .cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-end:initial;\n inset-inline-start:100%;\n}\n:host .cds--popover--left > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--left-top > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--left-start > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--left-bottom > .cds--popover > .cds--popover-content::before,\n:host .cds--popover--left-end > .cds--popover > .cds--popover-content::before{\n inline-size:var(--cds-popover-offset, 0rem);\n inset-block:0;\n inset-inline-end:0;\n transform:translateX(100%);\n}\n:host .cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host .cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n inset-block-start:50%;\n inset-inline-end:100%;\n transform:translate(calc(-1 * var(--cds-popover-offset, 0rem) + 100%), -50%);\n}\n:host .cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 0%, 100% 50%, 0% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host [dir=rtl] .cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret,\n:host [dir=rtl] .cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret{\n inset-inline-end:initial;\n inset-inline-start:100%;\n}\n:host .cds--popover--border.cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 0%, 100% 50%, 0% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--border.cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after{\n inset-inline-start:-1px;\n}\n:host [dir=rtl] .cds--popover--border.cds--popover--left:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-top:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-bottom:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-caret::after{\n inset-inline-start:1px;\n}\n:host .cds--popover--left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--left-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--left-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--left-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret,\n:host .cds--popover--left-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--left-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--left-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--left-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--left-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 0%, 100% 50%, 0% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--border.cds--popover--left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host .cds--popover--border.cds--popover--left-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before{\n block-size:var(--cds-popover-caret-width, 0.75rem);\n clip-path:polygon(0% 0%, 100% 50%, 0% 100%);\n inline-size:var(--cds-popover-caret-height, 0.375rem);\n}\n:host .cds--popover--border.cds--popover--left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host .cds--popover--border.cds--popover--left-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n inset-inline-start:-1px;\n}\n:host [dir=rtl] .cds--popover--border.cds--popover--left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::before{\n margin-inline-start:-1px;\n}\n:host [dir=rtl] .cds--popover--border.cds--popover--left.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-top.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-start.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-bottom.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after,\n:host [dir=rtl] .cds--popover--border.cds--popover--left-end.cds--popover--auto-align > .cds--popover > .cds--popover-content > .cds--popover-caret::after{\n inset-inline-start:0;\n}\n:host .cds--popover--tab-tip > .cds--popover > .cds--popover-content{\n border-radius:0;\n}\n:host .cds--popover--tab-tip.cds--popover--top-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--tab-tip.cds--popover--bottom-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--tab-tip.cds--popover--top-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--tab-tip.cds--popover--bottom-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-start:0;\n}\n:host .cds--popover--tab-tip.cds--popover--top-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host .cds--popover--tab-tip.cds--popover--bottom-end:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--tab-tip.cds--popover--top-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content,\n:host [dir=rtl] .cds--popover--tab-tip.cds--popover--bottom-start:not(.cds--popover--auto-align) > .cds--popover > .cds--popover-content{\n inset-inline-end:0;\n inset-inline-start:initial;\n}\n:host .cds--popover--tab-tip .cds--popover{\n will-change:filter;\n}\n:host .cds--popover--tab-tip__button{\n display:inline-block;\n padding:0;\n border:0;\n -webkit-appearance:none;\n -moz-appearance:none;\n appearance:none;\n background:none;\n cursor:pointer;\n text-align:start;\n inline-size:100%;\n box-sizing:border-box;\n padding:0;\n border:0;\n margin:0;\n font-family:inherit;\n font-size:100%;\n vertical-align:baseline;\n}\n:host .cds--popover--tab-tip__button *,\n:host .cds--popover--tab-tip__button *::before,\n:host .cds--popover--tab-tip__button *::after{\n box-sizing:inherit;\n}\n:host .cds--popover--tab-tip__button::-moz-focus-inner{\n border:0;\n}\n:host .cds--popover--tab-tip__button{\n position:relative;\n display:inline-flex;\n align-items:center;\n justify-content:center;\n block-size:2rem;\n inline-size:2rem;\n}\n:host .cds--popover--tab-tip__button:focus{\n outline:2px solid var(--cds-focus, #0f62fe);\n outline-offset:-2px;\n}\n@media screen and (prefers-contrast){\n :host .cds--popover--tab-tip__button:focus{\n outline-style:dotted;\n }\n}\n:host .cds--popover--tab-tip__button:hover{\n background-color:var(--cds-layer-hover);\n}\n:host .cds--popover--tab-tip.cds--popover--open .cds--popover--tab-tip__button{\n background:var(--cds-layer);\n box-shadow:0 2px 2px rgba(0, 0, 0, 0.2);\n}\n:host .cds--popover--tab-tip.cds--popover--open .cds--popover--tab-tip__button:not(:focus)::after{\n position:absolute;\n z-index:6001;\n background:var(--cds-layer);\n block-size:2px;\n content:\"\";\n inline-size:100%;\n inset-block-end:0;\n}\n:host .cds--popover--tab-tip__button svg{\n fill:var(--cds-icon-primary, #161616);\n}\n:host .cds--tooltip{\n --cds-popover-offset:12px;\n}\n:host .cds--tooltip-content{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n padding:var(--cds-tooltip-padding-block, 1rem) var(--cds-tooltip-padding-inline, 1rem);\n max-inline-size:18rem;\n overflow-wrap:break-word;\n}\n:host .cds--icon-tooltip{\n --cds-tooltip-padding-block:0.125rem;\n --cds-popover-caret-width:0.5rem;\n --cds-popover-caret-height:0.25rem;\n --cds-popover-offset:0.5rem;\n}\n:host .cds--icon-tooltip .cds--tooltip-content{\n font-size:var(--cds-body-compact-01-font-size, 0.875rem);\n font-weight:var(--cds-body-compact-01-font-weight, 400);\n line-height:var(--cds-body-compact-01-line-height, 1.28572);\n letter-spacing:var(--cds-body-compact-01-letter-spacing, 0.16px);\n}\n:host .cds--definition-term{\n display:inline-block;\n padding:0;\n border:0;\n -webkit-appearance:none;\n -moz-appearance:none;\n appearance:none;\n background:none;\n cursor:pointer;\n text-align:start;\n inline-size:100%;\n box-sizing:border-box;\n padding:0;\n border:0;\n margin:0;\n font-family:inherit;\n font-size:100%;\n vertical-align:baseline;\n}\n:host .cds--definition-term *,\n:host .cds--definition-term *::before,\n:host .cds--definition-term *::after{\n box-sizing:inherit;\n}\n:host .cds--definition-term::-moz-focus-inner{\n border:0;\n}\n:host .cds--definition-term{\n border-radius:0;\n border-block-end:1px dotted var(--cds-border-strong);\n color:var(--cds-text-primary, #161616);\n}\n:host .cds--definition-term:focus{\n outline:1px solid var(--cds-focus, #0f62fe);\n}\n@media screen and (prefers-contrast){\n :host .cds--definition-term:focus{\n outline-style:dotted;\n }\n}\n:host .cds--definition-term:focus{\n border-block-end-color:var(--cds-border-interactive, #0f62fe);\n}\n:host .cds--definition-term:hover{\n border-block-end-color:var(--cds-border-interactive, #0f62fe);\n}\n:host .cds--definition-tooltip{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n padding:0.5rem 1rem;\n max-inline-size:11rem;\n text-wrap:auto;\n word-break:break-word;\n}\n:host{\n}\n:host .cds--btn{\n --cds-layout-size-height-local:clamp(max(var(--cds-layout-size-height-min), var(--cds-layout-size-height-xs)), var(--cds-layout-size-height, var(--cds-layout-size-height-lg)), min(var(--cds-layout-size-height-max), var(--cds-layout-size-height-2xl)));\n --cds-layout-density-padding-inline-local:clamp(var(--cds-layout-density-padding-inline-min), var(--cds-layout-density-padding-inline, var(--cds-layout-density-padding-inline-normal)), var(--cds-layout-density-padding-inline-max));\n --temp-1lh:(\n var(--cds-body-compact-01-line-height, 1.28572) * 1em\n );\n --temp-expressive-1lh:(\n var(--cds-body-compact-02-line-height, 1.375) * 1em\n );\n --temp-padding-block-max:calc(\n (var(--cds-layout-size-height-lg) - var(--temp-1lh)) / 2 -\n 0.0625rem\n );\n box-sizing:border-box;\n padding:0;\n border:0;\n margin:0;\n font-family:inherit;\n font-size:100%;\n vertical-align:baseline;\n}\n:host .cds--btn *,\n:host .cds--btn *::before,\n:host .cds--btn *::after{\n box-sizing:inherit;\n}\n:host .cds--btn{\n font-size:var(--cds-body-compact-01-font-size, 0.875rem);\n font-weight:var(--cds-body-compact-01-font-weight, 400);\n line-height:var(--cds-body-compact-01-line-height, 1.28572);\n letter-spacing:var(--cds-body-compact-01-letter-spacing, 0.16px);\n position:relative;\n display:inline-flex;\n flex-shrink:0;\n justify-content:space-between;\n border-radius:0;\n margin:0;\n cursor:pointer;\n inline-size:-moz-max-content;\n inline-size:max-content;\n max-inline-size:20rem;\n min-block-size:var(--cds-layout-size-height-local);\n outline:none;\n padding-block:min((var(--cds-layout-size-height-local) - var(--temp-1lh)) / 2 - 0.0625rem, var(--temp-padding-block-max));\n padding-inline:calc(var(--cds-layout-density-padding-inline-local) - 0.0625rem) calc(var(--cds-layout-density-padding-inline-local) * 3 + 1rem - 0.0625rem);\n text-align:start;\n text-decoration:none;\n transition:background 70ms cubic-bezier(0, 0, 0.38, 0.9), box-shadow 70ms cubic-bezier(0, 0, 0.38, 0.9), border-color 70ms cubic-bezier(0, 0, 0.38, 0.9), outline 70ms cubic-bezier(0, 0, 0.38, 0.9);\n vertical-align:top;\n}\n:host .cds--btn:disabled, :host .cds--btn:hover:disabled, :host .cds--btn:focus:disabled, :host .cds--btn.cds--btn--disabled, :host .cds--btn.cds--btn--disabled:hover, :host .cds--btn.cds--btn--disabled:focus{\n border-color:var(--cds-button-disabled, #c6c6c6);\n background:var(--cds-button-disabled, #c6c6c6);\n box-shadow:none;\n color:var(--cds-text-on-color-disabled, #8d8d8d);\n cursor:not-allowed;\n}\n:host .cds--btn .cds--btn__icon{\n position:absolute;\n flex-shrink:0;\n block-size:1rem;\n inline-size:1rem;\n inset-block-start:min((var(--cds-layout-size-height-local) - 1rem) / 2 - 0.0625rem, var(--temp-padding-block-max));\n inset-inline-end:var(--cds-layout-density-padding-inline-local);\n margin-block-start:0.0625rem;\n}\n:host .cds--btn::-moz-focus-inner{\n padding:0;\n border:0;\n}\n:host .cds--btn--primary{\n border-width:1px;\n border-style:solid;\n border-color:transparent;\n background-color:var(--cds-button-primary, #0f62fe);\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--primary:hover{\n background-color:var(--cds-button-primary-hover, #0050e6);\n}\n:host .cds--btn--primary:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--primary:active{\n background-color:var(--cds-button-primary-active, #002d9c);\n}\n:host .cds--btn--primary .cds--btn__icon,\n:host .cds--btn--primary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--primary:hover{\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--secondary{\n border-width:1px;\n border-style:solid;\n border-color:transparent;\n background-color:var(--cds-button-secondary, #393939);\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--secondary:hover{\n background-color:var(--cds-button-secondary-hover, #474747);\n}\n:host .cds--btn--secondary:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--secondary:active{\n background-color:var(--cds-button-secondary-active, #6f6f6f);\n}\n:host .cds--btn--secondary .cds--btn__icon,\n:host .cds--btn--secondary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--secondary:hover, :host .cds--btn--secondary:focus{\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--tertiary{\n border-width:1px;\n border-style:solid;\n border-color:var(--cds-button-tertiary, #0f62fe);\n background-color:transparent;\n color:var(--cds-button-tertiary, #0f62fe);\n}\n:host .cds--btn--tertiary:hover{\n background-color:var(--cds-button-tertiary-hover, #0050e6);\n}\n:host .cds--btn--tertiary:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--tertiary:active{\n background-color:var(--cds-button-tertiary-active, #002d9c);\n}\n:host .cds--btn--tertiary .cds--btn__icon,\n:host .cds--btn--tertiary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--tertiary:hover{\n color:var(--cds-text-inverse, #ffffff);\n}\n:host .cds--btn--tertiary:focus{\n background-color:var(--cds-button-tertiary, #0f62fe);\n color:var(--cds-text-inverse, #ffffff);\n}\n:host .cds--btn--tertiary:active{\n border-color:transparent;\n background-color:var(--cds-button-tertiary-active, #002d9c);\n color:var(--cds-text-inverse, #ffffff);\n}\n:host .cds--btn--tertiary:disabled, :host .cds--btn--tertiary:hover:disabled, :host .cds--btn--tertiary:focus:disabled, :host .cds--btn--tertiary.cds--btn--disabled, :host .cds--btn--tertiary.cds--btn--disabled:hover, :host .cds--btn--tertiary.cds--btn--disabled:focus{\n background:transparent;\n color:var(--cds-text-disabled, rgba(22, 22, 22, 0.25));\n outline:none;\n}\n:host .cds--btn--ghost{\n border-width:1px;\n border-style:solid;\n border-color:transparent;\n background-color:transparent;\n color:var(--cds-link-primary, #0f62fe);\n}\n:host .cds--btn--ghost:hover{\n background-color:var(--cds-background-hover, rgba(141, 141, 141, 0.12));\n}\n:host .cds--btn--ghost:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--ghost:active{\n background-color:var(--cds-background-active, rgba(141, 141, 141, 0.5));\n}\n:host .cds--btn--ghost .cds--btn__icon,\n:host .cds--btn--ghost .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--ghost{\n padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - 0.0625rem);\n}\n:host .cds--btn--ghost .cds--btn__icon{\n position:static;\n align-self:center;\n margin-inline-start:0.5rem;\n}\n:host .cds--btn--ghost:hover, :host .cds--btn--ghost:active{\n color:var(--cds-link-primary-hover, #0043ce);\n}\n:host .cds--btn--ghost:active{\n background-color:var(--cds-background-active, rgba(141, 141, 141, 0.5));\n}\n:host .cds--btn--ghost:disabled, :host .cds--btn--ghost:hover:disabled, :host .cds--btn--ghost:focus:disabled, :host .cds--btn--ghost.cds--btn--disabled, :host .cds--btn--ghost.cds--btn--disabled:hover, :host .cds--btn--ghost.cds--btn--disabled:focus{\n border-color:transparent;\n background:transparent;\n color:var(--cds-text-disabled, rgba(22, 22, 22, 0.25));\n outline:none;\n}\n:host .cds--btn--ghost:not([disabled]) svg{\n fill:var(--cds-icon-primary, #161616);\n}\n:host .cds--btn--icon-only{\n align-items:center;\n justify-content:center;\n padding:0;\n block-size:var(--cds-layout-size-height-local);\n inline-size:var(--cds-layout-size-height-local);\n padding-block-start:0;\n}\n:host .cds--btn--icon-only > :first-child{\n min-inline-size:1rem;\n}\n:host .cds--btn--icon-only .cds--btn__icon{\n position:static;\n}\n:host .cds--btn--icon-only.cds--btn--ghost .cds--btn__icon, :host .cds--btn--icon-only.cds--btn--danger--ghost .cds--btn__icon{\n margin:0;\n}\n:host .cds--btn--icon-only.cds--btn--danger--ghost{\n padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - 1rem);\n}\n:host .cds--btn--xs:not(.cds--btn--icon-only){\n padding-block-start:1.5px;\n}\n:host .cds--btn--xs:not(.cds--btn--icon-only) .cds--btn__icon,\n:host .cds--btn--sm:not(.cds--btn--icon-only) .cds--btn__icon,\n:host .cds--btn--md:not(.cds--btn--icon-only) .cds--btn__icon{\n margin-block-start:0;\n}\n:host .cds--btn--icon-only.cds--btn--selected{\n background:var(--cds-background-selected, rgba(141, 141, 141, 0.2));\n}\n:host .cds--btn path[data-icon-path=inner-path]{\n fill:none;\n}\n:host .cds--btn--ghost.cds--btn--icon-only .cds--btn__icon path:not([data-icon-path]):not([fill=none]),\n:host .cds--btn--ghost.cds--btn--icon-only .cds--btn__icon{\n fill:var(--cds-icon-primary, #161616);\n}\n:host .cds--btn--ghost.cds--btn--icon-only[disabled] .cds--btn__icon path:not([data-icon-path]):not([fill=none]),\n:host .cds--btn--ghost.cds--btn--icon-only[disabled] .cds--btn__icon,\n:host .cds--btn.cds--btn--icon-only.cds--btn--ghost[disabled]:hover .cds--btn__icon{\n fill:var(--cds-icon-on-color-disabled, #8d8d8d);\n}\n:host .cds--btn--ghost.cds--btn--icon-only[disabled]{\n cursor:not-allowed;\n}\n:host .cds--icon-tooltip--disabled .cds--tooltip-trigger__wrapper{\n cursor:not-allowed;\n}\n:host .cds--icon-tooltip--disabled .cds--btn--icon-only[disabled]{\n pointer-events:none;\n}\n:host .cds--btn--danger{\n border-width:1px;\n border-style:solid;\n border-color:transparent;\n background-color:var(--cds-button-danger-primary, #da1e28);\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--danger:hover{\n background-color:var(--cds-button-danger-hover, #b81921);\n}\n:host .cds--btn--danger:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--danger:active{\n background-color:var(--cds-button-danger-active, #750e13);\n}\n:host .cds--btn--danger .cds--btn__icon,\n:host .cds--btn--danger .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--danger:hover{\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--danger--tertiary{\n border-width:1px;\n border-style:solid;\n border-color:var(--cds-button-danger-secondary, #da1e28);\n background-color:transparent;\n color:var(--cds-button-danger-secondary, #da1e28);\n}\n:host .cds--btn--danger--tertiary:hover{\n background-color:var(--cds-button-danger-hover, #b81921);\n}\n:host .cds--btn--danger--tertiary:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--danger--tertiary:active{\n background-color:var(--cds-button-danger-active, #750e13);\n}\n:host .cds--btn--danger--tertiary .cds--btn__icon,\n:host .cds--btn--danger--tertiary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--danger--tertiary:hover{\n border-color:var(--cds-button-danger-hover, #b81921);\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--danger--tertiary:focus{\n background-color:var(--cds-button-danger-primary, #da1e28);\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--danger--tertiary:active{\n border-color:var(--cds-button-danger-active, #750e13);\n background-color:var(--cds-button-danger-active, #750e13);\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--danger--tertiary:disabled, :host .cds--btn--danger--tertiary:hover:disabled, :host .cds--btn--danger--tertiary:focus:disabled, :host .cds--btn--danger--tertiary.cds--btn--disabled, :host .cds--btn--danger--tertiary.cds--btn--disabled:hover, :host .cds--btn--danger--tertiary.cds--btn--disabled:focus{\n background:transparent;\n color:var(--cds-text-disabled, rgba(22, 22, 22, 0.25));\n outline:none;\n}\n:host .cds--btn--danger--ghost{\n border-width:1px;\n border-style:solid;\n border-color:transparent;\n background-color:transparent;\n color:var(--cds-button-danger-secondary, #da1e28);\n}\n:host .cds--btn--danger--ghost:hover{\n background-color:var(--cds-button-danger-hover, #b81921);\n}\n:host .cds--btn--danger--ghost:focus{\n border-color:var(--cds-button-focus-color, var(--cds-focus, #0f62fe));\n box-shadow:inset 0 0 0 1px var(--cds-button-focus-color, var(--cds-focus, #0f62fe)), inset 0 0 0 2px var(--cds-background, #ffffff);\n}\n:host .cds--btn--danger--ghost:active{\n background-color:var(--cds-button-danger-active, #750e13);\n}\n:host .cds--btn--danger--ghost .cds--btn__icon,\n:host .cds--btn--danger--ghost .cds--btn__icon path:not([data-icon-path]):not([fill=none]){\n fill:currentColor;\n}\n:host .cds--btn--danger--ghost{\n padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - 0.0625rem);\n}\n:host .cds--btn--danger--ghost .cds--btn__icon{\n position:static;\n margin-inline-start:0.5rem;\n}\n:host .cds--btn--danger--ghost:hover, :host .cds--btn--danger--ghost:active{\n color:var(--cds-text-on-color, #ffffff);\n}\n:host .cds--btn--danger--ghost:disabled, :host .cds--btn--danger--ghost:hover:disabled, :host .cds--btn--danger--ghost:focus:disabled, :host .cds--btn--danger--ghost.cds--btn--disabled, :host .cds--btn--danger--ghost.cds--btn--disabled:hover, :host .cds--btn--danger--ghost.cds--btn--disabled:focus{\n border-color:transparent;\n background:transparent;\n color:var(--cds-text-disabled, rgba(22, 22, 22, 0.25));\n outline:none;\n}\n:host .cds--btn--expressive{\n font-size:var(--cds-body-compact-02-font-size, 1rem);\n font-weight:var(--cds-body-compact-02-font-weight, 400);\n line-height:var(--cds-body-compact-02-line-height, 1.375);\n letter-spacing:var(--cds-body-compact-02-letter-spacing, 0);\n padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh)) / 2 - 0.0625rem, var(--temp-padding-block-max));\n}\n:host .cds--btn--icon-only.cds--btn--expressive{\n padding:12px 13px;\n}\n:host .cds--btn.cds--btn--expressive .cds--btn__icon{\n block-size:1.25rem;\n inline-size:1.25rem;\n}\n:host .cds--btn-set .cds--btn.cds--btn--expressive{\n max-inline-size:20rem;\n}\n:host .cds--btn.cds--skeleton{\n position:relative;\n padding:0;\n border:none;\n background:var(--cds-skeleton-background, #e8e8e8);\n box-shadow:none;\n pointer-events:none;\n}\n:host .cds--btn.cds--skeleton:hover, :host .cds--btn.cds--skeleton:focus, :host .cds--btn.cds--skeleton:active{\n border:none;\n cursor:default;\n outline:none;\n}\n:host .cds--btn.cds--skeleton::before{\n position:absolute;\n animation:3000ms ease-in-out cds--skeleton infinite;\n background:var(--cds-skeleton-element, #c6c6c6);\n block-size:100%;\n content:\"\";\n inline-size:100%;\n inset-inline-start:0;\n will-change:transform-origin, transform, opacity;\n}\n@media (prefers-reduced-motion: reduce){\n :host .cds--btn.cds--skeleton::before{\n animation:none;\n }\n}\n@media screen and (-ms-high-contrast: active), (forced-colors: active){\n :host .cds--btn.cds--skeleton{\n background:CanvasText;\n }\n :host .cds--btn.cds--skeleton::before{\n background:Canvas;\n forced-color-adjust:none;\n }\n}\n:host .cds--btn.cds--skeleton{\n inline-size:9.375rem;\n}\n:host .cds--btn-set{\n display:flex;\n}\n:host .cds--btn-set--stacked{\n flex-direction:column;\n}\n:host .cds--btn-set .cds--btn{\n inline-size:100%;\n max-inline-size:12.25rem;\n}\n:host .cds--btn-set .cds--btn:not(:focus){\n box-shadow:-0.0625rem 0 0 0 var(--cds-button-separator, #e0e0e0);\n}\n:host .cds--btn-set .cds--btn:first-of-type:not(:focus){\n box-shadow:inherit;\n}\n:host .cds--btn-set .cds--btn:focus + .cds--btn{\n box-shadow:inherit;\n}\n:host .cds--btn-set--stacked .cds--btn:not(:focus){\n box-shadow:0 -0.0625rem 0 0 var(--cds-button-separator, #e0e0e0);\n}\n:host .cds--btn-set--stacked .cds--btn:first-of-type:not(:focus){\n box-shadow:inherit;\n}\n:host .cds--btn-set .cds--btn.cds--btn--disabled{\n box-shadow:-0.0625rem 0 0 0 var(--cds-icon-on-color-disabled, #8d8d8d);\n}\n:host .cds--btn-set .cds--btn.cds--btn--disabled:first-of-type{\n box-shadow:none;\n}\n:host .cds--btn-set--stacked .cds--btn.cds--btn--disabled{\n box-shadow:0 -0.0625rem 0 0 var(--cds-layer-selected-disabled, #8d8d8d);\n}\n:host .cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type{\n box-shadow:none;\n}\n:host .cds--btn-set .cds--btn.cds--btn--loading{\n border-color:transparent;\n background-color:transparent;\n box-shadow:none;\n}\n:host .cds--btn--sm .cds--badge-indicator{\n margin-block-start:0.25rem;\n margin-inline-end:0.25rem;\n}\n@media screen and (-ms-high-contrast: active), (forced-colors: active){\n :host .cds--btn:focus{\n color:Highlight;\n outline:1px solid Highlight;\n }\n}\n:host [dir=rtl] .cds--btn-set .cds--btn:not(:focus){\n box-shadow:0.0625rem 0 0 0 var(--cds-button-separator, #e0e0e0);\n}\n:host .cds--btn-set--fluid{\n container-type:inline-size;\n}\n:host .cds--btn-set--fluid .cds--btn-set__fluid-inner{\n --flex-direction:row;\n display:flex;\n flex-direction:var(--flex-direction);\n align-items:stretch;\n justify-content:flex-end;\n inline-size:100%;\n}\n:host .cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{\n flex:0 1 25%;\n max-inline-size:14.5rem;\n}\n:host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{\n min-inline-size:11rem;\n}\n:host .cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--ghost,\n:host .cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--danger--ghost{\n flex:1 1 25%;\n max-inline-size:none;\n padding-inline-start:2rem;\n}\n@container (width <= 11rem){\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(1):last-child){\n --flex-direction:column;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(1):last-child) .cds--btn{\n flex:initial;\n inline-size:100%;\n max-inline-size:none;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(1):last-child) .cds--btn--ghost{\n padding-inline-start:1rem;\n }\n}\n@container (width <= 22rem){\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child){\n --flex-direction:column;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn{\n flex:initial;\n inline-size:100%;\n max-inline-size:none;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn--ghost{\n padding-inline-start:1rem;\n }\n}\n@container (width <= 33rem){\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){\n --flex-direction:column;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{\n flex:initial;\n inline-size:100%;\n max-inline-size:none;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{\n padding-inline-start:1rem;\n }\n}\n@container (width <= 44rem){\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){\n --flex-direction:column;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{\n flex:initial;\n inline-size:100%;\n max-inline-size:none;\n }\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{\n padding-inline-start:1rem;\n }\n}\n@container (width <= 44rem){\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:nth-child(2):last-child) .cds--btn{\n flex-basis:50%;\n max-inline-size:none;\n }\n}\n@container (width <= 33rem){\n :host .cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:nth-child(1):last-child) .cds--btn{\n flex:1 1 100%;\n max-inline-size:none;\n }\n}\n:host .cds-aichat--response-user-avatar img{\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--response-user-avatar svg{\n fill:currentcolor;\n}\n:host .cds-aichat--response-user-avatar .cds-aichat--response-user-avatar__circle{\n border:2px solid currentcolor;\n border-radius:50%;\n background-color:transparent;\n font-weight:bold;\n}\n:host .cds-aichat--response-user-avatar .cds-aichat--response-user-avatar__circle .cds-aichat--response-user-avatar__letter{\n display:flex;\n align-items:center;\n justify-content:center;\n block-size:100%;\n text-align:center;\n}\n:host{\n}\n:host .cds-aichat--human-agent-banner__body{\n display:flex;\n align-items:center;\n padding:1rem;\n background-color:var(--cds-chat-shell-background, #ffffff);\n border-block-end:1px solid var(--cds-border-subtle-01, #c6c6c6);\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n inline-size:100%;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--human-agent-banner__body{\n margin:0 auto;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--human-agent-banner .cds-aichat--response-user-avatar{\n margin:0 0.75rem 0 0;\n block-size:32px;\n inline-size:32px;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--human-agent-banner .cds-aichat--response-user-avatar{\n margin:0 0 0 0.75rem;\n}\n:host .cds-aichat--human-agent-banner .cds-aichat--response-user-avatar img{\n border-radius:16px;\n}\n:host .cds-aichat--human-agent-banner__human-agent-info{\n display:flex;\n flex:1;\n flex-direction:column;\n justify-content:center;\n padding:0 1rem 0 0;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--human-agent-banner__human-agent-info{\n padding:0 0 0 1rem;\n}\n:host .cds-aichat--human-agent-banner__human-agent-line1{\n font-weight:600;\n}\n:host .cds-aichat--human-agent-banner--connected .cds-aichat--agent-banner__agent-line1{\n font-size:var(--cds-body-02-font-size, 1rem);\n font-weight:var(--cds-body-02-font-weight, 400);\n line-height:var(--cds-body-02-line-height, 1.5);\n letter-spacing:var(--cds-body-02-letter-spacing, 0);\n}\n:host .cds-aichat--human-agent-banner__human-agent-line2{\n padding-block-start:0.25rem;\n}\n:host .cds-aichat--human-agent-banner__human-agent-line2,\n:host .cds-aichat--human-agent-banner__human-agent-line2 p{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--agent-banner__stop-sharing-button{\n inline-size:100%;\n max-inline-size:unset;\n}\n:host{\n}\n:host .cds-aichat--custom-panel{\n display:flex;\n flex-direction:column;\n background-color:var(--cds-chat-shell-background, #ffffff);\n background-image:unset;\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--ai-theme .cds-aichat--custom-panel{\n background-image:linear-gradient(0deg, var(--cds-ai-aura-start-sm, rgba(69, 137, 255, 0.16)) 0%, 15%, var(--cds-ai-aura-end, rgba(255, 255, 255, 0)) 50%, transparent 100%);\n border-block-end-color:var(--cds-ai-border-strong, #4589ff);\n background-color:var(--cds-chat-shell-background, #ffffff);\n}\n:host .cds-aichat--ai-theme .cds-aichat--overlay-panel--with-back-button,\n:host .cds-aichat--custom-panel,\n:host .cds-aichat--overlay-panel--with-back-button .cds-aichat--custom-panel{\n background-color:var(--cds-chat-shell-background, #ffffff);\n background-image:unset;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--overlay-panel-container .cds-aichat--panel-content{\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--custom-panel__content-container{\n overflow:auto;\n block-size:100%;\n}\n:host .cds-aichat--custom-panel .cds-aichat--panel-content{\n flex:1;\n}\n:host{\n}\n:host .cds-aichat--body-and-footer-component{\n display:flex;\n flex-direction:column;\n block-size:100%;\n}\n:host .cds-aichat--body-and-footer-component .cds-aichat--body-message-components{\n overflow:auto;\n flex:1;\n}\n:host .cds-aichat--body-and-footer-component .cds-aichat--panel-content{\n display:flex;\n flex:1;\n flex-direction:column;\n background-color:var(--cds-chat-shell-background, #ffffff);\n}\n:host{\n}\n:host .cds-aichat--widget--max-width .cds-aichat--header__header-bottom-element{\n margin:auto;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--header__container{\n background-color:var(--cds-chat-shell-background, #ffffff);\n border-start-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--header__slug-description{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host{\n}\n:host .cds-aichat--header{\n display:flex;\n box-sizing:unset;\n justify-content:center;\n block-size:40px;\n border-block-end:1px solid var(--cds-border-subtle-00, #e0e0e0);\n inline-size:100%;\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--header--content{\n position:relative;\n display:flex;\n inline-size:100%;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--header--content{\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--header__buttons{\n display:flex;\n align-items:center;\n}\n:host .cds-aichat--header__buttons .cds-aichat--header__slug{\n margin:0.5rem;\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--header--content{\n border-start-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--header__center-container{\n display:flex;\n overflow:hidden;\n flex:1;\n align-items:center;\n margin:0 0.25rem;\n}\n:host .cds-aichat--header__center-container:first-child{\n margin:0 1rem;\n}\n:host .cds-aichat--header__slug-label{\n color:var(--cds-text-secondary, #525252);\n padding-block-end:0.75rem;\n font-size:var(--cds-body-compact-01-font-size, 0.875rem);\n font-weight:var(--cds-body-compact-01-font-weight, 400);\n line-height:var(--cds-body-compact-01-line-height, 1.28572);\n letter-spacing:var(--cds-body-compact-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--header__slug-title{\n padding-block-end:0.75rem;\n}\n:host .cds-aichat--header__overflow-menu{\n max-block-size:488px;\n}\n:host .cds-aichat--header__overflow-menu svg,\n:host .cds-aichat--header__back-button svg,\n:host .cds-aichat--header__restart-button svg,\n:host .cds-aichat--header__close-button svg{\n block-size:16px;\n inline-size:16px;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--home-screen-header button.cds-aichat--header__back-button{\n transform:none;\n}\n:host .cds-aichat--header--with-avatar .cds-aichat--header__center-container{\n margin-inline-start:0;\n}\n:host .cds-aichat--header__left-items,\n:host .cds-aichat--chat-header-overflow-menu__host-element,\n:host .cds-aichat--header__title-container{\n max-inline-size:100%;\n}\n:host .cds-aichat--header__left-items :first-child{\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--header__left-items :first-child::part(button){\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--header__right-buttons :last-child::part(button){\n border-start-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host cds-aichat-chat-header-avatar{\n align-self:center;\n margin-inline:0.5rem;\n}\n:host cds-aichat-chat-header-avatar + .cds-aichat--header__separator{\n margin-inline-start:0.5rem;\n}\n:host .cds-aichat--wide-width.cds-aichat--widget--max-width .cds-aichat--header__center-container:first-child{\n margin:0 1rem 0 0;\n}\n:host .cds-aichat--header--with-avatar .cds-aichat--header__center-container:first-child > cds-aichat-chat-header-avatar{\n margin-inline-start:0.75rem;\n}\n:host{\n}\n:host .cds-aichat--home-screen{\n display:flex;\n flex-direction:column;\n background-color:var(--cds-chat-shell-background, #ffffff);\n block-size:100%;\n}\n:host .cds-aichat--home-screen--background-ai-theme{\n background-image:linear-gradient(0deg, var(--cds-ai-aura-start-sm, rgba(69, 137, 255, 0.16)) 0%, 15%, var(--cds-ai-aura-end, rgba(255, 255, 255, 0)) 50%, transparent 100%);\n border-block-end-color:var(--cds-ai-border-strong, #4589ff);\n background-color:var(--cds-chat-shell-background, #ffffff);\n}\n:host .cds-aichat--home-screen__home-screen-bottom-element{\n position:relative;\n margin:auto;\n inline-size:100%;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host{\n}\n:host .cds-aichat--home-screen__content{\n display:flex;\n overflow:hidden;\n flex:1;\n flex-direction:column;\n}\n:host{\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen--first-render .cds-aichat--home-screen__content{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen--first-render .cds-aichat--home-screen__content{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in 70ms both;\n }\n}\n:host .cds-aichat--home-screen__body-wrapper{\n position:relative;\n display:flex;\n overflow:auto;\n flex:1;\n flex-direction:column;\n}\n:host .cds-aichat--home-screen__body{\n display:flex;\n flex-direction:column;\n justify-content:center;\n padding:0 1rem 2rem;\n}\n:host{\n}\n:host .cds-aichat--home-screen__body--custom-content{\n flex-grow:1;\n flex-shrink:0;\n min-block-size:90%;\n}\n:host .cds-aichat--home-screen__body--custom-content > *{\n flex-shrink:0;\n}\n:host{\n}\n:host .cds-aichat--home-screen__body--no-custom-content{\n flex:1;\n padding-block-end:0;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__avatar-holder{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__avatar-holder{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in 70ms both;\n }\n}\n:host .cds-aichat--home-screen__avatar-holder img{\n border-radius:48px;\n}\n:host .cds-aichat--home-screen__greeting{\n color:var(--cds-text-primary, #161616);\n font-size:var(--cds-heading-04-font-size, 1.75rem);\n font-weight:var(--cds-heading-04-font-weight, 400);\n line-height:var(--cds-heading-04-line-height, 1.28572);\n letter-spacing:var(--cds-heading-04-letter-spacing, 0);\n margin-block-start:2rem;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__greeting{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__greeting{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in-up 70ms both;\n }\n}\n:host .cds-aichat--home-screen__starters{\n margin-block-start:2rem;\n}\n:host{\n}\n:host .cds-aichat--home-screen__body--no-custom-content .cds-aichat--home-screen__starters{\n margin-block-end:2rem;\n}\n:host{\n}\n:host .cds-aichat--home-screen__body--custom-content-only{\n flex-grow:unset;\n flex-shrink:unset;\n padding:0;\n margin:0;\n min-block-size:unset;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete cds-aichat-button.cds-aichat--home-screen__starter{\n display:block;\n animation:none;\n margin-block-end:0.75rem;\n max-inline-size:100%;\n word-break:break-word;\n }\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete cds-aichat-button.cds-aichat--home-screen__starter:last-child{\n margin-block-end:0;\n }\n}\n:host cds-aichat-button.cds-aichat--home-screen__starter:nth-child(1){\n --cds-aichat-homescreen-starter-index:1;\n}\n:host cds-aichat-button.cds-aichat--home-screen__starter:nth-child(2){\n --cds-aichat-homescreen-starter-index:2;\n}\n:host cds-aichat-button.cds-aichat--home-screen__starter:nth-child(3){\n --cds-aichat-homescreen-starter-index:3;\n}\n:host cds-aichat-button.cds-aichat--home-screen__starter:nth-child(4){\n --cds-aichat-homescreen-starter-index:4;\n}\n:host cds-aichat-button.cds-aichat--home-screen__starter:nth-child(5){\n --cds-aichat-homescreen-starter-index:5;\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete cds-aichat-button.cds-aichat--home-screen__starter{\n display:block;\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in-up calc(var(--cds-aichat-homescreen-starter-index) * 120ms) both;\n margin-block-end:0.75rem;\n max-inline-size:100%;\n word-break:break-word;\n }\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete cds-aichat-button.cds-aichat--home-screen__starter:last-child{\n margin-block-end:0;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__starters--animate-group cds-aichat-button.cds-aichat--home-screen__starter{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__starters--animate-group cds-aichat-button.cds-aichat--home-screen__starter{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in-up 120ms both;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__custom-content--animation{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__custom-content--animation{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in-up 330ms both;\n }\n}\n:host .cds-aichat--home-screen__back-button{\n position:absolute;\n inset-inline-start:50%;\n transform:translate(-50%, calc(-100% - 1rem));\n}\n:host .cds-aichat--home-screen__back-button .cds-aichat--home-screen__back-button-content{\n display:flex;\n}\n:host .cds-aichat--home-screen__back-button .cds-aichat--home-screen__back-button-content .cds-aichat--home-screen__back-button-content-text{\n margin-inline-end:0.5rem;\n white-space:nowrap;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--home-screen__back-button .cds-aichat--home-screen__back-button-content .cds-aichat--home-screen__back-button-content-text{\n margin-inline:0.5rem unset;\n}\n@keyframes cds-aichat-fade-in-up-back-button{\n 0%{\n opacity:0;\n transform:translate(-50%, calc(-100% - 1rem + 2rem));\n }\n 15%{\n opacity:0;\n }\n 50%{\n transform:translate(-50%, calc(-100% - 1rem));\n }\n 100%{\n opacity:1;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__back-button{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--hydration-complete .cds-aichat--home-screen__back-button{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in-up-back-button 350ms both;\n }\n}\n:host .cds-aichat--home-screen__input-container-wrapper,\n:host .cds-aichat--home-screen__input-container{\n display:flex;\n inline-size:100%;\n transform:translateY(0);\n}\n:host .cds-aichat--home-screen__input-container-wrapper{\n flex-direction:column;\n}\n:host{\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--first-render .cds-aichat--input-container{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--home-screen.cds-aichat--home-screen--first-render .cds-aichat--input-container{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in-up 370ms both;\n }\n}\n:host{\n}\n:host .cds-aichat--input-and-completions{\n position:relative;\n inline-size:100%;\n}\n:host .cds-aichat--input-container{\n position:relative;\n z-index:1;\n display:flex;\n align-items:center;\n background-color:var(--cds-chat-prompt-background, #ffffff);\n border-block-start:1px solid var(--cds-border-subtle-01, #c6c6c6);\n color:var(--cds-text-primary, #161616);\n inline-size:100%;\n min-block-size:0;\n outline:2px solid transparent;\n outline-offset:-2px;\n padding-block:0.75rem;\n padding-inline:1rem 0.5rem;\n}\n:host .cds-aichat--container--render.cds-aichat--container-disable-mobile-enhancements .cds-aichat--widget--max-width .cds-aichat--input-and-completions,\n:host .cds-aichat--container--render:not(.cds-aichat--is-phone-portrait-mode) .cds-aichat--widget--max-width .cds-aichat--input-and-completions{\n margin:0 auto;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--container--render.cds-aichat--container-disable-mobile-enhancements .cds-aichat--widget--max-width .cds-aichat--input-container,\n:host .cds-aichat--container--render:not(.cds-aichat--is-phone-portrait-mode) .cds-aichat--widget--max-width .cds-aichat--input-container{\n border:1px solid var(--cds-border-subtle-00, #e0e0e0);\n border-radius:0.5rem;\n margin-block-end:32px;\n}\n:host .cds-aichat--ai-theme .cds-aichat--input-container{\n border:1px solid transparent;\n background:linear-gradient(to bottom, var(--cds-chat-prompt-background, #ffffff), var(--cds-chat-prompt-background, #ffffff)) padding-box, linear-gradient(to bottom, var(--cds-border-subtle-00, #e0e0e0), var(--cds-chat-prompt-background, #ffffff)) border-box;\n}\n:host .cds-aichat--input-container--show-upload-button{\n padding-inline-start:0.5rem;\n}\n:host .cds-aichat--input-container__text-and-upload{\n display:flex;\n align-items:center;\n}\n:host .cds-aichat--input-container__text-and-upload > *:not(:last-child),\n:host .cds-aichat--input-container > *:not(:last-child){\n margin-inline-end:0.5rem;\n}\n:host .cds-aichat--input-container__files-container{\n overflow:auto;\n margin-block-start:0.5rem;\n max-block-size:200px;\n}\n:host .cds-aichat--input-container__files-container cds-file-uploader-item{\n margin-block-end:0;\n}\n:host .cds-aichat--input-container__upload-button-container{\n display:inline-block;\n inline-size:32px;\n vertical-align:top;\n}\n:host .cds-aichat--input-container .cds-aichat--input-container__upload-button{\n display:flex;\n align-items:center;\n justify-content:center;\n block-size:32px;\n color:var(--cds-text-primary, #161616);\n cursor:pointer;\n inline-size:32px;\n}\n:host .cds-aichat--input-container__upload-input:focus + .cds-aichat--input-container__upload-button{\n box-shadow:inset 0 0 0 2px var(--cds-focus, #0f62fe);\n}\n:host .cds-aichat--input-container__upload-button:hover{\n background-color:var(--cds-background-hover, rgba(141, 141, 141, 0.12));\n}\n:host .cds-aichat--input-container__upload-button:active{\n background-color:var(--cds-background-active, rgba(141, 141, 141, 0.5));\n}\n:host .cds-aichat--input-container .cds-aichat--input-container__upload-button--disabled{\n cursor:default;\n opacity:0.5;\n}\n:host label.cds-aichat--input-container__upload-button--disabled:hover{\n background-color:transparent;\n}\n:host .cds-aichat--input-container__left-container{\n position:relative;\n display:flex;\n overflow:hidden;\n flex:1 0;\n flex-direction:column;\n justify-content:center;\n block-size:100%;\n}\n:host .cds-aichat--input-container--has-focus{\n outline-color:var(--cds-focus, #0f62fe);\n}\n:host .cds-aichat--input-container .cds-aichat--input-container__left-container .cds-aichat--text-area .cds-aichat--text-area-textarea{\n border:none;\n}\n:host .cds-aichat--assistant-container .cds-aichat--input-container{\n display:flex;\n}\n:host .cds-aichat--input-container .cds-aichat--text-area{\n display:inline-block;\n overflow:hidden;\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n inline-size:100%;\n min-block-size:0;\n}\n:host .cds-aichat--input-container--show-upload-button .cds-aichat--text-area{\n inline-size:calc(100% - 32px);\n}\n:host .cds-aichat--input-container .cds-aichat--text-area .cds-aichat--text-area-textarea{\n position:relative;\n display:block;\n border:none;\n margin:0;\n background:transparent;\n color:var(--cds-text-primary, #161616);\n}\n:host .cds-aichat--input-container .cds-aichat--text-area .cds-aichat--text-area-textarea,\n:host .cds-aichat--input-container .cds-aichat--text-area .cds-aichat--text-area-sizer{\n max-block-size:157px;\n}\n:host .cds-aichat--input-container .cds-aichat--text-area .cds-aichat--text-area-textarea[data-has-content=false]::before{\n position:absolute;\n color:var(--cds-text-placeholder, rgba(22, 22, 22, 0.4));\n content:attr(data-placeholder);\n inset:0;\n pointer-events:none;\n white-space:pre-wrap;\n word-wrap:break-word;\n font-size:var(--cds-body-02-font-size, 1rem);\n font-weight:var(--cds-body-02-font-weight, 400);\n line-height:var(--cds-body-02-line-height, 1.5);\n letter-spacing:var(--cds-body-02-letter-spacing, 0);\n}\n:host .cds-aichat--input-container__send-button-container,\n:host .cds-aichat--input-container__upload-button-container{\n display:flex;\n flex:0 1;\n align-self:flex-start;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--input-container__send-button svg{\n transform:scale(-1, 1);\n}\n:host cds-button.cds-aichat--input-container__send-button svg{\n block-size:1rem;\n cursor:inherit;\n fill:var(--cds-interactive, #0f62fe);\n inline-size:1rem;\n}\n:host cds-button.cds-aichat--input-container__send-button:active svg,\n:host cds-button.cds-aichat--input-container__send-button:focus svg,\n:host cds-button.cds-aichat--input-container__send-button:active:focus svg{\n fill:var(--cds-interactive, #0f62fe);\n}\n:host cds-button.cds-aichat--input-container__send-button[disabled]:hover svg,\n:host cds-button.cds-aichat--input-container__send-button[disabled] svg{\n fill:var(--cds-icon-disabled, rgba(22, 22, 22, 0.25));\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container{\n position:fixed;\n z-index:var(--cds-aichat-z-index, 99999);\n border-radius:28px;\n animation:cds-aichat-launcher-in 150ms cubic-bezier(0, 0, 0.3, 1) both;\n background-color:var(--cds-background, #ffffff);\n block-size:var(--cds-aichat-launcher-default-size, 56px);\n box-shadow:var(--cds-aichat-box-shadow, 1px 0 4px hsla(0, 0%, 9%, 0.3));\n inline-size:var(--cds-aichat-launcher-default-size, 56px);\n inset-block-end:var(--cds-aichat-launcher-position-bottom, 3rem);\n inset-inline-end:var(--cds-aichat-launcher-position-right, 2rem);\n transition:inline-size 240ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n:host .cds-aichat--launcher__button-container--hidden{\n visibility:hidden;\n}\n:host .cds-aichat--count-indicator{\n position:absolute;\n display:flex;\n align-items:center;\n justify-content:center;\n padding:0 4px;\n border-radius:10px;\n background-color:var(--cds-aichat-unread-indicator-color-background, var(--cds-support-error, #da1e28));\n box-shadow:1px 0.125rem 0.125rem rgba(23, 23, 23, 0.3);\n color:var(--cds-aichat-unread-indicator-color-text, var(--cds-text-on-color, #ffffff));\n inset-block-start:calc(-1 * 0.25rem);\n inset-inline-end:calc(-1 * 0.25rem);\n min-block-size:20px;\n min-inline-size:20px;\n font-size:var(--cds-caption-01-font-size, 0.75rem);\n font-weight:var(--cds-caption-01-font-weight, 400);\n line-height:var(--cds-caption-01-line-height, 1.33333);\n letter-spacing:var(--cds-caption-01-letter-spacing, 0.32px);\n}\n:host cds-button.cds-aichat--launcher__button::part(button){\n position:static;\n display:flex;\n align-items:center;\n justify-content:center;\n padding:0;\n border-radius:28px;\n background-color:var(--cds-aichat-launcher-color-background, var(--cds-button-primary, #0f62fe));\n block-size:var(--cds-aichat-launcher-default-size, 56px);\n inline-size:var(--cds-aichat-launcher-default-size, 56px);\n transition:inline-size 240ms cubic-bezier(0.2, 0, 0.38, 0.9), background 250ms ease-in-out, transform 150ms ease;\n}\n:host cds-button.cds-aichat--launcher__button::part(button) svg{\n block-size:24px;\n fill:var(--cds-aichat-launcher-color-avatar, var(--cds-text-on-color, #ffffff));\n inline-size:24px;\n}\n:host cds-button.cds-aichat--launcher__button::part(button):focus{\n border-width:2px;\n box-shadow:inset 0 0 0 2px var(--cds-aichat-launcher-color-focus-border, var(--cds-text-on-color, #ffffff));\n}\n:host .cds-aichat--launcher__svg{\n fill:currentcolor;\n}\n:host .cds-aichat--launcher__avatar{\n border-radius:50%;\n block-size:32px;\n inline-size:32px;\n -webkit-user-select:none;\n -moz-user-select:none;\n user-select:none;\n}\n:host .cds-aichat--launcher__wrapper{\n display:flex;\n}\n:host .cds-aichat--launcher__icon-holder{\n display:flex;\n align-items:center;\n}\n:host .cds-aichat--launcher-extended__text-holder{\n overflow:hidden;\n flex:1;\n padding:0.75rem 0 0.75rem 0.75rem;\n inline-size:0;\n text-align:start;\n}\n:host .cds-aichat--launcher-extended__greeting{\n display:flex;\n align-items:center;\n block-size:100%;\n color:var(--cds-aichat-launcher-mobile-color-text, var(--cds-text-on-color, #ffffff));\n inline-size:calc(100% - 12px);\n inset-block-end:0;\n opacity:0;\n word-break:break-word;\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--launcher-extended__greeting-text{\n display:-webkit-box;\n overflow:hidden;\n -webkit-box-orient:vertical;\n -webkit-line-clamp:2;\n line-clamp:2;\n text-overflow:ellipsis;\n}\n:host .cds-aichat--launcher__skip-link{\n position:absolute;\n overflow:hidden;\n padding:0;\n border:0;\n margin:-1px;\n block-size:1px;\n clip:rect(0 0 0 0);\n inline-size:1px;\n white-space:nowrap;\n}\n:host .cds-aichat--launcher__skip-link:focus{\n position:static;\n padding:0.125rem 0.25rem;\n border-radius:999px;\n margin:0 0 0.25rem 0;\n background:var(--cds-background-inverse, #393939);\n block-size:auto;\n clip:auto;\n color:var(--cds-text-on-color, #ffffff);\n inline-size:auto;\n white-space:normal;\n}\n:host cds-button.cds-aichat--launcher-extended__close-button{\n position:absolute;\n z-index:2;\n inset-block-start:-24px;\n inset-inline-end:0;\n transform:translate(50%, 50%);\n}\n:host cds-button.cds-aichat--launcher-extended__close-button::part(button){\n padding:0;\n border-radius:50%;\n block-size:24px;\n inline-size:24px;\n}\n:host{\n}\n@keyframes cds-aichat-launcher-opening-text-holder{\n from{\n inline-size:0;\n }\n to{\n inline-size:var(--cds-aichat-launcher-extended-width, 280px);\n }\n}\n@keyframes cds-aichat-launcher-closing-text-holder{\n from{\n inline-size:var(--cds-aichat-launcher-extended-width, 280px);\n }\n to{\n inline-size:0;\n }\n}\n@keyframes cds-aichat-launcher-opening-greeting{\n from{\n opacity:0;\n }\n to{\n opacity:1;\n }\n}\n@keyframes cds-aichat-launcher-closing-greeting{\n from{\n opacity:1;\n }\n to{\n opacity:0;\n }\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container--opening .cds-aichat--launcher-extended__text-holder{\n animation:cds-aichat-launcher-opening-text-holder 240ms cubic-bezier(0.2, 0, 0.38, 0.9) forwards;\n}\n:host .cds-aichat--launcher__button-container--opening .cds-aichat--launcher-extended__greeting{\n animation:cds-aichat-launcher-opening-greeting 70ms cubic-bezier(0.2, 0, 0.38, 0.9) forwards;\n animation-delay:240ms;\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container--open .cds-aichat--launcher-extended__text-holder{\n inline-size:var(--cds-aichat-launcher-extended-width, 280px);\n}\n:host .cds-aichat--launcher__button-container--open .cds-aichat--launcher-extended__greeting{\n opacity:1;\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container--closing .cds-aichat--launcher-extended__greeting{\n animation:cds-aichat-launcher-closing-greeting 70ms cubic-bezier(0.2, 0, 0.38, 0.9) forwards;\n}\n:host .cds-aichat--launcher__button-container--closing .cds-aichat--launcher-extended__text-holder{\n animation:cds-aichat-launcher-closing-text-holder 240ms cubic-bezier(0.2, 0, 0.38, 0.9) forwards;\n animation-delay:70ms;\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container--closed .cds-aichat--launcher-extended__text-holder{\n display:none;\n inline-size:0;\n}\n:host .cds-aichat--launcher__button-container--closed .cds-aichat--launcher-extended__greeting{\n opacity:0;\n}\n:host .cds-aichat--launcher__button-container--closed .cds-aichat--launcher-extended__close-button{\n display:none;\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container--opening,\n:host .cds-aichat--launcher__button-container--open{\n inline-size:calc(var(--cds-aichat-launcher-extended-width, 280px) + var(--cds-aichat-launcher-default-size, 56px));\n}\n:host .cds-aichat--launcher__button-container--opening cds-button.cds-aichat--launcher__button::part(button),\n:host .cds-aichat--launcher__button-container--open cds-button.cds-aichat--launcher__button::part(button){\n inline-size:calc(var(--cds-aichat-launcher-extended-width, 280px) + var(--cds-aichat-launcher-default-size, 56px));\n}\n:host{\n}\n:host .cds-aichat--launcher__button-container--closing,\n:host .cds-aichat--launcher__button-container--closed{\n inline-size:var(--cds-aichat-launcher-default-size, 56px);\n}\n:host .cds-aichat--launcher__button-container--closing cds-button.cds-aichat--launcher__button::part(button),\n:host .cds-aichat--launcher__button-container--closed cds-button.cds-aichat--launcher__button::part(button){\n inline-size:var(--cds-aichat-launcher-default-size, 56px);\n}\n:host [dir=rtl] .cds-aichat--count-indicator{\n inset-inline:calc(-1 * 0.125rem) unset;\n}\n:host [dir=rtl] cds-button.cds-aichat--launcher-extended__close-button{\n transform:translate(-50%, 50%);\n}\n:host [dir=rtl] .cds-aichat--launcher__button-container .cds-aichat--launcher-extended__wrapper{\n inset-inline:0 unset;\n}\n:host [dir=rtl] .cds-aichat--launcher__button-container .cds-aichat--launcher-extended__text-holder{\n padding:0.75rem 0.75rem 0.75rem 0;\n}\n@keyframes cds-aichat-launcher-in{\n 0%{\n inset-block-end:calc(var(--cds-aichat-launcher-position-bottom, 3rem) - 1rem);\n opacity:0;\n }\n 100%{\n inset-block-end:var(--cds-aichat-launcher-position-bottom, 3rem);\n opacity:1;\n }\n}\n:host{\n}\n@media (prefers-reduced-motion: reduce){\n :host .cds-aichat--launcher__button-container{\n animation-duration:70ms;\n transition:none;\n }\n :host{\n }\n :host .cds-aichat--launcher__button-container--opening .cds-aichat--launcher-extended__text-holder,\n :host .cds-aichat--launcher__button-container--opening .cds-aichat--launcher-extended__greeting{\n animation-delay:0ms;\n animation-duration:70ms;\n }\n :host .cds-aichat--launcher__button-container--closing .cds-aichat--launcher-extended__text-holder,\n :host .cds-aichat--launcher__button-container--closing .cds-aichat--launcher-extended__greeting{\n animation-delay:0ms;\n animation-duration:70ms;\n }\n :host{\n }\n :host cds-button.cds-aichat--launcher__button::part(button){\n transition:background 250ms ease-in-out, transform 150ms ease;\n }\n}\n:host{\n}\n:host .cds-aichat--confirm-modal{\n position:absolute;\n z-index:100;\n display:flex;\n flex-direction:column;\n justify-content:center;\n background-color:var(--cds-overlay, rgba(0, 0, 0, 0.6));\n block-size:100%;\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n inline-size:100%;\n inset-block-start:0;\n}\n:host .cds-aichat--confirm-modal .cds-aichat--confirm-modal__container{\n margin:auto;\n background-color:var(--cds-background, #ffffff);\n max-inline-size:min(var(--cds-aichat-messages-max-width, 672px) - 1rem * 2, 512px);\n}\n:host .cds-aichat--confirm-modal .cds-aichat--confirm-modal__title{\n padding:1rem;\n font-size:var(--cds-heading-compact-01-font-size, 0.875rem);\n font-weight:var(--cds-heading-compact-01-font-weight, 600);\n line-height:var(--cds-heading-compact-01-line-height, 1.28572);\n letter-spacing:var(--cds-heading-compact-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--confirm-modal .cds-aichat--confirm-modal__message{\n padding:0 1rem 3rem 1rem;\n}\n:host .cds-aichat--confirm-modal .cds-aichat--confirm-modal__no-button{\n margin-inline-end:1px;\n}\n:host .cds-aichat--confirm-modal .cds-aichat--confirm-modal__button-container{\n display:flex;\n border-block-start:solid 1px var(--cds-layer-03, #f4f4f4);\n}\n:host .cds-aichat--confirm-modal .cds-aichat--confirm-modal__button-container *{\n flex:1;\n}\n:host{\n}\n:host .cds-aichat--max-width-small{\n max-inline-size:291px;\n}\n:host .cds-aichat--max-width-medium{\n max-inline-size:438px;\n}\n:host .cds-aichat--max-width-large{\n max-inline-size:585px;\n}\n:host{\n}\n:host .cds-aichat--connect-to-human-agent{\n max-inline-size:var(--cds-aichat-card-max-width, 424px);\n}\n:host .cds-aichat--connect-to-human-agent__title{\n font-size:var(--cds-heading-02-font-size, 1rem);\n font-weight:var(--cds-heading-02-font-weight, 600);\n line-height:var(--cds-heading-02-line-height, 1.5);\n letter-spacing:var(--cds-heading-02-letter-spacing, 0);\n padding-block-end:0.25rem;\n}\n:host .cds-aichat--connect-to-human-agent__text{\n padding-block-end:1.5rem;\n}\n:host .cds-aichat--connect-to-agent__text p,\n:host .cds-aichat--connect-to-human-agent__request-button svg{\n margin-inline-start:2rem;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--connect-to-human-agent__request-button svg{\n margin-inline:0 2rem;\n transform:scaleX(-1);\n}\n:host .cds-aichat--message .cds-aichat--connect-to-human-agent__warning a,\n:host .cds-aichat--message .cds-aichat--connect-to-human-agent__warning a:visited{\n color:var(--cds-link-inverse, #78a9ff);\n}\n:host .cds-aichat--connect-to-human-agent__suspended-warning{\n color:var(--cds-support-error, #da1e28);\n padding-block-start:0.75rem;\n}\n:host{\n}\n:host .cds-aichat--card-message-component{\n overflow:hidden;\n padding:0;\n}\n:host{\n}\n:host .cds-aichat-preview-card__sm{\n max-inline-size:18.1875rem;\n}\n:host .cds-aichat-preview-card [slot=body]{\n padding:1rem;\n}\n:host .cds-aichat-preview-card [slot=body] .cds-aichat-preview-card--title{\n font-size:var(--cds-body-compact-02-font-size, 1rem);\n font-weight:var(--cds-body-compact-02-font-weight, 400);\n line-height:var(--cds-body-compact-02-line-height, 1.375);\n letter-spacing:var(--cds-body-compact-02-letter-spacing, 0);\n margin-block-end:0.125rem;\n}\n:host .cds-aichat-preview-card [slot=body] .cds-aichat-preview-card--subtitle{\n font-size:var(--cds-helper-text-01-font-size, 0.75rem);\n line-height:var(--cds-helper-text-01-line-height, 1.33333);\n letter-spacing:var(--cds-helper-text-01-letter-spacing, 0.32px);\n color:var(--cds-text-secondary, #525252);\n}\n:host{\n}\n@font-face{\n font-family:\"swiper-icons\";\n src:url(\"data:application/font-woff;charset=utf-8;base64, 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\") format(\"woff\");\n font-weight:400;\n font-style:normal;\n}\n:host :root{\n --swiper-theme-color:#007aff;\n}\n:host :host{\n position:relative;\n display:block;\n margin-left:auto;\n margin-right:auto;\n z-index:1;\n}\n:host .swiper{\n margin-left:auto;\n margin-right:auto;\n position:relative;\n overflow:hidden;\n list-style:none;\n padding:0;\n z-index:1;\n display:block;\n}\n:host .swiper-vertical > .swiper-wrapper{\n flex-direction:column;\n}\n:host .swiper-wrapper{\n position:relative;\n width:100%;\n height:100%;\n z-index:1;\n display:flex;\n transition-property:transform;\n transition-timing-function:var(--swiper-wrapper-transition-timing-function, initial);\n box-sizing:content-box;\n}\n:host .swiper-android .swiper-slide,\n:host .swiper-ios .swiper-slide,\n:host .swiper-wrapper{\n transform:translate3d(0px, 0, 0);\n}\n:host .swiper-horizontal{\n touch-action:pan-y;\n}\n:host .swiper-vertical{\n touch-action:pan-x;\n}\n:host .swiper-slide{\n flex-shrink:0;\n width:100%;\n height:100%;\n position:relative;\n transition-property:transform;\n display:block;\n}\n:host .swiper-slide-invisible-blank{\n visibility:hidden;\n}\n:host{\n}\n:host .swiper-autoheight,\n:host .swiper-autoheight .swiper-slide{\n height:auto;\n}\n:host .swiper-autoheight .swiper-wrapper{\n align-items:flex-start;\n transition-property:transform, height;\n}\n:host .swiper-backface-hidden .swiper-slide{\n transform:translateZ(0);\n backface-visibility:hidden;\n}\n:host{\n}\n:host .swiper-3d.swiper-css-mode .swiper-wrapper{\n perspective:1200px;\n}\n:host .swiper-3d .swiper-wrapper{\n transform-style:preserve-3d;\n}\n:host .swiper-3d{\n perspective:1200px;\n}\n:host .swiper-3d .swiper-slide,\n:host .swiper-3d .swiper-cube-shadow{\n transform-style:preserve-3d;\n}\n:host{\n}\n:host .swiper-css-mode > .swiper-wrapper{\n overflow:auto;\n scrollbar-width:none;\n -ms-overflow-style:none;\n}\n:host .swiper-css-mode > .swiper-wrapper::-webkit-scrollbar{\n display:none;\n}\n:host .swiper-css-mode > .swiper-wrapper > .swiper-slide{\n scroll-snap-align:start start;\n}\n:host .swiper-css-mode.swiper-horizontal > .swiper-wrapper{\n scroll-snap-type:x mandatory;\n}\n:host .swiper-css-mode.swiper-vertical > .swiper-wrapper{\n scroll-snap-type:y mandatory;\n}\n:host .swiper-css-mode.swiper-free-mode > .swiper-wrapper{\n scroll-snap-type:none;\n}\n:host .swiper-css-mode.swiper-free-mode > .swiper-wrapper > .swiper-slide{\n scroll-snap-align:none;\n}\n:host .swiper-css-mode.swiper-centered > .swiper-wrapper::before{\n content:\"\";\n flex-shrink:0;\n order:9999;\n}\n:host .swiper-css-mode.swiper-centered > .swiper-wrapper > .swiper-slide{\n scroll-snap-align:center center;\n scroll-snap-stop:always;\n}\n:host .swiper-css-mode.swiper-centered.swiper-horizontal > .swiper-wrapper > .swiper-slide:first-child{\n margin-inline-start:var(--swiper-centered-offset-before);\n}\n:host .swiper-css-mode.swiper-centered.swiper-horizontal > .swiper-wrapper::before{\n height:100%;\n min-height:1px;\n width:var(--swiper-centered-offset-after);\n}\n:host .swiper-css-mode.swiper-centered.swiper-vertical > .swiper-wrapper > .swiper-slide:first-child{\n margin-block-start:var(--swiper-centered-offset-before);\n}\n:host .swiper-css-mode.swiper-centered.swiper-vertical > .swiper-wrapper::before{\n width:100%;\n min-width:1px;\n height:var(--swiper-centered-offset-after);\n}\n:host{\n}\n:host .swiper-3d .swiper-slide-shadow,\n:host .swiper-3d .swiper-slide-shadow-left,\n:host .swiper-3d .swiper-slide-shadow-right,\n:host .swiper-3d .swiper-slide-shadow-top,\n:host .swiper-3d .swiper-slide-shadow-bottom,\n:host .swiper-3d .swiper-slide-shadow,\n:host .swiper-3d .swiper-slide-shadow-left,\n:host .swiper-3d .swiper-slide-shadow-right,\n:host .swiper-3d .swiper-slide-shadow-top,\n:host .swiper-3d .swiper-slide-shadow-bottom{\n position:absolute;\n left:0;\n top:0;\n width:100%;\n height:100%;\n pointer-events:none;\n z-index:10;\n}\n:host .swiper-3d .swiper-slide-shadow{\n background:rgba(0, 0, 0, 0.15);\n}\n:host .swiper-3d .swiper-slide-shadow-left{\n background-image:linear-gradient(to left, rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0));\n}\n:host .swiper-3d .swiper-slide-shadow-right{\n background-image:linear-gradient(to right, rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0));\n}\n:host .swiper-3d .swiper-slide-shadow-top{\n background-image:linear-gradient(to top, rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0));\n}\n:host .swiper-3d .swiper-slide-shadow-bottom{\n background-image:linear-gradient(to bottom, rgba(0, 0, 0, 0.5), rgba(0, 0, 0, 0));\n}\n:host .swiper-lazy-preloader{\n width:42px;\n height:42px;\n position:absolute;\n left:50%;\n top:50%;\n margin-left:-21px;\n margin-top:-21px;\n z-index:10;\n transform-origin:50%;\n box-sizing:border-box;\n border:4px solid var(--swiper-preloader-color, var(--swiper-theme-color));\n border-radius:50%;\n border-top-color:transparent;\n}\n:host .swiper:not(.swiper-watch-progress) .swiper-lazy-preloader,\n:host .swiper-watch-progress .swiper-slide-visible .swiper-lazy-preloader{\n animation:swiper-preloader-spin 1s infinite linear;\n}\n:host .swiper-lazy-preloader-white{\n --swiper-preloader-color:#fff;\n}\n:host .swiper-lazy-preloader-black{\n --swiper-preloader-color:#000;\n}\n@keyframes swiper-preloader-spin{\n 0%{\n transform:rotate(0deg);\n }\n 100%{\n transform:rotate(360deg);\n }\n}\n:host{\n}\n:host button.cds-aichat--carousel-container__navigation-button,\n:host .cds-aichat--carousel-container__controls{\n display:flex;\n align-items:center;\n color:var(--cds-text-secondary, #525252);\n -moz-column-gap:0.5rem;\n column-gap:0.5rem;\n}\n:host .cds-aichat--carousel-container__navigation{\n display:flex;\n align-items:center;\n justify-content:flex-end;\n inline-size:100%;\n max-inline-size:var(--cds-aichat-card-max-width, 424px);\n}\n:host .cds-aichat--carousel-container__navigation cds-button::part(button){\n color:currentcolor;\n}\n:host .cds-aichat--carousel-container__navigation-button{\n padding:0;\n color:currentcolor;\n inline-size:32px;\n}\n:host .cds-aichat--carousel-container__navigation-button:first-of-type{\n margin-inline-end:0.5rem;\n}\n:host .cds-aichat--carousel-container__navigation-button:last-of-type{\n margin-inline-start:0.5rem;\n}\n:host button.cds-aichat--carousel-container__navigation-button > svg{\n fill:var(--cds-text-secondary, #525252);\n}\n:host .swiper .cds-aichat--card-message-component{\n display:flex;\n flex-direction:column;\n block-size:calc(100% - 2px);\n}\n:host .swiper .cds-aichat--body-message-components{\n flex:1;\n}\n:host .cds-aichat--carousel-container__slide--narrow.swiper-slide{\n max-inline-size:calc(100% - 32px);\n}\n:host .cds-aichat--carousel-container__slide--wide.swiper-slide,\n:host .cds-aichat--carousel-container__slide--standard.swiper-slide{\n max-inline-size:calc(100% - 72px);\n}\n:host .cds-aichat--carousel-container__controls--standard,\n:host .cds-aichat--carousel-container__controls--wide{\n padding-block-start:0.5rem;\n padding-inline:56px 16px;\n}\n:host .cds-aichat--carousel-container--one-slide{\n max-inline-size:var(--cds-aichat-card-max-width, 424px);\n}\n:host .swiper{\n inline-size:100%;\n}\n:host .swiper,\n:host .swiper-wrapper{\n z-index:unset;\n}\n:host .swiper-wrapper{\n align-items:stretch;\n block-size:unset;\n}\n:host .swiper-wrapper .swiper-slide{\n block-size:unset;\n}\n:host .swiper-slide,\n:host .swiper-slide > *{\n max-inline-size:var(--cds-aichat-card-max-width, 424px);\n}\n:host{\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--conversational-search-citations{\n animation:none;\n padding-block-start:16px;\n }\n}\n:host .cds-aichat--conversational-search-citations{\n animation:400ms cubic-bezier(0, 0, 0.3, 1) cds-chat-fade-in both;\n padding-block-start:16px;\n}\n:host .cds-aichat--conversational-search-citations .swiper-slide{\n block-size:unset;\n}\n:host .cds-aichat--conversational-search .cds-aichat--carousel-container__controls{\n padding-block-end:0;\n}\n:host .cds-aichat--standard-width .cds-aichat--conversational-search .cds-aichat--carousel-container--one-slide,\n:host .cds-aichat--wide-width .cds-aichat--conversational-search .cds-aichat--carousel-container--one-slide,\n:host .cds-aichat--wide-width .cds-aichat--conversational-search-disclaimer,\n:host .cds-aichat--standard-width .cds-aichat--conversational-search-disclaimer{\n margin-inline:56px 16px;\n}\n:host .cds-aichat--narrow-width .cds-aichat--conversational-search .cds-aichat--carousel-container--one-slide,\n:host .cds-aichat--narrow-width .cds-aichat--conversational-search-disclaimer{\n margin-inline:16px;\n}\n:host{\n}\n:host .cds-aichat--received--conversational-search .cds-aichat--received--feedback,\n:host .cds-aichat--wide-width .cds-aichat--conversational-search-text,\n:host .cds-aichat--standard-width .cds-aichat--conversational-search-text{\n margin-inline:56px 16px;\n}\n:host .cds-aichat--conversational-search-text__CitationsToggleContainer{\n padding-block-start:0.75rem;\n}\n:host .cds-aichat--narrow-width .cds-aichat--received--conversational-search .cds-aichat--received--feedback,\n:host .cds-aichat--narrow-width .cds-aichat--conversational-search-text{\n margin-inline-start:16px;\n}\n:host .cds-aichat--conversational-search-text__citations-toggle-container{\n display:block;\n padding-block-start:0.25rem;\n}\n:host .cds-aichat--conversational-search-text__citations-toggle{\n margin:0;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--conversational-search-text__segment:nth-last-child(1 of .cds-aichat--conversational-search-text__segment){\n margin-inline:0.25rem 0;\n}\n:host{\n}\n:host .cds-aichat--date-picker__confirm-button{\n display:block;\n}\n:host .cds-aichat--date-picker__confirm-button::part(button){\n display:block;\n margin-block-start:0.75rem;\n margin-inline-start:auto;\n}\n:host{\n}\n:host .cds-aichat--inline-error{\n display:flex;\n flex-direction:row;\n margin-inline-start:-16px;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--inline-error{\n margin-inline:unset -16px;\n}\n:host .cds-aichat--inline-error--icon-holder{\n display:flex;\n flex:0 0 1rem;\n align-items:flex-start;\n margin:0.125rem 0.5rem 0 1rem;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--inline-error--icon-holder{\n margin:0.125rem 1rem 0 0.5rem;\n}\n:host .cds-aichat--inline-error--icon{\n block-size:1rem;\n inline-size:1rem;\n}\n:host .cds-aichat--inline-error--text{\n flex:1;\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n margin-block-start:1px;\n}\n:host .cds-aichat--inline-error .cds-aichat--inline-error--text{\n color:var(--cds-text-error, #da1e28);\n}\n:host{\n}\n:host .cds-aichat--grid{\n display:flex;\n flex-direction:column;\n inline-size:100%;\n row-gap:0.5rem;\n}\n:host .cds-aichat--grid__row{\n display:flex;\n -moz-column-gap:0.5rem;\n column-gap:0.5rem;\n inline-size:100%;\n}\n:host .cds-aichat--grid__cell{\n display:flex;\n flex-direction:column;\n inline-size:100%;\n row-gap:0.5rem;\n}\n:host .cds-aichat--grid__cell .cds-aichat--message-user-defined-response{\n inline-size:100%;\n}\n:host .cds-aichat--grid .cds-aichat--image{\n border:none;\n}\n:host .cds-aichat--grid .cds-aichat--image__image-wrapper{\n background-color:transparent;\n}\n:host .cds-aichat--grid .cds-aichat--image__skeleton{\n display:none;\n}\n:host .cds-aichat--grid .cds-aichat--media-player__skeleton{\n display:none;\n}\n:host .cds-aichat--grid .cds-aichat--media-player__root{\n inline-size:100%;\n}\n:host{\n}\n:host .cds-aichat--i-frame-panel{\n position:relative;\n display:flex;\n flex-direction:column;\n background-color:var(--cds-chat-shell-background, #ffffff);\n block-size:100%;\n}\n:host .cds-aichat--i-frame-panel__content{\n position:relative;\n display:flex;\n flex:1;\n}\n:host .cds-aichat--i-frame-panel__content .cds-aichat--i-frame-component__status-container{\n background-color:var(--cds-chat-shell-background, #ffffff);\n}\n:host .cds-aichat--i-frame-panel__content .cds-aichat--i-frame-component__wrapper{\n flex:1;\n block-size:unset;\n}\n:host{\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--i-frame-preview-card .cds-aichat--image{\n position:unset;\n transition:none;\n }\n}\n:host .cds-aichat--i-frame-preview-card .cds-aichat--image{\n position:unset;\n transition:150ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n:host .cds-aichat--i-frame-preview-card:focus .cds-aichat--image{\n outline:2px solid var(--cds-focus, #0f62fe);\n}\n:host .cds-aichat--i-frame-preview-card:hover .cds-aichat--image{\n background-color:var(--cds-layer-hover);\n text-decoration:underline;\n}\n:host{\n}\n:host .cds-aichat--inline-i-frame{\n position:relative;\n overflow:hidden;\n background:transparent;\n inline-size:100%;\n padding-block-start:var(--padding-top, 0);\n}\n:host .cds-aichat--inline-i-frame .cds-aichat--i-frame-component__wrapper{\n position:absolute;\n inset-block-start:0;\n inset-inline-start:0;\n}\n:host{\n}\n:host .cds-aichat--i-frame-component__wrapper{\n position:relative;\n overflow:hidden;\n background:transparent;\n}\n:host .cds-aichat--i-frame-component__wrapper,\n:host .cds-aichat--i-frame-component__i-frame{\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--i-frame-component__status-container{\n position:absolute;\n display:flex;\n align-items:center;\n justify-content:center;\n background-color:var(--cds-chat-shell-background, #ffffff);\n block-size:100%;\n inline-size:100%;\n inset-block-start:0;\n inset-inline-start:0;\n}\n:host .cds-aichat--i-frame-component__status-container .cds-aichat--loading-spinner{\n block-size:48px;\n inline-size:48px;\n}\n:host .cds-aichat--i-frame-panel .cds-aichat--panel-content{\n display:flex;\n flex:1;\n flex-direction:column;\n}\n:host .cds-aichat--i-frame-panel__content{\n block-size:100%;\n inline-size:100%;\n}\n:host{\n}\n:host .cds-aichat--image{\n overflow:hidden;\n padding:0;\n min-block-size:0;\n min-inline-size:0;\n}\n:host cds-ai-skeleton-placeholder.cds-aichat--image__skeleton::part(skeleton-placeholder\n ),\n:host cds-skeleton-placeholder.cds-aichat--image__skeleton::part(placeholder){\n block-size:192px;\n inline-size:100%;\n}\n:host .cds-aichat--image__image-wrapper{\n background-color:var(--cds-layer-02, #ffffff);\n}\n:host .cds-aichat--image__image{\n display:none;\n block-size:0;\n max-inline-size:100%;\n opacity:0;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--image__image--loaded{\n animation:none;\n animation-duration:110ms;\n animation-iteration-count:1;\n animation-timing-function:cubic-bezier(0.2, 0, 0.38, 0.9);\n block-size:auto;\n opacity:1;\n }\n}\n:host .cds-aichat--image__image--loaded{\n animation-duration:110ms;\n animation-iteration-count:1;\n animation-name:cds-chat-fade-in-img;\n animation-timing-function:cubic-bezier(0.2, 0, 0.38, 0.9);\n block-size:auto;\n opacity:1;\n}\n:host{\n}\n:host .cds-aichat--image .cds-aichat--image__image--loaded{\n display:block;\n margin:auto;\n}\n:host .cds-aichat--image__text-and-icon .cds-aichat--text-holder-tile__url{\n padding-inline-end:calc(1rem + 2px);\n}\n:host .cds-aichat--image__icon-only .cds-aichat--image__icon{\n padding:0.75rem;\n border-radius:var(--cds-aichat-card-border-radius, 0.5rem);\n background-color:var(--cds-overlay, rgba(0, 0, 0, 0.6));\n fill:var(--cds-icon-on-color, #ffffff);\n}\n:host svg.cds-aichat--image__icon{\n display:block;\n margin-block-end:1rem;\n margin-inline:auto 1rem;\n}\n:host .cds-aichat--image__icon-only .cds-aichat--image__icon,\n:host svg.cds-aichat--image__icon--link{\n position:absolute;\n margin:0;\n inset-block-end:1rem;\n inset-inline-end:1rem;\n}\n:host svg.cds-aichat--image__icon--link{\n color:var(--cds-link-primary, #0f62fe);\n}\n:host .cds-aichat--container--render[dir=rtl] svg.cds-aichat--image__icon--link{\n inset-inline:0.5rem unset;\n}\n:host{\n}\n:host .cds-aichat--button-holder{\n margin-block-start:0.5rem;\n}\n:host .cds-aichat--button-holder ul{\n padding:0;\n margin:0;\n list-style:none;\n}\n:host .cds-aichat--button-holder ul li{\n display:inline-block;\n padding:0 0.5rem 0.5rem 0;\n margin:0;\n}\n:host{\n}\n:host .cds-aichat--select-holder{\n padding:0 1px;\n inline-size:100%;\n margin-block-start:1rem;\n max-inline-size:380px;\n}\n:host{\n}\n:host .cds-aichat--custom-select-temporary-padding{\n padding-block-end:5rem;\n}\n:host cds-dropdown::part(trigger-button){\n block-size:2.5rem;\n}\n:host cds-dropdown::part(menu-body){\n position:static;\n}\n:host{\n}\n:host .cds-aichat--text-area{\n position:relative;\n block-size:-moz-fit-content;\n block-size:fit-content;\n}\n:host .cds-aichat--text-area .cds-aichat--text-area-textarea,\n:host .cds-aichat--text-area .cds-aichat--text-area-sizer{\n font-size:var(--cds-body-02-font-size, 1rem);\n font-weight:var(--cds-body-02-font-weight, 400);\n line-height:var(--cds-body-02-line-height, 1.5);\n letter-spacing:var(--cds-body-02-letter-spacing, 0);\n padding:0;\n border:2px solid transparent;\n margin:0;\n block-size:100%;\n inline-size:100%;\n white-space:pre-wrap;\n word-wrap:break-word;\n}\n:host .cds-aichat--text-area .cds-aichat--text-area-textarea:focus{\n border:2px solid var(--cds-focus, #0f62fe);\n border-radius:0;\n outline:0;\n}\n:host .cds-aichat--text-area .cds-aichat--text-area-textarea::-moz-focus-inner{\n border:2px solid var(--cds-focus, #0f62fe);\n border-radius:0;\n outline:0;\n}\n:host .cds-aichat--text-area.cds-aichat--text-area--auto-size .cds-aichat--text-area-textarea{\n position:absolute;\n overflow:hidden;\n inset-block-start:0;\n resize:none;\n}\n:host{\n}\n:host .cds-aichat--text-area .cds-aichat--text-area-sizer{\n padding-block-end:1px;\n visibility:hidden;\n white-space:pre-wrap;\n word-wrap:break-word;\n}\n:host{\n}\n:host .cds-aichat--body-message-components__message-wrapper{\n padding:1rem;\n}\n:host .cds-aichat--body-message-components__message-wrapper.cds-aichat--body-message-components__message-wrapper--short-bottom-padding{\n padding-block-end:0.75rem;\n}\n:host .cds-aichat--body-message-components .cds-aichat--media-player__skeleton,\n:host .cds-aichat--body-message-components .cds-aichat--media-player,\n:host .cds-aichat--body-message-components .cds-aichat--image{\n border:none;\n}\n:host{\n}\n:host .cds-aichat--body-message-components__message-wrapper.cds-aichat--body-message-components__message-wrapper--short-bottom-padding + .cds-aichat--body-message-components__message-wrapper:not(.cds-aichat--body-message-components__message-wrapper--full-width){\n padding-block-start:0;\n}\n:host .cds-aichat--body-message-components__message-wrapper.cds-aichat--body-message-components__message-wrapper--full-width{\n padding:0;\n}\n:host{\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--clickable-image{\n position:relative;\n overflow:hidden;\n padding:0;\n border:none;\n border-radius:var(--cds-aichat-card-border-radius, 0.5rem);\n background-color:unset;\n color:unset;\n cursor:pointer;\n inline-size:100%;\n max-inline-size:var(--cds-aichat-card-max-width, 424px);\n outline:none;\n outline-offset:-2px;\n text-align:unset;\n transition:none;\n }\n}\n:host .cds-aichat--clickable-image{\n position:relative;\n overflow:hidden;\n padding:0;\n border:none;\n border-radius:var(--cds-aichat-card-border-radius, 0.5rem);\n background-color:unset;\n color:unset;\n cursor:pointer;\n inline-size:100%;\n max-inline-size:var(--cds-aichat-card-max-width, 424px);\n outline:none;\n outline-offset:-2px;\n text-align:unset;\n transition:150ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n:host a.cds-aichat--clickable-image .cds-aichat--text-holder-tile__title{\n color:var(--cds-text-primary, #161616);\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--clickable-image .cds-aichat--image{\n position:unset;\n transition:none;\n }\n}\n:host .cds-aichat--clickable-image .cds-aichat--image{\n position:unset;\n transition:150ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n:host .cds-aichat--clickable-image .cds-aichat--image__image{\n -webkit-user-select:none;\n -moz-user-select:none;\n user-select:none;\n}\n:host .cds-aichat--clickable-image:disabled{\n cursor:not-allowed;\n}\n:host .cds-aichat--clickable-image:disabled .cds-aichat--image{\n opacity:0.5;\n}\n:host .cds-aichat--clickable-image:enabled:focus{\n outline:2px solid var(--cds-focus, #0f62fe);\n}\n:host .cds-aichat--clickable-image:enabled:hover .cds-aichat--image{\n background-color:var(--cds-layer-hover);\n text-decoration:underline;\n}\n:host .cds-aichat--clickable-image:enabled:hover .cds-aichat--image__image{\n opacity:0.8;\n}\n:host{\n}\n:host .cds-aichat--description{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--disclaimer__title,\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--disclaimer__description{\n text-align:end;\n}\n:host{\n}\n:host .cds-aichat--footer-button-components{\n display:flex;\n inline-size:100%;\n}\n:host .cds-aichat--footer-button-components cds-button.cds-aichat--button-item{\n flex:auto;\n}\n:host .cds-aichat--footer-button-components cds-button[href][kind=ghost] svg{\n fill:var(--cds-link-primary, #0f62fe);\n}\n:host cds-aichat-card .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column){\n gap:0.0625rem;\n}\n:host cds-aichat-card .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column):not(:has([kind=ghost])){\n background-color:var(--cds-button-separator, #e0e0e0);\n}\n:host cds-aichat-card .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column):has([kind=ghost]){\n border-block-start:0.0625rem solid var(--cds-chat-bubble-border, #e0e0e0);\n}\n:host cds-aichat-card .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column) .cds-aichat--button-item:first-child::part(button){\n border-end-start-radius:max(0px, 0.5rem - 0.0625rem);\n}\n:host cds-aichat-card .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column) .cds-aichat--button-item:last-child::part(button){\n border-end-end-radius:max(0px, 0.5rem - 0.0625rem);\n}\n:host cds-aichat-card .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column{\n flex-direction:column;\n}\n:host cds-aichat-card .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column .cds-aichat--button-item[kind=ghost]{\n border-block-start:0.0625rem solid var(--cds-chat-bubble-border, #e0e0e0);\n}\n:host cds-aichat-card .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column .cds-aichat--button-item:last-child::part(button){\n border-end-end-radius:max(0px, 0.5rem - 0.0625rem);\n border-end-start-radius:max(0px, 0.5rem - 0.0625rem);\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column){\n gap:0.0625rem;\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column):not(:has([kind=ghost])){\n background-color:var(--cds-button-separator, #e0e0e0);\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column):has([kind=ghost]){\n border-block-start:0.0625rem solid var(--cds-chat-bubble-border, #e0e0e0);\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column) .cds-aichat--button-item:first-child::part(button){\n border-end-start-radius:max(0px, calc(var(--cds-aichat-border-radius, 0px) - 0.0625rem) - 0.0625rem);\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components:not(.cds-aichat--footer-button-components--column) .cds-aichat--button-item:last-child::part(button){\n border-end-end-radius:max(0px, calc(var(--cds-aichat-border-radius, 0px) - 0.0625rem) - 0.0625rem);\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column{\n flex-direction:column;\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column .cds-aichat--button-item[kind=ghost]{\n border-block-start:0.0625rem solid var(--cds-chat-bubble-border, #e0e0e0);\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay-panel .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column .cds-aichat--button-item:last-child::part(button){\n border-end-end-radius:max(0px, calc(var(--cds-aichat-border-radius, 0px) - 0.0625rem) - 0.0625rem);\n border-end-start-radius:max(0px, calc(var(--cds-aichat-border-radius, 0px) - 0.0625rem) - 0.0625rem);\n}\n:host .cds-aichat--widget__animation-container--with-branding-banner .cds-aichat--overlay-panel .cds-aichat--footer-button-components .cds-aichat--button-item:first-child::part(button),\n:host .cds-aichat--widget:not(.cds-aichat--widget--rounded) .cds-aichat--widget__animation-container:not(.cds-aichat--widget__animation-container--with-branding-banner) .cds-aichat--overlay-panel .cds-aichat--footer-button-components .cds-aichat--button-item:first-child::part(button){\n border-end-start-radius:0;\n}\n:host .cds-aichat--widget__animation-container--with-branding-banner .cds-aichat--overlay-panel .cds-aichat--footer-button-components .cds-aichat--button-item:last-child::part(button),\n:host .cds-aichat--widget:not(.cds-aichat--widget--rounded) .cds-aichat--widget__animation-container:not(.cds-aichat--widget__animation-container--with-branding-banner) .cds-aichat--overlay-panel .cds-aichat--footer-button-components .cds-aichat--button-item:last-child::part(button){\n border-end-end-radius:0;\n}\n:host .cds-aichat--widget__animation-container--with-branding-banner .cds-aichat--overlay-panel .cds-aichat--footer-button-components--column .cds-aichat--button-item.cds-aichat--button-item:last-child::part(button),\n:host .cds-aichat--footer-button-components.cds-aichat--footer-button-components--column .cds-aichat--button-item.cds-aichat--button-item:not(:last-child::part(button)){\n border-end-end-radius:0;\n border-end-start-radius:0;\n}\n:host{\n}\n:host .cds-aichat--media-player,\n:host .cds-aichat--media-player__skeleton{\n overflow:hidden;\n padding:0;\n}\n:host .cds-aichat--media-player__wrapper{\n overflow:hidden;\n}\n:host .cds-aichat--media-player__skeleton-container,\n:host .cds-aichat--media-player__wrapper{\n position:relative;\n padding-block-start:0;\n}\n:host .cds-aichat--media-player__background{\n background-color:var(--cds-layer-accent-01, #e0e0e0);\n}\n:host .cds-aichat--media-player__background--audio{\n display:flex;\n align-items:center;\n justify-content:center;\n}\n:host .cds-aichat--media-player__player iframe{\n block-size:100%;\n inline-size:100%;\n max-block-size:100%;\n max-inline-size:100%;\n}\n:host .cds-aichat--media-player__music-icon{\n fill:var(--cds-icon-on-color, #ffffff);\n}\n:host cds-ai-skeleton-placeholder.cds-aichat--media-player__skeleton-player::part(skeleton-placeholder\n ),\n:host cds-skeleton-placeholder.cds-aichat--media-player__skeleton-player::part(placeholder\n ),\n:host .cds-aichat--media-player__background,\n:host .cds-aichat--media-player__player{\n position:absolute;\n border-radius:0;\n inset-block-start:0;\n inset-inline-start:0;\n}\n:host cds-ai-skeleton-placeholder.cds-aichat--media-player__skeleton-player::part(skeleton-placeholder\n ),\n:host cds-skeleton-placeholder.cds-aichat--media-player__skeleton-player::part(placeholder\n ),\n:host .cds-aichat--media-player__background{\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--media-player__root{\n inline-size:100%;\n}\n:host .cds-aichat--media-player__skeleton-text-container{\n padding:1rem;\n}\n:host .cds-aichat--media-transcript{\n padding:0 1rem 1rem 1rem;\n}\n:host .cds-aichat--media-transcript__toggle{\n font-size:var(--cds-label-01-font-size, 0.75rem);\n font-weight:var(--cds-label-01-font-weight, 400);\n line-height:var(--cds-label-01-line-height, 1.33333);\n letter-spacing:var(--cds-label-01-letter-spacing, 0.32px);\n display:flex;\n align-items:center;\n justify-content:space-between;\n padding:0;\n border:0;\n margin:0;\n background-color:transparent;\n color:var(--cds-text-secondary, #525252);\n cursor:pointer;\n text-align:start;\n}\n:host .cds-aichat--media-transcript__toggle:hover{\n background-color:var(--cds-layer-hover-01, #e8e8e8);\n}\n:host .cds-aichat--media-transcript__toggle:focus{\n outline:2px solid var(--cds-focus, #0f62fe);\n outline-offset:-2px;\n}\n:host .cds-aichat--media-transcript__toggle-label{\n display:flex;\n align-items:center;\n font-weight:600;\n}\n:host .cds-aichat--media-transcript__language{\n color:var(--cds-text-secondary, #525252);\n font-weight:400;\n}\n:host .cds-aichat--media-transcript__toggle-icon{\n flex-shrink:0;\n margin-inline-start:0.5rem;\n}\n:host .cds-aichat--media-transcript__content--visible{\n padding-block-start:0.5rem;\n}\n:host{\n}\n:host .cds-aichat--received--metablock{\n color:var(--cds-text-primary, #161616);\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--received--metablock-content:nth-child(2){\n margin-block-start:0.5rem;\n}\n:host{\n}\n:host .cds-aichat--text-holder-tile{\n display:flex;\n padding:1rem;\n min-block-size:initial;\n}\n:host .cds-aichat--text-holder-tile__icon{\n flex:0 1 auto;\n margin:0.125rem 0.5rem 0 0;\n}\n:host .cds-aichat--text-holder-tile__wrapper{\n flex:1 1;\n align-self:center;\n}\n:host .cds-aichat--text-holder-tile__title{\n font-size:var(--cds-body-02-font-size, 1rem);\n font-weight:var(--cds-body-02-font-weight, 400);\n line-height:var(--cds-body-02-line-height, 1.5);\n letter-spacing:var(--cds-body-02-letter-spacing, 0);\n font-weight:400;\n min-block-size:unset;\n}\n:host .cds-aichat--text-holder-tile__description{\n color:var(--cds-text-secondary, #525252);\n}\n:host .cds-aichat--text-holder-tile__description,\n:host .cds-aichat--text-holder-tile__url{\n font-size:var(--cds-caption-01-font-size, 0.75rem);\n font-weight:var(--cds-caption-01-font-weight, 400);\n line-height:var(--cds-caption-01-line-height, 1.33333);\n letter-spacing:var(--cds-caption-01-letter-spacing, 0.32px);\n min-block-size:unset;\n}\n:host .cds-aichat--text-holder-tile__description-margin{\n margin-block-start:0.125rem;\n}\n:host .cds-aichat--text-holder-tile__url{\n color:var(--cds-link-primary, #0f62fe);\n}\n:host .cds-aichat--text-holder-tile__url-margin{\n margin-block-start:1rem;\n}\n@supports (-webkit-line-clamp: 3){\n :host .cds-aichat--text-holder-tile__description{\n display:-webkit-box;\n overflow:hidden;\n -webkit-box-orient:vertical;\n -webkit-line-clamp:3;\n white-space:normal;\n }\n}\n@supports (-webkit-line-clamp: 2){\n :host .cds-aichat--text-holder-tile__title{\n display:-webkit-box;\n overflow:hidden;\n -webkit-box-orient:vertical;\n -webkit-line-clamp:2;\n white-space:normal;\n }\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--text-holder-tile__icon{\n margin-inline:0.5rem 0;\n}\n:host{\n}\n:host .cds-aichat--search-result-highlight{\n background-color:var(--cds-highlight, #d0e2ff);\n}\n:host{\n}\n:host .cds-aichat--citation-card{\n display:block;\n inline-size:100%;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable{\n padding:0;\n border:none;\n border-radius:0.5rem;\n cursor:pointer;\n inline-size:100%;\n padding-inline-end:0;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable cds-aichat-card,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable cds-aichat-card{\n border:none;\n box-shadow:0 0 0 1px inset var(--cds-chat-bubble-border, #e0e0e0);\n transition:150ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--message a.cds-aichat--citation-card--clickable cds-aichat-card,\n :host .cds-aichat--message button.cds-aichat--citation-card--clickable cds-aichat-card{\n border:none;\n box-shadow:0 0 0 1px inset var(--cds-chat-bubble-border, #e0e0e0);\n transition:none;\n }\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable:focus,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable:focus{\n text-decoration:none;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable:focus cds-aichat-card,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable:focus cds-aichat-card{\n box-shadow:0 0 0 2px inset var(--cds-focus, #0f62fe);\n text-decoration:none;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable:hover,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable:hover{\n text-decoration:none;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable:hover cds-aichat-card,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable:hover cds-aichat-card{\n background:var(--cds-layer-hover-01, #e8e8e8);\n text-decoration:none;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable:active,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable:active{\n text-decoration:none;\n}\n:host .cds-aichat--message a.cds-aichat--citation-card--clickable:active cds-aichat-card,\n:host .cds-aichat--message button.cds-aichat--citation-card--clickable:active cds-aichat-card{\n box-shadow:0 0 0 2px inset var(--cds-focus, #0f62fe);\n text-decoration:none;\n}\n:host .cds-aichat--citation-card-header{\n block-size:128px;\n}\n:host .cds-aichat--citation-card-title{\n color:var(--cds-text-secondary, #525252);\n font-size:var(--cds-body-02-font-size, 1rem);\n font-weight:var(--cds-body-02-font-weight, 400);\n line-height:var(--cds-body-02-line-height, 1.5);\n letter-spacing:var(--cds-body-02-letter-spacing, 0);\n padding-block-end:0.5rem;\n}\n:host .cds-aichat--citation-card-text{\n display:-webkit-box;\n overflow:hidden;\n -webkit-box-orient:vertical;\n color:var(--cds-text-secondary, #525252);\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n -webkit-line-clamp:5;\n line-clamp:5;\n text-align:start;\n white-space:normal;\n}\n:host .cds-aichat--citation-card-footer{\n display:flex;\n justify-content:space-between;\n color:var(--cds-link-primary, #0f62fe);\n padding-block-start:1rem;\n}\n:host .cds-aichat--citation-card-label,\n:host .cds-aichat--citation-card-icon{\n font-size:var(--cds-caption-01-font-size, 0.75rem);\n font-weight:var(--cds-caption-01-font-weight, 400);\n line-height:var(--cds-caption-01-line-height, 1.33333);\n letter-spacing:var(--cds-caption-01-letter-spacing, 0.32px);\n}\n:host .cds-aichat--citation-card-icon{\n display:flex;\n align-items:center;\n}\n:host .cds-aichat--message a:hover.cds-aichat--citation-card--clickable{\n cursor:pointer;\n text-decoration:none;\n}\n:host{\n}\n:host .cds-aichat--view-source-panel{\n position:relative;\n display:flex;\n flex-direction:column;\n block-size:100%;\n}\n:host .cds-aichat--view-source-panel .cds-aichat--panel-content{\n flex:1;\n}\n:host .cds-aichat--view-source-panel__content{\n overflow:auto;\n padding:0.75rem;\n background-color:var(--cds-background, #ffffff);\n block-size:100%;\n}\n:host{\n}\n:host .cds-aichat--icon-holder{\n display:flex;\n align-items:center;\n justify-content:center;\n block-size:100%;\n inline-size:100%;\n}\n:host{\n}\n:host .cds-aichat--visually-hidden{\n position:absolute;\n overflow:hidden;\n block-size:1px;\n clip:rect(0 0 0 0);\n clip-path:inset(50%);\n inline-size:1px;\n inset-block-start:0;\n white-space:nowrap;\n}\n:host{\n}\n:host .cds-aichat--non-header-container{\n position:relative;\n display:flex;\n overflow:hidden;\n flex:1 1 0%;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--messages-container__input-container{\n margin:auto;\n inline-size:100%;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--messages-and-input-container{\n position:relative;\n display:flex;\n flex-direction:column;\n inline-size:100%;\n transition:inline-size 110ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n:host .cds-aichat--messages-and-input-container--no-animation{\n transition:none;\n}\n:host .cds-aichat--non-header-container:has(.cds-aichat--workspace-container-panel__open) .cds-aichat--messages-and-input-container{\n inline-size:25%;\n min-inline-size:360px;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--panel-content{\n max-inline-size:1366px;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--panel-content:has(.cds-aichat--workspace-container-panel__open){\n padding-inline:1rem;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--panel-content--workspace-start{\n justify-content:flex-end;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--non-header-container:has(.cds-aichat--workspace-container-panel__open) .cds-aichat--messages-and-input-container{\n padding-inline:1rem;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--messages-container__non-input-container{\n overflow:hidden auto;\n block-size:100%;\n}\n:host .cds-aichat--workspace-container-inner{\n block-size:100%;\n}\n:host .cds-aichat--before-input-element{\n margin:auto;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--workspace-modal cds-modal-body{\n border-block-end:none;\n -webkit-mask-image:none;\n mask-image:none;\n}\n:host .cds-aichat--workspace-modal::part(dialog){\n border:none;\n border-radius:8px;\n}\n:host .cds-aichat--workspace-writeable-element{\n block-size:100%;\n}\n:host .cds-aichat--workspace-container-panel{\n block-size:100%;\n inline-size:0;\n padding-block:2rem;\n padding-inline:1rem;\n transition:inline-size 110ms cubic-bezier(0.2, 0, 0.38, 0.9);\n}\n:host .cds-aichat--workspace-container-panel__open{\n inline-size:75%;\n}\n:host .cds-aichat--workspace-container-panel--no-animation{\n transition:none;\n}\n:host .cds-aichat--messages-container__non-input-container{\n position:relative;\n display:flex;\n overflow:hidden;\n flex:1;\n flex-direction:column;\n}\n:host .cds-aichat--process-wizard-done-button{\n justify-content:center;\n}\n:host .cds-aichat--messages-error-handler{\n padding:1rem;\n}\n:host{\n}\n:host .cds-aichat--overlay-panel--catastrophic_panel .cds-aichat--overlay-panel{\n display:flex;\n flex-direction:column;\n}\n:host .cds-aichat--catastrophic-error{\n display:flex;\n flex:1;\n flex-direction:column;\n justify-content:center;\n border-radius:0.5rem;\n}\n:host .cds-aichat--catastrophic-error--with-header{\n border-start-end-radius:0;\n border-start-start-radius:0;\n}\n:host .cds-aichat--catastrophic-error .cds-aichat--catastrophic-error__error-text-container > svg{\n margin-inline-start:calc(2rem * -1);\n max-block-size:128px;\n max-inline-size:128px;\n padding-inline-start:0.25rem;\n}\n:host .cds-aichat--catastrophic-error__error-text-container{\n margin-block-start:1.5rem;\n margin-inline:2rem;\n}\n:host .cds-aichat--catastrophic-error__error-heading{\n font-size:var(--cds-heading-04-font-size, 1.75rem);\n font-weight:var(--cds-heading-04-font-weight, 400);\n line-height:var(--cds-heading-04-line-height, 1.28572);\n letter-spacing:var(--cds-heading-04-letter-spacing, 0);\n}\n:host .cds-aichat--catastrophic-error__error-body{\n color:var(--cds-text-secondary, #525252);\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n margin-block-start:1rem;\n}\n:host .cds-aichat--catastrophic-error__restart-button{\n display:block;\n margin-block-start:1rem;\n}\n:host .cds-aichat--catastrophic-error--with-header .cds-aichat--catastrophic-error__error-text-container{\n margin-block-end:41px;\n}\n:host .cds-aichat--wide-width.cds-aichat--widget--max-width .cds-aichat--catastrophic-error.cds-aichat--panel-content{\n max-inline-size:100%;\n}\n:host .cds-aichat--wide-width.cds-aichat--widget--max-width .cds-aichat--catastrophic-error__error-text-container{\n margin:auto;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host{\n}\n:host .cds-aichat--disclaimer-container{\n display:flex;\n flex-basis:100%;\n flex-direction:column;\n justify-content:space-between;\n block-size:100%;\n}\n:host .cds-aichat--disclaimer{\n display:flex;\n flex-basis:100%;\n flex-direction:column;\n justify-content:space-between;\n block-size:100%;\n color:var(--cds-text-primary, #161616);\n}\n:host .cds-aichat--disclaimer__content{\n background-color:var(--cds-chat-shell-background, #ffffff);\n}\n:host .cds-aichat--disclaimer .cds-aichat--header{\n border-block-end:none;\n color:var(--cds-text-primary, #161616);\n}\n:host .cds-aichat--disclaimer__content.cds-aichat--panel-content,\n:host .cds-aichat--wide-width .cds-aichat--disclaimer__content.cds-aichat--panel-content{\n overflow:hidden auto;\n flex-grow:1;\n padding:0 2rem 0 2rem;\n}\n:host .cds-aichat--disclaimer__icon{\n padding:1.5rem 0 1.5rem 0;\n margin-inline-start:calc(1.5rem * -1);\n}\n:host .cds-aichat--disclaimer__icon > svg{\n block-size:128px;\n inline-size:128px;\n}\n:host .cds-aichat--disclaimer__title{\n display:block;\n font-size:var(--cds-heading-04-font-size, 1.75rem);\n font-weight:var(--cds-heading-04-font-weight, 400);\n line-height:var(--cds-heading-04-line-height, 1.28572);\n letter-spacing:var(--cds-heading-04-letter-spacing, 0);\n inline-size:100%;\n padding-block-end:1rem;\n}\n:host .cds-aichat--disclaimer__description{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n padding-block-end:1rem;\n}\n:host .cds-aichat--disclaimer__buttons{\n border-block-start:1px solid var(--cds-border-subtle-01, #c6c6c6);\n inline-size:100%;\n}\n:host .cds-aichat--wide-width .cds-aichat--disclaimer__buttons{\n display:flex;\n flex-direction:row-reverse;\n}\n:host .cds-aichat--wide-width .cds-aichat--disclaimer__buttons cds-button.cds-aichat--disclaimer__accept-button{\n inline-size:288px;\n}\n:host .cds-aichat--narrow-width .cds-aichat--disclaimer__buttons cds-button.cds-aichat--disclaimer__accept-button,\n:host .cds-aichat--standard-width .cds-aichat--disclaimer__buttons cds-button.cds-aichat--disclaimer__accept-button{\n inline-size:100%;\n max-inline-size:unset;\n}\n:host .cds-aichat--narrow-width .cds-aichat--disclaimer__buttons cds-button.cds-aichat--disclaimer__accept-button::part(button),\n:host .cds-aichat--standard-width .cds-aichat--disclaimer__buttons cds-button.cds-aichat--disclaimer__accept-button::part(button){\n border-end-end-radius:var(--cds-aichat-border-radius, 0px);\n border-end-start-radius:var(--cds-aichat-border-radius, 0px);\n}\n:host .cds-aichat--widget--max-width.cds-aichat--wide-width .cds-aichat--disclaimer__buttons-padding{\n display:flex;\n justify-content:flex-end;\n margin:auto;\n inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host{\n}\n:host .cds-aichat--error-icon{\n fill:var(--cds-support-error, #da1e28);\n vertical-align:middle;\n}\n:host .cds-aichat--error-icon path[data-icon-path=inner-path]{\n fill:var(--cds-icon-on-color, #ffffff);\n opacity:1;\n}\n:host{\n}\n:host .cds-aichat--hydrating-container{\n display:flex;\n overflow:hidden;\n flex-direction:column;\n block-size:100%;\n}\n:host .cds-aichat--hydrating{\n display:flex;\n align-items:center;\n justify-content:center;\n block-size:100%;\n}\n:host .cds-aichat--hydrating.cds-aichat--hydrating--home-screen circle{\n stroke:var(--cds-text-primary, #161616);\n}\n:host .cds-aichat--hydrating .cds-aichat--loading-spinner{\n block-size:48px;\n inline-size:48px;\n margin-block-start:-64px;\n}\n:host .cds-aichat--hydrating .cds-aichat--loading-spinner path{\n stroke:var(--cds-interactive, #0f62fe);\n}\n:host .cds-aichat--widget--max-width .cds-aichat--hydrating.cds-aichat--panel-content{\n max-inline-size:100%;\n}\n:host{\n}\n:host .cds-aichat--header-with-panel{\n position:absolute;\n z-index:100;\n inline-size:100%;\n inset-block-start:0;\n}\n:host .cds-aichat--overlay-panel--disclaimer_panel{\n z-index:99;\n}\n:host .cds-aichat--overlay-panel--custom_panel{\n z-index:95;\n}\n:host .cds-aichat--overlay-panel--panel_response{\n z-index:94;\n}\n:host .cds-aichat--overlay-panel--button_response_panel{\n z-index:93;\n}\n:host .cds-aichat--overlay-panel--hydrating_panel{\n z-index:90;\n}\n:host .cds-aichat--overlay-panel--catastrophic_panel{\n z-index:80;\n}\n:host .cds-aichat--overlay-panel--home_screen_panel{\n z-index:30;\n}\n:host .cds-aichat--overlay-panel--conversational_search_citation_panel{\n z-index:6;\n}\n:host .cds-aichat--overlay-panel--iframe_panel{\n z-index:5;\n}\n:host .cds-aichat--overlay-panel-container{\n position:absolute;\n block-size:100%;\n inline-size:100%;\n inset-block-start:0;\n}\n:host .cds-aichat--overlay-panel-container--animating{\n overflow:hidden;\n}\n:host .cds-aichat--widget--rounded .cds-aichat--overlay--covering.cds-aichat--overlay-panel-container .cds-aichat--header--content{\n border-start-end-radius:0.5rem;\n border-start-start-radius:0.5rem;\n}\n:host .cds-aichat--widget--rounded .cds-aichat--wide-width .cds-aichat--overlay--covering .cds-aichat--header__left-buttons{\n border-start-start-radius:0.5rem;\n}\n:host .cds-aichat--widget--rounded .cds-aichat--wide-width .cds-aichat--overlay--covering .cds-aichat--header__right-buttons{\n border-start-end-radius:0.5rem;\n}\n:host .cds-aichat--overlay-panel{\n position:absolute;\n display:block;\n box-sizing:border-box;\n border-radius:0;\n margin:0;\n block-size:100%;\n inline-size:100%;\n inset-block-start:0;\n min-block-size:100%;\n text-align:start;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel{\n inset-inline:unset 0;\n text-align:end;\n}\n:host .cds-aichat--overlay-panel--closed{\n display:none;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--opening--fade-in{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--opening--fade-in{\n animation:240ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-fade-in both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--opening--slide-in-from-left{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--opening--slide-in-from-left{\n animation:240ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-slide-in-from-left both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--opening--slide-in-from-right{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--opening--slide-in-from-right{\n animation:240ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-slide-in-from-right both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--opening--slide-in-from-left{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--opening--slide-in-from-left{\n animation:240ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-slide-in-from-right both;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--opening--slide-in-from-right{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--opening--slide-in-from-right{\n animation:240ms cubic-bezier(0, 0, 0.3, 1) cds-aichat-slide-in-from-left both;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--opening--slide-in-from-bottom{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--opening--slide-in-from-bottom{\n animation:240ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-in-from-bottom both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--closing--fade-out{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--closing--fade-out{\n animation:240ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-fade-out both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--closing--slide-out-to-left{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--closing--slide-out-to-left{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-out-to-left both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--closing--slide-out-to-right{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--closing--slide-out-to-right{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-out-to-right both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--closing--slide-out-to-top{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--closing--slide-out-to-top{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-out-to-top both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--closing--slide-out-to-left{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--closing--slide-out-to-left{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-out-to-right both;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--closing--slide-out-to-right{\n animation:none;\n }\n}\n@media screen and (prefers-reduced-motion: no-preference){\n :host .cds-aichat--container--render[dir=rtl] .cds-aichat--overlay-panel--closing--slide-out-to-right{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-out-to-left both;\n }\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--closing--slide-out-to-bottom{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--closing--slide-out-to-bottom{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-out-to-bottom both;\n}\n:host .cds-aichat--overlay-panel-container:has(.cds-aichat--overlay-panel--with-back-button){\n block-size:calc(100% - var(--cds-aichat--header-height, 0px) + 1px);\n border-start-end-radius:0;\n border-start-start-radius:0;\n inset-block-start:calc(var(--cds-aichat--header-height, 0) - 1px);\n}\n:host .cds-aichat--overlay-panel--with-back-button{\n overflow:hidden;\n border:1px solid var(--cds-border-subtle-00, #e0e0e0);\n background-color:var(--cds-chat-shell-background, #ffffff);\n block-size:100%;\n border-start-end-radius:0;\n border-start-start-radius:0;\n inline-size:100%;\n inset-block-start:0;\n inset-inline-start:50%;\n max-inline-size:var(--cds-aichat-max-width, 100%);\n transform:translateX(-50%);\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--overlay-panel--with-back-button.cds-aichat--overlay-panel--opening--slide-in-from-bottom{\n animation:none;\n }\n}\n:host .cds-aichat--overlay-panel--with-back-button.cds-aichat--overlay-panel--opening--slide-in-from-bottom{\n animation:240ms cubic-bezier(0.4, 0.14, 1, 1) cds-aichat-slide-in-from-bottom-below-header both;\n}\n@keyframes cds-aichat-slide-in-from-bottom-below-header{\n from{\n inset-block-start:100%;\n }\n to{\n inset-block-start:0;\n }\n}\n:host{\n}\n:host .cds-aichat--response-stopped{\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n color:var(--cds-text-secondary, #525252);\n font-style:italic;\n margin-block-start:1rem;\n}\n:host .cds-aichat--standard-width .cds-aichat--conversational-search + .cds-aichat--response-stopped,\n:host .cds-aichat--wide-width .cds-aichat--conversational-search + .cds-aichat--response-stopped{\n padding-inline-start:56px;\n}\n:host .cds-aichat--narrow-width .cds-aichat--conversational-search + .cds-aichat--response-stopped{\n padding-inline-start:16px;\n}\n:host{\n}\n:host .cds-aichat--hidden{\n display:none;\n}\n:host .cds-aichat--widget__break-word{\n overflow-wrap:break-word;\n word-break:break-word;\n word-wrap:break-word;\n}\n:host .cds-aichat--widget__text-ellipsis{\n overflow:hidden;\n overflow-wrap:break-word;\n text-overflow:ellipsis;\n white-space:nowrap;\n word-wrap:break-word;\n}\n:host .cds-aichat--container--render{\n box-sizing:border-box;\n block-size:100%;\n color:var(--cds-text-primary, #161616);\n font-family:\"IBM Plex Sans\", \"Helvetica Neue\", arial, sans-serif;\n inline-size:100%;\n}\n:host .cds-aichat--container--render[dir=rtl]{\n direction:rtl;\n}\n:host .cds-aichat--container--render > div > div[role=log]{\n position:absolute;\n overflow:hidden;\n block-size:1px;\n inline-size:1px;\n inset-inline-start:-10000px;\n}\n:host .cds-aichat--modal-host{\n position:fixed;\n z-index:calc(var(--cds-aichat-z-index, 99999) + 1);\n display:none;\n block-size:100vh;\n inline-size:100vw;\n inset-block-start:0;\n inset-inline-start:0;\n pointer-events:none;\n}\n:host{\n}\n:host .cds-aichat--modal-host:has(> *){\n display:block;\n pointer-events:auto;\n}\n:host .cds-aichat--modal-host > *{\n pointer-events:auto;\n}\n:host .cds-aichat--widget{\n position:relative;\n display:flex;\n flex-direction:column;\n block-size:100%;\n box-shadow:var(--cds-aichat-box-shadow, 1px 0 4px hsla(0, 0%, 9%, 0.3));\n -webkit-font-smoothing:antialiased;\n -moz-osx-font-smoothing:grayscale;\n inline-size:100%;\n -webkit-tap-highlight-color:rgba(0, 0, 0, 0);\n text-rendering:optimizelegibility;\n visibility:visible;\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--header{\n background-color:var(--cds-chat-header-background, #ffffff);\n}\n:host .cds-aichat--ai-theme .cds-aichat--widget{\n border:1px solid transparent;\n background:linear-gradient(to top, var(--cds-chat-shell-background, var(--cds-ai-popover-background, #ffffff)) 0%, var(--cds-ai-aura-start, rgba(69, 137, 255, 0.1)) 0%, 15%, var(--cds-ai-aura-end, rgba(255, 255, 255, 0)) 50%) padding-box, linear-gradient(to top, var(--cds-chat-shell-background, var(--cds-ai-popover-background, #ffffff)), var(--cds-chat-shell-background, var(--cds-ai-popover-background, #ffffff))) padding-box, linear-gradient(to bottom, var(--cds-ai-border-start, rgba(166, 200, 255, 0.64)), var(--cds-ai-border-end, #78a9ff)) border-box, linear-gradient(to top, var(--cds-chat-shell-background, var(--cds-ai-popover-background, #ffffff)), var(--cds-chat-shell-background, var(--cds-ai-popover-background, #ffffff))) border-box;\n background-color:var(--cds-chat-shell-background, #ffffff);\n box-shadow:var(--cds-aichat-ai-box-shadow-outer, 0 4px 10px 2px var(--cds-ai-drop-shadow, rgba(15, 98, 254, 0.1)));\n}\n:host .cds-aichat--widget.cds-aichat--widget--frameless{\n border:none;\n box-shadow:none;\n}\n:host{\n}\n:host .cds-aichat--widget .cds-aichat--widget__animation-container{\n position:relative;\n z-index:1;\n flex:1;\n background:var(--cds-chat-shell-background, #ffffff);\n inline-size:100%;\n}\n:host{\n}\n:host .cds-aichat--assistant-container{\n position:absolute;\n block-size:100%;\n inline-size:100%;\n inset-block-start:0;\n inset-inline-start:0;\n}\n:host{\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded{\n border-radius:var(--cds-aichat-border-radius, 0px);\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--view-source-panel,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--home-screen,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--confirm-modal,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--widget__animation-container,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--assistant-container,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--overlay-panel,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--overlay-panel-container,\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--hydrating-container{\n border-end-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-end-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--widget__animation-container{\n border-start-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded{\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--header{\n border-start-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded{\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--input-container{\n border-end-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-end-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded{\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--overlay-panel.cds-aichat--overlay-panel--with-back-button{\n border-end-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-end-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--widget.cds-aichat--widget--rounded .cds-aichat--overlay-panel.cds-aichat--overlay-panel--with-back-button .cds-aichat--header{\n --cds-aichat-border-radius:0;\n}\n:host{\n}\n:host .cds-aichat--grid .cds-aichat--image,\n:host .cds-aichat--grid .cds-aichat--media-player,\n:host .cds-aichat--grid .cds-aichat--media-player__skeleton,\n:host .cds-aichat--body-message-components__message-wrapper .cds-aichat--image,\n:host .cds-aichat--body-message-components__message-wrapper .cds-aichat--media-player,\n:host .cds-aichat--body-message-components__message-wrapper .cds-aichat--media-player__skeleton{\n border-radius:0;\n}\n:host .cds-aichat--widget.cds-aichat--widget--closed .cds-aichat--widget__animation-container{\n overflow:hidden;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--widget.cds-aichat--widget--launched.cds-aichat--widget--default-element{\n animation:none;\n }\n}\n:host .cds-aichat--widget.cds-aichat--widget--launched.cds-aichat--widget--default-element:not(.cds-aichat--is-phone){\n animation:cds-aichat-widget-in 240ms cubic-bezier(0, 0, 0.3, 1) both;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--widget.cds-aichat--widget--closing.cds-aichat--widget--default-element{\n animation:none;\n }\n}\n:host .cds-aichat--widget.cds-aichat--widget--closing.cds-aichat--widget--default-element{\n animation:cds-aichat-widget-out 110ms cubic-bezier(0.4, 0.14, 1, 1) both;\n}\n:host .cds-aichat--widget.cds-aichat--widget.cds-aichat--widget--closed,\n:host .cds-aichat--ai-theme .cds-aichat--widget.cds-aichat--widget.cds-aichat--widget--closed{\n border:none;\n box-shadow:none;\n}\n:host{\n}\n:host .cds-aichat--widget.cds-aichat--widget--default-element.cds-aichat--widget--closed{\n display:none;\n}\n:host{\n}\n:host .cds-aichat--widget.cds-aichat--widget--default-element{\n position:fixed;\n z-index:var(--cds-aichat-z-index, 99999);\n block-size:var(--cds-aichat-height, calc(100vh - 2 * 2rem));\n inline-size:var(--cds-aichat-width, 380px);\n inset:var(--cds-aichat-top-position, auto) var(--cds-aichat-right-position, 2rem) var(--cds-aichat-bottom-position, 3rem) var(--cds-aichat-left-position, auto);\n max-block-size:var(--cds-aichat-max-height, 640px);\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n min-block-size:var(--cds-aichat-min-height, 150px);\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--widget.cds-aichat--widget--default-element{\n inset-inline:var(--cds-aichat-right-position, 2rem) var(--cds-aichat-left-position, auto);\n}\n:host .cds-aichat--is-phone:not(.cds-aichat--container-disable-mobile-enhancements) .cds-aichat--widget{\n position:fixed;\n z-index:var(--cds-aichat-z-index, 99999);\n block-size:var(--cds-aichat-height, calc(100vh - 2 * 2rem));\n inline-size:var(--cds-aichat-width, 380px);\n inset:var(--cds-aichat-top-position, auto) var(--cds-aichat-right-position, 2rem) var(--cds-aichat-bottom-position, 3rem) var(--cds-aichat-left-position, auto);\n max-block-size:var(--cds-aichat-max-height, 640px);\n min-block-size:var(--cds-aichat-min-height, 150px);\n}\n:host .cds-aichat--is-phone:not(.cds-aichat--container-disable-mobile-enhancements) .cds-aichat--widget.cds-aichat--widget--launched.cds-aichat--widget--default-element{\n animation:cds-aichat-widget-in-mobile 240ms cubic-bezier(0, 0, 0.3, 1) both;\n inset-block-end:1px;\n inset-inline-start:1px;\n}\n:host .cds-aichat--is-phone[dir=rtl]:not(.cds-aichat--container-disable-mobile-enhancements) .cds-aichat--widget{\n inset-inline:var(--cds-aichat-right-position, 2rem) var(--cds-aichat-left-position, auto);\n}\n:host .cds-aichat{\n display:flex;\n box-sizing:border-box;\n flex:1;\n flex-direction:column;\n align-content:stretch;\n align-items:stretch;\n border-radius:0;\n margin:0;\n background-color:var(--cds-chat-shell-background, #ffffff);\n block-size:100%;\n color:var(--cds-text-primary, #161616);\n inline-size:100%;\n text-align:start;\n}\n:host .cds-aichat--widget--rounded .cds-aichat{\n border-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host .cds-aichat--ai-theme .cds-aichat{\n background-image:linear-gradient(0deg, var(--cds-ai-aura-start-sm, rgba(69, 137, 255, 0.16)) 0%, 15%, var(--cds-ai-aura-end, rgba(255, 255, 255, 0)) 50%, transparent 100%);\n border-block-end-color:var(--cds-ai-border-strong, #4589ff);\n background-color:var(--cds-chat-shell-background, #ffffff);\n box-shadow:var(--cds-aichat-ai-box-shadow-inner, inset 0 -80px 70px -65px var(--cds-ai-inner-shadow, rgba(69, 137, 255, 0.1))), var(--cds-aichat-ai-box-shadow-outer, 0 4px 10px 2px var(--cds-ai-drop-shadow, rgba(15, 98, 254, 0.1)));\n}\n:host .cds-aichat--ai-theme .cds-aichat--frameless .cds-aichat{\n box-shadow:none;\n}\n:host .cds-aichat.cds-aichat--human-agent-app{\n min-inline-size:unset;\n}\n:host .cds-aichat--widget__layer{\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--widget__focus-trap-glass{\n position:fixed;\n z-index:var(--cds-aichat-z-index, 99999);\n overflow:hidden;\n background:var(--cds-overlay, rgba(0, 0, 0, 0.6));\n block-size:100vh;\n inline-size:100vw;\n inset-block-start:0;\n inset-inline-start:0;\n opacity:0.5;\n}\n:host svg.cds-aichat--icon__logout--reverse{\n transform:scaleX(-1);\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--icon__logout--reverse{\n transform:none;\n}\n:host .cds-aichat--scroll-focus:focus-visible::before{\n position:sticky;\n z-index:1;\n display:block;\n box-sizing:border-box;\n border:solid 2px var(--cds-focus, #0f62fe);\n block-size:100%;\n content:\"\";\n float:inline-start;\n inline-size:100%;\n inset-block-start:0;\n margin-block-start:-100%;\n pointer-events:none;\n}\n:host .cds-aichat--container--render .cds-aichat--reverse-icon svg,\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--direction-has-reversible-svg svg{\n transform:scaleX(-1);\n}\n:host{\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--direction-has-reversible-svg.cds-aichat--reverse-icon svg{\n transform:scaleX(1);\n}\n:host{\n}\n:host .cds-aichat--panel-content{\n overflow:hidden;\n}\n:host .cds-aichat--widget--max-width{\n --cds-aichat-border-radius:0;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--panel-content{\n flex:1;\n margin:auto;\n block-size:100%;\n inline-size:100%;\n}\n:host{\n}\n:host .cds-aichat--widget--rounded .cds-aichat--body-and-footer-component,\n:host .cds-aichat--widget--rounded .cds-aichat--i-frame-panel,\n:host .cds-aichat--widget--rounded .cds-aichat--view-source-panel,\n:host .cds-aichat--widget--rounded .cds-aichat--custom-panel{\n border-end-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-end-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-start-end-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n border-start-start-radius:max(0px, var(--cds-aichat-border-radius, 0px) - 1px);\n}\n:host{\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--message{\n position:relative;\n display:block;\n margin:0;\n animation:none;\n }\n}\n:host .cds-aichat--message{\n position:relative;\n display:block;\n margin:0;\n}\n:host .cds-aichat--message.cds-aichat--message--has-focus::after{\n position:absolute;\n box-sizing:border-box;\n border:solid 2px var(--cds-focus, #0f62fe);\n block-size:100%;\n content:\"\";\n inline-size:100%;\n inset-block-start:0;\n pointer-events:none;\n}\n:host{\n}\n:host .cds-aichat--message.cds-aichat--message--first-message.cds-aichat--message--has-focus::after{\n block-size:calc(100% - 0.5rem);\n inset-block-start:0.5rem;\n}\n:host .cds-aichat--message.cds-aichat--message--last-message.cds-aichat--message--has-focus::after{\n block-size:calc(100% - 2rem + 0.5rem);\n inset-block-end:calc(2rem - 0.5rem);\n}\n:host .cds-aichat--message .cds-aichat--message-vertical-padding,\n:host .cds-aichat--message .cds-aichat--ui-customization-element--response{\n padding-block-start:1rem;\n}\n:host .cds-aichat--message--with-avatar-line .cds-aichat--message-vertical-padding,\n:host .cds-aichat--message--with-avatar-line .cds-aichat--ui-customization-element--response,\n:host .cds-aichat--message--option-response-without-title-or-description .cds-aichat--message-vertical-padding{\n padding-block-start:0;\n}\n:host .cds-aichat--message--option-response-without-title-or-description .cds-aichat--ui-customization-element--response{\n padding-block-start:0;\n}\n:host .cds-aichat--message.cds-aichat--message--custom .cds-aichat--message-vertical-padding,\n:host .cds-aichat--message.cds-aichat--message--custom .cds-aichat--ui-customization-element--response{\n padding-block:0;\n}\n:host .cds-aichat--message__avatar-line + .cds-aichat--message--padding .cds-aichat--assistant-message > div.cds-aichat--received,\n:host .cds-aichat--message__avatar-line + .cds-aichat--message--padding .cds-aichat--assistant-message > div.cds-aichat--received.cds-aichat--received--carousel:not(.cds-aichat--received--carousel-single):first-child,\n:host .cds-aichat--message__avatar-line + .cds-aichat--message--padding .cds-aichat--assistant-message > div.cds-aichat--received.cds-aichat--received--full-width:first-child{\n margin-block-start:0.5rem;\n}\n:host .cds-aichat--message.cds-aichat--message--last-message .cds-aichat--message--padding{\n padding-block-end:1.5rem;\n}\n:host .cds-aichat--sent-container{\n display:flex;\n justify-content:flex-end;\n}\n:host .cds-aichat--message .cds-aichat--received,\n:host .cds-aichat--message .cds-aichat--sent-container{\n flex-grow:1;\n margin-inline:1rem;\n min-inline-size:0;\n}\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--conversational-search,\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--search,\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--received--carousel:not(.cds-aichat--received--carousel-single),\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--full-width,\n:host .cds-aichat--narrow-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--conversational-search,\n:host .cds-aichat--narrow-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--search,\n:host .cds-aichat--narrow-width .cds-aichat--message .cds-aichat--received--carousel:not(.cds-aichat--received--carousel-single),\n:host .cds-aichat--narrow-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--full-width,\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--conversational-search,\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--search,\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--received--carousel:not(.cds-aichat--received--carousel-single),\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--full-width{\n margin-inline:0 1rem;\n}\n:host .cds-aichat--message a:not(button){\n color:var(--cds-link-primary, #0f62fe);\n outline:none;\n text-decoration:none;\n}\n:host .cds-aichat--message a:visited:not(button){\n color:var(--cds-link-primary, #0f62fe);\n}\n:host .cds-aichat--message a:hover:not(button){\n text-decoration:underline;\n}\n:host .cds-aichat--message a:focus:not(button){\n text-decoration:underline;\n}\n:host .cds-aichat--message::after{\n display:table;\n clear:both;\n content:\"\";\n}\n:host .cds-aichat--messages--welcome.cds-aichat--messages--welcome--typing{\n min-block-size:100%;\n}\n:host .cds-aichat--assistant-message{\n position:relative;\n display:flex;\n flex-direction:row;\n max-inline-size:100%;\n}\n:host .cds-aichat--received--inline-error,\n:host .cds-aichat--received--text,\n:host .cds-aichat--message-user-defined-response{\n position:relative;\n color:var(--cds-text-primary, #161616);\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n overflow-wrap:break-word;\n word-break:break-word;\n word-wrap:break-word;\n}\n:host .cds-aichat--message-user-defined-response{\n max-inline-size:100%;\n}\n:host .cds-aichat--received--image{\n position:relative;\n inline-size:90%;\n overflow-wrap:break-word;\n word-break:break-word;\n word-wrap:break-word;\n}\n:host .cds-aichat--received--video,\n:host .cds-aichat--received--audio{\n inline-size:100%;\n overflow-wrap:break-word;\n word-break:break-word;\n word-wrap:break-word;\n}\n:host{\n}\n:host .cds-aichat--sent-and-message-state-container{\n display:flex;\n flex-direction:row;\n justify-content:flex-end;\n}\n:host{\n}\n:host .cds-aichat--message-status{\n display:flex;\n align-items:center;\n margin-inline:8px;\n}\n:host{\n}\n:host .cds-aichat--sent-and-message-state--below-message{\n display:flex;\n flex-direction:column;\n align-items:flex-end;\n}\n:host .cds-aichat--sent-and-message-state--below-message .cds-aichat--message-status{\n margin-inline:0;\n padding-block-start:0.5rem;\n}\n:host{\n}\n:host .cds-aichat--message-status .cds-aichat--loading-spinner circle{\n stroke-width:6;\n}\n@media screen and (prefers-reduced-motion: reduce){\n :host .cds-aichat--sent-container .cds-aichat--message-status-file-success svg{\n animation:none;\n fill:var(--cds-interactive, #0f62fe);\n }\n}\n:host .cds-aichat--sent-container .cds-aichat--message-status-file-success svg{\n animation:150ms cubic-bezier(0.4, 0.14, 1, 1) 2000ms cds-chat-fade-out forwards;\n fill:var(--cds-interactive, #0f62fe);\n}\n:host .cds-aichat--received--loading,\n:host .cds-aichat--search-result,\n:host .cds-aichat--sent--bubble{\n position:relative;\n opacity:1;\n overflow-wrap:break-word;\n word-break:break-word;\n word-wrap:break-word;\n}\n:host .cds-aichat--received--loading .cds-aichat--received--inner{\n position:relative;\n}\n:host .cds-aichat--sent--text > span{\n flex:1;\n white-space:pre-wrap;\n}\n:host .cds-aichat--sent--text{\n display:flex;\n}\n:host svg.cds-aichat--sent-file-icon{\n margin-inline-end:8px;\n}\n:host .cds-aichat--sent{\n display:flex;\n flex-direction:column;\n inline-size:100%;\n}\n:host .cds-aichat--sent--bubble{\n align-self:end;\n padding:0.5rem 0.75rem;\n border:solid 1px var(--cds-chat-bubble-user, #e0e0e0);\n border-radius:0.5rem 0 0.5rem 0.5rem;\n background:var(--cds-chat-bubble-user, #e0e0e0);\n font-size:var(--cds-body-01-font-size, 0.875rem);\n font-weight:var(--cds-body-01-font-weight, 400);\n line-height:var(--cds-body-01-line-height, 1.42857);\n letter-spacing:var(--cds-body-01-letter-spacing, 0.16px);\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--sent--bubble{\n border-radius:0 0.5rem 0.5rem 0.5rem;\n}\n:host .cds-aichat--received--options,\n:host .cds-aichat--received--suggestion{\n position:relative;\n overflow-wrap:break-word;\n word-break:break-word;\n word-wrap:break-word;\n}\n:host .cds-aichat--received--iframe-preview-card{\n overflow:hidden;\n inline-size:100%;\n}\n:host .cds-aichat--assistant-message .cds-aichat--received--agent-status-message{\n color:var(--cds-text-helper, #6f6f6f);\n font-size:var(--cds-caption-01-font-size, 0.75rem);\n font-weight:var(--cds-caption-01-font-weight, 400);\n line-height:var(--cds-caption-01-line-height, 1.33333);\n letter-spacing:var(--cds-caption-01-letter-spacing, 0.32px);\n padding-inline:1rem;\n text-align:center;\n}\n:host .cds-aichat--assistant-message .cds-aichat--received--chat-status-message{\n color:var(--cds-text-secondary, #525252);\n font-size:var(--cds-caption-01-font-size, 0.75rem);\n font-weight:var(--cds-caption-01-font-weight, 400);\n line-height:var(--cds-caption-01-line-height, 1.33333);\n letter-spacing:var(--cds-caption-01-letter-spacing, 0.32px);\n}\n:host .cds-aichat--message--system-message{\n padding-block-start:28px;\n}\n:host .cds-aichat--message__avatar-line{\n display:flex;\n padding-block-start:28px;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--message__label{\n color:var(--cds-text-secondary, #525252);\n font-size:var(--cds-caption-01-font-size, 0.75rem);\n font-weight:var(--cds-caption-01-font-weight, 400);\n line-height:var(--cds-caption-01-line-height, 1.33333);\n letter-spacing:var(--cds-caption-01-letter-spacing, 0.32px);\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--message__reasoning{\n display:flex;\n align-items:center;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--message__reasoning-separator{\n color:var(--cds-text-secondary, #525252);\n margin-inline-end:0.5rem;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--message__avatar{\n display:flex;\n align-items:center;\n justify-content:center;\n block-size:2rem;\n inline-size:2rem;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--message__avatar--assistant svg{\n block-size:28px;\n inline-size:28px;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--image-with-fallback{\n display:flex;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--image-with-fallback img,\n:host .cds-aichat--message__avatar-line .cds-aichat--image-with-fallback .cds-aichat--icon-holder{\n border-radius:14px;\n block-size:28px;\n inline-size:28px;\n}\n:host .cds-aichat--message__avatar-line .cds-aichat--image-with-fallback img svg,\n:host .cds-aichat--message__avatar-line .cds-aichat--image-with-fallback .cds-aichat--icon-holder svg{\n block-size:16px;\n fill:var(--cds-icon-inverse, #ffffff);\n inline-size:16px;\n}\n:host .cds-aichat--message--request .cds-aichat--message__avatar-line{\n justify-content:flex-end;\n padding-inline-end:1rem;\n}\n:host .cds-aichat--message--request .cds-aichat--message__avatar-line .cds-aichat--message__label{\n padding-block-end:0.5rem;\n padding-inline-start:0.5rem;\n}\n:host{\n}\n:host .cds-aichat--message--response .cds-aichat--message__avatar-line{\n padding-inline-start:0.5rem;\n}\n:host .cds-aichat--message--response .cds-aichat--message__avatar-line .cds-aichat--message__label{\n padding-block:0.5rem;\n padding-inline:0.5rem;\n}\n:host .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message + .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message,\n:host .cds-aichat--message--request + .cds-aichat--message--request{\n padding-block-start:0.5rem;\n}\n:host .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message + .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message .cds-aichat--message__avatar-line,\n:host .cds-aichat--message--request + .cds-aichat--message--request .cds-aichat--message__avatar-line{\n display:none;\n}\n:host .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message + .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message .cds-aichat--received--from-human,\n:host .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message + .cds-aichat--message--response:not(.cds-aichat--message--system-message).cds-aichat--message--agent-message .cds-aichat--sent--bubble,\n:host .cds-aichat--message--request + .cds-aichat--message--request .cds-aichat--received--from-human,\n:host .cds-aichat--message--request + .cds-aichat--message--request .cds-aichat--sent--bubble{\n border-radius:0.5rem;\n}\n:host .cds-aichat--message--response:not(.cds-aichat--message--agent-message) .cds-aichat--message__avatar-line + .cds-aichat--message--padding{\n padding-block-start:0.25rem;\n}\n:host .cds-aichat--message__avatar--agent .cds-aichat--image-with-fallback .cds-aichat--icon-holder{\n background-color:var(--cds-chat-avatar-agent, #393939);\n}\n:host .cds-aichat--received--from-human.cds-aichat--received--text{\n padding:0.5rem 0.75rem;\n border:solid 1px var(--cds-chat-bubble-border, #e0e0e0);\n border-radius:0 0.5rem 0.5rem 0.5rem;\n background-color:var(--cds-chat-bubble-agent, #ffffff);\n}\n:host .cds-aichat--received--chain-of-thought{\n margin-block-start:0.75rem;\n}\n:host .cds-aichat--message__reasoning-steps{\n padding-block-end:0.75rem;\n}\n:host .cds-aichat--container--render[dir=rtl] .cds-aichat--received--from-agent.cds-aichat--received--text{\n border-radius:0.5rem 0 0.5rem 0.5rem;\n}\n:host .cds-aichat--message__avatar--assistant .cds-aichat--image-with-fallback .cds-aichat--icon-holder{\n background-color:var(--cds-chat-avatar-bot, #6f6f6f);\n}\n:host{\n}\n:host .cds-aichat--standard-width .cds-aichat--message__avatar-line + .cds-aichat--message--padding .cds-aichat--assistant-message > div.cds-aichat--received,\n:host .cds-aichat--wide-width .cds-aichat--message__avatar-line + .cds-aichat--message--padding .cds-aichat--assistant-message > div.cds-aichat--received{\n margin-block-start:0;\n}\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--agent-status-message,\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--received.cds-aichat--received--agent-status-message{\n margin-inline:0;\n}\n:host{\n}\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--received,\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--received,\n:host .cds-aichat--wide-width .cds-aichat--message .cds-aichat--sent-container,\n:host .cds-aichat--standard-width .cds-aichat--message .cds-aichat--sent-container{\n margin-inline:calc(0.5rem + 2rem + 0.5rem) 1rem;\n}\n:host{\n}\n:host .cds-aichat--messages--holder{\n display:flex;\n overflow:hidden;\n flex:1;\n flex-direction:column;\n}\n:host .cds-aichat--messages__wrapper{\n position:relative;\n overflow:hidden auto;\n flex:1;\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--messages__wrapper:focus{\n outline:none;\n}\n:host .cds-aichat--message--focus-handle,\n:host .cds-aichat--messages--scroll-handle{\n position:absolute;\n display:block;\n overflow:hidden;\n padding:0;\n border:none;\n margin:0;\n block-size:1px;\n clip:rect(0 0 0 0);\n clip-path:inset(50%);\n inline-size:1px;\n outline:none;\n white-space:nowrap;\n}\n:host .cds-aichat--messages__wrapper--scroll-handle-has-focus::after{\n position:absolute;\n box-sizing:border-box;\n border:solid 2px var(--cds-focus, #0f62fe);\n block-size:100%;\n content:\"\";\n inline-size:100%;\n inset-block-start:0;\n pointer-events:none;\n}\n:host .cds-aichat--messages{\n block-size:100%;\n inline-size:100%;\n}\n:host .cds-aichat--widget--max-width .cds-aichat--messages{\n margin:0 auto;\n max-inline-size:var(--cds-aichat-messages-max-width, 672px);\n}\n:host .cds-aichat--processing{\n display:flex;\n align-items:center;\n}\n:host .cds-aichat--processing-component{\n block-size:32px;\n}\n:host .cds-aichat--processing-label{\n font-size:var(--cds-label-02-font-size, 0.875rem);\n font-weight:var(--cds-label-02-font-weight, 400);\n line-height:var(--cds-label-02-line-height, 1.28572);\n letter-spacing:var(--cds-label-02-letter-spacing, 0.16px);\n display:flex;\n align-items:center;\n animation:cds-aichat-fade-in 600ms forwards;\n animation-delay:1200ms;\n block-size:32px;\n color:var(--cds-text-secondary, #525252);\n font-style:italic;\n opacity:0;\n padding-inline-start:0.125rem;\n}\n:host .cds-aichat__scroll-to-bottom{\n position:sticky;\n z-index:1;\n inline-size:2rem;\n inset-block-end:1rem;\n inset-inline-start:50%;\n margin-block-start:-2rem;\n transform:translateX(-50%);\n}\n:host .cds-aichat__scroll-to-bottom-button--hidden{\n display:none;\n}\n:host .cds--white{\n --cds-ai-aura-end:rgba(255, 255, 255, 0);\n --cds-ai-aura-hover-background:#edf5ff;\n --cds-ai-aura-hover-end:rgba(255, 255, 255, 0);\n --cds-ai-aura-hover-start:rgba(69, 137, 255, 0.32);\n --cds-ai-aura-start:rgba(69, 137, 255, 0.1);\n --cds-ai-aura-start-sm:rgba(69, 137, 255, 0.16);\n --cds-ai-border-end:#78a9ff;\n --cds-ai-border-start:rgba(166, 200, 255, 0.64);\n --cds-ai-border-strong:#4589ff;\n --cds-ai-drop-shadow:rgba(15, 98, 254, 0.1);\n --cds-ai-inner-shadow:rgba(69, 137, 255, 0.1);\n --cds-ai-overlay:rgba(0, 17, 65, 0.5);\n --cds-ai-popover-background:#ffffff;\n --cds-ai-popover-caret-bottom:#78a9ff;\n --cds-ai-popover-caret-bottom-background:#eaf1ff;\n --cds-ai-popover-caret-bottom-background-actions:#e9effa;\n --cds-ai-popover-caret-center:#a0c3ff;\n --cds-ai-popover-shadow-outer-01:rgba(0, 67, 206, 0.06);\n --cds-ai-popover-shadow-outer-02:rgba(0, 0, 0, 0.04);\n --cds-ai-skeleton-background:#d0e2ff;\n --cds-ai-skeleton-element-background:#4589ff;\n --cds-background:#ffffff;\n --cds-background-active:rgba(141, 141, 141, 0.5);\n --cds-background-brand:#0f62fe;\n --cds-background-hover:rgba(141, 141, 141, 0.12);\n --cds-background-inverse:#393939;\n --cds-background-inverse-hover:#474747;\n --cds-background-selected:rgba(141, 141, 141, 0.2);\n --cds-background-selected-hover:rgba(141, 141, 141, 0.32);\n --cds-border-disabled:#c6c6c6;\n --cds-border-interactive:#0f62fe;\n --cds-border-inverse:#161616;\n --cds-border-strong-01:#8d8d8d;\n --cds-border-strong-02:#8d8d8d;\n --cds-border-strong-03:#8d8d8d;\n --cds-border-subtle-00:#e0e0e0;\n --cds-border-subtle-01:#c6c6c6;\n --cds-border-subtle-02:#e0e0e0;\n --cds-border-subtle-03:#c6c6c6;\n --cds-border-subtle-selected-01:#c6c6c6;\n --cds-border-subtle-selected-02:#c6c6c6;\n --cds-border-subtle-selected-03:#c6c6c6;\n --cds-border-tile-01:#c6c6c6;\n --cds-border-tile-02:#a8a8a8;\n --cds-border-tile-03:#c6c6c6;\n --cds-chat-avatar-agent:#393939;\n --cds-chat-avatar-bot:#6f6f6f;\n --cds-chat-avatar-user:#0f62fe;\n --cds-chat-bubble-agent:#ffffff;\n --cds-chat-bubble-agent-text:#161616;\n --cds-chat-bubble-border:#e0e0e0;\n --cds-chat-bubble-user:#e0e0e0;\n --cds-chat-bubble-user-text:#161616;\n --cds-chat-button:#0f62fe;\n --cds-chat-button-active:rgba(141, 141, 141, 0.5);\n --cds-chat-button-hover:rgba(141, 141, 141, 0.12);\n --cds-chat-button-selected:rgba(141, 141, 141, 0.2);\n --cds-chat-button-text-hover:#0043ce;\n --cds-chat-button-text-selected:#525252;\n --cds-chat-header-background:#ffffff;\n --cds-chat-header-text:#161616;\n --cds-chat-prompt-background:#ffffff;\n --cds-chat-prompt-border-end:rgba(244, 244, 244, 0);\n --cds-chat-prompt-border-start:#f4f4f4;\n --cds-chat-prompt-text:#161616;\n --cds-chat-shell-background:#ffffff;\n --cds-field-01:#f4f4f4;\n --cds-field-02:#ffffff;\n --cds-field-03:#f4f4f4;\n --cds-field-hover-01:#e8e8e8;\n --cds-field-hover-02:#e8e8e8;\n --cds-field-hover-03:#e8e8e8;\n --cds-focus:#0f62fe;\n --cds-focus-inset:#ffffff;\n --cds-focus-inverse:#ffffff;\n --cds-highlight:#d0e2ff;\n --cds-icon-disabled:rgba(22, 22, 22, 0.25);\n --cds-icon-interactive:#0f62fe;\n --cds-icon-inverse:#ffffff;\n --cds-icon-on-color:#ffffff;\n --cds-icon-on-color-disabled:#8d8d8d;\n --cds-icon-primary:#161616;\n --cds-icon-secondary:#525252;\n --cds-interactive:#0f62fe;\n --cds-layer-01:#f4f4f4;\n --cds-layer-02:#ffffff;\n --cds-layer-03:#f4f4f4;\n --cds-layer-accent-01:#e0e0e0;\n --cds-layer-accent-02:#e0e0e0;\n --cds-layer-accent-03:#e0e0e0;\n --cds-layer-accent-active-01:#a8a8a8;\n --cds-layer-accent-active-02:#a8a8a8;\n --cds-layer-accent-active-03:#a8a8a8;\n --cds-layer-accent-hover-01:#d1d1d1;\n --cds-layer-accent-hover-02:#d1d1d1;\n --cds-layer-accent-hover-03:#d1d1d1;\n --cds-layer-active-01:#c6c6c6;\n --cds-layer-active-02:#c6c6c6;\n --cds-layer-active-03:#c6c6c6;\n --cds-layer-background-01:#ffffff;\n --cds-layer-background-02:#f4f4f4;\n --cds-layer-background-03:#ffffff;\n --cds-layer-hover-01:#e8e8e8;\n --cds-layer-hover-02:#e8e8e8;\n --cds-layer-hover-03:#e8e8e8;\n --cds-layer-selected-01:#e0e0e0;\n --cds-layer-selected-02:#e0e0e0;\n --cds-layer-selected-03:#e0e0e0;\n --cds-layer-selected-disabled:#8d8d8d;\n --cds-layer-selected-hover-01:#d1d1d1;\n --cds-layer-selected-hover-02:#d1d1d1;\n --cds-layer-selected-hover-03:#d1d1d1;\n --cds-layer-selected-inverse:#161616;\n --cds-link-inverse:#78a9ff;\n --cds-link-inverse-active:#f4f4f4;\n --cds-link-inverse-hover:#a6c8ff;\n --cds-link-inverse-visited:#be95ff;\n --cds-link-primary:#0f62fe;\n --cds-link-primary-hover:#0043ce;\n --cds-link-secondary:#0043ce;\n --cds-link-visited:#8a3ffc;\n --cds-overlay:rgba(0, 0, 0, 0.6);\n --cds-shadow:rgba(0, 0, 0, 0.3);\n --cds-skeleton-background:#e8e8e8;\n --cds-skeleton-element:#c6c6c6;\n --cds-support-caution-major:#ff832b;\n --cds-support-caution-minor:#f1c21b;\n --cds-support-caution-undefined:#8a3ffc;\n --cds-support-error:#da1e28;\n --cds-support-error-inverse:#fa4d56;\n --cds-support-info:#0043ce;\n --cds-support-info-inverse:#4589ff;\n --cds-support-success:#24a148;\n --cds-support-success-inverse:#42be65;\n --cds-support-warning:#f1c21b;\n --cds-support-warning-inverse:#f1c21b;\n --cds-syntax-angle-bracket:#697077;\n --cds-syntax-annotation:#007d79;\n --cds-syntax-arithmetic-operator:#343a3f;\n --cds-syntax-atom:#161616;\n --cds-syntax-attribute:#00539a;\n --cds-syntax-attribute-name:#00539a;\n --cds-syntax-attribute-value:#161616;\n --cds-syntax-bitwise-operator:#343a3f;\n --cds-syntax-block-comment:#198038;\n --cds-syntax-bool:#161616;\n --cds-syntax-brace:#343a3f;\n --cds-syntax-bracket:#343a3f;\n --cds-syntax-character:#161616;\n --cds-syntax-class-name:#007d79;\n --cds-syntax-color:#161616;\n --cds-syntax-comment:#198038;\n --cds-syntax-compare-operator:#343a3f;\n --cds-syntax-constant:#0f62fe;\n --cds-syntax-content:#161616;\n --cds-syntax-content-separator:#343a3f;\n --cds-syntax-control-keyword:#6929c4;\n --cds-syntax-control-operator:#6929c4;\n --cds-syntax-definition:#00539a;\n --cds-syntax-definition-keyword:#00539a;\n --cds-syntax-definition-operator:#00539a;\n --cds-syntax-deref-operator:#343a3f;\n --cds-syntax-doc-comment:#198038;\n --cds-syntax-doc-string:#161616;\n --cds-syntax-document-meta:#198038;\n --cds-syntax-emphasis:#161616;\n --cds-syntax-escape:#343a3f;\n --cds-syntax-float:#198038;\n --cds-syntax-function:#8e6a00;\n --cds-syntax-heading:#00539a;\n --cds-syntax-heading-1:#00539a;\n --cds-syntax-heading-2:#00539a;\n --cds-syntax-heading-3:#00539a;\n --cds-syntax-heading-4:#00539a;\n --cds-syntax-heading-5:#00539a;\n --cds-syntax-heading-6:#00539a;\n --cds-syntax-integer:#198038;\n --cds-syntax-invalid:#da1e28;\n --cds-syntax-keyword:#0f62fe;\n --cds-syntax-label-name:#0f62fe;\n --cds-syntax-line-comment:#198038;\n --cds-syntax-link:#0f62fe;\n --cds-syntax-list:#161616;\n --cds-syntax-literal:#161616;\n --cds-syntax-local:#0f62fe;\n --cds-syntax-logic-operator:#343a3f;\n --cds-syntax-macro-name:#161616;\n --cds-syntax-meta:#198038;\n --cds-syntax-modifier:#0f62fe;\n --cds-syntax-module-keyword:#6929c4;\n --cds-syntax-monospace:#161616;\n --cds-syntax-name:#0f62fe;\n --cds-syntax-namespace:#007d79;\n --cds-syntax-null:#161616;\n --cds-syntax-number:#198038;\n --cds-syntax-operator:#343a3f;\n --cds-syntax-operator-keyword:#0f62fe;\n --cds-syntax-paren:#343a3f;\n --cds-syntax-processing-instruction:#161616;\n --cds-syntax-property-name:#00539a;\n --cds-syntax-punctuation:#343a3f;\n --cds-syntax-quote:#198038;\n --cds-syntax-regexp:#6929c4;\n --cds-syntax-self:#007d79;\n --cds-syntax-separator:#343a3f;\n --cds-syntax-special:#0f62fe;\n --cds-syntax-special-string:#8a3ffc;\n --cds-syntax-square-bracket:#343a3f;\n --cds-syntax-standard:#0f62fe;\n --cds-syntax-strikethrough:#161616;\n --cds-syntax-string:#161616;\n --cds-syntax-strong:#161616;\n --cds-syntax-tag:#007d79;\n --cds-syntax-tag-name:#007d79;\n --cds-syntax-type:#007d79;\n --cds-syntax-type-name:#007d79;\n --cds-syntax-type-operator:#007d79;\n --cds-syntax-unit:#198038;\n --cds-syntax-update-operator:#343a3f;\n --cds-syntax-url:#343a3f;\n --cds-syntax-variable:#0f62fe;\n --cds-syntax-variable-name:#0f62fe;\n --cds-text-disabled:rgba(22, 22, 22, 0.25);\n --cds-text-error:#da1e28;\n --cds-text-helper:#6f6f6f;\n --cds-text-inverse:#ffffff;\n --cds-text-on-color:#ffffff;\n --cds-text-on-color-disabled:#8d8d8d;\n --cds-text-placeholder:rgba(22, 22, 22, 0.4);\n --cds-text-primary:#161616;\n --cds-text-secondary:#525252;\n --cds-toggle-off:#8d8d8d;\n --cds-spacing-01:0.125rem;\n --cds-spacing-02:0.25rem;\n --cds-spacing-03:0.5rem;\n --cds-spacing-04:0.75rem;\n --cds-spacing-05:1rem;\n --cds-spacing-06:1.5rem;\n --cds-spacing-07:2rem;\n --cds-spacing-08:2.5rem;\n --cds-spacing-09:3rem;\n --cds-spacing-10:4rem;\n --cds-spacing-11:5rem;\n --cds-spacing-12:6rem;\n --cds-spacing-13:10rem;\n --cds-fluid-spacing-01:0;\n --cds-fluid-spacing-02:2vw;\n --cds-fluid-spacing-03:5vw;\n --cds-fluid-spacing-04:10vw;\n --cds-caption-01-font-size:0.75rem;\n --cds-caption-01-font-weight:400;\n --cds-caption-01-line-height:1.33333;\n --cds-caption-01-letter-spacing:0.32px;\n --cds-caption-02-font-size:0.875rem;\n --cds-caption-02-font-weight:400;\n --cds-caption-02-line-height:1.28572;\n --cds-caption-02-letter-spacing:0.32px;\n --cds-label-01-font-size:0.75rem;\n --cds-label-01-font-weight:400;\n --cds-label-01-line-height:1.33333;\n --cds-label-01-letter-spacing:0.32px;\n --cds-label-02-font-size:0.875rem;\n --cds-label-02-font-weight:400;\n --cds-label-02-line-height:1.28572;\n --cds-label-02-letter-spacing:0.16px;\n --cds-helper-text-01-font-size:0.75rem;\n --cds-helper-text-01-line-height:1.33333;\n --cds-helper-text-01-letter-spacing:0.32px;\n --cds-helper-text-02-font-size:0.875rem;\n --cds-helper-text-02-font-weight:400;\n --cds-helper-text-02-line-height:1.28572;\n --cds-helper-text-02-letter-spacing:0.16px;\n --cds-body-short-01-font-size:0.875rem;\n --cds-body-short-01-font-weight:400;\n --cds-body-short-01-line-height:1.28572;\n --cds-body-short-01-letter-spacing:0.16px;\n --cds-body-short-02-font-size:1rem;\n --cds-body-short-02-font-weight:400;\n --cds-body-short-02-line-height:1.375;\n --cds-body-short-02-letter-spacing:0;\n --cds-body-long-01-font-size:0.875rem;\n --cds-body-long-01-font-weight:400;\n --cds-body-long-01-line-height:1.42857;\n --cds-body-long-01-letter-spacing:0.16px;\n --cds-body-long-02-font-size:1rem;\n --cds-body-long-02-font-weight:400;\n --cds-body-long-02-line-height:1.5;\n --cds-body-long-02-letter-spacing:0;\n --cds-code-01-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-01-font-size:0.75rem;\n --cds-code-01-font-weight:400;\n --cds-code-01-line-height:1.33333;\n --cds-code-01-letter-spacing:0.32px;\n --cds-code-02-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-02-font-size:0.875rem;\n --cds-code-02-font-weight:400;\n --cds-code-02-line-height:1.42857;\n --cds-code-02-letter-spacing:0.32px;\n --cds-heading-01-font-size:0.875rem;\n --cds-heading-01-font-weight:600;\n --cds-heading-01-line-height:1.42857;\n --cds-heading-01-letter-spacing:0.16px;\n --cds-heading-02-font-size:1rem;\n --cds-heading-02-font-weight:600;\n --cds-heading-02-line-height:1.5;\n --cds-heading-02-letter-spacing:0;\n --cds-productive-heading-01-font-size:0.875rem;\n --cds-productive-heading-01-font-weight:600;\n --cds-productive-heading-01-line-height:1.28572;\n --cds-productive-heading-01-letter-spacing:0.16px;\n --cds-productive-heading-02-font-size:1rem;\n --cds-productive-heading-02-font-weight:600;\n --cds-productive-heading-02-line-height:1.375;\n --cds-productive-heading-02-letter-spacing:0;\n --cds-productive-heading-03-font-size:1.25rem;\n --cds-productive-heading-03-font-weight:400;\n --cds-productive-heading-03-line-height:1.4;\n --cds-productive-heading-03-letter-spacing:0;\n --cds-productive-heading-04-font-size:1.75rem;\n --cds-productive-heading-04-font-weight:400;\n --cds-productive-heading-04-line-height:1.28572;\n --cds-productive-heading-04-letter-spacing:0;\n --cds-productive-heading-05-font-size:2rem;\n --cds-productive-heading-05-font-weight:400;\n --cds-productive-heading-05-line-height:1.25;\n --cds-productive-heading-05-letter-spacing:0;\n --cds-productive-heading-06-font-size:2.625rem;\n --cds-productive-heading-06-font-weight:300;\n --cds-productive-heading-06-line-height:1.199;\n --cds-productive-heading-06-letter-spacing:0;\n --cds-productive-heading-07-font-size:3.375rem;\n --cds-productive-heading-07-font-weight:300;\n --cds-productive-heading-07-line-height:1.19;\n --cds-productive-heading-07-letter-spacing:0;\n --cds-expressive-paragraph-01-font-size:1.5rem;\n --cds-expressive-paragraph-01-font-weight:300;\n --cds-expressive-paragraph-01-line-height:1.334;\n --cds-expressive-paragraph-01-letter-spacing:0;\n --cds-expressive-heading-01-font-size:0.875rem;\n --cds-expressive-heading-01-font-weight:600;\n --cds-expressive-heading-01-line-height:1.42857;\n --cds-expressive-heading-01-letter-spacing:0.16px;\n --cds-expressive-heading-02-font-size:1rem;\n --cds-expressive-heading-02-font-weight:600;\n --cds-expressive-heading-02-line-height:1.5;\n --cds-expressive-heading-02-letter-spacing:0;\n --cds-expressive-heading-03-font-size:1.25rem;\n --cds-expressive-heading-03-font-weight:400;\n --cds-expressive-heading-03-line-height:1.4;\n --cds-expressive-heading-03-letter-spacing:0;\n --cds-expressive-heading-04-font-size:1.75rem;\n --cds-expressive-heading-04-font-weight:400;\n --cds-expressive-heading-04-line-height:1.28572;\n --cds-expressive-heading-04-letter-spacing:0;\n --cds-expressive-heading-05-font-size:2rem;\n --cds-expressive-heading-05-font-weight:400;\n --cds-expressive-heading-05-line-height:1.25;\n --cds-expressive-heading-05-letter-spacing:0;\n --cds-expressive-heading-06-font-size:2rem;\n --cds-expressive-heading-06-font-weight:600;\n --cds-expressive-heading-06-line-height:1.25;\n --cds-expressive-heading-06-letter-spacing:0;\n --cds-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-01-font-size:1.25rem;\n --cds-quotation-01-font-weight:400;\n --cds-quotation-01-line-height:1.3;\n --cds-quotation-01-letter-spacing:0;\n --cds-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-02-font-size:2rem;\n --cds-quotation-02-font-weight:300;\n --cds-quotation-02-line-height:1.25;\n --cds-quotation-02-letter-spacing:0;\n --cds-display-01-font-size:2.625rem;\n --cds-display-01-font-weight:300;\n --cds-display-01-line-height:1.19;\n --cds-display-01-letter-spacing:0;\n --cds-display-02-font-size:2.625rem;\n --cds-display-02-font-weight:600;\n --cds-display-02-line-height:1.19;\n --cds-display-02-letter-spacing:0;\n --cds-display-03-font-size:2.625rem;\n --cds-display-03-font-weight:300;\n --cds-display-03-line-height:1.19;\n --cds-display-03-letter-spacing:0;\n --cds-display-04-font-size:2.625rem;\n --cds-display-04-font-weight:300;\n --cds-display-04-line-height:1.19;\n --cds-display-04-letter-spacing:0;\n --cds-legal-01-font-size:0.75rem;\n --cds-legal-01-font-weight:400;\n --cds-legal-01-line-height:1.33333;\n --cds-legal-01-letter-spacing:0.32px;\n --cds-legal-02-font-size:0.875rem;\n --cds-legal-02-font-weight:400;\n --cds-legal-02-line-height:1.28572;\n --cds-legal-02-letter-spacing:0.16px;\n --cds-body-compact-01-font-size:0.875rem;\n --cds-body-compact-01-font-weight:400;\n --cds-body-compact-01-line-height:1.28572;\n --cds-body-compact-01-letter-spacing:0.16px;\n --cds-body-compact-02-font-size:1rem;\n --cds-body-compact-02-font-weight:400;\n --cds-body-compact-02-line-height:1.375;\n --cds-body-compact-02-letter-spacing:0;\n --cds-heading-compact-01-font-size:0.875rem;\n --cds-heading-compact-01-font-weight:600;\n --cds-heading-compact-01-line-height:1.28572;\n --cds-heading-compact-01-letter-spacing:0.16px;\n --cds-heading-compact-02-font-size:1rem;\n --cds-heading-compact-02-font-weight:600;\n --cds-heading-compact-02-line-height:1.375;\n --cds-heading-compact-02-letter-spacing:0;\n --cds-body-01-font-size:0.875rem;\n --cds-body-01-font-weight:400;\n --cds-body-01-line-height:1.42857;\n --cds-body-01-letter-spacing:0.16px;\n --cds-body-02-font-size:1rem;\n --cds-body-02-font-weight:400;\n --cds-body-02-line-height:1.5;\n --cds-body-02-letter-spacing:0;\n --cds-heading-03-font-size:1.25rem;\n --cds-heading-03-font-weight:400;\n --cds-heading-03-line-height:1.4;\n --cds-heading-03-letter-spacing:0;\n --cds-heading-04-font-size:1.75rem;\n --cds-heading-04-font-weight:400;\n --cds-heading-04-line-height:1.28572;\n --cds-heading-04-letter-spacing:0;\n --cds-heading-05-font-size:2rem;\n --cds-heading-05-font-weight:400;\n --cds-heading-05-line-height:1.25;\n --cds-heading-05-letter-spacing:0;\n --cds-heading-06-font-size:2.625rem;\n --cds-heading-06-font-weight:300;\n --cds-heading-06-line-height:1.199;\n --cds-heading-06-letter-spacing:0;\n --cds-heading-07-font-size:3.375rem;\n --cds-heading-07-font-weight:300;\n --cds-heading-07-line-height:1.19;\n --cds-heading-07-letter-spacing:0;\n --cds-fluid-heading-03-font-size:1.25rem;\n --cds-fluid-heading-03-font-weight:400;\n --cds-fluid-heading-03-line-height:1.4;\n --cds-fluid-heading-03-letter-spacing:0;\n --cds-fluid-heading-04-font-size:1.75rem;\n --cds-fluid-heading-04-font-weight:400;\n --cds-fluid-heading-04-line-height:1.28572;\n --cds-fluid-heading-04-letter-spacing:0;\n --cds-fluid-heading-05-font-size:2rem;\n --cds-fluid-heading-05-font-weight:400;\n --cds-fluid-heading-05-line-height:1.25;\n --cds-fluid-heading-05-letter-spacing:0;\n --cds-fluid-heading-06-font-size:2rem;\n --cds-fluid-heading-06-font-weight:600;\n --cds-fluid-heading-06-line-height:1.25;\n --cds-fluid-heading-06-letter-spacing:0;\n --cds-fluid-paragraph-01-font-size:1.5rem;\n --cds-fluid-paragraph-01-font-weight:300;\n --cds-fluid-paragraph-01-line-height:1.334;\n --cds-fluid-paragraph-01-letter-spacing:0;\n --cds-fluid-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-fluid-quotation-01-font-size:1.25rem;\n --cds-fluid-quotation-01-font-weight:400;\n --cds-fluid-quotation-01-line-height:1.3;\n --cds-fluid-quotation-01-letter-spacing:0;\n --cds-fluid-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-fluid-quotation-02-font-size:2rem;\n --cds-fluid-quotation-02-font-weight:300;\n --cds-fluid-quotation-02-line-height:1.25;\n --cds-fluid-quotation-02-letter-spacing:0;\n --cds-fluid-display-01-font-size:2.625rem;\n --cds-fluid-display-01-font-weight:300;\n --cds-fluid-display-01-line-height:1.19;\n --cds-fluid-display-01-letter-spacing:0;\n --cds-fluid-display-02-font-size:2.625rem;\n --cds-fluid-display-02-font-weight:600;\n --cds-fluid-display-02-line-height:1.19;\n --cds-fluid-display-02-letter-spacing:0;\n --cds-fluid-display-03-font-size:2.625rem;\n --cds-fluid-display-03-font-weight:300;\n --cds-fluid-display-03-line-height:1.19;\n --cds-fluid-display-03-letter-spacing:0;\n --cds-fluid-display-04-font-size:2.625rem;\n --cds-fluid-display-04-font-weight:300;\n --cds-fluid-display-04-line-height:1.19;\n --cds-fluid-display-04-letter-spacing:0;\n --cds-button-separator:#e0e0e0;\n --cds-button-primary:#0f62fe;\n --cds-button-secondary:#393939;\n --cds-button-tertiary:#0f62fe;\n --cds-button-danger-primary:#da1e28;\n --cds-button-danger-secondary:#da1e28;\n --cds-button-danger-active:#750e13;\n --cds-button-primary-active:#002d9c;\n --cds-button-secondary-active:#6f6f6f;\n --cds-button-tertiary-active:#002d9c;\n --cds-button-danger-hover:#b81921;\n --cds-button-primary-hover:#0050e6;\n --cds-button-secondary-hover:#474747;\n --cds-button-tertiary-hover:#0050e6;\n --cds-button-disabled:#c6c6c6;\n}\n@media screen and (-ms-high-contrast: active), (forced-colors: active){\n :host .cds--white{\n --cds-icon-primary:ButtonText;\n --cds-icon-secondary:ButtonText;\n --cds-icon-interactive:ButtonText;\n --cds-icon-disabled:GrayText;\n --cds-icon-on-color-disabled:GrayText;\n --cds-icon-inverse:SelectedItemText;\n --cds-icon-on-color:SelectedItemText;\n --cds-button-disabled:GrayText;\n --cds-interactive:ButtonText;\n --cds-link-primary:LinkText;\n --cds-link-primary-hover:LinkText;\n --cds-link-secondary:LinkText;\n --cds-link-inverse:SelectedItemText;\n --cds-link-inverse-hover:SelectedItemText;\n --cds-link-inverse-visited:SelectedItemText;\n --cds-link-visited:VisitedText;\n --cds-background-selected:SelectedItem;\n --cds-background-selected-hover:SelectedItem;\n --cds-background-inverse:SelectedItem;\n --cds-layer-selected-inverse:SelectedItem;\n }\n}\n:host .cds--white{\n --cds-layer:var(--cds-layer-01, #f4f4f4);\n --cds-layer-active:var(--cds-layer-active-01, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-01, #ffffff);\n --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8);\n --cds-field:var(--cds-field-01, #f4f4f4);\n --cds-field-hover:var(--cds-field-hover-01, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-01, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-01, #c6c6c6);\n}\n:host .cds--g10{\n --cds-ai-aura-end:rgba(255, 255, 255, 0);\n --cds-ai-aura-hover-background:#edf5ff;\n --cds-ai-aura-hover-end:rgba(255, 255, 255, 0);\n --cds-ai-aura-hover-start:rgba(69, 137, 255, 0.32);\n --cds-ai-aura-start:rgba(69, 137, 255, 0.1);\n --cds-ai-aura-start-sm:rgba(69, 137, 255, 0.16);\n --cds-ai-border-end:#78a9ff;\n --cds-ai-border-start:rgba(166, 200, 255, 0.64);\n --cds-ai-border-strong:#4589ff;\n --cds-ai-drop-shadow:rgba(15, 98, 254, 0.1);\n --cds-ai-inner-shadow:rgba(69, 137, 255, 0.1);\n --cds-ai-overlay:rgba(0, 17, 65, 0.5);\n --cds-ai-popover-background:#ffffff;\n --cds-ai-popover-caret-bottom:#78a9ff;\n --cds-ai-popover-caret-bottom-background:#eaf1ff;\n --cds-ai-popover-caret-bottom-background-actions:#e9effa;\n --cds-ai-popover-caret-center:#a0c3ff;\n --cds-ai-popover-shadow-outer-01:rgba(0, 67, 206, 0.06);\n --cds-ai-popover-shadow-outer-02:rgba(0, 0, 0, 0.04);\n --cds-ai-skeleton-background:#d0e2ff;\n --cds-ai-skeleton-element-background:#4589ff;\n --cds-background:#f4f4f4;\n --cds-background-active:rgba(141, 141, 141, 0.5);\n --cds-background-brand:#0f62fe;\n --cds-background-hover:rgba(141, 141, 141, 0.12);\n --cds-background-inverse:#393939;\n --cds-background-inverse-hover:#474747;\n --cds-background-selected:rgba(141, 141, 141, 0.2);\n --cds-background-selected-hover:rgba(141, 141, 141, 0.32);\n --cds-border-disabled:#c6c6c6;\n --cds-border-interactive:#0f62fe;\n --cds-border-inverse:#161616;\n --cds-border-strong-01:#8d8d8d;\n --cds-border-strong-02:#8d8d8d;\n --cds-border-strong-03:#8d8d8d;\n --cds-border-subtle-00:#c6c6c6;\n --cds-border-subtle-01:#e0e0e0;\n --cds-border-subtle-02:#c6c6c6;\n --cds-border-subtle-03:#e0e0e0;\n --cds-border-subtle-selected-01:#c6c6c6;\n --cds-border-subtle-selected-02:#c6c6c6;\n --cds-border-subtle-selected-03:#c6c6c6;\n --cds-border-tile-01:#a8a8a8;\n --cds-border-tile-02:#c6c6c6;\n --cds-border-tile-03:#a8a8a8;\n --cds-chat-avatar-agent:#393939;\n --cds-chat-avatar-bot:#6f6f6f;\n --cds-chat-avatar-user:#0f62fe;\n --cds-chat-bubble-agent:#ffffff;\n --cds-chat-bubble-agent-text:#161616;\n --cds-chat-bubble-border:#e0e0e0;\n --cds-chat-bubble-user:#e0e0e0;\n --cds-chat-bubble-user-text:#161616;\n --cds-chat-button:#0f62fe;\n --cds-chat-button-active:rgba(141, 141, 141, 0.5);\n --cds-chat-button-hover:rgba(141, 141, 141, 0.12);\n --cds-chat-button-selected:rgba(141, 141, 141, 0.2);\n --cds-chat-button-text-hover:#0043ce;\n --cds-chat-button-text-selected:#525252;\n --cds-chat-header-background:#ffffff;\n --cds-chat-header-text:#161616;\n --cds-chat-prompt-background:#ffffff;\n --cds-chat-prompt-border-end:rgba(244, 244, 244, 0);\n --cds-chat-prompt-border-start:#f4f4f4;\n --cds-chat-prompt-text:#161616;\n --cds-chat-shell-background:#ffffff;\n --cds-field-01:#ffffff;\n --cds-field-02:#f4f4f4;\n --cds-field-03:#ffffff;\n --cds-field-hover-01:#e8e8e8;\n --cds-field-hover-02:#e8e8e8;\n --cds-field-hover-03:#e8e8e8;\n --cds-focus:#0f62fe;\n --cds-focus-inset:#ffffff;\n --cds-focus-inverse:#ffffff;\n --cds-highlight:#d0e2ff;\n --cds-icon-disabled:rgba(22, 22, 22, 0.25);\n --cds-icon-interactive:#0f62fe;\n --cds-icon-inverse:#ffffff;\n --cds-icon-on-color:#ffffff;\n --cds-icon-on-color-disabled:#8d8d8d;\n --cds-icon-primary:#161616;\n --cds-icon-secondary:#525252;\n --cds-interactive:#0f62fe;\n --cds-layer-01:#ffffff;\n --cds-layer-02:#f4f4f4;\n --cds-layer-03:#ffffff;\n --cds-layer-accent-01:#e0e0e0;\n --cds-layer-accent-02:#e0e0e0;\n --cds-layer-accent-03:#e0e0e0;\n --cds-layer-accent-active-01:#a8a8a8;\n --cds-layer-accent-active-02:#a8a8a8;\n --cds-layer-accent-active-03:#a8a8a8;\n --cds-layer-accent-hover-01:#d1d1d1;\n --cds-layer-accent-hover-02:#d1d1d1;\n --cds-layer-accent-hover-03:#d1d1d1;\n --cds-layer-active-01:#c6c6c6;\n --cds-layer-active-02:#c6c6c6;\n --cds-layer-active-03:#c6c6c6;\n --cds-layer-background-01:#f4f4f4;\n --cds-layer-background-02:#ffffff;\n --cds-layer-background-03:#f4f4f4;\n --cds-layer-hover-01:#e8e8e8;\n --cds-layer-hover-02:#e8e8e8;\n --cds-layer-hover-03:#e8e8e8;\n --cds-layer-selected-01:#e0e0e0;\n --cds-layer-selected-02:#e0e0e0;\n --cds-layer-selected-03:#e0e0e0;\n --cds-layer-selected-disabled:#8d8d8d;\n --cds-layer-selected-hover-01:#d1d1d1;\n --cds-layer-selected-hover-02:#d1d1d1;\n --cds-layer-selected-hover-03:#d1d1d1;\n --cds-layer-selected-inverse:#161616;\n --cds-link-inverse:#78a9ff;\n --cds-link-inverse-active:#f4f4f4;\n --cds-link-inverse-hover:#a6c8ff;\n --cds-link-inverse-visited:#be95ff;\n --cds-link-primary:#0f62fe;\n --cds-link-primary-hover:#0043ce;\n --cds-link-secondary:#0043ce;\n --cds-link-visited:#8a3ffc;\n --cds-overlay:rgba(0, 0, 0, 0.6);\n --cds-shadow:rgba(0, 0, 0, 0.3);\n --cds-skeleton-background:#e8e8e8;\n --cds-skeleton-element:#c6c6c6;\n --cds-support-caution-major:#ff832b;\n --cds-support-caution-minor:#f1c21b;\n --cds-support-caution-undefined:#8a3ffc;\n --cds-support-error:#da1e28;\n --cds-support-error-inverse:#fa4d56;\n --cds-support-info:#0043ce;\n --cds-support-info-inverse:#4589ff;\n --cds-support-success:#24a148;\n --cds-support-success-inverse:#42be65;\n --cds-support-warning:#f1c21b;\n --cds-support-warning-inverse:#f1c21b;\n --cds-syntax-angle-bracket:#697077;\n --cds-syntax-annotation:#007d79;\n --cds-syntax-arithmetic-operator:#343a3f;\n --cds-syntax-atom:#161616;\n --cds-syntax-attribute:#00539a;\n --cds-syntax-attribute-name:#00539a;\n --cds-syntax-attribute-value:#161616;\n --cds-syntax-bitwise-operator:#343a3f;\n --cds-syntax-block-comment:#198038;\n --cds-syntax-bool:#161616;\n --cds-syntax-brace:#343a3f;\n --cds-syntax-bracket:#343a3f;\n --cds-syntax-character:#161616;\n --cds-syntax-class-name:#007d79;\n --cds-syntax-color:#161616;\n --cds-syntax-comment:#198038;\n --cds-syntax-compare-operator:#343a3f;\n --cds-syntax-constant:#0f62fe;\n --cds-syntax-content:#161616;\n --cds-syntax-content-separator:#343a3f;\n --cds-syntax-control-keyword:#6929c4;\n --cds-syntax-control-operator:#6929c4;\n --cds-syntax-definition:#00539a;\n --cds-syntax-definition-keyword:#00539a;\n --cds-syntax-definition-operator:#00539a;\n --cds-syntax-deref-operator:#343a3f;\n --cds-syntax-doc-comment:#198038;\n --cds-syntax-doc-string:#161616;\n --cds-syntax-document-meta:#198038;\n --cds-syntax-emphasis:#161616;\n --cds-syntax-escape:#343a3f;\n --cds-syntax-float:#198038;\n --cds-syntax-function:#8e6a00;\n --cds-syntax-heading:#00539a;\n --cds-syntax-heading-1:#00539a;\n --cds-syntax-heading-2:#00539a;\n --cds-syntax-heading-3:#00539a;\n --cds-syntax-heading-4:#00539a;\n --cds-syntax-heading-5:#00539a;\n --cds-syntax-heading-6:#00539a;\n --cds-syntax-integer:#198038;\n --cds-syntax-invalid:#da1e28;\n --cds-syntax-keyword:#0f62fe;\n --cds-syntax-label-name:#0f62fe;\n --cds-syntax-line-comment:#198038;\n --cds-syntax-link:#0f62fe;\n --cds-syntax-list:#161616;\n --cds-syntax-literal:#161616;\n --cds-syntax-local:#0f62fe;\n --cds-syntax-logic-operator:#343a3f;\n --cds-syntax-macro-name:#161616;\n --cds-syntax-meta:#198038;\n --cds-syntax-modifier:#0f62fe;\n --cds-syntax-module-keyword:#6929c4;\n --cds-syntax-monospace:#161616;\n --cds-syntax-name:#0f62fe;\n --cds-syntax-namespace:#007d79;\n --cds-syntax-null:#161616;\n --cds-syntax-number:#198038;\n --cds-syntax-operator:#343a3f;\n --cds-syntax-operator-keyword:#0f62fe;\n --cds-syntax-paren:#343a3f;\n --cds-syntax-processing-instruction:#161616;\n --cds-syntax-property-name:#00539a;\n --cds-syntax-punctuation:#343a3f;\n --cds-syntax-quote:#198038;\n --cds-syntax-regexp:#6929c4;\n --cds-syntax-self:#007d79;\n --cds-syntax-separator:#343a3f;\n --cds-syntax-special:#0f62fe;\n --cds-syntax-special-string:#8a3ffc;\n --cds-syntax-square-bracket:#343a3f;\n --cds-syntax-standard:#0f62fe;\n --cds-syntax-strikethrough:#161616;\n --cds-syntax-string:#161616;\n --cds-syntax-strong:#161616;\n --cds-syntax-tag:#007d79;\n --cds-syntax-tag-name:#007d79;\n --cds-syntax-type:#007d79;\n --cds-syntax-type-name:#007d79;\n --cds-syntax-type-operator:#007d79;\n --cds-syntax-unit:#198038;\n --cds-syntax-update-operator:#343a3f;\n --cds-syntax-url:#343a3f;\n --cds-syntax-variable:#0f62fe;\n --cds-syntax-variable-name:#0f62fe;\n --cds-text-disabled:rgba(22, 22, 22, 0.25);\n --cds-text-error:#da1e28;\n --cds-text-helper:#6f6f6f;\n --cds-text-inverse:#ffffff;\n --cds-text-on-color:#ffffff;\n --cds-text-on-color-disabled:#8d8d8d;\n --cds-text-placeholder:rgba(22, 22, 22, 0.4);\n --cds-text-primary:#161616;\n --cds-text-secondary:#525252;\n --cds-toggle-off:#8d8d8d;\n --cds-spacing-01:0.125rem;\n --cds-spacing-02:0.25rem;\n --cds-spacing-03:0.5rem;\n --cds-spacing-04:0.75rem;\n --cds-spacing-05:1rem;\n --cds-spacing-06:1.5rem;\n --cds-spacing-07:2rem;\n --cds-spacing-08:2.5rem;\n --cds-spacing-09:3rem;\n --cds-spacing-10:4rem;\n --cds-spacing-11:5rem;\n --cds-spacing-12:6rem;\n --cds-spacing-13:10rem;\n --cds-fluid-spacing-01:0;\n --cds-fluid-spacing-02:2vw;\n --cds-fluid-spacing-03:5vw;\n --cds-fluid-spacing-04:10vw;\n --cds-caption-01-font-size:0.75rem;\n --cds-caption-01-font-weight:400;\n --cds-caption-01-line-height:1.33333;\n --cds-caption-01-letter-spacing:0.32px;\n --cds-caption-02-font-size:0.875rem;\n --cds-caption-02-font-weight:400;\n --cds-caption-02-line-height:1.28572;\n --cds-caption-02-letter-spacing:0.32px;\n --cds-label-01-font-size:0.75rem;\n --cds-label-01-font-weight:400;\n --cds-label-01-line-height:1.33333;\n --cds-label-01-letter-spacing:0.32px;\n --cds-label-02-font-size:0.875rem;\n --cds-label-02-font-weight:400;\n --cds-label-02-line-height:1.28572;\n --cds-label-02-letter-spacing:0.16px;\n --cds-helper-text-01-font-size:0.75rem;\n --cds-helper-text-01-line-height:1.33333;\n --cds-helper-text-01-letter-spacing:0.32px;\n --cds-helper-text-02-font-size:0.875rem;\n --cds-helper-text-02-font-weight:400;\n --cds-helper-text-02-line-height:1.28572;\n --cds-helper-text-02-letter-spacing:0.16px;\n --cds-body-short-01-font-size:0.875rem;\n --cds-body-short-01-font-weight:400;\n --cds-body-short-01-line-height:1.28572;\n --cds-body-short-01-letter-spacing:0.16px;\n --cds-body-short-02-font-size:1rem;\n --cds-body-short-02-font-weight:400;\n --cds-body-short-02-line-height:1.375;\n --cds-body-short-02-letter-spacing:0;\n --cds-body-long-01-font-size:0.875rem;\n --cds-body-long-01-font-weight:400;\n --cds-body-long-01-line-height:1.42857;\n --cds-body-long-01-letter-spacing:0.16px;\n --cds-body-long-02-font-size:1rem;\n --cds-body-long-02-font-weight:400;\n --cds-body-long-02-line-height:1.5;\n --cds-body-long-02-letter-spacing:0;\n --cds-code-01-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-01-font-size:0.75rem;\n --cds-code-01-font-weight:400;\n --cds-code-01-line-height:1.33333;\n --cds-code-01-letter-spacing:0.32px;\n --cds-code-02-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-02-font-size:0.875rem;\n --cds-code-02-font-weight:400;\n --cds-code-02-line-height:1.42857;\n --cds-code-02-letter-spacing:0.32px;\n --cds-heading-01-font-size:0.875rem;\n --cds-heading-01-font-weight:600;\n --cds-heading-01-line-height:1.42857;\n --cds-heading-01-letter-spacing:0.16px;\n --cds-heading-02-font-size:1rem;\n --cds-heading-02-font-weight:600;\n --cds-heading-02-line-height:1.5;\n --cds-heading-02-letter-spacing:0;\n --cds-productive-heading-01-font-size:0.875rem;\n --cds-productive-heading-01-font-weight:600;\n --cds-productive-heading-01-line-height:1.28572;\n --cds-productive-heading-01-letter-spacing:0.16px;\n --cds-productive-heading-02-font-size:1rem;\n --cds-productive-heading-02-font-weight:600;\n --cds-productive-heading-02-line-height:1.375;\n --cds-productive-heading-02-letter-spacing:0;\n --cds-productive-heading-03-font-size:1.25rem;\n --cds-productive-heading-03-font-weight:400;\n --cds-productive-heading-03-line-height:1.4;\n --cds-productive-heading-03-letter-spacing:0;\n --cds-productive-heading-04-font-size:1.75rem;\n --cds-productive-heading-04-font-weight:400;\n --cds-productive-heading-04-line-height:1.28572;\n --cds-productive-heading-04-letter-spacing:0;\n --cds-productive-heading-05-font-size:2rem;\n --cds-productive-heading-05-font-weight:400;\n --cds-productive-heading-05-line-height:1.25;\n --cds-productive-heading-05-letter-spacing:0;\n --cds-productive-heading-06-font-size:2.625rem;\n --cds-productive-heading-06-font-weight:300;\n --cds-productive-heading-06-line-height:1.199;\n --cds-productive-heading-06-letter-spacing:0;\n --cds-productive-heading-07-font-size:3.375rem;\n --cds-productive-heading-07-font-weight:300;\n --cds-productive-heading-07-line-height:1.19;\n --cds-productive-heading-07-letter-spacing:0;\n --cds-expressive-paragraph-01-font-size:1.5rem;\n --cds-expressive-paragraph-01-font-weight:300;\n --cds-expressive-paragraph-01-line-height:1.334;\n --cds-expressive-paragraph-01-letter-spacing:0;\n --cds-expressive-heading-01-font-size:0.875rem;\n --cds-expressive-heading-01-font-weight:600;\n --cds-expressive-heading-01-line-height:1.42857;\n --cds-expressive-heading-01-letter-spacing:0.16px;\n --cds-expressive-heading-02-font-size:1rem;\n --cds-expressive-heading-02-font-weight:600;\n --cds-expressive-heading-02-line-height:1.5;\n --cds-expressive-heading-02-letter-spacing:0;\n --cds-expressive-heading-03-font-size:1.25rem;\n --cds-expressive-heading-03-font-weight:400;\n --cds-expressive-heading-03-line-height:1.4;\n --cds-expressive-heading-03-letter-spacing:0;\n --cds-expressive-heading-04-font-size:1.75rem;\n --cds-expressive-heading-04-font-weight:400;\n --cds-expressive-heading-04-line-height:1.28572;\n --cds-expressive-heading-04-letter-spacing:0;\n --cds-expressive-heading-05-font-size:2rem;\n --cds-expressive-heading-05-font-weight:400;\n --cds-expressive-heading-05-line-height:1.25;\n --cds-expressive-heading-05-letter-spacing:0;\n --cds-expressive-heading-06-font-size:2rem;\n --cds-expressive-heading-06-font-weight:600;\n --cds-expressive-heading-06-line-height:1.25;\n --cds-expressive-heading-06-letter-spacing:0;\n --cds-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-01-font-size:1.25rem;\n --cds-quotation-01-font-weight:400;\n --cds-quotation-01-line-height:1.3;\n --cds-quotation-01-letter-spacing:0;\n --cds-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-02-font-size:2rem;\n --cds-quotation-02-font-weight:300;\n --cds-quotation-02-line-height:1.25;\n --cds-quotation-02-letter-spacing:0;\n --cds-display-01-font-size:2.625rem;\n --cds-display-01-font-weight:300;\n --cds-display-01-line-height:1.19;\n --cds-display-01-letter-spacing:0;\n --cds-display-02-font-size:2.625rem;\n --cds-display-02-font-weight:600;\n --cds-display-02-line-height:1.19;\n --cds-display-02-letter-spacing:0;\n --cds-display-03-font-size:2.625rem;\n --cds-display-03-font-weight:300;\n --cds-display-03-line-height:1.19;\n --cds-display-03-letter-spacing:0;\n --cds-display-04-font-size:2.625rem;\n --cds-display-04-font-weight:300;\n --cds-display-04-line-height:1.19;\n --cds-display-04-letter-spacing:0;\n --cds-legal-01-font-size:0.75rem;\n --cds-legal-01-font-weight:400;\n --cds-legal-01-line-height:1.33333;\n --cds-legal-01-letter-spacing:0.32px;\n --cds-legal-02-font-size:0.875rem;\n --cds-legal-02-font-weight:400;\n --cds-legal-02-line-height:1.28572;\n --cds-legal-02-letter-spacing:0.16px;\n --cds-body-compact-01-font-size:0.875rem;\n --cds-body-compact-01-font-weight:400;\n --cds-body-compact-01-line-height:1.28572;\n --cds-body-compact-01-letter-spacing:0.16px;\n --cds-body-compact-02-font-size:1rem;\n --cds-body-compact-02-font-weight:400;\n --cds-body-compact-02-line-height:1.375;\n --cds-body-compact-02-letter-spacing:0;\n --cds-heading-compact-01-font-size:0.875rem;\n --cds-heading-compact-01-font-weight:600;\n --cds-heading-compact-01-line-height:1.28572;\n --cds-heading-compact-01-letter-spacing:0.16px;\n --cds-heading-compact-02-font-size:1rem;\n --cds-heading-compact-02-font-weight:600;\n --cds-heading-compact-02-line-height:1.375;\n --cds-heading-compact-02-letter-spacing:0;\n --cds-body-01-font-size:0.875rem;\n --cds-body-01-font-weight:400;\n --cds-body-01-line-height:1.42857;\n --cds-body-01-letter-spacing:0.16px;\n --cds-body-02-font-size:1rem;\n --cds-body-02-font-weight:400;\n --cds-body-02-line-height:1.5;\n --cds-body-02-letter-spacing:0;\n --cds-heading-03-font-size:1.25rem;\n --cds-heading-03-font-weight:400;\n --cds-heading-03-line-height:1.4;\n --cds-heading-03-letter-spacing:0;\n --cds-heading-04-font-size:1.75rem;\n --cds-heading-04-font-weight:400;\n --cds-heading-04-line-height:1.28572;\n --cds-heading-04-letter-spacing:0;\n --cds-heading-05-font-size:2rem;\n --cds-heading-05-font-weight:400;\n --cds-heading-05-line-height:1.25;\n --cds-heading-05-letter-spacing:0;\n --cds-heading-06-font-size:2.625rem;\n --cds-heading-06-font-weight:300;\n --cds-heading-06-line-height:1.199;\n --cds-heading-06-letter-spacing:0;\n --cds-heading-07-font-size:3.375rem;\n --cds-heading-07-font-weight:300;\n --cds-heading-07-line-height:1.19;\n --cds-heading-07-letter-spacing:0;\n --cds-fluid-heading-03-font-size:1.25rem;\n --cds-fluid-heading-03-font-weight:400;\n --cds-fluid-heading-03-line-height:1.4;\n --cds-fluid-heading-03-letter-spacing:0;\n --cds-fluid-heading-04-font-size:1.75rem;\n --cds-fluid-heading-04-font-weight:400;\n --cds-fluid-heading-04-line-height:1.28572;\n --cds-fluid-heading-04-letter-spacing:0;\n --cds-fluid-heading-05-font-size:2rem;\n --cds-fluid-heading-05-font-weight:400;\n --cds-fluid-heading-05-line-height:1.25;\n --cds-fluid-heading-05-letter-spacing:0;\n --cds-fluid-heading-06-font-size:2rem;\n --cds-fluid-heading-06-font-weight:600;\n --cds-fluid-heading-06-line-height:1.25;\n --cds-fluid-heading-06-letter-spacing:0;\n --cds-fluid-paragraph-01-font-size:1.5rem;\n --cds-fluid-paragraph-01-font-weight:300;\n --cds-fluid-paragraph-01-line-height:1.334;\n --cds-fluid-paragraph-01-letter-spacing:0;\n --cds-fluid-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-fluid-quotation-01-font-size:1.25rem;\n --cds-fluid-quotation-01-font-weight:400;\n --cds-fluid-quotation-01-line-height:1.3;\n --cds-fluid-quotation-01-letter-spacing:0;\n --cds-fluid-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-fluid-quotation-02-font-size:2rem;\n --cds-fluid-quotation-02-font-weight:300;\n --cds-fluid-quotation-02-line-height:1.25;\n --cds-fluid-quotation-02-letter-spacing:0;\n --cds-fluid-display-01-font-size:2.625rem;\n --cds-fluid-display-01-font-weight:300;\n --cds-fluid-display-01-line-height:1.19;\n --cds-fluid-display-01-letter-spacing:0;\n --cds-fluid-display-02-font-size:2.625rem;\n --cds-fluid-display-02-font-weight:600;\n --cds-fluid-display-02-line-height:1.19;\n --cds-fluid-display-02-letter-spacing:0;\n --cds-fluid-display-03-font-size:2.625rem;\n --cds-fluid-display-03-font-weight:300;\n --cds-fluid-display-03-line-height:1.19;\n --cds-fluid-display-03-letter-spacing:0;\n --cds-fluid-display-04-font-size:2.625rem;\n --cds-fluid-display-04-font-weight:300;\n --cds-fluid-display-04-line-height:1.19;\n --cds-fluid-display-04-letter-spacing:0;\n --cds-button-separator:#e0e0e0;\n --cds-button-primary:#0f62fe;\n --cds-button-secondary:#393939;\n --cds-button-tertiary:#0f62fe;\n --cds-button-danger-primary:#da1e28;\n --cds-button-danger-secondary:#da1e28;\n --cds-button-danger-active:#750e13;\n --cds-button-primary-active:#002d9c;\n --cds-button-secondary-active:#6f6f6f;\n --cds-button-tertiary-active:#002d9c;\n --cds-button-danger-hover:#b81921;\n --cds-button-primary-hover:#0050e6;\n --cds-button-secondary-hover:#474747;\n --cds-button-tertiary-hover:#0050e6;\n --cds-button-disabled:#c6c6c6;\n}\n@media screen and (-ms-high-contrast: active), (forced-colors: active){\n :host .cds--g10{\n --cds-icon-primary:ButtonText;\n --cds-icon-secondary:ButtonText;\n --cds-icon-interactive:ButtonText;\n --cds-icon-disabled:GrayText;\n --cds-icon-on-color-disabled:GrayText;\n --cds-icon-inverse:SelectedItemText;\n --cds-icon-on-color:SelectedItemText;\n --cds-button-disabled:GrayText;\n --cds-interactive:ButtonText;\n --cds-link-primary:LinkText;\n --cds-link-primary-hover:LinkText;\n --cds-link-secondary:LinkText;\n --cds-link-inverse:SelectedItemText;\n --cds-link-inverse-hover:SelectedItemText;\n --cds-link-inverse-visited:SelectedItemText;\n --cds-link-visited:VisitedText;\n --cds-background-selected:SelectedItem;\n --cds-background-selected-hover:SelectedItem;\n --cds-background-inverse:SelectedItem;\n --cds-layer-selected-inverse:SelectedItem;\n }\n}\n:host .cds--g10{\n --cds-layer:var(--cds-layer-01, #f4f4f4);\n --cds-layer-active:var(--cds-layer-active-01, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-01, #ffffff);\n --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8);\n --cds-field:var(--cds-field-01, #f4f4f4);\n --cds-field-hover:var(--cds-field-hover-01, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-01, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-01, #c6c6c6);\n}\n:host .cds--g90{\n --cds-ai-aura-end:rgba(0, 0, 0, 0);\n --cds-ai-aura-hover-background:#474747;\n --cds-ai-aura-hover-end:rgba(0, 0, 0, 0);\n --cds-ai-aura-hover-start:rgba(69, 137, 255, 0.4);\n --cds-ai-aura-start:rgba(69, 137, 255, 0.1);\n --cds-ai-aura-start-sm:rgba(69, 137, 255, 0.16);\n --cds-ai-border-end:#4589ff;\n --cds-ai-border-start:rgba(166, 200, 255, 0.36);\n --cds-ai-border-strong:#78a9ff;\n --cds-ai-drop-shadow:rgba(0, 0, 0, 0.28);\n --cds-ai-inner-shadow:rgba(69, 137, 255, 0.16);\n --cds-ai-overlay:rgba(0, 0, 0, 0.5);\n --cds-ai-popover-background:#161616;\n --cds-ai-popover-caret-bottom:#4589ff;\n --cds-ai-popover-caret-bottom-background:#202d45;\n --cds-ai-popover-caret-bottom-background-actions:#1e283a;\n --cds-ai-popover-caret-center:#4870b5;\n --cds-ai-popover-shadow-outer-01:rgba(0, 0, 0, 0.12);\n --cds-ai-popover-shadow-outer-02:rgba(0, 0, 0, 0.08);\n --cds-ai-skeleton-background:rgba(120, 169, 255, 0.5);\n --cds-ai-skeleton-element-background:rgba(120, 169, 255, 0.3);\n --cds-background:#262626;\n --cds-background-active:rgba(141, 141, 141, 0.4);\n --cds-background-brand:#0f62fe;\n --cds-background-hover:rgba(141, 141, 141, 0.16);\n --cds-background-inverse:#f4f4f4;\n --cds-background-inverse-hover:#e8e8e8;\n --cds-background-selected:rgba(141, 141, 141, 0.24);\n --cds-background-selected-hover:rgba(141, 141, 141, 0.32);\n --cds-border-disabled:rgba(141, 141, 141, 0.5);\n --cds-border-interactive:#4589ff;\n --cds-border-inverse:#f4f4f4;\n --cds-border-strong-01:#8d8d8d;\n --cds-border-strong-02:#a8a8a8;\n --cds-border-strong-03:#c6c6c6;\n --cds-border-subtle-00:#525252;\n --cds-border-subtle-01:#6f6f6f;\n --cds-border-subtle-02:#8d8d8d;\n --cds-border-subtle-03:#8d8d8d;\n --cds-border-subtle-selected-01:#8d8d8d;\n --cds-border-subtle-selected-02:#a8a8a8;\n --cds-border-subtle-selected-03:#a8a8a8;\n --cds-border-tile-01:#6f6f6f;\n --cds-border-tile-02:#8d8d8d;\n --cds-border-tile-03:#a8a8a8;\n --cds-chat-avatar-agent:#c6c6c6;\n --cds-chat-avatar-bot:#8d8d8d;\n --cds-chat-avatar-user:#4589ff;\n --cds-chat-bubble-agent:#262626;\n --cds-chat-bubble-agent-text:#f4f4f4;\n --cds-chat-bubble-border:#525252;\n --cds-chat-bubble-user:#393939;\n --cds-chat-bubble-user-text:#f4f4f4;\n --cds-chat-button:#78a9ff;\n --cds-chat-button-active:rgba(141, 141, 141, 0.4);\n --cds-chat-button-hover:rgba(141, 141, 141, 0.16);\n --cds-chat-button-selected:rgba(141, 141, 141, 0.24);\n --cds-chat-button-text-hover:#a6c8ff;\n --cds-chat-button-text-selected:#c6c6c6;\n --cds-chat-header-background:#262626;\n --cds-chat-header-text:#f4f4f4;\n --cds-chat-prompt-background:#161616;\n --cds-chat-prompt-border-end:rgba(38, 38, 38, 0);\n --cds-chat-prompt-border-start:#262626;\n --cds-chat-prompt-text:#f4f4f4;\n --cds-chat-shell-background:#262626;\n --cds-field-01:#393939;\n --cds-field-02:#525252;\n --cds-field-03:#6f6f6f;\n --cds-field-hover-01:#474747;\n --cds-field-hover-02:#636363;\n --cds-field-hover-03:#5e5e5e;\n --cds-focus:#ffffff;\n --cds-focus-inset:#161616;\n --cds-focus-inverse:#0f62fe;\n --cds-highlight:#002d9c;\n --cds-icon-disabled:rgba(244, 244, 244, 0.25);\n --cds-icon-interactive:#ffffff;\n --cds-icon-inverse:#161616;\n --cds-icon-on-color:#ffffff;\n --cds-icon-on-color-disabled:rgba(255, 255, 255, 0.25);\n --cds-icon-primary:#f4f4f4;\n --cds-icon-secondary:#c6c6c6;\n --cds-interactive:#4589ff;\n --cds-layer-01:#393939;\n --cds-layer-02:#525252;\n --cds-layer-03:#6f6f6f;\n --cds-layer-accent-01:#525252;\n --cds-layer-accent-02:#6f6f6f;\n --cds-layer-accent-03:#8d8d8d;\n --cds-layer-accent-active-01:#8d8d8d;\n --cds-layer-accent-active-02:#393939;\n --cds-layer-accent-active-03:#525252;\n --cds-layer-accent-hover-01:#636363;\n --cds-layer-accent-hover-02:#5e5e5e;\n --cds-layer-accent-hover-03:#7a7a7a;\n --cds-layer-active-01:#6f6f6f;\n --cds-layer-active-02:#8d8d8d;\n --cds-layer-active-03:#393939;\n --cds-layer-background-01:#262626;\n --cds-layer-background-02:#393939;\n --cds-layer-background-03:#525252;\n --cds-layer-hover-01:#474747;\n --cds-layer-hover-02:#636363;\n --cds-layer-hover-03:#5e5e5e;\n --cds-layer-selected-01:#525252;\n --cds-layer-selected-02:#6f6f6f;\n --cds-layer-selected-03:#525252;\n --cds-layer-selected-disabled:#a8a8a8;\n --cds-layer-selected-hover-01:#636363;\n --cds-layer-selected-hover-02:#5e5e5e;\n --cds-layer-selected-hover-03:#636363;\n --cds-layer-selected-inverse:#f4f4f4;\n --cds-link-inverse:#0f62fe;\n --cds-link-inverse-active:#161616;\n --cds-link-inverse-hover:#0043ce;\n --cds-link-inverse-visited:#8a3ffc;\n --cds-link-primary:#78a9ff;\n --cds-link-primary-hover:#a6c8ff;\n --cds-link-secondary:#a6c8ff;\n --cds-link-visited:#be95ff;\n --cds-overlay:rgba(0, 0, 0, 0.6);\n --cds-shadow:rgba(0, 0, 0, 0.8);\n --cds-skeleton-background:#333333;\n --cds-skeleton-element:#525252;\n --cds-support-caution-major:#ff832b;\n --cds-support-caution-minor:#f1c21b;\n --cds-support-caution-undefined:#a56eff;\n --cds-support-error:#ff8389;\n --cds-support-error-inverse:#da1e28;\n --cds-support-info:#4589ff;\n --cds-support-info-inverse:#0043ce;\n --cds-support-success:#42be65;\n --cds-support-success-inverse:#24a148;\n --cds-support-warning:#f1c21b;\n --cds-support-warning-inverse:#f1c21b;\n --cds-syntax-angle-bracket:#8d8d8d;\n --cds-syntax-annotation:#08bdba;\n --cds-syntax-arithmetic-operator:#e0e0e0;\n --cds-syntax-atom:#f4f4f4;\n --cds-syntax-attribute:#33b1ff;\n --cds-syntax-attribute-name:#33b1ff;\n --cds-syntax-attribute-value:#f4f4f4;\n --cds-syntax-bitwise-operator:#e0e0e0;\n --cds-syntax-block-comment:#42be65;\n --cds-syntax-bool:#f4f4f4;\n --cds-syntax-brace:#e0e0e0;\n --cds-syntax-bracket:#e0e0e0;\n --cds-syntax-character:#f4f4f4;\n --cds-syntax-class-name:#3ddbd9;\n --cds-syntax-color:#f4f4f4;\n --cds-syntax-comment:#42be65;\n --cds-syntax-compare-operator:#e0e0e0;\n --cds-syntax-constant:#4589ff;\n --cds-syntax-content:#f4f4f4;\n --cds-syntax-content-separator:#e0e0e0;\n --cds-syntax-control-keyword:#be95ff;\n --cds-syntax-control-operator:#be95ff;\n --cds-syntax-definition:#33b1ff;\n --cds-syntax-definition-keyword:#33b1ff;\n --cds-syntax-definition-operator:#33b1ff;\n --cds-syntax-deref-operator:#e0e0e0;\n --cds-syntax-doc-comment:#42be65;\n --cds-syntax-doc-string:#f4f4f4;\n --cds-syntax-document-meta:#42be65;\n --cds-syntax-emphasis:#f4f4f4;\n --cds-syntax-escape:#e0e0e0;\n --cds-syntax-float:#6fdc8c;\n --cds-syntax-function:#f1c21b;\n --cds-syntax-heading:#33b1ff;\n --cds-syntax-heading-1:#33b1ff;\n --cds-syntax-heading-2:#33b1ff;\n --cds-syntax-heading-3:#33b1ff;\n --cds-syntax-heading-4:#33b1ff;\n --cds-syntax-heading-5:#33b1ff;\n --cds-syntax-heading-6:#33b1ff;\n --cds-syntax-integer:#6fdc8c;\n --cds-syntax-invalid:#fa4d56;\n --cds-syntax-keyword:#4589ff;\n --cds-syntax-label-name:#a6c8ff;\n --cds-syntax-line-comment:#42be65;\n --cds-syntax-link:#4589ff;\n --cds-syntax-list:#f4f4f4;\n --cds-syntax-literal:#f4f4f4;\n --cds-syntax-local:#a6c8ff;\n --cds-syntax-logic-operator:#e0e0e0;\n --cds-syntax-macro-name:#f4f4f4;\n --cds-syntax-meta:#42be65;\n --cds-syntax-modifier:#4589ff;\n --cds-syntax-module-keyword:#be95ff;\n --cds-syntax-monospace:#f4f4f4;\n --cds-syntax-name:#a6c8ff;\n --cds-syntax-namespace:#3ddbd9;\n --cds-syntax-null:#f4f4f4;\n --cds-syntax-number:#6fdc8c;\n --cds-syntax-operator:#e0e0e0;\n --cds-syntax-operator-keyword:#4589ff;\n --cds-syntax-paren:#e0e0e0;\n --cds-syntax-processing-instruction:#f4f4f4;\n --cds-syntax-property-name:#33b1ff;\n --cds-syntax-punctuation:#e0e0e0;\n --cds-syntax-quote:#42be65;\n --cds-syntax-regexp:#be95ff;\n --cds-syntax-self:#3ddbd9;\n --cds-syntax-separator:#e0e0e0;\n --cds-syntax-special:#4589ff;\n --cds-syntax-special-string:#be95ff;\n --cds-syntax-square-bracket:#e0e0e0;\n --cds-syntax-standard:#4589ff;\n --cds-syntax-strikethrough:#f4f4f4;\n --cds-syntax-string:#f4f4f4;\n --cds-syntax-strong:#f4f4f4;\n --cds-syntax-tag:#3ddbd9;\n --cds-syntax-tag-name:#3ddbd9;\n --cds-syntax-type:#3ddbd9;\n --cds-syntax-type-name:#3ddbd9;\n --cds-syntax-type-operator:#3ddbd9;\n --cds-syntax-unit:#6fdc8c;\n --cds-syntax-update-operator:#e0e0e0;\n --cds-syntax-url:#e0e0e0;\n --cds-syntax-variable:#a6c8ff;\n --cds-syntax-variable-name:#a6c8ff;\n --cds-text-disabled:rgba(244, 244, 244, 0.25);\n --cds-text-error:#ffb3b8;\n --cds-text-helper:#c6c6c6;\n --cds-text-inverse:#161616;\n --cds-text-on-color:#ffffff;\n --cds-text-on-color-disabled:rgba(255, 255, 255, 0.25);\n --cds-text-placeholder:rgba(244, 244, 244, 0.4);\n --cds-text-primary:#f4f4f4;\n --cds-text-secondary:#c6c6c6;\n --cds-toggle-off:#8d8d8d;\n --cds-spacing-01:0.125rem;\n --cds-spacing-02:0.25rem;\n --cds-spacing-03:0.5rem;\n --cds-spacing-04:0.75rem;\n --cds-spacing-05:1rem;\n --cds-spacing-06:1.5rem;\n --cds-spacing-07:2rem;\n --cds-spacing-08:2.5rem;\n --cds-spacing-09:3rem;\n --cds-spacing-10:4rem;\n --cds-spacing-11:5rem;\n --cds-spacing-12:6rem;\n --cds-spacing-13:10rem;\n --cds-fluid-spacing-01:0;\n --cds-fluid-spacing-02:2vw;\n --cds-fluid-spacing-03:5vw;\n --cds-fluid-spacing-04:10vw;\n --cds-caption-01-font-size:0.75rem;\n --cds-caption-01-font-weight:400;\n --cds-caption-01-line-height:1.33333;\n --cds-caption-01-letter-spacing:0.32px;\n --cds-caption-02-font-size:0.875rem;\n --cds-caption-02-font-weight:400;\n --cds-caption-02-line-height:1.28572;\n --cds-caption-02-letter-spacing:0.32px;\n --cds-label-01-font-size:0.75rem;\n --cds-label-01-font-weight:400;\n --cds-label-01-line-height:1.33333;\n --cds-label-01-letter-spacing:0.32px;\n --cds-label-02-font-size:0.875rem;\n --cds-label-02-font-weight:400;\n --cds-label-02-line-height:1.28572;\n --cds-label-02-letter-spacing:0.16px;\n --cds-helper-text-01-font-size:0.75rem;\n --cds-helper-text-01-line-height:1.33333;\n --cds-helper-text-01-letter-spacing:0.32px;\n --cds-helper-text-02-font-size:0.875rem;\n --cds-helper-text-02-font-weight:400;\n --cds-helper-text-02-line-height:1.28572;\n --cds-helper-text-02-letter-spacing:0.16px;\n --cds-body-short-01-font-size:0.875rem;\n --cds-body-short-01-font-weight:400;\n --cds-body-short-01-line-height:1.28572;\n --cds-body-short-01-letter-spacing:0.16px;\n --cds-body-short-02-font-size:1rem;\n --cds-body-short-02-font-weight:400;\n --cds-body-short-02-line-height:1.375;\n --cds-body-short-02-letter-spacing:0;\n --cds-body-long-01-font-size:0.875rem;\n --cds-body-long-01-font-weight:400;\n --cds-body-long-01-line-height:1.42857;\n --cds-body-long-01-letter-spacing:0.16px;\n --cds-body-long-02-font-size:1rem;\n --cds-body-long-02-font-weight:400;\n --cds-body-long-02-line-height:1.5;\n --cds-body-long-02-letter-spacing:0;\n --cds-code-01-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-01-font-size:0.75rem;\n --cds-code-01-font-weight:400;\n --cds-code-01-line-height:1.33333;\n --cds-code-01-letter-spacing:0.32px;\n --cds-code-02-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-02-font-size:0.875rem;\n --cds-code-02-font-weight:400;\n --cds-code-02-line-height:1.42857;\n --cds-code-02-letter-spacing:0.32px;\n --cds-heading-01-font-size:0.875rem;\n --cds-heading-01-font-weight:600;\n --cds-heading-01-line-height:1.42857;\n --cds-heading-01-letter-spacing:0.16px;\n --cds-heading-02-font-size:1rem;\n --cds-heading-02-font-weight:600;\n --cds-heading-02-line-height:1.5;\n --cds-heading-02-letter-spacing:0;\n --cds-productive-heading-01-font-size:0.875rem;\n --cds-productive-heading-01-font-weight:600;\n --cds-productive-heading-01-line-height:1.28572;\n --cds-productive-heading-01-letter-spacing:0.16px;\n --cds-productive-heading-02-font-size:1rem;\n --cds-productive-heading-02-font-weight:600;\n --cds-productive-heading-02-line-height:1.375;\n --cds-productive-heading-02-letter-spacing:0;\n --cds-productive-heading-03-font-size:1.25rem;\n --cds-productive-heading-03-font-weight:400;\n --cds-productive-heading-03-line-height:1.4;\n --cds-productive-heading-03-letter-spacing:0;\n --cds-productive-heading-04-font-size:1.75rem;\n --cds-productive-heading-04-font-weight:400;\n --cds-productive-heading-04-line-height:1.28572;\n --cds-productive-heading-04-letter-spacing:0;\n --cds-productive-heading-05-font-size:2rem;\n --cds-productive-heading-05-font-weight:400;\n --cds-productive-heading-05-line-height:1.25;\n --cds-productive-heading-05-letter-spacing:0;\n --cds-productive-heading-06-font-size:2.625rem;\n --cds-productive-heading-06-font-weight:300;\n --cds-productive-heading-06-line-height:1.199;\n --cds-productive-heading-06-letter-spacing:0;\n --cds-productive-heading-07-font-size:3.375rem;\n --cds-productive-heading-07-font-weight:300;\n --cds-productive-heading-07-line-height:1.19;\n --cds-productive-heading-07-letter-spacing:0;\n --cds-expressive-paragraph-01-font-size:1.5rem;\n --cds-expressive-paragraph-01-font-weight:300;\n --cds-expressive-paragraph-01-line-height:1.334;\n --cds-expressive-paragraph-01-letter-spacing:0;\n --cds-expressive-heading-01-font-size:0.875rem;\n --cds-expressive-heading-01-font-weight:600;\n --cds-expressive-heading-01-line-height:1.42857;\n --cds-expressive-heading-01-letter-spacing:0.16px;\n --cds-expressive-heading-02-font-size:1rem;\n --cds-expressive-heading-02-font-weight:600;\n --cds-expressive-heading-02-line-height:1.5;\n --cds-expressive-heading-02-letter-spacing:0;\n --cds-expressive-heading-03-font-size:1.25rem;\n --cds-expressive-heading-03-font-weight:400;\n --cds-expressive-heading-03-line-height:1.4;\n --cds-expressive-heading-03-letter-spacing:0;\n --cds-expressive-heading-04-font-size:1.75rem;\n --cds-expressive-heading-04-font-weight:400;\n --cds-expressive-heading-04-line-height:1.28572;\n --cds-expressive-heading-04-letter-spacing:0;\n --cds-expressive-heading-05-font-size:2rem;\n --cds-expressive-heading-05-font-weight:400;\n --cds-expressive-heading-05-line-height:1.25;\n --cds-expressive-heading-05-letter-spacing:0;\n --cds-expressive-heading-06-font-size:2rem;\n --cds-expressive-heading-06-font-weight:600;\n --cds-expressive-heading-06-line-height:1.25;\n --cds-expressive-heading-06-letter-spacing:0;\n --cds-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-01-font-size:1.25rem;\n --cds-quotation-01-font-weight:400;\n --cds-quotation-01-line-height:1.3;\n --cds-quotation-01-letter-spacing:0;\n --cds-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-02-font-size:2rem;\n --cds-quotation-02-font-weight:300;\n --cds-quotation-02-line-height:1.25;\n --cds-quotation-02-letter-spacing:0;\n --cds-display-01-font-size:2.625rem;\n --cds-display-01-font-weight:300;\n --cds-display-01-line-height:1.19;\n --cds-display-01-letter-spacing:0;\n --cds-display-02-font-size:2.625rem;\n --cds-display-02-font-weight:600;\n --cds-display-02-line-height:1.19;\n --cds-display-02-letter-spacing:0;\n --cds-display-03-font-size:2.625rem;\n --cds-display-03-font-weight:300;\n --cds-display-03-line-height:1.19;\n --cds-display-03-letter-spacing:0;\n --cds-display-04-font-size:2.625rem;\n --cds-display-04-font-weight:300;\n --cds-display-04-line-height:1.19;\n --cds-display-04-letter-spacing:0;\n --cds-legal-01-font-size:0.75rem;\n --cds-legal-01-font-weight:400;\n --cds-legal-01-line-height:1.33333;\n --cds-legal-01-letter-spacing:0.32px;\n --cds-legal-02-font-size:0.875rem;\n --cds-legal-02-font-weight:400;\n --cds-legal-02-line-height:1.28572;\n --cds-legal-02-letter-spacing:0.16px;\n --cds-body-compact-01-font-size:0.875rem;\n --cds-body-compact-01-font-weight:400;\n --cds-body-compact-01-line-height:1.28572;\n --cds-body-compact-01-letter-spacing:0.16px;\n --cds-body-compact-02-font-size:1rem;\n --cds-body-compact-02-font-weight:400;\n --cds-body-compact-02-line-height:1.375;\n --cds-body-compact-02-letter-spacing:0;\n --cds-heading-compact-01-font-size:0.875rem;\n --cds-heading-compact-01-font-weight:600;\n --cds-heading-compact-01-line-height:1.28572;\n --cds-heading-compact-01-letter-spacing:0.16px;\n --cds-heading-compact-02-font-size:1rem;\n --cds-heading-compact-02-font-weight:600;\n --cds-heading-compact-02-line-height:1.375;\n --cds-heading-compact-02-letter-spacing:0;\n --cds-body-01-font-size:0.875rem;\n --cds-body-01-font-weight:400;\n --cds-body-01-line-height:1.42857;\n --cds-body-01-letter-spacing:0.16px;\n --cds-body-02-font-size:1rem;\n --cds-body-02-font-weight:400;\n --cds-body-02-line-height:1.5;\n --cds-body-02-letter-spacing:0;\n --cds-heading-03-font-size:1.25rem;\n --cds-heading-03-font-weight:400;\n --cds-heading-03-line-height:1.4;\n --cds-heading-03-letter-spacing:0;\n --cds-heading-04-font-size:1.75rem;\n --cds-heading-04-font-weight:400;\n --cds-heading-04-line-height:1.28572;\n --cds-heading-04-letter-spacing:0;\n --cds-heading-05-font-size:2rem;\n --cds-heading-05-font-weight:400;\n --cds-heading-05-line-height:1.25;\n --cds-heading-05-letter-spacing:0;\n --cds-heading-06-font-size:2.625rem;\n --cds-heading-06-font-weight:300;\n --cds-heading-06-line-height:1.199;\n --cds-heading-06-letter-spacing:0;\n --cds-heading-07-font-size:3.375rem;\n --cds-heading-07-font-weight:300;\n --cds-heading-07-line-height:1.19;\n --cds-heading-07-letter-spacing:0;\n --cds-fluid-heading-03-font-size:1.25rem;\n --cds-fluid-heading-03-font-weight:400;\n --cds-fluid-heading-03-line-height:1.4;\n --cds-fluid-heading-03-letter-spacing:0;\n --cds-fluid-heading-04-font-size:1.75rem;\n --cds-fluid-heading-04-font-weight:400;\n --cds-fluid-heading-04-line-height:1.28572;\n --cds-fluid-heading-04-letter-spacing:0;\n --cds-fluid-heading-05-font-size:2rem;\n --cds-fluid-heading-05-font-weight:400;\n --cds-fluid-heading-05-line-height:1.25;\n --cds-fluid-heading-05-letter-spacing:0;\n --cds-fluid-heading-06-font-size:2rem;\n --cds-fluid-heading-06-font-weight:600;\n --cds-fluid-heading-06-line-height:1.25;\n --cds-fluid-heading-06-letter-spacing:0;\n --cds-fluid-paragraph-01-font-size:1.5rem;\n --cds-fluid-paragraph-01-font-weight:300;\n --cds-fluid-paragraph-01-line-height:1.334;\n --cds-fluid-paragraph-01-letter-spacing:0;\n --cds-fluid-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-fluid-quotation-01-font-size:1.25rem;\n --cds-fluid-quotation-01-font-weight:400;\n --cds-fluid-quotation-01-line-height:1.3;\n --cds-fluid-quotation-01-letter-spacing:0;\n --cds-fluid-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-fluid-quotation-02-font-size:2rem;\n --cds-fluid-quotation-02-font-weight:300;\n --cds-fluid-quotation-02-line-height:1.25;\n --cds-fluid-quotation-02-letter-spacing:0;\n --cds-fluid-display-01-font-size:2.625rem;\n --cds-fluid-display-01-font-weight:300;\n --cds-fluid-display-01-line-height:1.19;\n --cds-fluid-display-01-letter-spacing:0;\n --cds-fluid-display-02-font-size:2.625rem;\n --cds-fluid-display-02-font-weight:600;\n --cds-fluid-display-02-line-height:1.19;\n --cds-fluid-display-02-letter-spacing:0;\n --cds-fluid-display-03-font-size:2.625rem;\n --cds-fluid-display-03-font-weight:300;\n --cds-fluid-display-03-line-height:1.19;\n --cds-fluid-display-03-letter-spacing:0;\n --cds-fluid-display-04-font-size:2.625rem;\n --cds-fluid-display-04-font-weight:300;\n --cds-fluid-display-04-line-height:1.19;\n --cds-fluid-display-04-letter-spacing:0;\n --cds-button-separator:#161616;\n --cds-button-primary:#0f62fe;\n --cds-button-secondary:#6f6f6f;\n --cds-button-tertiary:#ffffff;\n --cds-button-danger-primary:#da1e28;\n --cds-button-danger-secondary:#ff8389;\n --cds-button-danger-active:#750e13;\n --cds-button-primary-active:#002d9c;\n --cds-button-secondary-active:#393939;\n --cds-button-tertiary-active:#c6c6c6;\n --cds-button-danger-hover:#b81921;\n --cds-button-primary-hover:#0050e6;\n --cds-button-secondary-hover:#5e5e5e;\n --cds-button-tertiary-hover:#f4f4f4;\n --cds-button-disabled:rgba(141, 141, 141, 0.3);\n}\n@media screen and (-ms-high-contrast: active), (forced-colors: active){\n :host .cds--g90{\n --cds-icon-primary:ButtonText;\n --cds-icon-secondary:ButtonText;\n --cds-icon-interactive:ButtonText;\n --cds-icon-disabled:GrayText;\n --cds-icon-on-color-disabled:GrayText;\n --cds-icon-inverse:SelectedItemText;\n --cds-icon-on-color:SelectedItemText;\n --cds-button-disabled:GrayText;\n --cds-interactive:ButtonText;\n --cds-link-primary:LinkText;\n --cds-link-primary-hover:LinkText;\n --cds-link-secondary:LinkText;\n --cds-link-inverse:SelectedItemText;\n --cds-link-inverse-hover:SelectedItemText;\n --cds-link-inverse-visited:SelectedItemText;\n --cds-link-visited:VisitedText;\n --cds-background-selected:SelectedItem;\n --cds-background-selected-hover:SelectedItem;\n --cds-background-inverse:SelectedItem;\n --cds-layer-selected-inverse:SelectedItem;\n }\n}\n:host .cds--g90{\n --cds-layer:var(--cds-layer-01, #f4f4f4);\n --cds-layer-active:var(--cds-layer-active-01, #c6c6c6);\n --cds-layer-background:var(--cds-layer-background-01, #ffffff);\n --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8);\n --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0);\n --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1);\n --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0);\n --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1);\n --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8);\n --cds-field:var(--cds-field-01, #f4f4f4);\n --cds-field-hover:var(--cds-field-hover-01, #e8e8e8);\n --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0);\n --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6);\n --cds-border-strong:var(--cds-border-strong-01, #8d8d8d);\n --cds-border-tile:var(--cds-border-tile-01, #c6c6c6);\n}\n:host .cds--g100{\n --cds-ai-aura-end:rgba(0, 0, 0, 0);\n --cds-ai-aura-hover-background:#333333;\n --cds-ai-aura-hover-end:rgba(0, 0, 0, 0);\n --cds-ai-aura-hover-start:rgba(69, 137, 255, 0.4);\n --cds-ai-aura-start:rgba(69, 137, 255, 0.1);\n --cds-ai-aura-start-sm:rgba(69, 137, 255, 0.16);\n --cds-ai-border-end:#4589ff;\n --cds-ai-border-start:rgba(166, 200, 255, 0.36);\n --cds-ai-border-strong:#78a9ff;\n --cds-ai-drop-shadow:rgba(0, 0, 0, 0.28);\n --cds-ai-inner-shadow:rgba(69, 137, 255, 0.16);\n --cds-ai-overlay:rgba(0, 0, 0, 0.5);\n --cds-ai-popover-background:#161616;\n --cds-ai-popover-caret-bottom:#4589ff;\n --cds-ai-popover-caret-bottom-background:#202d45;\n --cds-ai-popover-caret-bottom-background-actions:#1e283a;\n --cds-ai-popover-caret-center:#4870b5;\n --cds-ai-popover-shadow-outer-01:rgba(0, 0, 0, 0.12);\n --cds-ai-popover-shadow-outer-02:rgba(0, 0, 0, 0.08);\n --cds-ai-skeleton-background:rgba(120, 169, 255, 0.5);\n --cds-ai-skeleton-element-background:rgba(120, 169, 255, 0.3);\n --cds-background:#161616;\n --cds-background-active:rgba(141, 141, 141, 0.4);\n --cds-background-brand:#0f62fe;\n --cds-background-hover:rgba(141, 141, 141, 0.16);\n --cds-background-inverse:#f4f4f4;\n --cds-background-inverse-hover:#e8e8e8;\n --cds-background-selected:rgba(141, 141, 141, 0.24);\n --cds-background-selected-hover:rgba(141, 141, 141, 0.32);\n --cds-border-disabled:rgba(141, 141, 141, 0.5);\n --cds-border-interactive:#4589ff;\n --cds-border-inverse:#f4f4f4;\n --cds-border-strong-01:#6f6f6f;\n --cds-border-strong-02:#8d8d8d;\n --cds-border-strong-03:#a8a8a8;\n --cds-border-subtle-00:#393939;\n --cds-border-subtle-01:#525252;\n --cds-border-subtle-02:#6f6f6f;\n --cds-border-subtle-03:#6f6f6f;\n --cds-border-subtle-selected-01:#6f6f6f;\n --cds-border-subtle-selected-02:#8d8d8d;\n --cds-border-subtle-selected-03:#8d8d8d;\n --cds-border-tile-01:#525252;\n --cds-border-tile-02:#6f6f6f;\n --cds-border-tile-03:#8d8d8d;\n --cds-chat-avatar-agent:#c6c6c6;\n --cds-chat-avatar-bot:#8d8d8d;\n --cds-chat-avatar-user:#4589ff;\n --cds-chat-bubble-agent:#262626;\n --cds-chat-bubble-agent-text:#f4f4f4;\n --cds-chat-bubble-border:#525252;\n --cds-chat-bubble-user:#393939;\n --cds-chat-bubble-user-text:#f4f4f4;\n --cds-chat-button:#78a9ff;\n --cds-chat-button-active:rgba(141, 141, 141, 0.4);\n --cds-chat-button-hover:rgba(141, 141, 141, 0.16);\n --cds-chat-button-selected:rgba(141, 141, 141, 0.24);\n --cds-chat-button-text-hover:#a6c8ff;\n --cds-chat-button-text-selected:#c6c6c6;\n --cds-chat-header-background:#262626;\n --cds-chat-header-text:#f4f4f4;\n --cds-chat-prompt-background:#161616;\n --cds-chat-prompt-border-end:rgba(38, 38, 38, 0);\n --cds-chat-prompt-border-start:#262626;\n --cds-chat-prompt-text:#f4f4f4;\n --cds-chat-shell-background:#262626;\n --cds-field-01:#262626;\n --cds-field-02:#393939;\n --cds-field-03:#525252;\n --cds-field-hover-01:#333333;\n --cds-field-hover-02:#474747;\n --cds-field-hover-03:#636363;\n --cds-focus:#ffffff;\n --cds-focus-inset:#161616;\n --cds-focus-inverse:#0f62fe;\n --cds-highlight:#001d6c;\n --cds-icon-disabled:rgba(244, 244, 244, 0.25);\n --cds-icon-interactive:#ffffff;\n --cds-icon-inverse:#161616;\n --cds-icon-on-color:#ffffff;\n --cds-icon-on-color-disabled:rgba(255, 255, 255, 0.25);\n --cds-icon-primary:#f4f4f4;\n --cds-icon-secondary:#c6c6c6;\n --cds-interactive:#4589ff;\n --cds-layer-01:#262626;\n --cds-layer-02:#393939;\n --cds-layer-03:#525252;\n --cds-layer-accent-01:#393939;\n --cds-layer-accent-02:#525252;\n --cds-layer-accent-03:#6f6f6f;\n --cds-layer-accent-active-01:#6f6f6f;\n --cds-layer-accent-active-02:#8d8d8d;\n --cds-layer-accent-active-03:#393939;\n --cds-layer-accent-hover-01:#474747;\n --cds-layer-accent-hover-02:#636363;\n --cds-layer-accent-hover-03:#5e5e5e;\n --cds-layer-active-01:#525252;\n --cds-layer-active-02:#6f6f6f;\n --cds-layer-active-03:#8d8d8d;\n --cds-layer-background-01:#161616;\n --cds-layer-background-02:#262626;\n --cds-layer-background-03:#393939;\n --cds-layer-hover-01:#333333;\n --cds-layer-hover-02:#474747;\n --cds-layer-hover-03:#636363;\n --cds-layer-selected-01:#393939;\n --cds-layer-selected-02:#525252;\n --cds-layer-selected-03:#6f6f6f;\n --cds-layer-selected-disabled:#a8a8a8;\n --cds-layer-selected-hover-01:#474747;\n --cds-layer-selected-hover-02:#636363;\n --cds-layer-selected-hover-03:#5e5e5e;\n --cds-layer-selected-inverse:#f4f4f4;\n --cds-link-inverse:#0f62fe;\n --cds-link-inverse-active:#161616;\n --cds-link-inverse-hover:#0043ce;\n --cds-link-inverse-visited:#8a3ffc;\n --cds-link-primary:#78a9ff;\n --cds-link-primary-hover:#a6c8ff;\n --cds-link-secondary:#a6c8ff;\n --cds-link-visited:#be95ff;\n --cds-overlay:rgba(0, 0, 0, 0.6);\n --cds-shadow:rgba(0, 0, 0, 0.8);\n --cds-skeleton-background:#292929;\n --cds-skeleton-element:#393939;\n --cds-support-caution-major:#ff832b;\n --cds-support-caution-minor:#f1c21b;\n --cds-support-caution-undefined:#a56eff;\n --cds-support-error:#fa4d56;\n --cds-support-error-inverse:#da1e28;\n --cds-support-info:#4589ff;\n --cds-support-info-inverse:#0043ce;\n --cds-support-success:#42be65;\n --cds-support-success-inverse:#24a148;\n --cds-support-warning:#f1c21b;\n --cds-support-warning-inverse:#f1c21b;\n --cds-syntax-angle-bracket:#8d8d8d;\n --cds-syntax-annotation:#08bdba;\n --cds-syntax-arithmetic-operator:#e0e0e0;\n --cds-syntax-atom:#f4f4f4;\n --cds-syntax-attribute:#33b1ff;\n --cds-syntax-attribute-name:#33b1ff;\n --cds-syntax-attribute-value:#f4f4f4;\n --cds-syntax-bitwise-operator:#e0e0e0;\n --cds-syntax-block-comment:#42be65;\n --cds-syntax-bool:#f4f4f4;\n --cds-syntax-brace:#e0e0e0;\n --cds-syntax-bracket:#e0e0e0;\n --cds-syntax-character:#f4f4f4;\n --cds-syntax-class-name:#3ddbd9;\n --cds-syntax-color:#f4f4f4;\n --cds-syntax-comment:#42be65;\n --cds-syntax-compare-operator:#e0e0e0;\n --cds-syntax-constant:#4589ff;\n --cds-syntax-content:#f4f4f4;\n --cds-syntax-content-separator:#e0e0e0;\n --cds-syntax-control-keyword:#be95ff;\n --cds-syntax-control-operator:#be95ff;\n --cds-syntax-definition:#33b1ff;\n --cds-syntax-definition-keyword:#33b1ff;\n --cds-syntax-definition-operator:#33b1ff;\n --cds-syntax-deref-operator:#e0e0e0;\n --cds-syntax-doc-comment:#42be65;\n --cds-syntax-doc-string:#f4f4f4;\n --cds-syntax-document-meta:#42be65;\n --cds-syntax-emphasis:#f4f4f4;\n --cds-syntax-escape:#e0e0e0;\n --cds-syntax-float:#6fdc8c;\n --cds-syntax-function:#f1c21b;\n --cds-syntax-heading:#33b1ff;\n --cds-syntax-heading-1:#33b1ff;\n --cds-syntax-heading-2:#33b1ff;\n --cds-syntax-heading-3:#33b1ff;\n --cds-syntax-heading-4:#33b1ff;\n --cds-syntax-heading-5:#33b1ff;\n --cds-syntax-heading-6:#33b1ff;\n --cds-syntax-integer:#6fdc8c;\n --cds-syntax-invalid:#fa4d56;\n --cds-syntax-keyword:#4589ff;\n --cds-syntax-label-name:#a6c8ff;\n --cds-syntax-line-comment:#42be65;\n --cds-syntax-link:#4589ff;\n --cds-syntax-list:#f4f4f4;\n --cds-syntax-literal:#f4f4f4;\n --cds-syntax-local:#a6c8ff;\n --cds-syntax-logic-operator:#e0e0e0;\n --cds-syntax-macro-name:#f4f4f4;\n --cds-syntax-meta:#42be65;\n --cds-syntax-modifier:#4589ff;\n --cds-syntax-module-keyword:#be95ff;\n --cds-syntax-monospace:#f4f4f4;\n --cds-syntax-name:#a6c8ff;\n --cds-syntax-namespace:#3ddbd9;\n --cds-syntax-null:#f4f4f4;\n --cds-syntax-number:#6fdc8c;\n --cds-syntax-operator:#e0e0e0;\n --cds-syntax-operator-keyword:#4589ff;\n --cds-syntax-paren:#e0e0e0;\n --cds-syntax-processing-instruction:#f4f4f4;\n --cds-syntax-property-name:#33b1ff;\n --cds-syntax-punctuation:#e0e0e0;\n --cds-syntax-quote:#42be65;\n --cds-syntax-regexp:#be95ff;\n --cds-syntax-self:#3ddbd9;\n --cds-syntax-separator:#e0e0e0;\n --cds-syntax-special:#4589ff;\n --cds-syntax-special-string:#be95ff;\n --cds-syntax-square-bracket:#e0e0e0;\n --cds-syntax-standard:#4589ff;\n --cds-syntax-strikethrough:#f4f4f4;\n --cds-syntax-string:#f4f4f4;\n --cds-syntax-strong:#f4f4f4;\n --cds-syntax-tag:#3ddbd9;\n --cds-syntax-tag-name:#3ddbd9;\n --cds-syntax-type:#3ddbd9;\n --cds-syntax-type-name:#3ddbd9;\n --cds-syntax-type-operator:#3ddbd9;\n --cds-syntax-unit:#6fdc8c;\n --cds-syntax-update-operator:#e0e0e0;\n --cds-syntax-url:#e0e0e0;\n --cds-syntax-variable:#a6c8ff;\n --cds-syntax-variable-name:#a6c8ff;\n --cds-text-disabled:rgba(244, 244, 244, 0.25);\n --cds-text-error:#ff8389;\n --cds-text-helper:#a8a8a8;\n --cds-text-inverse:#161616;\n --cds-text-on-color:#ffffff;\n --cds-text-on-color-disabled:rgba(255, 255, 255, 0.25);\n --cds-text-placeholder:rgba(244, 244, 244, 0.4);\n --cds-text-primary:#f4f4f4;\n --cds-text-secondary:#c6c6c6;\n --cds-toggle-off:#6f6f6f;\n --cds-spacing-01:0.125rem;\n --cds-spacing-02:0.25rem;\n --cds-spacing-03:0.5rem;\n --cds-spacing-04:0.75rem;\n --cds-spacing-05:1rem;\n --cds-spacing-06:1.5rem;\n --cds-spacing-07:2rem;\n --cds-spacing-08:2.5rem;\n --cds-spacing-09:3rem;\n --cds-spacing-10:4rem;\n --cds-spacing-11:5rem;\n --cds-spacing-12:6rem;\n --cds-spacing-13:10rem;\n --cds-fluid-spacing-01:0;\n --cds-fluid-spacing-02:2vw;\n --cds-fluid-spacing-03:5vw;\n --cds-fluid-spacing-04:10vw;\n --cds-caption-01-font-size:0.75rem;\n --cds-caption-01-font-weight:400;\n --cds-caption-01-line-height:1.33333;\n --cds-caption-01-letter-spacing:0.32px;\n --cds-caption-02-font-size:0.875rem;\n --cds-caption-02-font-weight:400;\n --cds-caption-02-line-height:1.28572;\n --cds-caption-02-letter-spacing:0.32px;\n --cds-label-01-font-size:0.75rem;\n --cds-label-01-font-weight:400;\n --cds-label-01-line-height:1.33333;\n --cds-label-01-letter-spacing:0.32px;\n --cds-label-02-font-size:0.875rem;\n --cds-label-02-font-weight:400;\n --cds-label-02-line-height:1.28572;\n --cds-label-02-letter-spacing:0.16px;\n --cds-helper-text-01-font-size:0.75rem;\n --cds-helper-text-01-line-height:1.33333;\n --cds-helper-text-01-letter-spacing:0.32px;\n --cds-helper-text-02-font-size:0.875rem;\n --cds-helper-text-02-font-weight:400;\n --cds-helper-text-02-line-height:1.28572;\n --cds-helper-text-02-letter-spacing:0.16px;\n --cds-body-short-01-font-size:0.875rem;\n --cds-body-short-01-font-weight:400;\n --cds-body-short-01-line-height:1.28572;\n --cds-body-short-01-letter-spacing:0.16px;\n --cds-body-short-02-font-size:1rem;\n --cds-body-short-02-font-weight:400;\n --cds-body-short-02-line-height:1.375;\n --cds-body-short-02-letter-spacing:0;\n --cds-body-long-01-font-size:0.875rem;\n --cds-body-long-01-font-weight:400;\n --cds-body-long-01-line-height:1.42857;\n --cds-body-long-01-letter-spacing:0.16px;\n --cds-body-long-02-font-size:1rem;\n --cds-body-long-02-font-weight:400;\n --cds-body-long-02-line-height:1.5;\n --cds-body-long-02-letter-spacing:0;\n --cds-code-01-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-01-font-size:0.75rem;\n --cds-code-01-font-weight:400;\n --cds-code-01-line-height:1.33333;\n --cds-code-01-letter-spacing:0.32px;\n --cds-code-02-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace;\n --cds-code-02-font-size:0.875rem;\n --cds-code-02-font-weight:400;\n --cds-code-02-line-height:1.42857;\n --cds-code-02-letter-spacing:0.32px;\n --cds-heading-01-font-size:0.875rem;\n --cds-heading-01-font-weight:600;\n --cds-heading-01-line-height:1.42857;\n --cds-heading-01-letter-spacing:0.16px;\n --cds-heading-02-font-size:1rem;\n --cds-heading-02-font-weight:600;\n --cds-heading-02-line-height:1.5;\n --cds-heading-02-letter-spacing:0;\n --cds-productive-heading-01-font-size:0.875rem;\n --cds-productive-heading-01-font-weight:600;\n --cds-productive-heading-01-line-height:1.28572;\n --cds-productive-heading-01-letter-spacing:0.16px;\n --cds-productive-heading-02-font-size:1rem;\n --cds-productive-heading-02-font-weight:600;\n --cds-productive-heading-02-line-height:1.375;\n --cds-productive-heading-02-letter-spacing:0;\n --cds-productive-heading-03-font-size:1.25rem;\n --cds-productive-heading-03-font-weight:400;\n --cds-productive-heading-03-line-height:1.4;\n --cds-productive-heading-03-letter-spacing:0;\n --cds-productive-heading-04-font-size:1.75rem;\n --cds-productive-heading-04-font-weight:400;\n --cds-productive-heading-04-line-height:1.28572;\n --cds-productive-heading-04-letter-spacing:0;\n --cds-productive-heading-05-font-size:2rem;\n --cds-productive-heading-05-font-weight:400;\n --cds-productive-heading-05-line-height:1.25;\n --cds-productive-heading-05-letter-spacing:0;\n --cds-productive-heading-06-font-size:2.625rem;\n --cds-productive-heading-06-font-weight:300;\n --cds-productive-heading-06-line-height:1.199;\n --cds-productive-heading-06-letter-spacing:0;\n --cds-productive-heading-07-font-size:3.375rem;\n --cds-productive-heading-07-font-weight:300;\n --cds-productive-heading-07-line-height:1.19;\n --cds-productive-heading-07-letter-spacing:0;\n --cds-expressive-paragraph-01-font-size:1.5rem;\n --cds-expressive-paragraph-01-font-weight:300;\n --cds-expressive-paragraph-01-line-height:1.334;\n --cds-expressive-paragraph-01-letter-spacing:0;\n --cds-expressive-heading-01-font-size:0.875rem;\n --cds-expressive-heading-01-font-weight:600;\n --cds-expressive-heading-01-line-height:1.42857;\n --cds-expressive-heading-01-letter-spacing:0.16px;\n --cds-expressive-heading-02-font-size:1rem;\n --cds-expressive-heading-02-font-weight:600;\n --cds-expressive-heading-02-line-height:1.5;\n --cds-expressive-heading-02-letter-spacing:0;\n --cds-expressive-heading-03-font-size:1.25rem;\n --cds-expressive-heading-03-font-weight:400;\n --cds-expressive-heading-03-line-height:1.4;\n --cds-expressive-heading-03-letter-spacing:0;\n --cds-expressive-heading-04-font-size:1.75rem;\n --cds-expressive-heading-04-font-weight:400;\n --cds-expressive-heading-04-line-height:1.28572;\n --cds-expressive-heading-04-letter-spacing:0;\n --cds-expressive-heading-05-font-size:2rem;\n --cds-expressive-heading-05-font-weight:400;\n --cds-expressive-heading-05-line-height:1.25;\n --cds-expressive-heading-05-letter-spacing:0;\n --cds-expressive-heading-06-font-size:2rem;\n --cds-expressive-heading-06-font-weight:600;\n --cds-expressive-heading-06-line-height:1.25;\n --cds-expressive-heading-06-letter-spacing:0;\n --cds-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-01-font-size:1.25rem;\n --cds-quotation-01-font-weight:400;\n --cds-quotation-01-line-height:1.3;\n --cds-quotation-01-letter-spacing:0;\n --cds-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif;\n --cds-quotation-02-font-size:2rem;\n --cds-quotation-02-font-weight:300;\n --cds-quotation-02-line-height:1.25;\n --cds-quotation-02-letter-spacing:0;\n --cds-display-01-font-size:2.625rem;\n --cds-display-01-font-weight:300;\n --cds-display-01-line-height:1.19;\n --cds-display-01-letter-spacing:0;\n --cds-display-02-font-size:2.625rem;\n --cds-display-02-font-weight:600;\n --cds-display-02-line-height:1.19;\n --cds-display-02-letter-spacing:0;\n --cds-display-03-font-size:2.625rem;\n --cds-display-03-font-weight:300;\n --cds-display-03-line-height:1.19;\n --cds-display-03-letter-spacing:0;\n --cds-display-04-font-size:2.625rem;\n 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path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger--ghost{padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - .0625rem)}.cds--btn--danger--ghost .cds--btn__icon,:host(cds-button) .cds--btn--danger--ghost ::slotted([slot=icon]),:host(cds-modal-footer-button) .cds--btn--danger--ghost ::slotted([slot=icon]){margin-inline-start:.5rem;position:static}.cds--btn--danger--ghost:active,.cds--btn--danger--ghost:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--ghost.cds--btn--disabled,.cds--btn--danger--ghost.cds--btn--disabled:focus,.cds--btn--danger--ghost.cds--btn--disabled:hover,.cds--btn--danger--ghost:disabled,.cds--btn--danger--ghost:focus:disabled,.cds--btn--danger--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--expressive{font-size:var(--cds-body-compact-02-font-size,1rem);font-weight:var(--cds-body-compact-02-font-weight,400);letter-spacing:var(--cds-body-compact-02-letter-spacing,0);line-height:var(--cds-body-compact-02-line-height,1.375);padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh))/2 - .0625rem,var(--temp-padding-block-max))}.cds--btn--icon-only.cds--btn--expressive{padding:12px 13px}.cds--btn.cds--btn--expressive .cds--btn__icon,:host(cds-button) .cds--btn.cds--btn--expressive ::slotted([slot=icon]),:host(cds-modal-footer-button) .cds--btn.cds--btn--expressive ::slotted([slot=icon]){block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive,:host(cds-button-set) .cds--btn.cds--btn--expressive,:host(cds-side-panel-button-set) .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn.cds--skeleton{background:CanvasText}.cds--btn.cds--skeleton:before{background:Canvas;forced-color-adjust:none}}.cds--btn.cds--skeleton{inline-size:9.375rem}.cds--btn-set,:host(cds-button-set),:host(cds-side-panel-button-set){display:flex}.cds--btn-set--stacked,:host(cds-button-set[stacked]){flex-direction:column}.cds--btn-set .cds--btn,:host(cds-button-set) .cds--btn,:host(cds-side-panel-button-set) .cds--btn{inline-size:100%;max-inline-size:12.25rem}.cds--btn-set .cds--btn:not(:focus),:host(cds-button-set) .cds--btn:not(:focus),:host(cds-side-panel-button-set) .cds--btn:not(:focus){box-shadow:-.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set .cds--btn:first-of-type:not(:focus),:host(cds-button-set) .cds--btn:first-of-type:not(:focus),:host(cds-side-panel-button-set) .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn:focus+.cds--btn,:host(cds-button-set) .cds--btn:focus+.cds--btn,:host(cds-side-panel-button-set) .cds--btn:focus+.cds--btn{box-shadow:inherit}.cds--btn-set--stacked .cds--btn:not(:focus),:host(cds-button-set[stacked]) .cds--btn:not(:focus){box-shadow:0 -.0625rem 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--stacked .cds--btn:first-of-type:not(:focus),:host(cds-button-set[stacked]) .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn.cds--btn--disabled,:host(cds-button-set) .cds--btn.cds--btn--disabled,:host(cds-side-panel-button-set) .cds--btn.cds--btn--disabled{box-shadow:-.0625rem 0 0 0 var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn-set .cds--btn.cds--btn--disabled:first-of-type,:host(cds-button-set) .cds--btn.cds--btn--disabled:first-of-type,:host(cds-side-panel-button-set) .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set--stacked .cds--btn.cds--btn--disabled,:host(cds-button-set[stacked]) .cds--btn.cds--btn--disabled{box-shadow:0 -.0625rem 0 0 var(--cds-layer-selected-disabled,#8d8d8d)}.cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type,:host(cds-button-set[stacked]) .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set .cds--btn.cds--btn--loading,:host(cds-button-set) .cds--btn.cds--btn--loading,:host(cds-side-panel-button-set) .cds--btn.cds--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds--btn--sm .cds--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds--btn-set .cds--btn:not(:focus),[dir=rtl] :host(cds-button-set) .cds--btn:not(:focus),[dir=rtl] :host(cds-side-panel-button-set) .cds--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--fluid{container-type:inline-size}.cds--btn-set--fluid .cds--btn-set__fluid-inner{--flex-direction:row;align-items:stretch;display:flex;flex-direction:var(--flex-direction);inline-size:100%;justify-content:flex-end}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{flex:0 1 25%;max-inline-size:14.5rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{min-inline-size:11rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--danger--ghost,.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--ghost{flex:1 1 25%;max-inline-size:none;padding-inline-start:2rem}@container (width <= 11rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 22rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:nth-child(2):last-child) .cds--btn{flex-basis:50%;max-inline-size:none}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner:has(:first-child:last-child) .cds--btn{flex:1 1 100%;max-inline-size:none}}.cds--copy-btn{position:relative}.cds--copy-btn:hover{background-color:var(--cds-layer-hover)}.cds--copy-btn:active{background-color:var(--cds-layer-active)}.cds--copy-btn:before{block-size:0;border-style:solid;content:"";display:none;inline-size:0;position:absolute;z-index:6000}.cds--copy-btn .cds--copy-btn__feedback{background-color:var(--cds-background-inverse,#393939);block-size:auto;border-radius:.125rem;box-shadow:0 2px 6px var(--cds-shadow,rgba(0,0,0,.3));color:var(--cds-text-inverse,#fff);font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:400;font-weight:var(--cds-body-compact-01-font-weight,400);inline-size:-moz-max-content;inline-size:max-content;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);max-inline-size:13rem;min-inline-size:1.5rem;padding:.1875rem 1rem;text-align:start;transform:translateX(-50%);z-index:6000}@media (-ms-high-contrast:active),(-ms-high-contrast:none){.cds--copy-btn .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-accelerator:true){.cds--copy-btn .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-ime-align:auto){.cds--copy-btn .cds--copy-btn__feedback{inline-size:auto}}@media screen and (-ms-high-contrast:active),screen and (prefers-contrast){.cds--copy-btn .cds--copy-btn__feedback{border:1px solid transparent}}.cds--copy-btn .cds--copy-btn__feedback{box-sizing:content-box;display:none;margin:auto;overflow:visible;clip:auto}.cds--copy-btn.cds--copy-btn--animating .cds--copy-btn__feedback,.cds--copy-btn.cds--copy-btn--animating:before{display:block}.cds--copy-btn.cds--copy-btn--animating:before{border:none}.cds--copy-btn.cds--copy-btn--animating.cds--copy-btn--fade-out .cds--copy-btn__feedback,.cds--copy-btn.cds--copy-btn--animating.cds--copy-btn--fade-out:before{animation:cds--hide-feedback .11s 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var(--cds-chat-button,#0f62fe);color:var(--cds-chat-button,#0f62fe)}.cds--chat-btn--quick-action:hover:not(:active):not([disabled]){background:var(--cds-chat-button-hover,hsla(0,0%,55%,.12));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}.cds--chat-btn--quick-action:active{background:var(--cds-chat-button-active,hsla(0,0%,55%,.5));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}.cds--chat-btn--quick-action.cds--btn--ghost:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 1px var(--cds-focus,#0f62fe)}.cds--chat-btn--quick-action.cds--btn--ghost:hover:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 1px var(--cds-focus-inset,#fff)}.cds--chat-btn--quick-action[disabled],.cds--chat-btn--quick-action[disabled]:hover{border-color:var(--cds-button-disabled,#c6c6c6);color:var(--cds-button-disabled,#c6c6c6)}.cds--chat-btn--quick-action--selected,.cds--chat-btn--quick-action--selected[disabled],.cds--chat-btn--quick-action--selected[disabled]:hover{background:var(--cds-chat-button-selected,hsla(0,0%,55%,.2));border-color:transparent;color:var(--cds-chat-button-text-selected,#525252)}.cds--chat-btn--quick-action.cds--chat-btn--quick-action--selected:not([disabled]):active,.cds--chat-btn--quick-action.cds--chat-btn--quick-action--selected:not([disabled]):hover{color:var(--cds-chat-button-text-selected,#525252)}.cds--chat-btn.cds--skeleton{overflow:hidden}.cds--snippet html{font-size:100%}.cds--snippet body{font-family:IBM Plex 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Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333)}.cds--snippet--inline html{font-size:100%}.cds--snippet--inline body{font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;text-rendering:optimizeLegibility}.cds--snippet--inline code{font-family:IBM Plex Mono,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,monospace}.cds--snippet--inline strong{font-weight:600}.cds--snippet--inline{background-color:var(--cds-layer);border:1px solid transparent;border-radius:4px;color:var(--cds-text-primary,#161616);cursor:pointer;display:inline;padding:0;position:relative}.cds--snippet--inline:hover{background-color:var(--cds-layer-hover)}.cds--snippet--inline:active{background-color:var(--cds-layer-active)}.cds--snippet--inline:focus{border:1px solid var(--cds-focus,#0f62fe);outline:none}.cds--snippet--inline:before{block-size:0;border:none;content:"";display:none;inline-size:0;position:absolute;z-index:6000}.cds--snippet--inline .cds--copy-btn__feedback{background-color:var(--cds-background-inverse,#393939);block-size:auto;border-radius:.125rem;box-shadow:0 2px 6px var(--cds-shadow,rgba(0,0,0,.3));color:var(--cds-text-inverse,#fff);font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:400;font-weight:var(--cds-body-compact-01-font-weight,400);inline-size:-moz-max-content;inline-size:max-content;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);max-inline-size:13rem;min-inline-size:1.5rem;padding:.1875rem 1rem;text-align:start;transform:translateX(-50%);z-index:6000}@media (-ms-high-contrast:active),(-ms-high-contrast:none){.cds--snippet--inline .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-accelerator:true){.cds--snippet--inline .cds--copy-btn__feedback{inline-size:auto}}@supports (-ms-ime-align:auto){.cds--snippet--inline .cds--copy-btn__feedback{inline-size:auto}}@media screen and (-ms-high-contrast:active),screen and (prefers-contrast){.cds--snippet--inline .cds--copy-btn__feedback{border:1px solid transparent}}.cds--snippet--inline .cds--copy-btn__feedback{box-sizing:content-box;display:none;margin:auto;overflow:visible;clip:auto}.cds--snippet--inline.cds--copy-btn--animating .cds--copy-btn__feedback,.cds--snippet--inline.cds--copy-btn--animating:before{display:block}.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-out .cds--copy-btn__feedback,.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-out:before{animation:cds--hide-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-in .cds--copy-btn__feedback,.cds--snippet--inline.cds--copy-btn--animating.cds--copy-btn--fade-in:before{animation:cds--show-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds--snippet--inline code{padding:0 .5rem}.cds--snippet--inline.cds--snippet--no-copy{display:inline-block}.cds--snippet--inline.cds--snippet--no-copy:hover{background-color:var(--cds-layer);cursor:auto}.cds--snippet--light.cds--snippet--inline.cds--snippet--no-copy:hover{background-color:var(--cds-layer-hover);cursor:auto}.cds--snippet--single{align-items:center;background-color:var(--cds-layer);block-size:2.5rem;display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);inline-size:100%;letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);max-inline-size:48rem;padding-inline-end:2.5rem;position:relative}.cds--snippet--single.cds--snippet--no-copy{padding:0}.cds--snippet--single.cds--snippet--no-copy:after{inset-inline-end:1rem}.cds--snippet--single .cds--snippet-container{align-items:center;block-size:100%;display:flex;overflow-x:auto;padding-inline-start:1rem;position:relative}.cds--snippet--single .cds--snippet-container:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds--snippet--single .cds--snippet-container:focus{outline-style:dotted}}.cds--snippet--single pre{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);padding-inline-end:2rem}.cds--snippet--inline code,.cds--snippet--single pre{white-space:pre}.cds--snippet--multi{background-color:var(--cds-layer);display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex 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svg{fill:var(--cds-icon-primary,#161616)}.cds--btn--icon-only{align-items:center;block-size:var(--cds-layout-size-height-local);inline-size:var(--cds-layout-size-height-local);justify-content:center;padding:0;padding-block-start:0}.cds--btn--icon-only>:first-child{min-inline-size:1rem}.cds--btn--icon-only .cds--btn__icon{position:static}.cds--btn--icon-only.cds--btn--danger--ghost .cds--btn__icon,.cds--btn--icon-only.cds--btn--ghost .cds--btn__icon{margin:0}.cds--btn--icon-only.cds--btn--danger--ghost{padding-inline-end:calc(var(--cds-layout-density-padding-inline-local) - 1rem)}.cds--btn--xs:not(.cds--btn--icon-only){padding-block-start:1.5px}.cds--btn--md:not(.cds--btn--icon-only) .cds--btn__icon,.cds--btn--sm:not(.cds--btn--icon-only) .cds--btn__icon,.cds--btn--xs:not(.cds--btn--icon-only) .cds--btn__icon{margin-block-start:0}.cds--btn--icon-only.cds--btn--selected{background:var(--cds-background-selected,hsla(0,0%,55%,.2))}.cds--btn path[data-icon-path=inner-path]{fill:none}.cds--btn--ghost.cds--btn--icon-only .cds--btn__icon,.cds--btn--ghost.cds--btn--icon-only .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:var(--cds-icon-primary,#161616)}.cds--btn--ghost.cds--btn--icon-only[disabled] .cds--btn__icon,.cds--btn--ghost.cds--btn--icon-only[disabled] .cds--btn__icon path:not([data-icon-path]):not([fill=none]),.cds--btn.cds--btn--icon-only.cds--btn--ghost[disabled]:hover .cds--btn__icon{fill:var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn--ghost.cds--btn--icon-only[disabled],.cds--icon-tooltip--disabled .cds--tooltip-trigger__wrapper{cursor:not-allowed}.cds--icon-tooltip--disabled .cds--btn--icon-only[disabled]{pointer-events:none}.cds--btn--danger{background-color:var(--cds-button-danger-primary,#da1e28);border:1px solid 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path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary{background-color:transparent;border-color:var(--cds-button-danger-secondary,#da1e28);border-style:solid;border-width:1px;color:var(--cds-button-danger-secondary,#da1e28)}.cds--btn--danger--tertiary:hover{background-color:var(--cds-button-danger-hover,#b81921)}.cds--btn--danger--tertiary:focus{border-color:var(--cds-button-focus-color,var(--cds-focus,#0f62fe));box-shadow:inset 0 0 0 1px var(--cds-button-focus-color,var(--cds-focus,#0f62fe)),inset 0 0 0 2px var(--cds-background,#fff)}.cds--btn--danger--tertiary .cds--btn__icon,.cds--btn--danger--tertiary .cds--btn__icon path:not([data-icon-path]):not([fill=none]){fill:currentColor}.cds--btn--danger--tertiary:hover{border-color:var(--cds-button-danger-hover,#b81921);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary:focus{background-color:var(--cds-button-danger-primary,#da1e28);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary:active{background-color:var(--cds-button-danger-active,#750e13);border-color:var(--cds-button-danger-active,#750e13);color:var(--cds-text-on-color,#fff)}.cds--btn--danger--tertiary.cds--btn--disabled,.cds--btn--danger--tertiary.cds--btn--disabled:focus,.cds--btn--danger--tertiary.cds--btn--disabled:hover,.cds--btn--danger--tertiary:disabled,.cds--btn--danger--tertiary:focus:disabled,.cds--btn--danger--tertiary:hover:disabled{background:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--danger--ghost{background-color:transparent;border:1px solid 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.cds--btn__icon{margin-inline-start:.5rem;position:static}.cds--btn--danger--ghost:active,.cds--btn--danger--ghost:hover{color:var(--cds-text-on-color,#fff)}.cds--btn--danger--ghost.cds--btn--disabled,.cds--btn--danger--ghost.cds--btn--disabled:focus,.cds--btn--danger--ghost.cds--btn--disabled:hover,.cds--btn--danger--ghost:disabled,.cds--btn--danger--ghost:focus:disabled,.cds--btn--danger--ghost:hover:disabled{background:transparent;border-color:transparent;color:var(--cds-text-disabled,hsla(0,0%,9%,.25));outline:none}.cds--btn--expressive{font-size:var(--cds-body-compact-02-font-size,1rem);font-weight:var(--cds-body-compact-02-font-weight,400);letter-spacing:var(--cds-body-compact-02-letter-spacing,0);line-height:var(--cds-body-compact-02-line-height,1.375);padding-block:min((var(--cds-layout-size-height-local) - var(--temp-expressive-1lh))/2 - .0625rem,var(--temp-padding-block-max))}.cds--btn--icon-only.cds--btn--expressive{padding:12px 13px}.cds--btn.cds--btn--expressive .cds--btn__icon{block-size:1.25rem;inline-size:1.25rem}.cds--btn-set .cds--btn.cds--btn--expressive{max-inline-size:20rem}.cds--btn.cds--skeleton{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--btn.cds--skeleton:active,.cds--btn.cds--skeleton:focus,.cds--btn.cds--skeleton:hover{border:none;cursor:default;outline:none}.cds--btn.cds--skeleton:before{animation:cds--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds--btn.cds--skeleton:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn.cds--skeleton{background:CanvasText}.cds--btn.cds--skeleton:before{background:Canvas;forced-color-adjust:none}}.cds--btn.cds--skeleton{inline-size:9.375rem}.cds--btn-set{display:flex}.cds--btn-set--stacked{flex-direction:column}.cds--btn-set .cds--btn{inline-size:100%;max-inline-size:12.25rem}.cds--btn-set .cds--btn:not(:focus){box-shadow:-.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set .cds--btn:first-of-type:not(:focus),.cds--btn-set .cds--btn:focus+.cds--btn{box-shadow:inherit}.cds--btn-set--stacked .cds--btn:not(:focus){box-shadow:0 -.0625rem 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--stacked .cds--btn:first-of-type:not(:focus){box-shadow:inherit}.cds--btn-set .cds--btn.cds--btn--disabled{box-shadow:-.0625rem 0 0 0 var(--cds-icon-on-color-disabled,#8d8d8d)}.cds--btn-set .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set--stacked .cds--btn.cds--btn--disabled{box-shadow:0 -.0625rem 0 0 var(--cds-layer-selected-disabled,#8d8d8d)}.cds--btn-set--stacked .cds--btn.cds--btn--disabled:first-of-type{box-shadow:none}.cds--btn-set .cds--btn.cds--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds--btn--sm .cds--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds--btn-set .cds--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds--btn-set--fluid{container-type:inline-size}.cds--btn-set--fluid .cds--btn-set__fluid-inner{--flex-direction:row;align-items:stretch;display:flex;flex-direction:var(--flex-direction);inline-size:100%;justify-content:flex-end}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn{flex:0 1 25%;max-inline-size:14.5rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack .cds--btn{min-inline-size:11rem}.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--danger--ghost,.cds--btn-set--fluid .cds--btn-set__fluid-inner .cds--btn--ghost{flex:1 1 25%;max-inline-size:none;padding-inline-start:2rem}@container (width <= 11rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:first-child:last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 22rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(2):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 33rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(3):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child){--flex-direction:column}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn{flex:initial;inline-size:100%;max-inline-size:none}.cds--btn-set--fluid .cds--btn-set__fluid-inner--auto-stack:has(:nth-child(4):last-child) .cds--btn--ghost{padding-inline-start:1rem}}@container (width <= 44rem){.cds--btn-set--fluid 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span,.cds--data-table.cds--skeleton th span{block-size:1rem;display:block;inline-size:4rem}.cds--data-table.cds--skeleton tr:hover td{background:transparent;border-color:var(--cds-border-subtle)}.cds--data-table.cds--skeleton tr:hover td:first-of-type,.cds--data-table.cds--skeleton tr:hover td:last-of-type{border-color:var(--cds-border-subtle)}.cds--data-table.cds--skeleton .cds--table-sort{pointer-events:none}.cds--data-table.cds--skeleton th span{background:var(--cds-skeleton-element,#c6c6c6)}.cds--data-table.cds--skeleton th span:before{background:var(--cds-skeleton-background,#e8e8e8)}.cds--data-table-container.cds--skeleton .cds--data-table-header__title{background:var(--cds-skeleton-background,#e8e8e8);border:none;box-shadow:none;padding:0;pointer-events:none;position:relative}.cds--data-table-container.cds--skeleton .cds--data-table-header__title:active,.cds--data-table-container.cds--skeleton .cds--data-table-header__title:focus,.cds--data-table-container.cds--skeleton 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.cds--table-expand{border-block-end:1px solid var(--cds-border-subtle);display:table-cell;padding-inline-end:0;transition:transform .15s cubic-bezier(.2,0,.38,.9)}:host(cds-table-row[expandable][expanded]) .cds--table-expand__svg,:host(cds-table-row[selection-name][expanded]) .cds--table-expand__svg{transform:rotate(270deg)}:host(cds-table-row[expandable][expanded]) .cds--table-expand,:host(cds-table-row[expandable][expanded][highlighted]) .cds--table-expand,:host(cds-table-row[selection-name][expandable][expanded]) .cds--table-expand,:host(cds-table-row[selection-name][expandable][expanded]:hover) .cds--table-expand,:host(cds-table-row[selection-name][expandable][expanded][highlighted]) :host(cds-table-row[expandable][expanded]:hover) .cds--table-expand{border-block-end-color:transparent}:host(cds-table-row[expandable][expanded][selected]) .cds--table-column-checkbox,:host(cds-table-row[expandable][expanded][selected]) .cds--table-expand,:host(cds-table-row[expandable][expanded][selected]) ::slotted(cds-table-cell),:host(cds-table-row[selection-name][expandable][expanded][selected]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][expanded][selected]) .cds--table-expand,:host(cds-table-row[selection-name][expandable][expanded][selected]) ::slotted(cds-table-cell){background-color:var(--cds-layer-selected);border-block-end-color:var(--cds-border-subtle);border-block-start-color:var(--cds-layer-active)}:host(cds-table-row[expandable][expanded][selected]:hover) .cds--table-column-checkbox,:host(cds-table-row[expandable][expanded][selected]:hover) .cds--table-expand,:host(cds-table-row[expandable][expanded][selected]:hover) ::slotted(cds-table-cell),:host(cds-table-row[expandable][expanded][selected][highlighted]) .cds--table-column-checkbox,:host(cds-table-row[expandable][expanded][selected][highlighted]) .cds--table-expand,:host(cds-table-row[expandable][expanded][selected][highlighted]) ::slotted(cds-table-cell),:host(cds-table-row[selection-name][expandable][expanded][selected]:hover) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][expanded][selected]:hover) .cds--table-expand,:host(cds-table-row[selection-name][expandable][expanded][selected]:hover) ::slotted(cds-table-cell),:host(cds-table-row[selection-name][expandable][expanded][selected][highlighted]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][expanded][selected][highlighted]) .cds--table-expand,:host(cds-table-row[selection-name][expandable][expanded][selected][highlighted]) ::slotted(cds-table-cell){background-color:var(--cds-layer-selected-hover)}:host(cds-table-row[expandable][selected]) .cds--table-column-checkbox,:host(cds-table-row[expandable][selected]) .cds--table-expand,:host(cds-table-row[expandable][selected]) ::slotted(cds-table-cell),:host(cds-table-row[selection-name][expandable][selected]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][selected]) .cds--table-expand,:host(cds-table-row[selection-name][expandable][selected]) ::slotted(cds-table-cell){border-block-end-color:var(--cds-border-subtle)}:host(cds-table-row[expandable]:hover):not([ai-label]) .cds--table-column-checkbox,:host(cds-table-row[expandable]:hover):not([ai-label]) .cds--table-expand,:host(cds-table-row[expandable]:hover):not([ai-label]) ::slotted(cds-table-cell),:host(cds-table-row[expandable][highlighted]):not([ai-label]) .cds--table-column-checkbox,:host(cds-table-row[expandable][highlighted]):not([ai-label]) .cds--table-expand,:host(cds-table-row[expandable][highlighted]):not([ai-label]) ::slotted(cds-table-cell),:host(cds-table-row[selection-name][expandable]:hover):not([ai-label]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable]:hover):not([ai-label]) .cds--table-expand,:host(cds-table-row[selection-name][expandable]:hover):not([ai-label]) ::slotted(cds-table-cell),:host(cds-table-row[selection-name][expandable][highlighted]):not([ai-label]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][highlighted]):not([ai-label]) .cds--table-expand,:host(cds-table-row[selection-name][expandable][highlighted]):not([ai-label]) ::slotted(cds-table-cell){border-block-end-color:var(--cds-border-subtle)}:host(cds-table-row[odd]) .cds--table-column-checkbox,:host(cds-table-row[odd]) .cds--table-expand,:host(cds-table-row[odd]) ::slotted(cds-table-cell),:host(cds-table-row[odd]) ::slotted(cds-table-cell-skeleton){border-block-end:1px solid var(--cds-layer)}:host(cds-table-row[even]) .cds--table-column-checkbox,:host(cds-table-row[even]) .cds--table-expand,:host(cds-table-row[even]) ::slotted(cds-table-cell),:host(cds-table-row[even]) ::slotted(cds-table-cell-skeleton){background-color:var(--cds-layer-accent);border-block-end:1px solid var(--cds-layer-accent)}:host(cds-table-expand-row:hover) .cds--table-column-checkbox,:host(cds-table-expand-row:hover) .cds--table-expand,:host(cds-table-expand-row:hover) ::slotted(cds-table-cell),:host(cds-table-expand-row:hover) ::slotted(cds-table-cell-skeleton),:host(cds-table-row:hover) .cds--table-column-checkbox,:host(cds-table-row:hover) .cds--table-expand,:host(cds-table-row:hover) ::slotted(cds-table-cell),:host(cds-table-row:hover) ::slotted(cds-table-cell-skeleton),:host(cds-table-row[highlighted]) .cds--table-column-checkbox,:host(cds-table-row[highlighted]) .cds--table-expand,:host(cds-table-row[highlighted]) ::slotted(cds-table-cell),:host(cds-table-row[highlighted]) ::slotted(cds-table-cell-skeleton){background-color:var(--cds-background-hover,hsla(0,0%,55%,.12));border-block-end-color:var(--cds-layer-hover);border-block-start-color:var(--cds-layer-hover);color:var(--cds-text-primary,#161616)}:host(cds-table-row[even]:hover) .cds--table-column-checkbox,:host(cds-table-row[even]:hover) .cds--table-expand,:host(cds-table-row[even]:hover) ::slotted(cds-table-cell),:host(cds-table-row[even]:hover) ::slotted(cds-table-cell-skeleton),:host(cds-table-row[highlighted]) .cds--table-column-checkbox,:host(cds-table-row[highlighted]) .cds--table-expand,:host(cds-table-row[highlighted]) ::slotted(cds-table-cell),:host(cds-table-row[highlighted]) ::slotted(cds-table-cell-skeleton),:host(cds-table-row[odd]:hover) .cds--table-column-checkbox,:host(cds-table-row[odd]:hover) .cds--table-expand,:host(cds-table-row[odd]:hover) ::slotted(cds-table-cell),:host(cds-table-row[odd]:hover) ::slotted(cds-table-cell-skeleton){background-color:var(--cds-background-hover,hsla(0,0%,55%,.12));border-block-end:1px solid var(--cds-layer-hover)}:host(cds-table-row[rows-with-ai-label]) cds-checkbox,:host(cds-table-row[rows-with-ai-label]) cds-radio-button{padding-inline-start:2rem}:host(cds-table-row[rows-with-ai-label]) .cds--table-expand{padding-inline-start:1rem}:host(cds-table-row[rows-with-ai-label]) .cds--table-expand__button{margin-inline-start:1.5rem}:host(cds-table-row[rows-with-ai-label][ai-label]) cds-checkbox,:host(cds-table-row[rows-with-ai-label][ai-label]) cds-radio-button{padding-inline-start:1rem}:host(cds-table-row[rows-with-ai-label][ai-label]) .cds--table-expand__button{margin-inline-start:.5rem}:host(cds-table-header-row[rows-with-ai-label]) .cds--table-expand{padding-inline-start:2.5rem}:host(cds-table-header-row[rows-with-ai-label]) .cds--table-column-checkbox{padding-inline-start:3rem}:host(cds-table-header-row[rows-with-ai-label][selection-name][expandable]) .cds--table-column-checkbox,:host(cds-table-row[rows-with-ai-label][selection-name][expandable]) .cds--table-column-checkbox{padding-inline-start:0}:host(cds-table-header-row[rows-with-ai-label][selection-name][expandable]) cds-checkbox,:host(cds-table-row[rows-with-ai-label][selection-name][expandable]) cds-checkbox{padding-inline-start:.5rem}:host(cds-table-row[ai-label]){background:linear-gradient(to right,var(--cds-ai-aura-start-sm,rgba(69,137,255,.16)) 0,var(--cds-ai-aura-end,hsla(0,0%,100%,0)) 50%,transparent 50%);background-attachment:fixed;box-shadow:inset 1px 0 var(--cds-ai-border-strong,#4589ff)}:host(cds-table-row[ai-label]):hover{background:linear-gradient(to right,var(--cds-ai-aura-hover-start,rgba(69,137,255,.32)) 0,15%,var(--cds-ai-aura-hover-end,hsla(0,0%,100%,0)) 50%),var(--cds-ai-aura-hover-background,#edf5ff);background-attachment:fixed}:host(cds-table-header-title){display:block}:host(cds-table-header-description){display:block}@media (min-width:42rem){:host(cds-table-header-description){max-inline-size:50ch}}@media (min-width:66rem){:host(cds-table-header-description){max-inline-size:80ch}}:host(cds-table-expanded-row){block-size:0;display:table-row;transition:height .15s cubic-bezier(.2,0,.38,.9)}:host(cds-table-expanded-row) ::slotted(*){color:var(--cds-text-secondary,#525252)}@media screen and (prefers-reduced-motion:reduce){:host(cds-table-expanded-row) td{border-block-end-color:var(--cds-border-subtle);padding:0;padding-inline-start:4rem;transition:none;vertical-align:middle}:host(cds-table-expanded-row) td .cds--child-row-inner-container{block-size:0;overflow:hidden}}:host(cds-table-expanded-row) td{border-block-end-color:var(--cds-border-subtle);padding:0;padding-inline-start:4rem;transition:all .11s cubic-bezier(.2,0,.38,.9);vertical-align:middle}:host(cds-table-expanded-row) td .cds--child-row-inner-container{block-size:0;overflow:hidden}:host(cds-table-expanded-row[expanded]){block-size:3rem}:host(cds-table-expanded-row[expanded]) td{block-size:auto;border-block-end:1px solid var(--cds-border-subtle)}:host(cds-table-expanded-row[expanded]) td .cds--child-row-inner-container{block-size:auto}:host(cds-table-expanded-row:hover),:host(cds-table-expanded-row[highlighted]),:host(cds-table-expanded-row[selected]){background-color:var(--cds-background-hover,hsla(0,0%,55%,.12))}:host(cds-table-expanded-row:hover) ::slotted(*),:host(cds-table-expanded-row[highlighted]) ::slotted(*),:host(cds-table-expanded-row[selected]) ::slotted(*){color:var(--cds-text-primary,#161616)}:host(cds-table-expanded-row[selected][highlighted]){background-color:var(--cds-layer-selected)}:host(cds-table-row[ai-label][expandable]):hover,:host(cds-table-row[ai-label][expandable])[highlighted],:host(cds-table-row[ai-label][expandable][selection-name][selected]):hover,:host(cds-table-row[ai-label][expandable][selection-name][selected])[highlighted]{background:linear-gradient(to right,var(--cds-ai-aura-hover-start,rgba(69,137,255,.32)) 0,15%,var(--cds-ai-aura-hover-end,hsla(0,0%,100%,0)) 50%),var(--cds-ai-aura-hover-background,#edf5ff);background-attachment:fixed}:host(cds-table-row[ai-label][expandable]):hover .cds--table-column-checkbox,:host(cds-table-row[ai-label][expandable]):hover .cds--table-expand,:host(cds-table-row[ai-label][expandable]):hover ::slotted(cds-table-cell),:host(cds-table-row[ai-label][expandable]):hover ::slotted(cds-table-cell-skeleton),:host(cds-table-row[ai-label][expandable])[highlighted] .cds--table-column-checkbox,:host(cds-table-row[ai-label][expandable])[highlighted] .cds--table-expand,:host(cds-table-row[ai-label][expandable])[highlighted] ::slotted(cds-table-cell),:host(cds-table-row[ai-label][expandable])[highlighted] ::slotted(cds-table-cell-skeleton),:host(cds-table-row[ai-label][expandable][selection-name][selected]):hover .cds--table-column-checkbox,:host(cds-table-row[ai-label][expandable][selection-name][selected]):hover .cds--table-expand,:host(cds-table-row[ai-label][expandable][selection-name][selected]):hover ::slotted(cds-table-cell),:host(cds-table-row[ai-label][expandable][selection-name][selected]):hover ::slotted(cds-table-cell-skeleton),:host(cds-table-row[ai-label][expandable][selection-name][selected])[highlighted] .cds--table-column-checkbox,:host(cds-table-row[ai-label][expandable][selection-name][selected])[highlighted] .cds--table-expand,:host(cds-table-row[ai-label][expandable][selection-name][selected])[highlighted] ::slotted(cds-table-cell),:host(cds-table-row[ai-label][expandable][selection-name][selected])[highlighted] ::slotted(cds-table-cell-skeleton){background:none}:host(cds-table-row[ai-label][expandable]):hover[expanded] .cds--table-expand,:host(cds-table-row[ai-label][expandable])[highlighted][expanded] .cds--table-expand,:host(cds-table-row[ai-label][expandable][selection-name][selected]):hover[expanded] .cds--table-expand,:host(cds-table-row[ai-label][expandable][selection-name][selected])[highlighted][expanded] .cds--table-expand{border-block-end-color:transparent}:host(cds-table-row[ai-label][expandable]) .cds--table-column-checkbox,:host(cds-table-row[ai-label][expandable]) .cds--table-expand,:host(cds-table-row[ai-label][expandable]) ::slotted(cds-table-cell),:host(cds-table-row[ai-label][expandable]) ::slotted(cds-table-cell-skeleton),:host(cds-table-row[ai-label][expandable][selection-name][selected]) .cds--table-column-checkbox,:host(cds-table-row[ai-label][expandable][selection-name][selected]) .cds--table-expand,:host(cds-table-row[ai-label][expandable][selection-name][selected]) ::slotted(cds-table-cell),:host(cds-table-row[ai-label][expandable][selection-name][selected]) ::slotted(cds-table-cell-skeleton){background:none}:host(cds-table-row[ai-label][expandable])[expanded] .cds--table-expand,:host(cds-table-row[ai-label][expandable][selection-name][selected])[expanded] .cds--table-expand{border-block-end-color:transparent}:host(cds-table-expanded-row[ai-label]){background:linear-gradient(to right,var(--cds-ai-aura-start-sm,rgba(69,137,255,.16)) 0,var(--cds-ai-aura-end,hsla(0,0%,100%,0)) 50%,transparent 50%)}:host(cds-table-expanded-row[ai-label])[highlighted]{background:linear-gradient(to right,var(--cds-ai-aura-hover-start,rgba(69,137,255,.32)) 0,15%,var(--cds-ai-aura-hover-end,hsla(0,0%,100%,0)) 50%),var(--cds-ai-aura-hover-background,#edf5ff)}:host(cds-table-expanded-row[rows-with-ai-label]) td{padding-inline-start:to-rem(88px)}:host(cds-table-row) .cds--table-expand{block-size:100%;border-block-end:1px solid var(--cds-border-subtle);display:table-cell;vertical-align:middle}:host(cds-table-row) .cds--table-expand>div{align-items:center;block-size:100%;display:flex}:host(cds-table-row):hover .cds--table-expand,:host(cds-table-row)[highlighted] .cds--table-expand{background-color:var(--cds-background-hover,hsla(0,0%,55%,.12));border-block-end-color:var(--cds-layer-hover);border-block-start-color:var(--cds-layer-hover)}:host(cds-table-row)[even] .cds--table-expand{background-color:var(--cds-layer-accent);border-block-end:1px solid var(--cds-layer-accent)}:host(cds-table-row)[even] .cds--table-expand:hover{background-color:var(--cds-background-hover,hsla(0,0%,55%,.12));border-block-end:1px solid var(--cds-layer-hover)}:host(cds-table-row)[odd] .cds--table-expand{border-block-end:1px solid var(--cds-layer)}:host(cds-table-row)[odd] .cds--table-expand:hover{background-color:var(--cds-background-hover,hsla(0,0%,55%,.12));border-block-end:1px solid var(--cds-layer-hover)}:host(cds-table-body) ::slotted(cds-table-row[size=xs]),:host(cds-table-head) ::slotted(cds-table-header-row[size=xs]){block-size:1.5rem}:host(cds-table-header-row[size=xs]) ::slotted(cds-table-header-cell),:host(cds-table-row[size=xs]) ::slotted(cds-table-header-cell){block-size:1.5rem}:host(cds-table-header-row[size=xs]) ::slotted(cds-table-cell),:host(cds-table-row[size=xs]) ::slotted(cds-table-cell){padding-block:.125rem;padding-inline-start:1rem}:host(cds-table-header-row[size=xs]) .cds--table-expand,:host(cds-table-row[size=xs]) .cds--table-expand{block-size:1.5rem;padding-block:0}:host(cds-table-body) ::slotted(cds-table-row[size=sm]),:host(cds-table-head) ::slotted(cds-table-header-row[size=sm]){block-size:2rem}:host(cds-table-header-row[size=sm]) ::slotted(cds-table-header-cell),:host(cds-table-row[size=sm]) ::slotted(cds-table-header-cell){block-size:2rem}:host(cds-table-header-row[size=sm]) ::slotted(cds-table-cell),:host(cds-table-row[size=sm]) ::slotted(cds-table-cell){padding-block:.4375rem .375rem;padding-inline-start:1rem}:host(cds-table-header-row[size=sm]) .cds--table-expand,:host(cds-table-row[size=sm]) .cds--table-expand{padding-block:0}:host(cds-table-header-row[size=sm]) ::slotted(cds-overflow-menu),:host(cds-table-row[size=sm]) ::slotted(cds-overflow-menu){block-size:2rem}:host(cds-table-body) ::slotted(cds-table-row[size=md]),:host(cds-table-head) ::slotted(cds-table-header-row[size=md]){block-size:2.5rem}:host(cds-table-header-row[size=md]) ::slotted(cds-table-header-cell),:host(cds-table-row[size=md]) ::slotted(cds-table-header-cell){block-size:2.5rem}:host(cds-table-header-row[size=md]) ::slotted(cds-table-cell),:host(cds-table-row[size=md]) ::slotted(cds-table-cell){padding-block:.4375rem .375rem;padding-inline-start:1rem}:host(cds-table-header-row[size=md]) .cds--table-expand,:host(cds-table-row[size=md]) .cds--table-expand{padding-block:.25rem}:host(cds-table-header-row[size=md]) ::slotted(cds-overflow-menu),:host(cds-table-row[size=md]) ::slotted(cds-overflow-menu){block-size:2.5rem}:host(cds-table-body) ::slotted(cds-table-row[size=lg]),:host(cds-table-head) ::slotted(cds-table-header-row[size=lg]){block-size:3rem}:host(cds-table-body) ::slotted(cds-table-row[size=xl]),:host(cds-table-head) ::slotted(cds-table-header-row[size=xl]){block-size:4rem}:host(cds-table-header-row[size=xl]) ::slotted(cds-table-header-cell){padding-block-start:1rem;vertical-align:top}:host(cds-table-header-row[size=xl]) ::slotted(cds-table-cell),:host(cds-table-row[size=xl]) ::slotted(cds-table-cell){padding-block-start:1rem}:host(cds-table-header-row[size=xl]) .cds--table-expand,:host(cds-table-row[size=xl]) .cds--table-expand{padding-block-end:1.375rem}:host(cds-table-header-row[size=xl]) .cds--table-column-checkbox,:host(cds-table-header-row[size=xl]) .cds--table-expand,:host(cds-table-row[size=xl]) .cds--table-column-checkbox,:host(cds-table-row[size=xl]) .cds--table-expand{padding-block-start:.625rem;vertical-align:top}:host(cds-table-header-row[size=xl])[radio] .cds--table-column-checkbox,:host(cds-table-row[size=xl])[radio] .cds--table-column-checkbox{padding-block-start:1rem}:host(cds-table-expanded-row[size=xl][expanded]) td{padding-block:1rem .5rem;padding-inline-end:1rem}:host(cds-table-toolbar-content[size=xs]),:host(cds-table-toolbar-content[size=xs]) ::slotted(cds-button),:host(cds-table-toolbar-content[size=xs]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar-content[size=xs]) ::slotted(cds-table-toolbar-search),:host(cds-table-toolbar[size=xs]),:host(cds-table-toolbar[size=xs]) ::slotted(cds-button),:host(cds-table-toolbar[size=xs]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar[size=xs]) ::slotted(cds-table-toolbar-search){block-size:2rem;min-block-size:2rem}:host(cds-table-toolbar-content[size=xs]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar-content[size=xs]) ::slotted(cds-table-toolbar-search),:host(cds-table-toolbar[size=xs]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar[size=xs]) ::slotted(cds-table-toolbar-search){inline-size:2rem}:host(cds-table-toolbar-content[size=sm]),:host(cds-table-toolbar-content[size=sm]) ::slotted(cds-button),:host(cds-table-toolbar-content[size=sm]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar-content[size=sm]) ::slotted(cds-table-toolbar-search),:host(cds-table-toolbar[size=sm]),:host(cds-table-toolbar[size=sm]) ::slotted(cds-button),:host(cds-table-toolbar[size=sm]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar[size=sm]) ::slotted(cds-table-toolbar-search){block-size:2rem;min-block-size:2rem}:host(cds-table-toolbar-content[size=sm]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar-content[size=sm]) ::slotted(cds-table-toolbar-search),:host(cds-table-toolbar[size=sm]) ::slotted(cds-overflow-menu),:host(cds-table-toolbar[size=sm]) ::slotted(cds-table-toolbar-search){inline-size:2rem}:host(cds-table-header-row[selection-name][expandable][size=xs]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][size=xs]) .cds--table-column-checkbox{padding:0 .375rem}:host(cds-table-header-row[selection-name][expandable][size=md]) .cds--table-column-checkbox,:host(cds-table-header-row[selection-name][expandable][size=sm]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][size=md]) .cds--table-column-checkbox,:host(cds-table-row[selection-name][expandable][size=sm]) .cds--table-column-checkbox{padding:.1875rem .375rem}:host(cds-table-header-row[selection-name][expandable][size=xl]) .cds--table-column-checkbox{padding-inline:.375rem}:host(cds-table-cell[size=sm]) ::slotted(cds-overflow-menu),:host(cds-table-cell[size=xs]) 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r=(0,o(9431).AH)(['.cds--layer-one,:root{--cds-layer:var(--cds-layer-01,#f4f4f4);--cds-layer-active:var(--cds-layer-active-01,#c6c6c6);--cds-layer-background:var(--cds-layer-background-01,#fff);--cds-layer-hover:var(--cds-layer-hover-01,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-01,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-01,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-01,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-01,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-01,#a8a8a8);--cds-field:var(--cds-field-01,#f4f4f4);--cds-field-hover:var(--cds-field-hover-01,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-00,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-01,#c6c6c6);--cds-border-strong:var(--cds-border-strong-01,#8d8d8d);--cds-border-tile:var(--cds-border-tile-01,#c6c6c6)}.cds--layer-two{--cds-layer:var(--cds-layer-02,#fff);--cds-layer-active:var(--cds-layer-active-02,#c6c6c6);--cds-layer-background:var(--cds-layer-background-02,#f4f4f4);--cds-layer-hover:var(--cds-layer-hover-02,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-02,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-02,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-02,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-02,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-02,#a8a8a8);--cds-field:var(--cds-field-02,#fff);--cds-field-hover:var(--cds-field-hover-02,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-01,#c6c6c6);--cds-border-subtle-selected:var(--cds-border-subtle-selected-02,#c6c6c6);--cds-border-strong:var(--cds-border-strong-02,#8d8d8d);--cds-border-tile:var(--cds-border-tile-02,#a8a8a8)}.cds--layer-three{--cds-layer:var(--cds-layer-03,#f4f4f4);--cds-layer-active:var(--cds-layer-active-03,#c6c6c6);--cds-layer-background:var(--cds-layer-background-03,#fff);--cds-layer-hover:var(--cds-layer-hover-03,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-03,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-03,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-03,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-03,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-03,#a8a8a8);--cds-field:var(--cds-field-03,#f4f4f4);--cds-field-hover:var(--cds-field-hover-03,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-02,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-03,#c6c6c6);--cds-border-strong:var(--cds-border-strong-03,#8d8d8d);--cds-border-tile:var(--cds-border-tile-03,#c6c6c6)}.cds--layer-one.cds--layer__with-background,.cds--layer-three.cds--layer__with-background,.cds--layer-two.cds--layer__with-background{background-color:var(--cds-layer-background)}@keyframes 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MacroName LineComment BlockComment PreprocDirective #include String EscapeSequence SystemLibString Identifier ) ( ArgumentList ConditionalExpression AssignmentExpression CallExpression PrimitiveType FieldExpression FieldIdentifier DestructorName TemplateMethod ScopedFieldIdentifier NamespaceIdentifier TemplateType TypeIdentifier ScopedTypeIdentifier ScopedNamespaceIdentifier :: NamespaceIdentifier TypeIdentifier TemplateArgumentList < TypeDescriptor const volatile restrict _Atomic mutable constexpr constinit consteval StructSpecifier struct MsDeclspecModifier __declspec Attribute AttributeName Identifier AttributeArgs { } [ ] UpdateOp ArithOp ArithOp ArithOp LogicOp BitOp BitOp BitOp CompareOp CompareOp CompareOp > CompareOp BitOp UpdateOp , Number CharLiteral AttributeArgs VirtualSpecifier BaseClassClause Access virtual FieldDeclarationList FieldDeclaration extern static register inline thread_local AttributeSpecifier __attribute__ PointerDeclarator MsBasedModifier __based MsPointerModifier FunctionDeclarator ParameterList ParameterDeclaration PointerDeclarator FunctionDeclarator Noexcept noexcept RequiresClause requires True False ParenthesizedExpression CommaExpression LambdaExpression LambdaCaptureSpecifier TemplateParameterList OptionalParameterDeclaration TypeParameterDeclaration typename class VariadicParameterDeclaration VariadicDeclarator ReferenceDeclarator OptionalTypeParameterDeclaration VariadicTypeParameterDeclaration TemplateTemplateParameterDeclaration template AbstractFunctionDeclarator AbstractPointerDeclarator AbstractArrayDeclarator AbstractParenthesizedDeclarator AbstractReferenceDeclarator ThrowSpecifier throw TrailingReturnType CompoundStatement FunctionDefinition MsCallModifier TryStatement try CatchClause catch LinkageSpecification Declaration InitDeclarator InitializerList InitializerPair SubscriptDesignator FieldDesignator ExportDeclaration export ImportDeclaration import ModuleName PartitionName HeaderName CaseStatement case default LabeledStatement StatementIdentifier ExpressionStatement IfStatement if ConditionClause Declaration else SwitchStatement switch DoStatement do while WhileStatement ForStatement for ReturnStatement return BreakStatement break ContinueStatement continue GotoStatement goto CoReturnStatement co_return CoYieldStatement co_yield AttributeStatement ForRangeLoop AliasDeclaration using TypeDefinition typedef PointerDeclarator FunctionDeclarator ArrayDeclarator ParenthesizedDeclarator ThrowStatement NamespaceDefinition namespace ScopedIdentifier Identifier OperatorName operator ArithOp BitOp CompareOp LogicOp new delete co_await ConceptDefinition concept UsingDeclaration enum StaticAssertDeclaration static_assert ConcatenatedString TemplateDeclaration FriendDeclaration friend union FunctionDefinition ExplicitFunctionSpecifier explicit FieldInitializerList FieldInitializer DefaultMethodClause DeleteMethodClause FunctionDefinition OperatorCast operator TemplateInstantiation FunctionDefinition FunctionDefinition Declaration ModuleDeclaration module RequiresExpression RequirementList SimpleRequirement TypeRequirement CompoundRequirement ReturnTypeRequirement ConstraintConjuction LogicOp ConstraintDisjunction LogicOp ArrayDeclarator ParenthesizedDeclarator ReferenceDeclarator TemplateFunction OperatorName StructuredBindingDeclarator ArrayDeclarator ParenthesizedDeclarator ReferenceDeclarator BitfieldClause FunctionDefinition FunctionDefinition Declaration FunctionDefinition Declaration AccessSpecifier UnionSpecifier ClassSpecifier EnumSpecifier SizedTypeSpecifier TypeSize EnumeratorList Enumerator DependentType Decltype decltype auto PlaceholderTypeSpecifier ParameterPackExpansion ParameterPackExpansion FieldIdentifier PointerExpression SubscriptExpression BinaryExpression ArithOp LogicOp LogicOp BitOp UnaryExpression LogicOp BitOp UpdateExpression CastExpression SizeofExpression sizeof CoAwaitExpression CompoundLiteralExpression NULL NewExpression new NewDeclarator DeleteExpression delete ParameterPackExpansion nullptr this UserDefinedLiteral ParamPack #define PreprocArg #if #ifdef #ifndef #else #endif #elif PreprocDirectiveName Macro 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LineComment BlockComment SourceFile PackageClause package DefName ; ImportDecl import ImportSpec . String ) ( SpecList ExprStatement Number Bool Nil Rune VariableName TypedLiteral StructType struct } { StructBody FieldDecl FieldName , PointerType * FunctionType func Parameters Parameter ... InterfaceType interface InterfaceBody MethodElem UnderlyingType ~ TypeElem LogicOp ChannelType chan <- ParenthesizedType QualifiedType TypeName ParameterizedType ] [ TypeArgs ArrayType SliceType MapType map LiteralValue Element Key : Element Key ParenthesizedExpr FunctionLiteral Block Conversion SelectorExpr IndexExpr SliceExpr TypeAssertion CallExpr ParameterizedExpr Arguments CallExpr make new Arguments UnaryExp ArithOp LogicOp BitOp DerefOp BinaryExp ArithOp BitOp BitOp CompareOp LogicOp LogicOp SendStatement IncDecStatement IncDecOp Assignment = UpdateOp VarDecl := ConstDecl const ConstSpec SpecList TypeDecl type TypeSpec TypeParams TypeParam SpecList VarDecl var VarSpec SpecList LabeledStatement LabelName IfStatement if else SwitchStatement switch SwitchBlock Case case default TypeSwitchStatement SwitchBlock Case ForStatement for ForClause RangeClause range GoStatement go SelectStatement select SelectBlock Case ReceiveStatement ReturnStatement return GotoStatement break continue goto FallthroughStatement fallthrough DeferStatement defer FunctionDecl 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[ MetaItem self Metavariable super crate Identifier ScopedIdentifier :: QualifiedScope AbstractType impl SelfType MetaType TypeIdentifier ScopedTypeIdentifier ScopeIdentifier TypeArgList TypeBinding = Lifetime String Escape Char Boolean Integer } { Block ; ConstItem Vis pub ( in ) const BoundIdentifier : UnsafeBlock unsafe AsyncBlock async move IfExpression if LetDeclaration let LiteralPattern ArithOp MetaPattern SelfPattern ScopedIdentifier TuplePattern ScopedTypeIdentifier , StructPattern FieldPatternList FieldPattern ref mut FieldIdentifier .. RefPattern SlicePattern CapturedPattern ReferencePattern & MutPattern RangePattern ... OrPattern MacroPattern ParenthesizedTokens TokenBinding Identifier TokenRepetition ArithOp BitOp LogicOp UpdateOp CompareOp -> => ArithOp BracketedTokens BracedTokens _ else MatchExpression match MatchBlock MatchArm Attribute Guard UnaryExpression ArithOp DerefOp LogicOp ReferenceExpression TryExpression BinaryExpression ArithOp ArithOp BitOp BitOp BitOp BitOp LogicOp LogicOp AssignmentExpression TypeCastExpression as ReturnExpression return RangeExpression CallExpression ArgList AwaitExpression await FieldExpression GenericFunction BreakExpression break LoopLabel ContinueExpression continue IndexExpression ArrayExpression TupleExpression MacroInvocation UnitExpression ClosureExpression ParamList Parameter Parameter ParenthesizedExpression StructExpression FieldInitializerList ShorthandFieldInitializer FieldInitializer BaseFieldInitializer MatchArm WhileExpression while LoopExpression loop ForExpression for MacroInvocation MacroDefinition macro_rules MacroRule EmptyStatement ModItem mod DeclarationList AttributeItem ForeignModItem extern StructItem struct TypeParamList ConstrainedTypeParameter TraitBounds HigherRankedTraitBound RemovedTraitBound OptionalTypeParameter ConstParameter WhereClause where LifetimeClause TypeBoundClause FieldDeclarationList FieldDeclaration OrderedFieldDeclarationList UnionItem union EnumItem enum EnumVariantList EnumVariant TypeItem type FunctionItem default fn ParamList Parameter SelfParameter VariadicParameter VariadicParameter ImplItem TraitItem trait AssociatedType LetDeclaration UseDeclaration use ScopedIdentifier UseAsClause ScopedIdentifier UseList ScopedUseList UseWildcard ExternCrateDeclaration StaticItem static ExpressionStatement ExpressionStatement GenericType FunctionType ForLifetimes ParamList VariadicParameter Parameter VariadicParameter Parameter ReferenceType PointerType TupleType UnitType ArrayType MacroInvocation EmptyType DynamicType dyn 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n=e.computeSlot(e,e.config.dynamicSlots[o]);return e.status[o]=2|n}function ce(e,t){return 1&t?e.config.staticValues[t>>1]:e.values[t>>1]}const de=Z.define(),le=Z.define({combine:e=>e.some(e=>e),static:!0}),pe=Z.define({combine:e=>e.length?e[0]:void 0,static:!0}),ue=Z.define(),he=Z.define(),fe=Z.define(),me=Z.define({combine:e=>!!e.length&&e[0]});class ve{constructor(e,t){this.type=e,this.value=t}static define(){return new ge}}class ge{of(e){return new ve(this,e)}}class be{constructor(e){this.map=e}of(e){return new Oe(this,e)}}class Oe{constructor(e,t){this.type=e,this.value=t}map(e){let t=this.type.map(this.value,e);return void 0===t?void 0:t==this.value?this:new Oe(this.type,t)}is(e){return this.type==e}static define(e={}){return new be(e.map||(e=>e))}static mapEffects(e,t){if(!e.length)return e;let o=[];for(let r of e){let e=r.map(t);e&&o.push(e)}return o}}Oe.reconfigure=Oe.define(),Oe.appendConfig=Oe.define();class ye{constructor(e,t,o,r,n,s){this.startState=e,this.changes=t,this.selection=o,this.effects=r,this.annotations=n,this.scrollIntoView=s,this._doc=null,this._state=null,o&&L(o,t.newLength),n.some(e=>e.type==ye.time)||(this.annotations=n.concat(ye.time.of(Date.now())))}static create(e,t,o,r,n,s){return new ye(e,t,o,r,n,s)}get newDoc(){return this._doc||(this._doc=this.changes.apply(this.startState.doc))}get newSelection(){return this.selection||this.startState.selection.map(this.changes)}get state(){return this._state||this.startState.applyTransaction(this),this._state}annotation(e){for(let t of this.annotations)if(t.type==e)return t.value}get docChanged(){return!this.changes.empty}get reconfigured(){return this.startState.config!=this.state.config}isUserEvent(e){let t=this.annotation(ye.userEvent);return!(!t||!(t==e||t.length>e.length&&t.slice(0,e.length)==e&&"."==t[e.length]))}}function ke(e,t){let o=[];for(let r=0,n=0;;){let s,a;if(r=e[r]))s=e[r++],a=e[r++];else{if(!(n=0;n--){let 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e[e.Word=0]="Word",e[e.Space=1]="Space",e[e.Other=2]="Other",e}(Qe||(Qe={}));const ze=/[\u00df\u0587\u0590-\u05f4\u0600-\u06ff\u3040-\u309f\u30a0-\u30ff\u3400-\u4db5\u4e00-\u9fcc\uac00-\ud7af]/;let Pe;try{Pe=new RegExp("[\\p{Alphabetic}\\p{Number}_]","u")}catch(e){}function Te(e){return t=>{if(!/\S/.test(t))return Qe.Space;if(function(e){if(Pe)return Pe.test(e);for(let t=0;t"€"&&(o.toUpperCase()!=o.toLowerCase()||ze.test(o)))return!0}return!1}(t))return Qe.Word;for(let o=0;o-1)return Qe.Word;return Qe.Other}}class Ee{constructor(e,t,o,r,n,s){this.config=e,this.doc=t,this.selection=o,this.values=r,this.status=e.statusTemplate.slice(),this.computeSlot=n,s&&(s._state=this);for(let e=0;en.set(t,e)),o=null),n.set(t.value.compartment,t.value.extension)):t.is(Oe.reconfigure)?(o=null,r=t.value):t.is(Oe.appendConfig)&&(o=null,r=Se(r).concat(t.value));if(o)t=e.startState.values.slice();else{o=ae.resolve(r,n,this),t=new 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Ye(e,null,n).goto(t),a=t,i=s.openStart;for(;;){let e=Math.min(s.to,o);if(s.point){let o=s.activeForPoint(s.to),n=s.pointFroma&&(r.span(a,e,s.active,i),i=s.openEnd(e));if(s.to>o)return i+(s.point&&s.to>o?1:0);a=s.to,s.next()}}static of(e,t=!1){let o=new Ne;for(let r of e instanceof Ae?[e]:t?function(e){if(e.length>1)for(let t=e[0],o=1;o0)return e.slice().sort(Xe);t=r}return e}(e):e)o.add(r.from,r.to,r.value);return o.finish()}static join(e){if(!e.length)return Ie.empty;let t=e[e.length-1];for(let o=e.length-2;o>=0;o--)for(let r=e[o];r!=Ie.empty;r=r.nextLayer)t=new Ie(r.chunkPos,r.chunk,t,Math.max(r.maxPoint,t.maxPoint));return t}}Ie.empty=new Ie([],[],null,-1),Ie.empty.nextLayer=Ie.empty;class Ne{finishChunk(e){this.chunks.push(new 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et=r.sj.define();function tt(e){let t=0,o=0,r=0,n=0;for(let s of e.state.facet(et)){let a=s(e);a&&(null!=a.left&&(t=Math.max(t,a.left)),null!=a.right&&(o=Math.max(o,a.right)),null!=a.top&&(r=Math.max(r,a.top)),null!=a.bottom&&(n=Math.max(n,a.bottom)))}return{left:t,right:o,top:r,bottom:n}}const ot=r.sj.define();class rt{constructor(e,t,o,r){this.fromA=e,this.toA=t,this.fromB=o,this.toB=r}join(e){return new rt(Math.min(this.fromA,e.fromA),Math.max(this.toA,e.toA),Math.min(this.fromB,e.fromB),Math.max(this.toB,e.toB))}addToSet(e){let t=e.length,o=this;for(;t>0;t--){let r=e[t-1];if(!(r.fromA>o.toA)){if(r.toAn.push(new rt(e,t,o,r))),this.changedRanges=n}static create(e,t,o){return new nt(e,t,o)}get viewportChanged(){return(4&this.flags)>0}get viewportMoved(){return(8&this.flags)>0}get heightChanged(){return(2&this.flags)>0}get geometryChanged(){return this.docChanged||(18&this.flags)>0}get focusChanged(){return(1&this.flags)>0}get docChanged(){return!this.changes.empty}get selectionSet(){return this.transactions.some(e=>e.selection)}get empty(){return 0==this.flags&&0==this.transactions.length}}const st=[];class at{constructor(e,t,o=0){this.dom=e,this.length=t,this.flags=o,this.parent=null,e.cmTile=this}get breakAfter(){return 1&this.flags}get children(){return st}isWidget(){return!1}get isHidden(){return!1}isComposite(){return!1}isLine(){return!1}isText(){return!1}isBlock(){return!1}get domAttrs(){return null}sync(e){if(this.flags|=2,4&this.flags){this.flags&=-5;let e=this.domAttrs;e&&function(e,t){for(let o=e.attributes.length-1;o>=0;o--){let r=e.attributes[o].name;null==t[r]&&e.removeAttribute(r)}for(let o in t){let r=t[o];"style"==o?e.style.cssText=r:e.getAttribute(o)!=r&&e.setAttribute(o,r)}}(this.dom,e)}}toString(){return this.constructor.name+(this.children.length?`(${this.children})`:"")+(this.breakAfter?"#":"")}destroy(){this.parent=null}setDOM(e){this.dom=e,e.cmTile=this}get posAtStart(){return this.parent?this.parent.posBefore(this):0}get posAtEnd(){return this.posAtStart+this.length}posBefore(e,t=this.posAtStart){let o=t;for(let t of this.children){if(t==e)return o;o+=t.length+t.breakAfter}throw new RangeError("Invalid child in posBefore")}posAfter(e){return this.posBefore(e)+e.length}covers(e){return!0}coordsIn(e,t){return null}domPosFor(e,t){let o=V(this.dom),r=this.length?e>0:t>0;return new ne(this.parent.dom,o+(r?1:0),0==e||e==this.length)}markDirty(e){this.flags&=-3,e&&(this.flags|=4),this.parent&&2&this.parent.flags&&this.parent.markDirty(!1)}get overrideDOMText(){return null}get root(){for(let e=this;e;e=e.parent)if(e instanceof dt)return e;return null}static get(e){return e.cmTile}}class it extends at{constructor(e){super(e,0),this._children=[]}isComposite(){return!0}get children(){return this._children}get lastChild(){return this.children.length?this.children[this.children.length-1]:null}append(e){this.children.push(e),e.parent=this}sync(e){if(2&this.flags)return;super.sync(e);let t,o=this.dom,r=null,n=(null==e?void 0:e.node)==o?e:null,s=0;for(let a of this.children){if(a.sync(e),s+=a.length+a.breakAfter,t=r?r.nextSibling:o.firstChild,n&&t!=a.dom&&(n.written=!0),a.dom.parentNode==o)for(;t&&t!=a.dom;)t=ct(t);else o.insertBefore(a.dom,t);r=a.dom}for(t=r?r.nextSibling:o.firstChild,n&&t&&(n.written=!0);t;)t=ct(t);this.length=s}}function ct(e){let t=e.nextSibling;return e.parentNode.removeChild(e),t}class dt extends it{constructor(e,t){super(t),this.view=e}owns(e){for(;e;e=e.parent)if(e==this)return!0;return!1}isBlock(){return!0}nearest(e){for(;;){if(!e)return null;let t=at.get(e);if(t&&this.owns(t))return t;e=e.parentNode}}blockTiles(e){for(let t=[],o=this,r=0,n=0;;)if(r==o.children.length){if(!t.length)return;o=o.parent,o.breakAfter&&n++,r=t.pop()}else{let s=o.children[r++];if(s instanceof lt)t.push(r),o=s,r=0;else{let t=n+s.length,o=e(s,n);if(void 0!==o)return o;n=t+s.breakAfter}}}resolveBlock(e,t){let o,r,n=-1,s=-1;if(this.blockTiles((a,i)=>{let c=i+a.length;if(e>=i&&e<=c){if(a.isWidget()&&t>=-1&&t<=1){if(32&a.flags)return!0;16&a.flags&&(o=void 0)}(ie||e==i&&(t>1?a.length:a.covers(-1)))&&(!r||!a.isWidget()&&r.isWidget())&&(r=a,s=e-i)}}),!o&&!r)throw new Error("No tile at position "+e);return o&&t<0||!r?{tile:o,offset:n}:{tile:r,offset:s}}}class lt extends it{constructor(e,t){super(e),this.wrapper=t}isBlock(){return!0}covers(e){return!!this.children.length&&(e<0?this.children[0].covers(-1):this.lastChild.covers(1))}get domAttrs(){return this.wrapper.attributes}static of(e,t){let o=new lt(t||document.createElement(e.tagName),e);return t||(o.flags|=4),o}}class pt extends it{constructor(e,t){super(e),this.attrs=t}isLine(){return!0}static start(e,t,o){let r=new pt(t||document.createElement("div"),e);return t&&o||(r.flags|=4),r}get domAttrs(){return this.attrs}resolveInline(e,t,o){let r=null,n=-1,s=null,a=-1;!function e(i,c){for(let 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n=this.ensureMarks(t,o);r||16&e.flags||n.append(this.getBuffer(1)),n.append(e),this.pos+=e.length,this.afterWidget=e}addMark(e,t,o){this.flushBuffer(),this.ensureMarks(t,o).append(e),this.pos+=e.length,this.afterWidget=null}addBlockWidget(e){this.getBlockPos().append(e),this.pos+=e.length,this.lastBlock=e,this.endLine()}continueWidget(e){(this.afterWidget||this.lastBlock).length+=e,this.pos+=e}addLineStart(e,t){var o;e||(e=$t);let r=pt.start(e,t||(null===(o=this.cache.find(pt))||void 0===o?void 0:o.dom),!!t);this.getBlockPos().append(this.lastBlock=this.curLine=r)}addLine(e){this.getBlockPos().append(e),this.pos+=e.length,this.lastBlock=e,this.endLine()}addBreak(){this.lastBlock.flags|=1,this.endLine(),this.pos++}addLineStartIfNotCovered(e){this.blockPosCovered()||this.addLineStart(e)}ensureLine(e){this.curLine||this.addLineStart(e)}ensureMarks(e,t){var o;let r=this.curLine;for(let n=e.length-1;n>=0;n--){let s,a=e[n];if(t>0&&(s=r.lastChild)&&s instanceof ht&&s.mark.eq(a))r=s,t--;else{let e=ht.of(a,null===(o=this.cache.find(ht,e=>e.mark.eq(a)))||void 0===o?void 0:o.dom);r.append(e),r=e,t=0}}return r}endLine(){if(this.curLine){this.flushBuffer();let e=this.curLine.lastChild;e&&wt(this.curLine,!1)&&("BR"==e.dom.nodeName||!e.isWidget()||x.ios&&wt(this.curLine,!0))||this.curLine.append(this.cache.findWidget(zt,0,32)||new mt(zt.toDOM(),0,zt,32)),this.curLine=this.afterWidget=null}}updateBlockWrappers(){this.wrapperPos>this.pos+1e4&&(this.blockWrappers.goto(this.pos),this.wrappers.length=0);for(let e=this.wrappers.length-1;e>=0;e--)this.wrappers[e].to=this.pos){let t=new bt(e.from,e.to,e.value,e.rank),o=this.wrappers.length;for(;o>0&&(this.wrappers[o-1].rank-t.rank||this.wrappers[o-1].to-t.to)<0;)o--;this.wrappers.splice(o,0,t)}this.wrapperPos=this.pos}getBlockPos(){var e;this.updateBlockWrappers();let t=this.root;for(let o of this.wrappers){let r=t.lastChild;if(o.frome.wrapper.eq(o.wrapper)))||void 0===e?void 0:e.dom);t.append(r),t=r}}return t}blockPosCovered(){let e=this.lastBlock;return null!=e&&!e.breakAfter&&(!e.isWidget()||(160&e.flags)>0)}getBuffer(e){let t=2|(e<0?16:32),o=this.cache.find(vt,void 0,1);return o&&(o.flags=t),o||new vt(t)}flushBuffer(){!this.afterWidget||32&this.afterWidget.flags||(this.afterWidget.parent.append(this.getBuffer(-1)),this.afterWidget=null)}}class yt{constructor(e){this.skipCount=0,this.text="",this.textOff=0,this.cursor=e.iter()}skip(e){this.textOff+e<=this.text.length?this.textOff+=e:(this.skipCount+=e-(this.text.length-this.textOff),this.text="",this.textOff=0)}next(e){if(this.textOff==this.text.length){let{value:t,lineBreak:o,done:r}=this.cursor.next(this.skipCount);if(this.skipCount=0,r)throw new Error("Ran out of text content when drawing inline views");this.text=t;let n=this.textOff=Math.min(e,t.length);return o?null:t.slice(0,n)}let t=Math.min(this.text.length,this.textOff+e),o=this.text.slice(this.textOff,t);return this.textOff=t,o}}const kt=[mt,pt,ft,ht,vt,lt,dt];for(let e=0;e[]),this.index=kt.map(()=>0),this.reused=new Map}add(e){let t=e.constructor.bucket,o=this.buckets[t];o.length<6?o.push(e):o[this.index[t]=(this.index[t]+1)%6]=e}find(e,t,o=2){let r=e.bucket,n=this.buckets[r],s=this.index[r];for(let e=n.length-1;e>=0;e--){let a=(e+s)%n.length,i=n[a];if((!t||t(i))&&!this.reused.has(i))return n.splice(a,1),a{if(this.cache.add(e),e.isComposite())return!1},enter:e=>this.cache.add(e),leave:()=>{},break:()=>{}}}run(e,t){let o=t&&this.getCompositionContext(t.text);for(let r=0,n=0,s=0;;){let a=sr){let e=i-r;this.preserve(e,!s,!a),r=i,n+=e}if(!a)break;t&&a.fromA<=t.range.fromA&&a.toA>=t.range.toA?(this.forward(a.fromA,t.range.fromA,t.range.fromA1;o--){let r=o==e.parents.length?e.tile:e.parents[o].tile;r instanceof ht&&t.push(r.mark)}return t}(this.old),n=this.openMarks;this.old.advance(e,o?1:-1,{skip:(e,t,o)=>{if(e.isWidget())if(this.openWidget)this.builder.continueWidget(o-t);else{let s=o>0||t{e.isLine()?this.builder.addLineStart(e.attrs,this.cache.maybeReuse(e)):(this.cache.add(e),e instanceof ht&&r.unshift(e.mark)),this.openWidget=!1},leave:e=>{e.isLine()?r.length&&(r.length=n=0):e instanceof ht&&(r.shift(),n=Math.min(n,r.length))},break:()=>{this.builder.addBreak(),this.openWidget=!1}}),this.text.skip(e)}emit(e,t){let o=null,n=this.builder,s=0,a=r.om.spans(this.decorations,e,t,{point:(e,t,r,a,i,c)=>{if(r instanceof C){if(this.disallowBlockEffectsFor[c]){if(r.block)throw new RangeError("Block decorations may not be specified via plugins");if(t>this.view.state.doc.lineAt(e).to)throw new RangeError("Decorations that replace line breaks may not be specified via plugins")}if(s=a.length,i>a.length)n.continueWidget(t-e);else{let s=r.widget||(r.block?Qt.block:Qt.inline),c=function(e){let t=e.isReplace?(e.startSide<0?64:0)|(e.endSide>0?128:0):e.startSide>0?32:16;e.block&&(t|=256);return t}(r),d=this.cache.findWidget(s,t-e,c)||mt.of(s,this.view,t-e,c);r.block?(r.startSide>0&&n.addLineStartIfNotCovered(o),n.addBlockWidget(d)):(n.ensureLine(o),n.addInlineWidget(d,a,i))}o=null}else o=function(e,t){let o=t.spec.attributes,r=t.spec.class;if(!o&&!r)return e;e||(e={class:"cm-line"});o&&_(o,e);r&&(e.class+=" "+r);return e}(o,r);t>e&&this.text.skip(t-e)},span:(e,t,r,s)=>{for(let a=e;as,this.openMarks=a}forward(e,t,o=1){t-e<=10?this.old.advance(t-e,o,this.reuseWalker):(this.old.advance(5,-1,this.reuseWalker),this.old.advance(t-e-10,-1),this.old.advance(5,o,this.reuseWalker))}getCompositionContext(e){let t=[],o=null;for(let r=e.parentNode;;r=r.parentNode){let e=at.get(r);if(r==this.view.contentDOM)break;e instanceof ht?t.push(e):(null==e?void 0:e.isLine())?o=e:"DIV"!=r.nodeName||o||r==this.view.contentDOM?t.push(ht.of(new E({tagName:r.nodeName.toLowerCase(),attributes:Q(r)}),r)):o=new pt(r,$t)}return{line:o,marks:t}}}function wt(e,t){let o=e=>{for(let r of e.children)if((t?r.isText():r.length)||o(r))return!0;return!1};return o(e)}const $t={class:"cm-line"};function St(e){let t=at.get(e);return t&&t.setDOM(e.cloneNode()),e}class Qt extends z{constructor(e){super(),this.tag=e}eq(e){return e.tag==this.tag}toDOM(){return document.createElement(this.tag)}updateDOM(e){return e.nodeName.toLowerCase()==this.tag}get isHidden(){return!0}}Qt.inline=new Qt("span"),Qt.block=new Qt("div");const zt=new class extends z{toDOM(){return document.createElement("br")}get isHidden(){return!0}get editable(){return!0}};class Pt{constructor(e){this.view=e,this.decorations=[],this.blockWrappers=[],this.dynamicDecorationMap=[!1],this.domChanged=null,this.hasComposition=null,this.editContextFormatting=T.none,this.lastCompositionAfterCursor=!1,this.minWidth=0,this.minWidthFrom=0,this.minWidthTo=0,this.impreciseAnchor=null,this.impreciseHead=null,this.forceSelection=!1,this.lastUpdate=Date.now(),this.updateDeco(),this.tile=new dt(e,e.contentDOM),this.updateInner([new rt(0,0,0,e.state.doc.length)],null)}update(e){var t;let o=e.changedRanges;this.minWidth>0&&o.length&&(o.every(({fromA:e,toA:t})=>tthis.minWidthTo)?(this.minWidthFrom=e.changes.mapPos(this.minWidthFrom,1),this.minWidthTo=e.changes.mapPos(this.minWidthTo,1)):this.minWidth=this.minWidthFrom=this.minWidthTo=0),this.updateEditContextFormatting(e);let n=-1;this.view.inputState.composing>=0&&!this.view.observer.editContext&&((null===(t=this.domChanged)||void 0===t?void 0:t.newSel)?n=this.domChanged.newSel.head:function(e,t){let o=!1;t&&e.iterChangedRanges((e,r)=>{et.from&&(o=!0)});return o}(e.changes,this.hasComposition)||e.selectionSet||(n=e.state.selection.main.head));let s=n>-1?function(e,t,o){let r=Et(e,o);if(!r)return null;let{node:n,from:s,to:a}=r,i=n.nodeValue;if(/[\n\r]/.test(i))return null;if(e.state.doc.sliceString(r.from,r.to)!=i)return null;let c=t.invertedDesc;return{range:new rt(c.mapPos(s),c.mapPos(a),s,a),text:n}}(this.view,e.changes,n):null;if(this.domChanged=null,this.hasComposition){let{from:t,to:r}=this.hasComposition;o=new rt(t,r,e.changes.mapPos(t,-1),e.changes.mapPos(r,1)).addToSet(o.slice())}this.hasComposition=s?{from:s.range.fromB,to:s.range.toB}:null,(x.ie||x.chrome)&&!s&&e&&e.state.doc.lines!=e.startState.doc.lines&&(this.forceSelection=!0);let a=this.decorations,i=this.blockWrappers;this.updateDeco();let c=function(e,t,o){let n=new Mt;return r.om.compare(e,t,o,n),n.changes}(a,this.decorations,e.changes);c.length&&(o=rt.extendWithRanges(o,c));let d=function(e,t,o){let n=new Ct;return r.om.compare(e,t,o,n),n.changes}(i,this.blockWrappers,e.changes);return d.length&&(o=rt.extendWithRanges(o,d)),s&&!o.some(e=>e.fromA<=s.range.fromA&&e.toA>=s.range.toA)&&(o=s.range.addToSet(o.slice())),!(2&this.tile.flags&&0==o.length)&&(this.updateInner(o,s),e.transactions.length&&(this.lastUpdate=Date.now()),!0)}updateInner(e,t){this.view.viewState.mustMeasureContent=!0;let{observer:o}=this.view;o.ignore(()=>{if(t||e.length){let o=this.tile,r=new _t(this.view,o,this.blockWrappers,this.decorations,this.dynamicDecorationMap);this.tile=r.run(e,t),Tt(o,r.cache.reused)}this.tile.dom.style.height=this.view.viewState.contentHeight/this.view.scaleY+"px",this.tile.dom.style.flexBasis=this.minWidth?this.minWidth+"px":"";let r=x.chrome||x.ios?{node:o.selectionRange.focusNode,written:!1}:void 0;this.tile.sync(r),!r||!r.written&&o.selectionRange.focusNode==r.node&&this.tile.dom.contains(r.node)||(this.forceSelection=!0),this.tile.dom.style.height=""});let r=[];if(this.view.viewport.from||this.view.viewport.to-1)&&N(o,this.view.observer.selectionRange)&&!(r&&o.contains(r));if(!(n||t||s))return;let a=this.forceSelection;this.forceSelection=!1;let i,c,d=this.view.state.selection.main;if(d.empty?c=i=this.inlineDOMNearPos(d.anchor,d.assoc||1):(c=this.inlineDOMNearPos(d.head,d.head==d.from?1:-1),i=this.inlineDOMNearPos(d.anchor,d.anchor==d.from?1:-1)),x.gecko&&d.empty&&!this.hasComposition&&(1==(l=i).node.nodeType&&l.node.firstChild&&(0==l.offset||"false"==l.node.childNodes[l.offset-1].contentEditable)&&(l.offset==l.node.childNodes.length||"false"==l.node.childNodes[l.offset].contentEditable))){let e=document.createTextNode("");this.view.observer.ignore(()=>i.node.insertBefore(e,i.node.childNodes[i.offset]||null)),i=c=new ne(e,0),a=!0}var l;let p=this.view.observer.selectionRange;!a&&p.focusNode&&(L(i.node,i.offset,p.anchorNode,p.anchorOffset)&&L(c.node,c.offset,p.focusNode,p.focusOffset)||this.suppressWidgetCursorChange(p,d))||(this.view.observer.ignore(()=>{x.android&&x.chrome&&o.contains(p.focusNode)&&function(e,t){for(let o=e;o&&o!=t;o=o.assignedSlot||o.parentNode)if(1==o.nodeType&&"false"==o.contentEditable)return!0;return!1}(p.focusNode,o)&&(o.blur(),o.focus({preventScroll:!0}));let e=q(this.view.root);if(e)if(d.empty){if(x.gecko){let e=(t=i.node,n=i.offset,1!=t.nodeType?0:(n&&"false"==t.childNodes[n-1].contentEditable?1:0)|(nd.head&&([i,c]=[c,i]),t.setEnd(c.node,c.offset),t.setStart(i.node,i.offset),e.removeAllRanges(),e.addRange(t)}else;var t,n;s&&this.view.root.activeElement==o&&(o.blur(),r&&r.focus())}),this.view.observer.setSelectionRange(i,c)),this.impreciseAnchor=i.precise?null:new ne(p.anchorNode,p.anchorOffset),this.impreciseHead=c.precise?null:new ne(p.focusNode,p.focusOffset)}suppressWidgetCursorChange(e,t){return this.hasComposition&&t.empty&&L(e.focusNode,e.focusOffset,e.anchorNode,e.anchorOffset)&&this.posFromDOM(e.focusNode,e.focusOffset)==t.head}enforceCursorAssoc(){if(this.hasComposition)return;let{view:e}=this,t=e.state.selection.main,o=q(e.root),{anchorNode:r,anchorOffset:n}=e.observer.selectionRange;if(!(o&&t.empty&&t.assoc&&o.modify))return;let s=this.lineAt(t.head,t.assoc);if(!s)return;let a=s.posAtStart;if(t.head==a||t.head==a+s.length)return;let i=this.coordsAt(t.head,-1),c=this.coordsAt(t.head,1);if(!i||!c||i.bottom>c.top)return;let d=this.domAtPos(t.head+t.assoc,t.assoc);o.collapse(d.node,d.offset),o.modify("move",t.assoc<0?"forward":"backward","lineboundary"),e.observer.readSelectionRange();let l=e.observer.selectionRange;e.docView.posFromDOM(l.anchorNode,l.anchorOffset)!=t.from&&o.collapse(r,n)}posFromDOM(e,t){let o=this.tile.nearest(e);if(!o)return 2&this.tile.dom.compareDocumentPosition(e)?0:this.view.state.doc.length;let r=o.posAtStart;if(!o.isComposite())return o.isText()?e==o.dom?r+t:r+(t?o.length:0):r;{let n;if(e==o.dom)n=o.dom.childNodes[t];else{let r=0==U(e)?0:0==t?-1:1;for(;;){let t=e.parentNode;if(t==o.dom)break;0==r&&t.firstChild!=t.lastChild&&(r=e==t.firstChild?-1:1),e=t}n=r<0?e:e.nextSibling}if(n==o.dom.firstChild)return r;for(;n&&!at.get(n);)n=n.nextSibling;if(!n)return r+o.length;for(let e=0,t=r;;e++){let r=o.children[e];if(r.dom==n)return t;t+=r.length+r.breakAfter}}}domAtPos(e,t){let{tile:o,offset:r}=this.tile.resolveBlock(e,t);return o.isWidget()?o.domPosFor(e,t):o.domIn(r,t)}inlineDOMNearPos(e,t){let o,r,n=-1,s=!1,a=-1,i=!1;return this.tile.blockTiles((t,c)=>{if(t.isWidget()){if(32&t.flags&&c>=e)return!0;16&t.flags&&(s=!0)}else{let d=c+t.length;if(c<=e&&(o=t,n=e-c,s=d=e&&!r&&(r=t,a=e-c,i=c>e),c>e&&r)return!0}}),o||r?(s&&r?o=null:i&&o&&(r=null),o&&t<0||!r?o.domIn(n,t):r.domIn(a,t)):this.domAtPos(e,t)}coordsAt(e,t){let{tile:o,offset:r}=this.tile.resolveBlock(e,t);return o.isWidget()?o.widget instanceof Rt?null:o.coordsInWidget(r,t,!0):o.coordsIn(r,t)}lineAt(e,t){let{tile:o}=this.tile.resolveBlock(e,t);return o.isLine()?o:null}coordsForChar(e){let{tile:t,offset:o}=this.tile.resolveBlock(e,1);if(!t.isLine())return null;return function e(t,o){if(t.isComposite())for(let r of t.children){if(r.length>=o){let t=e(r,o);if(t)return t}if((o-=r.length)<0)break}else if(t.isText()&&oMath.max(this.view.scrollDOM.clientWidth,this.minWidth)+1,a=-1,i=this.view.textDirection==se.LTR,c=0,d=(e,l,p)=>{for(let u=0;ur);u++){let r=e.children[u],h=l+r.length,f=r.dom.getBoundingClientRect(),{height:m}=f;if(p&&!u&&(c+=f.top-p.top),r instanceof lt)h>o&&d(r,l,f);else if(l>=o&&(c>0&&t.push(-c),t.push(m+c),c=0,s)){let e=r.dom.lastChild,t=e?D(e):[];if(t.length){let e=t[t.length-1],o=i?e.right-f.left:f.right-e.left;o>a&&(a=o,this.minWidth=n,this.minWidthFrom=l,this.minWidthTo=h)}}p&&u==e.children.length-1&&(c+=p.bottom-f.bottom),l=h+r.breakAfter}};return d(this.tile,0,null),t}textDirectionAt(e){let{tile:t}=this.tile.resolveBlock(e,1);return"rtl"==getComputedStyle(t.dom).direction?se.RTL:se.LTR}measureTextSize(){let e=this.tile.blockTiles(e=>{if(e.isLine()&&e.children.length&&e.length<=20){let t,o=0;for(let r of e.children){if(!r.isText()||/[^ -~]/.test(r.text))return;let e=D(r.dom);if(1!=e.length)return;o+=e[0].width,t=e[0].height}if(o)return{lineHeight:e.dom.getBoundingClientRect().height,charWidth:o/e.length,textHeight:t}}});if(e)return e;let t,o,r,n=document.createElement("div");return n.className="cm-line",n.style.width="99999px",n.style.position="absolute",n.textContent="abc def ghi jkl mno pqr stu",this.view.observer.ignore(()=>{this.tile.dom.appendChild(n);let e=D(n.firstChild)[0];t=n.getBoundingClientRect().height,o=e&&e.width?e.width/27:7,r=e&&e.height?e.height:t,n.remove()}),{lineHeight:t,charWidth:o,textHeight:r}}computeBlockGapDeco(){let e=[],t=this.view.viewState;for(let o=0,r=0;;r++){let n=r==t.viewports.length?null:t.viewports[r],s=n?n.from-1:this.view.state.doc.length;if(s>o){let r=(t.lineBlockAt(s).bottom-t.lineBlockAt(o).top)/this.view.scaleY;e.push(T.replace({widget:new Rt(r),block:!0,inclusive:!0,isBlockGap:!0}).range(o,s))}if(!n)break;o=n.to+1}return T.set(e)}updateDeco(){let e=1,t=this.view.state.facet(Be).map(t=>(this.dynamicDecorationMap[e++]="function"==typeof t)?t(this.view):t),o=!1,n=this.view.state.facet(Ge).map((e,t)=>{let r="function"==typeof e;return r&&(o=!0),r?e(this.view):e});for(n.length&&(this.dynamicDecorationMap[e++]=o,t.push(r.om.join(n))),this.decorations=[this.editContextFormatting,...t,this.computeBlockGapDeco(),this.view.viewState.lineGapDeco];e"function"==typeof e?e(this.view):e)}scrollIntoView(e){if(e.isSnapshot){let t=this.view.viewState.lineBlockAt(e.range.head);return this.view.scrollDOM.scrollTop=t.top-e.yMargin,void(this.view.scrollDOM.scrollLeft=e.xMargin)}for(let t of this.view.state.facet(Xe))try{if(t(this.view,e.range,e))return!0}catch(e){De(this.view.state,e,"scroll handler")}let t,{range:o}=e,r=this.coordsAt(o.head,o.empty?o.assoc:o.head>o.anchor?-1:1);if(!r)return;!o.empty&&(t=this.coordsAt(o.anchor,o.anchor>o.head?-1:1))&&(r={left:Math.min(r.left,t.left),top:Math.min(r.top,t.top),right:Math.max(r.right,t.right),bottom:Math.max(r.bottom,t.bottom)});let n=tt(this.view),s={left:r.left-n.left,top:r.top-n.top,right:r.right+n.right,bottom:r.bottom+n.bottom},{offsetWidth:a,offsetHeight:i}=this.view.scrollDOM;!function(e,t,o,r,n,s,a,i){let c=e.ownerDocument,d=c.defaultView||window;for(let l=e,p=!1;l&&!p;)if(1==l.nodeType){let e,u=l==c.body,h=1,f=1;if(u)e=W(d);else{if(/^(fixed|sticky)$/.test(getComputedStyle(l).position)&&(p=!0),l.scrollHeight<=l.clientHeight&&l.scrollWidth<=l.clientWidth){l=l.assignedSlot||l.parentNode;continue}let t=l.getBoundingClientRect();({scaleX:h,scaleY:f}=B(l,t)),e={left:t.left,right:t.left+l.clientWidth*h,top:t.top,bottom:t.top+l.clientHeight*f}}let m=0,v=0;if("nearest"==n)t.top0&&t.bottom>e.bottom+v&&(v=t.bottom-e.bottom+a)):t.bottom>e.bottom&&(v=t.bottom-e.bottom+a,o<0&&t.top-v0&&t.right>e.right+m&&(m=t.right-e.right+s)):t.right>e.right&&(m=t.right-e.right+s,o<0&&t.lefte.bottom||t.lefte.right)&&(t={left:Math.max(t.left,e.left),right:Math.min(t.right,e.right),top:Math.max(t.top,e.top),bottom:Math.min(t.bottom,e.bottom)}),l=l.assignedSlot||l.parentNode}else{if(11!=l.nodeType)break;l=l.host}}(this.view.scrollDOM,s,o.heade.isWidget()||e.children.some(t);return t(this.tile.resolveBlock(e,1).tile)}destroy(){Tt(this.tile)}}function Tt(e,t){let o=null==t?void 0:t.get(e);if(1!=o){null==o&&e.destroy();for(let o of e.children)Tt(o,t)}}function Et(e,t){let o=e.observer.selectionRange;if(!o.focusNode)return null;let r=oe(o.focusNode,o.focusOffset),n=re(o.focusNode,o.focusOffset),s=r||n;if(n&&r&&n.node!=r.node){let t=at.get(n.node);if(!t||t.isText()&&t.text!=n.node.nodeValue)s=n;else if(e.docView.lastCompositionAfterCursor){let e=at.get(r.node);!e||e.isText()&&e.text!=r.node.nodeValue||(s=n)}}if(e.docView.lastCompositionAfterCursor=s!=r,!s)return null;let a=t-s.offset;return{from:a,to:a+s.node.nodeValue.length,node:s.node}}let Mt=class{constructor(){this.changes=[]}compareRange(e,t){A(e,t,this.changes)}comparePoint(e,t){A(e,t,this.changes)}boundChange(e){A(e,e,this.changes)}};class Ct{constructor(){this.changes=[]}compareRange(e,t){A(e,t,this.changes)}comparePoint(){}boundChange(e){A(e,e,this.changes)}}class Rt extends z{constructor(e){super(),this.height=e}toDOM(){let e=document.createElement("div");return e.className="cm-gap",this.updateDOM(e),e}eq(e){return e.height==this.height}updateDOM(e){return e.style.height=this.height+"px",!0}get editable(){return!0}get estimatedHeight(){return this.height}ignoreEvent(){return!1}}function At(e,t,o){let r=e.lineBlockAt(t);if(Array.isArray(r.type)){let e;for(let n of r.type){if(n.from>t)break;if(!(n.tot)return n;e&&(n.type!=P.Text||e.type==n.type&&!(o<0?n.fromt))||(e=n)}}return e||r}return r}function Xt(e,t,o,r){let n=e.state.doc.lineAt(t.head),s=e.bidiSpans(n),a=e.textDirectionAt(n.from);for(let i=t,c=null;;){let t=_e(n,s,a,i,o),d=xe;if(!t){if(n.number==(o?e.state.doc.lines:1))return i;d="\n",n=e.state.doc.line(n.number+(o?1:-1)),s=e.bidiSpans(n),t=e.visualLineSide(n,!o)}if(c){if(!c(d))return i}else{if(!r)return t;c=r(d)}i=t}}function qt(e,t,o){for(;;){let r=0;for(let n of e)n.between(t-1,t+1,(e,n,s)=>{if(t>e&&tt(e)),o.from,t.head>o.from?-1:1);return n==o.from?o:r.OF.cursor(n,ne.viewState.docHeight)return new Dt(e.state.doc.length,-1);if(s=e.elementAtHeight(l),null==n)break;if(s.type==P.Text){if(n<0?s.toe.viewport.to)break;let t=e.docView.coordsAt(n<0?s.from:s.to,n>0?-1:1);if(t&&(n<0?t.top<=l+i:t.bottom>=l+i))break}let t=e.viewState.heightOracle.textHeight/2;l=n>0?s.bottom+t:s.top-t}if(e.viewport.from>=s.to||e.viewport.to<=s.from){if(o)return null;if(s.type==P.Text){let t=function(e,t,o,n,s){let a=Math.round((n-t.left)*e.defaultCharacterWidth);if(e.lineWrapping&&o.height>1.5*e.defaultLineHeight){let t=e.viewState.heightOracle.textHeight;a+=Math.floor((s-o.top-.5*(e.defaultLineHeight-t))/t)*e.viewState.heightOracle.lineLength}let i=e.state.sliceDoc(o.from,o.to);return o.from+(0,r.kn)(i,a,e.state.tabSize)}(e,a,s,c,d);return new Dt(t,t==s.from?1:-1)}}if(s.type!=P.Text)return l<(s.top+s.bottom)/2?new Dt(s.from,1):new Dt(s.to,-1);let p=e.docView.lineAt(s.from,2);return p&&p.length==s.length||(p=e.docView.lineAt(s.from,-2)),new Vt(e,c,d,e.textDirectionAt(s.from)).scanTile(p,s.from)}class Vt{constructor(e,t,o,r){this.view=e,this.x=t,this.y=o,this.baseDir=r,this.line=null,this.spans=null}bidiSpansAt(e){return(!this.line||this.line.from>e||this.line.to1||o.length&&(o[0].level!=this.baseDir||o[0].to+r.from>1;t:if(i.has(u)){let e=s+Math.floor(Math.random()*p);for(let t=0;tthis.y)(!r||r.top>i.top)&&(r=i),p=-1;else{let e=i.left>this.x?this.x-i.left:i.right(n.left+n.right)/2==p}}scanText(e,t){let o=[];for(let n=0;n{let n=o[r]-t,s=o[r+1]-t;return J(e.dom,n,s).getClientRects()});return n.after?new Dt(o[n.i+1],-1):new Dt(o[n.i],1)}scanTile(e,t){if(!e.length)return new Dt(t,1);if(1==e.children.length){let o=e.children[0];if(o.isText())return this.scanText(o,t);if(o.isComposite())return this.scanTile(o,t)}let o=[t];for(let r=0,n=t;r{let o=e.children[t];return 48&o.flags?null:(1==o.dom.nodeType?o.dom:J(o.dom,0,o.length)).getClientRects()}),n=e.children[r.i],s=o[r.i];return n.isText()?this.scanText(n,s):n.isComposite()?this.scanTile(n,s):r.after?new Dt(o[r.i+1],-1):new Dt(s,1)}}const Zt="￿";class Yt{constructor(e,t){this.points=e,this.view=t,this.text="",this.lineSeparator=t.state.facet(r.$t.lineSeparator)}append(e){this.text+=e}lineBreak(){this.text+=Zt}readRange(e,t){if(!e)return this;let o=e.parentNode;for(let r=e;;){this.findPointBefore(o,r);let e=this.text.length;this.readNode(r);let n=at.get(r),s=r.nextSibling;if(s==t){(null==n?void 0:n.breakAfter)&&!s&&o!=this.view.contentDOM&&this.lineBreak();break}let a=at.get(s);(n&&a?n.breakAfter:(n?n.breakAfter:Z(r))||Z(s)&&("BR"!=r.nodeName||(null==n?void 0:n.isWidget()))&&this.text.length>e)&&!jt(s,t)&&this.lineBreak(),r=s}return this.findPointBefore(o,t),this}readTextNode(e){let t=e.nodeValue;for(let o of this.points)o.node==e&&(o.pos=this.text.length+Math.min(o.offset,t.length));for(let o=0,r=this.lineSeparator?null:/\r\n?|\n/g;;){let n,s=-1,a=1;if(this.lineSeparator?(s=t.indexOf(this.lineSeparator,o),a=this.lineSeparator.length):(n=r.exec(t))&&(s=n.index,a=n[0].length),this.append(t.slice(o,s<0?t.length:s)),s<0)break;if(this.lineBreak(),a>1)for(let t of this.points)t.node==e&&t.pos>this.text.length&&(t.pos-=a-1);o=s+a}}readNode(e){let t=at.get(e),o=t&&t.overrideDOMText;if(null!=o){this.findPointInside(e,o.length);for(let e=o.iter();!e.next().done;)e.lineBreak?this.lineBreak():this.append(e.value)}else 3==e.nodeType?this.readTextNode(e):"BR"==e.nodeName?e.nextSibling&&this.lineBreak():1==e.nodeType&&this.readRange(e.firstChild,null)}findPointBefore(e,t){for(let o of this.points)o.node==e&&e.childNodes[o.offset]==t&&(o.pos=this.text.length)}findPointInside(e,t){for(let o of this.points)(3==e.nodeType?o.node==e:e.contains(o.node))&&(o.pos=this.text.length+(Ut(e,o.node,o.offset)?t:0))}}function Ut(e,t,o){for(;;){if(!t||o-1;let{impreciseHead:s,impreciseAnchor:a}=e.docView;if(e.state.readOnly&&t>-1)this.newSel=null;else if(t>-1&&(this.bounds=Ft(e.docView.tile,t,o,0))){let t=s||a?[]:function(e){let t=[];if(e.root.activeElement!=e.contentDOM)return t;let{anchorNode:o,anchorOffset:r,focusNode:n,focusOffset:s}=e.observer.selectionRange;o&&(t.push(new Wt(o,r)),n==o&&s==r||t.push(new Wt(n,s)));return t}(e),o=new Yt(t,e);o.readRange(this.bounds.startDOM,this.bounds.endDOM),this.text=o.text,this.newSel=function(e,t){if(0==e.length)return null;let o=e[0].pos,n=2==e.length?e[1].pos:o;return o>-1&&n>-1?r.OF.single(o+t,n+t):null}(t,this.bounds.from)}else{let t=e.observer.selectionRange,o=s&&s.node==t.focusNode&&s.offset==t.focusOffset||!I(e.contentDOM,t.focusNode)?e.state.selection.main.head:e.docView.posFromDOM(t.focusNode,t.focusOffset),n=a&&a.node==t.anchorNode&&a.offset==t.anchorOffset||!I(e.contentDOM,t.anchorNode)?e.state.selection.main.anchor:e.docView.posFromDOM(t.anchorNode,t.anchorOffset),i=e.viewport;if((x.ios||x.chrome)&&e.state.selection.main.empty&&o!=n&&(i.from>0||i.to-1&&e.state.selection.ranges.length>1?this.newSel=e.state.selection.replaceRange(r.OF.range(n,o)):this.newSel=r.OF.single(n,o)}}}function Ft(e,t,o,r){if(e.isComposite()){let n=-1,s=-1,a=-1,i=-1;for(let c=0,d=r,l=r;co)return Ft(r,t,o,d);if(p>=t&&-1==n&&(n=c,s=d),d>o&&r.dom.parentNode==e.dom){a=c,i=l;break}l=p,d=p+r.breakAfter}return{from:s,to:i<0?r+e.length:i,startDOM:(n?e.children[n-1].dom.nextSibling:null)||e.dom.firstChild,endDOM:a=0?e.children[a].dom:null}}return e.isText()?{from:r,to:r+e.length,startDOM:e.dom,endDOM:e.dom.nextSibling}:null}function Gt(e,t){let o,{newSel:n}=t,s=e.state.selection.main,a=e.inputState.lastKeyTime>Date.now()-100?e.inputState.lastKeyCode:-1;if(t.bounds){let{from:n,to:i}=t.bounds,c=s.from,d=null;(8===a||x.android&&t.text.length=s.from&&o.to<=s.to&&(o.from!=s.from||o.to!=s.to)&&s.to-s.from-(o.to-o.from)<=4?o={from:s.from,to:s.to,insert:e.state.doc.slice(s.from,o.from).append(o.insert).append(e.state.doc.slice(o.to,s.to))}:e.state.doc.lineAt(s.from).toDate.now()-50?o={from:s.from,to:s.to,insert:e.state.toText(e.inputState.insertingText)}:x.chrome&&o&&o.from==o.to&&o.from==s.head&&"\n "==o.insert.toString()&&e.lineWrapping&&(n&&(n=r.OF.single(n.main.anchor-1,n.main.head-1)),o={from:s.from,to:s.to,insert:r.EY.of([" "])}),o)return Ht(e,o,n,a);if(n&&!Jt(n,s)){let t=!1,o="select";return e.inputState.lastSelectionTime>Date.now()-50&&("select"==e.inputState.lastSelectionOrigin&&(t=!0),o=e.inputState.lastSelectionOrigin,"select.pointer"==o&&(n=It(e.state.facet(He).map(t=>t(e)),n))),e.dispatch({selection:n,scrollIntoView:t,userEvent:o}),!0}return!1}function Ht(e,t,o,n=-1){if(x.ios&&e.inputState.flushIOSKey(t))return!0;let s=e.state.selection.main;if(x.android&&(t.to==s.to&&(t.from==s.from||t.from==s.from-1&&" "==e.state.sliceDoc(t.from,s.from))&&1==t.insert.length&&2==t.insert.lines&&ee(e.contentDOM,"Enter",13)||(t.from==s.from-1&&t.to==s.to&&0==t.insert.length||8==n&&t.insert.lengths.head)&&ee(e.contentDOM,"Backspace",8)||t.from==s.from&&t.to==s.to+1&&0==t.insert.length&&ee(e.contentDOM,"Delete",46)))return!0;let a,i=t.insert.toString();e.inputState.composing>=0&&e.inputState.composing++;let c=()=>a||(a=function(e,t,o){let n,s=e.state,a=s.selection.main,i=-1;if(t.from==t.to&&t.froma.to){let o=t.fromt(e)),r,o);t.from==n&&(i=n)}if(i>-1)n={changes:t,selection:r.OF.cursor(t.from+t.insert.length,-1)};else if(t.from>=a.from&&t.to<=a.to&&t.to-t.from>=(a.to-a.from)/3&&(!o||o.main.empty&&o.main.from==t.from+t.insert.length)&&e.inputState.composing<0){let o=a.fromt.to?s.sliceDoc(t.to,a.to):"";n=s.replaceSelection(e.state.toText(o+t.insert.sliceString(0,void 0,e.state.lineBreak)+r))}else{let i=s.changes(t),c=o&&o.main.to<=i.newLength?o.main:void 0;if(s.selection.ranges.length>1&&(e.inputState.composing>=0||e.inputState.compositionPendingChange)&&t.to<=a.to+10&&t.to>=a.to-10){let d,l=e.state.sliceDoc(t.from,t.to),p=o&&Et(e,o.main.head);if(p){let e=t.insert.length-(t.to-t.from);d={from:p.from,to:p.to-e}}else d=e.state.doc.lineAt(a.head);let u=a.to-t.to;n=s.changeByRange(o=>{if(o.from==a.from&&o.to==a.to)return{changes:i,range:c||o.map(i)};let n=o.to-u,p=n-l.length;if(e.state.sliceDoc(p,n)!=l||n>=d.from&&p<=d.to)return{range:o};let h=s.changes({from:p,to:n,insert:t.insert}),f=o.to-a.to;return{changes:h,range:c?r.OF.range(Math.max(0,c.anchor+f),Math.max(0,c.head+f)):o.map(h)}})}else n={changes:i,selection:c&&s.selection.replaceRange(c)}}let c="input.type";(e.composing||e.inputState.compositionPendingChange&&e.inputState.compositionEndedAt>Date.now()-50)&&(e.inputState.compositionPendingChange=!1,c+=".compose",e.inputState.compositionFirstChange&&(c+=".start",e.inputState.compositionFirstChange=!1));return s.update(n,{userEvent:c,scrollIntoView:!0})}(e,t,o));return e.state.facet(Te).some(o=>o(e,t.from,t.to,i,c))||e.dispatch(c()),!0}function Kt(e,t,o,r){let n=Math.min(e.length,t.length),s=0;for(;s0&&i>0&&e.charCodeAt(a-1)==t.charCodeAt(i-1);)a--,i--;if("end"==r){o-=a+Math.max(0,s-Math.min(a,i))-s}if(a=a?s-o:0,i=s+(i-a),a=s}else if(i=i?s-o:0,a=s+(a-i),i=s}return{from:s,toA:a,toB:i}}function Jt(e,t){return t.head==e.main.head&&t.anchor==e.main.anchor}class eo{setSelectionOrigin(e){this.lastSelectionOrigin=e,this.lastSelectionTime=Date.now()}constructor(e){this.view=e,this.lastKeyCode=0,this.lastKeyTime=0,this.lastTouchTime=0,this.lastFocusTime=0,this.lastScrollTop=0,this.lastScrollLeft=0,this.pendingIOSKey=void 0,this.tabFocusMode=-1,this.lastSelectionOrigin=null,this.lastSelectionTime=0,this.lastContextMenu=0,this.scrollHandlers=[],this.handlers=Object.create(null),this.composing=-1,this.compositionFirstChange=null,this.compositionEndedAt=0,this.compositionPendingKey=!1,this.compositionPendingChange=!1,this.insertingText="",this.insertingTextAt=0,this.mouseSelection=null,this.draggedContent=null,this.handleEvent=this.handleEvent.bind(this),this.notifiedFocused=e.hasFocus,x.safari&&e.contentDOM.addEventListener("input",()=>null),x.gecko&&function(e){$o.has(e)||($o.add(e),e.addEventListener("copy",()=>{}),e.addEventListener("cut",()=>{}))}(e.contentDOM.ownerDocument)}handleEvent(e){(function(e,t){if(!t.bubbles)return!0;if(t.defaultPrevented)return!1;for(let o,r=t.target;r!=e.contentDOM;r=r.parentNode)if(!r||11==r.nodeType||(o=at.get(r))&&o.isWidget()&&!o.isHidden&&o.widget.ignoreEvent(t))return!1;return!0})(this.view,e)&&!this.ignoreDuringComposition(e)&&("keydown"==e.type&&this.keydown(e)||(0!=this.view.updateState?Promise.resolve().then(()=>this.runHandlers(e.type,e)):this.runHandlers(e.type,e)))}runHandlers(e,t){let o=this.handlers[e];if(o){for(let e of o.observers)e(this.view,t);for(let e of o.handlers){if(t.defaultPrevented)break;if(e(this.view,t)){t.preventDefault();break}}}}ensureHandlers(e){let t=oo(e),o=this.handlers,r=this.view.contentDOM;for(let e in t)if("scroll"!=e){let n=!t[e].handlers.length,s=o[e];s&&n!=!s.handlers.length&&(r.removeEventListener(e,this.handleEvent),s=null),s||r.addEventListener(e,this.handleEvent,{passive:n})}for(let e in o)"scroll"==e||t[e]||r.removeEventListener(e,this.handleEvent);this.handlers=t}keydown(e){if(this.lastKeyCode=e.keyCode,this.lastKeyTime=Date.now(),9==e.keyCode&&this.tabFocusMode>-1&&(!this.tabFocusMode||Date.now()<=this.tabFocusMode))return!0;if(this.tabFocusMode>0&&27!=e.keyCode&&so.indexOf(e.keyCode)<0&&(this.tabFocusMode=-1),x.android&&x.chrome&&!e.synthetic&&(13==e.keyCode||8==e.keyCode))return this.view.observer.delayAndroidKey(e.key,e.keyCode),!0;let t;return!x.ios||e.synthetic||e.altKey||e.metaKey||!((t=ro.find(t=>t.keyCode==e.keyCode))&&!e.ctrlKey||no.indexOf(e.key)>-1&&e.ctrlKey&&!e.shiftKey)?(229!=e.keyCode&&this.view.observer.forceFlush(),!1):(this.pendingIOSKey=t||e,setTimeout(()=>this.flushIOSKey(),250),!0)}flushIOSKey(e){let t=this.pendingIOSKey;return!!t&&(!("Enter"==t.key&&e&&e.from0||!!(x.safari&&!x.ios&&this.compositionPendingKey&&Date.now()-this.compositionEndedAt<100)&&(this.compositionPendingKey=!1,!0))}startMouseSelection(e){this.mouseSelection&&this.mouseSelection.destroy(),this.mouseSelection=e}update(e){this.view.observer.update(e),this.mouseSelection&&this.mouseSelection.update(e),this.draggedContent&&e.docChanged&&(this.draggedContent=this.draggedContent.map(e.changes)),e.transactions.length&&(this.lastKeyCode=this.lastSelectionTime=0)}destroy(){this.mouseSelection&&this.mouseSelection.destroy()}}function to(e,t){return(o,r)=>{try{return t.call(e,r,o)}catch(e){De(o.state,e)}}}function oo(e){let t=Object.create(null);function o(e){return t[e]||(t[e]={observers:[],handlers:[]})}for(let t of e){let e=t.spec,r=e&&e.plugin.domEventHandlers,n=e&&e.plugin.domEventObservers;if(r)for(let e in r){let n=r[e];n&&o(e).handlers.push(to(t.value,n))}if(n)for(let e in n){let r=n[e];r&&o(e).observers.push(to(t.value,r))}}for(let e in co)o(e).handlers.push(co[e]);for(let e in lo)o(e).observers.push(lo[e]);return t}const ro=[{key:"Backspace",keyCode:8,inputType:"deleteContentBackward"},{key:"Enter",keyCode:13,inputType:"insertParagraph"},{key:"Enter",keyCode:13,inputType:"insertLineBreak"},{key:"Delete",keyCode:46,inputType:"deleteContentForward"}],no="dthko",so=[16,17,18,20,91,92,224,225];function ao(e){return.7*Math.max(0,e)+8}class io{constructor(e,t,o,n){this.view=e,this.startEvent=t,this.style=o,this.mustSelect=n,this.scrollSpeed={x:0,y:0},this.scrolling=-1,this.lastEvent=t,this.scrollParents=function(e){let t,o,r=e.ownerDocument;for(let n=e.parentNode;n&&!(n==r.body||t&&o);)if(1==n.nodeType)!o&&n.scrollHeight>n.clientHeight&&(o=n),!t&&n.scrollWidth>n.clientWidth&&(t=n),n=n.assignedSlot||n.parentNode;else{if(11!=n.nodeType)break;n=n.host}return{x:t,y:o}}(e.contentDOM),this.atoms=e.state.facet(He).map(t=>t(e));let s=e.contentDOM.ownerDocument;s.addEventListener("mousemove",this.move=this.move.bind(this)),s.addEventListener("mouseup",this.up=this.up.bind(this)),this.extend=t.shiftKey,this.multiple=e.state.facet(r.$t.allowMultipleSelections)&&function(e,t){let o=e.state.facet($e);return o.length?o[0](t):x.mac?t.metaKey:t.ctrlKey}(e,t),this.dragging=!(!function(e,t){let{main:o}=e.state.selection;if(o.empty)return!1;let r=q(e.root);if(!r||0==r.rangeCount)return!0;let n=r.getRangeAt(0).getClientRects();for(let e=0;e=t.clientX&&o.top<=t.clientY&&o.bottom>=t.clientY)return!0}return!1}(e,t)||1!=Oo(t))&&null}start(e){!1===this.dragging&&this.select(e)}move(e){if(0==e.buttons)return this.destroy();if(this.dragging||null==this.dragging&&(t=this.startEvent,o=e,Math.max(Math.abs(t.clientX-o.clientX),Math.abs(t.clientY-o.clientY))<10))return;var t,o;this.select(this.lastEvent=e);let r=0,n=0,s=0,a=0,i=this.view.win.innerWidth,c=this.view.win.innerHeight;this.scrollParents.x&&({left:s,right:i}=this.scrollParents.x.getBoundingClientRect()),this.scrollParents.y&&({top:a,bottom:c}=this.scrollParents.y.getBoundingClientRect());let d=tt(this.view);e.clientX-d.left<=s+6?r=-ao(s-e.clientX):e.clientX+d.right>=i-6&&(r=ao(e.clientX-i)),e.clientY-d.top<=a+6?n=-ao(a-e.clientY):e.clientY+d.bottom>=c-6&&(n=ao(e.clientY-c)),this.setScrollSpeed(r,n)}up(e){null==this.dragging&&this.select(this.lastEvent),this.dragging||e.preventDefault(),this.destroy()}destroy(){this.setScrollSpeed(0,0);let e=this.view.contentDOM.ownerDocument;e.removeEventListener("mousemove",this.move),e.removeEventListener("mouseup",this.up),this.view.inputState.mouseSelection=this.view.inputState.draggedContent=null}setScrollSpeed(e,t){this.scrollSpeed={x:e,y:t},e||t?this.scrolling<0&&(this.scrolling=setInterval(()=>this.scroll(),50)):this.scrolling>-1&&(clearInterval(this.scrolling),this.scrolling=-1)}scroll(){let{x:e,y:t}=this.scrollSpeed;e&&this.scrollParents.x&&(this.scrollParents.x.scrollLeft+=e,e=0),t&&this.scrollParents.y&&(this.scrollParents.y.scrollTop+=t,t=0),(e||t)&&this.view.win.scrollBy(e,t),!1===this.dragging&&this.select(this.lastEvent)}select(e){let{view:t}=this,o=It(this.atoms,this.style.get(e,this.extend,this.multiple));!this.mustSelect&&o.eq(t.state.selection,!1===this.dragging)||this.view.dispatch({selection:o,userEvent:"select.pointer"}),this.mustSelect=!1}update(e){e.transactions.some(e=>e.isUserEvent("input.type"))?this.destroy():this.style.update(e)&&setTimeout(()=>this.select(this.lastEvent),20)}}const co=Object.create(null),lo=Object.create(null),po=x.ie&&x.ie_version<15||x.ios&&x.webkit_version<604;function uo(e,t,o){for(let r of e.facet(t))o=r(o,e);return o}function ho(e,t){t=uo(e.state,Me,t);let o,{state:n}=e,s=1,a=n.toText(t),i=a.lines==n.selection.ranges.length;if(null!=ko&&n.selection.ranges.every(e=>e.empty)&&ko==a.toString()){let e=-1;o=n.changeByRange(o=>{let c=n.doc.lineAt(o.from);if(c.from==e)return{range:o};e=c.from;let d=n.toText((i?a.line(s++).text:t)+n.lineBreak);return{changes:{from:c.from,insert:d},range:r.OF.cursor(o.from+d.length)}})}else o=i?n.changeByRange(e=>{let t=a.line(s++);return{changes:{from:e.from,to:e.to,insert:t.text},range:r.OF.cursor(e.from+t.length)}}):n.replaceSelection(a);e.dispatch(o,{userEvent:"input.paste",scrollIntoView:!0})}function fo(e,t,o,n){if(1==n)return r.OF.cursor(t,o);if(2==n)return function(e,t,o=1){let n=e.charCategorizer(t),s=e.doc.lineAt(t),a=t-s.from;if(0==s.length)return r.OF.cursor(t);0==a?o=1:a==s.length&&(o=-1);let i=a,c=a;o<0?i=(0,r.zK)(s.text,a,!1):c=(0,r.zK)(s.text,a);let d=n(s.text.slice(i,c));for(;i>0;){let e=(0,r.zK)(s.text,i,!1);if(n(s.text.slice(e,i))!=d)break;i=e}for(;c{e.inputState.lastScrollTop=e.scrollDOM.scrollTop,e.inputState.lastScrollLeft=e.scrollDOM.scrollLeft},co.keydown=(e,t)=>(e.inputState.setSelectionOrigin("select"),27==t.keyCode&&0!=e.inputState.tabFocusMode&&(e.inputState.tabFocusMode=Date.now()+2e3),!1),lo.touchstart=(e,t)=>{e.inputState.lastTouchTime=Date.now(),e.inputState.setSelectionOrigin("select.pointer")},lo.touchmove=e=>{e.inputState.setSelectionOrigin("select.pointer")},co.mousedown=(e,t)=>{if(e.observer.flush(),e.inputState.lastTouchTime>Date.now()-2e3)return!1;let o=null;for(let r of e.state.facet(Qe))if(o=r(e,t),o)break;if(o||0!=t.button||(o=function(e,t){let o=e.posAndSideAtCoords({x:t.clientX,y:t.clientY},!1),n=Oo(t),s=e.state.selection;return{update(e){e.docChanged&&(o.pos=e.changes.mapPos(o.pos),s=s.map(e.changes))},get(t,a,i){let c,d=e.posAndSideAtCoords({x:t.clientX,y:t.clientY},!1),l=fo(e,d.pos,d.assoc,n);if(o.pos!=d.pos&&!a){let t=fo(e,o.pos,o.assoc,n),s=Math.min(t.from,l.from),a=Math.max(t.to,l.to);l=s1&&(c=function(e,t){for(let o=0;o=t)return r.OF.create(e.ranges.slice(0,o).concat(e.ranges.slice(o+1)),e.mainIndex==o?0:e.mainIndex-(e.mainIndex>o?1:0))}return null}(s,d.pos))?c:i?s.addRange(l):r.OF.create([l])}}}(e,t)),o){let r=!e.hasFocus;e.inputState.startMouseSelection(new io(e,t,o,r)),r&&e.observer.ignore(()=>{K(e.contentDOM);let t=e.root.activeElement;t&&!t.contains(e.contentDOM)&&t.blur()});let n=e.inputState.mouseSelection;if(n)return n.start(t),!1===n.dragging}else e.inputState.setSelectionOrigin("select.pointer");return!1};const mo=x.ie&&x.ie_version<=11;let vo=null,go=0,bo=0;function Oo(e){if(!mo)return e.detail;let t=vo,o=bo;return vo=e,bo=Date.now(),go=!t||o>Date.now()-400&&Math.abs(t.clientX-e.clientX)<2&&Math.abs(t.clientY-e.clientY)<2?(go+1)%3:1}function yo(e,t,o,r){if(!(o=uo(e.state,Me,o)))return;let n=e.posAtCoords({x:t.clientX,y:t.clientY},!1),{draggedContent:s}=e.inputState,a=r&&s&&function(e,t){let o=e.state.facet(Se);return o.length?o[0](t):x.mac?!t.altKey:!t.ctrlKey}(e,t)?{from:s.from,to:s.to}:null,i={from:n,insert:o},c=e.state.changes(a?[a,i]:i);e.focus(),e.dispatch({changes:c,selection:{anchor:c.mapPos(n,-1),head:c.mapPos(n,1)},userEvent:a?"move.drop":"input.drop"}),e.inputState.draggedContent=null}co.dragstart=(e,t)=>{let{selection:{main:o}}=e.state;if(t.target.draggable){let n=e.docView.tile.nearest(t.target);if(n&&n.isWidget()){let e=n.posAtStart,t=e+n.length;(e>=o.to||t<=o.from)&&(o=r.OF.range(e,t))}}let{inputState:n}=e;return n.mouseSelection&&(n.mouseSelection.dragging=!0),n.draggedContent=o,t.dataTransfer&&(t.dataTransfer.setData("Text",uo(e.state,Ce,e.state.sliceDoc(o.from,o.to))),t.dataTransfer.effectAllowed="copyMove"),!1},co.dragend=e=>(e.inputState.draggedContent=null,!1),co.drop=(e,t)=>{if(!t.dataTransfer)return!1;if(e.state.readOnly)return!0;let o=t.dataTransfer.files;if(o&&o.length){let r=Array(o.length),n=0,s=()=>{++n==o.length&&yo(e,t,r.filter(e=>null!=e).join(e.state.lineBreak),!1)};for(let e=0;e{/[\x00-\x08\x0e-\x1f]{2}/.test(t.result)||(r[e]=t.result),s()},t.readAsText(o[e])}return!0}{let o=t.dataTransfer.getData("Text");if(o)return yo(e,t,o,!0),!0}return!1},co.paste=(e,t)=>{if(e.state.readOnly)return!0;e.observer.flush();let o=po?null:t.clipboardData;return o?(ho(e,o.getData("text/plain")||o.getData("text/uri-list")),!0):(function(e){let t=e.dom.parentNode;if(!t)return;let o=t.appendChild(document.createElement("textarea"));o.style.cssText="position: fixed; left: -10000px; top: 10px",o.focus(),setTimeout(()=>{e.focus(),o.remove(),ho(e,o.value)},50)}(e),!1)};let ko=null;co.copy=co.cut=(e,t)=>{if(!N(e.contentDOM,e.observer.selectionRange))return!1;let{text:o,ranges:r,linewise:n}=function(e){let t=[],o=[],r=!1;for(let r of e.selection.ranges)r.empty||(t.push(e.sliceDoc(r.from,r.to)),o.push(r));if(!t.length){let n=-1;for(let{from:r}of e.selection.ranges){let s=e.doc.lineAt(r);s.number>n&&(t.push(s.text),o.push({from:s.from,to:Math.min(e.doc.length,s.to+1)})),n=s.number}r=!0}return{text:uo(e,Ce,t.join(e.lineBreak)),ranges:o,linewise:r}}(e.state);if(!o&&!n)return!1;ko=n?o:null,"cut"!=t.type||e.state.readOnly||e.dispatch({changes:r,scrollIntoView:!0,userEvent:"delete.cut"});let s=po?null:t.clipboardData;return s?(s.clearData(),s.setData("text/plain",o),!0):(function(e,t){let o=e.dom.parentNode;if(!o)return;let r=o.appendChild(document.createElement("textarea"));r.style.cssText="position: fixed; left: -10000px; top: 10px",r.value=t,r.focus(),r.selectionEnd=t.length,r.selectionStart=0,setTimeout(()=>{r.remove(),e.focus()},50)}(e,o),!1)};const xo=r.YH.define();function _o(e,t){let o=[];for(let r of e.facet(Ee)){let n=r(e,t);n&&o.push(n)}return o.length?e.update({effects:o,annotations:xo.of(!0)}):null}function wo(e){setTimeout(()=>{let t=e.hasFocus;if(t!=e.inputState.notifiedFocused){let o=_o(e.state,t);o?e.dispatch(o):e.update([])}},10)}lo.focus=e=>{e.inputState.lastFocusTime=Date.now(),e.scrollDOM.scrollTop||!e.inputState.lastScrollTop&&!e.inputState.lastScrollLeft||(e.scrollDOM.scrollTop=e.inputState.lastScrollTop,e.scrollDOM.scrollLeft=e.inputState.lastScrollLeft),wo(e)},lo.blur=e=>{e.observer.clearSelectionRange(),wo(e)},lo.compositionstart=lo.compositionupdate=e=>{e.observer.editContext||(null==e.inputState.compositionFirstChange&&(e.inputState.compositionFirstChange=!0),e.inputState.composing<0&&(e.inputState.composing=0))},lo.compositionend=e=>{e.observer.editContext||(e.inputState.composing=-1,e.inputState.compositionEndedAt=Date.now(),e.inputState.compositionPendingKey=!0,e.inputState.compositionPendingChange=e.observer.pendingRecords().length>0,e.inputState.compositionFirstChange=null,x.chrome&&x.android?e.observer.flushSoon():e.inputState.compositionPendingChange?Promise.resolve().then(()=>e.observer.flush()):setTimeout(()=>{e.inputState.composing<0&&e.docView.hasComposition&&e.update([])},50))},lo.contextmenu=e=>{e.inputState.lastContextMenu=Date.now()},co.beforeinput=(e,t)=>{var o,r;if("insertText"!=t.inputType&&"insertCompositionText"!=t.inputType||(e.inputState.insertingText=t.data,e.inputState.insertingTextAt=Date.now()),"insertReplacementText"==t.inputType&&e.observer.editContext){let r=null===(o=t.dataTransfer)||void 0===o?void 0:o.getData("text/plain"),n=t.getTargetRanges();if(r&&n.length){let t=n[0],o=e.posAtDOM(t.startContainer,t.startOffset),s=e.posAtDOM(t.endContainer,t.endOffset);return Ht(e,{from:o,to:s,insert:e.state.toText(r)},null),!0}}let n;if(x.chrome&&x.android&&(n=ro.find(e=>e.inputType==t.inputType))&&(e.observer.delayAndroidKey(n.key,n.keyCode),"Backspace"==n.key||"Delete"==n.key)){let t=(null===(r=window.visualViewport)||void 0===r?void 0:r.height)||0;setTimeout(()=>{var o;((null===(o=window.visualViewport)||void 0===o?void 0:o.height)||0)>t+10&&e.hasFocus&&(e.contentDOM.blur(),e.focus())},100)}return x.ios&&"deleteContentForward"==t.inputType&&e.observer.flushSoon(),x.safari&&"insertText"==t.inputType&&e.inputState.composing>=0&&setTimeout(()=>lo.compositionend(e,t),20),!1};const $o=new Set;const So=["pre-wrap","normal","pre-line","break-spaces"];let Qo=!1;function zo(){Qo=!1}class Po{constructor(e){this.lineWrapping=e,this.doc=r.EY.empty,this.heightSamples={},this.lineHeight=14,this.charWidth=7,this.textHeight=14,this.lineLength=30}heightForGap(e,t){let o=this.doc.lineAt(t).number-this.doc.lineAt(e).number+1;return this.lineWrapping&&(o+=Math.max(0,Math.ceil((t-e-o*this.lineLength*.5)/this.lineLength))),this.lineHeight*o}heightForLine(e){if(!this.lineWrapping)return this.lineHeight;return(1+Math.max(0,Math.ceil((e-this.lineLength)/Math.max(1,this.lineLength-5))))*this.lineHeight}setDoc(e){return this.doc=e,this}mustRefreshForWrapping(e){return So.indexOf(e)>-1!=this.lineWrapping}mustRefreshForHeights(e){let t=!1;for(let o=0;o-1,i=Math.abs(t-this.lineHeight)>.3||this.lineWrapping!=a||Math.abs(o-this.charWidth)>.1;if(this.lineWrapping=a,this.lineHeight=t,this.charWidth=o,this.textHeight=r,this.lineLength=n,i){this.heightSamples={};for(let e=0;e0}set outdated(e){this.flags=(e?2:0)|-3&this.flags}setHeight(e){this.height!=e&&(Math.abs(this.height-e)>Co&&(Qo=!0),this.height=e)}replace(e,t,o){return Ro.of(o)}decomposeLeft(e,t){t.push(this)}decomposeRight(e,t){t.push(this)}applyChanges(e,t,o,r){let n=this,s=o.doc;for(let a=r.length-1;a>=0;a--){let{fromA:i,toA:c,fromB:d,toB:l}=r[a],p=n.lineAt(i,Mo.ByPosNoHeight,o.setDoc(t),0,0),u=p.to>=c?p:n.lineAt(c,Mo.ByPosNoHeight,o,0,0);for(l+=u.to-c,c=u.to;a>0&&p.from<=r[a-1].toA;)i=r[a-1].fromA,d=r[a-1].fromB,a--,i2*n){let n=e[t-1];n.break?e.splice(--t,1,n.left,null,n.right):e.splice(--t,1,n.left,n.right),o+=1+n.break,r-=n.size}else{if(!(n>2*r))break;{let t=e[o];t.break?e.splice(o,1,t.left,null,t.right):e.splice(o,1,t.left,t.right),o+=2+t.break,n-=t.size}}else if(r=n&&s(this.lineAt(0,Mo.ByPos,o,r,n))}setMeasuredHeight(e){let t=e.heights[e.index++];t<0?(this.spaceAbove=-t,t=e.heights[e.index++]):this.spaceAbove=0,this.setHeight(t)}updateHeight(e,t=0,o=!1,r){return r&&r.from<=t&&r.more&&this.setMeasuredHeight(r),this.outdated=!1,this}toString(){return`block(${this.length})`}}class Io extends qo{constructor(e,t,o){super(e,t,null),this.collapsed=0,this.widgetHeight=0,this.breaks=0,this.spaceAbove=o}mainBlock(e,t){return new Eo(t,this.length,e+this.spaceAbove,this.height-this.spaceAbove,this.breaks)}replace(e,t,o){let r=o[0];return 1==o.length&&(r instanceof Io||r instanceof No&&4&r.flags)&&Math.abs(this.length-r.length)<10?(r instanceof No?r=new Io(r.length,this.height,this.spaceAbove):r.height=this.height,this.outdated||(r.outdated=!1),r):Ro.of(o)}updateHeight(e,t=0,o=!1,r){return r&&r.from<=t&&r.more?this.setMeasuredHeight(r):(o||this.outdated)&&(this.spaceAbove=0,this.setHeight(Math.max(this.widgetHeight,e.heightForLine(this.length-this.collapsed))+this.breaks*e.lineHeight)),this.outdated=!1,this}toString(){return`line(${this.length}${this.collapsed?-this.collapsed:""}${this.widgetHeight?":"+this.widgetHeight:""})`}}class No extends Ro{constructor(e){super(e,0)}heightMetrics(e,t){let o,r=e.doc.lineAt(t).number,n=e.doc.lineAt(t+this.length).number,s=n-r+1,a=0;if(e.lineWrapping){let t=Math.min(this.height,e.lineHeight*s);o=t/s,this.length>s+1&&(a=(this.height-t)/(this.length-s-1))}else o=this.height/s;return{firstLine:r,lastLine:n,perLine:o,perChar:a}}blockAt(e,t,o,r){let{firstLine:n,lastLine:s,perLine:a,perChar:i}=this.heightMetrics(t,r);if(t.lineWrapping){let n=r+(e0){let e=o[o.length-1];e instanceof No?o[o.length-1]=new No(e.length+r):o.push(null,new No(r-1))}if(e>0){let t=o[0];t instanceof No?o[0]=new No(e+t.length):o.unshift(new No(e-1),null)}return Ro.of(o)}decomposeLeft(e,t){t.push(new No(e-1),null)}decomposeRight(e,t){t.push(null,new No(this.length-e-1))}updateHeight(e,t=0,o=!1,r){let n=t+this.length;if(r&&r.from<=t+this.length&&r.more){let o=[],s=Math.max(t,r.from),a=-1;for(r.from>t&&o.push(new No(r.from-t-1).updateHeight(e,t));s<=n&&r.more;){let t=e.doc.lineAt(s).length;o.length&&o.push(null);let n=r.heights[r.index++],i=0;n<0&&(i=-n,n=r.heights[r.index++]),-1==a?a=n:Math.abs(n-a)>=Co&&(a=-2);let c=new Io(t,n,i);c.outdated=!1,o.push(c),s+=t+1}s<=n&&o.push(null,new No(n-s).updateHeight(e,s));let i=Ro.of(o);return(a<0||Math.abs(i.height-this.height)>=Co||Math.abs(a-this.heightMetrics(e,t).perLine)>=Co)&&(Qo=!0),Ao(this,i)}return(o||this.outdated)&&(this.setHeight(e.heightForGap(t,t+this.length)),this.outdated=!1),this}toString(){return`gap(${this.length})`}}class Do extends Ro{constructor(e,t,o){super(e.length+t+o.length,e.height+o.height,t|(e.outdated||o.outdated?2:0)),this.left=e,this.right=o,this.size=e.size+o.size}get break(){return 1&this.flags}blockAt(e,t,o,r){let n=o+this.left.height;return ea))return c;let d=t==Mo.ByPosNoHeight?Mo.ByPosNoHeight:Mo.ByPos;return i?c.join(this.right.lineAt(a,d,o,s,a)):this.left.lineAt(a,d,o,r,n).join(c)}forEachLine(e,t,o,r,n,s){let a=r+this.left.height,i=n+this.left.length+this.break;if(this.break)e=i&&this.right.forEachLine(e,t,o,a,i,s);else{let c=this.lineAt(i,Mo.ByPos,o,r,n);e=e&&c.from<=t&&s(c),t>c.to&&this.right.forEachLine(c.to+1,t,o,a,i,s)}}replace(e,t,o){let r=this.left.length+this.break;if(tthis.left.length)return this.balanced(this.left,this.right.replace(e-r,t-r,o));let n=[];e>0&&this.decomposeLeft(e,n);let s=n.length;for(let e of o)n.push(e);if(e>0&&Lo(n,s-1),t=o&&t.push(null)),e>o&&this.right.decomposeLeft(e-o,t)}decomposeRight(e,t){let o=this.left.length,r=o+this.break;if(e>=r)return this.right.decomposeRight(e-r,t);e2*t.size||t.size>2*e.size?Ro.of(this.break?[e,null,t]:[e,t]):(this.left=Ao(this.left,e),this.right=Ao(this.right,t),this.setHeight(e.height+t.height),this.outdated=e.outdated||t.outdated,this.size=e.size+t.size,this.length=e.length+this.break+t.length,this)}updateHeight(e,t=0,o=!1,r){let{left:n,right:s}=this,a=t+n.length+this.break,i=null;return r&&r.from<=t+n.length&&r.more?i=n=n.updateHeight(e,t,o,r):n.updateHeight(e,t,o),r&&r.from<=a+s.length&&r.more?i=s=s.updateHeight(e,a,o,r):s.updateHeight(e,a,o),i?this.balanced(n,s):(this.height=this.left.height+this.right.height,this.outdated=!1,this)}toString(){return this.left+(this.break?" ":"-")+this.right}}function Lo(e,t){let o,r;null==e[t]&&(o=e[t-1])instanceof No&&(r=e[t+1])instanceof No&&e.splice(t-1,3,new No(o.length+1+r.length))}class Vo{constructor(e,t){this.pos=e,this.oracle=t,this.nodes=[],this.lineStart=-1,this.lineEnd=-1,this.covering=null,this.writtenTo=e}get isCovered(){return this.covering&&this.nodes[this.nodes.length-1]==this.covering}span(e,t){if(this.lineStart>-1){let e=Math.min(t,this.lineEnd),o=this.nodes[this.nodes.length-1];o instanceof Io?o.length+=e-this.pos:(e>this.pos||!this.isCovered)&&this.nodes.push(new Io(e-this.pos,-1,0)),this.writtenTo=e,t>e&&(this.nodes.push(null),this.writtenTo++,this.lineStart=-1)}this.pos=t}point(e,t,o){if(e=5)&&this.addLineDeco(r,n,s)}else t>e&&this.span(e,t);this.lineEnd>-1&&this.lineEnd-1)return;let{from:e,to:t}=this.oracle.doc.lineAt(this.pos);this.lineStart=e,this.lineEnd=t,this.writtenToe&&this.nodes.push(new Io(this.pos-e,-1,0)),this.writtenTo=this.pos}blankContent(e,t){let o=new No(t-e);return this.oracle.doc.lineAt(e).to==t&&(o.flags|=4),o}ensureLine(){this.enterLine();let e=this.nodes.length?this.nodes[this.nodes.length-1]:null;if(e instanceof Io)return e;let t=new Io(0,-1,0);return this.nodes.push(t),t}addBlock(e){this.enterLine();let t=e.deco;t&&t.startSide>0&&!this.isCovered&&this.ensureLine(),this.nodes.push(e),this.writtenTo=this.pos=this.pos+e.length,t&&t.endSide>0&&(this.covering=e)}addLineDeco(e,t,o){let r=this.ensureLine();r.length+=o,r.collapsed+=o,r.widgetHeight=Math.max(r.widgetHeight,e),r.breaks+=t,this.writtenTo=this.pos=this.pos+o}finish(e){let t=0==this.nodes.length?null:this.nodes[this.nodes.length-1];!(this.lineStart>-1)||t instanceof Io||this.isCovered?(this.writtenToo.clientHeight||o.scrollWidth>o.clientWidth)&&"visible"!=r.overflow){let r=o.getBoundingClientRect();s=Math.max(s,r.left),a=Math.min(a,r.right),i=Math.max(i,r.top),c=Math.min(t==e.parentNode?n.innerHeight:c,r.bottom)}t="absolute"==r.position||"fixed"==r.position?o.offsetParent:o.parentNode}else{if(11!=t.nodeType)break;t=t.host}return{left:s-o.left,right:Math.max(s,a)-o.left,top:i-(o.top+t),bottom:Math.max(i,c)-(o.top+t)}}function Uo(e,t){let o=e.getBoundingClientRect();return{left:0,right:o.right-o.left,top:t,bottom:o.bottom-(o.top+t)}}class jo{constructor(e,t,o,r){this.from=e,this.to=t,this.size=o,this.displaySize=r}static same(e,t){if(e.length!=t.length)return!1;for(let o=0;o"function"!=typeof e&&"cm-lineWrapping"==e.class);this.heightOracle=new Po(t),this.stateDeco=Jo(e),this.heightMap=Ro.empty().applyChanges(this.stateDeco,r.EY.empty,this.heightOracle.setDoc(e.doc),[new rt(0,0,0,e.doc.length)]);for(let e=0;e<2&&(this.viewport=this.getViewport(0,null),this.updateForViewport());e++);this.updateViewportLines(),this.lineGaps=this.ensureLineGaps([]),this.lineGapDeco=T.set(this.lineGaps.map(e=>e.draw(this,!1))),this.computeVisibleRanges()}updateForViewport(){let e=[this.viewport],{main:t}=this.state.selection;for(let o=0;o<=1;o++){let r=o?t.head:t.anchor;if(!e.some(({from:e,to:t})=>r>=e&&r<=t)){let{from:t,to:o}=this.lineBlockAt(r);e.push(new Fo(t,o))}}return this.viewports=e.sort((e,t)=>e.from-t.from),this.updateScaler()}updateScaler(){let e=this.scaler;return this.scaler=this.heightMap.height<=7e6?Ko:new er(this.heightOracle,this.heightMap,this.viewports),e.eq(this.scaler)?0:2}updateViewportLines(){this.viewportLines=[],this.heightMap.forEachLine(this.viewport.from,this.viewport.to,this.heightOracle.setDoc(this.state.doc),0,0,e=>{this.viewportLines.push(tr(e,this.scaler))})}update(e,t=null){this.state=e.state;let o=this.stateDeco;this.stateDeco=Jo(this.state);let n=e.changedRanges,s=rt.extendWithRanges(n,function(e,t,o){let n=new Zo;return r.om.compare(e,t,o,n,0),n.changes}(o,this.stateDeco,e?e.changes:r.VR.empty(this.state.doc.length))),a=this.heightMap.height,i=this.scrolledToBottom?null:this.scrollAnchorAt(this.scrollTop);zo(),this.heightMap=this.heightMap.applyChanges(this.stateDeco,e.startState.doc,this.heightOracle.setDoc(this.state.doc),s),(this.heightMap.height!=a||Qo)&&(e.flags|=2),i?(this.scrollAnchorPos=e.changes.mapPos(i.from,-1),this.scrollAnchorHeight=i.top):(this.scrollAnchorPos=-1,this.scrollAnchorHeight=a);let c=s.length?this.mapViewport(this.viewport,e.changes):this.viewport;(t&&(t.range.headc.to)||!this.viewportIsAppropriate(c))&&(c=this.getViewport(0,t));let d=c.from!=this.viewport.from||c.to!=this.viewport.to;this.viewport=c,e.flags|=this.updateForViewport(),(d||!e.changes.empty||2&e.flags)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>4e3)&&this.updateLineGaps(this.ensureLineGaps(this.mapLineGaps(this.lineGaps,e.changes))),e.flags|=this.computeVisibleRanges(e.changes),t&&(this.scrollTarget=t),!this.mustEnforceCursorAssoc&&(e.selectionSet||e.focusChanged)&&e.view.lineWrapping&&e.state.selection.main.empty&&e.state.selection.main.assoc&&!e.state.facet(Ae)&&(this.mustEnforceCursorAssoc=!0)}measure(e){let t=e.contentDOM,o=window.getComputedStyle(t),n=this.heightOracle,s=o.whiteSpace;this.defaultTextDirection="rtl"==o.direction?se.RTL:se.LTR;let a=this.heightOracle.mustRefreshForWrapping(s)||this.mustMeasureContent,i=t.getBoundingClientRect(),c=a||this.mustMeasureContent||this.contentDOMHeight!=i.height;this.contentDOMHeight=i.height,this.mustMeasureContent=!1;let d=0,l=0;if(i.width&&i.height){let{scaleX:e,scaleY:o}=B(t,i);(e>.005&&Math.abs(this.scaleX-e)>.005||o>.005&&Math.abs(this.scaleY-o)>.005)&&(this.scaleX=e,this.scaleY=o,d|=16,a=c=!0)}let p=(parseInt(o.paddingTop)||0)*this.scaleY,u=(parseInt(o.paddingBottom)||0)*this.scaleY;this.paddingTop==p&&this.paddingBottom==u||(this.paddingTop=p,this.paddingBottom=u,d|=18),this.editorWidth!=e.scrollDOM.clientWidth&&(n.lineWrapping&&(c=!0),this.editorWidth=e.scrollDOM.clientWidth,d|=16);let h=e.scrollDOM.scrollTop*this.scaleY;this.scrollTop!=h&&(this.scrollAnchorHeight=-1,this.scrollTop=h),this.scrolledToBottom=te(e.scrollDOM);let f=(this.printing?Uo:Yo)(t,this.paddingTop),m=f.top-this.pixelViewport.top,v=f.bottom-this.pixelViewport.bottom;this.pixelViewport=f;let g=this.pixelViewport.bottom>this.pixelViewport.top&&this.pixelViewport.right>this.pixelViewport.left;if(g!=this.inView&&(this.inView=g,g&&(c=!0)),!this.inView&&!this.scrollTarget&&!function(e){let t=e.getBoundingClientRect(),o=e.ownerDocument.defaultView||window;return t.left0&&t.top0}(e.dom))return 0;let b=i.width;if(this.contentDOMWidth==b&&this.editorHeight==e.scrollDOM.clientHeight||(this.contentDOMWidth=i.width,this.editorHeight=e.scrollDOM.clientHeight,d|=16),c){let t=e.docView.measureVisibleLineHeights(this.viewport);if(n.mustRefreshForHeights(t)&&(a=!0),a||n.lineWrapping&&Math.abs(b-this.contentDOMWidth)>n.charWidth){let{lineHeight:o,charWidth:r,textHeight:i}=e.docView.measureTextSize();a=o>0&&n.refresh(s,o,r,i,Math.max(5,b/r),t),a&&(e.docView.minWidth=0,d|=16)}m>0&&v>0?l=Math.max(m,v):m<0&&v<0&&(l=Math.min(m,v)),zo();for(let o of this.viewports){let s=o.from==this.viewport.from?t:e.docView.measureVisibleLineHeights(o);this.heightMap=(a?Ro.empty().applyChanges(this.stateDeco,r.EY.empty,this.heightOracle,[new rt(0,0,0,e.state.doc.length)]):this.heightMap).updateHeight(n,0,a,new To(o.from,s))}Qo&&(d|=2)}let O=!this.viewportIsAppropriate(this.viewport,l)||this.scrollTarget&&(this.scrollTarget.range.headthis.viewport.to);return O&&(2&d&&(d|=this.updateScaler()),this.viewport=this.getViewport(l,this.scrollTarget),d|=this.updateForViewport()),(2&d||O)&&this.updateViewportLines(),(this.lineGaps.length||this.viewport.to-this.viewport.from>4e3)&&this.updateLineGaps(this.ensureLineGaps(a?[]:this.lineGaps,e)),d|=this.computeVisibleRanges(),this.mustEnforceCursorAssoc&&(this.mustEnforceCursorAssoc=!1,e.docView.enforceCursorAssoc()),d}get visibleTop(){return this.scaler.fromDOM(this.pixelViewport.top)}get visibleBottom(){return this.scaler.fromDOM(this.pixelViewport.bottom)}getViewport(e,t){let o=.5-Math.max(-.5,Math.min(.5,e/1e3/2)),r=this.heightMap,n=this.heightOracle,{visibleTop:s,visibleBottom:a}=this,i=new Fo(r.lineAt(s-1e3*o,Mo.ByHeight,n,0,0).from,r.lineAt(a+1e3*(1-o),Mo.ByHeight,n,0,0).to);if(t){let{head:e}=t.range;if(ei.to){let o,s=Math.min(this.editorHeight,this.pixelViewport.bottom-this.pixelViewport.top),a=r.lineAt(e,Mo.ByPos,n,0,0);o="center"==t.y?(a.top+a.bottom)/2-s/2:"start"==t.y||"nearest"==t.y&&e=a+Math.max(10,Math.min(o,250)))&&r>s-2e3&&n>1,a=n<<1;if(this.defaultTextDirection!=se.LTR&&!o)return[];let i=[],c=(n,a,d,l)=>{if(a-nn&&ee.from>=d.from&&e.to<=d.to&&Math.abs(e.from-n)e.fromt));if(!h){if(ae.from<=a&&e.to>=a)){let e=t.moveToLineBoundary(r.OF.cursor(a),!1,!0).head;e>n&&(a=e)}let e=this.gapSize(d,n,a,l);h=new jo(n,a,e,o||e<2e6?e:2e6)}i.push(h)},d=t=>{if(t.lengths&&(n.push({from:s,to:e}),a+=e-s),s=t}},20),s2e6)for(let o of e)o.from>=t.from&&o.fromt.from&&c(t.from,i,t,s),de.draw(this,this.heightOracle.lineWrapping))))}computeVisibleRanges(e){let t=this.stateDeco;this.lineGaps.length&&(t=t.concat(this.lineGapDeco));let o=[];r.om.spans(t,this.viewport.from,this.viewport.to,{span(e,t){o.push({from:e,to:t})},point(){}},20);let n=0;if(o.length!=this.visibleRanges.length)n=12;else for(let t=0;t=this.viewport.from&&e<=this.viewport.to&&this.viewportLines.find(t=>t.from<=e&&t.to>=e)||tr(this.heightMap.lineAt(e,Mo.ByPos,this.heightOracle,0,0),this.scaler)}lineBlockAtHeight(e){return e>=this.viewportLines[0].top&&e<=this.viewportLines[this.viewportLines.length-1].bottom&&this.viewportLines.find(t=>t.top<=e&&t.bottom>=e)||tr(this.heightMap.lineAt(this.scaler.fromDOM(e),Mo.ByHeight,this.heightOracle,0,0),this.scaler)}scrollAnchorAt(e){let t=this.lineBlockAtHeight(e+8);return t.from>=this.viewport.from||this.viewportLines[0].top-e>200?t:this.viewportLines[0]}elementAtHeight(e){return tr(this.heightMap.blockAt(this.scaler.fromDOM(e),this.heightOracle,0,0),this.scaler)}get docHeight(){return this.scaler.toDOM(this.heightMap.height)}get contentHeight(){return this.docHeight+this.paddingTop+this.paddingBottom}}class Fo{constructor(e,t){this.from=e,this.to=t}}function Go({total:e,ranges:t},o){if(o<=0)return t[0].from;if(o>=1)return t[t.length-1].to;let r=Math.floor(e*o);for(let e=0;;e++){let{from:o,to:n}=t[e],s=n-o;if(r<=s)return o+r;r-=s}}function Ho(e,t){let o=0;for(let{from:r,to:n}of e.ranges){if(t<=n){o+=t-r;break}o+=n-r}return o/e.total}const Ko={toDOM(e){return e},fromDOM(e){return e},scale:1,eq(e){return e==this}};function Jo(e){let t=e.facet(Be).filter(e=>"function"!=typeof e),o=e.facet(Ge).filter(e=>"function"!=typeof e);return o.length&&t.push(r.om.join(o)),t}class er{constructor(e,t,o){let r=0,n=0,s=0;this.viewports=o.map(({from:o,to:n})=>{let s=t.lineAt(o,Mo.ByPos,e,0,0).top,a=t.lineAt(n,Mo.ByPos,e,0,0).bottom;return r+=a-s,{from:o,to:n,top:s,bottom:a,domTop:0,domBottom:0}}),this.scale=(7e6-r)/(t.height-r);for(let e of this.viewports)e.domTop=s+(e.top-n)*this.scale,s=e.domBottom=e.domTop+(e.bottom-e.top),n=e.bottom}toDOM(e){for(let t=0,o=0,r=0;;t++){let n=tt.from==e.viewports[o].from&&t.to==e.viewports[o].to))}}function tr(e,t){if(1==t.scale)return e;let o=t.toDOM(e.top),r=t.toDOM(e.bottom);return new Eo(e.from,e.length,o,r-o,Array.isArray(e._content)?e._content.map(e=>tr(e,t)):e._content)}const or=r.sj.define({combine:e=>e.join(" ")}),rr=r.sj.define({combine:e=>e.indexOf(!0)>-1}),nr=n.G.newName(),sr=n.G.newName(),ar=n.G.newName(),ir={"&light":"."+sr,"&dark":"."+ar};function cr(e,t,o){return new n.G(t,{finish(t){return/&/.test(t)?t.replace(/&\w*/,t=>{if("&"==t)return e;if(!o||!o[t])throw new RangeError(`Unsupported selector: ${t}`);return o[t]}):e+" "+t}})}const dr=cr("."+nr,{"&":{position:"relative !important",boxSizing:"border-box","&.cm-focused":{outline:"1px dotted #212121"},display:"flex !important",flexDirection:"column"},".cm-scroller":{display:"flex !important",alignItems:"flex-start !important",fontFamily:"monospace",lineHeight:1.4,height:"100%",overflowX:"auto",position:"relative",zIndex:0,overflowAnchor:"none"},".cm-content":{margin:0,flexGrow:2,flexShrink:0,display:"block",whiteSpace:"pre",wordWrap:"normal",boxSizing:"border-box",minHeight:"100%",padding:"4px 0",outline:"none","&[contenteditable=true]":{WebkitUserModify:"read-write-plaintext-only"}},".cm-lineWrapping":{whiteSpace_fallback:"pre-wrap",whiteSpace:"break-spaces",wordBreak:"break-word",overflowWrap:"anywhere",flexShrink:1},"&light .cm-content":{caretColor:"black"},"&dark .cm-content":{caretColor:"white"},".cm-line":{display:"block",padding:"0 2px 0 6px"},".cm-layer":{position:"absolute",left:0,top:0,contain:"size style","& > *":{position:"absolute"}},"&light .cm-selectionBackground":{background:"#d9d9d9"},"&dark .cm-selectionBackground":{background:"#222"},"&light.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground":{background:"#d7d4f0"},"&dark.cm-focused > .cm-scroller > .cm-selectionLayer .cm-selectionBackground":{background:"#233"},".cm-cursorLayer":{pointerEvents:"none"},"&.cm-focused > .cm-scroller > .cm-cursorLayer":{animation:"steps(1) cm-blink 1.2s infinite"},"@keyframes cm-blink":{"0%":{},"50%":{opacity:0},"100%":{}},"@keyframes cm-blink2":{"0%":{},"50%":{opacity:0},"100%":{}},".cm-cursor, .cm-dropCursor":{borderLeft:"1.2px solid black",marginLeft:"-0.6px",pointerEvents:"none"},".cm-cursor":{display:"none"},"&dark .cm-cursor":{borderLeftColor:"#ddd"},".cm-dropCursor":{position:"absolute"},"&.cm-focused > .cm-scroller > .cm-cursorLayer .cm-cursor":{display:"block"},".cm-iso":{unicodeBidi:"isolate"},".cm-announced":{position:"fixed",top:"-10000px"},"@media print":{".cm-announced":{display:"none"}},"&light .cm-activeLine":{backgroundColor:"#cceeff44"},"&dark .cm-activeLine":{backgroundColor:"#99eeff33"},"&light .cm-specialChar":{color:"red"},"&dark .cm-specialChar":{color:"#f78"},".cm-gutters":{flexShrink:0,display:"flex",height:"100%",boxSizing:"border-box",zIndex:200},".cm-gutters-before":{insetInlineStart:0},".cm-gutters-after":{insetInlineEnd:0},"&light .cm-gutters":{backgroundColor:"#f5f5f5",color:"#6c6c6c",border:"0px solid 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label":{fontSize:"80%"}},".cm-dialog-close":{position:"absolute",top:"3px",right:"4px",backgroundColor:"inherit",border:"none",font:"inherit",fontSize:"14px",padding:"0"},".cm-tab":{display:"inline-block",overflow:"hidden",verticalAlign:"bottom"},".cm-widgetBuffer":{verticalAlign:"text-top",height:"1em",width:0,display:"inline"},".cm-placeholder":{color:"#888",display:"inline-block",verticalAlign:"top",userSelect:"none"},".cm-highlightSpace":{backgroundImage:"radial-gradient(circle at 50% 55%, #aaa 20%, transparent 5%)",backgroundPosition:"center"},".cm-highlightTab":{backgroundImage:'url(\'data:image/svg+xml,\')',backgroundSize:"auto 100%",backgroundPosition:"right 90%",backgroundRepeat:"no-repeat"},".cm-trailingSpace":{backgroundColor:"#ff332255"},".cm-button":{verticalAlign:"middle",color:"inherit",fontSize:"70%",padding:".2em 1em",borderRadius:"1px"},"&light .cm-button":{backgroundImage:"linear-gradient(#eff1f5, #d9d9df)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#b4b4b4, #d0d3d6)"}},"&dark .cm-button":{backgroundImage:"linear-gradient(#393939, #111)",border:"1px solid #888","&:active":{backgroundImage:"linear-gradient(#111, #333)"}},".cm-textfield":{verticalAlign:"middle",color:"inherit",fontSize:"70%",border:"1px solid silver",padding:".2em .5em"},"&light .cm-textfield":{backgroundColor:"white"},"&dark .cm-textfield":{border:"1px solid #555",backgroundColor:"inherit"}},ir),lr={childList:!0,characterData:!0,subtree:!0,attributes:!0,characterDataOldValue:!0},pr=x.ie&&x.ie_version<=11;class ur{constructor(e){this.view=e,this.active=!1,this.editContext=null,this.selectionRange=new F,this.selectionChanged=!1,this.delayedFlush=-1,this.resizeTimeout=-1,this.queue=[],this.delayedAndroidKey=null,this.flushingAndroidKey=-1,this.lastChange=0,this.scrollTargets=[],this.intersection=null,this.resizeScroll=null,this.intersecting=!1,this.gapIntersection=null,this.gaps=[],this.printQuery=null,this.parentCheck=-1,this.dom=e.contentDOM,this.observer=new MutationObserver(t=>{for(let e of t)this.queue.push(e);(x.ie&&x.ie_version<=11||x.ios&&e.composing)&&t.some(e=>"childList"==e.type&&e.removedNodes.length||"characterData"==e.type&&e.oldValue.length>e.target.nodeValue.length)?this.flushSoon():this.flush()}),!window.EditContext||!x.android||!1===e.constructor.EDIT_CONTEXT||x.chrome&&x.chrome_version<126||(this.editContext=new mr(e),e.state.facet(Le)&&(e.contentDOM.editContext=this.editContext.editContext)),pr&&(this.onCharData=e=>{this.queue.push({target:e.target,type:"characterData",oldValue:e.prevValue}),this.flushSoon()}),this.onSelectionChange=this.onSelectionChange.bind(this),this.onResize=this.onResize.bind(this),this.onPrint=this.onPrint.bind(this),this.onScroll=this.onScroll.bind(this),window.matchMedia&&(this.printQuery=window.matchMedia("print")),"function"==typeof ResizeObserver&&(this.resizeScroll=new ResizeObserver(()=>{var e;(null===(e=this.view.docView)||void 0===e?void 0:e.lastUpdate){this.parentCheck<0&&(this.parentCheck=setTimeout(this.listenForScroll.bind(this),1e3)),e.length>0&&e[e.length-1].intersectionRatio>0!=this.intersecting&&(this.intersecting=!this.intersecting,this.intersecting!=this.view.inView&&this.onScrollChanged(document.createEvent("Event")))},{threshold:[0,.001]}),this.intersection.observe(this.dom),this.gapIntersection=new IntersectionObserver(e=>{e.length>0&&e[e.length-1].intersectionRatio>0&&this.onScrollChanged(document.createEvent("Event"))},{})),this.listenForScroll(),this.readSelectionRange()}onScrollChanged(e){this.view.inputState.runHandlers("scroll",e),this.intersecting&&this.view.measure()}onScroll(e){this.intersecting&&this.flush(!1),this.editContext&&this.view.requestMeasure(this.editContext.measureReq),this.onScrollChanged(e)}onResize(){this.resizeTimeout<0&&(this.resizeTimeout=setTimeout(()=>{this.resizeTimeout=-1,this.view.requestMeasure()},50))}onPrint(e){("change"!=e.type&&e.type||e.matches)&&(this.view.viewState.printing=!0,this.view.measure(),setTimeout(()=>{this.view.viewState.printing=!1,this.view.requestMeasure()},500))}updateGaps(e){if(this.gapIntersection&&(e.length!=this.gaps.length||this.gaps.some((t,o)=>t!=e[o]))){this.gapIntersection.disconnect();for(let t of e)this.gapIntersection.observe(t);this.gaps=e}}onSelectionChange(e){let t=this.selectionChanged;if(!this.readSelectionRange()||this.delayedAndroidKey)return;let{view:o}=this,r=this.selectionRange;if(o.state.facet(Le)?o.root.activeElement!=this.dom:!N(this.dom,r))return;let n=r.anchorNode&&o.docView.tile.nearest(r.anchorNode);n&&n.isWidget()&&n.widget.ignoreEvent(e)?t||(this.selectionChanged=!1):(x.ie&&x.ie_version<=11||x.android&&x.chrome)&&!o.state.selection.main.empty&&r.focusNode&&L(r.focusNode,r.focusOffset,r.anchorNode,r.anchorOffset)?this.flushSoon():this.flush(!1)}readSelectionRange(){let{view:e}=this,t=q(e.root);if(!t)return!1;let o=x.safari&&11==e.root.nodeType&&e.root.activeElement==this.dom&&function(e,t){if(t.getComposedRanges){let o=t.getComposedRanges(e.root)[0];if(o)return fr(e,o)}let o=null;function r(e){e.preventDefault(),e.stopImmediatePropagation(),o=e.getTargetRanges()[0]}return e.contentDOM.addEventListener("beforeinput",r,!0),e.dom.ownerDocument.execCommand("indent"),e.contentDOM.removeEventListener("beforeinput",r,!0),o?fr(e,o):null}(this.view,t)||t;if(!o||this.selectionRange.eq(o))return!1;let r=N(this.dom,o);return r&&!this.selectionChanged&&e.inputState.lastFocusTime>Date.now()-200&&e.inputState.lastTouchTime{let e=this.delayedAndroidKey;if(e){this.clearDelayedAndroidKey(),this.view.inputState.lastKeyCode=e.keyCode,this.view.inputState.lastKeyTime=Date.now(),!this.flush()&&e.force&&ee(this.dom,e.key,e.keyCode)}};this.flushingAndroidKey=this.view.win.requestAnimationFrame(e)}this.delayedAndroidKey&&"Enter"!=e||(this.delayedAndroidKey={key:e,keyCode:t,force:this.lastChange{this.delayedFlush=-1,this.flush()}))}forceFlush(){this.delayedFlush>=0&&(this.view.win.cancelAnimationFrame(this.delayedFlush),this.delayedFlush=-1),this.flush()}pendingRecords(){for(let e of this.observer.takeRecords())this.queue.push(e);return this.queue}processRecords(){let e=this.pendingRecords();e.length&&(this.queue=[]);let t=-1,o=-1,r=!1;for(let n of e){let e=this.readMutation(n);e&&(e.typeOver&&(r=!0),-1==t?({from:t,to:o}=e):(t=Math.min(e.from,t),o=Math.max(e.to,o)))}return{from:t,to:o,typeOver:r}}readChange(){let{from:e,to:t,typeOver:o}=this.processRecords(),r=this.selectionChanged&&N(this.dom,this.selectionRange);if(e<0&&!r)return null;e>-1&&(this.lastChange=Date.now()),this.view.inputState.lastFocusTime=0,this.selectionChanged=!1;let n=new Bt(this.view,e,t,o);return this.view.docView.domChanged={newSel:n.newSel?n.newSel.main:null},n}flush(e=!0){if(this.delayedFlush>=0||this.delayedAndroidKey)return!1;e&&this.readSelectionRange();let t=this.readChange();if(!t)return this.view.requestMeasure(),!1;let o=this.view.state,r=Gt(this.view,t);return this.view.state==o&&(t.domChanged||t.newSel&&!Jt(this.view.state.selection,t.newSel.main))&&this.view.update([]),r}readMutation(e){let t=this.view.docView.tile.nearest(e.target);if(!t||t.isWidget())return null;if(t.markDirty("attributes"==e.type),"childList"==e.type){let o=hr(t,e.previousSibling||e.target.previousSibling,-1),r=hr(t,e.nextSibling||e.target.nextSibling,1);return{from:o?t.posAfter(o):t.posAtStart,to:r?t.posBefore(r):t.posAtEnd,typeOver:!1}}return"characterData"==e.type?{from:t.posAtStart,to:t.posAtEnd,typeOver:e.target.nodeValue==e.oldValue}:null}setWindow(e){e!=this.win&&(this.removeWindowListeners(this.win),this.win=e,this.addWindowListeners(this.win))}addWindowListeners(e){e.addEventListener("resize",this.onResize),this.printQuery?this.printQuery.addEventListener?this.printQuery.addEventListener("change",this.onPrint):this.printQuery.addListener(this.onPrint):e.addEventListener("beforeprint",this.onPrint),e.addEventListener("scroll",this.onScroll),e.document.addEventListener("selectionchange",this.onSelectionChange)}removeWindowListeners(e){e.removeEventListener("scroll",this.onScroll),e.removeEventListener("resize",this.onResize),this.printQuery?this.printQuery.removeEventListener?this.printQuery.removeEventListener("change",this.onPrint):this.printQuery.removeListener(this.onPrint):e.removeEventListener("beforeprint",this.onPrint),e.document.removeEventListener("selectionchange",this.onSelectionChange)}update(e){this.editContext&&(this.editContext.update(e),e.startState.facet(Le)!=e.state.facet(Le)&&(e.view.contentDOM.editContext=e.state.facet(Le)?this.editContext.editContext:null))}destroy(){var e,t,o;this.stop(),null===(e=this.intersection)||void 0===e||e.disconnect(),null===(t=this.gapIntersection)||void 0===t||t.disconnect(),null===(o=this.resizeScroll)||void 0===o||o.disconnect();for(let e of this.scrollTargets)e.removeEventListener("scroll",this.onScroll);this.removeWindowListeners(this.win),clearTimeout(this.parentCheck),clearTimeout(this.resizeTimeout),this.win.cancelAnimationFrame(this.delayedFlush),this.win.cancelAnimationFrame(this.flushingAndroidKey),this.editContext&&(this.view.contentDOM.editContext=null,this.editContext.destroy())}}function hr(e,t,o){for(;t;){let r=at.get(t);if(r&&r.parent==e)return r;let n=t.parentNode;t=n!=e.dom?n:o>0?t.nextSibling:t.previousSibling}return null}function fr(e,t){let o=t.startContainer,r=t.startOffset,n=t.endContainer,s=t.endOffset,a=e.docView.domAtPos(e.state.selection.main.anchor,1);return L(a.node,a.offset,n,s)&&([o,r,n,s]=[n,s,o,r]),{anchorNode:o,anchorOffset:r,focusNode:n,focusOffset:s}}class mr{constructor(e){this.from=0,this.to=0,this.pendingContextChange=null,this.handlers=Object.create(null),this.composing=null,this.resetRange(e.state);let t=this.editContext=new window.EditContext({text:e.state.doc.sliceString(this.from,this.to),selectionStart:this.toContextPos(Math.max(this.from,Math.min(this.to,e.state.selection.main.anchor))),selectionEnd:this.toContextPos(e.state.selection.main.head)});this.handlers.textupdate=o=>{let n=e.state.selection.main,{anchor:s,head:a}=n,i=this.toEditorPos(o.updateRangeStart),c=this.toEditorPos(o.updateRangeEnd);e.inputState.composing>=0&&!this.composing&&(this.composing={contextBase:o.updateRangeStart,editorBase:i,drifted:!1});let d=c-i>o.text.length;i==this.from&&sthis.to&&(c=s);let l=Kt(e.state.sliceDoc(i,c),o.text,(d?n.from:n.to)-i,d?"end":null);if(!l){let t=r.OF.single(this.toEditorPos(o.selectionStart),this.toEditorPos(o.selectionEnd));return void(Jt(t,n)||e.dispatch({selection:t,userEvent:"select"}))}let p={from:l.from+i,to:l.toA+i,insert:r.EY.of(o.text.slice(l.from,l.toB).split("\n"))};if((x.mac||x.android)&&p.from==a-1&&/^\. ?$/.test(o.text)&&"off"==e.contentDOM.getAttribute("autocorrect")&&(p={from:i,to:c,insert:r.EY.of([o.text.replace("."," ")])}),this.pendingContextChange=p,!e.state.readOnly){let t=this.to-this.from+(p.to-p.from+p.insert.length);Ht(e,p,r.OF.single(this.toEditorPos(o.selectionStart,t),this.toEditorPos(o.selectionEnd,t)))}this.pendingContextChange&&(this.revertPending(e.state),this.setSelection(e.state)),p.from=0&&!/[\\p{Alphabetic}\\p{Number}_]/.test(t.text.slice(Math.max(0,o.updateRangeStart-1),Math.min(t.text.length,o.updateRangeStart+1)))&&this.handlers.compositionend(o)},this.handlers.characterboundsupdate=o=>{let r=[],n=null;for(let t=this.toEditorPos(o.rangeStart),s=this.toEditorPos(o.rangeEnd);t{let o=[];for(let e of t.getTextFormats()){let t=e.underlineStyle,r=e.underlineThickness;if(!/none/i.test(t)&&!/none/i.test(r)){let n=this.toEditorPos(e.rangeStart),s=this.toEditorPos(e.rangeEnd);if(n{e.inputState.composing<0&&(e.inputState.composing=0,e.inputState.compositionFirstChange=!0)},this.handlers.compositionend=()=>{if(e.inputState.composing=-1,e.inputState.compositionFirstChange=null,this.composing){let{drifted:t}=this.composing;this.composing=null,t&&this.reset(e.state)}};for(let e in this.handlers)t.addEventListener(e,this.handlers[e]);this.measureReq={read:e=>{this.editContext.updateControlBounds(e.contentDOM.getBoundingClientRect());let t=q(e.root);t&&t.rangeCount&&this.editContext.updateSelectionBounds(t.getRangeAt(0).getBoundingClientRect())}}}applyEdits(e){let t=0,o=!1,r=this.pendingContextChange;return e.changes.iterChanges((n,s,a,i,c)=>{if(o)return;let d=c.length-(s-n);if(r&&s>=r.to){if(r.from==n&&r.to==s&&r.insert.eq(c))return r=this.pendingContextChange=null,t+=d,void(this.to+=d);r=null,this.revertPending(e.state)}if(n+=t,(s+=t)<=this.from)this.from+=d,this.to+=d;else if(nthis.to||this.to-this.from+c.length>3e4)return void(o=!0);this.editContext.updateText(this.toContextPos(n),this.toContextPos(s),c.toString()),this.to+=d}t+=d}),r&&!o&&this.revertPending(e.state),!o}update(e){let t=this.pendingContextChange,o=e.startState.selection.main;this.composing&&(this.composing.drifted||!e.changes.touchesRange(o.from,o.to)&&e.transactions.some(e=>!e.isUserEvent("input.type")&&e.changes.touchesRange(this.from,this.to)))?(this.composing.drifted=!0,this.composing.editorBase=e.changes.mapPos(this.composing.editorBase)):this.applyEdits(e)&&this.rangeIsValid(e.state)?(e.docChanged||e.selectionSet||t)&&this.setSelection(e.state):(this.pendingContextChange=null,this.reset(e.state)),(e.geometryChanged||e.docChanged||e.selectionSet)&&e.view.requestMeasure(this.measureReq)}resetRange(e){let{head:t}=e.selection.main;this.from=Math.max(0,t-1e4),this.to=Math.min(e.doc.length,t+1e4)}reset(e){this.resetRange(e),this.editContext.updateText(0,this.editContext.text.length,e.doc.sliceString(this.from,this.to)),this.setSelection(e)}revertPending(e){let t=this.pendingContextChange;this.pendingContextChange=null,this.editContext.updateText(this.toContextPos(t.from),this.toContextPos(t.from+t.insert.length),e.doc.sliceString(t.from,t.to))}setSelection(e){let{main:t}=e.selection,o=this.toContextPos(Math.max(this.from,Math.min(this.to,t.anchor))),r=this.toContextPos(t.head);this.editContext.selectionStart==o&&this.editContext.selectionEnd==r||this.editContext.updateSelection(o,r)}rangeIsValid(e){let{head:t}=e.selection.main;return!(this.from>0&&t-this.from<500||this.to3e4)}toEditorPos(e,t=this.to-this.from){e=Math.min(e,t);let o=this.composing;return o&&o.drifted?o.editorBase+(e-o.contextBase):e+this.from}toContextPos(e){let t=this.composing;return t&&t.drifted?t.contextBase+(e-t.editorBase):e-this.from}destroy(){for(let e in this.handlers)this.editContext.removeEventListener(e,this.handlers[e])}}class vr{get state(){return this.viewState.state}get viewport(){return this.viewState.viewport}get visibleRanges(){return this.viewState.visibleRanges}get inView(){return this.viewState.inView}get composing(){return!!this.inputState&&this.inputState.composing>0}get compositionStarted(){return!!this.inputState&&this.inputState.composing>=0}get root(){return this._root}get win(){return this.dom.ownerDocument.defaultView||window}constructor(e={}){var t;this.plugins=[],this.pluginMap=new Map,this.editorAttrs={},this.contentAttrs={},this.bidiCache=[],this.destroyed=!1,this.updateState=2,this.measureScheduled=-1,this.measureRequests=[],this.contentDOM=document.createElement("div"),this.scrollDOM=document.createElement("div"),this.scrollDOM.tabIndex=-1,this.scrollDOM.className="cm-scroller",this.scrollDOM.appendChild(this.contentDOM),this.announceDOM=document.createElement("div"),this.announceDOM.className="cm-announced",this.announceDOM.setAttribute("aria-live","polite"),this.dom=document.createElement("div"),this.dom.appendChild(this.announceDOM),this.dom.appendChild(this.scrollDOM),e.parent&&e.parent.appendChild(this.dom);let{dispatch:o}=e;this.dispatchTransactions=e.dispatchTransactions||o&&(e=>e.forEach(e=>o(e,this)))||(e=>this.update(e)),this.dispatch=this.dispatch.bind(this),this._root=e.root||function(e){for(;e;){if(e&&(9==e.nodeType||11==e.nodeType&&e.host))return e;e=e.assignedSlot||e.parentNode}return null}(e.parent)||document,this.viewState=new Bo(e.state||r.$t.create(e)),e.scrollTo&&e.scrollTo.is(Ie)&&(this.viewState.scrollTarget=e.scrollTo.value.clip(this.viewState.state)),this.plugins=this.state.facet(Ze).map(e=>new Ue(e));for(let e of this.plugins)e.update(this);this.observer=new ur(this),this.inputState=new eo(this),this.inputState.ensureHandlers(this.plugins),this.docView=new Pt(this),this.mountStyles(),this.updateAttrs(),this.updateState=0,this.requestMeasure(),(null===(t=document.fonts)||void 0===t?void 0:t.ready)&&document.fonts.ready.then(()=>{this.viewState.mustMeasureContent=!0,this.requestMeasure()})}dispatch(...e){let t=1==e.length&&e[0]instanceof r.ZX?e:1==e.length&&Array.isArray(e[0])?e[0]:[this.state.update(...e)];this.dispatchTransactions(t,this)}update(e){if(0!=this.updateState)throw new Error("Calls to EditorView.update are not allowed while an update is in progress");let t,o=!1,n=!1,s=this.state;for(let t of e){if(t.startState!=s)throw new RangeError("Trying to update state with a transaction that doesn't start from the previous state.");s=t.state}if(this.destroyed)return void(this.viewState.state=s);let a=this.hasFocus,i=0,c=null;e.some(e=>e.annotation(xo))?(this.inputState.notifiedFocused=a,i=1):a!=this.inputState.notifiedFocused&&(this.inputState.notifiedFocused=a,c=_o(s,a),c||(i=1));let d=this.observer.delayedAndroidKey,l=null;if(d?(this.observer.clearDelayedAndroidKey(),l=this.observer.readChange(),(l&&!this.state.doc.eq(s.doc)||!this.state.selection.eq(s.selection))&&(l=null)):this.observer.clear(),s.facet(r.$t.phrases)!=this.state.facet(r.$t.phrases))return this.setState(s);t=nt.create(this,s,e),t.flags|=i;let p=this.viewState.scrollTarget;try{this.updateState=2;for(let t of e){if(p&&(p=p.map(t.changes)),t.scrollIntoView){let{main:e}=t.state.selection;p=new qe(e.empty?e:r.OF.cursor(e.head,e.head>e.anchor?-1:1))}for(let e of t.effects)e.is(Ie)&&(p=e.value.clip(this.state))}this.viewState.update(t,p),this.bidiCache=Or.update(this.bidiCache,t.changes),t.empty||(this.updatePlugins(t),this.inputState.update(t)),o=this.docView.update(t),this.state.facet(ot)!=this.styleModules&&this.mountStyles(),n=this.updateAttrs(),this.showAnnouncements(e),this.docView.updateSelection(o,e.some(e=>e.isUserEvent("select.pointer")))}finally{this.updateState=0}if(t.startState.facet(or)!=t.state.facet(or)&&(this.viewState.mustMeasureContent=!0),(o||n||p||this.viewState.mustEnforceCursorAssoc||this.viewState.mustMeasureContent)&&this.requestMeasure(),o&&this.docViewUpdate(),!t.empty)for(let e of this.state.facet(Pe))try{e(t)}catch(e){De(this.state,e,"update listener")}(c||l)&&Promise.resolve().then(()=>{c&&this.state==c.startState&&this.dispatch(c),l&&!Gt(this,l)&&d.force&&ee(this.contentDOM,d.key,d.keyCode)})}setState(e){if(0!=this.updateState)throw new Error("Calls to EditorView.setState are not allowed while an update is in progress");if(this.destroyed)return void(this.viewState.state=e);this.updateState=2;let t=this.hasFocus;try{for(let e of this.plugins)e.destroy(this);this.viewState=new Bo(e),this.plugins=e.facet(Ze).map(e=>new Ue(e)),this.pluginMap.clear();for(let e of this.plugins)e.update(this);this.docView.destroy(),this.docView=new Pt(this),this.inputState.ensureHandlers(this.plugins),this.mountStyles(),this.updateAttrs(),this.bidiCache=[]}finally{this.updateState=0}t&&this.focus(),this.requestMeasure()}updatePlugins(e){let t=e.startState.facet(Ze),o=e.state.facet(Ze);if(t!=o){let r=[];for(let n of o){let o=t.indexOf(n);if(o<0)r.push(new Ue(n));else{let t=this.plugins[o];t.mustUpdate=e,r.push(t)}}for(let t of this.plugins)t.mustUpdate!=e&&t.destroy(this);this.plugins=r,this.pluginMap.clear()}else for(let t of this.plugins)t.mustUpdate=e;for(let e=0;e-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.observer.delayedAndroidKey)return this.measureScheduled=-1,void this.requestMeasure();this.measureScheduled=0,e&&this.observer.forceFlush();let t=null,o=this.scrollDOM,r=o.scrollTop*this.scaleY,{scrollAnchorPos:n,scrollAnchorHeight:s}=this.viewState;Math.abs(r-this.viewState.scrollTop)>1&&(s=-1),this.viewState.scrollAnchorHeight=-1;try{for(let e=0;;e++){if(s<0)if(te(o))n=-1,s=this.viewState.heightMap.height;else{let e=this.viewState.scrollAnchorAt(r);n=e.from,s=e.top}this.updateState=1;let a=this.viewState.measure(this);if(!a&&!this.measureRequests.length&&null==this.viewState.scrollTarget)break;if(e>5)break;let i=[];4&a||([this.measureRequests,i]=[i,this.measureRequests]);let c=i.map(e=>{try{return e.read(this)}catch(e){return De(this.state,e),br}}),d=nt.create(this,this.state,[]),l=!1;d.flags|=a,t?t.flags|=a:t=d,this.updateState=2,d.empty||(this.updatePlugins(d),this.inputState.update(d),this.updateAttrs(),l=this.docView.update(d),l&&this.docViewUpdate());for(let e=0;e1||e<-1){r+=e,o.scrollTop=r/this.scaleY,s=-1;continue}}}break}}}finally{this.updateState=0,this.measureScheduled=-1}if(t&&!t.empty)for(let e of this.state.facet(Pe))e(t)}get themeClasses(){return nr+" "+(this.state.facet(rr)?ar:sr)+" "+this.state.facet(or)}updateAttrs(){let e=yr(this,je,{class:"cm-editor"+(this.hasFocus?" cm-focused ":" ")+this.themeClasses}),t={spellcheck:"false",autocorrect:"off",autocapitalize:"off",writingsuggestions:"false",translate:"no",contenteditable:this.state.facet(Le)?"true":"false",class:"cm-content",style:`${x.tabSize}: ${this.state.tabSize}`,role:"textbox","aria-multiline":"true"};this.state.readOnly&&(t["aria-readonly"]="true"),yr(this,We,t);let o=this.observer.ignore(()=>{let o=S(this.contentDOM,this.contentAttrs,t),r=S(this.dom,this.editorAttrs,e);return o||r});return this.editorAttrs=e,this.contentAttrs=t,o}showAnnouncements(e){let t=!0;for(let o of e)for(let e of o.effects)if(e.is(vr.announce)){t&&(this.announceDOM.textContent=""),t=!1,this.announceDOM.appendChild(document.createElement("div")).textContent=e.value}}mountStyles(){this.styleModules=this.state.facet(ot);let e=this.state.facet(vr.cspNonce);n.G.mount(this.root,this.styleModules.concat(dr).reverse(),e?{nonce:e}:void 0)}readMeasured(){if(2==this.updateState)throw new Error("Reading the editor layout isn't allowed during an update");0==this.updateState&&this.measureScheduled>-1&&this.measure(!1)}requestMeasure(e){if(this.measureScheduled<0&&(this.measureScheduled=this.win.requestAnimationFrame(()=>this.measure())),e){if(this.measureRequests.indexOf(e)>-1)return;if(null!=e.key)for(let t=0;tt.plugin==e)||null),t&&t.update(this).value}get documentTop(){return this.contentDOM.getBoundingClientRect().top+this.viewState.paddingTop}get documentPadding(){return{top:this.viewState.paddingTop,bottom:this.viewState.paddingBottom}}get scaleX(){return this.viewState.scaleX}get scaleY(){return this.viewState.scaleY}elementAtHeight(e){return this.readMeasured(),this.viewState.elementAtHeight(e)}lineBlockAtHeight(e){return this.readMeasured(),this.viewState.lineBlockAtHeight(e)}get viewportLineBlocks(){return this.viewState.viewportLines}lineBlockAt(e){return this.viewState.lineBlockAt(e)}get contentHeight(){return this.viewState.contentHeight}moveByChar(e,t,o){return Nt(this,e,Xt(this,e,t,o))}moveByGroup(e,t){return Nt(this,e,Xt(this,e,t,t=>function(e,t,o){let n=e.state.charCategorizer(t),s=n(o);return e=>{let t=n(e);return s==r.Je.Space&&(s=t),s==t}}(this,e.head,t)))}visualLineSide(e,t){let o=this.bidiSpans(e),n=this.textDirectionAt(e.from),s=o[t?o.length-1:0];return r.OF.cursor(s.side(t,n)+e.from,s.forward(!t,n)?1:-1)}moveToLineBoundary(e,t,o=!0){return function(e,t,o,n){let s=At(e,t.head,t.assoc||-1),a=n&&s.type==P.Text&&(e.lineWrapping||s.widgetLineBreaks)?e.coordsAtPos(t.assoc<0&&t.head>s.from?t.head-1:t.head):null;if(a){let t=e.dom.getBoundingClientRect(),n=e.textDirectionAt(s.from),i=e.posAtCoords({x:o==(n==se.LTR)?t.right-1:t.left+1,y:(a.top+a.bottom)/2});if(null!=i)return r.OF.cursor(i,o?-1:1)}return r.OF.cursor(o?s.to:s.from,o?-1:1)}(this,e,t,o)}moveVertically(e,t,o){return Nt(this,e,function(e,t,o,n){let s=t.head,a=o?1:-1;if(s==(o?e.state.doc.length:0))return r.OF.cursor(s,t.assoc);let i,c=t.goalColumn,d=e.contentDOM.getBoundingClientRect(),l=e.coordsAtPos(s,(t.empty?t.assoc:0)||(o?1:-1)),p=e.documentTop;if(l)null==c&&(c=l.left-d.left),i=a<0?l.top:l.bottom;else{let t=e.viewState.lineBlockAt(s);null==c&&(c=Math.min(d.right-d.left,e.defaultCharacterWidth*(s-t.from))),i=(a<0?t.top:t.bottom)+p}let u=Lt(e,{x:d.left+c,y:i+(null!=n?n:e.viewState.heightOracle.textHeight>>1)*a},!1,a);return r.OF.cursor(u.pos,u.assoc,void 0,c)}(this,e,t,o))}domAtPos(e,t=1){return this.docView.domAtPos(e,t)}posAtDOM(e,t=0){return this.docView.posFromDOM(e,t)}posAtCoords(e,t=!0){this.readMeasured();let o=Lt(this,e,t);return o&&o.pos}posAndSideAtCoords(e,t=!0){return this.readMeasured(),Lt(this,e,t)}coordsAtPos(e,t=1){this.readMeasured();let o=this.docView.coordsAt(e,t);if(!o||o.left==o.right)return o;let r=this.state.doc.lineAt(e),n=this.bidiSpans(r);return j(o,n[me.find(n,e-r.from,-1,t)].dir==se.LTR==t>0)}coordsForChar(e){return this.readMeasured(),this.docView.coordsForChar(e)}get defaultCharacterWidth(){return this.viewState.heightOracle.charWidth}get defaultLineHeight(){return this.viewState.heightOracle.lineHeight}get textDirection(){return this.viewState.defaultTextDirection}textDirectionAt(e){return!this.state.facet(Re)||ethis.viewport.to?this.textDirection:(this.readMeasured(),this.docView.textDirectionAt(e))}get lineWrapping(){return this.viewState.heightOracle.lineWrapping}bidiSpans(e){if(e.length>gr)return ke(e.length);let t,o=this.textDirectionAt(e.from);for(let r of this.bidiCache)if(r.from==e.from&&r.dir==o&&(r.fresh||ve(r.isolates,t=Je(this,e))))return r.order;t||(t=Je(this,e));let r=ye(e.text,o,t);return this.bidiCache.push(new Or(e.from,e.to,o,t,!0,r)),r}get hasFocus(){var e;return(this.dom.ownerDocument.hasFocus()||x.safari&&(null===(e=this.inputState)||void 0===e?void 0:e.lastContextMenu)>Date.now()-3e4)&&this.root.activeElement==this.contentDOM}focus(){this.observer.ignore(()=>{K(this.contentDOM),this.docView.updateSelection()})}setRoot(e){this._root!=e&&(this._root=e,this.observer.setWindow((9==e.nodeType?e:e.ownerDocument).defaultView||window),this.mountStyles())}destroy(){this.root.activeElement==this.contentDOM&&this.contentDOM.blur();for(let e of this.plugins)e.destroy(this);this.plugins=[],this.inputState.destroy(),this.docView.destroy(),this.dom.remove(),this.observer.destroy(),this.measureScheduled>-1&&this.win.cancelAnimationFrame(this.measureScheduled),this.destroyed=!0}static scrollIntoView(e,t={}){return Ie.of(new qe("number"==typeof e?r.OF.cursor(e):e,t.y,t.x,t.yMargin,t.xMargin))}scrollSnapshot(){let{scrollTop:e,scrollLeft:t}=this.scrollDOM,o=this.viewState.scrollAnchorAt(e);return Ie.of(new qe(r.OF.cursor(o.from),"start","start",o.top-e,t,!0))}setTabFocusMode(e){null==e?this.inputState.tabFocusMode=this.inputState.tabFocusMode<0?0:-1:"boolean"==typeof e?this.inputState.tabFocusMode=e?0:-1:0!=this.inputState.tabFocusMode&&(this.inputState.tabFocusMode=Date.now()+e)}static domEventHandlers(e){return Ye.define(()=>({}),{eventHandlers:e})}static domEventObservers(e){return Ye.define(()=>({}),{eventObservers:e})}static theme(e,t){let o=n.G.newName(),r=[or.of(o),ot.of(cr(`.${o}`,e))];return t&&t.dark&&r.push(rr.of(!0)),r}static baseTheme(e){return r.Nb.lowest(ot.of(cr("."+nr,e,ir)))}static findFromDOM(e){var t;let o=e.querySelector(".cm-content"),r=o&&at.get(o)||at.get(e);return(null===(t=null==r?void 0:r.root)||void 0===t?void 0:t.view)||null}}vr.styleModule=ot,vr.inputHandler=Te,vr.clipboardInputFilter=Me,vr.clipboardOutputFilter=Ce,vr.scrollHandler=Xe,vr.focusChangeEffect=Ee,vr.perLineTextDirection=Re,vr.exceptionSink=ze,vr.updateListener=Pe,vr.editable=Le,vr.mouseSelectionStyle=Qe,vr.dragMovesSelection=Se,vr.clickAddsSelectionRange=$e,vr.decorations=Be,vr.blockWrappers=Fe,vr.outerDecorations=Ge,vr.atomicRanges=He,vr.bidiIsolatedRanges=Ke,vr.scrollMargins=et,vr.darkTheme=rr,vr.cspNonce=r.sj.define({combine:e=>e.length?e[0]:""}),vr.contentAttributes=We,vr.editorAttributes=je,vr.lineWrapping=vr.contentAttributes.of({class:"cm-lineWrapping"}),vr.announce=r.Pe.define();const gr=4096,br={};class Or{constructor(e,t,o,r,n,s){this.from=e,this.to=t,this.dir=o,this.isolates=r,this.fresh=n,this.order=s}static update(e,t){if(t.empty&&!e.some(e=>e.fresh))return e;let o=[],r=e.length?e[e.length-1].dir:se.LTR;for(let n=Math.max(0,e.length-10);n=0;n--){let t=r[n],s="function"==typeof t?t(e):t;s&&_(s,o)}return o}const 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h=l[u]||(l[u]={preventDefault:!1,stopPropagation:!1,run:(null===(d=null===(c=l._any)||void 0===c?void 0:c.run)||void 0===d?void 0:d.slice())||[]});s&&h.run.push(s),a&&(h.preventDefault=!0),i&&(h.stopPropagation=!0)};for(let r of e){let e=r.scope?r.scope.split(" "):["editor"];if(r.any)for(let t of e){let e=o[t]||(o[t]=Object.create(null));e._any||(e._any={preventDefault:!1,stopPropagation:!1,run:[]});let{any:n}=r;for(let t in e)e[t].run.push(e=>n(e,Pr))}let n=r[t]||r.key;if(n)for(let t of e)s(t,n,r.run,r.preventDefault,r.stopPropagation),r.shift&&s(t,"Shift-"+n,r.shift,r.preventDefault,r.stopPropagation)}return o}(t.reduce((e,t)=>e.concat(t),[]))),o}let Qr=null;const zr=4e3;let Pr=null;function Tr(e,t,o,n){Pr=t;let d=function(e){var 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y&&(O(y[u+xr(d,t,!p)])?h=!0:!p||!(t.altKey||t.metaKey||t.ctrlKey)||x.windows&&t.ctrlKey&&t.altKey||x.mac&&t.altKey&&!t.ctrlKey&&!t.metaKey||!(v=s[t.keyCode])||v==d?p&&t.shiftKey&&O(y[u+xr(d,t,!0)])&&(h=!0):(O(y[u+xr(v,t,!0)])||t.shiftKey&&(g=a[t.keyCode])!=d&&g!=v&&O(y[u+xr(g,t,!1)]))&&(h=!0),!h&&O(y._any)&&(h=!0)),f&&(h=!0),h&&m&&t.stopPropagation(),Pr=null,h}class Er{constructor(e,t,o,r,n){this.className=e,this.left=t,this.top=o,this.width=r,this.height=n}draw(){let e=document.createElement("div");return e.className=this.className,this.adjust(e),e}update(e,t){return t.className==this.className&&(this.adjust(e),!0)}adjust(e){e.style.left=this.left+"px",e.style.top=this.top+"px",null!=this.width&&(e.style.width=this.width+"px"),e.style.height=this.height+"px"}eq(e){return this.left==e.left&&this.top==e.top&&this.width==e.width&&this.height==e.height&&this.className==e.className}static forRange(e,t,o){if(o.empty){let r=e.coordsAtPos(o.head,o.assoc||1);if(!r)return[];let n=Mr(e);return[new Er(t,r.left-n.left,r.top-n.top,null,r.bottom-r.top)]}return function(e,t,o){if(o.to<=e.viewport.from||o.from>=e.viewport.to)return[];let r=Math.max(o.from,e.viewport.from),n=Math.min(o.to,e.viewport.to),s=e.textDirection==se.LTR,a=e.contentDOM,i=a.getBoundingClientRect(),c=Mr(e),d=a.querySelector(".cm-line"),l=d&&window.getComputedStyle(d),p=i.left+(l?parseInt(l.paddingLeft)+Math.min(0,parseInt(l.textIndent)):0),u=i.right-(l?parseInt(l.paddingRight):0),h=At(e,r,1),f=At(e,n,-1),m=h.type==P.Text?h:null,v=f.type==P.Text?f:null;m&&(e.lineWrapping||h.widgetLineBreaks)&&(m=Cr(e,r,1,m));v&&(e.lineWrapping||f.widgetLineBreaks)&&(v=Cr(e,n,-1,v));if(m&&v&&m.from==v.from&&m.to==v.to)return b(O(o.from,o.to,m));{let t=m?O(o.from,null,m):y(h,!1),r=v?O(null,o.to,v):y(f,!0),n=[];return(m||h).to<(v||f).from-(m&&v?1:0)||h.widgetLineBreaks>1&&t.bottom+e.defaultLineHeight/2d&&r.from=s)break;i>n&&c(Math.max(e,n),null==t&&e<=d,Math.min(i,s),null==o&&i>=l,a.dir)}if(n=r.to+1,n>=s)break}return 0==i.length&&c(d,null==t,l,null==o,e.textDirection),{top:n,bottom:a,horizontal:i}}function y(e,t){let o=i.top+(t?e.top:e.bottom);return{top:o,bottom:o,horizontal:[]}}}(e,t,o)}}function Mr(e){let t=e.scrollDOM.getBoundingClientRect();return{left:(e.textDirection==se.LTR?t.left:t.right-e.scrollDOM.clientWidth*e.scaleX)-e.scrollDOM.scrollLeft*e.scaleX,top:t.top-e.scrollDOM.scrollTop*e.scaleY}}function Cr(e,t,o,r){let n=e.coordsAtPos(t,2*o);if(!n)return r;let s=e.dom.getBoundingClientRect(),a=(n.top+n.bottom)/2,i=e.posAtCoords({x:s.left+1,y:a}),c=e.posAtCoords({x:s.right-1,y:a});return null==i||null==c?r:{from:Math.max(r.from,Math.min(i,c)),to:Math.min(r.to,Math.max(i,c))}}class Rr{constructor(e,t){this.view=e,this.layer=t,this.drawn=[],this.scaleX=1,this.scaleY=1,this.measureReq={read:this.measure.bind(this),write:this.draw.bind(this)},this.dom=e.scrollDOM.appendChild(document.createElement("div")),this.dom.classList.add("cm-layer"),t.above&&this.dom.classList.add("cm-layer-above"),t.class&&this.dom.classList.add(t.class),this.scale(),this.dom.setAttribute("aria-hidden","true"),this.setOrder(e.state),e.requestMeasure(this.measureReq),t.mount&&t.mount(this.dom,e)}update(e){e.startState.facet(Ar)!=e.state.facet(Ar)&&this.setOrder(e.state),(this.layer.update(e,this.dom)||e.geometryChanged)&&(this.scale(),e.view.requestMeasure(this.measureReq))}docViewUpdate(e){!1!==this.layer.updateOnDocViewUpdate&&e.requestMeasure(this.measureReq)}setOrder(e){let t=0,o=e.facet(Ar);for(;t{return o=e,r=this.drawn[t],!(o.constructor==r.constructor&&o.eq(r));var o,r})){let t=this.dom.firstChild,o=0;for(let r of e)r.update&&t&&r.constructor&&this.drawn[o].constructor&&r.update(t,this.drawn[o])?(t=t.nextSibling,o++):this.dom.insertBefore(r.draw(),t);for(;t;){let e=t.nextSibling;t.remove(),t=e}this.drawn=e,x.safari&&x.safari_version>=26&&(this.dom.style.display=this.dom.firstChild?"":"none")}}destroy(){this.layer.destroy&&this.layer.destroy(this.dom,this.view),this.dom.remove()}}const Ar=r.sj.define();function Xr(e){return[Ye.define(t=>new Rr(t,e)),Ar.of(e)]}const qr=r.sj.define({combine(e){return(0,r.QR)(e,{cursorBlinkRate:1200,drawRangeCursor:!0},{cursorBlinkRate:(e,t)=>Math.min(e,t),drawRangeCursor:(e,t)=>e||t})}});function Ir(e={}){return[qr.of(e),Dr,Vr,Zr,Ae.of(!0)]}function Nr(e){return e.startState.facet(qr)!=e.state.facet(qr)}const Dr=Xr({above:!0,markers(e){let{state:t}=e,o=t.facet(qr),n=[];for(let s of t.selection.ranges){let a=s==t.selection.main;if(s.empty||o.drawRangeCursor){let t=a?"cm-cursor cm-cursor-primary":"cm-cursor 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0:r.tooltipSpace)||jr}}}),Br=new WeakMap,Fr=Ye.fromClass(class{constructor(e){this.view=e,this.above=[],this.inView=!0,this.madeAbsolute=!1,this.lastTransaction=0,this.measureTimeout=-1;let t=e.state.facet(Wr);this.position=t.position,this.parent=t.parent,this.classes=e.themeClasses,this.createContainer(),this.measureReq={read:this.readMeasure.bind(this),write:this.writeMeasure.bind(this),key:this},this.resizeObserver="function"==typeof ResizeObserver?new ResizeObserver(()=>this.measureSoon()):null,this.manager=new Ur(e,Jr,(e,t)=>this.createTooltip(e,t),e=>{this.resizeObserver&&this.resizeObserver.unobserve(e.dom),e.dom.remove()}),this.above=this.manager.tooltips.map(e=>!!e.above),this.intersectionObserver="function"==typeof IntersectionObserver?new IntersectionObserver(e=>{Date.now()>this.lastTransaction-50&&e.length>0&&e[e.length-1].intersectionRatio<1&&this.measureSoon()},{threshold:[1]}):null,this.observeIntersection(),e.win.addEventListener("resize",this.measureSoon=this.measureSoon.bind(this)),this.maybeMeasure()}createContainer(){this.parent?(this.container=document.createElement("div"),this.container.style.position="relative",this.container.className=this.view.themeClasses,this.parent.appendChild(this.container)):this.container=this.view.dom}observeIntersection(){if(this.intersectionObserver){this.intersectionObserver.disconnect();for(let e of this.manager.tooltipViews)this.intersectionObserver.observe(e.dom)}}measureSoon(){this.measureTimeout<0&&(this.measureTimeout=setTimeout(()=>{this.measureTimeout=-1,this.maybeMeasure()},50))}update(e){e.transactions.length&&(this.lastTransaction=Date.now());let t=this.manager.update(e,this.above);t&&this.observeIntersection();let o=t||e.geometryChanged,r=e.state.facet(Wr);if(r.position!=this.position&&!this.madeAbsolute){this.position=r.position;for(let e of this.manager.tooltipViews)e.dom.style.position=this.position;o=!0}if(r.parent!=this.parent){this.parent&&this.container.remove(),this.parent=r.parent,this.createContainer();for(let e of this.manager.tooltipViews)this.container.appendChild(e.dom);o=!0}else this.parent&&this.view.themeClasses!=this.classes&&(this.classes=this.container.className=this.view.themeClasses);o&&this.maybeMeasure()}createTooltip(e,t){let o=e.create(this.view),r=t?t.dom:null;if(o.dom.classList.add("cm-tooltip"),e.arrow&&!o.dom.querySelector(".cm-tooltip > .cm-tooltip-arrow")){let e=document.createElement("div");e.className="cm-tooltip-arrow",o.dom.appendChild(e)}return o.dom.style.position=this.position,o.dom.style.top=Yr,o.dom.style.left="0px",this.container.insertBefore(o.dom,r),o.mount&&o.mount(this.view),this.resizeObserver&&this.resizeObserver.observe(o.dom),o}destroy(){var e,t,o;this.view.win.removeEventListener("resize",this.measureSoon);for(let t of this.manager.tooltipViews)t.dom.remove(),null===(e=t.destroy)||void 0===e||e.call(t);this.parent&&this.container.remove(),null===(t=this.resizeObserver)||void 0===t||t.disconnect(),null===(o=this.intersectionObserver)||void 0===o||o.disconnect(),clearTimeout(this.measureTimeout)}readMeasure(){let e=1,t=1,o=!1;if("fixed"==this.position&&this.manager.tooltipViews.length){let{dom:e}=this.manager.tooltipViews[0];if(x.safari){let t=e.getBoundingClientRect();o=Math.abs(t.top+1e4)>1||Math.abs(t.left)>1}else o=!!e.offsetParent&&e.offsetParent!=this.container.ownerDocument.body}if(o||"absolute"==this.position)if(this.parent){let o=this.parent.getBoundingClientRect();o.width&&o.height&&(e=o.width/this.parent.offsetWidth,t=o.height/this.parent.offsetHeight)}else({scaleX:e,scaleY:t}=this.view.viewState);let r=this.view.scrollDOM.getBoundingClientRect(),n=tt(this.view);return{visible:{left:r.left+n.left,top:r.top+n.top,right:r.right-n.right,bottom:r.bottom-n.bottom},parent:this.parent?this.container.getBoundingClientRect():this.view.dom.getBoundingClientRect(),pos:this.manager.tooltips.map((e,t)=>{let o=this.manager.tooltipViews[t];return o.getCoords?o.getCoords(e.pos):this.view.coordsAtPos(e.pos)}),size:this.manager.tooltipViews.map(({dom:e})=>e.getBoundingClientRect()),space:this.view.state.facet(Wr).tooltipSpace(this.view),scaleX:e,scaleY:t,makeAbsolute:o}}writeMeasure(e){var t;if(e.makeAbsolute){this.madeAbsolute=!0,this.position="absolute";for(let e of this.manager.tooltipViews)e.dom.style.position="absolute"}let{visible:o,space:r,scaleX:n,scaleY:s}=e,a=[];for(let i=0;i=Math.min(o.bottom,r.bottom)||p.rightMath.min(o.right,r.right)+.1)){l.style.top=Yr;continue}let h=c.arrow?d.dom.querySelector(".cm-tooltip-arrow"):null,f=h?7:0,m=u.right-u.left,v=null!==(t=Br.get(d))&&void 0!==t?t:u.bottom-u.top,g=d.offset||Kr,b=this.view.textDirection==se.LTR,O=u.width>r.right-r.left?b?r.left:r.right-u.width:b?Math.max(r.left,Math.min(p.left-(h?14:0)+g.x,r.right-m)):Math.min(Math.max(r.left,p.left-m+(h?14:0)-g.x),r.right-m),y=this.above[i];!c.strictSide&&(y?p.top-v-f-g.yr.bottom)&&y==r.bottom-p.bottom>p.top-r.top&&(y=this.above[i]=!y);let k=(y?p.top-r.top:r.bottom-p.bottom)-f;if(kO&&e.topx&&(x=y?e.top-v-2-f:e.bottom+f+2);if("absolute"==this.position?(l.style.top=(x-e.parent.top)/s+"px",Gr(l,(O-e.parent.left)/n)):(l.style.top=x/s+"px",Gr(l,O/n)),h){let e=p.left+(b?g.x:-g.x)-(O+14-7);h.style.left=e/n+"px"}!0!==d.overlap&&a.push({left:O,top:x,right:_,bottom:x+v}),l.classList.toggle("cm-tooltip-above",y),l.classList.toggle("cm-tooltip-below",!y),d.positioned&&d.positioned(e.space)}}maybeMeasure(){if(this.manager.tooltips.length&&(this.view.inView&&this.view.requestMeasure(this.measureReq),this.inView!=this.view.inView&&(this.inView=this.view.inView,!this.inView)))for(let e of this.manager.tooltipViews)e.dom.style.top=Yr}},{eventObservers:{scroll(){this.maybeMeasure()}}});function Gr(e,t){let o=parseInt(e.style.left,10);(isNaN(o)||Math.abs(t-o)>1)&&(e.style.left=t+"px")}const Hr=vr.baseTheme({".cm-tooltip":{zIndex:500,boxSizing:"border-box"},"&light .cm-tooltip":{border:"1px solid #bbb",backgroundColor:"#f5f5f5"},"&light .cm-tooltip-section:not(:first-child)":{borderTop:"1px solid #bbb"},"&dark .cm-tooltip":{backgroundColor:"#333338",color:"white"},".cm-tooltip-arrow":{height:"7px",width:"14px",position:"absolute",zIndex:-1,overflow:"hidden","&:before, &:after":{content:"''",position:"absolute",width:0,height:0,borderLeft:"7px solid transparent",borderRight:"7px solid transparent"},".cm-tooltip-above &":{bottom:"-7px","&:before":{borderTop:"7px solid #bbb"},"&:after":{borderTop:"7px solid #f5f5f5",bottom:"1px"}},".cm-tooltip-below &":{top:"-7px","&:before":{borderBottom:"7px solid #bbb"},"&:after":{borderBottom:"7px solid #f5f5f5",top:"1px"}}},"&dark .cm-tooltip .cm-tooltip-arrow":{"&:before":{borderTopColor:"#333338",borderBottomColor:"#333338"},"&:after":{borderTopColor:"transparent",borderBottomColor:"transparent"}}}),Kr={x:0,y:0},Jr=r.sj.define({enables:[Fr,Hr]}),en=r.sj.define({combine:e=>e.reduce((e,t)=>e.concat(t),[])});class tn{static create(e){return new tn(e)}constructor(e){this.view=e,this.mounted=!1,this.dom=document.createElement("div"),this.dom.classList.add("cm-tooltip-hover"),this.manager=new Ur(e,en,(e,t)=>this.createHostedView(e,t),e=>e.dom.remove())}createHostedView(e,t){let o=e.create(this.view);return o.dom.classList.add("cm-tooltip-section"),this.dom.insertBefore(o.dom,t?t.dom.nextSibling:this.dom.firstChild),this.mounted&&o.mount&&o.mount(this.view),o}mount(e){for(let t of this.manager.tooltipViews)t.mount&&t.mount(e);this.mounted=!0}positioned(e){for(let t of this.manager.tooltipViews)t.positioned&&t.positioned(e)}update(e){this.manager.update(e)}destroy(){var e;for(let t of this.manager.tooltipViews)null===(e=t.destroy)||void 0===e||e.call(t)}passProp(e){let t;for(let o of this.manager.tooltipViews){let r=o[e];if(void 0!==r)if(void 0===t)t=r;else if(t!==r)return}return t}get offset(){return this.passProp("offset")}get getCoords(){return this.passProp("getCoords")}get overlap(){return this.passProp("overlap")}get resize(){return this.passProp("resize")}}const on=Jr.compute([en],e=>{let t=e.facet(en);return 0===t.length?null:{pos:Math.min(...t.map(e=>e.pos)),end:Math.max(...t.map(e=>{var t;return null!==(t=e.end)&&void 0!==t?t:e.pos})),create:tn.create,above:t[0].above,arrow:t.some(e=>e.arrow)}});class rn{constructor(e,t,o,r,n){this.view=e,this.source=t,this.field=o,this.setHover=r,this.hoverTime=n,this.hoverTimeout=-1,this.restartTimeout=-1,this.pending=null,this.lastMove={x:0,y:0,target:e.dom,time:0},this.checkHover=this.checkHover.bind(this),e.dom.addEventListener("mouseleave",this.mouseleave=this.mouseleave.bind(this)),e.dom.addEventListener("mousemove",this.mousemove=this.mousemove.bind(this))}update(){this.pending&&(this.pending=null,clearTimeout(this.restartTimeout),this.restartTimeout=setTimeout(()=>this.startHover(),20))}get active(){return this.view.state.field(this.field)}checkHover(){if(this.hoverTimeout=-1,this.active.length)return;let e=Date.now()-this.lastMove.time;eo.bottom||t.xo.right+e.defaultCharacterWidth)return;let s=e.bidiSpans(e.state.doc.lineAt(r)).find(e=>e.from<=r&&e.to>=r),a=s&&s.dir==se.RTL?-1:1;n=t.x{this.pending==t&&(this.pending=null,!o||Array.isArray(o)&&!o.length||e.dispatch({effects:this.setHover.of(Array.isArray(o)?o:[o])}))},t=>De(e.state,t,"hover tooltip"))}else!s||Array.isArray(s)&&!s.length||e.dispatch({effects:this.setHover.of(Array.isArray(s)?s:[s])})}get tooltip(){let e=this.view.plugin(Fr),t=e?e.manager.tooltips.findIndex(e=>e.create==tn.create):-1;return t>-1?e.manager.tooltipViews[t]:null}mousemove(e){var t,o;this.lastMove={x:e.clientX,y:e.clientY,target:e.target,time:Date.now()},this.hoverTimeout<0&&(this.hoverTimeout=setTimeout(this.checkHover,this.hoverTime));let{active:r,tooltip:n}=this;if(r.length&&n&&!function(e,t){let o,{left:r,right:n,top:s,bottom:a}=e.getBoundingClientRect();if(o=e.querySelector(".cm-tooltip-arrow")){let e=o.getBoundingClientRect();s=Math.min(e.top,s),a=Math.max(e.bottom,a)}return t.clientX>=r-nn&&t.clientX<=n+nn&&t.clientY>=s-nn&&t.clientY<=a+nn}(n.dom,e)||this.pending){let{pos:n}=r[0]||this.pending,s=null!==(o=null===(t=r[0])||void 0===t?void 0:t.end)&&void 0!==o?o:n;(n==s?this.view.posAtCoords(this.lastMove)==n:function(e,t,o,r,n){let s=e.scrollDOM.getBoundingClientRect(),a=e.documentTop+e.documentPadding.top+e.contentHeight;if(s.left>r||s.rightn||Math.min(s.bottom,a)=t&&i<=o}(this.view,n,s,e.clientX,e.clientY))||(this.view.dispatch({effects:this.setHover.of([])}),this.pending=null)}}mouseleave(e){clearTimeout(this.hoverTimeout),this.hoverTimeout=-1;let{active:t}=this;if(t.length){let{tooltip:t}=this;t&&t.dom.contains(e.relatedTarget)?this.watchTooltipLeave(t.dom):this.view.dispatch({effects:this.setHover.of([])})}}watchTooltipLeave(e){let t=o=>{e.removeEventListener("mouseleave",t),this.active.length&&!this.view.dom.contains(o.relatedTarget)&&this.view.dispatch({effects:this.setHover.of([])})};e.addEventListener("mouseleave",t)}destroy(){clearTimeout(this.hoverTimeout),clearTimeout(this.restartTimeout),this.view.dom.removeEventListener("mouseleave",this.mouseleave),this.view.dom.removeEventListener("mousemove",this.mousemove)}}const nn=4;function sn(e,t={}){let o=r.Pe.define(),n=r.sU.define({create(){return[]},update(e,n){if(e.length&&(t.hideOnChange&&(n.docChanged||n.selection)?e=[]:t.hideOn&&(e=e.filter(e=>!t.hideOn(n,e))),n.docChanged)){let t=[];for(let o of e){let e=n.changes.mapPos(o.pos,-1,r.iR.TrackDel);if(null!=e){let r=Object.assign(Object.create(null),o);r.pos=e,null!=r.end&&(r.end=n.changes.mapPos(r.end)),t.push(r)}}e=t}for(let t of n.effects)t.is(o)&&(e=t.value),t.is(cn)&&(e=[]);return e},provide:e=>en.from(e)});return{active:n,extension:[n,Ye.define(r=>new rn(r,e,n,o,t.hoverTime||300)),on]}}function an(e,t){let o=e.plugin(Fr);if(!o)return null;let r=o.manager.tooltips.indexOf(t);return r<0?null:o.manager.tooltipViews[r]}const cn=r.Pe.define();const dn=r.sj.define({combine(e){let t,o;for(let r of e)t=t||r.topContainer,o=o||r.bottomContainer;return{topContainer:t,bottomContainer:o}}});function ln(e,t){let o=e.plugin(pn),r=o?o.specs.indexOf(t):-1;return r>-1?o.panels[r]:null}const pn=Ye.fromClass(class{constructor(e){this.input=e.state.facet(fn),this.specs=this.input.filter(e=>e),this.panels=this.specs.map(t=>t(e));let t=e.state.facet(dn);this.top=new un(e,!0,t.topContainer),this.bottom=new un(e,!1,t.bottomContainer),this.top.sync(this.panels.filter(e=>e.top)),this.bottom.sync(this.panels.filter(e=>!e.top));for(let e of this.panels)e.dom.classList.add("cm-panel"),e.mount&&e.mount()}update(e){let t=e.state.facet(dn);this.top.container!=t.topContainer&&(this.top.sync([]),this.top=new un(e.view,!0,t.topContainer)),this.bottom.container!=t.bottomContainer&&(this.bottom.sync([]),this.bottom=new un(e.view,!1,t.bottomContainer)),this.top.syncClasses(),this.bottom.syncClasses();let o=e.state.facet(fn);if(o!=this.input){let t=o.filter(e=>e),r=[],n=[],s=[],a=[];for(let o of t){let t,i=this.specs.indexOf(o);i<0?(t=o(e.view),a.push(t)):(t=this.panels[i],t.update&&t.update(e)),r.push(t),(t.top?n:s).push(t)}this.specs=t,this.panels=r,this.top.sync(n),this.bottom.sync(s);for(let e of a)e.dom.classList.add("cm-panel"),e.mount&&e.mount()}else for(let t of this.panels)t.update&&t.update(e)}destroy(){this.top.sync([]),this.bottom.sync([])}},{provide:e=>vr.scrollMargins.of(t=>{let o=t.plugin(e);return o&&{top:o.top.scrollMargin(),bottom:o.bottom.scrollMargin()}})});class un{constructor(e,t,o){this.view=e,this.top=t,this.container=o,this.dom=void 0,this.classes="",this.panels=[],this.syncClasses()}sync(e){for(let t of this.panels)t.destroy&&e.indexOf(t)<0&&t.destroy();this.panels=e,this.syncDOM()}syncDOM(){if(0==this.panels.length)return void(this.dom&&(this.dom.remove(),this.dom=void 0));if(!this.dom){this.dom=document.createElement("div"),this.dom.className=this.top?"cm-panels cm-panels-top":"cm-panels cm-panels-bottom",this.dom.style[this.top?"top":"bottom"]="0";let e=this.container||this.view.dom;e.insertBefore(this.dom,this.top?e.firstChild:null)}let e=this.dom.firstChild;for(let t of this.panels)if(t.dom.parentNode==this.dom){for(;e!=t.dom;)e=hn(e);e=e.nextSibling}else this.dom.insertBefore(t.dom,e);for(;e;)e=hn(e)}scrollMargin(){return!this.dom||this.container?0:Math.max(0,this.top?this.dom.getBoundingClientRect().bottom-Math.max(0,this.view.scrollDOM.getBoundingClientRect().top):Math.min(innerHeight,this.view.scrollDOM.getBoundingClientRect().bottom)-this.dom.getBoundingClientRect().top)}syncClasses(){if(this.container&&this.classes!=this.view.themeClasses){for(let e of this.classes.split(" "))e&&this.container.classList.remove(e);for(let e of(this.classes=this.view.themeClasses).split(" "))e&&this.container.classList.add(e)}}}function hn(e){let t=e.nextSibling;return e.remove(),t}const fn=r.sj.define({enables:pn});class mn extends r.FB{compare(e){return this==e||this.constructor==e.constructor&&this.eq(e)}eq(e){return!1}destroy(e){}}mn.prototype.elementClass="",mn.prototype.toDOM=void 0,mn.prototype.mapMode=r.iR.TrackBefore,mn.prototype.startSide=mn.prototype.endSide=-1,mn.prototype.point=!0;const vn=r.sj.define(),gn=r.sj.define(),bn={class:"",renderEmptyElements:!1,elementStyle:"",markers:()=>r.om.empty,lineMarker:()=>null,widgetMarker:()=>null,lineMarkerChange:null,initialSpacer:null,updateSpacer:null,domEventHandlers:{},side:"before"},On=r.sj.define();function yn(e){return[xn(),On.of({...bn,...e})]}const kn=r.sj.define({combine:e=>e.some(e=>e)});function xn(e){let t=[_n];return e&&!1===e.fixed&&t.push(kn.of(!0)),t}const _n=Ye.fromClass(class{constructor(e){this.view=e,this.domAfter=null,this.prevViewport=e.viewport,this.dom=document.createElement("div"),this.dom.className="cm-gutters cm-gutters-before",this.dom.setAttribute("aria-hidden","true"),this.dom.style.minHeight=this.view.contentHeight/this.view.scaleY+"px",this.gutters=e.state.facet(On).map(t=>new Qn(e,t)),this.fixed=!e.state.facet(kn);for(let e of this.gutters)"after"==e.config.side?this.getDOMAfter().appendChild(e.dom):this.dom.appendChild(e.dom);this.fixed&&(this.dom.style.position="sticky"),this.syncGutters(!1),e.scrollDOM.insertBefore(this.dom,e.contentDOM)}getDOMAfter(){return this.domAfter||(this.domAfter=document.createElement("div"),this.domAfter.className="cm-gutters cm-gutters-after",this.domAfter.setAttribute("aria-hidden","true"),this.domAfter.style.minHeight=this.view.contentHeight/this.view.scaleY+"px",this.domAfter.style.position=this.fixed?"sticky":"",this.view.scrollDOM.appendChild(this.domAfter)),this.domAfter}update(e){if(this.updateGutters(e)){let t=this.prevViewport,o=e.view.viewport,r=Math.min(t.to,o.to)-Math.max(t.from,o.from);this.syncGutters(r<.8*(o.to-o.from))}if(e.geometryChanged){let e=this.view.contentHeight/this.view.scaleY+"px";this.dom.style.minHeight=e,this.domAfter&&(this.domAfter.style.minHeight=e)}this.view.state.facet(kn)!=!this.fixed&&(this.fixed=!this.fixed,this.dom.style.position=this.fixed?"sticky":"",this.domAfter&&(this.domAfter.style.position=this.fixed?"sticky":"")),this.prevViewport=e.view.viewport}syncGutters(e){let t=this.dom.nextSibling;e&&(this.dom.remove(),this.domAfter&&this.domAfter.remove());let o=r.om.iter(this.view.state.facet(vn),this.view.viewport.from),n=[],s=this.gutters.map(e=>new Sn(e,this.view.viewport,-this.view.documentPadding.top));for(let e of this.view.viewportLineBlocks)if(n.length&&(n=[]),Array.isArray(e.type)){let t=!0;for(let r of e.type)if(r.type==P.Text&&t){$n(o,n,r.from);for(let e of s)e.line(this.view,r,n);t=!1}else if(r.widget)for(let e of s)e.widget(this.view,r)}else if(e.type==P.Text){$n(o,n,e.from);for(let t of s)t.line(this.view,e,n)}else if(e.widget)for(let t of s)t.widget(this.view,e);for(let e of s)e.finish();e&&(this.view.scrollDOM.insertBefore(this.dom,t),this.domAfter&&this.view.scrollDOM.appendChild(this.domAfter))}updateGutters(e){let t=e.startState.facet(On),o=e.state.facet(On),n=e.docChanged||e.heightChanged||e.viewportChanged||!r.om.eq(e.startState.facet(vn),e.state.facet(vn),e.view.viewport.from,e.view.viewport.to);if(t==o)for(let t of this.gutters)t.update(e)&&(n=!0);else{n=!0;let r=[];for(let n of o){let o=t.indexOf(n);o<0?r.push(new Qn(this.view,n)):(this.gutters[o].update(e),r.push(this.gutters[o]))}for(let e of this.gutters)e.dom.remove(),r.indexOf(e)<0&&e.destroy();for(let e of r)"after"==e.config.side?this.getDOMAfter().appendChild(e.dom):this.dom.appendChild(e.dom);this.gutters=r}return n}destroy(){for(let e of this.gutters)e.destroy();this.dom.remove(),this.domAfter&&this.domAfter.remove()}},{provide:e=>vr.scrollMargins.of(t=>{let o=t.plugin(e);if(!o||0==o.gutters.length||!o.fixed)return null;let r=o.dom.offsetWidth*t.scaleX,n=o.domAfter?o.domAfter.offsetWidth*t.scaleX:0;return t.textDirection==se.LTR?{left:r,right:n}:{right:r,left:n}})});function wn(e){return Array.isArray(e)?e:[e]}function $n(e,t,o){for(;e.value&&e.from<=o;)e.from==o&&t.push(e.value),e.next()}class Sn{constructor(e,t,o){this.gutter=e,this.height=o,this.i=0,this.cursor=r.om.iter(e.markers,t.from)}addElement(e,t,o){let{gutter:r}=this,n=(t.top-this.height)/e.scaleY,s=t.height/e.scaleY;if(this.i==r.elements.length){let t=new zn(e,s,n,o);r.elements.push(t),r.dom.appendChild(t.dom)}else r.elements[this.i].update(e,s,n,o);this.height=t.bottom,this.i++}line(e,t,o){let r=[];$n(this.cursor,r,t.from),o.length&&(r=r.concat(o));let n=this.gutter.config.lineMarker(e,t,r);n&&r.unshift(n);let s=this.gutter;(0!=r.length||s.config.renderEmptyElements)&&this.addElement(e,t,r)}widget(e,t){let o=this.gutter.config.widgetMarker(e,t.widget,t),r=o?[o]:null;for(let o of e.state.facet(gn)){let n=o(e,t.widget,t);n&&(r||(r=[])).push(n)}r&&this.addElement(e,t,r)}finish(){let e=this.gutter;for(;e.elements.length>this.i;){let t=e.elements.pop();e.dom.removeChild(t.dom),t.destroy()}}}class Qn{constructor(e,t){this.view=e,this.config=t,this.elements=[],this.spacer=null,this.dom=document.createElement("div"),this.dom.className="cm-gutter"+(this.config.class?" "+this.config.class:"");for(let o in t.domEventHandlers)this.dom.addEventListener(o,r=>{let n,s=r.target;if(s!=this.dom&&this.dom.contains(s)){for(;s.parentNode!=this.dom;)s=s.parentNode;let e=s.getBoundingClientRect();n=(e.top+e.bottom)/2}else n=r.clientY;let a=e.lineBlockAtHeight(n-e.documentTop);t.domEventHandlers[o](e,a,r)&&r.preventDefault()});this.markers=wn(t.markers(e)),t.initialSpacer&&(this.spacer=new zn(e,0,0,[t.initialSpacer(e)]),this.dom.appendChild(this.spacer.dom),this.spacer.dom.style.cssText+="visibility: hidden; pointer-events: none")}update(e){let t=this.markers;if(this.markers=wn(this.config.markers(e.view)),this.spacer&&this.config.updateSpacer){let t=this.config.updateSpacer(this.spacer.markers[0],e);t!=this.spacer.markers[0]&&this.spacer.update(e.view,0,0,[t])}let o=e.view.viewport;return!r.om.eq(this.markers,t,o.from,o.to)||!!this.config.lineMarkerChange&&this.config.lineMarkerChange(e)}destroy(){for(let e of this.elements)e.destroy()}}class zn{constructor(e,t,o,r){this.height=-1,this.above=0,this.markers=[],this.dom=document.createElement("div"),this.dom.className="cm-gutterElement",this.update(e,t,o,r)}update(e,t,o,r){this.height!=t&&(this.height=t,this.dom.style.height=t+"px"),this.above!=o&&(this.dom.style.marginTop=(this.above=o)?o+"px":""),function(e,t){if(e.length!=t.length)return!1;for(let o=0;or(e,t,o)||n(e,t,o):n}return o}})}});class Mn extends mn{constructor(e){super(),this.number=e}eq(e){return this.number==e.number}toDOM(){return document.createTextNode(this.number)}}function Cn(e,t){return e.state.facet(En).formatNumber(t,e.state)}const Rn=On.compute([En],e=>({class:"cm-lineNumbers",renderEmptyElements:!1,markers(e){return e.state.facet(Pn)},lineMarker(e,t,o){return o.some(e=>e.toDOM)?null:new Mn(Cn(e,e.state.doc.lineAt(t.from).number))},widgetMarker:(e,t,o)=>{for(let r of e.state.facet(Tn)){let n=r(e,t,o);if(n)return n}return 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t=this.rules.block.lheading.exec(e);if(t)return{type:"heading",raw:t[0],depth:"="===t[2].charAt(0)?1:2,text:t[1],tokens:this.lexer.inline(t[1])}}paragraph(e){let t=this.rules.block.paragraph.exec(e);if(t){let e="\n"===t[1].charAt(t[1].length-1)?t[1].slice(0,-1):t[1];return{type:"paragraph",raw:t[0],text:e,tokens:this.lexer.inline(e)}}}text(e){let t=this.rules.block.text.exec(e);if(t)return{type:"text",raw:t[0],text:t[0],tokens:this.lexer.inline(t[0])}}escape(e){let t=this.rules.inline.escape.exec(e);if(t)return{type:"escape",raw:t[0],text:t[1]}}tag(e){let t=this.rules.inline.tag.exec(e);if(t)return!this.lexer.state.inLink&&this.rules.other.startATag.test(t[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(t[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(t[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(t[0])&&(this.lexer.state.inRawBlock=!1),{type:"html",raw:t[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:t[0]}}link(e){let t=this.rules.inline.link.exec(e);if(t){let e=t[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(e)){if(!this.rules.other.endAngleBracket.test(e))return;let t=ne(e.slice(0,-1),"\\");if((e.length-t.length)%2==0)return}else{let e=function(e,t){if(-1===e.indexOf(t[1]))return-1;let o=0;for(let r=0;r0?-2:-1}(t[2],"()");if(-2===e)return;if(e>-1){let 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r=this.rules.inline.emStrongLDelim.exec(e);if(!(!r||r[3]&&o.match(this.rules.other.unicodeAlphaNumeric))&&(!r[1]&&!r[2]||!o||this.rules.inline.punctuation.exec(o))){let o,n,s=[...r[0]].length-1,a=s,i=0,c="*"===r[0][0]?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(c.lastIndex=0,t=t.slice(-1*e.length+s);null!=(r=c.exec(t));){if(o=r[1]||r[2]||r[3]||r[4]||r[5]||r[6],!o)continue;if(n=[...o].length,r[3]||r[4]){a+=n;continue}if((r[5]||r[6])&&s%3&&!((s+n)%3)){i+=n;continue}if(a-=n,a>0)continue;n=Math.min(n,n+a+i);let t=[...r[0]][0].length,c=e.slice(0,s+r.index+t+n);if(Math.min(s,n)%2){let e=c.slice(1,-1);return{type:"em",raw:c,text:e,tokens:this.lexer.inlineTokens(e)}}let d=c.slice(2,-2);return{type:"strong",raw:c,text:d,tokens:this.lexer.inlineTokens(d)}}}}codespan(e){let t=this.rules.inline.code.exec(e);if(t){let e=t[2].replace(this.rules.other.newLineCharGlobal," "),o=this.rules.other.nonSpaceChar.test(e),r=this.rules.other.startingSpaceChar.test(e)&&this.rules.other.endingSpaceChar.test(e);return o&&r&&(e=e.substring(1,e.length-1)),{type:"codespan",raw:t[0],text:e}}}br(e){let t=this.rules.inline.br.exec(e);if(t)return{type:"br",raw:t[0]}}del(e){let t=this.rules.inline.del.exec(e);if(t)return{type:"del",raw:t[0],text:t[2],tokens:this.lexer.inlineTokens(t[2])}}autolink(e){let t=this.rules.inline.autolink.exec(e);if(t){let e,o;return"@"===t[2]?(e=t[1],o="mailto:"+e):(e=t[1],o=e),{type:"link",raw:t[0],text:e,href:o,tokens:[{type:"text",raw:e,text:e}]}}}url(e){let t;if(t=this.rules.inline.url.exec(e)){let e,o;if("@"===t[2])e=t[0],o="mailto:"+e;else{let r;do{r=t[0],t[0]=this.rules.inline._backpedal.exec(t[0])?.[0]??""}while(r!==t[0]);e=t[0],o="www."===t[1]?"http://"+t[0]:t[0]}return{type:"link",raw:t[0],text:e,href:o,tokens:[{type:"text",raw:e,text:e}]}}}inlineText(e){let t=this.rules.inline.text.exec(e);if(t){let 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o=t.at(-1);"paragraph"===o?.type||"text"===o?.type?(o.raw+=(o.raw.endsWith("\n")?"":"\n")+r.raw,o.text+="\n"+r.raw,this.inlineQueue.at(-1).src=o.text):this.tokens.links[r.tag]||(this.tokens.links[r.tag]={href:r.href,title:r.title},t.push(r));continue}if(r=this.tokenizer.table(e)){e=e.substring(r.raw.length),t.push(r);continue}if(r=this.tokenizer.lheading(e)){e=e.substring(r.raw.length),t.push(r);continue}let n=e;if(this.options.extensions?.startBlock){let t,o=1/0,r=e.slice(1);this.options.extensions.startBlock.forEach(e=>{t=e.call({lexer:this},r),"number"==typeof t&&t>=0&&(o=Math.min(o,t))}),o<1/0&&o>=0&&(n=e.substring(0,o+1))}if(this.state.top&&(r=this.tokenizer.paragraph(n))){let s=t.at(-1);o&&"paragraph"===s?.type?(s.raw+=(s.raw.endsWith("\n")?"":"\n")+r.raw,s.text+="\n"+r.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=s.text):t.push(r),o=n.length!==e.length,e=e.substring(r.raw.length);continue}if(r=this.tokenizer.text(e)){e=e.substring(r.raw.length);let o=t.at(-1);"text"===o?.type?(o.raw+=(o.raw.endsWith("\n")?"":"\n")+r.raw,o.text+="\n"+r.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=o.text):t.push(r);continue}if(e){let t="Infinite loop on byte: "+e.charCodeAt(0);if(this.options.silent)break;throw new Error(t)}}return this.state.top=!0,t}inline(e,t=[]){return this.inlineQueue.push({src:e,tokens:t}),t}inlineTokens(e,t=[]){let o=e,r=null;if(this.tokens.links){let e=Object.keys(this.tokens.links);if(e.length>0)for(;null!=(r=this.tokenizer.rules.inline.reflinkSearch.exec(o));)e.includes(r[0].slice(r[0].lastIndexOf("[")+1,-1))&&(o=o.slice(0,r.index)+"["+"a".repeat(r[0].length-2)+"]"+o.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;null!=(r=this.tokenizer.rules.inline.anyPunctuation.exec(o));)o=o.slice(0,r.index)+"++"+o.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;null!=(r=this.tokenizer.rules.inline.blockSkip.exec(o));)o=o.slice(0,r.index)+"["+"a".repeat(r[0].length-2)+"]"+o.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);o=this.options.hooks?.emStrongMask?.call({lexer:this},o)??o;let n=!1,s="";for(;e;){let 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    \`/\`\` and will default to "${Ie}"`),null)}function Ze(e,t){let o,r,n,s,a;if(Ne(i=e)&&"form"===i.tagName.toLowerCase()){let a=e.getAttribute("action");r=a?E(a,t):null,o=e.getAttribute("method")||qe,n=Ve(e.getAttribute("enctype"))||Ie,s=new FormData(e)}else if(function(e){return Ne(e)&&"button"===e.tagName.toLowerCase()}(e)||function(e){return Ne(e)&&"input"===e.tagName.toLowerCase()}(e)&&("submit"===e.type||"image"===e.type)){let a=e.form;if(null==a)throw new Error('Cannot submit a {showHint && !showMenu && (
    setShowHint(false)}> 👋 Click here for a guided tour!
    )} {showMenu && ( <>
    setShowMenu(false)} />

    Guided Tours

    )} ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/AgentBehaviorConfig.tsx ================================================ import React, { useState, useEffect } from "react"; import { X, Save } from "lucide-react"; import { apiFetch } from "../../frontend/src/api"; import "./ConfigModal.css"; interface AgentBehaviorConfigProps { onClose: () => void; } interface BehaviorSettings { useVisionOnUI: boolean; useSOMOnWeb: boolean; decompositionStrategy: "sequential" | "parallel" | "hierarchical" | "adaptive"; } export default function AgentBehaviorConfig({ onClose }: AgentBehaviorConfigProps) { const [settings, setSettings] = useState({ useVisionOnUI: true, useSOMOnWeb: true, decompositionStrategy: "adaptive" }); const [saveStatus, setSaveStatus] = useState<"idle" | "saving" | "success" | "error">("idle"); useEffect(() => { fetchBehaviorSettings(); }, []); const fetchBehaviorSettings = async () => { try { const response = await apiFetch("/api/agent/behavior"); if (response.ok) { const data = await response.json(); setSettings(data); } } catch (error) { console.error("Failed to fetch behavior settings:", error); } }; const handleSave = async () => { setSaveStatus("saving"); try { const response = await apiFetch("/api/agent/behavior", { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify(settings) }); if (response.ok) { setSaveStatus("success"); setTimeout(() => setSaveStatus("idle"), 2000); } else { setSaveStatus("error"); setTimeout(() => setSaveStatus("idle"), 2000); } } catch (error) { setSaveStatus("error"); setTimeout(() => setSaveStatus("idle"), 2000); console.error("Error saving behavior settings:", error); } }; return (
    e.stopPropagation()}>

    Agent Behavior Configuration

    UI Interaction Settings

    Enable vision capabilities for understanding and interacting with user interfaces. When enabled, the agent will use visual models to interpret UI elements.

    Web Action Settings

    Enable Set of Marks technique for web interactions. SOM helps the agent identify and interact with specific elements on web pages more accurately.

    Task Decomposition

    Choose how the agent breaks down complex tasks:
    Sequential: Execute tasks one after another in order
    Parallel: Execute independent tasks simultaneously
    Hierarchical: Break down into subtasks with dependencies
    Adaptive: Automatically choose the best strategy based on task complexity
    ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/AgentHumanConfig.tsx ================================================ import React, { useState, useEffect } from "react"; import { X, Save, Plus, Trash2, UserCog, Zap, Users as UsersIcon, Shield } from "lucide-react"; import { apiFetch } from "../../frontend/src/api"; import "./ConfigModal.css"; interface HumanInterventionRule { id: string; condition: string; enabled: boolean; } interface AgentHumanConfigData { autonomyLevel: 1 | 2 | 3; humanInTheLoop: boolean; requireConfirmationFor: { approvalOfPlans: boolean; criticalActions: boolean; financialTransactions: boolean; dataModification: boolean; externalCommunication: boolean; longRunningTasks: boolean; }; interventionRules: HumanInterventionRule[]; clarificationThreshold: number; autoApproveSimpleTasks: boolean; escalationEnabled: boolean; adaptiveLearning: { enabled: boolean; startWithHighOversight: boolean; learningRate: number; confidenceThreshold: number; memoryBased: boolean; trackSuccessRate: boolean; minInteractionsBeforeLearning: number; }; } interface AgentHumanConfigProps { onClose: () => void; } export default function AgentHumanConfig({ onClose }: AgentHumanConfigProps) { const [config, setConfig] = useState({ autonomyLevel: 2, humanInTheLoop: true, requireConfirmationFor: { approvalOfPlans: true, criticalActions: true, financialTransactions: true, dataModification: false, externalCommunication: true, longRunningTasks: false, }, interventionRules: [], clarificationThreshold: 70, autoApproveSimpleTasks: true, escalationEnabled: true, adaptiveLearning: { enabled: false, startWithHighOversight: true, learningRate: 50, confidenceThreshold: 85, memoryBased: true, trackSuccessRate: true, minInteractionsBeforeLearning: 10, }, }); const [saveStatus, setSaveStatus] = useState<"idle" | "saving" | "success" | "error">("idle"); const [newRule, setNewRule] = useState(""); useEffect(() => { loadConfig(); }, []); const loadConfig = async () => { try { const response = await apiFetch('/api/config/agent-human'); if (response.ok) { const data = await response.json(); setConfig({ autonomyLevel: (data.autonomyLevel as 1 | 2 | 3) ?? 2, humanInTheLoop: data.humanInTheLoop ?? true, requireConfirmationFor: data.requireConfirmationFor ?? { approvalOfPlans: true, criticalActions: true, financialTransactions: true, dataModification: false, externalCommunication: true, longRunningTasks: false, }, interventionRules: data.interventionRules ?? [], clarificationThreshold: data.clarificationThreshold ?? 70, autoApproveSimpleTasks: data.autoApproveSimpleTasks ?? true, escalationEnabled: data.escalationEnabled ?? true, adaptiveLearning: data.adaptiveLearning ?? { enabled: false, startWithHighOversight: true, learningRate: 50, confidenceThreshold: 85, memoryBased: true, trackSuccessRate: true, minInteractionsBeforeLearning: 10, }, }); } } catch (error) { console.error("Error loading config:", error); } }; const saveConfig = async () => { setSaveStatus("saving"); try { const response = await apiFetch('/api/config/agent-human', { method: 'POST', headers: { 'Content-Type': 'application/json' }, body: JSON.stringify(config), }); if (response.ok) { setSaveStatus("success"); setTimeout(() => setSaveStatus("idle"), 2000); } else { setSaveStatus("error"); setTimeout(() => setSaveStatus("idle"), 2000); } } catch (error) { setSaveStatus("error"); setTimeout(() => setSaveStatus("idle"), 2000); } }; const addRule = () => { if (newRule.trim()) { const rule: HumanInterventionRule = { id: Date.now().toString(), condition: newRule.trim(), enabled: true, }; setConfig({ ...config, interventionRules: [...config.interventionRules, rule], }); setNewRule(""); } }; const removeRule = (id: string) => { setConfig({ ...config, interventionRules: config.interventionRules.filter(r => r.id !== id), }); }; const toggleRule = (id: string) => { setConfig({ ...config, interventionRules: config.interventionRules.map(r => r.id === id ? { ...r, enabled: !r.enabled } : r ), }); }; const getAutonomyLabel = (level: 1 | 2 | 3) => { switch (level) { case 1: return "Safe - Always Asks"; case 2: return "Balanced - Sometimes Asks"; case 3: return "Risky - Rarely Asks"; default: return "Balanced - Sometimes Asks"; } }; const getAutonomyColor = (level: 1 | 2 | 3) => { switch (level) { case 1: return "#10b981"; // Green for safest (always asks) case 2: return "#f59e0b"; // Orange for moderate case 3: return "#ef4444"; // Red for riskiest (rarely asks) default: return "#f59e0b"; } }; return (
    e.stopPropagation()}>

    Agent / Human Interaction

    Autonomy Level

    Level {config.autonomyLevel} {getAutonomyLabel(config.autonomyLevel)}
    setConfig({ ...config, autonomyLevel: parseInt(e.target.value) as 1 | 2 | 3 })} className="autonomy-slider" style={{ background: `linear-gradient(to right, ${getAutonomyColor(config.autonomyLevel)} 0%, ${getAutonomyColor(config.autonomyLevel)} ${(config.autonomyLevel - 1) * 50}%, #e5e7eb ${(config.autonomyLevel - 1) * 50}%, #e5e7eb 100%)` }} />
    Safe
    Caution
    Risky
    Level 1 Level 2 Level 3
    Slide left for maximum safety (agent always asks) or right for higher risk but faster results
    Allow human oversight and intervention during agent execution
    Skip confirmation for low-risk operations
    Agent can escalate complex issues to human

    Require Confirmation For

    Return to Human When...

    setNewRule(e.target.value)} onKeyPress={(e) => { if (e.key === "Enter") { e.preventDefault(); addRule(); } }} placeholder="e.g., encountering sensitive data" disabled={!config.humanInTheLoop} style={{ width: "300px", padding: "6px 10px", fontSize: "13px" }} />
    {config.interventionRules.length === 0 ? (
    No intervention rules defined. Add conditions when the agent should return control to a human.
    ) : (
    {config.interventionRules.map((rule) => (
    toggleRule(rule.id)} disabled={!config.humanInTheLoop} /> {rule.condition}
    ))}
    )} Define specific scenarios when the agent should pause and request human input

    Adaptive Learning

    Agent learns from interactions and adjusts autonomy over time

    With adaptive learning, the agent starts cautious and gradually becomes more autonomous as it learns from successful interactions and builds confidence through memory.

    Agent asks frequently at first, then reduces questions as it learns
    Use past interactions from memory to inform decisions
    Monitor and learn from successful vs. corrected actions
    setConfig({ ...config, adaptiveLearning: { ...config.adaptiveLearning, minInteractionsBeforeLearning: parseInt(e.target.value) } })} min="1" max="100" disabled={!config.adaptiveLearning.enabled || !config.humanInTheLoop} /> Number of interactions required before agent starts adapting

    How It Works:

    • First Time: Agent asks for confirmation on most actions
    • After Success: If action succeeds and you approve, confidence increases
    • Pattern Recognition: Agent learns from similar past situations in memory
    • Gradual Autonomy: Over time, agent stops asking for familiar tasks
    • Context Aware: Still asks for new or high-risk situations
    ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/App.tsx ================================================ import { useState, Component, ErrorInfo, ReactNode, useCallback, useRef, useEffect } from "react"; import React from "react"; import { createRoot } from "react-dom/client"; import { CustomChat } from "./CustomChat"; import { ConfigHeader } from "./ConfigHeader"; import { LeftSidebar } from "./LeftSidebar"; import { StatusBar } from "./StatusBar"; import { WorkspacePanel } from "./WorkspacePanel"; import { KnowledgeSidePanel } from "./KnowledgeSidePanel"; import { FileAutocomplete } from "./FileAutocomplete"; import { GuidedTour, TourStep } from "./GuidedTour"; import { useTour } from "./useTour"; import { AdvancedTourButton } from "./AdvancedTourButton"; import { HelpCircle } from "lucide-react"; import * as api from "../../frontend/src/api"; import "./AppLayout.css"; import "./mockApi"; import "./workspaceThrottle"; // Enforce 3-second minimum interval between workspace API calls // Error Boundary Component class ErrorBoundary extends Component< { children: ReactNode }, { hasError: boolean; error: Error | null } > { constructor(props: { children: ReactNode }) { super(props); this.state = { hasError: false, error: null }; } static getDerivedStateFromError(error: Error) { return { hasError: true, error }; } componentDidCatch(error: Error, errorInfo: ErrorInfo) { console.error("Error caught by boundary:", error, errorInfo); } render() { if (this.state.hasError) { return (

    Something went wrong

    {this.state.error?.message || "Unknown error"}

    ); } return this.props.children; } } export function App() { const [globalVariables, setGlobalVariables] = useState>({}); const [variablesHistory, setVariablesHistory] = useState; }>>([]); const [selectedAnswerId, setSelectedAnswerId] = useState(null); const [workspacePanelOpen, setWorkspacePanelOpen] = useState(true); const [knowledgePanelOpen, setKnowledgePanelOpen] = useState(false); const [knowledgeEnabled, setKnowledgeEnabled] = useState(null); const [agentKnowledgeEnabled, setAgentKnowledgeEnabled] = useState(null); const [sessionKnowledgeEnabled, setSessionKnowledgeEnabled] = useState(null); const [agentLabel, setAgentLabel] = useState("this agent"); const [sessionDocsVersion, setSessionDocsVersion] = useState(0); const [knowledgeDocCount, setKnowledgeDocCount] = useState(0); const [leftSidebarCollapsed, setLeftSidebarCollapsed] = useState(false); const [highlightedFile, setHighlightedFile] = useState(null); const [activeTab, setActiveTab] = useState<"conversations" | "variables" | "savedflows">("conversations"); const [previousVariablesCount, setPreviousVariablesCount] = useState(0); const [previousHistoryLength, setPreviousHistoryLength] = useState(0); const [threadId, setThreadId] = useState(""); const [selectedThreadId, setSelectedThreadId] = useState(undefined); const leftSidebarRef = useRef<{ addConversation: (title: string) => void } | null>(null); // Initialize hasStartedChat from URL query parameter immediately const [hasStartedChat, setHasStartedChat] = useState(() => { const urlParams = new URLSearchParams(window.location.search); return urlParams.get('mode') === 'advanced'; }); // Update URL when entering advanced mode useEffect(() => { if (hasStartedChat) { const url = new URL(window.location.href); url.searchParams.set('mode', 'advanced'); window.history.replaceState({}, '', url.toString()); } }, [hasStartedChat]); // Fetch live agent context once on mount so chat respects the published config. useEffect(() => { api.getAgentContext() .then((res) => (res.ok ? res.json() : null)) .then((data) => { if (data) { const agentId = data.agent_id ?? "cuga-default"; setAgentLabel(agentId); setKnowledgeEnabled(data.knowledge_enabled ?? false); setAgentKnowledgeEnabled(data.agent_level_knowledge_enabled ?? false); setSessionKnowledgeEnabled(data.session_level_knowledge_enabled ?? false); api.setKnowledgeAgentId(agentId); } else { setKnowledgeEnabled(false); setAgentKnowledgeEnabled(false); setSessionKnowledgeEnabled(false); } }) .catch(() => { setKnowledgeEnabled(false); setAgentKnowledgeEnabled(false); setSessionKnowledgeEnabled(false); }); }, []); const { isTourActive, hasSeenTour, startTour, completeTour, skipTour, resetTour } = useTour(); // Handle variables updates from CustomChat const handleVariablesUpdate = useCallback((variables: Record, history: Array) => { console.log('[App] handleVariablesUpdate called'); console.log('[App] Variables keys:', Object.keys(variables)); console.log('[App] History length:', history.length); console.log('[App] Previous variables count:', previousVariablesCount); console.log('[App] Previous history length:', previousHistoryLength); const currentVariablesCount = Object.keys(variables).length; const currentHistoryLength = history.length; setGlobalVariables(variables); setVariablesHistory(history); // Only switch to variables tab when there's new data (more variables or longer history) const hasNewVariables = currentVariablesCount > previousVariablesCount; const hasNewHistory = currentHistoryLength > previousHistoryLength; if (hasNewVariables || hasNewHistory) { console.log('[App] Switching to variables tab - new data detected'); setActiveTab("variables"); } // Update previous counts setPreviousVariablesCount(currentVariablesCount); setPreviousHistoryLength(currentHistoryLength); }, [previousVariablesCount, previousHistoryLength]); // Handle message sent from CustomChat const handleMessageSent = useCallback((message: string) => { console.log('[App] handleMessageSent called with message:', message); console.log('[App] leftSidebarRef.current:', leftSidebarRef.current); // Add a new conversation to the left sidebar if (leftSidebarRef.current) { const title = message.length > 50 ? message.substring(0, 50) + "..." : message; console.log('[App] Calling addConversation with title:', title); leftSidebarRef.current.addConversation(title); } else { console.log('[App] leftSidebarRef.current is null'); } // Switch to conversations tab to show the new conversation setActiveTab("conversations"); }, []); // Handle chat started state const handleChatStarted = useCallback((started: boolean) => { setHasStartedChat(started); }, []); // Define tour steps const tourSteps: TourStep[] = [ { target: ".welcome-title", title: "Welcome to CUGA!", content: "CUGA is an intelligent digital agent that autonomously executes complex tasks through multi-agent orchestration, API integration, and code generation.", placement: "bottom", highlightPadding: 12, }, { target: "#main-input_field", title: "Chat Input", content: "Type your requests here. You can ask CUGA to manage contacts, read files, send emails, or perform any complex task.", placement: "top", highlightPadding: 10, }, { target: "#main-input_field", title: "File Tagging with @", content: "Type @ followed by a file name to tag files in your message. This allows CUGA to access and work with specific files from your workspace.", placement: "top", highlightPadding: 10, }, { target: ".example-utterances-widget", title: "Try Example Queries", content: "Click any of these example queries to get started quickly. These demonstrate the types of tasks CUGA can handle.", placement: "top", highlightPadding: 12, beforeShow: () => { const input = document.getElementById("main-input_field"); if (input) input.focus(); }, }, { target: ".welcome-features", title: "Key Features", content: "CUGA offers multi-agent coordination, secure code execution, API integration, and smart memory to handle complex workflows.", placement: "top", highlightPadding: 12, }, ]; // Disabled: Tour no longer starts automatically on welcome screen // Start tour automatically for first-time users after a delay // useEffect(() => { // if (!hasSeenTour && !hasStartedChat) { // const timer = setTimeout(() => { // startTour(); // }, 1000); // return () => clearTimeout(timer); // } // }, [hasSeenTour, hasStartedChat, startTour]); return (
    {hasStartedChat && ( setLeftSidebarCollapsed(!leftSidebarCollapsed)} onToggleWorkspace={() => setWorkspacePanelOpen(!workspacePanelOpen)} onToggleKnowledge={() => setKnowledgePanelOpen(!knowledgePanelOpen)} leftSidebarCollapsed={leftSidebarCollapsed} workspaceOpen={workspacePanelOpen} knowledgeOpen={knowledgePanelOpen} knowledgeDocCount={knowledgeDocCount} knowledgeEnabled={knowledgeEnabled} /> )}
    {hasStartedChat && ( )}
    setWorkspacePanelOpen(true)} onFileHover={setHighlightedFile} onMessageSent={handleMessageSent} onChatStarted={handleChatStarted} initialChatStarted={hasStartedChat} onThreadIdChange={setThreadId} externalThreadId={selectedThreadId} sessionDocsVersion={sessionDocsVersion} onSessionDocsChanged={() => setSessionDocsVersion((v) => v + 1)} knowledgeEnabled={sessionKnowledgeEnabled} />
    {hasStartedChat && ( <> setWorkspacePanelOpen(!workspacePanelOpen)} highlightedFile={highlightedFile} /> setKnowledgePanelOpen(!knowledgePanelOpen)} threadId={threadId} sessionDocsVersion={sessionDocsVersion} onSessionDocsChanged={() => setSessionDocsVersion((v) => v + 1)} onDocCountChanged={setKnowledgeDocCount} knowledgeEnabled={knowledgeEnabled} agentKnowledgeEnabled={agentKnowledgeEnabled} sessionKnowledgeEnabled={sessionKnowledgeEnabled} agentLabel={agentLabel} /> )}
    {hasStartedChat && } console.log("File selected:", path)} onAutocompleteOpen={() => setWorkspacePanelOpen(true)} onFileHover={setHighlightedFile} disabled={false} /> {/* Tour help button - welcome screen - DISABLED */} {/* {!hasStartedChat && hasSeenTour && ( )} */} {/* Advanced tour button - after chat started */} {hasStartedChat && } {/* Guided Tour - only show when chat has started (disabled on welcome screen) */} {hasStartedChat && isTourActive && ( )}
    ); } export function BootstrapAgentic(contentRoot: HTMLElement) { // Create a root for React to render into. console.log("Bootstrapping Agentic Chat in sidepanel"); const root = createRoot(contentRoot); // Render the App component into the root. root.render( ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/AppLayout.css ================================================ .app-layout { display: flex; flex-direction: column; height: 100vh; width: 100vw; overflow: hidden; background: #f8fafc; position: relative; } /* Welcome mode styles - no padding/margin, full screen, modern gradient */ .app-layout.welcome-mode { background: linear-gradient(180deg, #ffffff 0%, #f8fafc 50%, #f1f5f9 100%); } .app-layout.welcome-mode .main-layout { padding: 0; margin-bottom: 0; } .main-layout { display: flex; margin-top: 50px; flex: 1; overflow: hidden; position: relative; margin-bottom: 42px; padding-left: 20%; padding-right: 20%; background: linear-gradient(359deg, #e7f2ff, #ffffff); } @media (max-width: 1200px) { .main-layout { padding-left: 10%; padding-right: 10%; } } @media (max-width: 768px) { .main-layout { padding-left: 5%; padding-right: 5%; } } @media (max-width: 640px) { .main-layout { padding-left: 8px; padding-right: 8px; } } .chat-container { flex: 1; overflow: hidden; position: relative; border-radius: 8px; } /* Welcome mode - make chat take full width */ .app-layout.welcome-mode .chat-container { border-radius: 0; } .chat-container .fullScreen { height: 100%; width: 100%; } /* Ensure chat content doesn't overflow */ .chat-container > * { max-width: 100%; box-sizing: border-box; height: 100%; width: 100%; } /* Tour help button */ .tour-help-button { position: fixed; bottom: 24px; right: 24px; width: 52px; height: 52px; border-radius: 50%; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border: none; box-shadow: 0 4px 16px rgba(102, 126, 234, 0.4); cursor: pointer; display: flex; align-items: center; justify-content: center; transition: all 0.3s ease; z-index: 1000; animation: tourHelpPulse 2s ease-in-out infinite; } @keyframes tourHelpPulse { 0%, 100% { transform: scale(1); box-shadow: 0 4px 16px rgba(102, 126, 234, 0.4); } 50% { transform: scale(1.05); box-shadow: 0 6px 24px rgba(102, 126, 234, 0.6); } } .tour-help-button:hover { transform: scale(1.1); box-shadow: 0 6px 24px rgba(102, 126, 234, 0.6); animation: none; } .tour-help-button:active { transform: scale(1.05); } @media (max-width: 640px) { .tour-help-button { width: 46px; height: 46px; bottom: 16px; right: 16px; } } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/CardManager.css ================================================ /* Card Manager Styles */ .card-manager { background: linear-gradient(135deg, #f8fafc 0%, #e2e8f0 100%); border-radius: 12px; border: 1px solid #cbd5e1; box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1), 0 2px 4px -1px rgba(0, 0, 0, 0.06); margin: 16px 0; overflow: hidden; transition: all 0.3s ease; position: relative; } .card-manager.animating { transform: scale(1.02); box-shadow: 0 8px 25px -5px rgba(0, 0, 0, 0.1), 0 10px 10px -5px rgba(0, 0, 0, 0.04); } .card-header { background: linear-gradient(135deg, #3b82f6 0%, #1d4ed8 100%); color: white; padding: 16px 20px; display: flex; justify-content: space-between; align-items: center; position: relative; overflow: hidden; } .card-header::before { content: ''; position: absolute; top: -50%; right: -50%; width: 100%; height: 200%; background: linear-gradient(45deg, transparent, rgba(255, 255, 255, 0.1), transparent); transform: rotate(45deg); animation: shimmer 3s infinite; } @keyframes shimmer { 0% { transform: translateX(-100%) rotate(45deg); } 100% { transform: translateX(100%) rotate(45deg); } } .card-title h3 { margin: 0; font-size: 18px; font-weight: 600; display: flex; align-items: center; gap: 8px; } .card-title h3::before { content: '🤖'; font-size: 20px; } .step-counter { font-size: 12px; opacity: 0.9; margin-top: 2px; font-weight: 400; } .card-actions { display: flex; gap: 8px; align-items: center; } .history-button { background: rgba(255, 255, 255, 0.2); border: 1px solid rgba(255, 255, 255, 0.3); color: white; padding: 6px 12px; border-radius: 6px; font-size: 12px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; backdrop-filter: blur(10px); } .history-button:hover { background: rgba(255, 255, 255, 0.3); transform: translateY(-1px); } .card-content { padding: 20px; background: white; min-height: 100px; } .step-item { margin-bottom: 16px; opacity: 0; transform: translateY(20px); animation: slideInUp 0.5s ease forwards; } .step-item.new-step { animation: slideInUp 0.5s ease forwards, highlightPulse 2s ease 0.5s; } @keyframes slideInUp { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } } @keyframes highlightPulse { 0%, 100% { box-shadow: 0 0 0 0 rgba(59, 130, 246, 0.4); } 50% { box-shadow: 0 0 0 8px rgba(59, 130, 246, 0.1); } } .card-footer { background: linear-gradient(135deg, #10b981 0%, #059669 100%); color: white; padding: 16px 20px; display: flex; justify-content: space-between; align-items: center; border-top: 1px solid #d1fae5; } .completion-message { display: flex; align-items: center; gap: 8px; font-weight: 600; font-size: 14px; } .new-query-button { background: rgba(255, 255, 255, 0.2); border: 1px solid rgba(255, 255, 255, 0.3); color: white; padding: 8px 16px; border-radius: 6px; font-size: 12px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; backdrop-filter: blur(10px); } .new-query-button:hover { background: rgba(255, 255, 255, 0.3); transform: translateY(-1px); } /* History Modal Styles */ .history-modal-overlay { position: fixed; top: 0; left: 0; right: 0; bottom: 0; background: rgba(0, 0, 0, 0.5); display: flex; align-items: center; justify-content: center; z-index: 1000; backdrop-filter: blur(4px); animation: fadeIn 0.3s ease; } @keyframes fadeIn { from { opacity: 0; } to { opacity: 1; } } .history-modal { background: white; border-radius: 12px; box-shadow: 0 25px 50px -12px rgba(0, 0, 0, 0.25); max-width: 600px; width: 90%; max-height: 80vh; overflow: hidden; animation: slideInModal 0.3s ease; } @keyframes slideInModal { from { opacity: 0; transform: scale(0.9) translateY(-20px); } to { opacity: 1; transform: scale(1) translateY(0); } } .history-header { background: linear-gradient(135deg, #6366f1 0%, #4f46e5 100%); color: white; padding: 20px; display: flex; justify-content: space-between; align-items: center; } .history-header h3 { margin: 0; font-size: 18px; font-weight: 600; } .history-actions { display: flex; gap: 8px; align-items: center; } .clear-history-button, .close-history-button { background: rgba(255, 255, 255, 0.2); border: 1px solid rgba(255, 255, 255, 0.3); color: white; padding: 6px 12px; border-radius: 6px; font-size: 12px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; backdrop-filter: blur(10px); } .clear-history-button:hover, .close-history-button:hover { background: rgba(255, 255, 255, 0.3); } .close-history-button { padding: 6px; font-size: 16px; line-height: 1; } .history-content { padding: 20px; max-height: 60vh; overflow-y: auto; } .no-history { text-align: center; color: #6b7280; font-style: italic; padding: 40px 20px; } .history-card { border: 1px solid #e5e7eb; border-radius: 8px; padding: 16px; margin-bottom: 12px; background: #f9fafb; transition: all 0.2s ease; } .history-card:hover { border-color: #3b82f6; box-shadow: 0 4px 6px -1px rgba(0, 0, 0, 0.1); transform: translateY(-1px); } .history-card-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px; } .history-card-title { font-weight: 600; color: #374151; font-size: 14px; } .history-card-meta { font-size: 12px; color: #6b7280; } .history-card-preview { margin-bottom: 12px; } .history-step-preview { font-size: 12px; color: #4b5563; margin-bottom: 4px; padding-left: 8px; border-left: 2px solid #e5e7eb; } .history-step-more { font-size: 11px; color: #9ca3af; font-style: italic; padding-left: 8px; border-left: 2px solid #e5e7eb; } .restore-card-button { background: #3b82f6; color: white; border: none; padding: 6px 12px; border-radius: 6px; font-size: 12px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; } .restore-card-button:hover { background: #2563eb; transform: translateY(-1px); } /* In-Place Card Transitions */ .current-step-container { position: relative; overflow: hidden; min-height: 200px; transition: min-height 0.3s ease-in-out; } /* No container animation – instant switch */ .component-container.current-step { box-shadow: 0 4px 12px rgba(59, 130, 246, 0.15); border-color: #3b82f6; position: relative; overflow: hidden; } /* Loading step with sliding border animation */ /* Shared loading border lives on the persistent container so it continues across swaps */ .current-step-container.loading-border::before { content: ''; position: absolute; top: 0; left: -100%; width: 100%; height: 2px; background: linear-gradient(90deg, transparent, #3b82f6, #06b6d4, transparent); animation: borderSlide 2.5s ease-in-out infinite; z-index: 1; } @keyframes borderSlide { 0% { left: -100%; } 100% { left: 100%; } } @keyframes borderSlideReverse { 0% { right: -100%; } 100% { right: 100%; } } /* No appear animation */ /* Non-current steps rendered only in reasoning list; no fade */ .component-container:not(.current-step) {} /* Reasoning Process Collapse Animation */ .reasoning-section { transition: all 0.5s ease-in-out; } .reasoning-content { transition: max-height 0.5s ease-in-out, opacity 0.3s ease-in-out; overflow: hidden; } .reasoning-content.collapsed { max-height: 0; opacity: 0; } .reasoning-content.expanded { max-height: 2000px; opacity: 1; } /* Step Fade Transitions */ .step-fade-enter { opacity: 0; transform: translateY(20px); } .step-fade-enter-active { opacity: 1; transform: translateY(0); transition: opacity 0.3s ease-in-out, transform 0.3s ease-in-out; } .step-fade-exit { opacity: 1; transform: translateY(0); } .step-fade-exit-active { opacity: 0; transform: translateY(-20px); transition: opacity 0.3s ease-in-out, transform 0.3s ease-in-out; } /* Enhanced Card Hover Effects */ .component-container:hover { box-shadow: 0 8px 25px rgba(0, 0, 0, 0.1); transition: box-shadow 0.2s ease; } .component-container.current-step:hover { box-shadow: 0 8px 25px rgba(59, 130, 246, 0.2); } /* Smooth Loading Animation */ .loading-shimmer { background: linear-gradient(90deg, #f0f0f0 25%, #e0e0e0 50%, #f0f0f0 75%); background-size: 200% 100%; animation: shimmer 1.5s infinite; } @keyframes shimmer { 0% { background-position: -200% 0; } 100% { background-position: 200% 0; } } /* Responsive Design */ @media (max-width: 640px) { .card-header { flex-direction: column; gap: 8px; align-items: flex-start; } .card-actions { width: 100%; justify-content: flex-end; } .history-modal { width: 95%; margin: 20px; } .card-footer { flex-direction: column; gap: 12px; align-items: stretch; } .new-query-button { width: 100%; } .current-step-container.loading-border::before, .current-step-container.loading-border::after { display: none; } .current-step-container { min-height: 150px; } } /* Knowledge result cards in chat */ .knowledge-results { background: #f0fdf4; border: 1px solid #bbf7d0; border-radius: 8px; padding: 12px 16px; margin-top: 8px; } .knowledge-results-header { font-size: 14px; font-weight: 600; color: #166534; margin-bottom: 10px; } .knowledge-result-item { background: white; border: 1px solid #e5e7eb; border-radius: 6px; padding: 10px 12px; margin-bottom: 6px; } .knowledge-result-item:last-child { margin-bottom: 0; } .knowledge-result-meta { display: flex; justify-content: space-between; align-items: center; margin-bottom: 4px; } .knowledge-result-filename { font-size: 13px; font-weight: 500; color: #1f2937; } .knowledge-result-page { font-size: 11px; color: #6b7280; margin-left: 6px; } .knowledge-result-score { font-size: 12px; font-weight: 600; } .knowledge-result-content { margin: 0; font-size: 13px; color: #4b5563; line-height: 1.5; } .knowledge-chat-response { margin: 0 0 8px; font-size: 14px; color: #1f2937; line-height: 1.6; } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/CardManager.tsx ================================================ import React, { useState, useEffect, useCallback, useRef } from "react"; import { marked } from "marked"; // Simple ChatInstance interface (no Carbon dependency) interface ChatInstance { messaging: { addMessage?: (message: any) => Promise; addMessageChunk?: (chunk: any) => void; }; on?: (options: { type: string; handler: (event: any) => void }) => void; } import "./CardManager.css"; import "./CustomResponseStyles.css"; // Import components from CustomResponseExample import TaskStatusDashboard from "./task_status_component"; import ActionStatusDashboard from "./action_status_component"; import CoderAgentOutput from "./coder_agent_output"; import AppAnalyzerComponent from "./app_analyzer_component"; import TaskDecompositionComponent from "./task_decomposition"; import ShortlisterComponent from "./shortlister"; import SingleExpandableContent from "./generic_component"; import ActionAgent from "./action_agent"; import QaAgentComponent from "./qa_agent"; import { FollowupAction } from "./Followup"; import { fetchStreamingData } from "./StreamingWorkflow"; import ToolCallFlowDisplay from "./ToolReview"; import PolicyBlockComponent from "./PolicyBlockComponent"; import PolicyPlaybookComponent from "./PolicyPlaybookComponent"; interface Step { id: string; title: string; content: string; expanded: boolean; isNew?: boolean; timestamp: number; completed?: boolean; } // Color constant for highlighting important information const HIGHLIGHT_COLOR = "#4e00ec"; interface CardManagerProps { chatInstance: ChatInstance; threadId?: string; useDraftAgent?: boolean; } // Extend the global interface typing to include the new loader API declare global { interface Window { aiSystemInterface?: { addStep: (title: string, content: string) => void; getAllSteps: () => Step[]; stopProcessing: () => void; isProcessingStopped: () => boolean; setProcessingComplete: (isComplete: boolean) => void; forceReset: () => void; hasStepWithTitle: (title: string) => boolean; showNextCardLoader?: (show: boolean) => void; }; CUGA_DEBUG_LOADERS?: boolean; } } const CardManager: React.FC = ({ chatInstance, threadId, useDraftAgent }) => { const [currentSteps, setCurrentSteps] = useState([]); const [currentCardId, setCurrentCardId] = useState(null); const [isProcessingComplete, setIsProcessingComplete] = useState(false); const [showDetails, setShowDetails] = useState<{ [key: string]: boolean }>({}); const [isReasoningCollapsed, setIsReasoningCollapsed] = useState(false); const [hasFinalAnswer, setHasFinalAnswer] = useState(false); const [currentStepIndex, setCurrentStepIndex] = useState(0); const [isStopped, setIsStopped] = useState(false); const [viewMode, setViewMode] = useState<"inplace" | "append">("inplace"); const [globalVariables, setGlobalVariables] = useState>({}); const [variablesHistory, setVariablesHistory] = useState< Array<{ id: string; title: string; timestamp: number; variables: Record; }> >([]); const [selectedAnswerId, setSelectedAnswerId] = useState(null); const [expandedCodePreviews, setExpandedCodePreviews] = useState<{ [key: string]: boolean }>({}); // Loader for next step within this card is derived from processing state const cardRef = useRef(null); const stepRefs = useRef<{ [key: string]: HTMLDivElement | null }>({}); // Function to mark a step as completed const markStepCompleted = useCallback((stepId: string) => { setCurrentSteps((prev) => prev.map((step) => (step.id === stepId ? { ...step, completed: true } : step))); }, []); // Initialize global interface // No cross-card loader logic needed; loader will be shown within the card while processing useEffect(() => { if (typeof window !== "undefined") { console.log("Setting up global aiSystemInterface"); window.aiSystemInterface = { addStep: (title: string, content: string) => { console.log("🎯 addStep called:", title, content); console.log("🎯 Content type:", typeof content); console.log("🎯 Current steps before adding:", currentSteps.length); // If content is JSON string, try to parse and log it if (typeof content === "string" && (content.startsWith("{") || content.startsWith("["))) { try { const parsed = JSON.parse(content); console.log("🎯 Parsed content:", parsed); console.log("🎯 Has variables:", !!parsed.variables); console.log("🎯 Variables keys:", parsed.variables ? Object.keys(parsed.variables) : []); } catch (e) { console.log("🎯 Failed to parse content as JSON"); } } const newStep: Step = { id: `step-${Date.now()}-${Math.random()}`, title, content, expanded: true, isNew: true, timestamp: Date.now(), }; setCurrentSteps((prev) => { console.log("🎯 setCurrentSteps called with prev length:", prev.length); // If this is the first step, start a new card if (prev.length === 0) { const newCardId = `card-${Date.now()}`; setCurrentCardId(newCardId); console.log("🎯 First step - creating new card:", newCardId); return [newStep]; } // Otherwise, add to current card console.log("🎯 Adding to existing card"); return [...prev, newStep]; }); // Handle in-place card switching vs append mode if (viewMode === "inplace") { if (currentSteps.length > 0) { setCurrentStepIndex((prev) => prev + 1); } else { setCurrentStepIndex(0); } } // Auto-expand "Waiting for your input" components and collapse reasoning if (title === "SuggestHumanActions") { setShowDetails((prev) => ({ ...prev, [newStep.id]: true, })); // Collapse reasoning process when user action is needed setIsReasoningCollapsed(true); } // Check if this is a final answer step (only Answer, not FinalAnswerAgent) if (title === "Answer") { console.log("🎯 Final answer detected, triggering reasoning collapse"); setHasFinalAnswer(true); // Collapse reasoning immediately when final answer arrives setIsReasoningCollapsed(true); // Show details by default for final answer setShowDetails((prev) => ({ ...prev, [newStep.id]: true, })); // Emit event to notify parent that final answer is complete setTimeout(() => { const event = new CustomEvent("finalAnswerComplete", { detail: { stepId: newStep.id }, }); window.dispatchEvent(event); console.log("🎯 Emitted finalAnswerComplete event"); }, 500); } }, // No external loader toggle needed for within-card loading getAllSteps: () => currentSteps, stopProcessing: () => { setIsStopped(true); setIsProcessingComplete(true); setIsReasoningCollapsed(true); setShowDetails({}); setExpandedCodePreviews({}); }, isProcessingStopped: () => isProcessingComplete, setProcessingComplete: (isComplete: boolean) => { setIsProcessingComplete(isComplete); }, forceReset: () => { setCurrentSteps([]); setIsProcessingComplete(false); setCurrentCardId(null); setIsReasoningCollapsed(false); setHasFinalAnswer(false); setCurrentStepIndex(0); setIsStopped(false); setShowDetails({}); setExpandedCodePreviews({}); stepRefs.current = {}; // Note: variablesHistory is preserved across conversations }, hasStepWithTitle: (title: string) => { return currentSteps.some((step) => step.title === title); }, }; } }, [currentSteps, currentCardId, isProcessingComplete, viewMode]); // Auto-scroll to latest step useEffect(() => { if (currentSteps.length > 0) { const timeoutId = setTimeout(() => { const latestStep = currentSteps[currentSteps.length - 1]; const latestStepRef = stepRefs.current[latestStep.id]; if (latestStepRef) { latestStepRef.scrollIntoView({ behavior: "smooth", block: "center", }); } else if (cardRef.current) { // Fallback to container scroll if step ref not found cardRef.current.scrollIntoView({ behavior: "smooth", block: "center", }); } }, 100); return () => clearTimeout(timeoutId); } }, [currentSteps.length]); // Cleanup step refs on unmount useEffect(() => { return () => { stepRefs.current = {}; }; }, []); // Extract variables from final answer steps and track by turn useEffect(() => { console.log("[Variables Debug] Processing steps, total:", currentSteps.length); const newHistory: Array<{ id: string; title: string; timestamp: number; variables: Record; }> = []; let turnNumber = 0; currentSteps.forEach((step) => { console.log("[Variables Debug] Step:", step.title, "Type:", typeof step.content); // Only process Answer or FinalAnswerAgent steps if (step.title !== "Answer" && step.title !== "FinalAnswerAgent") { return; } console.log("[Variables Debug] Processing Answer/FinalAnswerAgent step"); try { let parsedContent: any; let variables: Record = {}; if (typeof step.content === "string") { try { parsedContent = JSON.parse(step.content); console.log("[Variables Debug] Parsed JSON content:", parsedContent); // Check if we have variables in the parsed content if (parsedContent.data !== undefined && parsedContent.variables) { variables = parsedContent.variables; console.log("[Variables Debug] Found variables in data:", variables); } else if (parsedContent.variables) { variables = parsedContent.variables; console.log("[Variables Debug] Found variables directly:", variables); } } catch (e) { console.log("[Variables Debug] Failed to parse JSON:", e); } } else if (step.content && typeof step.content === "object" && "variables" in step.content) { const contentWithVars = step.content as { variables?: Record }; if (contentWithVars.variables) { variables = contentWithVars.variables; console.log("[Variables Debug] Found variables in object:", variables); } } // Only add to history if this step has variables if (Object.keys(variables).length > 0) { console.log("[Variables Debug] Adding to history with", Object.keys(variables).length, "variables"); newHistory.push({ id: step.id, title: `Turn ${turnNumber}`, timestamp: step.timestamp, variables: variables, }); turnNumber++; } else { console.log("[Variables Debug] No variables found in this step"); } } catch (e) { console.log("[Variables Debug] Error processing step:", e); } }); // Update history only if it actually changed setVariablesHistory((prev) => { // Check if history actually changed if (prev.length !== newHistory.length) { console.log("Variables history updated: length changed", prev.length, "->", newHistory.length); return newHistory; } // Check if any entries are different const hasChanges = prev.some((entry, index) => { const newEntry = newHistory[index]; return ( !newEntry || entry.id !== newEntry.id || JSON.stringify(entry.variables) !== JSON.stringify(newEntry.variables) ); }); if (hasChanges) { console.log("Variables history updated: content changed"); } return hasChanges ? newHistory : prev; }); // Update selectedAnswerId based on available history setSelectedAnswerId((currentSelectedId) => { // If we have new history from current steps, use that if (newHistory.length > 0) { if (currentSelectedId && newHistory.find((e) => e.id === currentSelectedId)) { // Keep current selection if it still exists in new history return currentSelectedId; } // Auto-select most recent from new history console.log("Auto-selecting most recent turn:", newHistory[newHistory.length - 1].title); return newHistory[newHistory.length - 1].id; } // No new history from current steps, check if we have existing history // This happens when forceReset is called - we want to preserve selection if (variablesHistory.length > 0) { if (currentSelectedId && variablesHistory.find((e) => e.id === currentSelectedId)) { // Keep current selection if it exists in existing history return currentSelectedId; } // Auto-select most recent from existing history console.log("Preserving selection from existing history:", variablesHistory[variablesHistory.length - 1].title); return variablesHistory[variablesHistory.length - 1].id; } // No history at all return null; }); }, [currentSteps]); // Update globalVariables based on selected answer useEffect(() => { if (selectedAnswerId) { const selected = variablesHistory.find((e) => e.id === selectedAnswerId); if (selected) { setGlobalVariables(selected.variables); } } else if (variablesHistory.length > 0) { // Default to most recent setGlobalVariables(variablesHistory[variablesHistory.length - 1].variables); } else { setGlobalVariables({}); } }, [selectedAnswerId, variablesHistory]); // Emit variables updates to App.tsx useEffect(() => { const event = new CustomEvent("variablesUpdate", { detail: { variables: globalVariables, history: variablesHistory, }, }); window.dispatchEvent(event); }, [globalVariables, variablesHistory]); // Toggle code preview expansion const toggleCodePreview = useCallback((stepId: string) => { setExpandedCodePreviews((prev) => ({ ...prev, [stepId]: !prev[stepId] })); }, []); // Helper function to check if a step should be rendered const shouldRenderStep = useCallback((step: Step) => { if (step.title === "simple_text") { return true; } // Parse content for description let parsedContent; try { if (typeof step.content === "string") { try { parsedContent = JSON.parse(step.content); const keys = Object.keys(parsedContent); if (keys.length === 1 && keys[0] === "data") { parsedContent = parsedContent.data; } } catch (e) { parsedContent = step.content; } } else { parsedContent = step.content; } } catch (error) { parsedContent = step.content; } const description = getCaseDescription(step.id, step.title, parsedContent); return description !== null; }, []); // Function to generate natural language descriptions for each case const getCaseDescription = (stepId: string, stepTitle: string, parsedContent: any) => { switch (stepTitle) { case "PlanControllerAgent": if (parsedContent.subtasks_progress && parsedContent.next_subtask) { const completed = parsedContent.subtasks_progress.filter((status: string) => status === "completed").length; const total = parsedContent.subtasks_progress.length; if (total === 0) { return `I'm managing the overall task progress. There's one next task. ${ parsedContent.conclude_task ? "The task is ready to be concluded." : `Next up: ${parsedContent.next_subtask}` }`; } return `I'm managing the overall task progress. Currently ${completed} out of ${total} subtasks are completed. ${ parsedContent.conclude_task ? "The task is ready to be concluded." : `Next up: ${parsedContent.next_subtask}` }`; } return "I'm analyzing the task structure and planning the execution approach."; case "TaskDecompositionAgent": const taskCount = parsedContent.task_decomposition?.length || 0; return `I've broken down your request into ${taskCount} manageable steps. Each step is designed to work with specific applications and accomplish a specific part of your overall goal.`; case "APIPlannerAgent": if ( parsedContent.action && (parsedContent.action_input_coder_agent || parsedContent.action_input_shortlisting_agent || parsedContent.action_input_conclude_task) ) { const actionType = parsedContent.action; if (actionType === "CoderAgent") { return `I'm preparing to write code for you. The task involves: ${ parsedContent.action_input_coder_agent?.task_description || "Code generation task" }`; } else if (actionType === "ApiShortlistingAgent") { const taskDesc = parsedContent.action_input_shortlisting_agent?.task_description; if (taskDesc) { const preview = taskDesc.length > 60 ? taskDesc.substring(0, 60) + "..." : taskDesc; return `I'm analyzing available APIs, ${preview}`; } return `I'm analyzing available APIs to find the best options for your request. This will help me understand what tools are available to accomplish your task.`; } else if (actionType === "ConcludeTask") { const taskDesc = parsedContent.action_input_conclude_task?.final_response; if (taskDesc) { const preview = taskDesc.length > 60 ? taskDesc.substring(0, 60) + "..." : taskDesc; return `I'm ready to provide you with the final answer based on all the work completed so far. ${preview}`; } return `I'm ready to provide you with the final answer based on all the work completed so far.`; } } return "I'm reflecting on the code and planning the next steps in the workflow."; case "Policy": // Handle all policy events with unified display if (parsedContent && parsedContent.type === "policy") { const policyName = parsedContent.policy_name || "Policy"; const policyType = parsedContent.policy_type || "unknown"; const isBlocked = parsedContent.policy_blocked || false; const icon = isBlocked ? "🛑" : policyType === "playbook" ? "📖" : policyType === "tool_guide" ? "🔧" : policyType === "tool_approval" ? "✋" : "📋"; const color = isBlocked ? "#ff6b6b" : "#3b82f6"; const action = isBlocked ? "Blocked" : policyType === "playbook" ? "Activated" : policyType === "tool_guide" ? "Enriched" : policyType === "tool_approval" ? "Requires Approval" : "Active"; return `${icon} Policy ${action} - ${policyName} (${policyType})`; } return "Policy enforcement in progress..."; case "PolicyBlock": // Legacy support if (parsedContent && parsedContent.type === "policy_block") { const policyName = parsedContent.metadata?.policy_name || "Security Policy"; return `🛡️ Intent Blocked - Your request was blocked by ${policyName} for security reasons.`; } return "Policy enforcement in progress..."; case "PolicyPlaybook": // Legacy support if (parsedContent && parsedContent.type === "policy_playbook") { const playbookName = parsedContent.metadata?.policy_name || "Workflow Playbook"; return `📖 Playbook Activated - Following ${playbookName} to guide you through this process.`; } return "A security policy has been applied to your request."; case "CodeAgent": // Check if we have meaningful content const hasCode = parsedContent.code && parsedContent.code.trim().length > 0; const hasOutput = parsedContent.execution_output && parsedContent.execution_output.trim().length > 0; if (hasCode || hasOutput) { // Handle case where we have code const codeLines = hasCode ? parsedContent.code.split("\n").length : 0; const allCodeLines = hasCode ? parsedContent.code.split("\n") : []; const isExpanded = expandedCodePreviews[stepId]; const maxPreviewLines = 4; const codePreviewLines = isExpanded ? allCodeLines : allCodeLines.slice(0, maxPreviewLines); const hasMoreLines = codeLines > maxPreviewLines; return (
    {hasCode && ( <> {parsedContent.execution_output ? ( I've generated and executed{" "} {codeLines} lines of code. Code preview: ) : ( I've generated{" "} {codeLines} lines of code to accomplish your request. Preview: )}
    {codePreviewLines.map((line: string, idx: number) => { return (
    {line || "\u00A0"}
    ); })} {!isExpanded && hasMoreLines &&
    ...
    } {hasMoreLines && ( )}
    )} {!hasCode && parsedContent.execution_output && Code execution completed. Output:} {parsedContent.execution_output && (() => { const output = parsedContent.execution_output.trim(); const outputLines = output.split("\n"); const isOutputExpanded = expandedCodePreviews[`${stepId}_output`]; const maxPreviewLines = 3; const previewLines = isOutputExpanded ? outputLines : outputLines.slice(0, maxPreviewLines); const hasMoreOutput = outputLines.length > maxPreviewLines || output.length > 300; return (
    Execution Output:
    {previewLines.map((line: string, idx: number) => { return (
    {line || "\u00A0"}
    ); })} {!isOutputExpanded && hasMoreOutput &&
    ...
    } {hasMoreOutput && ( )}
    ); })()}
    ); } // Return null to skip rendering empty CodeAgent events return null; case "CodeAgent_Reasoning": // Text response from LLM (no code) if (typeof parsedContent === "string" && parsedContent) { const isExpanded = expandedCodePreviews[stepId]; const maxPreviewLength = 200; const hasMoreContent = parsedContent.length > maxPreviewLength; const displayContent = isExpanded ? parsedContent : parsedContent.substring(0, maxPreviewLength); return (
    I'm reasoning about your request:
    {displayContent} {!isExpanded && hasMoreContent && ...} {hasMoreContent && ( )}
    ); } // Return null to skip rendering empty CodeAgent_Reasoning events return null; case "ShortlisterAgent": if (parsedContent.result) { const apiCount = parsedContent.result.length; const topResult = parsedContent.result[0]; const topScore = topResult?.relevance_score || 0; const apiName = topResult?.name || topResult?.title || "Unknown API"; const truncatedName = apiName.length > 30 ? apiName.substring(0, 30) + "..." : apiName; return `I've analyzed and shortlisted ${apiCount} relevant APIs for your request. The top match is ${truncatedName} with a ${Math.round( topScore * 100 )}% relevance score.`; } return "I'm analyzing available APIs to find the most relevant ones for your request."; case "TaskAnalyzerAgent": if (parsedContent && Array.isArray(parsedContent)) { const appNames = parsedContent .map((app) => `${app.name}`) .join(", "); return `I've identified ${parsedContent.length} integrated applications that can help with your request: ${appNames}. These apps are ready to be used in the workflow.`; } return "I'm analyzing the available applications to understand what tools we can use."; case "PlannerAgent": return `I'm planning the next action in the workflow. This involves determining the best approach to continue working on your request.`; case "QaAgent": if (parsedContent.name && parsedContent.answer) { return `I've analyzed the question "${ parsedContent.name }" and provided a comprehensive answer with ${ parsedContent.answer.split(" ").length } words.`; } return "I'm processing a question and preparing a detailed answer."; case "FinalAnswerAgent": if (parsedContent.final_answer) { return `I've completed your request and prepared the final answer.`; } return "I'm preparing the final answer to your request."; case "ReuseAgent": if (typeof parsedContent === "string") return parsedContent.split("\n")[0]; return "Save and reuse operation completed."; case "SuggestHumanActions": if (parsedContent.action_id) { return "I'm waiting for your input to continue. Please review the suggested action and let me know how you'd like to proceed."; } return "I'm preparing suggestions for your next action."; case "APICodePlannerAgent": const contentPreview = typeof parsedContent === "string" ? parsedContent : JSON.stringify(parsedContent); const preview = contentPreview.length > 80 ? contentPreview.substring(0, 80) + "..." : contentPreview; return `I've generated a plan for the coding agent to follow. Plan preview: ${preview}`; default: return ""; } }; // Memoized function to render the appropriate component based on step title and content const renderStepContent = useCallback( (step: Step, allSteps?: Step[]) => { try { let parsedContent: any; if (typeof step.content === "string") { try { parsedContent = JSON.parse(step.content); const keys = Object.keys(parsedContent); console.log(`[${step.title}] Raw parsed content:`, parsedContent); console.log(`[${step.title}] Has data:`, parsedContent.data !== undefined); console.log(`[${step.title}] Has variables:`, !!parsedContent.variables); // Check if we have variables in the parsed content if (parsedContent.data !== undefined && parsedContent.variables) { console.log(`[${step.title}] Processing with variables...`); // Parse data if it's a JSON string let dataValue = parsedContent.data; let extractedPolicies: any[] = parsedContent.active_policies || []; if (typeof dataValue === "string") { try { const parsedData = JSON.parse(dataValue); // Check if the parsed data is a policy object if (parsedData && typeof parsedData === "object" && parsedData.type === "policy") { extractedPolicies = [parsedData]; // Use the content as final_answer if it's a policy dataValue = parsedData.content || parsedData.response_content || dataValue; } } catch (e) { // Not JSON, keep as string } } else if (dataValue && typeof dataValue === "object" && dataValue.type === "policy") { // Data is already a policy object extractedPolicies = [dataValue]; dataValue = dataValue.content || dataValue.response_content || ""; } // For Answer step with variables: treat data as final_answer if (step.title === "Answer" || step.title === "FinalAnswerAgent") { parsedContent = { final_answer: dataValue, variables: parsedContent.variables, active_policies: extractedPolicies, }; console.log(`[${step.title}] Converted to final_answer format:`, parsedContent); } else if (typeof parsedContent.data === "object" && !Array.isArray(parsedContent.data)) { // Keep both data and variables if data is an object parsedContent = { ...parsedContent.data, variables: parsedContent.variables, active_policies: extractedPolicies, }; } else { // If data is not an object, keep as is with variables parsedContent = { data: dataValue, variables: parsedContent.variables, active_policies: extractedPolicies, }; } } else if (keys.length === 1 && keys[0] === "data") { // Only data, no variables - check if data is a policy JSON string let dataValue = parsedContent.data; let extractedPolicies: any[] = []; if (typeof dataValue === "string") { try { const parsedData = JSON.parse(dataValue); if (parsedData && typeof parsedData === "object" && parsedData.type === "policy") { extractedPolicies = [parsedData]; // For playbook, the content is the guide, not the final answer // The final answer should come from elsewhere or be empty const isPlaybook = parsedData.policy_type === "playbook"; parsedContent = { final_answer: isPlaybook ? "" : (parsedData.content || parsedData.response_content || ""), active_policies: extractedPolicies, }; } else { parsedContent = dataValue; } } catch (e) { parsedContent = dataValue; } } else if (dataValue && typeof dataValue === "object" && dataValue.type === "policy") { extractedPolicies = [dataValue]; const isPlaybook = dataValue.policy_type === "playbook"; parsedContent = { final_answer: isPlaybook ? "" : (dataValue.content || dataValue.response_content || ""), active_policies: extractedPolicies, }; } else { parsedContent = dataValue; } } else if (parsedContent.active_policies) { // Preserve active_policies even if no variables parsedContent = { ...parsedContent, active_policies: parsedContent.active_policies, }; } } catch (e) { parsedContent = step.content; // fallback } } else { parsedContent = step.content; // already an object } let outputElements = []; // Only render ToolCallFlowDisplay for non-SuggestHumanActions steps // SuggestHumanActions uses FollowupAction component which handles its own display if ( step.title !== "SuggestHumanActions" && parsedContent && parsedContent.additional_data && parsedContent.additional_data.tool ) { const newElem = ; outputElements.push(newElem); } // Detect knowledge tool results by tool identity const toolName = parsedContent?.additional_data?.tool?.name || ""; if (toolName.endsWith("search_knowledge")) { try { const searchData = typeof parsedContent.data === "string" ? JSON.parse(parsedContent.data) : parsedContent.data || parsedContent; if (searchData?.results) { const resultItems = searchData.results as Array<{ filename: string; page?: number; content: string; score: number }>; outputElements.push(
    📚 Knowledge Search Results ({resultItems.length})
    {resultItems.map((r: any, i: number) => (
    📄 {r.filename}{r.page != null && p.{r.page}} 0.8 ? "#10b981" : r.score > 0.5 ? "#f59e0b" : "#ef4444" }}> {(r.score * 100).toFixed(0)}%

    {r.content?.length > 300 ? r.content.slice(0, 300) + "..." : r.content}

    ))}
    ); return
    {outputElements}
    ; } } catch { /* fall through to default rendering */ } } if (toolName.endsWith("chat_knowledge")) { try { const chatData = typeof parsedContent.data === "string" ? JSON.parse(parsedContent.data) : parsedContent.data || parsedContent; if (chatData?.response || chatData?.sources) { const sources = (chatData.sources || []) as Array<{ filename: string; page?: number; content: string; relevance_score: number }>; outputElements.push(
    📚 Knowledge Answer
    {chatData.response &&

    {chatData.response}

    } {sources.length > 0 && (
    Sources ({sources.length}) {sources.map((s: any, i: number) => (
    📄 {s.filename}{s.page != null && p.{s.page}} 0.8 ? "#10b981" : (s.relevance_score || 0) > 0.5 ? "#f59e0b" : "#ef4444" }}> {((s.relevance_score || 0) * 100).toFixed(0)}%

    {s.content?.length > 200 ? s.content.slice(0, 200) + "..." : s.content}

    ))}
    )}
    ); return
    {outputElements}
    ; } } catch { /* fall through to default rendering */ } } let mainElement = null; switch (step.title) { case "PlanControllerAgent": if (parsedContent.subtasks_progress && parsedContent.next_subtask) { mainElement = ; } break; case "TaskDecompositionAgent": mainElement = ; break; case "APIPlannerAgent": if ( parsedContent.action && (parsedContent.action_input_coder_agent || parsedContent.action_input_shortlisting_agent || parsedContent.action_input_conclude_task) ) { mainElement = ; } else { mainElement = ; } break; case "CodeAgent": if (parsedContent.code || parsedContent.execution_output) { mainElement = ; } break; case "Policy": // Handle all policy events with unified JSON display if (parsedContent && parsedContent.type === "policy") { const policyType = parsedContent.policy_type || "unknown"; const policyName = parsedContent.policy_name || "Unknown Policy"; const isBlocked = parsedContent.policy_blocked || false; mainElement = (
    {isBlocked ? "🛑" : policyType === "playbook" ? "📖" : policyType === "tool_guide" ? "🔧" : policyType === "tool_approval" ? "✋" : "📋"}

    {isBlocked ? "Policy Blocked" : "Policy Active"}: {policyName} 

                          {JSON.stringify(parsedContent, null, 2)}
    ); } break; case "PolicyBlock": // Legacy support - redirect to Policy if (parsedContent && parsedContent.type === "policy_block") { mainElement = ; } break; case "PolicyPlaybook": // Legacy support - redirect to Policy if (parsedContent && parsedContent.type === "policy_playbook") { mainElement = ; } break; case "CodeAgent_Reasoning": // Display reasoning text in a clean format if (typeof parsedContent === "string" || parsedContent) { const textContent = typeof parsedContent === "string" ? parsedContent : JSON.stringify(parsedContent, null, 2); mainElement = (
    ); } break; case "ShortlisterAgent": if (parsedContent) { mainElement = ; } break; case "WaitForResponse": return null; case "TaskAnalyzerAgent": if (parsedContent && Array.isArray(parsedContent)) { mainElement = ; } break; case "PlannerAgent": if (parsedContent) { mainElement = ; } break; case "simple_text_box": if (parsedContent) { mainElement = parsedContent; } break; case "QaAgent": if (parsedContent) { mainElement = ; } break; case "Answer": case "FinalAnswerAgent": if (parsedContent) { console.log("Answer/FinalAnswerAgent - parsedContent:", parsedContent); // Check if data field contains a policy object - if so, extract answer and policies let answerText = parsedContent.final_answer || (typeof parsedContent === "string" ? parsedContent : null); let activePolicies = parsedContent.active_policies || []; if (parsedContent.data && typeof parsedContent.data === "object" && parsedContent.data.type === "policy") { // Data is a policy object - extract policies and check for answer const policyData = parsedContent.data; activePolicies = [policyData]; // For playbook, answer comes separately, but for other policies, content might be the answer if (policyData.policy_type !== "playbook" && !answerText) { answerText = policyData.content || policyData.metadata?.response_content || null; } } // Find playbook policy if any const playbookPolicy = activePolicies.find((policy: any) => policy.policy_type === "playbook"); // Extract playbook guide content let playbookGuideContent = ""; if (playbookPolicy) { playbookGuideContent = playbookPolicy.metadata?.playbook_content || playbookPolicy.metadata?.playbook_guidance || ""; if (!playbookGuideContent && playbookPolicy.content) { const content = playbookPolicy.content; const cleanedContent = content.replace(/^## 📖[^\n]*\n\n?/, ""); playbookGuideContent = cleanedContent; } } // For Answer events with playbook policy, ALWAYS look for FinalAnswerAgent step to get the actual final answer // The FinalAnswerAgent's final_answer should take precedence over any other answer text // IMPORTANT: For playbook policies, the answer should NEVER be the playbook guide content if (step.title === "Answer" && playbookPolicy && allSteps) { console.log("Answer - Playbook policy detected, looking for FinalAnswerAgent step in", allSteps.length, "steps"); const finalAnswerStep = allSteps.find((s: Step) => s.title === "FinalAnswerAgent"); if (finalAnswerStep) { console.log("Answer - Found FinalAnswerAgent step:", finalAnswerStep.id); try { let finalAnswerContent: any; if (typeof finalAnswerStep.content === "string") { finalAnswerContent = JSON.parse(finalAnswerStep.content); } else { finalAnswerContent = finalAnswerStep.content; } console.log("Answer - FinalAnswerAgent parsed content:", finalAnswerContent); const finalAnswerFromAgent = finalAnswerContent.final_answer || null; if (finalAnswerFromAgent) { // Prioritize FinalAnswerAgent's final_answer over any other answer text answerText = finalAnswerFromAgent; console.log("Answer - Using FinalAnswerAgent's final_answer:", answerText); } else { console.log("Answer - FinalAnswerAgent step found but no final_answer field"); // Don't use playbook content as answer - leave answerText as null/empty answerText = null; } } catch (e) { console.log("Answer - Error parsing FinalAnswerAgent content:", e); // Don't use playbook content as answer - leave answerText as null/empty answerText = null; } } else { console.log("Answer - Playbook policy found but no FinalAnswerAgent step available yet"); // Don't use playbook content as answer - leave answerText as null/empty answerText = null; } } else if (step.title === "Answer" && playbookPolicy) { // Playbook policy but no allSteps available - don't use playbook content as answer console.log("Answer - Playbook policy found but allSteps not available"); answerText = null; } console.log("Answer/FinalAnswerAgent - answerText:", answerText); console.log("Answer/FinalAnswerAgent - activePolicies:", activePolicies); console.log("Answer/FinalAnswerAgent - playbookGuideContent:", playbookGuideContent); if (answerText) { let renderedContent: string; if (typeof answerText === "string") { // Check if content is in markdown HTML code block (```html ... ```) const htmlCodeBlockMatch = answerText.match(/^```html\s*\n([\s\S]*?)\n```$/); if (htmlCodeBlockMatch) { // Extract HTML from code block and render as HTML renderedContent = htmlCodeBlockMatch[1]; } else if (/<[a-z][\s\S]*>/i.test(answerText)) { // Direct HTML content renderedContent = answerText; } else { // Regular markdown content renderedContent = marked(answerText) as string; } } else { renderedContent = marked(String(answerText)) as string; } mainElement = (
    {/* 1. Answer text - always show */}
    0) ? "20px" : "0", }} dangerouslySetInnerHTML={{ __html: renderedContent }} /> {/* 2. Playbook guide content (collapsible if available) */} {playbookGuideContent && (
    📖 Task Guide
    Steps: ▼ Show steps
    )} {/* 3. Policy reasoning (all policies including playbook) */} {activePolicies.length > 0 && (
    {activePolicies.map((policy: any, index: number) => { const policyMetadata = policy.metadata || {}; const policyReasoning = policyMetadata.policy_reasoning || ""; const policyType = policy.policy_type || "unknown"; const policyName = policy.policy_name || "Unknown Policy"; const isBlocked = policy.policy_blocked || false; if (!policyReasoning) return null; // More subtle design for intent_guard policies const isIntentGuard = policyType === "intent_guard"; const backgroundColor = isIntentGuard ? "#f8fafc" : isBlocked ? "#fef2f2" : policyType === "tool_approval" ? "#fffbeb" : policyType === "playbook" ? "#eff6ff" : policyType === "tool_guide" ? "#f0fdf4" : policyType === "output_formatter" ? "#fef3f2" : "#f1f5f9"; const borderColor = isIntentGuard ? "#e2e8f0" : isBlocked ? "#ef4444" : policyType === "tool_approval" ? "#f59e0b" : policyType === "playbook" ? "#3b82f6" : policyType === "tool_guide" ? "#10b981" : policyType === "output_formatter" ? "#f97316" : "#64748b"; const icon = isIntentGuard ? "ℹ️" : policyType === "playbook" ? "📖" : policyType === "tool_guide" ? "🔧" : policyType === "tool_approval" ? "✋" : policyType === "output_formatter" ? "✨" : "📋"; return (
    0 ? "12px" : "0", padding: isIntentGuard ? "12px 16px" : "16px", backgroundColor: backgroundColor, border: isIntentGuard ? `1px solid ${borderColor}` : `2px solid ${borderColor}`, borderRadius: "8px", boxShadow: isIntentGuard ? "none" : "0 1px 3px rgba(0, 0, 0, 0.1)", }} >
    {isBlocked ? (
    Blocked
    ) : ( {icon} )} {!isBlocked && (

    {policyName}

    )} {isBlocked && (

    {policyName}

    )} {policyType.replace("_", " ")}
    {!isIntentGuard && (
    Policy Reasoning
    )}
    {policyReasoning}
    ); })}
    )}
    ); } else if (playbookGuideContent || activePolicies.length > 0) { // No answer text, but we have playbook or policies to show mainElement = (
    {/* Playbook guide content (collapsible if available) */} {playbookGuideContent && (
    0 ? "20px" : "0" }}>
    📖 Task Guide
    Steps: ▼ Show steps
    )} {/* Policy reasoning (all policies including playbook) */} {activePolicies.length > 0 && (
    {activePolicies.map((policy: any, index: number) => { const policyMetadata = policy.metadata || {}; const policyReasoning = policyMetadata.policy_reasoning || ""; const policyType = policy.policy_type || "unknown"; const policyName = policy.policy_name || "Unknown Policy"; const isBlocked = policy.policy_blocked || false; if (!policyReasoning) return null; const isIntentGuard = policyType === "intent_guard"; const backgroundColor = isIntentGuard ? "#f8fafc" : isBlocked ? "#fef2f2" : policyType === "tool_approval" ? "#fffbeb" : policyType === "playbook" ? "#eff6ff" : policyType === "tool_guide" ? "#f0fdf4" : policyType === "output_formatter" ? "#fef3f2" : "#f1f5f9"; const borderColor = isIntentGuard ? "#e2e8f0" : isBlocked ? "#ef4444" : policyType === "tool_approval" ? "#f59e0b" : policyType === "playbook" ? "#3b82f6" : policyType === "tool_guide" ? "#10b981" : policyType === "output_formatter" ? "#f97316" : "#64748b"; const icon = isIntentGuard ? "ℹ️" : policyType === "playbook" ? "📖" : policyType === "tool_guide" ? "🔧" : policyType === "tool_approval" ? "✋" : policyType === "output_formatter" ? "✨" : "📋"; return (
    0 ? "12px" : "0", padding: isIntentGuard ? "12px 16px" : "16px", backgroundColor: backgroundColor, border: isIntentGuard ? `1px solid ${borderColor}` : `2px solid ${borderColor}`, borderRadius: "8px", boxShadow: isIntentGuard ? "none" : "0 1px 3px rgba(0, 0, 0, 0.1)", }} >
    {isBlocked ? (
    Blocked
    ) : ( {icon} )} {!isBlocked && (

    {policyName}

    )} {isBlocked && (

    {policyName}

    )} {policyType.replace("_", " ")}
    {!isIntentGuard && (
    Policy Reasoning
    )}
    {policyReasoning}
    ); })}
    )}
    ); } } break; case "SuggestHumanActions": if (parsedContent && parsedContent.action_id) { console.log("[SuggestHumanActions] Rendering FollowupAction with:", parsedContent); mainElement = ( { console.log("📤 Sending approval response:", d); console.log("📤 Using threadId:", threadId); // Mark this step as completed before proceeding markStepCompleted(step.id); await fetchStreamingData(chatInstance, "", d, threadId, useDraftAgent); }} /> ); } else { console.error("[SuggestHumanActions] Invalid parsedContent:", parsedContent); mainElement = (
    Error: Invalid action data received
    ); } break; default: const isJSONLike = parsedContent !== null && (typeof parsedContent === "object" || Array.isArray(parsedContent)) && !(parsedContent instanceof Date) && !(parsedContent instanceof RegExp); if (isJSONLike) { parsedContent = JSON.stringify(parsedContent, null, 2); parsedContent = `\`\`\`json\n${parsedContent}\n\`\`\``; } if (!parsedContent) { parsedContent = ""; } mainElement = ; } // Add main element to outputElements if it exists if (mainElement) { outputElements.push(mainElement); } return
    {outputElements}
    ; } catch (error) { console.log(`Failed to parse JSON for step ${step.title}:`, error); return null; } }, [chatInstance, markStepCompleted, currentSteps] ); // Memoized button click handler const handleToggleDetails = useCallback( (stepId: string) => { console.log("Button clicked for step:", stepId, "Current state:", showDetails[stepId]); setShowDetails((prev) => ({ ...prev, [stepId]: !prev[stepId] })); }, [showDetails] ); // Handle reasoning collapse toggle const handleToggleReasoning = useCallback(() => { setIsReasoningCollapsed((prev) => !prev); }, []); const mapStepTitle = (stepTitle: string, parsedContent?: any) => { // Handle CodeAgent dynamically based on execution output if (stepTitle === "CodeAgent" && parsedContent) { const hasExecutionOutput = parsedContent.execution_output && parsedContent.execution_output.trim().length > 0; return hasExecutionOutput ? "Executed Code" : "Generated Code"; } const titleMap = { TaskDecompositionAgent: "Decomposed task into steps", TaskAnalyzerAgent: "Analyzed available applications", PlanControllerAgent: "Controlled task execution", SuggestHumanActions: (
    Waiting for your input     ), APIPlannerAgent: "Planned API actions", APICodePlannerAgent: "Planned steps for coding agent", CodeAgent_Reasoning: "Reasoning about approach", ShortlisterAgent: "Shortlisted relevant APIs", QaAgent: "Answered question", FinalAnswerAgent: "Completed final answer", Answer: "Answer", }; return (titleMap as any)[stepTitle] || stepTitle; }; console.log("CardManager render - currentSteps:", currentSteps.length, "isProcessingComplete:", isProcessingComplete); // Check if there's an error step const hasErrorStep = currentSteps.some((step) => step.title === "Error"); // Separate final answer steps and active user action steps from reasoning steps // Only show Answer events as final answers (not FinalAnswerAgent) const finalAnswerSteps = currentSteps.filter((step) => { return step.title === "Answer" && shouldRenderStep(step); }); // Show SuggestHumanActions as active if it's not marked as completed const userActionSteps = currentSteps.filter((step) => { const isUserAction = step.title === "SuggestHumanActions" && !step.completed; return isUserAction && shouldRenderStep(step); }); // Include completed SuggestHumanActions in reasoning steps, excluding empty ones // FinalAnswerAgent goes in reasoning steps (collapsed), only Answer is shown as final answer const reasoningSteps = currentSteps.filter((step) => { const isNotFinalOrUserAction = step.title !== "Answer" && !(step.title === "SuggestHumanActions" && !step.completed); // Also exclude steps that shouldn't be rendered (empty CodeAgent events, etc.) return isNotFinalOrUserAction && shouldRenderStep(step); }); // Get current step to display (before final answer or user action) const currentStep = currentSteps[currentStepIndex]; const isShowingCurrentStep = !isStopped && viewMode === "inplace" && !hasFinalAnswer && userActionSteps.length === 0 && currentStep; const isLoading = !isStopped && currentSteps.length > 0 && !isProcessingComplete && !hasFinalAnswer && userActionSteps.length === 0 && !hasErrorStep; // Helper function to render a single step card const renderStepCard = (step: Step, isCurrentStep: boolean = false) => { // Parse content for description - match the logic in renderStepContent let parsedContent; try { if (typeof step.content === "string") { try { parsedContent = JSON.parse(step.content); const keys = Object.keys(parsedContent); // Check if we have variables in the parsed content (matching renderStepContent logic) if (parsedContent.data !== undefined && parsedContent.variables) { // Parse data if it's a JSON string let dataValue = parsedContent.data; let extractedPolicies: any[] = parsedContent.active_policies || []; if (typeof dataValue === "string") { try { const parsedData = JSON.parse(dataValue); // Check if the parsed data is a policy object if (parsedData && typeof parsedData === "object" && parsedData.type === "policy") { extractedPolicies = [parsedData]; // Use the content as final_answer if it's a policy dataValue = parsedData.content || parsedData.response_content || dataValue; } } catch (e) { // Not JSON, keep as string } } else if (dataValue && typeof dataValue === "object" && dataValue.type === "policy") { // Data is already a policy object extractedPolicies = [dataValue]; dataValue = dataValue.content || dataValue.response_content || ""; } // For Answer step with variables: treat data as final_answer if (step.title === "Answer" || step.title === "FinalAnswerAgent") { parsedContent = { final_answer: dataValue, variables: parsedContent.variables, active_policies: extractedPolicies, }; } else if (typeof parsedContent.data === "object" && !Array.isArray(parsedContent.data)) { // Keep both data and variables if data is an object parsedContent = { ...parsedContent.data, variables: parsedContent.variables, active_policies: extractedPolicies, }; } else { // If data is not an object, keep as is with variables parsedContent = { data: dataValue, variables: parsedContent.variables, active_policies: extractedPolicies, }; } } else if (keys.length === 1 && keys[0] === "data") { // Only data, no variables - check if data is a policy JSON string let dataValue = parsedContent.data; let extractedPolicies: any[] = []; if (typeof dataValue === "string") { try { const parsedData = JSON.parse(dataValue); if (parsedData && typeof parsedData === "object" && parsedData.type === "policy") { extractedPolicies = [parsedData]; parsedContent = { final_answer: parsedData.content || parsedData.response_content || "", active_policies: extractedPolicies, }; } else { parsedContent = dataValue; } } catch (e) { parsedContent = dataValue; } } else if (dataValue && typeof dataValue === "object" && dataValue.type === "policy") { extractedPolicies = [dataValue]; parsedContent = { final_answer: dataValue.content || dataValue.response_content || "", active_policies: extractedPolicies, }; } else { parsedContent = dataValue; } } } catch (e) { parsedContent = step.content; } } else { parsedContent = step.content; } } catch (error) { parsedContent = step.content; } if (step.title === "simple_text") { return (
    {step.content}
    ); } // Get description for rendering const description = getCaseDescription(step.id, step.title, parsedContent); // Skip rendering if description is null (e.g., empty CodeAgent events) if (description === null) { return null; } // Only render component content if details are shown const componentContent = showDetails[step.id] ? renderStepContent(step, currentSteps) : null; return (
    { stepRefs.current[step.id] = el; }} className={`component-container ${step.isNew ? "new-component" : ""} ${isCurrentStep ? "current-step" : ""}`} style={{ marginBottom: "16px", padding: "12px", paddingTop: "28px", backgroundColor: "#ffffff", borderRadius: "6px", border: "1px solid #e2e8f0", boxShadow: "0 1px 3px rgba(0, 0, 0, 0.05)", position: "relative", }} > {/* Component Title */}

    {mapStepTitle(step.title, parsedContent)}

    {/* Natural Language Description */}
    {/* Reuse the description computed earlier */} {React.isValidElement(description) ? ( description ) : ( )}
    {/* Component Content - Only show if showDetails is true */} {componentContent &&
    {componentContent}
    } {/* Top-right details toggle */}
    ); }; return ( <>
    {/* View mode toggle */} {!isStopped && (
    View:
    )} {/* Append mode */} {!isStopped && viewMode === "append" && currentSteps.length > 0 && (hasFinalAnswer ? (
    {/* Collapsed Reasoning wrapper with prior steps */} {reasoningSteps.length > 0 && (

    ▼ Reasoning Process {reasoningSteps.length} steps

    {isReasoningCollapsed ? "Click to expand" : "Click to collapse"}
    {reasoningSteps.map((step) => renderStepCard(step, false))}
    )} {/* Final Answer card(s) */} {finalAnswerSteps.map((step) => renderStepCard(step, false))}
    ) : (
    {currentSteps.map((step) => (
    {renderStepCard(step, false)}
    ))}
    ))} {/* When stopped, show a collapsed Reasoning section containing all steps */} {isStopped && currentSteps.length > 0 && (

    ▼ Reasoning Process {currentSteps.length} steps

    {isReasoningCollapsed ? "Click to expand" : "Click to collapse"}
    {currentSteps.map((step) => renderStepCard(step, false))}
    )} {/* Final outside card indicating interruption */} {isStopped && (

    Task Interrupted

    The task was stopped by the user.

    )} {/* Reasoning Section - Collapsible when final answer or user action is present */} {!isStopped && viewMode === "inplace" && (hasFinalAnswer || userActionSteps.length > 0) && reasoningSteps.length > 0 && (

    ▼ Reasoning Process {reasoningSteps.length} steps

    {isReasoningCollapsed ? "Click to expand" : "Click to collapse"}
    {reasoningSteps.map((step) => renderStepCard(step, false))}
    )} {/* Current Step Display - Shows one step at a time with smooth transitions */} {!isStopped && viewMode === "inplace" && isShowingCurrentStep && (
    {renderStepCard(currentStep, true)}
    )} {/* Final Answer Steps - Always visible (in-place mode) */} {!isStopped && viewMode === "inplace" && finalAnswerSteps.map((step) => renderStepCard(step, false))} {/* User Action Steps - Always visible when present (in-place mode) */} {!isStopped && viewMode === "inplace" && userActionSteps.map((step) => renderStepCard(step, false))} {/* Loading indicator - Only show when processing and no current step */} {!isStopped && viewMode === "inplace" && currentSteps.length > 0 && !isProcessingComplete && !hasFinalAnswer && userActionSteps.length === 0 && !hasErrorStep && !isShowingCurrentStep && (
    CUGA is thinking..
    )}
    ); }; export default CardManager; ================================================ FILE: src/frontend_workspaces/agentic_chat/src/ConfigHeader.css ================================================ .config-header { display: flex; justify-content: space-between; align-items: center; padding: 10px 16px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); border-bottom: 1px solid rgba(255, 255, 255, 0.1); box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1); height: 48px; flex-shrink: 0; } .config-header-left { display: flex; align-items: center; gap: 8px; color: white; } .config-header-icon { opacity: 0.9; width: 18px; height: 18px; } .config-header-title { font-size: 14px; font-weight: 600; letter-spacing: 0.3px; } .config-header-agent-context { font-size: 12px; font-weight: 400; opacity: 0.9; margin-left: 6px; } .config-header-buttons { display: flex; gap: 8px; } .config-header-btn { display: flex; align-items: center; gap: 6px; padding: 6px 12px; background: rgba(255, 255, 255, 0.15); border: 1px solid rgba(255, 255, 255, 0.2); border-radius: 6px; color: white; font-size: 13px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; backdrop-filter: blur(10px); white-space: nowrap; } .config-header-btn:hover { background: rgba(255, 255, 255, 0.25); border-color: rgba(255, 255, 255, 0.3); box-shadow: 0 1px 4px rgba(0, 0, 0, 0.1); } .config-header-btn:active { transform: translateY(0); } .config-header-btn:disabled { opacity: 0.4; cursor: not-allowed; background: rgba(255, 255, 255, 0.08); } .config-header-btn:disabled:hover { background: rgba(255, 255, 255, 0.08); border-color: rgba(255, 255, 255, 0.2); } /* Mobile responsiveness */ @media (max-width: 1024px) { .config-header { padding: 8px 12px; height: 44px; } .config-header-buttons { gap: 6px; } .config-header-btn { padding: 6px 10px; font-size: 12px; } .config-header-title { font-size: 13px; } } @media (max-width: 768px) { .config-header { padding: 8px 10px; height: 44px; } .config-header-buttons { gap: 4px; } .config-header-btn { padding: 6px 8px; font-size: 11px; min-width: 32px; } /* Hide text labels on very small screens, keep icons only */ .config-header-btn span { display: none; } .config-header-btn { padding: 8px; justify-content: center; min-width: 36px; min-height: 36px; } .config-header-title { font-size: 12px; } } @media (max-width: 480px) { .config-header { padding: 6px 8px; height: 40px; } .config-header-left { gap: 6px; } .config-header-icon { width: 16px; height: 16px; } .config-header-title { font-size: 11px; } .config-header-btn { padding: 6px; min-width: 32px; min-height: 32px; } } /* Touch-friendly improvements */ @media (hover: none) and (pointer: coarse) { .config-header-btn { min-height: 44px; min-width: 44px; padding: 10px; } .config-header-btn:hover { background: rgba(255, 255, 255, 0.2); } } /* Prevent text selection on mobile */ @media (max-width: 768px) { .config-header-btn { -webkit-user-select: none; -moz-user-select: none; -ms-user-select: none; user-select: none; } } /* Mobile Menu Styles */ .mobile-menu-overlay { position: fixed; top: 0; left: 0; right: 0; bottom: 0; background: rgba(0, 0, 0, 0.5); z-index: 1000; display: flex; align-items: flex-start; justify-content: flex-end; padding-top: 40px; padding-right: 10px; } .mobile-menu { background: white; border-radius: 12px; box-shadow: 0 8px 32px rgba(0, 0, 0, 0.2); width: 280px; max-height: calc(100vh - 60px); overflow-y: auto; animation: slideInFromRight 0.3s ease-out; } @keyframes slideInFromRight { from { transform: translateX(100%); opacity: 0; } to { transform: translateX(0); opacity: 1; } } .mobile-menu-header { display: flex; align-items: center; justify-content: space-between; padding: 16px 20px; border-bottom: 1px solid #e5e7eb; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-radius: 12px 12px 0 0; } .mobile-menu-header h3 { margin: 0; font-size: 18px; font-weight: 600; } .mobile-menu-close { background: none; border: none; color: white; cursor: pointer; padding: 4px; border-radius: 6px; transition: background 0.2s; } .mobile-menu-close:hover { background: rgba(255, 255, 255, 0.2); } .mobile-menu-content { padding: 8px 0; } .mobile-menu-item { display: flex; align-items: center; gap: 12px; width: 100%; padding: 14px 20px; background: none; border: none; text-align: left; cursor: pointer; color: #374151; font-size: 16px; font-weight: 500; transition: background 0.2s; border-bottom: 1px solid #f3f4f6; } .mobile-menu-item:hover { background: #f8fafc; } .mobile-menu-item:disabled { opacity: 0.4; cursor: not-allowed; color: #9ca3af; } .mobile-menu-item:disabled:hover { background: transparent; } .mobile-menu-item:last-child { border-bottom: none; } .mobile-menu-item span { flex: 1; } /* Mobile menu button specific styles */ .mobile-menu-btn { min-width: 44px !important; min-height: 44px !important; padding: 10px !important; display: flex !important; align-items: center !important; justify-content: center !important; } /* Hidden tabs - visually hidden but still in DOM */ .hidden-tab { display: none !important; } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/ConfigHeader.tsx ================================================ import React, { useState, useEffect } from "react"; import { CugaHeader } from "./CugaHeader"; import MemoryConfig from "./MemoryConfig"; import KnowledgeConfig from "./KnowledgeConfig"; import ToolsConfig from "./ToolsConfig"; import SubAgentsConfig from "./SubAgentsConfig"; import ModelConfig from "./ModelConfig"; import PoliciesConfig from "./PoliciesConfig"; import AgentHumanConfig from "./AgentHumanConfig"; import * as api from "../../frontend/src/api"; interface ConfigHeaderProps { onToggleLeftSidebar: () => void; onToggleWorkspace: () => void; onToggleKnowledge: () => void; leftSidebarCollapsed: boolean; workspaceOpen: boolean; knowledgeOpen: boolean; knowledgeDocCount: number; knowledgeEnabled?: boolean | null; } interface AgentContext { agent_id: string; config_version: number | null; } export function ConfigHeader({ onToggleLeftSidebar, onToggleWorkspace, onToggleKnowledge, knowledgeOpen, knowledgeDocCount, knowledgeEnabled, }: ConfigHeaderProps) { const [activeModal, setActiveModal] = useState(null); const [agentContext, setAgentContext] = useState(null); useEffect(() => { api.getAgentContext() .then((res) => (res.ok ? res.json() : null)) .then((data) => { if (data) { const agentId = data.agent_id ?? "cuga-default"; setAgentContext({ agent_id: agentId, config_version: data.config_version ?? null, }); // Set agent ID for knowledge API calls api.setKnowledgeAgentId(agentId); } }) .catch(() => {}); }, []); return ( <> 0 ? `Knowledge (${knowledgeDocCount})` : "Knowledge", onClick: onToggleKnowledge }, { label: "Sub Agents", onClick: () => setActiveModal("subagents") }, { label: "Tools", onClick: () => setActiveModal("tools") }, { label: "Policies", onClick: () => setActiveModal("policies") }, { label: "Manage", href: "/manage" }, ]} /> {activeModal === "knowledge" && ( setActiveModal(null)} /> )} {activeModal === "memory" && ( setActiveModal(null)} /> )} {activeModal === "subagents" && ( setActiveModal(null)} /> )} {activeModal === "tools" && ( setActiveModal(null)} /> )} {activeModal === "model" && ( setActiveModal(null)} /> )} {activeModal === "policies" && ( setActiveModal(null)} /> )} {activeModal === "agenthuman" && ( setActiveModal(null)} /> )} ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/ConfigModal.css ================================================ .config-modal-overlay { position: fixed; top: 0; left: 0; right: 0; bottom: 0; background: rgba(0, 0, 0, 0.6); backdrop-filter: blur(4px); display: flex; justify-content: center; align-items: center; z-index: 10000; animation: fadeIn 0.2s ease; } @keyframes fadeIn { from { opacity: 0; } to { opacity: 1; } } .config-modal { background: white; border-radius: 12px; box-shadow: 0 20px 60px rgba(0, 0, 0, 0.3); width: 90%; max-width: 900px; max-height: 85vh; display: flex; flex-direction: column; animation: slideUp 0.3s ease; } @keyframes slideUp { from { transform: translateY(20px); opacity: 0; } to { transform: translateY(0); opacity: 1; } } @keyframes spin { from { transform: rotate(0deg); } to { transform: rotate(360deg); } } .config-modal-header { display: flex; justify-content: space-between; align-items: center; padding: 20px 24px; border-bottom: 1px solid #e5e7eb; } .config-modal-header h2 { margin: 0; font-size: 20px; font-weight: 600; color: #1f2937; } .config-modal-close { background: none; border: none; color: #6b7280; cursor: pointer; padding: 4px; display: flex; align-items: center; border-radius: 6px; transition: all 0.2s ease; } .config-modal-close:hover { background: #f3f4f6; color: #1f2937; } .config-modal-actions-row { display: flex; gap: 8px; margin-bottom: 12px; } .config-modal-tabs { display: flex; gap: 4px; padding: 12px 24px 0; border-bottom: 1px solid #e5e7eb; } .config-tab { padding: 8px 16px; background: none; border: none; border-bottom: 2px solid transparent; color: #6b7280; font-size: 14px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; } .config-tab:hover { color: #1f2937; } .config-tab.active { color: #667eea; border-bottom-color: #667eea; } .config-modal-toolbar { display: flex; gap: 8px; padding: 12px 24px; border-bottom: 1px solid #e5e7eb; background: #f9fafb; } .toolbar-btn { display: flex; align-items: center; gap: 6px; padding: 6px 12px; background: white; border: 1px solid #d1d5db; border-radius: 6px; color: #374151; font-size: 13px; cursor: pointer; transition: all 0.2s ease; } .toolbar-btn:hover { background: #f3f4f6; border-color: #9ca3af; } .config-modal-content { flex: 1; overflow-y: auto; padding: 24px; } .section-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 16px; } .section-header h3 { margin: 0; font-size: 16px; font-weight: 600; color: #1f2937; } .add-btn { display: flex; align-items: center; gap: 6px; padding: 6px 12px; background: #667eea; border: none; border-radius: 6px; color: white; font-size: 13px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; } .add-btn:hover { background: #5568d3; transform: translateY(-1px); box-shadow: 0 2px 8px rgba(102, 126, 234, 0.4); } .config-card { background: #f9fafb; border: 1px solid #e5e7eb; border-radius: 8px; padding: 20px; margin-bottom: 16px; } .config-card h3 { margin: 0 0 16px 0; font-size: 16px; font-weight: 600; color: #1f2937; } .config-card h4 { margin: 0; font-size: 15px; font-weight: 600; color: #374151; } .config-card-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 16px; } .config-form { display: flex; flex-direction: column; gap: 16px; } .form-row { display: grid; grid-template-columns: 1fr 1fr; gap: 16px; } .form-group { display: flex; flex-direction: column; gap: 6px; } .form-group label { font-size: 13px; font-weight: 500; color: #374151; } .form-group small { font-size: 12px; color: #6b7280; margin-top: -2px; } .form-group input[type="text"], .form-group input[type="number"], .form-group input[type="password"], .form-group select, .form-group textarea { padding: 8px 12px; border: 1px solid #d1d5db; border-radius: 6px; font-size: 14px; color: #1f2937; background: white; transition: all 0.2s ease; } .form-group input:focus, .form-group select:focus, .form-group textarea:focus { outline: none; border-color: #667eea; box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1); } .form-group input[type="range"] { width: 100%; } .form-group-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px; } .add-small-btn { display: flex; align-items: center; gap: 4px; padding: 3px 8px; background: white; border: 1px solid #d1d5db; border-radius: 4px; color: #374151; font-size: 11px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; } .add-small-btn:hover { background: #f3f4f6; border-color: #9ca3af; } .args-list, .env-list { display: flex; flex-direction: column; gap: 8px; } .arg-item, .env-item { display: flex; gap: 8px; align-items: center; } .arg-item input { flex: 1; padding: 6px 10px; border: 1px solid #d1d5db; border-radius: 4px; font-size: 13px; } .env-item { background: white; padding: 8px; border-radius: 6px; border: 1px solid #e5e7eb; } .env-key { font-size: 12px; font-weight: 600; color: #4b5563; min-width: 120px; font-family: monospace; } .env-item input { flex: 1; padding: 4px 8px; border: 1px solid #d1d5db; border-radius: 4px; font-size: 13px; } .remove-btn, .delete-btn { background: none; border: none; color: #ef4444; cursor: pointer; padding: 4px; display: flex; align-items: center; border-radius: 4px; transition: all 0.2s ease; } .remove-btn:hover, .delete-btn:hover { background: #fee2e2; } .sources-list { display: flex; flex-direction: column; gap: 12px; } .source-item { background: white; border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; } .source-header { display: flex; gap: 8px; align-items: center; margin-bottom: 8px; } .source-name { flex: 1; font-weight: 500; } .source-details { padding-left: 28px; } .empty-state { text-align: center; padding: 40px 20px; color: #6b7280; } .empty-state p { margin: 0; font-size: 14px; } .config-modal-footer { display: flex; justify-content: flex-end; gap: 12px; padding: 16px 24px; border-top: 1px solid #e5e7eb; background: #f9fafb; } .cancel-btn { padding: 8px 16px; background: white; border: 1px solid #d1d5db; border-radius: 6px; color: #374151; font-size: 14px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; } .cancel-btn:hover { background: #f3f4f6; } .save-btn { display: flex; align-items: center; gap: 8px; padding: 8px 16px; background: #667eea; border: none; border-radius: 6px; color: white; font-size: 14px; font-weight: 500; cursor: pointer; transition: all 0.2s ease; } .save-btn:hover { background: #5568d3; transform: translateY(-1px); box-shadow: 0 2px 8px rgba(102, 126, 234, 0.4); } .knowledge-reindex-list { display: flex; flex-direction: column; gap: 8px; } .knowledge-reindex-list__header { display: grid; grid-template-columns: minmax(0, 1fr) 120px; gap: 12px; padding: 0 14px; font-size: 11px; font-weight: 600; letter-spacing: 0.04em; text-transform: uppercase; color: var(--cds-text-secondary, #6f6f6f); } .knowledge-reindex-list__header span:last-child { text-align: right; } .knowledge-reindex-item { display: grid; grid-template-columns: 16px minmax(0, 1fr) 120px; align-items: start; gap: 12px; padding: 12px 14px; border: 1px solid var(--cds-border-subtle, #c6c6c6); border-radius: 12px; background: var(--cds-layer-01, #ffffff); } .knowledge-reindex-item--pending { background: color-mix(in srgb, var(--cds-layer-01, #ffffff) 92%, var(--cds-layer-accent-01, #e8e8e8) 8%); } .knowledge-reindex-item--running { background: color-mix(in srgb, var(--cds-layer-01, #ffffff) 90%, var(--cds-interactive, #0f62fe) 10%); } .knowledge-reindex-item--completed { background: color-mix(in srgb, var(--cds-layer-01, #ffffff) 90%, var(--cds-support-success, #24a148) 10%); } .knowledge-reindex-item--failed { background: color-mix(in srgb, var(--cds-layer-01, #ffffff) 90%, var(--cds-support-error, #da1e28) 10%); } .knowledge-reindex-item__icon { display: flex; align-items: center; justify-content: center; min-height: 20px; padding-top: 2px; } .knowledge-reindex-item__spinner { display: block; width: 14px; height: 14px; border-radius: 999px; border: 2px solid var(--cds-interactive, #0f62fe); border-top-color: transparent; } .knowledge-reindex-item__spinner--pending { opacity: 0.35; } .knowledge-reindex-item__spinner--running { animation: spin 0.8s linear infinite; } .knowledge-reindex-item__body { min-width: 0; display: flex; flex-direction: column; gap: 4px; } .knowledge-reindex-item__filename { font-size: 13px; line-height: 1.4; color: var(--cds-text-primary, #161616); overflow-wrap: anywhere; word-break: break-word; } .knowledge-reindex-item__error { font-size: 12px; line-height: 1.4; color: var(--cds-support-error, #da1e28); } .knowledge-reindex-item__status { display: flex; align-items: flex-start; justify-content: flex-end; min-height: 20px; } @media (max-width: 640px) { .knowledge-reindex-list__header { display: none; } .knowledge-reindex-item { grid-template-columns: 16px minmax(0, 1fr); } .knowledge-reindex-item__status { grid-column: 2; justify-content: flex-start; } } .save-btn:disabled { opacity: 0.6; cursor: not-allowed; transform: none; } .save-btn.success { background: #10b981; } .save-btn.error { background: #ef4444; } .checkbox-label { display: flex; align-items: center; gap: 8px; cursor: pointer; user-select: none; } .checkbox-label input[type="checkbox"] { width: 18px; height: 18px; cursor: pointer; } .checkbox-label span { font-size: 14px; font-weight: 500; color: #1f2937; } /* Agent Config Card Styles */ .agent-config-card { background: white; border: 1px solid #e5e7eb; border-radius: 8px; margin-bottom: 12px; overflow: hidden; transition: all 0.2s; } .agent-config-card:hover { box-shadow: 0 2px 8px rgba(0, 0, 0, 0.08); } .agent-config-header { background: #f9fafb; padding: 12px; } .agent-config-top { display: flex; align-items: center; gap: 8px; } .agent-config-name { flex: 1; font-weight: 600; } .expand-btn { background: none; border: none; color: #6b7280; cursor: pointer; padding: 4px; display: flex; align-items: center; border-radius: 4px; transition: all 0.2s; } .expand-btn:hover { background: #e5e7eb; color: #1f2937; } .agent-summary { display: flex; gap: 12px; margin-top: 8px; padding-left: 28px; } .agent-summary-item { font-size: 11px; color: #64748b; background: white; padding: 3px 8px; border-radius: 4px; border: 1px solid #e5e7eb; } .agent-config-details { padding: 16px; border-top: 1px solid #e5e7eb; background: white; } .tools-count-small { font-size: 11px; color: #64748b; background: white; padding: 2px 6px; border-radius: 4px; border: 1px solid #e5e7eb; } .tools-grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(140px, 1fr)); gap: 8px; padding: 12px; background: #f9fafb; border-radius: 6px; border: 1px solid #e5e7eb; } .tool-checkbox-label { display: flex; align-items: center; gap: 6px; padding: 6px 8px; background: white; border-radius: 4px; cursor: pointer; transition: all 0.2s; border: 1px solid #e5e7eb; } .tool-checkbox-label:hover { background: #f1f5f9; border-color: #cbd5e1; } .tool-checkbox-label input[type="checkbox"] { cursor: pointer; } .tool-checkbox-label span { font-size: 12px; color: #374151; user-select: none; } .policies-list { display: flex; flex-direction: column; gap: 8px; } .policies-empty { padding: 24px; text-align: center; color: #94a3b8; font-size: 12px; background: #f9fafb; border-radius: 6px; border: 1px dashed #e5e7eb; } .policy-item { display: flex; gap: 8px; align-items: flex-start; background: #f9fafb; padding: 10px; border-radius: 6px; border: 1px solid #e5e7eb; transition: all 0.2s; } .policy-item:hover { background: #f1f5f9; border-color: #cbd5e1; } .policy-item textarea { flex: 1; padding: 8px; border: 1px solid #d1d5db; border-radius: 4px; font-size: 13px; color: #1f2937; background: white; resize: vertical; min-height: 60px; font-family: inherit; line-height: 1.5; } .policy-item textarea:focus { outline: none; border-color: #667eea; box-shadow: 0 0 0 3px rgba(102, 126, 234, 0.1); } .policy-item .remove-btn { flex-shrink: 0; margin-top: 8px; } .add-small-btn { display: flex; align-items: center; gap: 4px; padding: 4px 10px; background: #667eea; color: white; border: none; border-radius: 4px; font-size: 11px; font-weight: 500; cursor: pointer; transition: all 0.2s; } .add-small-btn:hover { background: #5568d3; box-shadow: 0 2px 4px rgba(102, 126, 234, 0.3); } .add-small-btn:active { transform: translateY(1px); } .form-group-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px; } .apps-list { display: flex; flex-direction: column; gap: 12px; margin-top: 12px; } .app-config-section { background: #f9fafb; border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; transition: all 0.2s; } .app-config-section:hover { border-color: #cbd5e1; box-shadow: 0 1px 3px rgba(0, 0, 0, 0.05); } .app-config-header { display: flex; justify-content: space-between; align-items: flex-start; margin-bottom: 8px; } .app-config-header strong { font-size: 14px; color: #1f2937; display: block; } .app-tools-section { margin-top: 8px; padding-top: 8px; border-top: 1px solid #e5e7eb; } .add-agent-modal { max-width: 600px; } .source-info-card { background: #f9fafb; border: 1px solid #e5e7eb; border-radius: 6px; padding: 12px; margin-top: 8px; } .source-info-row { display: flex; gap: 8px; margin-bottom: 8px; align-items: flex-start; } .source-info-row:last-child { margin-bottom: 0; } .source-info-row strong { min-width: 140px; font-size: 12px; color: #4b5563; font-weight: 600; } .source-info-row span { font-size: 12px; color: #1f2937; flex: 1; } .env-vars-display { display: flex; flex-direction: column; gap: 4px; flex: 1; } .env-var-display-item { display: flex; gap: 6px; align-items: center; font-size: 11px; font-family: monospace; background: white; padding: 4px 8px; border-radius: 4px; border: 1px solid #e5e7eb; } .env-var-display-item code { color: #1f2937; background: #f3f4f6; padding: 2px 4px; border-radius: 3px; } .env-var-display-item span { color: #6b7280; } .autonomy-slider-container { display: flex; flex-direction: column; gap: 16px; padding: 20px; background: linear-gradient(135deg, #f8fafc 0%, #f1f5f9 100%); border-radius: 8px; border: 1px solid #e5e7eb; } .autonomy-icons { display: flex; justify-content: space-between; align-items: center; margin-bottom: -8px; } .autonomy-label-display { display: flex; flex-direction: column; align-items: center; gap: 4px; margin-bottom: 8px; } .autonomy-value { font-size: 32px; font-weight: 700; line-height: 1; } .autonomy-description { font-size: 14px; font-weight: 600; color: #64748b; } .autonomy-slider { width: 100%; height: 8px; border-radius: 4px; outline: none; appearance: none; cursor: pointer; transition: all 0.3s ease; } .autonomy-slider::-webkit-slider-thumb { appearance: none; width: 24px; height: 24px; border-radius: 50%; background: white; border: 3px solid currentColor; cursor: pointer; box-shadow: 0 2px 8px rgba(0, 0, 0, 0.2); transition: all 0.2s ease; } .autonomy-slider::-webkit-slider-thumb:hover { transform: scale(1.15); box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3); } .autonomy-slider::-moz-range-thumb { width: 24px; height: 24px; border-radius: 50%; background: white; border: 3px solid currentColor; cursor: pointer; box-shadow: 0 2px 8px rgba(0, 0, 0, 0.2); transition: all 0.2s ease; } .autonomy-slider::-moz-range-thumb:hover { transform: scale(1.15); box-shadow: 0 4px 12px rgba(0, 0, 0, 0.3); } .autonomy-markers { display: flex; justify-content: space-between; font-size: 11px; color: #94a3b8; font-weight: 600; margin-top: -4px; } .confirmation-grid { display: grid; grid-template-columns: 1fr; gap: 16px; } .confirmation-grid .checkbox-label { padding: 12px; background: white; border: 1px solid #e5e7eb; border-radius: 6px; transition: all 0.2s; display: flex; align-items: flex-start; gap: 12px; } .confirmation-grid .checkbox-label:hover { border-color: #cbd5e1; background: #f8fafc; } .confirmation-grid .checkbox-label input { margin-top: 2px; flex-shrink: 0; } .confirmation-grid .checkbox-label div { display: flex; flex-direction: column; gap: 4px; } .confirmation-grid .checkbox-label span { font-size: 14px; font-weight: 600; color: #1f2937; } .confirmation-grid .checkbox-label small { font-size: 12px; color: #64748b; font-weight: normal; } .intervention-rules-list { display: flex; flex-direction: column; gap: 8px; margin-top: 12px; } .intervention-rule-item { display: flex; align-items: center; gap: 12px; padding: 12px; background: white; border: 1px solid #e5e7eb; border-radius: 6px; transition: all 0.2s; } .intervention-rule-item:hover { border-color: #cbd5e1; background: #f8fafc; } .intervention-rule-item input[type="checkbox"] { flex-shrink: 0; cursor: pointer; } .intervention-rule-item .rule-text { flex: 1; font-size: 13px; color: #1f2937; line-height: 1.5; } .intervention-rule-item .rule-text.disabled { color: #94a3b8; text-decoration: line-through; } .intervention-rule-item .remove-btn { flex-shrink: 0; } .adaptive-learning-info { padding: 12px 16px; background: linear-gradient(135deg, #dbeafe 0%, #e0e7ff 100%); border-left: 4px solid #3b82f6; border-radius: 6px; margin: 12px 0; } .adaptive-learning-info .info-text { margin: 0; font-size: 13px; color: #1e40af; line-height: 1.6; } .range-labels { display: flex; justify-content: space-between; margin-top: 4px; margin-bottom: 4px; } .range-labels small { font-size: 11px; color: #94a3b8; } .learning-examples { margin-top: 16px; padding: 16px; background: #f8fafc; border-radius: 6px; border: 1px solid #e5e7eb; } .learning-examples h4 { margin: 0 0 12px 0; font-size: 13px; font-weight: 600; color: #1f2937; } .learning-bullets { margin: 0; padding-left: 20px; list-style: none; } .learning-bullets li { position: relative; font-size: 12px; line-height: 1.6; color: #4b5563; margin-bottom: 8px; padding-left: 8px; } .learning-bullets li:before { content: "→"; position: absolute; left: -12px; color: #667eea; font-weight: bold; } .learning-bullets li:last-child { margin-bottom: 0; } .learning-bullets li strong { color: #1f2937; font-weight: 600; } /* Apps & Tools Section */ .apps-section { padding: 20px 0; } .apps-grid { display: grid; grid-template-columns: repeat(auto-fill, minmax(350px, 1fr)); gap: 20px; } .app-card { border: 1px solid #e5e7eb; border-radius: 8px; padding: 16px; background: #fafbfc; transition: border-color 0.2s; } .app-card:hover { border-color: #cbd5e1; } .app-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 8px; } .app-header h4 { margin: 0; color: #1e293b; font-size: 16px; font-weight: 600; } .app-type { padding: 2px 8px; border-radius: 12px; font-size: 11px; font-weight: 500; text-transform: uppercase; } .app-type.api { background: #dbeafe; color: #1d4ed8; } .app-description { color: #64748b; font-size: 14px; margin: 8px 0; line-height: 1.4; } .app-url { color: #6366f1; font-size: 13px; margin: 4px 0; font-family: monospace; } .app-tools h5 { margin: 16px 0 8px 0; color: #374151; font-size: 14px; font-weight: 600; } .no-tools { color: #9ca3af; font-style: italic; font-size: 13px; } .tools-list { max-height: 200px; overflow-y: auto; } .tool-item { display: flex; justify-content: space-between; align-items: flex-start; padding: 8px 12px; margin: 4px 0; background: white; border: 1px solid #f1f5f9; border-radius: 6px; gap: 12px; } .tool-name { font-weight: 500; color: #1e293b; font-size: 13px; flex-shrink: 0; } .tool-description { color: #64748b; font-size: 12px; line-height: 1.4; flex: 1; } .loading-text { color: #64748b; font-style: italic; font-size: 14px; } /* Services Section */ .services-section { padding: 20px 0; } .services-list { display: flex; flex-direction: column; gap: 16px; } .service-badge { padding: 2px 8px; border-radius: 12px; font-size: 11px; font-weight: 500; text-transform: uppercase; background: #dcfce7; color: #166534; } .service-description { color: #374151; font-size: 14px; margin: 0; line-height: 1.5; background: white; padding: 12px; border-radius: 6px; border: 1px solid #e5e7eb; } .service-url { color: #6366f1; font-size: 13px; margin: 0; font-family: monospace; background: white; padding: 8px 12px; border-radius: 6px; border: 1px solid #e5e7eb; word-break: break-all; } /* Knowledge Panel – progress bar (used inside Carbon Tile) */ .knowledge-progress-bar { width: 100%; height: 6px; background: var(--cds-border-subtle, #e5e7eb); border-radius: 3px; overflow: hidden; margin: 6px 0; } .knowledge-progress-fill { height: 100%; background: linear-gradient(90deg, #667eea, #764ba2); border-radius: 3px; transition: width 0.3s ease; } /* Mobile styles */ @media (max-width: 768px) { .config-modal { width: 95%; max-height: 90vh; } .config-modal-content { padding: 16px; } .config-form { gap: 12px; } .form-group { margin-bottom: 12px; } .apps-grid { grid-template-columns: 1fr; gap: 16px; } .app-card { padding: 12px; } } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/CugaHeader.tsx ================================================ export { CugaHeader } from "../../frontend/src/CugaHeader"; export type { CugaHeaderProps, CugaHeaderNavItem, CugaHeaderAction } from "../../frontend/src/CugaHeader"; ================================================ FILE: src/frontend_workspaces/agentic_chat/src/CustomChat.css ================================================ /* Main Navigation Header - Welcome Mode Only */ .main-nav-header { position: sticky; top: 0; z-index: 100; background: rgba(255, 255, 255, 0.15); backdrop-filter: blur(20px); border-bottom: 1px solid rgba(102, 126, 234, 0.2); margin-bottom: 10px; } .nav-container { display: flex; align-items: center; justify-content: space-between; padding: 12px 24px; max-width: 1400px; margin: 0 auto; } .nav-brand { display: flex; align-items: center; gap: 12px; font-weight: 700; font-size: 18px; color: #1e293b; } .nav-logo { width: 32px; height: 32px; border-radius: 8px; box-shadow: 0 2px 8px rgba(102, 126, 234, 0.2); } .nav-brand-text { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text; } .nav-links { display: flex; align-items: center; gap: 24px; } .nav-link { color: #64748b; text-decoration: none; font-weight: 500; font-size: 14px; transition: all 0.3s ease; padding: 8px 12px; border-radius: 6px; position: relative; } .nav-link:hover { color: #667eea; background: rgba(102, 126, 234, 0.05); transform: translateY(-1px); } .nav-link:active { transform: translateY(0); } .nav-link-feedback { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white !important; font-weight: 600; } .nav-link-feedback:hover { background: linear-gradient(135deg, #5568d3 0%, #6b428f 100%); transform: translateY(-2px); box-shadow: 0 4px 12px rgba(102, 126, 234, 0.4); } @media (max-width: 768px) { .nav-container { padding: 12px 16px; } .nav-links { gap: 16px; } .nav-link { font-size: 13px; padding: 6px 8px; } .nav-brand-text { display: none; } } .custom-chat-container { display: flex; flex-direction: column; height: 100%; width: 100%; max-width: 100%; background: transparent; position: relative; box-sizing: border-box; overflow: hidden; } /* Ensure welcome mode has consistent background and proper scroll */ .custom-chat-container:has(.welcome-screen) { background: linear-gradient(135deg, #ffffff 0%, #e0f2fe 20%, #f3e8ff 40%, #e9d5ff 60%, #dbeafe 80%, #f0f9ff 100%); background-size: 400% 400%; animation: gradientShift 12s ease infinite; overflow-y: auto; display: flex; flex-direction: column; position: relative; } .custom-chat-container:has(.welcome-screen)::before { content: ''; position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: radial-gradient(circle at 20% 50%, rgba(224, 242, 254, 0.5) 0%, transparent 50%), radial-gradient(circle at 80% 80%, rgba(243, 232, 255, 0.6) 0%, transparent 50%), radial-gradient(circle at 40% 20%, rgba(233, 213, 255, 0.5) 0%, transparent 50%); pointer-events: none; z-index: 0; } @keyframes gradientShift { 0% { background-position: 0% 50%; } 50% { background-position: 100% 50%; } 100% { background-position: 0% 50%; } } /* Welcome Screen Styles */ .welcome-screen { flex: 0 0 auto; display: flex; flex-direction: column; gap: 40px; padding: 24px 32px 16px; background: transparent; animation: welcomeFadeIn 0.6s ease; width: 100%; max-width: 1400px; margin: 0 auto; position: relative; z-index: 1; } .welcome-top-section { display: grid; grid-template-columns: 1fr 1fr; gap: 40px; align-items: stretch; min-height: 600px; } .welcome-left-column { display: flex; flex-direction: column; gap: 24px; height: 100%; } .welcome-right-column { display: flex; flex-direction: column; justify-content: flex-start; position: sticky; top: 0; align-self: flex-start; height: 100%; } .get-started-container { display: flex; flex-direction: column; gap: 0px; background: rgba(255, 255, 255, 0.95); backdrop-filter: blur(20px); border-radius: 24px; padding: 32px; box-shadow: 0 20px 60px rgba(0, 0, 0, 0.1); position: sticky; top: 24px; flex: 1; } @keyframes welcomeFadeIn { from { opacity: 0; } to { opacity: 1; } } .welcome-content { width: 100%; text-align: left; flex: 1; background: rgba(255, 255, 255, 0.95); backdrop-filter: blur(20px); border-radius: 24px; padding: 32px; box-shadow: 0 20px 60px rgba(0, 0, 0, 0.1); display: flex; flex-direction: column; gap: 24px; position: sticky; top: 24px; } .welcome-header { display: flex; flex-direction: column; align-items: flex-start; justify-content: flex-start; margin-bottom: 0; animation: slideDown 0.6s ease 0.2s both; gap: 12px; } .welcome-logo { animation: floatAnimation 2.5s ease-in-out infinite, pulseGlow 3s ease-in-out infinite; } /* Logo floating to the left of input in welcome mode */ .welcome-logo.input-logo { flex-shrink: 0; animation: floatAnimation 2.5s ease-in-out infinite, pulseGlow 3s ease-in-out infinite; z-index: 10; } .welcome-logo.input-logo .welcome-logo-image { width: 52px; height: 52px; border-width: 3px; box-shadow: 0 6px 24px rgba(102, 126, 234, 0.4); background: white; } @keyframes floatAnimation { 0%, 100% { transform: translateY(0px) rotate(0deg) scale(1); } 25% { transform: translateY(-15px) rotate(-3deg) scale(1.05); } 50% { transform: translateY(-20px) rotate(0deg) scale(1.08); } 75% { transform: translateY(-15px) rotate(3deg) scale(1.05); } } @keyframes pulseGlow { 0%, 100% { filter: drop-shadow(0 8px 32px rgba(102, 126, 234, 0.3)); } 50% { filter: drop-shadow(0 12px 48px rgba(102, 126, 234, 0.6)); } } .welcome-logo-image { width: 72px; height: 72px; border-radius: 50%; box-shadow: 0 8px 32px rgba(102, 126, 234, 0.3); border: 4px solid white; background: white; object-fit: cover; transition: all 0.3s ease; } .welcome-logo-image:hover { transform: scale(1.1) rotate(360deg); box-shadow: 0 12px 48px rgba(102, 126, 234, 0.6); transition: transform 0.8s ease, box-shadow 0.3s ease; } .welcome-title { font-size: 42px; font-weight: 800; margin: 0; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); -webkit-background-clip: text; -webkit-text-fill-color: transparent; background-clip: text; letter-spacing: -1px; } @keyframes slideDown { from { opacity: 0; transform: translateY(-20px); } to { opacity: 1; transform: translateY(0); } } .mission-text { font-size: 16px; color: #64748b; line-height: 1.6; margin: 0; text-align: left; } .github-section-right { margin-bottom: 20px; display: flex; justify-content: center; } .github-button-sidebar { display: inline-flex; align-items: center; justify-content: center; gap: 8px; padding: 14px 28px; background: linear-gradient(135deg, #fef3c7 0%, #fde68a 50%, #fcd34d 100%); color: #92400e; text-decoration: none; border-radius: 28px; font-size: 15px; font-weight: 600; letter-spacing: 0.2px; text-transform: none; transition: all 0.3s ease; box-shadow: 0 4px 16px rgba(252, 211, 77, 0.3); border: 2px solid rgba(255, 255, 255, 0.8); min-width: 200px; position: relative; overflow: hidden; } .github-button-sidebar::before { content: ''; position: absolute; top: 0; left: -100%; width: 100%; height: 100%; background: linear-gradient(90deg, transparent, rgba(255, 255, 255, 0.3), transparent); transition: left 0.6s ease; } .github-button-sidebar:hover::before { left: 100%; } .github-button-sidebar:hover { transform: translateY(-3px) scale(1.02); box-shadow: 0 8px 24px rgba(252, 211, 77, 0.4); background: linear-gradient(135deg, #fde68a 0%, #fcd34d 50%, #f59e0b 100%); color: #78350f; } .github-button-sidebar:active { transform: translateY(-1px) scale(1.01); } .demo-apps-section { margin-top: 0; width: 100%; animation: slideDown 0.6s ease 0.4s both; } .section-header { margin-bottom: 20px; } .section-title { font-size: 24px; font-weight: 700; color: #1e293b; margin: 0 0 6px 0; text-align: left; } .section-subtitle { font-size: 14px; color: #64748b; margin: 0; text-align: left; } .demo-apps-grid { display: flex; flex-direction: column; gap: 12px; margin-top: 0; } @media (max-width: 1024px) { .welcome-top-section { display: flex; flex-direction: column; gap: 24px; } .welcome-left-column { order: 2; /* Move left column below right column on mobile */ } .welcome-right-column { order: 1; /* Move right column above left column on mobile */ justify-content: flex-start; } .get-started-container { position: static; } .welcome-content { position: static; } .welcome-features-section { margin-top: 24px; } .custom-chat-container:has(.welcome-screen) .custom-chat-input-area { position: static; } } @media (max-width: 768px) { .demo-apps-grid { gap: 12px; } } .demo-app-card { background: white; border: 2px solid #e2e8f0; border-radius: 20px; padding: 16px 20px; transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1); text-align: left; position: relative; overflow: hidden; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.06); display: flex; align-items: center; gap: 16px; } .demo-app-card::before { content: ''; position: absolute; top: 0; left: 0; right: 0; height: 4px; background: linear-gradient(90deg, transparent, currentColor, transparent); opacity: 0; transition: opacity 0.3s ease; } .demo-app-card:hover { transform: translateY(-6px); box-shadow: 0 12px 32px rgba(0, 0, 0, 0.15); border-color: currentColor; } .demo-app-card:hover::before { opacity: 1; } .crm-card { color: #3b82f6; } .filesystem-card { color: #10b981; } .email-card { color: #f59e0b; } .demo-app-icon { width: 56px; height: 56px; margin: 0; flex-shrink: 0; display: flex; align-items: center; justify-content: center; border-radius: 16px; transition: all 0.3s ease; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1); } .crm-card .demo-app-icon { background: #3b82f6; color: white; } .filesystem-card .demo-app-icon { background: #10b981; color: white; } .email-card .demo-app-icon { background: #f59e0b; color: white; } .demo-app-card:hover .demo-app-icon { transform: scale(1.1) rotate(5deg); box-shadow: 0 6px 20px rgba(0, 0, 0, 0.15); } .demo-app-card-content { flex: 1; display: flex; flex-direction: column; gap: 6px; } .demo-app-name { font-size: 16px; font-weight: 700; color: #1e293b; margin: 0; } .demo-app-tools { font-size: 12px; font-weight: 600; margin: 0; text-transform: uppercase; letter-spacing: 0.5px; } .crm-card .demo-app-tools { color: #3b82f6; } .filesystem-card .demo-app-tools { color: #10b981; } .email-card .demo-app-tools { color: #f59e0b; } .demo-app-examples { display: flex; flex-wrap: wrap; gap: 6px; justify-content: flex-start; margin-bottom: 8px; align-items: flex-start; } .demo-app-tag { display: inline-block; background: rgba(0, 0, 0, 0.05); color: #64748b; padding: 4px 10px; border-radius: 12px; font-size: 11px; font-weight: 500; border: 1px solid rgba(0, 0, 0, 0.08); transition: all 0.2s ease; } .crm-card:hover .demo-app-tag { background: #3b82f6; color: white; border-color: #3b82f6; transform: scale(1.05); } .filesystem-card:hover .demo-app-tag { background: #10b981; color: white; border-color: #10b981; transform: scale(1.05); } .email-card:hover .demo-app-tag { background: #f59e0b; color: white; border-color: #f59e0b; transform: scale(1.05); } .demo-app-description { font-size: 12px; color: #64748b; line-height: 1.5; margin: 0; } /* Workspace Files Preview */ .filesystem-card-expanded { flex-direction: row; align-items: flex-start; padding: 20px; flex-wrap: wrap; } .filesystem-card-expanded .demo-app-icon { flex-shrink: 0; margin-bottom: 0; } .filesystem-card-expanded .demo-app-card-content { flex: 1; min-width: 0; } .workspace-files-preview { display: flex; flex-direction: column; gap: 10px; margin-top: 16px; padding-top: 16px; border-top: 1px solid rgba(16, 185, 129, 0.15); width: 100%; flex-basis: 100%; } .workspace-file-item { background: rgba(16, 185, 129, 0.05); border: 1px solid rgba(16, 185, 129, 0.15); border-radius: 8px; padding: 10px 12px; transition: all 0.2s ease; } .workspace-file-item:hover { background: rgba(16, 185, 129, 0.08); border-color: rgba(16, 185, 129, 0.25); transform: translateX(2px); } .workspace-file-header { display: flex; align-items: center; gap: 8px; } .workspace-file-header.clickable { cursor: pointer; user-select: none; transition: all 0.2s ease; } .workspace-file-header.clickable:hover { opacity: 0.8; } .workspace-file-header svg { color: #10b981; flex-shrink: 0; } .workspace-file-chevron { color: #64748b !important; transition: transform 0.2s ease; } .workspace-file-chevron.expanded { transform: rotate(90deg); } .workspace-file-name { font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', 'Consolas', monospace; font-size: 12px; font-weight: 600; color: #047857; flex: 1; } .workspace-file-badge { font-size: 10px; font-weight: 500; color: #10b981; background: rgba(16, 185, 129, 0.1); padding: 2px 8px; border-radius: 10px; border: 1px solid rgba(16, 185, 129, 0.2); } .workspace-file-content { display: flex; flex-direction: column; gap: 4px; padding-left: 30px; margin-top: 8px; animation: expandDown 0.2s ease; } @keyframes expandDown { from { opacity: 0; max-height: 0; } to { opacity: 1; max-height: 200px; } } .workspace-file-content code { font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', 'Consolas', monospace; font-size: 11px; color: #475569; background: white; padding: 4px 8px; border-radius: 4px; border: 1px solid rgba(16, 185, 129, 0.1); overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } .workspace-file-more { font-size: 11px; color: #64748b; font-style: italic; padding-left: 8px; margin-top: 2px; } .workspace-files-more { font-size: 12px; color: #64748b; font-style: italic; padding: 8px 12px; text-align: center; background: rgba(16, 185, 129, 0.03); border-radius: 6px; border: 1px dashed rgba(16, 185, 129, 0.2); } .filesystem-card:hover .workspace-files-preview { border-top-color: rgba(16, 185, 129, 0.3); } .filesystem-card:hover .workspace-file-item { background: rgba(16, 185, 129, 0.08); border-color: rgba(16, 185, 129, 0.25); } .filesystem-card:hover .workspace-file-badge { background: #10b981; color: white; border-color: #10b981; } @media (max-width: 640px) { .demo-apps-title { font-size: 18px; } .demo-apps-subtitle { font-size: 13px; } .demo-app-card { padding: 20px 16px; } .demo-app-icon { width: 56px; height: 56px; } .demo-app-icon svg { width: 28px; height: 28px; } .demo-app-name { font-size: 16px; } .demo-app-examples { min-height: auto; } .demo-app-tag { font-size: 10px; padding: 3px 8px; } .demo-app-description { font-size: 12px; } } .welcome-features-section { width: 100%; margin-top: 0; margin-bottom: 32px; animation: slideUp 0.6s ease 0.6s both; background: rgba(255, 255, 255, 0.95); backdrop-filter: blur(20px); border-radius: 24px; padding: 28px 32px; box-shadow: 0 20px 60px rgba(0, 0, 0, 0.1); } .welcome-features { display: grid; grid-template-columns: repeat(3, 1fr); gap: 20px; width: 100%; margin: 0; } @keyframes slideUp { from { opacity: 0; transform: translateY(20px); } to { opacity: 1; transform: translateY(0); } } @media (max-width: 1024px) { .welcome-features { grid-template-columns: repeat(2, 1fr); gap: 16px; } } @media (max-width: 640px) { .welcome-features { grid-template-columns: 1fr; gap: 12px; } } .feature-card { background: white; border: 2px solid #e2e8f0; border-radius: 20px; padding: 20px 16px; transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1); animation: scaleIn 0.5s ease backwards; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.06); text-align: center; position: relative; overflow: hidden; } .feature-card:nth-child(1) { animation-delay: 0.4s; } .feature-card:nth-child(2) { animation-delay: 0.5s; } .feature-card:nth-child(3) { animation-delay: 0.6s; } .feature-card:nth-child(4) { animation-delay: 0.7s; } @keyframes scaleIn { from { opacity: 0; transform: scale(0.9); } to { opacity: 1; transform: scale(1); } } .feature-card::before { content: ''; position: absolute; top: 0; left: 0; right: 0; height: 4px; background: linear-gradient(90deg, transparent, currentColor, transparent); opacity: 0; transition: opacity 0.3s ease; } .feature-card:hover { transform: translateY(-6px); box-shadow: 0 12px 32px rgba(0, 0, 0, 0.15); } .feature-card:hover::before { opacity: 1; } .feature-icon { width: 64px; height: 64px; margin: 0 auto 16px; display: flex; align-items: center; justify-content: center; color: white; border-radius: 16px; transition: all 0.3s ease; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.1); } .multi-agent-icon { background: linear-gradient(135deg, #8b5cf6 0%, #6366f1 100%); } .code-exec-icon { background: linear-gradient(135deg, #06b6d4 0%, #3b82f6 100%); } .api-icon { background: linear-gradient(135deg, #10b981 0%, #059669 100%); } .memory-icon { background: linear-gradient(135deg, #f59e0b 0%, #ef4444 100%); } .model-flex-icon { background: linear-gradient(135deg, #3b82f6 0%, #8b5cf6 100%); } .web-api-icon { background: linear-gradient(135deg, #06b6d4 0%, #10b981 100%); } .reasoning-icon { background: linear-gradient(135deg, #f59e0b 0%, #8b5cf6 100%); } .feature-card:hover .feature-icon { transform: scale(1.1) rotate(5deg); box-shadow: 0 6px 20px rgba(0, 0, 0, 0.15); } .feature-card:nth-child(1):hover { border-color: #8b5cf6; } .feature-card:nth-child(1):hover::before { background: linear-gradient(90deg, transparent, #8b5cf6, transparent); } .feature-card:nth-child(2):hover { border-color: #06b6d4; } .feature-card:nth-child(2):hover::before { background: linear-gradient(90deg, transparent, #06b6d4, transparent); } .feature-card:nth-child(3):hover { border-color: #10b981; } .feature-card:nth-child(3):hover::before { background: linear-gradient(90deg, transparent, #10b981, transparent); } .feature-card:nth-child(4):hover { border-color: #f59e0b; } .feature-card:nth-child(4):hover::before { background: linear-gradient(90deg, transparent, #f59e0b, transparent); } .feature-title { font-size: 16px; font-weight: 700; color: #1e293b; margin: 0 0 8px 0; } .feature-description { font-size: 14px; color: #64748b; margin: 0; line-height: 1.6; } @media (max-width: 640px) { .welcome-screen { padding: 24px 16px 16px; gap: 20px; } .welcome-top-section { gap: 20px; } .welcome-content { padding: 24px 20px; border-radius: 20px; text-align: left; } .section-title, .section-subtitle { text-align: left; } .welcome-features-section { padding: 32px 24px; border-radius: 20px; margin-top: 20px; margin-bottom: 32px; } .get-started-section { padding: 20px 24px 16px; border-radius: 20px 20px 0 0; margin-bottom: 0; } .welcome-input-wrapper { padding: 16px 20px 20px; border-radius: 0 0 20px 20px; margin-top: -1px; } .welcome-header { gap: 12px; margin-bottom: 32px; } .welcome-logo-image { width: 56px; height: 56px; } .welcome-title { font-size: 28px; } .mission-text { font-size: 14px; } .section-title { font-size: 20px; } .section-subtitle { font-size: 12px; } .section-header { margin-bottom: 20px; } .custom-chat-container:has(.welcome-screen) .custom-chat-input-area { padding: 0 16px 40px; gap: 16px; } .example-utterances-list { grid-template-columns: 1fr; gap: 10px; } .example-utterance-chip { padding: 12px 16px; font-size: 13px; } } .custom-chat-header { display: flex; align-items: center; justify-content: space-between; padding: 12px 16px; border-bottom: 1px solid #e2e8f0; background: #ffffff; z-index: 10; max-width: 100%; box-sizing: border-box; } .chat-header-left { display: flex; align-items: center; gap: 8px; color: #475569; font-weight: 600; font-size: 14px; } .chat-header-title { font-size: 14px; font-weight: 600; } .chat-restart-btn { display: flex; align-items: center; gap: 6px; padding: 6px 12px; background: transparent; border: 1px solid #e2e8f0; border-radius: 6px; color: #64748b; font-size: 12px; cursor: pointer; transition: all 0.2s; } .chat-restart-btn:hover { background: #f8fafc; border-color: #cbd5e1; color: #475569; } .custom-chat-messages { flex: 1; overflow-y: auto; padding: 16px; display: flex; flex-direction: column; gap: 16px; max-width: 100%; } @media (max-width: 640px) { .custom-chat-messages { padding: 12px 8px; gap: 12px; } } .chat-empty-state { flex: 1; display: flex; flex-direction: column; align-items: center; justify-content: center; padding: 32px 16px; text-align: center; min-height: 120px; } .chat-empty-state-title { margin: 0 0 8px 0; font-size: 16px; font-weight: 600; color: #64748b; } .chat-empty-state-hint { margin: 0; font-size: 14px; color: #94a3b8; } .message { display: flex; gap: 12px; align-items: flex-start; animation: fadeIn 0.3s ease-in; } @keyframes fadeIn { from { opacity: 0; transform: translateY(10px); } to { opacity: 1; transform: translateY(0); } } .message-user { flex-direction: row-reverse; } .message-avatar { width: 32px; height: 32px; border-radius: 50%; display: flex; align-items: center; justify-content: center; flex-shrink: 0; background: #f1f5f9; color: #64748b; overflow: hidden; } .bot-avatar-image { width: 100%; height: 100%; object-fit: cover; } .message-user .message-avatar { background: #3b82f6; color: white; } .message-content { flex: 1; padding: 12px 16px; border-radius: 12px; /* background: #f8fafc; */ color: #1e293b; font-size: 14px; line-height: 1.6; max-width: min(70%, 800px); word-wrap: break-word; box-sizing: border-box; } @media (max-width: 640px) { .message-content { padding: 10px 12px; font-size: 13px; max-width: 85%; } } .message-user .message-content { flex: 0 1 auto; background: #e5e7eb; color: #1e293b; max-width: min(60%, 650px); width: fit-content; border: 1px solid #d1d5db; } @media (max-width: 640px) { .message-user .message-content { max-width: 80%; } } .message-content p { margin: 0; } .message-content h1, .message-content h2, .message-content h3 { margin: 0 0 8px 0; } .message-content code { background: rgba(0, 0, 0, 0.1); padding: 2px 6px; border-radius: 4px; font-family: 'Courier New', monospace; font-size: 0.9em; } .message-user .message-content code { background: rgba(0, 0, 0, 0.08); color: #1e293b; } .message-content pre { background: rgba(0, 0, 0, 0.05); padding: 12px; border-radius: 6px; overflow-x: auto; margin: 8px 0; } .message-user .message-content pre { background: rgba(0, 0, 0, 0.06); border: 1px solid #d1d5db; } .card-manager-wrapper { margin-top: 8px; width: 100%; max-width: 100%; box-sizing: border-box; } .message-card-content { background: transparent; padding: 0; max-width: min(85%, 1000px); } .custom-chat-input-area { padding: 12px 16px; border-top: 1px solid #e2e8f0; max-width: 100%; box-sizing: border-box; position: relative; } .custom-chat-container:has(.welcome-screen) .custom-chat-input-area { border-top: none; padding: 0; background: transparent; position: relative; width: 100%; z-index: 1; display: flex; flex-direction: column; align-items: stretch; flex-shrink: 0; gap: 0; height: fit-content; position: sticky; top: 24px; } /* Welcome Mode Input Wrapper */ .welcome-input-wrapper { display: flex; align-items: center; justify-content: flex-start; gap: 16px; width: 100%; position: relative; background: rgba(255, 255, 255, 0.95); backdrop-filter: blur(20px); border-radius: 0 0 24px 24px; padding: 20px 24px 24px; box-shadow: 0 20px 60px rgba(0, 0, 0, 0.1); margin-top: -1px; } /* Advanced Chat Mode Input Wrapper */ .chat-input-wrapper { display: flex; align-items: center; justify-content: center; gap: 16px; width: 100%; position: relative; } @media (max-width: 640px) { .custom-chat-container:has(.welcome-screen) .custom-chat-input-area { padding: 16px 16px 24px; } .welcome-input-wrapper { flex-direction: column; gap: 12px; } .custom-chat-container:has(.welcome-screen) .welcome-logo.input-logo { position: relative; left: auto; top: auto; transform: none; } } /* Enhanced placeholder for welcome screen */ .custom-chat-container:has(.welcome-screen) .chat-input:empty::before { content: "Ask me anything..."; color: #94a3b8; font-size: 15px; } @media (max-width: 640px) { .custom-chat-input-area { padding: 8px 12px; } } /* Welcome Mode Chat Input */ .chat-input-container-welcome { display: flex; align-items: center; gap: 8px; background: white; border: 3px solid #e2e8f0; border-radius: 20px; padding: 16px 20px; box-shadow: 0 8px 32px rgba(0, 0, 0, 0.1); max-width: 100%; width: 100%; min-width: 300px; position: relative; transition: all 0.3s ease; } /* Main input field styling in welcome mode */ .chat-input-container-welcome #main-input_field { min-width: 200px; } .chat-input-container-welcome:focus-within { border-color: #667eea; box-shadow: 0 12px 48px rgba(102, 126, 234, 0.3); } /* Advanced Chat Mode Input */ .chat-input-container-chat { display: flex; align-items: center; gap: 8px; background: white; border: 1px solid #e2e8f0; border-radius: 12px; padding: 8px 12px; transition: all 0.3s ease; min-width: 600px; } @media (max-width: 640px) { .chat-input-container-welcome { padding: 12px 16px; gap: 6px; } .chat-input-container-chat { padding: 6px 8px; gap: 6px; } } .textarea-wrapper { position: relative; flex: 1; display: flex; flex-direction: column; gap: 6px; min-width: 0; /* Allow flex shrinking but prevent complete collapse */ } .chat-input { flex: 1; border: none; background: transparent; outline: none; font-size: 14px; line-height: 1.5; color: #1e293b; font-family: inherit; padding: 8px 0; min-width: 200px; } .chat-input::placeholder { color: #94a3b8; } .chat-input:disabled { opacity: 0.6; cursor: not-allowed; } .chat-send-btn { display: flex; align-items: center; justify-content: center; width: 36px; height: 36px; border: none; background: #3b82f6; color: white; border-radius: 8px; cursor: pointer; transition: all 0.2s; flex-shrink: 0; } .chat-send-btn:hover:not(:disabled) { background: #2563eb; transform: scale(1.05); } .chat-send-btn:disabled { background: #cbd5e1; cursor: not-allowed; transform: none; } .chat-send-btn:active:not(:disabled) { transform: scale(0.95); } .simple-file-autocomplete { position: absolute; bottom: 100%; left: 0; right: 0; margin-bottom: 8px; background: white; border: 1px solid #e5e7eb; border-radius: 8px; box-shadow: 0 10px 40px rgba(0, 0, 0, 0.15); z-index: 1000; max-height: 400px; overflow: hidden; animation: slideUpFade 0.2s ease; } @keyframes slideUpFade { from { opacity: 0; transform: translateY(10px); } to { opacity: 1; transform: translateY(0); } } .simple-file-autocomplete-header { display: flex; justify-content: space-between; align-items: center; padding: 8px 12px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; font-size: 11px; font-weight: 600; border-radius: 8px 8px 0 0; text-transform: uppercase; letter-spacing: 0.5px; } .simple-file-autocomplete-header .file-count { background: rgba(255, 255, 255, 0.2); padding: 2px 6px; border-radius: 10px; font-size: 10px; } .simple-file-autocomplete-list { max-height: 350px; overflow-y: auto; padding: 4px; } .simple-file-autocomplete-item { display: flex; align-items: center; gap: 10px; padding: 8px 10px; border-radius: 6px; cursor: pointer; transition: all 0.15s ease; margin-bottom: 2px; } .simple-file-autocomplete-item:hover, .simple-file-autocomplete-item.selected { background: linear-gradient(135deg, rgba(102, 126, 234, 0.1) 0%, rgba(118, 75, 162, 0.1) 100%); } .simple-file-autocomplete-item.selected { border-left: 3px solid #667eea; padding-left: 7px; } .simple-file-autocomplete-item .file-icon { flex-shrink: 0; color: #667eea; } .simple-file-autocomplete-item .file-info { flex: 1; display: flex; flex-direction: column; gap: 2px; min-width: 0; } .simple-file-autocomplete-item .file-name { font-size: 13px; font-weight: 500; color: #1f2937; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } .simple-file-autocomplete-item .file-path { font-size: 11px; color: #6b7280; font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', 'Consolas', monospace; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } .simple-file-autocomplete-footer { padding: 6px 12px; background: #f9fafb; border-top: 1px solid #e5e7eb; border-radius: 0 0 8px 8px; } .simple-file-autocomplete-footer .hint { font-size: 10px; color: #9ca3af; font-style: italic; } .simple-file-autocomplete-list::-webkit-scrollbar { width: 6px; } .simple-file-autocomplete-list::-webkit-scrollbar-track { background: transparent; } .simple-file-autocomplete-list::-webkit-scrollbar-thumb { background: #cbd5e1; border-radius: 3px; } .simple-file-autocomplete-list::-webkit-scrollbar-thumb:hover { background: #94a3b8; } .custom-chat-input-area { position: relative; display: flex; align-items: center; gap: 16px; } /* StopButton positioning */ .floating-controls-container { display: flex; align-items: center; justify-content: center; } .get-started-section { width: 100%; animation: slideDown 0.6s ease 0.5s both; background: rgba(255, 255, 255, 0.95); backdrop-filter: blur(20px); border-radius: 24px 24px 0 0; padding: 24px; box-shadow: 0 20px 60px rgba(0, 0, 0, 0.1); margin-bottom: 0; border-bottom: 1px solid rgba(226, 232, 240, 0.5); } .example-utterances-widget { margin-top: 0; background: transparent; border: none; border-radius: 0; padding: 0; box-shadow: none; animation: slideUpFadeIn 0.3s ease; } .custom-chat-container:has(.welcome-screen) .example-utterances-widget { background: transparent; border: none; border-radius: 0; padding: 0; margin: 0; box-shadow: none; max-width: 100%; width: 100%; } @keyframes slideUpFadeIn { from { opacity: 0; transform: translateY(10px); } to { opacity: 1; transform: translateY(0); } } .example-utterances-list { display: flex; flex-direction: column; gap: 10px; width: 100%; } .example-utterance-chip { padding: 14px 20px; background: white; border: 2px solid #e2e8f0; border-radius: 12px; font-size: 14px; color: #475569; cursor: pointer; transition: all 0.3s cubic-bezier(0.4, 0, 0.2, 1); font-family: inherit; white-space: normal; text-align: left; box-shadow: 0 2px 8px rgba(0, 0, 0, 0.06); font-weight: 500; line-height: 1.5; } .example-utterance-chip:hover { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-color: #667eea; transform: translateY(-3px); box-shadow: 0 8px 20px rgba(102, 126, 234, 0.35); } .example-utterance-chip:active { transform: translateY(-1px); box-shadow: 0 4px 12px rgba(102, 126, 234, 0.3); } .example-utterance-text { font-size: 14px; font-weight: 500; line-height: 1.5; margin-bottom: 8px; color: inherit; } .example-utterance-reason { font-size: 12px; font-weight: 400; line-height: 1.4; opacity: 0.7; font-style: italic; color: inherit; } .example-utterance-chip:hover .example-utterance-text, .example-utterance-chip:hover .example-utterance-reason { color: white; } .file-badges-overlay { display: flex; flex-wrap: wrap; gap: 6px; padding: 0; min-height: 0; } .file-badge { display: inline-flex; align-items: center; gap: 4px; padding: 4px 8px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-radius: 6px; font-size: 12px; font-weight: 500; cursor: default; transition: all 0.2s; box-shadow: 0 2px 4px rgba(102, 126, 234, 0.3); position: relative; } .file-badge:hover { transform: translateY(-1px); box-shadow: 0 4px 8px rgba(102, 126, 234, 0.4); } .file-badge::after { content: attr(title); position: absolute; bottom: 100%; left: 50%; transform: translateX(-50%) translateY(-8px); padding: 6px 10px; background: #1e293b; color: white; font-size: 11px; border-radius: 6px; white-space: nowrap; opacity: 0; pointer-events: none; transition: opacity 0.2s, transform 0.2s; z-index: 1000; font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', 'Consolas', monospace; } .file-badge:hover::after { opacity: 1; transform: translateX(-50%) translateY(-4px); } .file-badge svg { flex-shrink: 0; } .file-badge-name { max-width: 150px; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } @media (max-width: 640px) { .file-badge-name { max-width: 80px; } .file-badge { padding: 3px 6px; font-size: 11px; gap: 3px; } .file-badge svg { width: 10px; height: 10px; } } .file-badge-remove { display: flex; align-items: center; justify-content: center; width: 16px; height: 16px; border: none; background: rgba(255, 255, 255, 0.2); color: white; border-radius: 50%; cursor: pointer; font-size: 14px; line-height: 1; padding: 0; transition: all 0.2s; flex-shrink: 0; } .file-badge-remove:hover { background: rgba(255, 255, 255, 0.3); transform: scale(1.1); } /* Inline file references in contentEditable */ .inline-file-reference { display: inline-flex; align-items: center; gap: 6px; padding: 6px 10px; background: linear-gradient(135deg, #6366f1 0%, #8b5cf6 50%, #a855f7 100%); color: #ffffff !important; border-radius: 18px; font-size: 13px; font-weight: 500; margin: 2px 3px; box-shadow: 0 2px 8px rgba(99, 102, 241, 0.4); border: 1px solid rgba(255, 255, 255, 0.25); transition: all 0.2s ease; cursor: default; user-select: none; position: relative; overflow: hidden; pointer-events: auto; } .inline-file-reference::before { content: ''; position: absolute; top: 0; left: -100%; width: 100%; height: 100%; background: linear-gradient(90deg, transparent, rgba(255, 255, 255, 0.2), transparent); transition: left 0.5s ease; } .inline-file-reference:hover::before { left: 100%; } .inline-file-reference:hover { transform: translateY(-1px); box-shadow: 0 4px 16px rgba(99, 102, 241, 0.5); border-color: rgba(255, 255, 255, 0.4); background: linear-gradient(135deg, #5855eb 0%, #7c3aed 50%, #9333ea 100%); } .inline-file-reference .file-icon { flex-shrink: 0; opacity: 0.95; filter: drop-shadow(0 1px 2px rgba(0, 0, 0, 0.1)); } .inline-file-reference .file-name { font-weight: 500; letter-spacing: 0.01em; text-shadow: 0 1px 2px rgba(0, 0, 0, 0.1); color: #ffffff !important; } .inline-file-reference .file-chip-remove { display: none; background: rgba(255, 255, 255, 0.2); color: #ffffff; border: none; border-radius: 50%; width: 16px; height: 16px; font-size: 14px; line-height: 1; cursor: pointer !important; margin-left: 6px; padding: 0; transition: all 0.15s ease; flex-shrink: 0; position: relative; z-index: 2; } .inline-file-reference:hover .file-chip-remove { display: flex; align-items: center; justify-content: center; } .inline-file-reference .file-chip-remove:hover { background: rgba(255, 255, 255, 0.3); transform: scale(1.1); cursor: pointer !important; } /* ContentEditable input styling */ .chat-input { flex: 1; border: none; background: transparent; outline: none; font-size: 14px; line-height: 1.5; color: #1e293b; font-family: inherit; padding: 8px 0; word-wrap: break-word; overflow-wrap: break-word; cursor: text; } .chat-input:empty::before { content: attr(data-placeholder); color: #94a3b8; pointer-events: none; } .chat-input:focus { outline: none; cursor: text !important; } /* ContentEditable specific styles */ .chat-input br { display: block; content: ""; margin: 0; } .chat-input * { display: inline; vertical-align: baseline; } .chat-input div { display: block; } .chat-input .inline-file-reference { display: inline-flex !important; vertical-align: baseline !important; margin: 0 2px; } .chat-input p { margin: 0; display: inline; } /* Ensure file chips display properly in chat messages */ .message-content .inline-file-reference { display: inline-flex; align-items: center; gap: 6px; padding: 4px 8px; background: linear-gradient(135deg, #6366f1 0%, #8b5cf6 50%, #a855f7 100%); color: #ffffff !important; border-radius: 16px; font-size: 12px; font-weight: 500; margin: 0 2px; box-shadow: 0 2px 6px rgba(99, 102, 241, 0.3); border: 1px solid rgba(255, 255, 255, 0.2); vertical-align: baseline; cursor: default; user-select: none; } .message-content .inline-file-reference .file-icon { flex-shrink: 0; opacity: 0.9; } .message-content .inline-file-reference .file-name { font-weight: 500; color: #ffffff !important; } .message-content .inline-file-reference .file-chip-remove { display: none; /* Hide remove button in message display */ } /* Compact collapsible example utterances for advanced mode */ .example-utterances-widget-compact { width: 100%; margin-bottom: 12px; animation: slideUpFadeIn 0.3s ease; } .examples-toggle-button { display: flex; align-items: center; gap: 8px; padding: 8px 16px; background: linear-gradient(135deg, #f8fafc 0%, #f1f5f9 100%); border: 1px solid #e2e8f0; border-radius: 8px; font-size: 13px; color: #64748b; cursor: pointer; transition: all 0.2s ease; font-family: inherit; width: 100%; font-weight: 500; box-shadow: 0 1px 3px rgba(0, 0, 0, 0.05); } .examples-toggle-button:hover { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-color: #667eea; box-shadow: 0 2px 8px rgba(102, 126, 234, 0.25); } .examples-toggle-button svg:first-child { flex-shrink: 0; } .examples-toggle-button svg:last-child { flex-shrink: 0; margin-left: auto; } .examples-toggle-button span { flex: 1; text-align: left; } .example-utterances-list-compact { display: flex; flex-direction: column; gap: 8px; margin-top: 8px; padding: 12px; background: #fafbfc; border: 1px solid #e2e8f0; border-radius: 8px; animation: expandDown 0.2s ease; } @keyframes expandDown { from { opacity: 0; max-height: 0; padding: 0 12px; } to { opacity: 1; max-height: 500px; padding: 12px; } } .example-utterance-chip-compact { padding: 10px 14px; background: white; border: 1px solid #e2e8f0; border-radius: 8px; font-size: 13px; color: #475569; cursor: pointer; transition: all 0.2s ease; font-family: inherit; white-space: normal; text-align: left; box-shadow: 0 1px 3px rgba(0, 0, 0, 0.05); font-weight: 500; line-height: 1.4; } .example-utterance-chip-compact:hover { background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border-color: #667eea; transform: translateX(4px); box-shadow: 0 4px 12px rgba(102, 126, 234, 0.25); } .example-utterance-chip-compact:active { transform: translateX(2px); box-shadow: 0 2px 6px rgba(102, 126, 234, 0.2); } /* ── Drag-and-drop overlay ── */ .custom-chat-container.dragging-files { box-shadow: inset 0 0 0 2px #0f62fe; border-radius: 8px; } .chat-drag-overlay { position: absolute; bottom: 80px; left: 50%; transform: translateX(-50%); display: flex; align-items: center; gap: 8px; padding: 10px 20px; background: #0f62fe; color: white; border-radius: 20px; font-size: 13px; font-weight: 500; box-shadow: 0 4px 16px rgba(15, 98, 254, 0.3); z-index: 100; pointer-events: none; animation: dragBadgeFadeIn 0.15s ease; } @keyframes dragBadgeFadeIn { from { opacity: 0; transform: translateX(-50%) translateY(8px); } to { opacity: 1; transform: translateX(-50%) translateY(0); } } /* ── Attachment bar (above chat input) ── */ .session-attachment-bar { display: flex; gap: 8px; padding: 8px 16px; overflow-x: auto; border-bottom: 1px solid #e5e7eb; background: #f9fafb; } .attachment-chip { display: flex; align-items: center; gap: 6px; padding: 4px 8px 4px 4px; border-radius: 16px; background: white; border: 1px solid #e5e7eb; font-size: 12px; white-space: nowrap; transition: opacity 0.3s; } .attachment-chip--uploading { opacity: 0.7; } .attachment-chip--error { border-color: #da1e28; } .attachment-chip-name { max-width: 120px; overflow: hidden; text-overflow: ellipsis; color: #374151; } .attachment-chip-remove { display: flex; align-items: center; justify-content: center; width: 16px; height: 16px; border: none; background: none; color: #9ca3af; cursor: pointer; padding: 0; border-radius: 50%; } .attachment-chip-remove:hover { background: #f3f4f6; color: #374151; } .attachment-status-circle { flex-shrink: 0; } .attachment-spinner { animation: attachment-spin 1s linear infinite; transform-origin: center; } @keyframes attachment-spin { from { transform: rotate(0deg); } to { transform: rotate(360deg); } } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/CustomChat.tsx ================================================ import React, { useState, useRef, useEffect, useCallback } from "react"; import { Send, RotateCcw, Bot, User, FileText, Database, Code, Terminal, Cpu, Globe, Settings, ChevronRight, Paperclip } from "lucide-react"; import CardManager from "./CardManager"; import { StopButton } from "./floating/stop_button"; import { fetchStreamingData } from "./StreamingWorkflow"; import { randomUUID } from "./uuid"; import { DebugPanel } from "./DebugPanel"; import { FollowupSuggestions } from "./FollowupSuggestions"; import { exampleUtterances } from "./exampleUtterances"; import { apiFetch } from "../../frontend/src/api"; import SessionAttachments, { type SessionAttachmentsHandle } from "./SessionAttachments"; import "./CustomChat.css"; interface Message { id: string; text: string; isUser: boolean; timestamp: number; isCardResponse?: boolean; chatInstance?: ChatInstance; } // Minimal ChatInstance interface compatible with existing code interface ChatInstance { messaging: { addMessage: (message: any) => Promise; addMessageChunk?: (chunk: any) => void; }; on?: (options: { type: string; handler: (event: any) => void }) => void; } interface CustomChatProps { onVariablesUpdate?: (variables: Record, history: Array) => void; onFileAutocompleteOpen?: () => void; onFileHover?: (filePath: string | null) => void; onMessageSent?: (message: string) => void; onChatStarted?: (started: boolean) => void; onThreadIdChange?: (threadId: string) => void; initialChatStarted?: boolean; /** When true, always show chat view (no welcome screen). Used on manage page. */ forceAdvancedMode?: boolean; /** When true, stream uses draft config agent (Manage page). */ useDraftAgent?: boolean; /** Incremented when session docs change (for cross-component sync). */ sessionDocsVersion?: number; /** Called when session docs are uploaded/deleted in this chat. */ onSessionDocsChanged?: () => void; /** When set externally (e.g. from sidebar), switches to this thread and loads its messages. */ externalThreadId?: string; /** Whether session-level knowledge uploads are enabled for this chat. */ knowledgeEnabled?: boolean | null; } export function CustomChat({ onVariablesUpdate, onFileAutocompleteOpen, onFileHover, onMessageSent, onChatStarted, onThreadIdChange, initialChatStarted = false, forceAdvancedMode = false, useDraftAgent = false, sessionDocsVersion = 0, onSessionDocsChanged, externalThreadId, knowledgeEnabled }: CustomChatProps) { const [messages, setMessages] = useState([]); const [inputValue, setInputValue] = useState(""); const [isProcessing, setIsProcessing] = useState(false); const messagesEndRef = useRef(null); const inputRef = useRef(null); const currentChatInstanceRef = useRef(null); const [showFileAutocomplete, setShowFileAutocomplete] = useState(false); const [autocompleteQuery, setAutocompleteQuery] = useState(""); const [allFiles, setAllFiles] = useState>([]); const [filteredFiles, setFilteredFiles] = useState>([]); const [selectedFileIndex, setSelectedFileIndex] = useState(0); const [selectedFiles, setSelectedFiles] = useState>([]); const [threadId, setThreadId] = useState(""); const threadIdRef = useRef(""); const [showExampleUtterances, setShowExampleUtterances] = useState(true); const [hasStartedChat, setHasStartedChat] = useState(initialChatStarted); const effectiveHasStartedChat = forceAdvancedMode || hasStartedChat; const [followupSuggestions, setFollowupSuggestions] = useState([]); const [lastUserQuery, setLastUserQuery] = useState(""); const sessionAttachmentsRef = useRef(null); const [isDraggingFiles, setIsDraggingFiles] = useState(false); const dragCounter = useRef(0); const [expandedFiles, setExpandedFiles] = useState>(new Set(['contacts.txt'])); useEffect(() => { if (onChatStarted) { onChatStarted(effectiveHasStartedChat); } }, [effectiveHasStartedChat, onChatStarted]); // Initialize threadId on mount useEffect(() => { const newThreadId = randomUUID(); setThreadId(newThreadId); threadIdRef.current = newThreadId; if (onThreadIdChange) { onThreadIdChange(newThreadId); } }, [onThreadIdChange]); // Switch to an existing thread when selected from sidebar useEffect(() => { if (!externalThreadId || externalThreadId === threadIdRef.current) return; setThreadId(externalThreadId); threadIdRef.current = externalThreadId; if (onThreadIdChange) onThreadIdChange(externalThreadId); // Load messages for this thread (async () => { try { const resp = await apiFetch(`/api/conversation-messages/${externalThreadId}?agent_id=cuga-default`); if (resp.ok) { const data = await resp.json(); const loaded: Message[] = (data.messages || []) .filter((m: any) => m.role === "user" || m.role === "assistant") .map((m: any, i: number) => ({ id: `loaded-${i}`, text: m.content || "", isUser: m.role === "user", timestamp: m.timestamp ? new Date(m.timestamp).getTime() : Date.now(), })); setMessages(loaded); setShowExampleUtterances(false); setFollowupSuggestions([]); } } catch (e) { console.error("Failed to load thread messages:", e); } })(); }, [externalThreadId, onThreadIdChange]); // Create a simple chat instance interface const createChatInstance = useCallback((): ChatInstance => { return { messaging: { addMessage: async () => { // Handle message addition if needed }, }, }; }, []); useEffect(() => { if (!currentChatInstanceRef.current) { currentChatInstanceRef.current = createChatInstance(); } }, [createChatInstance]); // Listen for variables updates from CardManager useEffect(() => { const handleVariablesUpdate = ((event: CustomEvent) => { console.log('[CustomChat] Received variablesUpdate event:', event.detail); const { variables, history } = event.detail; console.log('[CustomChat] Variables keys:', Object.keys(variables)); console.log('[CustomChat] History length:', history.length); if (onVariablesUpdate) { console.log('[CustomChat] Calling onVariablesUpdate callback'); onVariablesUpdate(variables, history); } else { console.warn('[CustomChat] onVariablesUpdate callback is not defined!'); } }) as EventListener; if (typeof window !== "undefined") { console.log('[CustomChat] Setting up variablesUpdate event listener'); window.addEventListener('variablesUpdate', handleVariablesUpdate); return () => { console.log('[CustomChat] Cleaning up variablesUpdate event listener'); window.removeEventListener('variablesUpdate', handleVariablesUpdate); }; } }, []); // Listen for final answer completion from CardManager useEffect(() => { const handleFinalAnswerComplete = (() => { console.log('[CustomChat] Received finalAnswerComplete event'); // Generate followup suggestions based on the last query if (lastUserQuery) { const suggestions = generateFollowupSuggestions(lastUserQuery); setFollowupSuggestions(suggestions); } }) as EventListener; if (typeof window !== "undefined") { console.log('[CustomChat] Setting up finalAnswerComplete event listener'); window.addEventListener('finalAnswerComplete', handleFinalAnswerComplete); return () => { console.log('[CustomChat] Cleaning up finalAnswerComplete event listener'); window.removeEventListener('finalAnswerComplete', handleFinalAnswerComplete); }; } }, [lastUserQuery]); // Function to generate contextual followup suggestions const generateFollowupSuggestions = (query: string): string[] => { const lowerQuery = query.toLowerCase(); // Exact match for the demo workflow if (lowerQuery.includes('from contacts.txt show me which users belong to the crm system')) { return [ "show me details of first one", "Show me details of Sarah" ]; } // Second level followups after showing details of a user/contact if (lowerQuery.includes('show me details of') || lowerQuery.includes('details of sarah') || lowerQuery.includes('details of first one')) { return [ "How many employees work at her company's account", "Which percentile is her account's revenue across all accounts?" ]; } // Default general suggestions (disabled) return []; }; // Scroll to bottom when messages change useEffect(() => { messagesEndRef.current?.scrollIntoView({ behavior: "smooth" }); }, [messages]); // Remove the auto-welcome message effect since we have a dedicated welcome screen // Load workspace files using shared service with enforced throttling useEffect(() => { const loadFiles = async () => { try { const { workspaceService } = await import('./workspaceService'); const data = await workspaceService.getWorkspaceTree(); const files = extractFiles(data.tree || []); setAllFiles(files); } catch (error) { console.error('Error loading files:', error); } }; loadFiles(); const interval = setInterval(loadFiles, 15000); return () => clearInterval(interval); }, []); // Filter files based on query useEffect(() => { if (!showFileAutocomplete) { setFilteredFiles([]); return; } if (autocompleteQuery === '') { setFilteredFiles(allFiles.slice(0, 10)); } else { const lowerQuery = autocompleteQuery.toLowerCase(); const filtered = allFiles.filter(file => { const nameMatch = file.name.toLowerCase().includes(lowerQuery); const pathMatch = file.path.toLowerCase().includes(lowerQuery); return nameMatch || pathMatch; }).slice(0, 10); setFilteredFiles(filtered); } setSelectedFileIndex(0); }, [showFileAutocomplete, autocompleteQuery, allFiles]); // Highlight file when selection changes via keyboard navigation useEffect(() => { if (showFileAutocomplete && filteredFiles.length > 0 && selectedFileIndex >= 0 && selectedFileIndex < filteredFiles.length) { onFileHover?.(filteredFiles[selectedFileIndex].path); } else if (!showFileAutocomplete) { onFileHover?.(null); } }, [selectedFileIndex, showFileAutocomplete, filteredFiles, onFileHover]); const extractFiles = (nodes: any[]): Array<{ name: string; path: string }> => { const files: Array<{ name: string; path: string }> = []; for (const node of nodes) { if (node.type === "file") { files.push({ name: node.name, path: node.path }); } else if (node.children) { files.push(...extractFiles(node.children)); } } return files; }; const handleSend = async () => { if (!inputRef.current) return; const text = inputRef.current.textContent?.trim() || ''; if (!text || isProcessing) return; // Convert file reference elements back to ./path format for backend processing let processedText = text; const fileElements = inputRef.current.querySelectorAll('.inline-file-reference'); fileElements.forEach((element) => { const filePath = element.getAttribute('data-file-path'); const fileName = element.getAttribute('data-file-name'); if (filePath && fileName) { // Replace the element's text content with the dot path processedText = processedText.replace(element.textContent || '', `./${filePath}`); } }); // Create display HTML for the message (keep the styled file references) const displayHTML = inputRef.current.innerHTML; // Add user message with styled HTML const userMessage: Message = { id: `msg-${Date.now()}`, text: displayHTML, // Store the HTML for proper rendering isUser: true, timestamp: Date.now(), }; setMessages((prev) => [...prev, userMessage]); // Mark that chat has started setHasStartedChat(true); // Save the query for followup suggestions setLastUserQuery(processedText); // Clear any existing followup suggestions setFollowupSuggestions([]); // Notify parent component that a message was sent if (onMessageSent) { onMessageSent(processedText); } // Clear the input inputRef.current.innerHTML = ''; setInputValue(""); setSelectedFiles([]); setShowExampleUtterances(false); setIsProcessing(true); // Create a new chat instance for this message const newChatInstance = createChatInstance(); currentChatInstanceRef.current = newChatInstance; // Add bot card response message const botMessage: Message = { id: `bot-${Date.now()}`, text: "", isUser: false, timestamp: Date.now(), isCardResponse: true, chatInstance: newChatInstance, }; setMessages((prev) => [...prev, botMessage]); try { // Ensure threadId is set (use ref to get latest value, fallback to state) const currentThreadId = threadIdRef.current || threadId; if (!currentThreadId) { // If still empty, generate one now const newThreadId = randomUUID(); setThreadId(newThreadId); threadIdRef.current = newThreadId; console.log('[CustomChat] Generated new threadId:', newThreadId); // Notify parent of new thread ID if (onThreadIdChange) { onThreadIdChange(newThreadId); } } const finalThreadId = threadIdRef.current || threadId; console.log('[CustomChat] Sending message with threadId:', finalThreadId); // Call the streaming workflow with processed text (bracket format converted to ./path) await fetchStreamingData(newChatInstance as any, processedText, undefined, finalThreadId, useDraftAgent); } catch (error) { console.error("Error sending message:", error); } finally { setIsProcessing(false); } }; const handleRestart = async () => { // Reset backend const newThreadId = randomUUID(); setThreadId(newThreadId); threadIdRef.current = newThreadId; // Notify parent of new thread ID if (onThreadIdChange) { onThreadIdChange(newThreadId); } try { await apiFetch('/reset', { method: 'POST', headers: { 'Content-Type': 'application/json', 'X-Thread-ID': newThreadId }, }); } catch (error) { console.error("Error calling reset endpoint:", error); } setMessages([]); if (!forceAdvancedMode) setHasStartedChat(false); setIsProcessing(false); setInputValue(""); setShowExampleUtterances(true); setFollowupSuggestions([]); setLastUserQuery(""); currentChatInstanceRef.current = createChatInstance(); }; const handleContentEditableInput = (e: React.FormEvent) => { const target = e.currentTarget; const text = target.textContent || ''; setInputValue(text); // Hide examples when user starts typing, show when empty if (text.trim().length > 0) { setShowExampleUtterances(false); } else { setShowExampleUtterances(true); } // Check for @ trigger const lastAtIndex = text.lastIndexOf('@'); if (lastAtIndex !== -1) { const charBeforeAt = lastAtIndex > 0 ? text[lastAtIndex - 1] : ' '; const isValidTrigger = lastAtIndex === 0 || /\s/.test(charBeforeAt); if (isValidTrigger) { const textAfterAt = text.substring(lastAtIndex + 1); const searchTerm = textAfterAt.split(/\s/)[0]; setAutocompleteQuery(searchTerm); setShowFileAutocomplete(true); onFileAutocompleteOpen?.(); } else { setShowFileAutocomplete(false); } } else { setShowFileAutocomplete(false); } // Extract file references from the HTML content const foundFiles: Array<{ name: string; path: string; id: string }> = []; const fileElements = target.querySelectorAll('.inline-file-reference'); fileElements.forEach((element) => { const filePath = element.getAttribute('data-file-path'); const fileName = element.getAttribute('data-file-name'); if (filePath && fileName) { const existingFile = selectedFiles.find(f => f.path === filePath); const id = existingFile?.id || `file-${Date.now()}-${Math.random().toString(36).substr(2, 9)}`; foundFiles.push({ name: fileName, path: filePath, id }); } }); setSelectedFiles(foundFiles); // Auto-resize target.style.height = 'auto'; target.style.height = `${Math.min(target.scrollHeight, 120)}px`; }; const handleContentEditableClick = (e: React.MouseEvent) => { const target = e.target as HTMLElement; // Check if clicked element is a remove button if (target.classList.contains('file-chip-remove')) { e.preventDefault(); e.stopPropagation(); // Find the parent file reference element const fileChip = target.closest('.inline-file-reference'); if (fileChip && inputRef.current) { // Remove the file chip from the DOM fileChip.remove(); // Update the input and selected files handleContentEditableInput({ currentTarget: inputRef.current } as any); // Focus back to the input inputRef.current.focus(); } return; } // Check if clicked within a file chip (but not on remove button) const fileChip = target.closest('.inline-file-reference'); if (fileChip) { e.preventDefault(); e.stopPropagation(); // Focus the input but position cursor appropriately if (inputRef.current) { inputRef.current.focus(); // Try to place cursor after the chip const range = document.createRange(); const selection = window.getSelection(); // Find the next text node or position after the chip let nextNode = fileChip.nextSibling; if (nextNode && nextNode.nodeType === Node.TEXT_NODE) { range.setStart(nextNode, 0); range.setEnd(nextNode, 0); } else { // Create a text node after the chip if none exists const textNode = document.createTextNode(''); fileChip.parentNode?.insertBefore(textNode, nextNode); range.setStart(textNode, 0); range.setEnd(textNode, 0); } selection?.removeAllRanges(); selection?.addRange(range); } } }; const handleFileSelect = (filePath: string) => { if (!inputRef.current) return; const selectedFile = allFiles.find(f => f.path === filePath); if (!selectedFile) return; // Find the @ trigger using the current selection/cursor position const selection = window.getSelection(); const range = selection?.getRangeAt(0); if (!range) return; // Create the file reference element const fileElement = document.createElement('span'); fileElement.className = 'inline-file-reference'; fileElement.setAttribute('data-file-path', filePath); fileElement.setAttribute('data-file-name', selectedFile.name); fileElement.setAttribute('contentEditable', 'false'); fileElement.innerHTML = `${selectedFile.name}`; // Find and replace the @ trigger and search term const text = inputRef.current.textContent || ''; const lastAtIndex = text.lastIndexOf('@'); if (lastAtIndex === -1) return; const textAfterAt = text.substring(lastAtIndex + 1); const searchTerm = textAfterAt.split(/\s/)[0]; // Find the text nodes containing the @ and search term const treeWalker = document.createTreeWalker( inputRef.current, NodeFilter.SHOW_TEXT, null ); let foundAtNode: Text | null = null; let atOffset = -1; let currentNode; while (currentNode = treeWalker.nextNode()) { const nodeText = currentNode.textContent || ''; const atIndex = nodeText.indexOf('@'); if (atIndex !== -1) { foundAtNode = currentNode as Text; atOffset = atIndex; break; } } if (foundAtNode && atOffset !== -1) { // Calculate the range for @ and search term const searchTermEnd = atOffset + 1 + searchTerm.length; // Create a range to replace the @ and search term const replaceRange = document.createRange(); replaceRange.setStart(foundAtNode, atOffset); replaceRange.setEnd(foundAtNode, Math.min(searchTermEnd, foundAtNode.length)); // Replace the range with the file element replaceRange.deleteContents(); replaceRange.insertNode(fileElement); // Add a space after the file element const spaceNode = document.createTextNode(' '); replaceRange.setStartAfter(fileElement); replaceRange.insertNode(spaceNode); // Position cursor after the space replaceRange.setStartAfter(spaceNode); replaceRange.setEndAfter(spaceNode); selection?.removeAllRanges(); selection?.addRange(replaceRange); } setShowFileAutocomplete(false); // Update selected files handleContentEditableInput({ currentTarget: inputRef.current } as any); // Ensure focus remains inputRef.current.focus(); }; const handlePaste = (e: React.ClipboardEvent) => { e.preventDefault(); // Get plain text from clipboard const text = e.clipboardData.getData('text/plain'); // Insert the plain text at cursor position const selection = window.getSelection(); const range = selection?.getRangeAt(0); if (range && inputRef.current) { range.deleteContents(); const textNode = document.createTextNode(text); range.insertNode(textNode); // Move cursor to end of inserted text range.setStartAfter(textNode); range.setEndAfter(textNode); selection?.removeAllRanges(); selection?.addRange(range); // Trigger input handler to update state handleContentEditableInput({ currentTarget: inputRef.current } as any); } }; const handleExampleClick = (utterance: string) => { if (!inputRef.current) return; // Set the input content to the example utterance inputRef.current.textContent = utterance; setInputValue(utterance); setShowExampleUtterances(false); // Focus the input and scroll it into view inputRef.current.focus(); inputRef.current.scrollIntoView({ behavior: 'smooth', block: 'center' }); // Trigger input handler to update state handleContentEditableInput({ currentTarget: inputRef.current } as any); // Small delay to ensure the input is visible, then scroll to it setTimeout(() => { inputRef.current?.scrollIntoView({ behavior: 'smooth', block: 'center' }); }, 100); }; const handleFollowupClick = (suggestion: string) => { if (!inputRef.current) return; // Set the input content to the suggestion inputRef.current.textContent = suggestion; setInputValue(suggestion); // Clear the followup suggestions setFollowupSuggestions([]); // Focus the input inputRef.current.focus(); // Trigger input handler to update state handleContentEditableInput({ currentTarget: inputRef.current } as any); // Auto-submit the followup question setTimeout(() => { handleSend(); }, 100); }; const toggleFileExpand = (fileName: string) => { setExpandedFiles(prev => { const newSet = new Set(prev); if (newSet.has(fileName)) { newSet.delete(fileName); } else { newSet.add(fileName); } return newSet; }); }; const handleInputFocus = () => { if (!inputValue.trim()) { setShowExampleUtterances(true); } }; const handleInputBlur = () => { // Don't hide examples on blur in advanced mode - keep them visible }; const handleKeyPress = (e: React.KeyboardEvent) => { // Check if cursor is inside a file chip const selection = window.getSelection(); const range = selection?.getRangeAt(0); let isInsideChip = false; if (range) { let node: Node | null = range.commonAncestorContainer; // If it's a text node, check parent if (node.nodeType === Node.TEXT_NODE) { node = node.parentNode; } // Walk up the DOM to check if we're inside a file chip while (node && node !== e.currentTarget) { if (node instanceof HTMLElement && node.classList.contains('inline-file-reference')) { isInsideChip = true; break; } node = node.parentNode; } } // Prevent editing within file chips if (isInsideChip) { // Allow navigation keys and special keys const allowedKeys = ['ArrowLeft', 'ArrowRight', 'ArrowUp', 'ArrowDown', 'Home', 'End', 'PageUp', 'PageDown']; const controlKeys = ['Backspace', 'Delete']; if (!allowedKeys.includes(e.key) && !controlKeys.includes(e.key) && !e.ctrlKey && !e.metaKey) { e.preventDefault(); return; } // Handle backspace/delete within chips - remove the entire chip if (e.key === 'Backspace' || e.key === 'Delete') { e.preventDefault(); let chipElement: Element | null = null; if (range?.commonAncestorContainer?.parentNode instanceof HTMLElement) { chipElement = range.commonAncestorContainer.parentNode.closest('.inline-file-reference'); } if (!chipElement && range?.startContainer?.parentNode instanceof HTMLElement) { chipElement = range.startContainer.parentNode.closest('.inline-file-reference'); } if (chipElement && inputRef.current) { chipElement.remove(); handleContentEditableInput({ currentTarget: inputRef.current } as any); inputRef.current.focus(); } return; } } if (showFileAutocomplete && filteredFiles.length > 0) { if (e.key === 'ArrowDown') { e.preventDefault(); setSelectedFileIndex((prev) => (prev + 1) % filteredFiles.length); return; } if (e.key === 'ArrowUp') { e.preventDefault(); setSelectedFileIndex((prev) => (prev - 1 + filteredFiles.length) % filteredFiles.length); return; } if (e.key === 'Enter' || e.key === 'Tab') { e.preventDefault(); handleFileSelect(filteredFiles[selectedFileIndex].path); return; } if (e.key === 'Escape') { e.preventDefault(); setShowFileAutocomplete(false); return; } } // Handle Enter key: Send on Enter, new line on Shift+Enter if (e.key === "Enter") { if (e.shiftKey) { // Allow new line with Shift+Enter return; } else { // Send message on Enter without Shift e.preventDefault(); handleSend(); } } }; return (
    { e.preventDefault(); dragCounter.current++; setIsDraggingFiles(true); }} onDragOver={(e) => e.preventDefault()} onDragLeave={(e) => { e.preventDefault(); dragCounter.current--; if (dragCounter.current === 0) setIsDraggingFiles(false); }} onDrop={(e) => { e.preventDefault(); dragCounter.current = 0; setIsDraggingFiles(false); const files = Array.from(e.dataTransfer.files); if (files.length > 0 && sessionAttachmentsRef.current) { sessionAttachmentsRef.current.handleFileDrop(files); } }} > {effectiveHasStartedChat && (
    CUGA Agent
    )} {!effectiveHasStartedChat ? (
    {/* Main Navigation Header - Welcome Mode Only */}

    Experience CUGA Agent

    Intelligent task automation through multi-agent orchestration, API integration, and code generation on enterprise demo applications.

    Connected Apps and Tools for This Demo

    CRM System

    20 Tools Available

    Get Accounts Get Contacts Get Leads +17 more

    Manage customers, accounts, contacts, and deals with full CRUD operations

    Workspace Files

    File Management

    Read File

    Read files from the cuga_workspace directory

    toggleFileExpand('contacts.txt')} > contacts.txt 7 contacts
    {expandedFiles.has('contacts.txt') && (
    sarah.bell@gammadeltainc.partners.org sharon.jimenez@upsiloncorp.innovation.org ruth.ross@sigmasystems.operations.com +4 more...
    )}
    and 3 more files...

    Get Started

    Try one of these examples or type your own request

    {showExampleUtterances && !inputValue.trim() && (
    {exampleUtterances.map((utterance, index) => ( ))}
    )}
    {!effectiveHasStartedChat && (
    CUGA Logo
    )}

    Key Capabilities

    Powerful features that make CUGA an intelligent automation platform

    Multi-Agent System

    CUGA orchestrates specialized agents for planning, coding & execution

    Code Execution

    CUGA writes and runs Python code in secure sandbox

    API Integration

    Users can connect any OpenAPI or MCP server instantly

    Human in the Loop

    Users can ask followup questions on variables in memory and previous conversations

    Model Flexibility

    CUGA works with small models and open source models like GPT OSS 120B and Llama 4

    Web & API Tasks

    CUGA executes both web and API tasks seamlessly

    Reasoning Modes

    Users can configure reasoning modes: lite, balanced

    ) : (
    {messages.length === 0 && (

    No messages yet

    Send a message below to start the conversation.

    )} {messages.map((message) => (
    {message.isUser ? ( ) : ( Bot Avatar )}
    {message.isCardResponse && message.chatInstance ? (
    ) : (
    )}
    ))}
    )} {/* Input area only shown when chat has started */} {effectiveHasStartedChat && (
    {/* Followup suggestions */} {followupSuggestions.length > 0 && !isProcessing && ( )}
    {!effectiveHasStartedChat && (
    CUGA Logo
    )} {/* Attachment bar + paperclip button — single instance for shared state */} {knowledgeEnabled !== false && ( {})} /> )}
    {showFileAutocomplete && filteredFiles.length > 0 && (
    Workspace Files {filteredFiles.length}
    {filteredFiles.map((file, index) => (
    handleFileSelect(file.path)} onMouseEnter={() => { setSelectedFileIndex(index); onFileHover?.(filteredFiles[index].path); }} onMouseLeave={() => onFileHover?.(null)} >
    {file.name} ./{file.path}
    ))}
    ↑↓ navigate • Enter/Tab select • Esc close
    )} {/* Show feature cards only on welcome screen, AFTER input */} {!effectiveHasStartedChat && (

    Key Capabilities

    Powerful features that make CUGA an intelligent automation platform

    Multi-Agent System

    CUGA orchestrates specialized agents for planning, coding & execution

    Code Execution

    CUGA writes and runs Python code in secure sandbox

    API Integration

    Users can connect any OpenAPI or MCP server instantly

    Smart Memory

    CUGA tracks variables and data across conversations

    )}
    )} {isDraggingFiles && (
    Drop to attach
    )}
    ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/CustomResponseStyles.css ================================================ .external { background: green; color: #fff; padding: 1rem; } /* Main container styles */ .ai-system-steps { font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, Oxygen, Ubuntu, Cantarell, "Open Sans", "Helvetica Neue", sans-serif; max-width: 800px; margin: 0 auto; padding-left: 0px !important; padding-right: 10px; } /* .new-step { animation: fadeIn 0.8s ease-out; opacity: 1; } */ /* @keyframes fadeIn { from { opacity: 0; transform: translateY(10px); } to { opacity: 1; transform: translateY(0); } } */ /* Main title */ .system-title { font-size: 1.5rem; font-weight: bold; margin-bottom: 20px; color: #333; } /* Steps container */ .steps-container { display: flex; flex-direction: column; gap: 12px; } /* Individual step */ .step { border: 1px solid #e0e0e0; border-radius: 8px; overflow: hidden; box-shadow: 0 2px 4px rgba(0, 0, 0, 0.05); transition: all 0.3s ease; } .step.expanded { box-shadow: 0 4px 8px rgba(0, 0, 0, 0.1); } /* Step header */ .step-header { padding: 12px 16px; background-color: #f5f7f9; display: flex; justify-content: space-between; /* align-items: center; */ transition: background-color 0.2s ease; } .step-header:hover { background-color: #edf0f3; } /* Title container to group title and expand button */ .title-container { display: flex; align-items: center; gap: 10px; width: 100%; } /* Step title styling */ .step-title { font-style: italic; font-weight: 500; color: #333; flex-grow: 1; } /* Expand button styling */ .expand-button { background: none; border: none; cursor: pointer; display: flex; align-items: center; justify-content: center; color: #555; padding: 4px; border-radius: 50%; transition: background-color 0.2s ease, color 0.2s ease; } .expand-button:hover { background-color: rgba(0, 0, 0, 0.05); color: #222; } /* Step content */ .step-content { padding: 16px; overflow-x: scroll; background-color: white; line-height: 1.5; } /* Styles for the stop button container to ensure it's always visible */ .stop-button-container { position: sticky; bottom: 0; opacity: 1; background-color: rgba(255, 255, 255, 0); padding: 8px 0; border-top: 0px solid #e0e0e0; z-index: 100; width: 100%; text-align: center; } .stop-button { display: flex; align-items: center; justify-content: center; padding: 8px 16px; background-color: #ff4d4d; color: white; border: none; border-radius: 4px; cursor: pointer; font-weight: bold; margin: 0 auto; box-shadow: 0 2px 4px rgba(0, 0, 0, 0.2); transition: all 0.2s ease; } .stop-button:hover { background-color: #ff3333; box-shadow: 0 3px 6px rgba(0, 0, 0, 0.3); } .stop-button:disabled { background-color: #cccccc; cursor: default; box-shadow: none; } .stop-button svg { margin-right: 8px; } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/DebugPanel.css ================================================ .debug-panel-container { position: fixed; bottom: 20px; right: 100px; z-index: 1000; font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto, sans-serif; } .debug-panel-toggle { display: flex; align-items: center; gap: 8px; padding: 8px 12px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; border: none; border-radius: 8px; cursor: pointer; font-size: 13px; font-weight: 500; box-shadow: 0 2px 8px rgba(102, 126, 234, 0.3); transition: all 0.2s ease; } .debug-panel-toggle:hover { transform: translateY(-1px); box-shadow: 0 4px 12px rgba(102, 126, 234, 0.4); } .debug-panel-content { position: absolute; bottom: 50px; right: 0; width: 500px; max-height: 600px; background: white; border-radius: 12px; box-shadow: 0 8px 24px rgba(0, 0, 0, 0.15); overflow: hidden; display: flex; flex-direction: column; } .debug-panel-header { display: flex; justify-content: space-between; align-items: center; padding: 16px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; } .debug-panel-header h3 { margin: 0; font-size: 16px; font-weight: 600; } .debug-panel-actions { display: flex; align-items: center; gap: 12px; } .debug-action-btn { display: flex; align-items: center; justify-content: center; width: 28px; height: 28px; background: rgba(255, 255, 255, 0.2); border: none; border-radius: 6px; color: white; cursor: pointer; transition: all 0.2s ease; } .debug-action-btn:hover:not(:disabled) { background: rgba(255, 255, 255, 0.3); } .debug-action-btn:disabled { opacity: 0.5; cursor: not-allowed; } .debug-action-btn .spinning { animation: spin 1s linear infinite; } @keyframes spin { from { transform: rotate(0deg); } to { transform: rotate(360deg); } } .debug-auto-refresh { display: flex; align-items: center; gap: 6px; font-size: 12px; cursor: pointer; } .debug-auto-refresh input[type="checkbox"] { cursor: pointer; } .debug-section { padding: 16px; border-bottom: 1px solid #e5e7eb; } .debug-section:last-child { border-bottom: none; } .debug-section-header { display: flex; justify-content: space-between; align-items: center; margin-bottom: 12px; } .debug-section-header strong { font-size: 14px; font-weight: 600; color: #374151; } .debug-copy-btn { display: flex; align-items: center; justify-content: center; width: 24px; height: 24px; background: #f3f4f6; border: none; border-radius: 4px; cursor: pointer; transition: all 0.2s ease; color: #6b7280; } .debug-copy-btn:hover { background: #e5e7eb; color: #374151; } .debug-thread-id { font-family: "Monaco", "Menlo", "Courier New", monospace; font-size: 12px; padding: 10px; background: #f9fafb; border: 1px solid #e5e7eb; border-radius: 6px; word-break: break-all; color: #111827; } .debug-state-content { display: flex; flex-direction: column; gap: 12px; } .debug-state-item { display: flex; flex-direction: column; gap: 4px; } .debug-state-item.debug-variables { margin-top: 8px; } .debug-label { font-size: 12px; font-weight: 600; color: #6b7280; text-transform: uppercase; letter-spacing: 0.5px; } .debug-value { font-size: 13px; color: #111827; word-break: break-word; } .debug-json { font-family: "Monaco", "Menlo", "Courier New", monospace; font-size: 11px; padding: 12px; background: #f9fafb; border: 1px solid #e5e7eb; border-radius: 6px; overflow-x: auto; max-height: 300px; overflow-y: auto; margin: 0; color: #111827; line-height: 1.5; } .debug-loading { padding: 12px; text-align: center; color: #6b7280; font-size: 13px; } .debug-error { padding: 12px; background: #fef2f2; border: 1px solid #fecaca; border-radius: 6px; color: #dc2626; font-size: 13px; } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/DebugPanel.tsx ================================================ import React, { useState, useEffect, useCallback } from "react"; import { Bug, RefreshCw, ChevronDown, ChevronUp, Copy, Check } from "lucide-react"; import { apiFetch } from "../../frontend/src/api"; import "./DebugPanel.css"; interface AgentState { thread_id: string; state: { input?: string; url?: string; current_app?: string; chat_messages_count?: number; lite_mode?: boolean | null; } | null; variables: Record; variables_count: number; message?: string; } interface DebugPanelProps { threadId: string; } const EMPTY_THREAD_ID = "Not initialized"; export function DebugPanel({ threadId }: DebugPanelProps) { const [isOpen, setIsOpen] = useState(false); const [agentState, setAgentState] = useState(null); const [isLoading, setIsLoading] = useState(false); const [error, setError] = useState(null); const [autoRefresh, setAutoRefresh] = useState(false); const [copied, setCopied] = useState(false); const fetchAgentState = useCallback(async () => { if (!threadId || threadId === EMPTY_THREAD_ID) { setError("No thread ID available"); setAgentState(null); return; } setIsLoading(true); setError(null); try { const response = await apiFetch('/api/agent/state', { method: "GET", headers: { "X-Thread-ID": threadId, }, }); if (response.status === 503) { setAgentState({ thread_id: threadId, state: null, variables: {}, variables_count: 0, message: "Agent graph not initialized", }); return; } if (!response.ok) { throw new Error(`Failed to fetch state: ${response.status} ${response.statusText}`); } const data = await response.json(); setAgentState(data); } catch (err) { setError(err instanceof Error ? err.message : "Failed to fetch agent state"); console.error("Error fetching agent state:", err); } finally { setIsLoading(false); } }, [threadId]); useEffect(() => { if (isOpen && threadId) { fetchAgentState(); } }, [isOpen, threadId, fetchAgentState]); useEffect(() => { if (!autoRefresh || !isOpen || !threadId) return; const interval = setInterval(() => { fetchAgentState(); }, 2000); return () => clearInterval(interval); }, [autoRefresh, isOpen, threadId, fetchAgentState]); const copyToClipboard = (text: string) => { navigator.clipboard.writeText(text); setCopied(true); setTimeout(() => setCopied(false), 2000); }; const formatJSON = (obj: any): string => { try { return JSON.stringify(obj, null, 2); } catch { return String(obj); } }; return (
    {isOpen && (

    Debug Information

    Thread ID {threadId && threadId !== EMPTY_THREAD_ID && ( )}
    {threadId || EMPTY_THREAD_ID}
    Agent State
    {isLoading &&
    Loading...
    } {error &&
    Error: {error}
    } {agentState && (
    Thread ID: {agentState.thread_id}
    Variables Count: {agentState.variables_count}
    {agentState.state ? ( <>
    Lite Mode: {agentState.state.lite_mode === null ? 'Not Set (using settings)' : agentState.state.lite_mode ? 'True (Fast/Lite)' : 'False (Balanced)'}
    Current App: {agentState.state.current_app || "N/A"}
    Chat Messages Count: {agentState.state.chat_messages_count || 0}
    URL: {agentState.state.url || "N/A"}
    {agentState.state.input && (
    Input: {agentState.state.input}
    )} ) : (
    State: {agentState.message || "No state available"}
    )} {Object.keys(agentState.variables).length > 0 && (
    Variables: 
    {formatJSON(agentState.variables)}
    )}
    )}
    )}
    ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/FileAutocomplete.css ================================================ .file-autocomplete { position: fixed; background: white; border: 1px solid #e5e7eb; border-radius: 8px; box-shadow: 0 10px 40px rgba(0, 0, 0, 0.15); z-index: 99999; min-width: 320px; max-width: 500px; animation: slideUpFade 0.2s ease; pointer-events: auto; } @keyframes slideUpFade { from { opacity: 0; transform: translateY(10px); } to { opacity: 1; transform: translateY(0); } } .file-autocomplete-header { display: flex; justify-content: space-between; align-items: center; padding: 8px 12px; background: linear-gradient(135deg, #667eea 0%, #764ba2 100%); color: white; font-size: 11px; font-weight: 600; border-radius: 8px 8px 0 0; text-transform: uppercase; letter-spacing: 0.5px; } .file-count { background: rgba(255, 255, 255, 0.2); padding: 2px 6px; border-radius: 10px; font-size: 10px; } .file-autocomplete-list { max-height: 400px; overflow-y: auto; padding: 4px; } .file-autocomplete-item { display: flex; align-items: center; gap: 10px; padding: 8px 10px; border-radius: 6px; cursor: pointer; transition: all 0.15s ease; margin-bottom: 2px; } .file-autocomplete-item:hover, .file-autocomplete-item.selected { background: linear-gradient(135deg, rgba(102, 126, 234, 0.1) 0%, rgba(118, 75, 162, 0.1) 100%); } .file-autocomplete-item.selected { border-left: 3px solid #667eea; padding-left: 7px; } .file-icon { flex-shrink: 0; color: #667eea; } .file-info { flex: 1; display: flex; flex-direction: column; gap: 2px; min-width: 0; } .file-name { font-size: 13px; font-weight: 500; color: #1f2937; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } .file-path { font-size: 11px; color: #6b7280; font-family: 'Monaco', 'Menlo', 'Ubuntu Mono', 'Consolas', monospace; overflow: hidden; text-overflow: ellipsis; white-space: nowrap; } .file-autocomplete-footer { padding: 6px 12px; background: #f9fafb; border-top: 1px solid #e5e7eb; border-radius: 0 0 8px 8px; } .hint { font-size: 10px; color: #9ca3af; font-style: italic; } .file-autocomplete-list::-webkit-scrollbar { width: 6px; } .file-autocomplete-list::-webkit-scrollbar-track { background: transparent; } .file-autocomplete-list::-webkit-scrollbar-thumb { background: #cbd5e1; border-radius: 3px; } .file-autocomplete-list::-webkit-scrollbar-thumb:hover { background: #94a3b8; } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/FileAutocomplete.tsx ================================================ import { useState, useEffect, useRef, useCallback } from "react"; import { FileText } from "lucide-react"; import React from "react"; import "./FileAutocomplete.css"; interface FileNode { name: string; path: string; type: "file" | "directory"; children?: FileNode[]; } interface FileAutocompleteProps { onFileSelect: (filePath: string) => void; onAutocompleteOpen?: () => void; onFileHover?: (filePath: string | null) => void; disabled?: boolean; } export function FileAutocomplete({ onFileSelect, onAutocompleteOpen, onFileHover, disabled = false }: FileAutocompleteProps) { const [allFiles, setAllFiles] = useState>([]); const [suggestions, setSuggestions] = useState>([]); const [showSuggestions, setShowSuggestions] = useState(false); const [selectedIndex, setSelectedIndex] = useState(0); const [position, setPosition] = useState<{ top: number; left: number } | null>(null); const currentInputValueRef = useRef(''); const lastProcessedValueRef = useRef(''); const usedMockRef = useRef(false); const suggestionsRef = useRef(null); const isProcessingRef = useRef(false); const selectedItemRef = useRef(null); const getInputPosition = () => { const inputContainer = document.querySelector('.WACInputContainer'); if (inputContainer) { const rect = inputContainer.getBoundingClientRect(); return { top: rect.top, left: rect.left, width: rect.width }; } const carbonChat = document.querySelector('cds-aichat-react'); if (carbonChat) { const rect = carbonChat.getBoundingClientRect(); return { top: rect.top, left: rect.left, width: rect.width }; } const textarea = document.querySelector('.WAC__TextArea-textarea, textarea, input[type="text"]') as HTMLTextAreaElement | HTMLInputElement | null; if (textarea) { const rect = textarea.getBoundingClientRect(); if (rect.top > 50 && rect.left > 0) { return { top: rect.top, left: rect.left, width: rect.width }; } } return { top: window.innerHeight - 100, left: 20, width: Math.min(600, window.innerWidth - 40) }; }; const handleInputChange = (value: string) => { if (isProcessingRef.current || value === lastProcessedValueRef.current) { return; } isProcessingRef.current = true; lastProcessedValueRef.current = value; const lastAtIndex = value.lastIndexOf('@'); if (lastAtIndex !== -1) { const charBeforeAt = lastAtIndex > 0 ? value[lastAtIndex - 1] : ' '; const isValidTrigger = lastAtIndex === 0 || /\s/.test(charBeforeAt); if (isValidTrigger) { const textAfterAt = value.substring(lastAtIndex + 1); const searchTerm = textAfterAt.split(/\s/)[0].trim(); let filtered; if (searchTerm === '') { filtered = allFiles.slice(0, 10); } else { const lowerSearchTerm = searchTerm.toLowerCase(); filtered = allFiles.filter(file => { const nameMatch = file.name.toLowerCase().includes(lowerSearchTerm); const pathMatch = file.path.toLowerCase().includes(lowerSearchTerm); return nameMatch || pathMatch; }).slice(0, 10); } if (filtered.length > 0) { setSuggestions(filtered); setSelectedIndex(0); setShowSuggestions(true); onAutocompleteOpen?.(); const inputPos = getInputPosition(); const dropdownHeight = Math.min(filtered.length * 42 + 60, 450); let top = inputPos.top - dropdownHeight - 8; if (top < 0) { top = inputPos.top + 60; } const pos = { top: Math.max(10, top), left: Math.max(10, inputPos.left + 50) }; setPosition(pos); } else { setShowSuggestions(false); } } else { setShowSuggestions(false); } } else { setShowSuggestions(false); } requestAnimationFrame(() => { isProcessingRef.current = false; }); }; const handleFileSelect = useCallback((file: { name: string; path: string }) => { const textarea = document.getElementById('main-input_field') as HTMLTextAreaElement; if (!textarea) { return; } let currentValue = textarea.value; const lastAtIndex = currentValue.lastIndexOf('@'); if (lastAtIndex === -1) { return; } const textAfterAt = currentValue.substring(lastAtIndex + 1); const searchTerm = textAfterAt.split(/\s/)[0]; const textAfterSearchTerm = currentValue.substring(lastAtIndex + 1 + searchTerm.length); const newValue = currentValue.substring(0, lastAtIndex) + `./${file.path}` + textAfterSearchTerm; const nativeTextareaSetter = Object.getOwnPropertyDescriptor( window.HTMLTextAreaElement.prototype, 'value' )?.set; if (nativeTextareaSetter) { nativeTextareaSetter.call(textarea, newValue); } else { textarea.value = newValue; } const inputEvent = new InputEvent('input', { bubbles: true, composed: true, inputType: 'insertText', data: newValue }); textarea.dispatchEvent(inputEvent); textarea.focus(); const cursorPosition = newValue.length; textarea.setSelectionRange(cursorPosition, cursorPosition); currentInputValueRef.current = newValue; lastProcessedValueRef.current = newValue; setShowSuggestions(false); onFileSelect(file.path); }, [onFileSelect]); useEffect(() => { if (disabled) { return; } loadWorkspaceFiles(); const fileInterval = setInterval(loadWorkspaceFiles, 15000); // Listen to Carbon AI Chat events const setupCarbonListeners = () => { // Find the Carbon AI Chat component const carbonChat = document.querySelector('cds-aichat-react') as any; // Also check for custom chat textarea const customChatTextarea = document.getElementById('main-input_field'); if (carbonChat || customChatTextarea) { // Listen for input events from Carbon chat const handleCarbonInput = (event: any) => { const target = event.target || event.currentTarget; const tryHandleValue = (value: string | null | undefined) => { if (typeof value === 'string') { currentInputValueRef.current = value; handleInputChange(value); return true; } return false; }; if (tryHandleValue((target as any)?.value)) { return; } if (tryHandleValue(event.detail?.value)) { return; } if (typeof event.composedPath === 'function') { const path = event.composedPath(); for (const el of path) { const node = el as any; if ( node && (node.tagName === 'TEXTAREA' || node.tagName === 'INPUT' || node.contentEditable === 'true') ) { if (tryHandleValue(node.value || node.textContent)) { return; } } } } const active = document.activeElement as any; if ( active && (active.tagName === 'TEXTAREA' || active.tagName === 'INPUT' || active.contentEditable === 'true') ) { if (tryHandleValue(active.value || active.textContent)) { return; } } const textarea = document.querySelector( '.WAC__TextArea-textarea, textarea, input[type="text"], [contenteditable]' ) as any; if (textarea) { tryHandleValue(textarea.value || textarea.textContent); } }; // Only add Carbon Chat listeners if it exists if (carbonChat) { carbonChat.addEventListener('input', handleCarbonInput); carbonChat.addEventListener('change', handleCarbonInput); carbonChat.addEventListener('input-change', handleCarbonInput); carbonChat.addEventListener('value-change', handleCarbonInput); } setTimeout(() => { const textareas = document.querySelectorAll('.WAC__TextArea-textarea, textarea, input[type="text"], [contenteditable]'); textareas.forEach(textarea => { if (!textarea.hasAttribute('data-autocomplete-listener')) { textarea.setAttribute('data-autocomplete-listener', 'true'); textarea.addEventListener('input', (e: any) => { // Don't stop propagation - let React handle it too const value = e.target?.value || e.target?.textContent || ''; currentInputValueRef.current = value; handleInputChange(value); }); } }); }, 1000); const handleDocumentInput = (e: Event) => { const target = e.target as any; if (target && target.hasAttribute('data-autocomplete-listener')) { return; } if (target && (target.tagName === 'TEXTAREA' || target.tagName === 'INPUT' || target.contentEditable === 'true')) { // Don't stop propagation - let other handlers process it too const value = target.value || target.textContent || ''; currentInputValueRef.current = value; handleInputChange(value); } }; document.addEventListener('input', handleDocumentInput, true); return () => { // Only remove Carbon Chat listeners if it existed if (carbonChat) { carbonChat.removeEventListener('input', handleCarbonInput); carbonChat.removeEventListener('change', handleCarbonInput); carbonChat.removeEventListener('input-change', handleCarbonInput); carbonChat.removeEventListener('value-change', handleCarbonInput); } document.removeEventListener('input', handleDocumentInput, true); }; } else { setTimeout(setupCarbonListeners, 500); } }; setupCarbonListeners(); return () => { clearInterval(fileInterval); }; }, [disabled]); useEffect(() => { if (disabled) { return; } const handleKeyDown = (e: KeyboardEvent) => { if (!showSuggestions || suggestions.length === 0) { return; } if (e.key === 'ArrowDown') { e.preventDefault(); e.stopPropagation(); e.stopImmediatePropagation(); setSelectedIndex(prev => (prev + 1) % suggestions.length); } else if (e.key === 'ArrowUp') { e.preventDefault(); e.stopPropagation(); e.stopImmediatePropagation(); setSelectedIndex(prev => (prev - 1 + suggestions.length) % suggestions.length); } else if (e.key === 'Enter') { e.preventDefault(); e.stopPropagation(); e.stopImmediatePropagation(); if (suggestions[selectedIndex]) { handleFileSelect(suggestions[selectedIndex]); } } else if (e.key === 'Tab') { e.preventDefault(); e.stopPropagation(); e.stopImmediatePropagation(); if (suggestions[selectedIndex]) { handleFileSelect(suggestions[selectedIndex]); } } else if (e.key === 'Escape') { e.preventDefault(); e.stopPropagation(); e.stopImmediatePropagation(); setShowSuggestions(false); } }; document.addEventListener('keydown', handleKeyDown, true); return () => { document.removeEventListener('keydown', handleKeyDown, true); }; }, [suggestions, selectedIndex, showSuggestions, handleFileSelect, disabled]); useEffect(() => { if (selectedItemRef.current) { selectedItemRef.current.scrollIntoView({ behavior: 'smooth', block: 'nearest', inline: 'nearest' }); } }, [selectedIndex]); // Highlight file when selection changes via keyboard navigation useEffect(() => { if (showSuggestions && suggestions.length > 0 && selectedIndex >= 0 && selectedIndex < suggestions.length) { onFileHover?.(suggestions[selectedIndex].path); } else if (!showSuggestions) { onFileHover?.(null); } }, [selectedIndex, showSuggestions, suggestions, onFileHover]); const loadWorkspaceFiles = async () => { try { const { workspaceService } = await import('./workspaceService'); const data = await workspaceService.getWorkspaceTree(); const files = extractFiles(data.tree || []); setAllFiles(files); } catch (error) { if (!usedMockRef.current) { useMockData(); } } }; const useMockData = () => { const mockFiles = [ { name: 'top_opportunities_arkansas.txt', path: 'cuga_workspace/top_opportunities_arkansas.txt' }, { name: 'top_10_opportunities_arkansas.txt', path: 'cuga_workspace/top_10_opportunities_arkansas.txt' }, { name: 'top_3_opportunities_arkansas.txt', path: 'cuga_workspace/top_3_opportunities_arkansas.txt' }, { name: 'analysis_report.md', path: 'cuga_workspace/analysis_report.md' }, { name: 'data_export.json', path: 'cuga_workspace/data_export.json' }, ]; usedMockRef.current = true; setAllFiles(mockFiles); }; const extractFiles = (nodes: FileNode[]): Array<{ name: string; path: string }> => { const files: Array<{ name: string; path: string }> = []; for (const node of nodes) { if (node.type === "file") { files.push({ name: node.name, path: node.path }); } else if (node.children) { files.push(...extractFiles(node.children)); } } return files; }; return ( <> {showSuggestions && suggestions.length > 0 && position && (
    Workspace Files {suggestions.length}
    {suggestions.map((file, index) => (
    { e.preventDefault(); handleFileSelect(file); }} onMouseEnter={() => { setSelectedIndex(index); onFileHover?.(file.path); }} onMouseLeave={() => onFileHover?.(null)} >
    {file.name} ./{file.path}
    ))}
    ↑↓ navigate • Enter/Tab select • Esc close
    )} ); } ================================================ FILE: src/frontend_workspaces/agentic_chat/src/Followup.tsx ================================================ import React, { useState, useEffect } from "react"; import { Check, X, Send } from "lucide-react"; interface Option { value: string; label: string; description?: string; } interface FollowupActionProps { followupAction: { action_id: string; action_name: string; description?: string; type: string; button_text?: string; placeholder?: string; options?: Option[]; max_selections?: number; min_selections?: number; required?: boolean; validation_pattern?: string; max_length?: number; min_length?: number; color?: string; }; callback: (response: any) => void; } export const FollowupAction = ({ followupAction, callback }: FollowupActionProps) => { const [response, setResponse] = useState(""); const [selectedValues, setSelectedValues] = useState([]); const [isSubmitted, setIsSubmitted] = useState(false); const [startTime] = useState(Date.now()); const [isWaiting, setIsWaiting] = useState(true); // Safety check for followupAction if (!followupAction) { console.error("FollowupAction received null or undefined followupAction"); return
    Error: Invalid action data
    ; } const { action_id, action_name, description, type, button_text, placeholder, options, max_selections, min_selections = 1, required = true, validation_pattern, max_length, min_length, color = "primary", } = followupAction; useEffect(() => { const timer = setTimeout(() => { setIsWaiting(false); }, 300); return () => clearTimeout(timer); }, []); const colorThemes = { primary: { button: "bg-blue-500 hover:bg-blue-600 text-white", accent: "text-blue-600 border-blue-200 bg-blue-50", }, success: { button: "bg-green-500 hover:bg-green-600 text-white", accent: "text-green-600 border-green-200 bg-green-50", }, warning: { button: "bg-yellow-500 hover:bg-yellow-600 text-white", accent: "text-yellow-600 border-yellow-200 bg-yellow-50", }, danger: { button: "bg-red-500 hover:bg-red-600 text-white", accent: "text-red-600 border-red-200 bg-red-50", }, secondary: { button: "bg-gray-500 hover:bg-gray-600 text-white", accent: "text-gray-600 border-gray-200 bg-gray-50", }, }; const theme = colorThemes[color as keyof typeof colorThemes] || colorThemes.primary; const createResponse = (responseData: any) => { const baseResponse = { action_id, response_type: type, timestamp: new Date().toISOString(), response_time_ms: Date.now() - startTime, client_info: { user_agent: navigator.userAgent, language: navigator.language, platform: navigator.platform, }, }; return { ...baseResponse, ...responseData }; }; const handleSubmit = (responseData: any) => { if (isSubmitted) return; setIsSubmitted(true); const fullResponse = createResponse(responseData); callback(fullResponse); }; const handleTextSubmit = () => { if (!response.trim() && required) return; // Validation if (validation_pattern && !new RegExp(validation_pattern).test(response)) { // Replaced alert with a simple console log for demonstration. // In a real app, you'd use a custom modal or inline error message. console.error("Please enter a valid response"); return; } if (min_length && response.length < min_length) { console.error(`Response must be at least ${min_length} characters`); return; } if (max_length && response.length > max_length) { console.error(`Response must be no more than ${max_length} characters`); return; } handleSubmit({ text_response: response }); }; const handleButtonClick = () => { handleSubmit({ button_clicked: true }); }; const handleConfirmation = (confirmed: boolean) => { handleSubmit({ confirmed }); }; const handleSelectChange = (value: string) => { let newSelection: string[]; if (type === "multi_select") { if (selectedValues.includes(value)) { newSelection = selectedValues.filter((v) => v !== value); } else { if (max_selections && selectedValues.length >= max_selections) { return; } newSelection = [...selectedValues, value]; } } else { newSelection = [value]; } setSelectedValues(newSelection); if (type === "select") { const selectedOptions = (options || []).filter((opt) => newSelection.includes(opt.value)); handleSubmit({ selected_values: newSelection, selected_options: selectedOptions, }); } }; const handleMultiSelectSubmit = () => { if (selectedValues.length < min_selections) { console.error(`Please select at least ${min_selections} option(s)`); return; } const selectedOptions = (options || []).filter((opt) => selectedValues.includes(opt.value)); handleSubmit({ selected_values: selectedValues, selected_options: selectedOptions, }); }; const renderWaitingState = () => (
    Loading...
    ); const renderActionContent = () => { if (isWaiting) { return renderWaitingState(); } if (isSubmitted) { return (
    Response submitted successfully!
    ); } switch (type) { case "button": return ( ); case "text_input": case "natural_language": return (
    ${this.helperText}
    ${this.invalid?this.invalidText:this.warnText}
    `}updated(){var o;if((o=super.updated)===null||o===void 0||o.call(this),this.cols!==this._prevCols&&(this._prevCols=this.cols,this._measureWrapper()),this.counterMode!==this._prevCounterMode){const e=this._textarea;e&&(this.counterMode==="character"?e.setAttribute("maxlength",String(this.maxCount)):e.removeAttribute("maxlength")),this._prevCounterMode=this.counterMode}}_measureWrapper(){var o,e,s;const c=(o=this.shadowRoot)===null||o===void 0?void 0:o.querySelector(`.${tt}--text-area__wrapper`),n=c==null?void 0:c.scrollWidth,r=(e=this.shadowRoot)===null||e===void 0?void 0:e.querySelector(`.${tt}--form__helper-text`),a=(s=this.shadowRoot)===null||s===void 0?void 0:s.querySelector(`.${tt}--form-requirement`);[r,a].forEach(d=>{d&&(d.style.maxWidth=`${n}px`,d.style.overflowWrap="break-word")})}};Ja.shadowRootOptions=Object.assign(Object.assign({},Bo.shadowRootOptions),{delegatesFocus:!0});Ja.styles=ZD;lt([gt({type:Number})],Ja.prototype,"cols",void 0);lt([gt({type:String,reflect:!0,hasChanged(t,o){return(t==="character"||t==="word")&&t!==o},attribute:"counter-mode"})],Ja.prototype,"counterMode",void 0);lt([gt()],Ja.prototype,"id",void 0);lt([gt()],Ja.prototype,"pattern",void 0);lt([gt({type:Boolean,reflect:!0})],Ja.prototype,"required",void 0);lt([gt()],Ja.prototype,"rows",void 0);lt([Qr("textarea")],Ja.prototype,"_textarea",void 0);Ja=lt([ae(`${tt}-textarea`)],Ja);let oC=class extends Bo{render(){return Mt`
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.cds-custom--popover-content{inset-block-start:0;inset-inline-start:0;transform:translate(calc(var(--cds-popover-offset, 0rem)*-1),calc(-100% - var(--cds-popover-offset, 0rem)))}:host(cds-custom-ai-label:dir(rtl)[alignment=top-left]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-popover-content:dir(rtl)[align=top-left]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-slug[alignment=top-left]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-toggletip:dir(rtl)[alignment=top-left]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-tooltip-content:dir(rtl)[align=top-left]:not([autoalign])) .cds-custom--popover-content{inset-inline-end:0;inset-inline-start:auto}:host(cds-custom-ai-label[alignment=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-popover-content[align=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-slug[alignment=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-toggletip[alignment=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-tooltip-content[align=top-right]:not([autoalign])) .cds-custom--popover-content{inset-block-start:0;inset-inline-end:0;transform:translate(var(--cds-popover-offset,0),calc(-100% - var(--cds-popover-offset, 0rem)))}:host(cds-custom-ai-label:dir(rtl)[alignment=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-popover-content:dir(rtl)[align=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-slug[alignment=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-toggletip:dir(rtl)[alignment=top-right]:not([autoalign])) .cds-custom--popover-content,:host(cds-custom-tooltip-content:dir(rtl)[align=top-right]:not([autoalign])) .cds-custom--popover-content{inset-inline-start:0}:host(cds-custom-popover-content[autoalign]) .cds-custom--popover-caret,:host(cds-custom-toggletip[autoalign]) .cds-custom--popover-caret,:host(cds-custom-tooltip-content[autoalign]) .cds-custom--popover-caret{block-size:8px;inline-size:8px;transform:rotate(45deg)}:host(cds-custom-ai-label[autoalign]) .cds-custom--popover-container,:host(cds-custom-popover[autoalign]) .cds-custom--popover-container,:host(cds-custom-slug[autoalign]) .cds-custom--popover-container,:host(cds-custom-toggletip[autoalign]) .cds-custom--popover-container,:host(cds-custom-tooltip[autoalign]) .cds-custom--popover-container{position:static}']);class QD{constructor(o){this.updatePlacement=()=>{this.computePlacement()},this.host=o,o.addController(this)}async setPlacement(o=this.options){this.options=o;const{trigger:e,target:s}=o;this.cleanup=Gx(e,s,this.updatePlacement)}async computePlacement(){var o;const{arrowElement:e,alignment:s,caret:c,trigger:n,target:r,styleElement:a,matchWidth:d,open:l,flipArguments:v,alignmentAxisOffset:y}=this.options,C=a??r;if(!C)return;let k;switch(s){case"top-left":k="top-start";break;case"top-right":k="top-end";break;case"bottom-left":k="bottom-start";break;case"bottom-right":k="bottom-end";break;case"left-bottom":k="left-end";break;case"left-top":k="left-start";break;case"right-bottom":k="right-end";break;case"right-top":k="right-start";break;default:k=s;break}const x=[QR(v),JR((y??0)+(c?10:0)),...c&&e?[_2({element:e,padding:15})]:[],...d&&(k==="bottom"||k==="top")?[x2({apply({rects:I,elements:O}){O.floating.style.width=`${I.reference.width}px`}})]:[x2({apply({elements:I}){I.floating.style.removeProperty("width")}})]];if(l){const{x:I,y:O,placement:j,middlewareData:st,strategy:K}=await tM(n,C,{strategy:"fixed",middleware:x,placement:k});if(C.style.left=`${I}px`,C.style.top=`${O}px`,C.style.position=`${K}`,e){const{x:pt,y:it}=st.arrow,ot={top:"bottom",right:"left",bottom:"top",left:"right"}[j.split("-")[0]];e.style.left=pt!=null?`${pt}px`:"",e.style.top=it!=null?`${it}px`:"",e.style.right="",e.style.bottom="",e.style[ot]=`${-e.offsetWidth/2}px`}(this.host.tagName==="CDS-AI-LABEL"||this.host.tagName==="CDS-SLUG")&&((o=this.host)===null||o===void 0||o.setAttribute("alignment",j))}}hostUpdated(){var o;this.host.hasAttribute("open")||((o=this.cleanup)===null||o===void 0||o.call(this),this.cleanup=void 0)}hostDisconnected(){var o;(o=this.cleanup)===null||o===void 0||o.call(this),this.cleanup=void 0}}var d1;let mr=d1=class extends zn(Bo){_handleSlotChange({target:o}){this.tabTip&&o.assignedNodes().filter(s=>s.nodeType!==Node.TEXT_NODE||s.textContent.trim())[0].classList.add(`${tt}--popover--tab-tip__button`),this.requestUpdate()}_handleFocusOut(o){const e=o.relatedTarget;this.contains(e)||(this.open=!1)}_handleOutsideClick(o){const e=o.target;this.open&&e&&!this.contains(e)&&(this.open=!1)}constructor(){super(),this.popoverController=new QD(this),this.align="",this.autoalign=!1,this.caret=!0,this.dropShadow=!0,this.highContrast=!1,this.open=!1,this.tabTip=!1,this._handleOutsideClick=this._handleOutsideClick.bind(this)}connectedCallback(){super.connectedCallback(),document.addEventListener("click",this._handleOutsideClick)}disconnectedCallback(){document.removeEventListener("click",this._handleOutsideClick)}updated(o){var e,s,c;const{selectorPopoverContent:n}=this.constructor;if(["open","align","autoalign","caret","dropShadow","tabTip"].forEach(r=>{if(o.has(r)){const{[r]:a}=this;this.querySelector(n)&&(this.querySelector(n)[r]=a)}}),this.autoalign&&this.open){const r=this._triggerSlotNode.assignedElements()[0],a=this._contentSlotNode.assignedElements()[0],d=(e=a==null?void 0:a.shadowRoot)===null||e===void 0?void 0:e.querySelector(d1.selectorPopoverContentClass),l=(s=a==null?void 0:a.shadowRoot)===null||s===void 0?void 0:s.querySelector(d1.selectorPopoverCaret);r&&d&&((c=this.popoverController)===null||c===void 0||c.setPlacement({trigger:r,target:d,arrowElement:this.caret&&l?l:void 0,caret:this.caret,flipArguments:{fallbackAxisSideDirection:"start"},alignment:this.align,open:this.open}))}}render(){const{dropShadow:o,highContrast:e,open:s,tabTip:c,_handleSlotChange:n}=this;c&&(this.caret=!c),this.align=this.align?this.align:c?"bottom-left":"bottom";const r=Fe({[`${tt}--popover-container`]:!0,[`${tt}--popover--caret`]:this.caret,[`${tt}--popover--drop-shadow`]:o,[`${tt}--popover--high-contrast`]:e,[`${tt}--popover--open`]:s,[`${tt}--popover--${this.align}`]:!0,[`${tt}--popover--tab-tip`]:c});return Mt` `}static get selectorPopoverContentClass(){return`.${tt}--popover-content`}static get selectorPopoverCaret(){return`.${tt}--popover-caret`}static get selectorPopoverContent(){return`${tt}-popover-content`}};mr.styles=JD;lt([Qr("slot")],mr.prototype,"_triggerSlotNode",void 0);lt([Qr('slot[name="content"]')],mr.prototype,"_contentSlotNode",void 0);lt([gt({reflect:!0,type:String})],mr.prototype,"align",void 0);lt([gt({type:Boolean,reflect:!0})],mr.prototype,"autoalign",void 0);lt([gt({type:Boolean,reflect:!0})],mr.prototype,"caret",void 0);lt([gt({type:Boolean,reflect:!0})],mr.prototype,"dropShadow",void 0);lt([gt({type:Boolean,reflect:!0})],mr.prototype,"highContrast",void 0);lt([gt({type:Boolean,reflect:!0})],mr.prototype,"open",void 0);lt([gt({type:Boolean,reflect:!0})],mr.prototype,"tabTip",void 0);lt([We("focusout")],mr.prototype,"_handleFocusOut",null);mr=d1=lt([ae(`${tt}-popover`)],mr);var RQ=mr;let Qa=class extends Bo{constructor(){super(...arguments),this.align="",this.autoalign=!1,this.dropShadow=!0,this.open=!1,this.tabTip=!1,this.slot="content"}render(){return this.autoalign?Mt` `:Mt` `}};Qa.styles=JD;lt([gt({reflect:!0,type:String})],Qa.prototype,"align",void 0);lt([gt({type:Boolean,reflect:!0})],Qa.prototype,"autoalign",void 0);lt([gt({type:Boolean,reflect:!0})],Qa.prototype,"caret",void 0);lt([gt({type:Boolean,reflect:!0})],Qa.prototype,"dropShadow",void 0);lt([gt({type:Boolean,reflect:!0})],Qa.prototype,"open",void 0);lt([gt({type:Boolean,reflect:!0})],Qa.prototype,"tabTip",void 0);lt([gt({reflect:!0})],Qa.prototype,"slot",void 0);Qa=lt([ae(`${tt}-popover-content`)],Qa);var MQ=Qa,JE=ts(['@keyframes cds-custom--hide-feedback{0%{opacity:1;visibility:inherit}to{opacity:0;visibility:hidden}}@keyframes cds-custom--show-feedback{0%{opacity:0;visibility:hidden}to{opacity:1;visibility:inherit}}@keyframes 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,1rem)}.cds-custom--layout-constraint--density__max-normal{--cds-layout-density-padding-inline-max:var(--cds-layout-density-padding-inline-normal,1rem)}:root{--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px}.cds-custom--assistive-text,.cds-custom--visually-hidden{block-size:1px;border:0;margin:-1px;overflow:hidden;padding:0;position:absolute;clip:rect(0,0,0,0);inline-size:1px;visibility:inherit;white-space:nowrap}.cds-custom--layer-one,:root{--cds-layer:var(--cds-layer-01,#f4f4f4);--cds-layer-active:var(--cds-layer-active-01,#c6c6c6);--cds-layer-background:var(--cds-layer-background-01,#fff);--cds-layer-hover:var(--cds-layer-hover-01,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-01,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-01,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-01,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-01,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-01,#a8a8a8);--cds-field:var(--cds-field-01,#f4f4f4);--cds-field-hover:var(--cds-field-hover-01,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-00,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-01,#c6c6c6);--cds-border-strong:var(--cds-border-strong-01,#8d8d8d);--cds-border-tile:var(--cds-border-tile-01,#c6c6c6)}.cds-custom--layer-two{--cds-layer:var(--cds-layer-02,#fff);--cds-layer-active:var(--cds-layer-active-02,#c6c6c6);--cds-layer-background:var(--cds-layer-background-02,#f4f4f4);--cds-layer-hover:var(--cds-layer-hover-02,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-02,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-02,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-02,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-02,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-02,#a8a8a8);--cds-field:var(--cds-field-02,#fff);--cds-field-hover:var(--cds-field-hover-02,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-01,#c6c6c6);--cds-border-subtle-selected:var(--cds-border-subtle-selected-02,#c6c6c6);--cds-border-strong:var(--cds-border-strong-02,#8d8d8d);--cds-border-tile:var(--cds-border-tile-02,#a8a8a8)}.cds-custom--layer-three{--cds-layer:var(--cds-layer-03,#f4f4f4);--cds-layer-active:var(--cds-layer-active-03,#c6c6c6);--cds-layer-background:var(--cds-layer-background-03,#fff);--cds-layer-hover:var(--cds-layer-hover-03,#e8e8e8);--cds-layer-selected:var(--cds-layer-selected-03,#e0e0e0);--cds-layer-selected-hover:var(--cds-layer-selected-hover-03,#d1d1d1);--cds-layer-accent:var(--cds-layer-accent-03,#e0e0e0);--cds-layer-accent-hover:var(--cds-layer-accent-hover-03,#d1d1d1);--cds-layer-accent-active:var(--cds-layer-accent-active-03,#a8a8a8);--cds-field:var(--cds-field-03,#f4f4f4);--cds-field-hover:var(--cds-field-hover-03,#e8e8e8);--cds-border-subtle:var(--cds-border-subtle-02,#e0e0e0);--cds-border-subtle-selected:var(--cds-border-subtle-selected-03,#c6c6c6);--cds-border-strong:var(--cds-border-strong-03,#8d8d8d);--cds-border-tile:var(--cds-border-tile-03,#c6c6c6)}.cds-custom--layer-one.cds-custom--layer__with-background,.cds-custom--layer-three.cds-custom--layer__with-background,.cds-custom--layer-two.cds-custom--layer__with-background{background-color:var(--cds-layer-background)}.cds-custom--popover-container{display:inline-block}.cds-custom--popover-container:not(.cds-custom--popover--auto-align){position:relative}.cds-custom--popover--high-contrast 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.cds-custom--snippet__icon{fill:var(--cds-icon-disabled,hsla(0,0%,9%,.25))}.cds-custom--snippet code{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333)}.cds-custom--snippet--inline{background-color:var(--cds-layer);border:1px solid transparent;border-radius:4px;color:var(--cds-text-primary,#161616);cursor:pointer;display:inline;padding:0;position:relative}.cds-custom--snippet--inline html{font-size:100%}.cds-custom--snippet--inline body{font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;text-rendering:optimizeLegibility}.cds-custom--snippet--inline code{font-family:IBM Plex 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var(--cds-shadow,rgba(0,0,0,.3));box-sizing:content-box;color:var(--cds-text-inverse,#fff);display:none;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:400;font-weight:var(--cds-body-compact-01-font-weight,400);inline-size:-moz-max-content;inline-size:max-content;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);margin:auto;max-inline-size:13rem;min-inline-size:1.5rem;overflow:visible;padding:.1875rem 1rem;text-align:start;transform:translateX(-50%);z-index:6000;clip:auto}@media (-ms-high-contrast:active),(-ms-high-contrast:none){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{inline-size:auto}}@supports (-ms-accelerator:true){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{inline-size:auto}}@supports (-ms-ime-align:auto){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{inline-size:auto}}@media screen and (-ms-high-contrast:active),screen and (prefers-contrast){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{border:1px solid transparent}}.cds-custom--snippet--inline.cds-custom--copy-btn--animating .cds-custom--copy-btn__feedback,.cds-custom--snippet--inline.cds-custom--copy-btn--animating:before{display:block}.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-out .cds-custom--copy-btn__feedback,.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-out:before{animation:cds-custom--hide-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-in .cds-custom--copy-btn__feedback,.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-in:before{animation:cds-custom--show-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--inline code{padding:0 .5rem}.cds-custom--snippet--inline.cds-custom--snippet--no-copy{display:inline-block}.cds-custom--snippet--inline.cds-custom--snippet--no-copy:hover{background-color:var(--cds-layer);cursor:auto}.cds-custom--snippet--light.cds-custom--snippet--inline.cds-custom--snippet--no-copy:hover{background-color:var(--cds-layer-hover);cursor:auto}.cds-custom--snippet--single{align-items:center;background-color:var(--cds-layer);block-size:2.5rem;display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);inline-size:100%;letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);max-inline-size:48rem;padding-inline-end:2.5rem;position:relative}.cds-custom--snippet--single.cds-custom--snippet--no-copy{padding:0}.cds-custom--snippet--single.cds-custom--snippet--no-copy:after{inset-inline-end:1rem}.cds-custom--snippet--single .cds-custom--snippet-container{align-items:center;block-size:100%;display:flex;overflow-x:auto;padding-inline-start:1rem;position:relative}.cds-custom--snippet--single .cds-custom--snippet-container:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds-custom--snippet--single .cds-custom--snippet-container:focus{outline-style:dotted}}.cds-custom--snippet--single pre{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);padding-inline-end:.5rem}.cds-custom--snippet--inline code,.cds-custom--snippet--single pre{white-space:pre}.cds-custom--snippet--multi{background-color:var(--cds-layer);display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);inline-size:100%;letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);max-inline-size:48rem;padding:1rem;position:relative}.cds-custom--snippet--multi .cds-custom--snippet-container{max-block-size:100%;min-block-size:100%;order:1;overflow-y:auto;position:relative;transition:max-height .15s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--multi .cds-custom--snippet-container:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px;outline-offset:0}@media screen and (prefers-contrast){.cds-custom--snippet--multi .cds-custom--snippet-container:focus{outline-style:dotted}}.cds-custom--snippet--multi.cds-custom--snippet--expand .cds-custom--snippet-container{padding-block-end:1rem;transition:max-height .15s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--multi.cds-custom--snippet--wraptext pre{white-space:pre-wrap;word-wrap:break-word}.cds-custom--snippet--multi .cds-custom--snippet-container pre{padding-inline-end:2.5rem}.cds-custom--snippet--multi.cds-custom--snippet--no-copy .cds-custom--snippet-container pre{padding-inline-end:0}.cds-custom--snippet--multi.cds-custom--snippet--has-right-overflow:after{background-image:linear-gradient(to right,transparent,var(--cds-layer));block-size:100%;content:"";inline-size:1rem;inset-block-start:0;inset-inline-end:1rem;position:absolute}[dir=rtl] .cds-custom--snippet--multi.cds-custom--snippet--has-right-overflow:after{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds-custom--snippet--multi .cds-custom--snippet-container pre code{overflow:hidden}.cds-custom--snippet__icon{block-size:1rem;fill:var(--cds-icon-primary,#161616);inline-size:1rem;transition:all 70ms cubic-bezier(.2,0,.38,.9)}.cds-custom--btn>.cds-custom--snippet__icon{margin-block-start:0}.cds-custom--copy-btn{align-items:center;background-color:var(--cds-layer);border:none;cursor:pointer;display:flex;justify-content:center;outline:none;overflow:visible;padding:0}.cds-custom--copy-btn html{font-size:100%}.cds-custom--copy-btn body{font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;text-rendering:optimizeLegibility}.cds-custom--copy-btn code{font-family:IBM Plex Mono,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,monospace}.cds-custom--copy-btn strong{font-weight:600}.cds-custom--copy-btn:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-color:var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds-custom--copy-btn:focus{outline-style:dotted}}.cds-custom--snippet .cds-custom--popover-container{font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;inset-block-start:0;inset-inline-end:0;position:absolute}.cds-custom--snippet--inline.cds-custom--btn{block-size:1.25rem;inline-size:auto;max-inline-size:unset;min-block-size:1.25rem;padding-inline:0}.cds-custom--snippet--inline.cds-custom--btn.cds-custom--btn--primary:hover{color:var(--cds-text-primary,#161616)}.cds-custom--snippet.cds-custom--snippet--multi .cds-custom--popover-container{inset-block-start:.5rem;inset-inline-end:.5rem}.cds-custom--snippet--multi .cds-custom--copy-btn{z-index:10}.cds-custom--snippet-btn--expand{align-items:center;background-color:var(--cds-layer);block-size:2rem;border:0;color:var(--cds-text-primary,#161616);display:inline-flex;font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:var(--cds-body-compact-01-font-weight,400);inset-block-end:0;inset-inline-end:0;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);padding:.5rem 1rem;position:absolute;z-index:10}.cds-custom--snippet-btn--expand .cds-custom--snippet-btn--text{inset-block-start:-.0625rem;position:relative}.cds-custom--snippet-btn--expand--hide.cds-custom--snippet-btn--expand{display:none}.cds-custom--snippet-btn--expand .cds-custom--icon-chevron--down{fill:var(--cds-icon-primary,#161616);margin-inline-start:.5rem;transform:rotate(0deg);transition:.15s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet-btn--expand:hover{background:var(--cds-layer-hover);color:var(--cds-text-primary,#161616)}.cds-custom--snippet-btn--expand:active{background-color:var(--cds-layer-active)}.cds-custom--snippet-btn--expand:focus{border-color:transparent;outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px}@media screen and (prefers-contrast){.cds-custom--snippet-btn--expand:focus{outline-style:dotted}}.cds-custom--snippet--expand .cds-custom--snippet-btn--expand .cds-custom--icon-chevron--down{transform:rotate(180deg);transition:transform .3s}.cds-custom--snippet--light,.cds-custom--snippet--light .cds-custom--btn.cds-custom--snippet-btn--expand,.cds-custom--snippet--light .cds-custom--copy-btn,.cds-custom--snippet--light .cds-custom--snippet-button{background-color:var(--cds-layer)}.cds-custom--snippet--light .cds-custom--btn.cds-custom--snippet-btn--expand:hover,.cds-custom--snippet--light .cds-custom--copy-btn:hover,.cds-custom--snippet--light .cds-custom--snippet-button:hover,.cds-custom--snippet--light.cds-custom--snippet--inline:hover{background-color:var(--cds-layer-hover)}.cds-custom--snippet--light .cds-custom--btn.cds-custom--snippet-btn--expand:active,.cds-custom--snippet--light .cds-custom--copy-btn:active,.cds-custom--snippet--light .cds-custom--snippet-button:active,.cds-custom--snippet--light.cds-custom--snippet--inline:active{background-color:var(--cds-layer-active)}.cds-custom--snippet--light.cds-custom--snippet--multi:after,.cds-custom--snippet--light.cds-custom--snippet--single:after{background-image:linear-gradient(to right,rgba(var(--cds-layer),0),var(--cds-layer))}.cds-custom--snippet.cds-custom--skeleton .cds-custom--snippet-container{block-size:100%;inline-size:100%}.cds-custom--snippet-button .cds-custom--btn--copy__feedback{inset-block-start:3.175rem;inset-inline:50% auto}.cds-custom--snippet-button .cds-custom--btn--copy__feedback:before{inset-block-start:0}.cds-custom--snippet-button .cds-custom--btn--copy__feedback:after{inset-block-start:-.25rem}.cds-custom--snippet--multi .cds-custom--snippet-button .cds-custom--btn--copy__feedback{inset-block-start:2.675rem}.cds-custom--snippet--inline .cds-custom--btn--copy__feedback{inset-block-start:calc(100% - .25rem);inset-inline:50% auto}.cds-custom--snippet__overflow-indicator--left,.cds-custom--snippet__overflow-indicator--right{flex:1 0 auto;inline-size:1rem;z-index:1}.cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to left,transparent,var(--cds-layer));margin-inline-end:-1rem;order:0}.cds-custom--snippet__overflow-indicator--right{margin-inline-start:-1rem;order:2}.cds-custom--snippet__overflow-indicator--right,[dir=rtl] .cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to right,transparent,var(--cds-layer))}[dir=rtl] .cds-custom--snippet__overflow-indicator--right{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds-custom--snippet--single .cds-custom--snippet__overflow-indicator--left,.cds-custom--snippet--single .cds-custom--snippet__overflow-indicator--right{block-size:calc(100% - .25rem);inline-size:2rem;position:absolute}.cds-custom--snippet--single .cds-custom--snippet__overflow-indicator--right{inset-inline-end:2.5rem}.cds-custom--snippet--single.cds-custom--snippet--no-copy .cds-custom--snippet__overflow-indicator--right{inset-inline-end:0}.cds-custom--snippet--single .cds-custom--snippet-container:focus~.cds-custom--snippet__overflow-indicator--right{inset-inline-end:2.625rem}.cds-custom--snippet--single .cds-custom--snippet-container:focus+.cds-custom--snippet__overflow-indicator--left{inset-inline-start:.125rem}.cds-custom--snippet--light .cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds-custom--snippet--light .cds-custom--snippet__overflow-indicator--right{background-image:linear-gradient(to right,transparent,var(--cds-layer))}@supports (hanging-punctuation:first) and (font:-apple-system-body) and (-webkit-appearance:none){.cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to left,rgba(var(--cds-layer),0),var(--cds-layer))}.cds-custom--snippet__overflow-indicator--right{background-image:linear-gradient(to right,rgba(var(--cds-layer),0),var(--cds-layer))}}.cds-custom--snippet--multi.cds-custom--skeleton{block-size:6.125rem}.cds-custom--snippet--single.cds-custom--skeleton{block-size:3.5rem}.cds-custom--snippet.cds-custom--skeleton span{background:var(--cds-skeleton-background,#e8e8e8);block-size:1rem;border:none;box-shadow:none;display:block;inline-size:100%;margin-block-start:.5rem;padding:0;pointer-events:none;position:relative}.cds-custom--snippet.cds-custom--skeleton span:active,.cds-custom--snippet.cds-custom--skeleton span:focus,.cds-custom--snippet.cds-custom--skeleton span:hover{border:none;cursor:default;outline:none}.cds-custom--snippet.cds-custom--skeleton span:before{animation:cds-custom--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds-custom--snippet.cds-custom--skeleton span:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds-custom--snippet.cds-custom--skeleton span{background:CanvasText}.cds-custom--snippet.cds-custom--skeleton span:before{background:Canvas;forced-color-adjust:none}}.cds-custom--snippet.cds-custom--skeleton span:first-child{margin:0}.cds-custom--snippet.cds-custom--skeleton span:nth-child(2){inline-size:85%}.cds-custom--snippet.cds-custom--skeleton span:nth-child(3){inline-size:95%}.cds-custom--snippet--single.cds-custom--skeleton .cds-custom--snippet-container{padding-block-end:0}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds-custom--snippet--inline:focus{color:Highlight;outline:1px solid Highlight}.cds-custom--snippet--multi,.cds-custom--snippet--single{outline:1px solid transparent}}:host(cds-custom-button),:host(cds-custom-modal-footer-button){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px;display:inline-flex}:host(cds-custom-button) .cds-custom--btn,:host(cds-custom-modal-footer-button) .cds-custom--btn{flex-grow:1;max-inline-size:100%}:host(cds-custom-button-skeleton){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px}:host(cds-custom-button[isExpressive]) ::slotted([slot=icon]),:host(cds-custom-modal-footer-button[isExpressive]) ::slotted([slot=icon]){block-size:1.25rem;inline-size:1.25rem}:host(cds-custom-button[pagination]) .cds-custom--btn,:host(cds-custom-modal-footer-button[pagination]) .cds-custom--btn{border:none;border-inline-start:1px solid var(--cds-border-subtle);padding:0;transition:none}:host(cds-custom-button[pagination]) .cds-custom--btn:focus,:host(cds-custom-modal-footer-button[pagination]) .cds-custom--btn:focus{border-inline-start:1px solid transparent;box-shadow:none;outline:.125rem solid var(--cds-focus,#0f62fe);outline-offset:-.125rem}:host(cds-custom-button[pagination]:not([disabled])) .cds-custom--btn,:host(cds-custom-modal-footer-button[pagination]:not([disabled])) .cds-custom--btn{color:var(--cds-icon-primary,#161616)}:host(cds-custom-button[pagination]:not([disabled])) .cds-custom--btn:active,:host(cds-custom-modal-footer-button[pagination]:not([disabled])) .cds-custom--btn:active{background-color:var(--cds-layer-hover)}:host(cds-custom-button[pagination][batch-action]:not([disabled])) .cds-custom--btn,:host(cds-custom-modal-footer-button[pagination][batch-action]:not([disabled])) .cds-custom--btn{padding:calc(.875rem - 3px) 1rem}:host(cds-custom-button[pagination][batch-action]:not([disabled])) .cds-custom--btn:focus,:host(cds-custom-modal-footer-button[pagination][batch-action]:not([disabled])) .cds-custom--btn:focus{outline:.125rem solid var(--cds-layer);outline-offset:-.125rem}:host(cds-custom-button[pagination][batch-action]:not([disabled])) :host(cds-custom-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]),:host(cds-custom-button[pagination][batch-action]:not([disabled])) :host(cds-custom-modal-footer-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]),:host(cds-custom-modal-footer-button[pagination][batch-action]:not([disabled])) :host(cds-custom-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]),:host(cds-custom-modal-footer-button[pagination][batch-action]:not([disabled])) :host(cds-custom-modal-footer-button[pagination][has-main-content]:not([disabled])) ::slotted([slot=icon]){margin-inline-start:.25rem;position:static}:host(cds-custom-button) .cds-custom--btn--icon-only{align-items:center;padding-block-start:0}:host(cds-custom-button) .cds-custom--btn--icon-only.cds-custom--btn--expressive,:host(cds-custom-button) .cds-custom--btn--icon-only.cds-custom--btn--selected{padding:.5rem}:host(cds-custom-button) .cds-custom--btn--ghost:not([disabled]) ::slotted([slot=icon]){fill:var(--cds-icon-primary,#161616)}:host(cds-custom-button[kind=ghost]) .cds-custom--btn--ghost:active,:host(cds-custom-button[kind=ghost]) .cds-custom--btn--ghost:hover{outline:none}:host(cds-custom-button[kind=ghost]) .cds-custom--btn--ghost:not(:focus){box-shadow:none}:host(cds-custom-button[kind=danger-ghost]) .cds-custom--btn--danger-ghost:not(:focus){box-shadow:none}:host(cds-custom-button-set) ::slotted(cds-custom-button),:host(cds-custom-side-panel-button-set) ::slotted(cds-custom-button){inline-size:100%;max-inline-size:12.25rem}:host(cds-custom-button[data-context=data-table]) .cds-custom--btn{padding-inline:1rem}:host(cds-custom-button):host(cds-custom-button[data-context=data-table]) ::slotted([slot=icon]),:host(cds-custom-button[data-context=data-table]) .cds-custom--btn__icon{position:static;fill:var(--cds-icon-on-color,#fff);margin-inline-start:.5rem}:host(cds-custom-button):host(cds-custom-button[data-context=data-table]) ::slotted([slot=icon]) .st0,:host(cds-custom-button[data-context=data-table]) .cds-custom--btn__icon .st0{fill:none}:host(cds-custom-button.cds-custom--batch-summary__cancel){--divider-opacity:1}:host(cds-custom-button.cds-custom--batch-summary__cancel) button.cds-custom--btn{align-items:center;block-size:100%;display:inline-flex;justify-content:center;margin:0;min-block-size:100%;padding-inline-end:1rem;padding-inline-start:1rem;position:relative}:host(cds-custom-button.cds-custom--batch-summary__cancel) button.cds-custom--btn:before{background-color:var(--cds-text-on-color,#fff);block-size:1rem;border:none;content:"";display:block;inline-size:.0625rem;inset-block-start:.9375rem;inset-inline-start:0;opacity:var(--divider-opacity);position:absolute;transition:opacity .11s cubic-bezier(.2,0,.38,.9)}@media (prefers-reduced-motion:reduce){:host(cds-custom-button.cds-custom--batch-summary__cancel) button.cds-custom--btn:before{transition:none}}:host(cds-custom-button.cds-custom--batch-summary__cancel) button.cds-custom--btn:hover:before{opacity:0}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=sm]) button.cds-custom--btn{block-size:2rem;min-block-size:auto;padding-block:.375rem}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=sm]) button.cds-custom--btn:before{inset-block-start:.5rem}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=lg]) button.cds-custom--btn{block-size:3rem;min-block-size:auto}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=lg]) button.cds-custom--btn:before{inset-block-start:.9375rem}:host(cds-custom-icon-button){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px}:host(cds-custom-icon-button[kind=ghost]) ::slotted([slot=icon]){color:var(--cds-icon-primary,#161616)}']);let ed=class extends 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cds-custom--hide-feedback{0%{opacity:1;visibility:inherit}to{opacity:0;visibility:hidden}}@keyframes cds-custom--show-feedback{0%{opacity:0;visibility:hidden}to{opacity:1;visibility:inherit}}@keyframes 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.cds-custom--btn.cds-custom--btn--disabled:first-of-type,:host(cds-custom-button-set) .cds-custom--btn.cds-custom--btn--disabled:first-of-type,:host(cds-custom-side-panel-button-set) .cds-custom--btn.cds-custom--btn--disabled:first-of-type{box-shadow:none}.cds-custom--btn-set--stacked .cds-custom--btn.cds-custom--btn--disabled,:host(cds-custom-button-set[stacked]) .cds-custom--btn.cds-custom--btn--disabled{box-shadow:0 -.0625rem 0 0 var(--cds-layer-selected-disabled,#8d8d8d)}.cds-custom--btn-set--stacked .cds-custom--btn.cds-custom--btn--disabled:first-of-type,:host(cds-custom-button-set[stacked]) .cds-custom--btn.cds-custom--btn--disabled:first-of-type{box-shadow:none}.cds-custom--btn-set .cds-custom--btn.cds-custom--btn--loading,:host(cds-custom-button-set) .cds-custom--btn.cds-custom--btn--loading,:host(cds-custom-side-panel-button-set) .cds-custom--btn.cds-custom--btn--loading{background-color:transparent;border-color:transparent;box-shadow:none}.cds-custom--btn--sm .cds-custom--badge-indicator{margin-block-start:.25rem;margin-inline-end:.25rem}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds-custom--btn:focus{color:Highlight;outline:1px solid Highlight}}[dir=rtl] .cds-custom--btn-set .cds-custom--btn:not(:focus),[dir=rtl] :host(cds-custom-button-set) .cds-custom--btn:not(:focus),[dir=rtl] :host(cds-custom-side-panel-button-set) .cds-custom--btn:not(:focus){box-shadow:.0625rem 0 0 0 var(--cds-button-separator,#e0e0e0)}.cds-custom--copy-btn{position:relative}.cds-custom--copy-btn:hover{background-color:var(--cds-layer-hover)}.cds-custom--copy-btn:active{background-color:var(--cds-layer-active)}.cds-custom--copy-btn:before{block-size:0;border-style:solid;content:"";display:none;inline-size:0;position:absolute;z-index:6000}.cds-custom--copy-btn .cds-custom--copy-btn__feedback{background-color:var(--cds-background-inverse,#393939);block-size:auto;border-radius:.125rem;box-shadow:0 2px 6px 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svg{fill:var(--cds-icon-primary,#161616)}.cds-custom--copy{font-size:0}.cds-custom--chat-btn{border-radius:1.5rem}.cds-custom--chat-btn:not(.cds-custom--chat-btn--with-icon){padding-inline-end:.9375rem}.cds-custom--chat-btn.cds-custom--btn--md{border-radius:1.25rem}.cds-custom--chat-btn.cds-custom--btn--sm{border-radius:1rem}.cds-custom--chat-btn--quick-action{align-items:center;background:transparent;border:1px solid var(--cds-chat-button,#0f62fe);color:var(--cds-chat-button,#0f62fe)}.cds-custom--chat-btn--quick-action:hover:not(:active):not([disabled]){background:var(--cds-chat-button-hover,hsla(0,0%,55%,.12));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}.cds-custom--chat-btn--quick-action:active{background:var(--cds-chat-button-active,hsla(0,0%,55%,.5));border-color:transparent;color:var(--cds-chat-button-text-hover,#0043ce)}.cds-custom--chat-btn--quick-action.cds-custom--btn--ghost:focus{border-color:var(--cds-focus,#0f62fe);box-shadow:inset 0 0 0 1px 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.cds-custom--snippet__icon{fill:var(--cds-icon-disabled,hsla(0,0%,9%,.25))}.cds-custom--snippet code{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333)}.cds-custom--snippet--inline{background-color:var(--cds-layer);border:1px solid transparent;border-radius:4px;color:var(--cds-text-primary,#161616);cursor:pointer;display:inline;padding:0;position:relative}.cds-custom--snippet--inline html{font-size:100%}.cds-custom--snippet--inline body{font-family:IBM Plex Sans,system-ui,-apple-system,BlinkMacSystemFont,\\.SFNSText-Regular,sans-serif;font-weight:400;-moz-osx-font-smoothing:grayscale;-webkit-font-smoothing:antialiased;text-rendering:optimizeLegibility}.cds-custom--snippet--inline code{font-family:IBM Plex 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var(--cds-shadow,rgba(0,0,0,.3));box-sizing:content-box;color:var(--cds-text-inverse,#fff);display:none;font-size:var(--cds-body-compact-01-font-size,.875rem);font-weight:400;font-weight:var(--cds-body-compact-01-font-weight,400);inline-size:-moz-max-content;inline-size:max-content;letter-spacing:var(--cds-body-compact-01-letter-spacing,.16px);line-height:var(--cds-body-compact-01-line-height,1.28572);margin:auto;max-inline-size:13rem;min-inline-size:1.5rem;overflow:visible;padding:.1875rem 1rem;text-align:start;transform:translateX(-50%);z-index:6000;clip:auto}@media (-ms-high-contrast:active),(-ms-high-contrast:none){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{inline-size:auto}}@supports (-ms-accelerator:true){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{inline-size:auto}}@supports (-ms-ime-align:auto){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{inline-size:auto}}@media screen and (-ms-high-contrast:active),screen and (prefers-contrast){.cds-custom--snippet--inline .cds-custom--copy-btn__feedback{border:1px solid transparent}}.cds-custom--snippet--inline.cds-custom--copy-btn--animating .cds-custom--copy-btn__feedback,.cds-custom--snippet--inline.cds-custom--copy-btn--animating:before{display:block}.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-out .cds-custom--copy-btn__feedback,.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-out:before{animation:cds-custom--hide-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-in .cds-custom--copy-btn__feedback,.cds-custom--snippet--inline.cds-custom--copy-btn--animating.cds-custom--copy-btn--fade-in:before{animation:cds-custom--show-feedback .11s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--inline code{padding:0 .5rem}.cds-custom--snippet--inline.cds-custom--snippet--no-copy{display:inline-block}.cds-custom--snippet--inline.cds-custom--snippet--no-copy:hover{background-color:var(--cds-layer);cursor:auto}.cds-custom--snippet--light.cds-custom--snippet--inline.cds-custom--snippet--no-copy:hover{background-color:var(--cds-layer-hover);cursor:auto}.cds-custom--snippet--single{align-items:center;background-color:var(--cds-layer);block-size:2.5rem;display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex 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pre{font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);padding-inline-end:.5rem}.cds-custom--snippet--inline code,.cds-custom--snippet--single pre{white-space:pre}.cds-custom--snippet--multi{background-color:var(--cds-layer);display:flex;font-family:var(--cds-code-01-font-family,"IBM Plex Mono",system-ui,-apple-system,BlinkMacSystemFont,".SFNSText-Regular",monospace);font-size:var(--cds-code-01-font-size,.75rem);font-weight:var(--cds-code-01-font-weight,400);inline-size:100%;letter-spacing:var(--cds-code-01-letter-spacing,.32px);line-height:var(--cds-code-01-line-height,1.33333);max-inline-size:48rem;padding:1rem;position:relative}.cds-custom--snippet--multi .cds-custom--snippet-container{max-block-size:100%;min-block-size:100%;order:1;overflow-y:auto;position:relative;transition:max-height .15s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--multi .cds-custom--snippet-container:focus{outline:2px solid var(--cds-focus,#0f62fe);outline-offset:-2px;outline-offset:0}@media screen and (prefers-contrast){.cds-custom--snippet--multi .cds-custom--snippet-container:focus{outline-style:dotted}}.cds-custom--snippet--multi.cds-custom--snippet--expand .cds-custom--snippet-container{padding-block-end:1rem;transition:max-height .15s cubic-bezier(.2,0,.38,.9)}.cds-custom--snippet--multi.cds-custom--snippet--wraptext pre{white-space:pre-wrap;word-wrap:break-word}.cds-custom--snippet--multi .cds-custom--snippet-container pre{padding-inline-end:2.5rem}.cds-custom--snippet--multi.cds-custom--snippet--no-copy .cds-custom--snippet-container pre{padding-inline-end:0}.cds-custom--snippet--multi.cds-custom--snippet--has-right-overflow:after{background-image:linear-gradient(to right,transparent,var(--cds-layer));block-size:100%;content:"";inline-size:1rem;inset-block-start:0;inset-inline-end:1rem;position:absolute}[dir=rtl] .cds-custom--snippet--multi.cds-custom--snippet--has-right-overflow:after{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds-custom--snippet--multi .cds-custom--snippet-container pre code{overflow:hidden}.cds-custom--snippet__icon{block-size:1rem;fill:var(--cds-icon-primary,#161616);inline-size:1rem;transition:all 70ms cubic-bezier(.2,0,.38,.9)}.cds-custom--btn>.cds-custom--snippet__icon{margin-block-start:0}.cds-custom--copy-btn{align-items:center;background-color:var(--cds-layer);border:none;cursor:pointer;display:flex;justify-content:center;outline:none;overflow:visible;padding:0}.cds-custom--copy-btn html{font-size:100%}.cds-custom--copy-btn body{font-family:IBM Plex 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.cds-custom--btn--copy__feedback:after{inset-block-start:-.25rem}.cds-custom--snippet--multi .cds-custom--snippet-button .cds-custom--btn--copy__feedback{inset-block-start:2.675rem}.cds-custom--snippet--inline .cds-custom--btn--copy__feedback{inset-block-start:calc(100% - .25rem);inset-inline:50% auto}.cds-custom--snippet__overflow-indicator--left,.cds-custom--snippet__overflow-indicator--right{flex:1 0 auto;inline-size:1rem;z-index:1}.cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to left,transparent,var(--cds-layer));margin-inline-end:-1rem;order:0}.cds-custom--snippet__overflow-indicator--right{margin-inline-start:-1rem;order:2}.cds-custom--snippet__overflow-indicator--right,[dir=rtl] .cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to right,transparent,var(--cds-layer))}[dir=rtl] .cds-custom--snippet__overflow-indicator--right{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds-custom--snippet--single .cds-custom--snippet__overflow-indicator--left,.cds-custom--snippet--single .cds-custom--snippet__overflow-indicator--right{block-size:calc(100% - .25rem);inline-size:2rem;position:absolute}.cds-custom--snippet--single .cds-custom--snippet__overflow-indicator--right{inset-inline-end:2.5rem}.cds-custom--snippet--single.cds-custom--snippet--no-copy .cds-custom--snippet__overflow-indicator--right{inset-inline-end:0}.cds-custom--snippet--single .cds-custom--snippet-container:focus~.cds-custom--snippet__overflow-indicator--right{inset-inline-end:2.625rem}.cds-custom--snippet--single .cds-custom--snippet-container:focus+.cds-custom--snippet__overflow-indicator--left{inset-inline-start:.125rem}.cds-custom--snippet--light .cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to left,transparent,var(--cds-layer))}.cds-custom--snippet--light .cds-custom--snippet__overflow-indicator--right{background-image:linear-gradient(to right,transparent,var(--cds-layer))}@supports (hanging-punctuation:first) and (font:-apple-system-body) and (-webkit-appearance:none){.cds-custom--snippet__overflow-indicator--left{background-image:linear-gradient(to left,rgba(var(--cds-layer),0),var(--cds-layer))}.cds-custom--snippet__overflow-indicator--right{background-image:linear-gradient(to right,rgba(var(--cds-layer),0),var(--cds-layer))}}.cds-custom--snippet--multi.cds-custom--skeleton{block-size:6.125rem}.cds-custom--snippet--single.cds-custom--skeleton{block-size:3.5rem}.cds-custom--snippet.cds-custom--skeleton span{background:var(--cds-skeleton-background,#e8e8e8);block-size:1rem;border:none;box-shadow:none;display:block;inline-size:100%;margin-block-start:.5rem;padding:0;pointer-events:none;position:relative}.cds-custom--snippet.cds-custom--skeleton span:active,.cds-custom--snippet.cds-custom--skeleton span:focus,.cds-custom--snippet.cds-custom--skeleton span:hover{border:none;cursor:default;outline:none}.cds-custom--snippet.cds-custom--skeleton span:before{animation:cds-custom--skeleton 3s ease-in-out infinite;background:var(--cds-skeleton-element,#c6c6c6);block-size:100%;content:"";inline-size:100%;inset-inline-start:0;position:absolute;will-change:transform-origin,transform,opacity}@media (prefers-reduced-motion:reduce){.cds-custom--snippet.cds-custom--skeleton span:before{animation:none}}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds-custom--snippet.cds-custom--skeleton span{background:CanvasText}.cds-custom--snippet.cds-custom--skeleton span:before{background:Canvas;forced-color-adjust:none}}.cds-custom--snippet.cds-custom--skeleton span:first-child{margin:0}.cds-custom--snippet.cds-custom--skeleton span:nth-child(2){inline-size:85%}.cds-custom--snippet.cds-custom--skeleton span:nth-child(3){inline-size:95%}.cds-custom--snippet--single.cds-custom--skeleton .cds-custom--snippet-container{padding-block-end:0}@media (forced-colors:active),screen and (-ms-high-contrast:active){.cds-custom--snippet--inline:focus{color:Highlight;outline:1px solid Highlight}.cds-custom--snippet--multi,.cds-custom--snippet--single{outline:1px solid transparent}}:host(cds-custom-button),:host(cds-custom-modal-footer-button){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px;display:inline-flex}:host(cds-custom-button) .cds-custom--btn,:host(cds-custom-modal-footer-button) .cds-custom--btn{flex-grow:1;max-inline-size:100%}:host(cds-custom-button-skeleton){--cds-layout-size-height-xs:1.5rem;--cds-layout-size-height-sm:2rem;--cds-layout-size-height-md:2.5rem;--cds-layout-size-height-lg:3rem;--cds-layout-size-height-xl:4rem;--cds-layout-size-height-2xl:5rem;--cds-layout-size-height-min:0px;--cds-layout-size-height-max:999999999px;--cds-layout-density-padding-inline-condensed:0.5rem;--cds-layout-density-padding-inline-normal:1rem;--cds-layout-density-padding-inline-min:0px;--cds-layout-density-padding-inline-max:999999999px}:host(cds-custom-button[isExpressive]) ::slotted([slot=icon]),:host(cds-custom-modal-footer-button[isExpressive]) ::slotted([slot=icon]){block-size:1.25rem;inline-size:1.25rem}:host(cds-custom-button[pagination]) .cds-custom--btn,:host(cds-custom-modal-footer-button[pagination]) .cds-custom--btn{border:none;border-inline-start:1px solid var(--cds-border-subtle);padding:0;transition:none}:host(cds-custom-button[pagination]) .cds-custom--btn:focus,:host(cds-custom-modal-footer-button[pagination]) .cds-custom--btn:focus{border-inline-start:1px solid transparent;box-shadow:none;outline:.125rem solid var(--cds-focus,#0f62fe);outline-offset:-.125rem}:host(cds-custom-button[pagination]:not([disabled])) .cds-custom--btn,:host(cds-custom-modal-footer-button[pagination]:not([disabled])) .cds-custom--btn{color:var(--cds-icon-primary,#161616)}:host(cds-custom-button[pagination]:not([disabled])) .cds-custom--btn:active,:host(cds-custom-modal-footer-button[pagination]:not([disabled])) .cds-custom--btn:active{background-color:var(--cds-layer-hover)}:host(cds-custom-button[pagination][batch-action]:not([disabled])) .cds-custom--btn,:host(cds-custom-modal-footer-button[pagination][batch-action]:not([disabled])) .cds-custom--btn{padding:calc(.875rem - 3px) 1rem}:host(cds-custom-button[pagination][batch-action]:not([disabled])) 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button.cds-custom--btn:before{background-color:var(--cds-text-on-color,#fff);block-size:1rem;border:none;content:"";display:block;inline-size:.0625rem;inset-block-start:.9375rem;inset-inline-start:0;opacity:var(--divider-opacity);position:absolute;transition:opacity .11s cubic-bezier(.2,0,.38,.9)}@media (prefers-reduced-motion:reduce){:host(cds-custom-button.cds-custom--batch-summary__cancel) button.cds-custom--btn:before{transition:none}}:host(cds-custom-button.cds-custom--batch-summary__cancel) button.cds-custom--btn:hover:before{opacity:0}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=sm]) button.cds-custom--btn{block-size:2rem;min-block-size:auto;padding-block:.375rem}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=sm]) button.cds-custom--btn:before{inset-block-start:.5rem}:host(cds-custom-button.cds-custom--batch-summary__cancel[size=lg]) 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ent={white:{blue20:["$highlight"],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$icon-interactive","$focus"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$button-tertiary-active"]},g10:{blue20:["$highlight"],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$icon-interactive","$focus"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$button-tertiary-active"]},g90:{blue20:[],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$focus-inverse"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$highlight","$button-tertiary-active"]},g100:{blue20:[],blue60:["$background-brand","$interactive","$border-interactive","$button-primary","$button-tertiary","$focus-inverse"],blue60Hover:["$button-primary-hover","$button-tertiary-hover"],blue80:["$button-primary-active","$highlight","$button-tertiary-active"]}};function Ly(t,o,e){o.forEach(s=>{t[s]=e})}function nO(t,o,e,s){e=e||Ys.G10,t=t||{};const n={...snt(e,s),...t};Object.entries(n).forEach(([a,d])=>{a.startsWith("$")&&!d.match(Zct)&&(console.warn(`${um} You tried to call "updateCSSVariables" with an invalid value for "${a}": "${t[a]}". You must use hexadecimal values for colors.`),delete n[a])});const r=ont(o||{},e);return Object.entries(r).forEach(([a,d])=>{d!==""&&t[a]===void 0&&(n[a]=d)}),n}function snt(t,o){let e={};return o!==Bs.CARBON_AI&&([Ys.G10,Ys.WHITE].includes(t)?e={...e,...Jct}:[Ys.G90,Ys.G100].includes(t)&&(e={...e,...Qct})),e}function cnt(t){let o;switch(t==null?void 0:t.carbonTheme){case Ys.WHITE:o=$p.WHITE;break;case Ys.G10:o=$p.G10;break;case Ys.G90:o=$p.G90;break;case Ys.G100:o=$p.G100;break;default:o=$p.G10;break}return(t==null?void 0:t.theme)===Bs.CARBON_AI&&(o+=" WAC--aiTheme"),o}function nnt(t,o){const{viewState:e}=o.persistedToBrowserStorage.launcherState;let s;return typeof t=="string"?s={...jb,[t]:!0}:s={...e,...t},s}const rnt=new Set(Object.values(dx)),ant=`[updateCSSVariables] The AI theme is enabled and only ${Object.values(dx).join(", ")} can be updated.`;class int{constructor(o){this.hydrating=!1,this.restarting=!1,this.alreadyHydrated=!1,this.chunkQueue=[],this.serviceManager=o}async hydrateChat(o,e,s){let c=!1;try{this.hydrationPromise||(this.hydrating=!0,this.hydrationPromise=this.doHydrateChat(o,e,s),c=!0),await this.hydrationPromise}finally{this.hydrating=!1}c&&await this.serviceManager.fire({type:Pe.CHAT_READY})}async doHydrateChat(o,e,s){var d,l,v,y;Le("Hydrating Carbon AI Chat",o,e,s);let c;const{serviceManager:n}=this;n.store.dispatch(ao.addIsHydratingCounter(1)),this.alreadyHydrated||(c=await this.serviceManager.historyService.loadHistory(),n.humanAgentService?(Le("Initializing the human agent service"),await n.humanAgentService.initialize()):Le("No service desk integrations present"));const{config:r}=n.store.getState();c?(n.store.dispatch(ao.hydrateMessageHistory(c.messageHistory)),await this.createElementsForUserDefinedResponses(c.messageHistory),c.latestPanelLocalMessageItem&&this.openResponsePanel(c.latestPanelLocalMessageItem,!0)):o||((d=n.store.getState().homeScreenConfig)!=null&&d.is_on?n.store.dispatch(ao.setHomeScreenIsOpen(!0)):(l=r.public.messaging)!=null&&l.skipWelcome||await n.actions.send(Sct(),Ka.WELCOME_REQUEST,{},!0)),n.store.dispatch(ao.chatWasHydrated()),n.store.dispatch(ao.addIsHydratingCounter(-1));const a=r.public.serviceDesk.allowReconnect??!0;(y=(v=this.serviceManager)==null?void 0:v.humanAgentService)==null||y.handleHydration(a,!!c),this.alreadyHydrated=!0}getPublicWebChatState(){const o=this.serviceManager.store.getState(),{persistedToBrowserStorage:e}=o,{chatState:s,launcherState:c}=e;return{isConnectedWithHumanAgent:s.humanAgentState.isConnected,isWebChatOpen:c.viewState.mainWindow,isConnectingWithHumanAgent:o.humanAgentState.isConnecting,isHomeScreenOpen:s.homeScreenState.isHomeScreenOpen,isDebugEnabled:kN(),hasUserSentMessage:s.hasSentNonWelcomeMessage,viewState:{...c.viewState},serviceDesk:{isConnected:s.humanAgentState.isConnected,isConnecting:o.humanAgentState.isConnecting,isSuspended:s.humanAgentState.isSuspended??!1},locale:this.serviceManager.store.getState().locale,intl:this.serviceManager.intl}}async sendWithCatch(o,e,s={},c=!1){try{await this.send(o,e,s,c)}catch(n){ue("An error occurred sending the message",n)}}async send(o,e,s={},c=!1){const n=typeof o=="string"?p_(o):o;this.serviceManager.store.getState().persistedToBrowserStorage.chatState.homeScreenState.isHomeScreenOpen&&this.serviceManager.store.dispatch(ao.setHomeScreenIsOpen(!1)),this.serviceManager.store.getState().responsePanelState.isOpen&&this.serviceManager.store.dispatch(ao.setResponsePanelIsOpen(!1)),this.hydrationPromise||c?(c||await this.hydrationPromise,await this.doSend(n,e,s)):(this.serviceManager.store.dispatch(ao.setHomeScreenIsOpen(!1)),await this.hydrateChat(n,e,s),await this.doSend(n,e,s))}async doSend(o,e,s={}){var a;const{store:c}=this.serviceManager;em(o);const n=((a=o.history)==null?void 0:a.label)||o.input.text;s.silent&&(o.history.silent=!0);const r=wb(o,n);o.history.silent?c.dispatch(ao.addMessage(o)):c.dispatch(ao.addLocalMessageItem(r,o,!0)),s.setValueSelectedForMessageID&&c.dispatch(ao.messageSetOptionSelected(s.setValueSelectedForMessageID,o)),qs(o),await this.serviceManager.messageService.send(ba(o),e,r.ui_state.id,s)}async receive(o,e=!1,s,c){const{restartCount:n}=this.serviceManager;o.id||(o.id=ln(vr.MESSAGE));const r={type:Pe.PRE_RECEIVE,data:o};if(await this.serviceManager.fire(r),n!==this.serviceManager.restartCount||(e||this.serviceManager.store.dispatch(ao.updateHasSentNonWelcomeMessage(!0)),n!==this.serviceManager.restartCount))return;const{languagePack:a}=this.serviceManager.store.getState();if(bn(o))this.processMessageResponse(o,e,s,c).catch(d=>{ue("Error processing the message response",d)});else{const d=IN(a.errors_singleMessage,o.thread_id,Eo.INLINE_ERROR);this.receive(d,!1)}qs(o),await this.serviceManager.fire({type:Pe.RECEIVE,data:o})}async removeMessages(o){this.serviceManager.store.dispatch(ao.removeMessages(o))}async insertHistory(o){var d,l;const e=(d=this.serviceManager.mainWindow)==null?void 0:d.getMessagesScrollBottom(),s=this.serviceManager.store.getState(),c={notes:[{body:o}]},n=await this.serviceManager.historyService.loadHistory(c);if(!n)return;const r={allMessageItemsByID:s.allMessageItemsByID,allMessagesByID:s.allMessagesByID,botMessageState:s.botMessageState},a=Wi({},n.messageHistory,r);a.botMessageState.messageIDs=[...n.messageHistory.botMessageState.messageIDs,...r.botMessageState.messageIDs],a.botMessageState.localMessageIDs=[...n.messageHistory.botMessageState.localMessageIDs,...r.botMessageState.localMessageIDs],this.serviceManager.store.dispatch(ao.hydrateMessageHistory(a)),await this.createElementsForUserDefinedResponses(n.messageHistory),(l=this.serviceManager.mainWindow)==null||l.doAutoScroll({scrollToBottom:e})}async receiveChunk(o,e,s={}){const c=h_();return this.chunkQueue.push({chunk:o,messageID:e,options:s,chunkPromise:c}),this.chunkQueue.length===1&&this.processChunkQueue(),c}async processChunkQueue(){var r,a;const{chunk:o,options:e,chunkPromise:s}=this.chunkQueue[0];let{messageID:c}=this.chunkQueue[0];const{store:n}=this.serviceManager;try{const d=Nct(o),l=Dct(o),v=n.getState().botInputState.stopStreamingButtonState.isVisible;if(l){const y=o.partial_item.streaming_metadata;y!=null&&y.cancellable&&!v&&n.dispatch(ao.setStopStreamingButtonVisible(!0))}if(d||l){c||(c=(r=o.streaming_metadata)==null?void 0:r.response_id),c&&!n.getState().allMessagesByID[c]&&n.dispatch(ao.streamingStart(c));const y=o.partial_item||o.complete_item;c&&y&&n.dispatch(ao.streamingAddChunk(c,y,d,e.disableFadeAnimation??!0)),(a=o.partial_response)!=null&&a.message_options&&c&&n.dispatch(ao.streamingMergeMessageOptions(c,o.partial_response.message_options)),c&&y&&await this.handleUserDefinedResponseItemsChunk(c,o,y)}else R4(o)&&this.receive(o.final_response,e.isLatestWelcomeNode,null,{disableFadeAnimation:!0});(d||R4(o))&&n.getState().botInputState.stopStreamingButtonState.isVisible&&(n.dispatch(ao.setStopStreamingButtonDisabled(!1)),n.dispatch(ao.setStopStreamingButtonVisible(!1))),this.chunkQueue.shift(),s.doResolve(),this.chunkQueue[0]&&this.processChunkQueue()}catch(d){ue("Error processing stream chunk",d),this.chunkQueue.shift(),s.doReject(d),this.chunkQueue[0]&&this.processChunkQueue()}}getOrCreateUserDefinedElement(o){let e=this.serviceManager.userDefinedElementRegistry.get(o);return e||(e={element:document.createElement("div"),slotName:`slot-user-defined-${ln()}`},e.element.setAttribute("slot",e.slotName),this.serviceManager.userDefinedElementRegistry.set(o,e)),e}async handleUserDefinedResponseItems(o,e){var s;if(bx(o.item)){let c,n;(s=o.item.user_defined)!=null&&s.silent||({element:c,slotName:n}=this.getOrCreateUserDefinedElement(o.ui_state.id));const r={type:Pe.USER_DEFINED_RESPONSE,data:{message:o.item,fullMessage:e,element:c,slot:n}};await this.serviceManager.fire(r)}else if(dS(o.item)){const{itemsLocalMessageItemIDs:c,bodyLocalMessageItemIDs:n,footerLocalMessageItemIDs:r,gridLocalMessageItemIDs:a}=o.ui_state,{allMessageItemsByID:d}=this.serviceManager.store.getState(),l=v=>{const y=d[v];return this.handleUserDefinedResponseItems(y,e)};a!=null&&a.length&&await Fi(a,v=>Fi(v,y=>Fi(y,C=>l(C)))),c!=null&&c.length&&await Fi(c,l),n!=null&&n.length&&await Fi(n,l),r!=null&&r.length&&await Fi(r,l)}}async handleUserDefinedResponseItemsChunk(o,e,s){var c;if(bx(s)){const n=yx(o,s);let r,a;(c=s.user_defined)!=null&&c.silent||({element:r,slotName:a}=this.getOrCreateUserDefinedElement(n));const d={type:Pe.CHUNK_USER_DEFINED_RESPONSE,data:{messageItem:s,chunk:e,element:r,slot:a}};await this.serviceManager.fire(d)}}async processMessageResponse(o,e,s,c={}){var v,y,C;const{store:n}=this.serviceManager,{config:r}=n.getState(),a=this.serviceManager.restartCount,d=o.output.generic;o.request_id=s==null?void 0:s.id,em(o),n.dispatch(ao.addMessage(o));let l=null;for(let k=0;k{rnt.has(l)?o[l]=d[l]:om(ant)})}else o={...o},e={...e};const a=nO(o,e,n,r);s.dispatch(ao.updateCSSVariables(a,o,e))}updateBotName(o){this.serviceManager.store.dispatch(ao.updateBotName(o))}updateMainHeaderTitle(o){this.serviceManager.store.dispatch(ao.updateMainHeaderTitle(o))}updateBotAvatarURL(o){this.serviceManager.store.dispatch(ao.updateBotAvatarURL(o))}updateHomeScreenConfig(o){this.serviceManager.store.dispatch(ao.updateHomeScreenConfig(o))}updateLauncherConfig(o){this.serviceManager.store.dispatch(ao.updateLauncherConfig(o))}async changeView(o,e,s=!0,c=!1){const{store:n}=this.serviceManager,{viewState:r}=n.getState().persistedToBrowserStorage.launcherState;let a=nnt(o,n.getState());return(!Px(a,r)||c)&&(await this.fireViewChangeEventsAndChangeView(a,e),a=n.getState().persistedToBrowserStorage.launcherState.viewState,s&&a.mainWindow&&!n.getState().isHydrated&&this.hydrateChat().catch(d=>{ue("Error hydrating the chat",d)})),a}async fireViewChangeEventsAndChangeView(o,e){const{store:s}=this.serviceManager;if(s.getState().viewChanging)throw new Error("The view may not be changed while a view change event is already running. Please make sure to resolve any promises from these events.");s.dispatch(ao.setViewChanging(!0));const{viewState:c}=s.getState().persistedToBrowserStorage.launcherState,{viewChangeReason:n}=e,r=qs(c);try{const a={type:Pe.VIEW_PRE_CHANGE,reason:n,oldViewState:r,newViewState:o,cancelViewChange:!1};if(await this.serviceManager.fire(a),a.cancelViewChange){Le("The view changing was cancelled by a view:pre:change event.");return}o=a.newViewState,s.dispatch(ao.setViewState(qs(o)));const d={type:Pe.VIEW_CHANGE,reason:n,oldViewState:r,newViewState:o,cancelViewChange:!1};if(await this.serviceManager.fire(d),d.cancelViewChange){s.dispatch(ao.setViewState(r)),Le("The view changing was cancelled by a view:change event.");return}o=d.newViewState,s.dispatch(ao.setViewState(qs(o)))}finally{s.dispatch(ao.setViewChanging(!1))}}errorOccurred(o){ue("An error has occurred",o),o.catastrophicErrorType&&this.serviceManager.store.dispatch(ao.setAppStateValue("catastrophicErrorType",o.catastrophicErrorType)),rct(this.serviceManager.additionalChatParameters.onError,o)}async restartConversation(o={}){const{skipHydration:e=!1,endHumanAgentConversation:s=!0,fireEvents:c=!0}=o;if(Le("Restarting conversation"),this.restarting){om("You cannot restart a conversation while a previous restart is still pending.");return}this.restarting=!0;try{const{serviceManager:n}=this,{store:r}=n;c&&await n.fire({type:Pe.PRE_RESTART_CONVERSATION}),n.restartCount++,this.hydrating&&await this.hydrationPromise;const a=r.getState(),{isConnecting:d}=a.humanAgentState,{isConnected:l}=a.persistedToBrowserStorage.chatState.humanAgentState;(l||d)&&s&&await n.humanAgentService.endChat(!0,!1,!1),this.serviceManager.instance.updateInputFieldVisibility(!0),this.serviceManager.messageService.cancelAllMessageRequests(),r.dispatch(ao.restartConversation()),e||(this.hydrationPromise=null),c&&await n.fire({type:Pe.RESTART_CONVERSATION}),this.hydrating&&await this.hydrationPromise,!e&&!n.store.getState().isHydrated?(this.hydrationPromise=null,r.getState().persistedToBrowserStorage.launcherState.viewState.mainWindow&&await n.actions.hydrateChat()):r.dispatch(ao.chatWasHydrated())}finally{this.restarting=!1}}async destroySession(o){const{store:e}=this.serviceManager,{persistedToBrowserStorage:s}=e.getState(),c=s.launcherState.viewState,n=ba(qf);o?n.launcherState.viewState=c:n.launcherState.viewState=hS,this.serviceManager.messageService.cancelAllMessageRequests(),this.serviceManager.userSessionStorageService.clearLauncherSession(),this.serviceManager.userSessionStorageService.clearChatSession(),this.serviceManager.store.dispatch(ao.setAppStateValue("persistedToBrowserStorage",n))}agentEndConversation(o){return this.serviceManager.humanAgentService.endChat(o)}agentUpdateIsSuspended(o){this.serviceManager.store.dispatch(jct(o))}async createElementsForUserDefinedResponses(o){await Fi(Object.values(o.allMessageItemsByID),e=>{const s=o.allMessagesByID[e.fullMessageID];return this.handleUserDefinedResponseItems(e,s)})}}const L4="The event handler is not a function.";class dnt{constructor(){this.handlersByType=new Map,this.eventsTypesRunning=new Set,this.eventsRunningCount=0}async fire(o,e){Py("Before fire",o);const{type:s}=o;if(!s)throw new Error(`Attempted to fire an event with no type! ${JSON.stringify(o)}`);function c(n){const r=n(o,e);return r&&!(r instanceof Promise)&&om(`An event handler for event ${s} returned a non-promise. This might be a mistake.`,r),r}if(this.eventsTypesRunning.has(s))throw new Error(`An event of type ${s} is already running. Please make sure that you have resolved the Promises for any earlier events that were fired.`);try{this.eventsRunningCount++;try{this.eventsTypesRunning.add(s);const n=this.handlersByType.get(s);if(n&&n.length){const r=n.slice();await Fi(r,c)}}finally{this.eventsTypesRunning.delete(s)}}finally{this.eventsRunningCount--,this.waitForEmptyPromise&&this.eventsRunningCount===0&&this.waitForEmptyPromise.doResolve()}Py("After fire",o)}fireSync(o,e){Py("Before fire",o);const{type:s}=o,c=this.handlersByType.get(s);c&&c.length&&c.slice().forEach(r=>r(o,e)),Py("After fire",o)}async waitForEmpty(){this.eventsRunningCount!==0&&(this.waitForEmptyPromise||(this.waitForEmptyPromise=h_()),await this.waitForEmptyPromise,this.waitForEmptyPromise=null)}on(o){return Tk(o).forEach(({type:s,handler:c})=>{if(!s)throw new Error(`Attempted to listen to an event with no type: "${s}"!`);typeof c=="function"?(this.handlersByType.has(s)||this.handlersByType.set(s,[]),this.handlersByType.get(s).push(c)):ue(L4,c)}),this}off(o){return Tk(o).forEach(({type:s,handler:c})=>{const n=this.handlersByType.get(s);if(n)if(c){const r=n.indexOf(c);r!==-1&&n.splice(r,1)}else this.handlersByType.set(s,[])}),this}once(o){return Tk(o).forEach(({type:s,handler:c})=>{if(typeof c=="function"){const n=(r,a)=>(this.off({type:s,handler:n}),c(r,a));this.on({type:s,handler:n})}else ue(L4,c)}),this}logListeners(){this.handlersByType.forEach((o,e)=>{console.group(`Event ${e} (${o.length})`),o.forEach(s=>{Wf("Listener",s)}),console.groupEnd()})}clear(){return this.handlersByType.clear(),this}}function Py(t,o){if(kN()){const e=ba(o);Le(`[EventBus] ${t}`,e)}}function unt(t){return Object.freeze({open(e=m_){const{store:s}=t;s.dispatch(ao.setCustomPanelConfigOptions(e)),s.dispatch(ao.setCustomPanelOpen(!0))},close(){t.store.dispatch(ao.setCustomPanelOpen(!1))}})}function lnt(t){const o={[aC]:unt(t)};return Object.freeze({getPanel(){return o[aC]}})}async function pnt(t,o){const e={},s={},c={serviceManager:o,allMessages:[],allMessagesByID:s,allLocalMessagesByID:e,threadMessagesByThreadID:{},responsesByRequestID:{},relatedMessageByID:{},localMessagesByOriginalMessageID:{},lastThreadID:null,loadedHistory:{messageHistory:{allMessageItemsByID:e,allMessagesByID:s,botMessageState:null},latestTransferToHumanAgentResponse:null,latestPanelLocalMessageItem:null}};return await mnt(t,c),c.allMessages.length?(vnt(c),bnt(c),xnt(c),_nt(c),c.loadedHistory):null}async function mnt(t,o){var l;const{allMessages:e,allMessagesByID:s,responsesByRequestID:c,relatedMessageByID:n,serviceManager:r,localMessagesByOriginalMessageID:a}=o;if(!(t!=null&&t.length))return;t.forEach(v=>{const y=v.body,C=k=>{const{message:x}=k;!wct(x)&&(Zr(x)||bn(x))&&hnt(x,o,k)};y.forEach(C)});for(let v=e.length-1;v>=0;v--){const y=e[v];((l=y.history)==null?void 0:l.file_upload_status)===qr.UPLOADING&&(y.history.file_upload_status=qr.COMPLETE,y.history.error_state=fc.FAILED),bn(y)&&y.history.silent?(e.splice(v,1),delete s[y.id]):(a[y.id]=[],bn(y)&&y.request_id?c[y.request_id]=y:Zr(y)&&y.history.related_message_id&&(n[y.history.related_message_id]=y))}if(!e.length)return;Object.freeze(e);const d={type:Pe.HISTORY_BEGIN,messages:e};await r.eventBus.fire(d,r.instance),e.forEach(qs),await r.eventBus.fire({type:Pe.HISTORY_END,messages:e},r.instance)}function hnt(t,o,e){t.history=t.history||{},t.ui_state_internal=t.ui_state_internal||{},t.ui_state_internal.from_history=!0,t.history.timestamp=new Date(e.time).getTime(),t.thread_id!==wa&&(o.lastThreadID=t.thread_id),o.allMessagesByID[t.id]=t,o.allMessages.push(t)}function vnt(t){const{allMessages:o,allLocalMessagesByID:e,localMessagesByOriginalMessageID:s}=t;o.forEach(c=>{var n,r;if(Zr(c)){if(!((n=c.history)!=null&&n.silent)){const a=((r=c.history)==null?void 0:r.label)||c.input.text,d=wb(c,a);s[c.id].push(d),e[d.ui_state.id]=d}}else{const a=gnt(c);a!=null&&a.length&&a.forEach(d=>{if(!AN(d)){const l=lm(d,c,!1);if(s[c.id].push(l),e[l.ui_state.id]=l,dS(l.item)){const v=[];uS(l,c,!0,v,!0),v.forEach(y=>{const C=y.ui_state.id;t.loadedHistory.messageHistory.allMessageItemsByID[C]=y})}}})}fnt(c,t)})}function gnt(t){return bn(t)?t.output.generic:null}function fnt(t,o){const{threadMessagesByThreadID:e}=o;let s=e[wa];s||(s=[],e[wa]=s),s.push(t)}function bnt(t){const{loadedHistory:o,threadMessagesByThreadID:e,localMessagesByOriginalMessageID:s}=t;o.messageHistory.botMessageState=ynt(e[wa],s)}function ynt(t,o){const e=[],s=[];return t&&t.forEach(c=>{s.push(c.id),o[c.id].forEach(n=>{e.push(n.ui_state.id)})}),{...vS,localMessageIDs:e,messageIDs:s}}function xnt(t){const{responsesByRequestID:o,threadMessagesByThreadID:e,localMessagesByOriginalMessageID:s}=t,c=e[wa],n=fct(c,r=>Zr(r)&&r.history.is_welcome_request);if(n){const r=o[n.id];r&&s[r.id].forEach(a=>{a.ui_state.isWelcomeResponse=!0})}}function _nt({allMessages:t,relatedMessageByID:o,localMessagesByOriginalMessageID:e}){t.forEach(s=>{bn(s)&&e[s.id].forEach(c=>{if(zN(c.item)){const n=o[s.id];Zr(n)&&(c.ui_state.optionSelected=n)}else if(xct(c)){const n=o[s.id];Zr(n)&&(c.ui_state.originalUserText=n.history.label)}})})}class wnt{constructor(o){this.serviceManager=o}async loadHistory(o){var n;const e=this.serviceManager.store.getState(),{config:s}=e,c=s.public;try{let r;if(o?r=o:(n=c.messaging)!=null&&n.customLoadHistory&&(r={notes:[{body:await c.messaging.customLoadHistory(this.serviceManager.instance)}]}),r){const a=r==null?void 0:r.notes;return pnt(a,this.serviceManager)}}catch(r){ue("An error occurred while attempting to load the conversation history",r)}return null}}class knt{start(o,e,s,c,n){this.hasExceededMaxSilentLoading=!1,this.onEnd=e,this.onSilentLoading=setTimeout(()=>{this.hasExceededMaxSilentLoading=!0,o()},c),this.onMaxAttempt=setTimeout(()=>{s()},n)}end(){this.onMaxAttempt&&clearTimeout(this.onMaxAttempt),this.onSilentLoading&&clearTimeout(this.onSilentLoading),this.onEnd&&this.onEnd(this.hasExceededMaxSilentLoading),this.hasExceededMaxSilentLoading=null,this.onEnd=null}}const P4=[1e3,3e3,5e3],Cnt=150*1e3,Ent=6e3,Snt=4e3;var Vf;(function(t){t[t.SILENT=1]="SILENT",t[t.VISIBLE=2]="VISIBLE"})(Vf||(Vf={}));class Ant{constructor(o,e){var c;this.pendingLocale=!1,this.localeIsExplicit=!1,this.serviceManager=o,this.messageLoadingManager=new knt,this.queue={waiting:[],current:null};const s=(c=e.messaging)==null?void 0:c.messageTimeoutSecs;this.timeoutMS=s?s*1e3:Cnt}async processSuccess(o,e){const{requestOptions:s,isProcessed:c}=o;if(c)return;this.setMessageErrorState(o,fc.NONE);const{message:n}=o;e&&(n.input.message_type!==el.EVENT&&(e.history=e.history||{},e.history.timestamp=e.history.timestamp||Date.now(),o.trackData.lastRequestTime=Date.now()-o.timeLastRequest,o.trackData.totalRequestTime=Date.now()-o.timeFirstRequest,await this.serviceManager.actions.receive(e,!!o.message.history.is_welcome_request,n,s)),this.messageLoadingManager.end()),!o.isProcessed&&(o.sendMessagePromise.doResolve(),o.isProcessed=!0,this.moveToNextQueueItem())}addErrorMessage(){const{store:o}=this.serviceManager,e=o.getState().languagePack.errors_singleMessage,{originalMessage:s,localMessage:c}=xx(e);o.dispatch(ao.addLocalMessageItem(c,s,!0))}sendToAssistantAndUpdateErrorState(o){if(o.isProcessed)return;this.sendToAssistant(o);const s=Date.now()-o.timeFirstRequest;(Ent>s?Vf.SILENT:Vf.VISIBLE)===Vf.VISIBLE&&(this.setMessageErrorState(o,fc.RETRYING),this.queue.waiting.forEach(r=>{this.setMessageErrorState(r,fc.WAITING)}))}async processError(o,e,s){const{timeFirstRequest:c,timeLastRequest:n,tryCount:r,isProcessed:a,trackData:d,requestOptions:l}=o,y=Date.now()-c,C=this.timeoutMS>y&&r{this.sendToAssistantAndUpdateErrorState(o)},k)}else l.silent&&this.addErrorMessage(),this.serviceManager.actions.errorOccurred({errorType:hv.MESSAGE_COMMUNICATION,message:"An error occurred sending a message",otherData:e}),this.rejectFinalErrorOnMessage(o,e)}rejectFinalErrorOnMessage(o,e="An undefined error occurred trying to send your message."){const{sendMessagePromise:s}=o;this.setMessageErrorState(o,fc.FAILED);const{message:c}=o;o===this.queue.current&&c.input.message_type!==el.EVENT&&this.messageLoadingManager.end(),s.doReject(new Error(e)),o.isProcessed=!0,o===this.queue.current&&this.moveToNextQueueItem()}async sendToAssistant(o){const{store:e}=this.serviceManager,s=e.getState(),{customSendMessage:c}=s.config.public.messaging;if(o.timeLastRequest=Date.now(),!o.isProcessed)try{const n=ba(o.message);o.message=n,e.dispatch(ao.updateMessage(n));const r=new AbortController;o.sendMessageController=r,Le("Called customSendMessage",n),await c(n,{signal:r.signal,silent:o.requestOptions.silent},this.serviceManager.instance),await this.processSuccess(o,null)}catch(n){ue("An error occurred while sending a message",n);const r=n&&(typeof n=="string"?n:JSON.stringify(n))||"There was an unidentified error.";this.processError(o,r,!c)}}async runQueueIfReady(){var o,e,s;if(!this.queue.current&&this.queue.waiting.length>0){const{eventBus:c,store:n}=this.serviceManager;this.clearCurrentQueueItem(),this.queue.current=this.queue.waiting.shift();const{current:r}=this.queue,{message:a,source:d}=r,l=n.getState(),{config:v}=n.getState(),{public:y}=v;if(r.timeFirstRequest=Date.now(),a.input.message_type!==el.EVENT){Oct(l)&&(a.thread_id=wa);const k=!((o=y.messaging)!=null&&o.messageLoadingIndicatorTimeoutSecs)&&((e=y.messaging)==null?void 0:e.messageLoadingIndicatorTimeoutSecs)!==0?Snt:y.messaging.messageLoadingIndicatorTimeoutSecs*1e3;if(this.messageLoadingManager.start(()=>{this.serviceManager.store.dispatch(ao.addIsLoadingCounter(1))},O=>{O&&this.serviceManager.store.dispatch(ao.addIsLoadingCounter(-1))},()=>{this.cancelMessageRequestByID(a.id,!0)},k,this.timeoutMS),r.isProcessed)return;const x=((s=a.history)==null?void 0:s.label)||a.input.text;if(await c.fire({type:Pe.PRE_SEND,data:a,source:d},this.serviceManager.instance),r.isProcessed)return;const I=wb(a,x,r.localMessageID);a.history.silent||(n.dispatch(ao.updateLocalMessageItem(I)),n.dispatch(ao.updateMessage(a))),qs(a),await c.fire({type:Pe.SEND,data:a,source:d},this.serviceManager.instance)}this.sendToAssistant(r)}}addToMessageQueue(o,e,s,c,n={}){var a;const r={localMessageID:s,message:o,sendMessagePromise:c,requestOptions:n||{},timeFirstRequest:0,timeLastRequest:0,trackData:{numErrors:0,lastRequestTime:0,totalRequestTime:0},tryCount:0,isProcessed:!1,source:e};this.queue.waiting.push(r),this.queue.current&&((a=o.history)==null?void 0:a.error_state)===fc.RETRYING&&this.setMessageErrorState(r,fc.WAITING)}clearCurrentQueueItem(){this.queue.current&&(this.queue.current=null)}moveToNextQueueItem(){this.clearCurrentQueueItem(),this.runQueueIfReady()}setMessageErrorState(o,e){var r;const{message:s}=o,{allMessagesByID:c}=this.serviceManager.store.getState(),n=c[s.id];if(n){const a=(r=n.history)==null?void 0:r.error_state;if(!(a===e||e===fc.NONE&&!a)){let l;switch(e){case fc.FAILED:{l="errors_ariaMessageFailed";break}}l&&this.serviceManager.store.dispatch(ao.announceMessage({messageID:l})),this.serviceManager.store.dispatch(ao.setMessageErrorState(s.id,e));const{allMessagesByID:v}=this.serviceManager.store.getState();o.message=v[s.id]}}}send(o,e,s,c){o.history.timestamp=o.history.timestamp||Date.now(),o.input=o.input||{},o.input.message_type=o.input.message_type||el.TEXT;const n=h_();return this.addToMessageQueue(o,e,s,n,c),this.runQueueIfReady(),n}cancelAllMessageRequests(){for(;this.queue.waiting.length;)this.cancelMessageRequestByID(this.queue.waiting[0].message.id,!1);this.queue.current&&(this.cancelMessageRequestByID(this.queue.current.message.id,!1),this.clearCurrentQueueItem())}async cancelMessageRequestByID(o,e){var c;let s;if(((c=this.queue.current)==null?void 0:c.message.id)===o)s=this.queue.current;else{const n=this.queue.waiting.findIndex(r=>r.message.id===o);n!==-1&&(s=this.queue.waiting[n],this.queue.waiting.splice(n,1))}if(s){const{lastResponse:n,sendMessageController:r}=s;r==null||r.abort("Message was cancelled"),this.rejectFinalErrorOnMessage(s,"Message was cancelled"),e&&this.serviceManager.actions.errorOccurred({errorType:hv.MESSAGE_COMMUNICATION,message:"Message was cancelled",otherData:await cct(n)})}}}class znt{constructor(o){this.originalName=o,this.attributeSafe=o,this.suffix=Tnt(o)}}function Tnt(t){const o=Int(t);return o!=null&&o.length?`--${t}`:""}function Int(t){return t?t.trim():""}class Rnt{constructor(){this.userDefinedElementRegistry=new Map,this.restartCount=0}async fire(o){return this.eventBus.fire(o,this.instance)}}let Mh={};const Mnt={getItem(t){return Mh[t]},setItem(t,o){Mh[t]=o},removeItem(t){delete Mh[t]},length:Object.keys(Mh).length,clear(){Mh={}},key(t){return Object.keys(Mh)[t]}},Dh=ptt()?window.sessionStorage:Mnt;class Dnt{constructor(o){var e,s;this.serviceManager=o,this.prefix=`CARBON_CHAT_SESSION${((s=(e=this.serviceManager)==null?void 0:e.namespace)==null?void 0:s.suffix)||""}`}loadChatSession(){try{const o=Dh.getItem(this.getChatSessionKey()),e=o?JSON.parse(o):null;return(e==null?void 0:e.version)===_x?e:(this.clearChatSession(),null)}catch{return this.clearChatSession(),null}}loadLauncherSession(){try{const o=Dh.getItem(this.getLauncherSessionKey()),e=o?JSON.parse(o):null;return(e==null?void 0:e.version)===_x?(e.wasLoadedFromBrowser=!0,e):(this.clearLauncherSession(),null)}catch{return this.clearLauncherSession(),null}}persistChatSession(o){try{Dh.setItem(this.getChatSessionKey(),JSON.stringify(o))}catch(e){ue("Error in persistChatSession",e)}}persistLauncherSession(o){try{Dh.setItem(this.getLauncherSessionKey(),JSON.stringify(o))}catch(e){ue("Error in persistLauncherSession",e)}}clearChatSession(){try{Dh.removeItem(this.getChatSessionKey())}catch(o){ue("Error in clearChatSession",o)}}clearLauncherSession(){try{Dh.removeItem(this.getLauncherSessionKey())}catch(o){ue("Error in clearLauncherSession",o)}}getChatSessionKey(){return this.prefix}getLauncherSessionKey(){return this.prefix}}function Nnt(t,o){if(Array.isArray(o))return o}const Ont={[LN]:(t,o)=>{const{isConnecting:e,localMessageID:s}=o;return{...t,humanAgentState:{...t.humanAgentState,isConnecting:e,activeLocalMessageID:s,numUnreadMessages:e?0:t.humanAgentState.numUnreadMessages},persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,humanAgentState:{...t.persistedToBrowserStorage.chatState.humanAgentState,isSuspended:e?t.persistedToBrowserStorage.chatState.humanAgentState.isSuspended:!1}}}}},[PN]:(t,o)=>{const{isReconnecting:e}=o;return{...t,humanAgentState:{...t.humanAgentState,isReconnecting:e}}},[$N]:(t,o)=>t.humanAgentState.isConnecting?{...t,humanAgentState:{...t.humanAgentState,availability:t.humanAgentState.isConnecting?o.availability:null}}:t,[WN]:(t,{showRequest:o})=>({...t,humanAgentState:{...t.humanAgentState,showScreenShareRequest:o}}),[BN]:(t,o)=>{const e={...t.persistedToBrowserStorage.chatState.humanAgentState.responseUserProfiles},{responseUserProfile:s}=o;return s&&(e[s.id]=s),{...t,humanAgentState:{...t.humanAgentState,isConnecting:!1,isReconnecting:!1,availability:null},persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,humanAgentState:{...t.persistedToBrowserStorage.chatState.humanAgentState,isConnected:!0,responseUserProfile:s,responseUserProfiles:e}}}}},[VN]:(t,o)=>({...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,humanAgentState:{...t.persistedToBrowserStorage.chatState.humanAgentState,serviceDeskState:o.state}}}}),[GN]:(t,o)=>!t.humanAgentState.isConnecting&&!t.persistedToBrowserStorage.chatState.humanAgentState.isConnected?t:{...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,humanAgentState:{...t.persistedToBrowserStorage.chatState.humanAgentState,isSuspended:o.isSuspended}}}},[YN]:(t,o)=>({...t,humanAgentState:{...t.humanAgentState,isHumanAgentTyping:o.isTyping}}),[FN]:t=>({...t,botMessageState:{...t.botMessageState},humanAgentState:{...t.humanAgentState,isHumanAgentTyping:!1},persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,humanAgentState:{...t.persistedToBrowserStorage.chatState.humanAgentState,responseUserProfile:null}}}}),[jN]:(t,o)=>{const e={...t.humanAgentState.inputState,...o.capabilities};return e.allowFileUploads||(e.files=[]),{...t,humanAgentState:{...t.humanAgentState,inputState:e}}},[qN]:(t,{isSharing:o})=>({...t,humanAgentState:{...t.humanAgentState,isScreenSharing:o}}),[UN]:(t,o)=>({...t,humanAgentState:{...t.humanAgentState,fileUploadInProgress:o.fileUploadInProgress}}),[HN]:t=>{let o=cO(t,t.humanAgentState.activeLocalMessageID,"wasHumanAgentChatEnded",!0);return o={...o,humanAgentState:{...o.humanAgentState,isConnecting:!1,isReconnecting:!1,availability:null,activeLocalMessageID:null,isHumanAgentTyping:!1,inputState:{...o.humanAgentState.inputState,isReadonly:!1}},persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,humanAgentState:{...t.persistedToBrowserStorage.chatState.humanAgentState,isConnected:!1,isSuspended:!1,responseUserProfile:null}}}},o}},$nt=new Set([rs.USER_ENDED_CHAT,rs.CHAT_WAS_ENDED,rs.RELOAD_WARNING]),pC={[h9]:(t,o)=>Wi({},t,o.partialState),[b9]:t=>({...t,isHydrated:!0}),[B9]:t=>{let o={...t,botMessageState:{...t.botMessageState,localMessageIDs:[],messageIDs:[],isScrollAnchored:!1},allMessageItemsByID:{},allMessagesByID:{},iFramePanelState:{...pS},viewSourcePanelState:{...mS},customPanelState:{...lS},persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,homeScreenState:{...t.persistedToBrowserStorage.chatState.homeScreenState,showBackToBot:!1}}},isHydrated:!1,catastrophicErrorType:null};return o.homeScreenConfig.is_on&&(o=$y(o,!0)),o},[y9]:(t,o)=>({...t,...o.messageHistory}),[x9]:(t,o)=>{const{messageItem:e,message:s,addMessage:c,addAfterID:n}=o,{id:r}=e.ui_state,a=s.history.silent;let d=t;c&&(d=Mk(d,s));const l=d.botMessageState.localMessageIDs.findIndex(C=>C===r),v=[...d.botMessageState.localMessageIDs];let y=l;if(l!==-1?v.splice(l,1):y=v.length,n){const C=v.findIndex(k=>k===n);C!==-1&&(y=C+1)}if(v.splice(y,0,r),!a){d={...d,allMessageItemsByID:{...d.allMessageItemsByID,[r]:e},botMessageState:{...d.botMessageState,localMessageIDs:v}},d.persistedToBrowserStorage.chatState.homeScreenState.isHomeScreenOpen&&(d=$y(d,!1));const C=!e.item.agent_message_type,k=t.persistedToBrowserStorage.launcherState.viewState.mainWindow;!C&&(!k||!t.isBrowserPageVisible)&&!Zr(s)&&!$nt.has(e.item.agent_message_type)&&(d={...d,humanAgentState:{...d.humanAgentState,numUnreadMessages:d.humanAgentState.numUnreadMessages+1}})}return d},[_9]:(t,{messageIDs:o})=>{const e=new Set(o),s={...t.allMessagesByID},c={...t.allMessageItemsByID},n=t.botMessageState.messageIDs.filter(d=>!e.has(d)),r=t.botMessageState.localMessageIDs.filter(d=>{const l=c[d],v=e.has(l==null?void 0:l.fullMessageID);return v&&delete c[d],!v});return o.forEach(d=>{delete s[d]}),{...t,allMessagesByID:s,allMessageItemsByID:c,botMessageState:{...t.botMessageState,messageIDs:n,localMessageIDs:r}}},[w9]:(t,o)=>{const{messageItem:e}=o;return{...t,allMessageItemsByID:{...t.allMessageItemsByID,[e.ui_state.id]:e}}},[G9]:(t,o)=>{const{message:e}=o;return{...t,allMessagesByID:{...t.allMessagesByID,[e.id]:e}}},[H9]:(t,o)=>{const{message:e}=o,s=e.id;let c=t;if(bn(e)){const n=[];e.output.generic.forEach(v=>{const y=yx(s,v);y&&n.push(y)});const r={...t.allMessageItemsByID},a=[];let d;const l=t.botMessageState.localMessageIDs.filter((v,y)=>{const k=t.allMessageItemsByID[v].fullMessageID===s;return k&&(d===void 0&&(d=y),n.includes(v)?a.push(v):delete r[v]),!k});if(a.length){const v=n.filter(y=>a.includes(y));v.length&&l.splice(d,0,...v)}c={...c,allMessageItemsByID:r,botMessageState:{...c.botMessageState,localMessageIDs:l}}}return Mk(c,e)},[I9]:(t,o)=>{const e={...t.allMessageItemsByID};return e[o.messageID]={...t.allMessageItemsByID[o.messageID],ui_state:{...t.allMessageItemsByID[o.messageID].ui_state,optionSelected:o.sentMessage}},{...t,allMessageItemsByID:e}},[C9]:(t,o)=>({...t,botMessageState:{...t.botMessageState,isLoadingCounter:Math.max(t.botMessageState.isLoadingCounter+o.addToIsLoading,0)}}),[E9]:(t,o)=>({...t,botMessageState:{...t.botMessageState,isHydratingCounter:Math.max(t.botMessageState.isHydratingCounter+o.addToIsHydrating,0)}}),[k9]:(t,o)=>({...t,[o.key]:o.value}),[W9]:(t,o)=>({...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,...o.chatState}}}),[U9]:(t,o)=>t.persistedToBrowserStorage.chatState.hasSentNonWelcomeMessage===o.hasSentNonWelcomeMessage?t:{...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,hasSentNonWelcomeMessage:o.hasSentNonWelcomeMessage},launcherState:{...t.persistedToBrowserStorage.launcherState,hasSentNonWelcomeMessage:o.hasSentNonWelcomeMessage}}},[S9]:(t,o)=>Vct(t,o.viewState),[A9]:(t,o)=>({...t,viewChanging:o.viewChanging}),[z9]:(t,o)=>({...t,initialViewChangeComplete:o.changeComplete}),[v9]:(t,o)=>({...t,botName:o.name,headerDisplayName:t.theme.theme===Bs.CARBON_AI?t.headerDisplayName:o.name}),[g9]:(t,o)=>({...t,botAvatarURL:o.url}),[Gst]:(t,o)=>({...t,launcher:{...t.launcher,config:{...t.launcher.config,mobile:{...t.launcher.config.mobile,avatar_url_override:o.source},desktop:{...t.launcher.config.desktop,avatar_url_override:o.source}}}}),[f9]:(t,o)=>({...t,headerDisplayName:o.title}),[T9]:(t,o)=>{const{config:e}=t,{variables:s}=o,c={public:{...e.public}};return{...t,config:c,cssVariableOverrides:s}},[j9]:(t,o)=>{const e=o.homeScreenConfig;return{...t,homeScreenConfig:Dj({},t.homeScreenConfig,e,Nnt)}},[R9]:(t,o)=>cO(t,o.localMessageID,o.propertyName,o.propertyValue),[D9]:(t,o)=>{const{messageID:e,propertyName:s,propertyValue:c}=o,n=t.allMessagesByID[e];return n?{...t,allMessagesByID:{...t.allMessagesByID,[e]:{...n,history:{...n.history,[s]:c}}}}:t},[M9]:(t,o)=>{const{messageID:e,propertyName:s,propertyValue:c}=o,n=t.allMessagesByID[e];return n?{...t,allMessagesByID:{...t.allMessagesByID,[e]:{...n,ui_state_internal:{...n.ui_state_internal,[s]:c}}}}:t},[N9]:(t,o)=>{const e=t.allMessagesByID[o.messageID];return e?{...t,allMessagesByID:{...t.allMessagesByID,[o.messageID]:{...e,history:Wi({},e.history,o.history)}}}:t},[L9]:(t,o)=>({...t,announceMessage:o.message}),[F9]:t=>({...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,chatState:{...t.persistedToBrowserStorage.chatState,disclaimersAccepted:{...t.persistedToBrowserStorage.chatState.disclaimersAccepted,[Zc?window.location.hostname:"localhost"]:!0}}}}),[q9]:(t,{isOpen:o})=>$y(t,o),[tN]:t=>$y(t,!t.persistedToBrowserStorage.chatState.homeScreenState.isHomeScreenOpen,!0),[V9]:(t,o)=>{const e=Wi({},t.launcher.config,o.launcherConfig);return{...t,launcher:{...t.launcher,config:e},persistedToBrowserStorage:{...t.persistedToBrowserStorage,launcherState:{...t.persistedToBrowserStorage.launcherState,desktopLauncherIsExpanded:e.is_on&&e.desktop.is_on?t.persistedToBrowserStorage.launcherState.desktopLauncherIsExpanded:!1,mobileLauncherIsExtended:e.is_on&&e.mobile.is_on?t.persistedToBrowserStorage.launcherState.mobileLauncherIsExtended:!1}}}},[O9]:(t,o)=>({...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,launcherState:{...t.persistedToBrowserStorage.launcherState,[o.propertyName]:o.propertyValue}}}),[$9]:(t,o)=>{const e={...t,launcher:{...t.launcher,config:{...t.launcher.config}}};return(!o.launcherType||o.launcherType===mv.DESKTOP)&&(e.launcher.config.desktop={...t.launcher.config.desktop,[o.propertyName]:o.propertyValue}),(!o.launcherType||o.launcherType===mv.MOBILE)&&(e.launcher.config.mobile={...t.launcher.config.mobile,[o.propertyName]:o.propertyValue}),e},[P9]:(t,o)=>sO(t,{[o.propertyName]:o.propertyValue}),[Y9]:t=>({...t,persistedToBrowserStorage:{...t.persistedToBrowserStorage,launcherState:{...t.persistedToBrowserStorage.launcherState,desktopLauncherIsExpanded:!1,desktopLauncherWasMinimized:!0}}}),[K9]:(t,{messageItem:o})=>({...t,iFramePanelState:{...t.iFramePanelState,messageItem:o,isOpen:!0},announceMessage:{messageID:"iframe_ariaOpenedPanel"}}),[X9]:t=>({...t,iFramePanelState:{...t.iFramePanelState,isOpen:!1},announceMessage:{messageID:"iframe_ariaClosedPanel"}}),[Z9]:(t,o)=>({...t,viewSourcePanelState:{...t.viewSourcePanelState,citationItem:o.citationItem,relatedSearchResult:o.relatedSearchResult,isOpen:o.isOpen}}),[Q9]:(t,o)=>({...t,customPanelState:{...t.customPanelState,isOpen:o.isOpen}}),[J9]:(t,o)=>({...t,customPanelState:{...t.customPanelState,options:o.options}}),[oN]:(t,o)=>{const s={...Cf(t,o.isInputToHumanAgent),...o.newState};return kf(t,s,o.isInputToHumanAgent)},[eN]:(t,o)=>{let e;return t.persistedToBrowserStorage.launcherState.viewState.mainWindow&&o.isVisible?e=0:e=t.humanAgentState.numUnreadMessages,{...t,isBrowserPageVisible:o.isVisible,humanAgentState:{...t.humanAgentState,numUnreadMessages:e}}},[sN]:(t,{file:o,isInputToHumanAgent:e})=>{const s=Cf(t,e);return kf(t,{...s,files:[...s.files,o]},e)},[nN]:(t,{fileID:o,isInputToHumanAgent:e})=>{const s=Cf(t,e),c=[...s.files],n=c.findIndex(r=>r.id===o);return n!==-1&&c.splice(n,1),kf(t,{...s,files:c},e)},[rN]:(t,{localMessageItemID:o})=>{const e=t.botMessageState.localMessageIDs.filter(c=>c!==o),s={...t.allMessageItemsByID};return s[o]&&delete s[o],{...t,allMessageItemsByID:s,botMessageState:{...t.botMessageState,localMessageIDs:e}}},[hN]:(t,{notification:o,notificationID:e})=>({...t,notifications:t.notifications.concat({id:e,notification:o})}),[gN]:(t,{groupID:o,notificationID:e})=>({...t,notifications:t.notifications.filter(s=>e?s.id!==e:s.notification.groupID!==o)}),[vN]:t=>({...t,notifications:[]}),[cN]:(t,{isInputToHumanAgent:o})=>{const e=Cf(t,o);return kf(t,{...e,files:[]},o)},[aN]:(t,{fileID:o,errorMessage:e,isInputToHumanAgent:s})=>{const c=Cf(t,s),n=[...c.files],r=n.findIndex(a=>a.id===o);return r!==-1&&(n[r]={...n[r],isError:!0,errorMessage:e,status:qr.COMPLETE}),kf(t,{...c,files:n},s)},[iN]:(t,{localMessageItems:o})=>{const e={...t.allMessageItemsByID};return o.forEach(s=>{e[s.ui_state.id]=s}),{...t,allMessageItemsByID:e}},[dN]:(t,{isOpen:o})=>({...t,responsePanelState:{...t.responsePanelState,isOpen:o}}),[uN]:(t,{localMessageItem:o,isMessageForInput:e})=>({...t,responsePanelState:{...t.responsePanelState,localMessageItem:o,isMessageForInput:e}}),[pN]:(t,{messageID:o})=>{const e={id:o,output:{generic:[]},history:{timestamp:Date.now()}};return Mk(t,e)},[mN]:(t,{messageID:o,message_options:e})=>{const s=t.allMessagesByID[o],c=Wi({},s,{message_options:e});return s?{...t,allMessagesByID:{...t.allMessagesByID,[o]:c}}:t},[lN]:(t,{chunkItem:o,fullMessageID:e,isCompleteItem:s,disableFadeAnimation:c})=>{var v;const n=t.allMessagesByID[e],r=yx(e,o),a=t.allMessageItemsByID[r];let{localMessageIDs:d}=t.botMessageState,l;if(a)if(s){const y={...a.item,...o};l={...a,item:y,ui_state:{...a.ui_state,isIntermediateStreaming:!1,streamingState:{chunks:[],isDone:!0}}}}else{const C=[...((v=a==null?void 0:a.ui_state.streamingState)==null?void 0:v.chunks)||[],o];l={...a,ui_state:{...a==null?void 0:a.ui_state,streamingState:{...a==null?void 0:a.ui_state.streamingState,chunks:C}}}}else if(l=lm(o,n,!1),l.ui_state.needsAnnouncement=!1,l.ui_state.disableFadeAnimation=c,l.ui_state.isIntermediateStreaming=!0,s?l.ui_state.streamingState={chunks:[],isDone:!0}:l.ui_state.streamingState={chunks:[o],isDone:!1},d=[...d,r],!l.item.response_type)throw new Error(`New chunk item does not have a response_type: ${JSON.stringify(o)}`);return{...t,allMessageItemsByID:{...t.allMessageItemsByID,[r]:l},botMessageState:{...t.botMessageState,localMessageIDs:d}}},[fN]:(t,{chatHeaderConfig:o})=>({...t,chatHeaderState:{...t.chatHeaderState,config:{...t.chatHeaderState.config,...o}}}),[bN]:(t,{isVisible:o})=>({...t,botInputState:{...t.botInputState,stopStreamingButtonState:{...t.botInputState.stopStreamingButtonState,isVisible:o}}}),[yN]:(t,{isDisabled:o})=>({...t,botInputState:{...t.botInputState,stopStreamingButtonState:{...t.botInputState.stopStreamingButtonState,isDisabled:o}}}),[xN]:(t,{currentStreamID:o})=>({...t,botInputState:{...t.botInputState,stopStreamingButtonState:{...t.botInputState.stopStreamingButtonState,currentStreamID:o}}}),[_N]:(t,{config:o})=>({...t,headerAvatarConfig:o})};function kf(t,o,e){return e?{...t,humanAgentState:{...t.humanAgentState,inputState:o}}:{...t,botInputState:o}}function Cf(t,o){return o?t.humanAgentState.inputState:t.botInputState}Object.assign(pC,Ont);function Lnt(t,o){var a,d,l,v;const e={carbonTheme:((a=t.public.themeConfig)==null?void 0:a.carbonTheme)||kx.carbonTheme,theme:((d=t.public.themeConfig)==null?void 0:d.theme)||kx.theme,corners:Pnt(t),whiteLabelTheme:(l=t.public.themeConfig)==null?void 0:l.whiteLabelTheme},s=act(e.theme,t),c={...QN,notifications:[],botInputState:{...tO(),isReadonly:t.public.isReadonly,fieldVisible:!t.public.isReadonly},humanAgentState:{...oO},botName:s,headerDisplayName:null,botAvatarURL:t.public.botAvatarURL||null,headerAvatarConfig:null,chatWidthBreakpoint:null,chatWidth:null,chatHeight:null,cssVariableOverrides:nO({},e.theme===Bs.WHITE_LABEL?e.whiteLabelTheme||{}:{},e.carbonTheme,e.theme),isHydrated:!1,languagePack:dn,locale:"en",config:t,originalConfig:t,suspendScrollDetection:!1,homeScreenConfig:wN({}),persistedToBrowserStorage:{...qf,chatState:{...qf.chatState,homeScreenState:{...qf.chatState.homeScreenState}}},launcher:Wi({},KN,{config:Wi({},{},{mobile:{}},{is_on:t.public.showLauncher})}),iFramePanelState:pS,viewSourcePanelState:mS,isDestroyed:!1,customPanelState:lS,viewChanging:!1,initialViewChangeComplete:!1,targetViewState:t.public.openChatByDefault?JN:hS,responsePanelState:ZN,customMenuOptions:null,isBrowserPageVisible:!0,showNonHeaderBackgroundCover:!1,theme:e,layout:rO(t),chatHeaderState:{config:null}},n=(v=o.userSessionStorageService)==null?void 0:v.loadLauncherSession();n&&(c.targetViewState=n.viewState,n.viewState=jb,c.persistedToBrowserStorage.launcherState=n);const r=t.public.debug||Wct==="development"?window.__REDUX_DEVTOOLS_EXTENSION__&&window.__REDUX_DEVTOOLS_EXTENSION__({name:"CarbonAIChat",instanceId:`Chat${o.namespace.suffix}`}):void 0;return rR(Bnt,c,r)}function Pnt(t){var o;return rO(t).showFrame===!1||d_||((o=t.public.themeConfig)==null?void 0:o.corners)===tm.SQUARE?tm.SQUARE:kx.corners}function rO(t){var o,e,s;return((o=t.public.themeConfig)==null?void 0:o.theme)===Bs.CARBON_AI?{showFrame:((e=t.public.layout)==null?void 0:e.showFrame)??!0,hasContentMaxWidth:((s=t.public.layout)==null?void 0:s.hasContentMaxWidth)??!0}:Wi({},eO,t.public.layout)}function Bnt(t,o){return o&&pC[o.type]?pC[o.type](t,o):t}const Fnt=1e4;function Hnt(t){let o=t.store.getState().persistedToBrowserStorage;return()=>{const{persistedToBrowserStorage:e}=t.store.getState();o!==e&&(o=e,t.userSessionStorageService.persistChatSession(e.chatState),t.userSessionStorageService.persistLauncherSession(e.launcherState))}}function jnt(t){const{store:o}=t;let e,s,c=o.getState();return()=>{const n=o.getState(),{humanAgentState:r}=o.getState(),{numUnreadMessages:a}=r;a!==c.humanAgentState.numUnreadMessages&&Zc&&(a?(clearTimeout(s),e||(e=window.document.title),window.document.title=n.languagePack.agent_newMessage,s=setTimeout(()=>{window.document.title=`(${a}) ${e}`},Fnt)):(clearTimeout(s),e&&(window.document.title=e,e=null))),c=n}}async function Unt(t,o){const e=t.public,s=new Rnt;return s.additionalChatParameters=o,s.namespace=new znt(e.namespace),s.userSessionStorageService=new Dnt(s),s.actions=new int(s),s.eventBus=new dnt,s.store=Lnt(t,s),s.historyService=new wnt(s),s.messageService=new Ant(s,e),s.store.subscribe(Hnt(s)),e.disableWindowTitleChanges||s.store.subscribe(jnt(s)),s.customPanelManager=lnt(s),l_(s,s.store.getState().locale,s.store.getState().languagePack),s.writeableElements={},Zc&&(s.writeableElements={[Yc.AI_TOOLTIP_AFTER_DESCRIPTION_ELEMENT]:document.createElement("div"),[Yc.WELCOME_NODE_BEFORE_ELEMENT]:document.createElement("div"),[Yc.HEADER_BOTTOM_ELEMENT]:document.createElement("div"),[Yc.BEFORE_INPUT_ELEMENT]:document.createElement("div"),[Yc.HOME_SCREEN_HEADER_BOTTOM_ELEMENT]:document.createElement("div"),[Yc.HOME_SCREEN_AFTER_STARTERS_ELEMENT]:document.createElement("div"),[Yc.HOME_SCREEN_BEFORE_INPUT_ELEMENT]:document.createElement("div"),[Yc.CUSTOM_PANEL_ELEMENT]:document.createElement("div")}),e.debug&&sct(!0),s}const Wnt={openChatByDefault:!1,showLauncher:!0,shouldTakeFocusIfOpensAutomatically:!0,serviceDesk:{},messaging:{},themeConfig:{}};async function qnt(t,o,e,s){var l;const c=ba(t);if(!((l=c.messaging)!=null&&l.customSendMessage))throw new Error("You must set messaging.customSendMessage in your configuration object.");c!=null&&c.debug&&u_("[ChatEntry] Called instantiateWidget",c),Zc&&(document.location.protocol!=="https:"&&om('Your page is not running with "https"; your data will not be sent securely.'),document.compatMode!=="CSS1Compat"&&om('Your page is running in quirks mode; you may experience layout issues with the chat. Add "" to the page to run in standards mode.'));const{onError:n,...r}=c,a=await o(r),d={onError:n,render:e};return new a(r,s,d)}function Vnt(t,o,e){const s=o==null?void 0:o.nickname;let c;switch(t){case rs.HUMAN_AGENT_JOINED:{c=s?"agent_agentJoinedName":"agent_agentJoinedNoName";break}case rs.RELOAD_WARNING:{c="agent_youConnectedWarning";break}case rs.HUMAN_AGENT_LEFT_CHAT:{c=s?"agent_agentLeftChat":"agent_agentLeftChatNoName";break}case rs.HUMAN_AGENT_ENDED_CHAT:{c=s?"agent_agentEndedChat":"agent_agentEndedChatNoName";break}case rs.TRANSFER_TO_HUMAN_AGENT:{c=s?"agent_transferring":"agent_transferringNoName";break}case rs.USER_ENDED_CHAT:{c="agent_youEndedChat";break}case rs.CHAT_WAS_ENDED:{c="agent_conversationWasEnded";break}case rs.DISCONNECTED:{c="agent_disconnected";break}case rs.RECONNECTED:{c="agent_reconnected";break}case rs.SHARING_REQUESTED:{c="agent_sharingRequested";break}case rs.SHARING_ACCEPTED:{c="agent_sharingAccepted";break}case rs.SHARING_DECLINED:{c="agent_sharingDeclined";break}case rs.SHARING_CANCELLED:{c="agent_sharingCancelled";break}case rs.SHARING_ENDED:{c="agent_sharingEnded";break}default:return""}return c&&e.formatMessage({id:c},{personName:s})}function Yd(t,o){return{localMessages:t,originalMessage:o}}async function aO(t,o,e,s=!0){const c=Vnt(t,e,o.intl),n=iO(t),{originalMessage:r,localMessage:a}=n;return a.item.text=c,e&&(r.message_options=r.message_options||{},r.message_options.response_user_profile=e),s&&await o.fire({type:Pe.HUMAN_AGENT_PRE_RECEIVE,data:r}),qs(r),s&&await o.fire({type:Pe.HUMAN_AGENT_RECEIVE,data:r}),n}function iO(t){const o={response_type:Eo.TEXT,agent_message_type:t},e=RN(o);return{localMessage:lm(o,e),originalMessage:e}}function Gnt(t){const{agent_botReturned:o}=t;if(!o)return null;const{originalMessage:e,localMessage:s}=iO(null);return s.item.text=o,{originalMessage:e,localMessage:s}}async function il(t,o,e){o&&await Fi(t,async({localMessages:s,originalMessage:c})=>{await Fi(s,async(n,r)=>{await e.actions.handleUserDefinedResponseItems(n,c),e.store.dispatch(ao.addLocalMessageItem(n,c,r===0))})})}async function B4(t,o,e){const s=Gnt(e.store.getState().languagePack);if(s){const c=e.restartCount;nC(()=>{c===e.restartCount&&il([Yd([s.localMessage],s.originalMessage)],!o,e)},t)}}async function F4(t,o,e,s,c){const n=await aO(t,c,o,e);await il([Yd([n.localMessage],n.originalMessage)],!s,c)}const Ynt=3e3,Xnt=2e4,Knt=5e3,Znt=5e3,Jnt=1500,{FROM_USER:Qnt,RECONNECTED:trt,DISCONNECTED:ort,HUMAN_AGENT_ENDED_CHAT:ert,HUMAN_AGENT_JOINED:srt,USER_ENDED_CHAT:crt,CHAT_WAS_ENDED:nrt,TRANSFER_TO_HUMAN_AGENT:rrt,HUMAN_AGENT_LEFT_CHAT:art,RELOAD_WARNING:irt,SHARING_CANCELLED:dO,SHARING_DECLINED:drt,SHARING_ACCEPTED:urt,SHARING_REQUESTED:lrt,SHARING_ENDED:mC}=rs;class prt{constructor(o){this.chatStarted=!1,this.showingDisconnectedError=!1,this.isHumanAgentTyping=!1,this.uploadingFiles=new Set,this.showLeaveWarning=!0,this.serviceManager=o}getCustomServiceDeskName(){var o,e;return this.serviceManager.store.getState().config.public.serviceDeskFactory?(e=(o=this.serviceDesk).getName)==null?void 0:e.call(o):void 0}async initialize(){var a;if(this.serviceDesk)throw new Error("A service desk has already been created!");const{store:o,instance:e}=this.serviceManager,s=o.getState(),{config:c,persistedToBrowserStorage:n}=s,r=ba(n.chatState.humanAgentState.serviceDeskState);if(this.serviceDeskCallback=new mrt(this.serviceManager,this),c.public.serviceDeskFactory){const d={callback:this.serviceDeskCallback,instance:e,persistedState:r};this.serviceDesk=await c.public.serviceDeskFactory(d),vrt(this.serviceDesk),Le("Initializing a custom service desk")}this.showLeaveWarning=!((a=this.serviceDesk)!=null&&a.reconnect)}async startChat(o,e){var c;if(!this.serviceDesk)throw new Error("A service desk has not been configured.");if(this.serviceManager.store.getState().persistedToBrowserStorage.chatState.humanAgentState.isSuspended&&await this.endChat(!0,!0,!1),this.chatStarted)throw new Error("A chat is already running. A call to endChat must be made before a new chat can start.");const{serviceManager:s}=this;try{this.chatStarted=!0,this.isHumanAgentTyping=!1,this.uploadingFiles.clear(),this.serviceManager.store.dispatch(dC(this.uploadingFiles.size>0));const n={type:Pe.HUMAN_AGENT_PRE_START_CHAT,message:e};if(await s.fire(n),n.cancelStartChat){this.chatStarted=!1,await this.fireEndChat(!1,!0),s.store.dispatch(l1(!1,null));return}const r=(c=s.store.getState().config.public.serviceDesk)==null?void 0:c.agentJoinTimeoutSeconds;r&&(this.waitingForHumanAgentJoinedTimer=setTimeout(()=>this.handleHumanAgentJoinedTimeout(),r*1e3)),s.store.dispatch(l1(!0,o.ui_state.id)),await this.serviceDesk.startChat(e,{preStartChatPayload:n.preStartChatPayload})}catch(n){throw ue("[startChat] An error with the service desk occurred.",n),this.serviceDeskCallback&&await this.serviceDeskCallback.setErrorStatus({type:Ku.CONNECTING,logInfo:n}),s.store.dispatch(l1(!1,null)),this.chatStarted=!1,this.cancelHumanAgentJoinedTimer(),n}}async firePreEndChat(o){const e={type:Pe.HUMAN_AGENT_PRE_END_CHAT,endedByHumanAgent:o,preEndChatPayload:null,cancelEndChat:!1};return await this.serviceManager.fire(e),e}async fireEndChat(o,e){await this.serviceManager.fire({type:Pe.HUMAN_AGENT_END_CHAT,endedByHumanAgent:o,requestCancelled:e})}async endChat(o,e=!0,s=!0){if(!this.chatStarted||!this.serviceDesk)return;const{isConnected:c}=this.persistedHumanAgentState();let n;if(c&&(n=await this.firePreEndChat(!1),n.cancelEndChat))return;const r=o?crt:nrt;await this.doEndChat(!1,n==null?void 0:n.preEndChatPayload,e,s,r)}async doEndChat(o,e,s,c,n){const{isConnected:r}=this.persistedHumanAgentState(),a=this.isSuspended();this.cancelHumanAgentJoinedTimer(),this.closeScreenShareRequestModal(Va.CANCELLED);try{await iC(this.serviceDesk.endChat({endedByHumanAgent:o,preEndChatPayload:e}),Knt)}catch(d){ue("[doEndChat] An error with the service desk occurred.",d)}if(r&&s){const{responseUserProfile:d}=this.persistedHumanAgentState();await F4(n,d,!0,a,this.serviceManager)}this.chatStarted=!1,this.isHumanAgentTyping=!1,this.serviceManager.store.dispatch(D4()),await this.fireEndChat(o,!r),r&&c&&await B4(Jnt,a,this.serviceManager)}async sendMessageToAgent(o,e){if(!this.serviceDesk||!this.chatStarted)return;const{serviceManager:s}=this;qs(e);const c=p_(o);c.input.agent_message_type=Qnt,await s.fire({type:Pe.HUMAN_AGENT_PRE_SEND,data:c,files:e});const n=wb(c,c.input.text),r=n.ui_state.id,a=[];n.item.text&&a.push(Yd([n],c)),e.forEach(y=>{const C=Act(y),k=wb(C,C.input.text,y.id);a.push(Yd([k],C)),this.uploadingFiles.add(y.id)}),this.serviceManager.store.dispatch(dC(this.uploadingFiles.size>0)),await il(a,!this.isSuspended(),s);let d=!1,l=!1;setTimeout(()=>{!d&&!l&&this.setMessageErrorState(n.fullMessageID,fc.RETRYING)},Ynt),setTimeout(()=>{d||this.setMessageErrorState(n.fullMessageID,fc.FAILED)},Xnt);const v={filesToUpload:e};try{await this.serviceDesk.sendMessageToAgent(c,r,v),d=!0,this.setMessageErrorState(n.fullMessageID,fc.NONE),await s.fire({type:Pe.HUMAN_AGENT_SEND,data:c,files:e})}catch(y){l=!0,ue("[sendMessageToAgent] An error with the service desk occurred.",y),this.setMessageErrorState(n.fullMessageID,fc.FAILED)}}filesSelectedForUpload(o){var e,s;if(!(!this.serviceDesk||!this.chatStarted))try{(s=(e=this.serviceDesk).filesSelectedForUpload)==null||s.call(e,o)}catch(c){ue("[userReadMessages] An error with the service desk occurred.",c)}}async userReadMessages(){if(!(!this.serviceDesk||!this.chatStarted))try{await this.serviceDesk.userReadMessages()}catch(o){ue("[userReadMessages] An error with the service desk occurred.",o)}}async checkAreAnyHumanAgentsOnline(o){var c,n;let e;const s=this.serviceManager.restartCount;if(!((c=this.serviceDesk)!=null&&c.areAnyAgentsOnline))e=Vd.UNKNOWN;else try{const r=(n=this.serviceManager.store.getState().config.public.serviceDesk)==null?void 0:n.availabilityTimeoutSeconds,a=r?r*1e3:Znt,d=await iC(this.serviceDesk.areAnyAgentsOnline(o),a);d===!0?e=Vd.ONLINE:d===!1?e=Vd.OFFLINE:e=Vd.UNKNOWN}catch(r){ue("Error attempting to get agent availability",r),e=Vd.OFFLINE}return s===this.serviceManager.restartCount&&this.serviceManager.fire({type:Pe.HUMAN_AGENT_ARE_ANY_AGENTS_ONLINE,areAnyAgentsOnline:e}),e}async userTyping(o){var e,s;if(!(!this.serviceDesk||!this.chatStarted))try{await((s=(e=this.serviceDesk).userTyping)==null?void 0:s.call(e,o))}catch(c){ue("[userTyping] An error with the service desk occurred.",c)}}setMessageErrorState(o,e){this.serviceManager.store.dispatch(ao.setMessageErrorState(o,e))}async handleHumanAgentJoinedTimeout(){const o=this.serviceManager.store.getState().languagePack.errors_noHumanAgentsJoined,{originalMessage:e,localMessage:s}=xx(o);await il([Yd([s],e)],!this.isSuspended(),this.serviceManager),this.endChat(!1)}cancelHumanAgentJoinedTimer(){this.waitingForHumanAgentJoinedTimer&&(clearTimeout(this.waitingForHumanAgentJoinedTimer),this.waitingForHumanAgentJoinedTimer=null)}async screenShareUpdateRequestState(o){if(!this.persistedHumanAgentState().isConnected)return;this.closeScreenShareRequestModal(o);let e;switch(o){case Va.ACCEPTED:e=urt;break;case Va.DECLINED:e=drt;break;case Va.CANCELLED:e=dO;break;case Va.ENDED:e=mC;break;default:return}await this.addHumanAgentLocalMessage(e)}async screenShareStop(){var o,e;this.serviceManager.store.dispatch(uC(!1)),await this.addHumanAgentLocalMessage(mC),await((e=(o=this.serviceDesk)==null?void 0:o.screenShareStop)==null?void 0:e.call(o))}async handleHydration(o,e){var r;const{store:s}=this.serviceManager;let c=!1;const{isConnected:n}=this.persistedHumanAgentState();if(n){if(this.chatStarted=!0,o&&((r=this.serviceDesk)!=null&&r.reconnect))try{s.dispatch(M4(!0)),setTimeout(this.serviceManager.appWindow.requestFocus),c=await this.serviceDesk.reconnect()}catch(a){ue("Error while trying to reconnect to an agent.",a)}if(s.dispatch(M4(!1)),!this.persistedHumanAgentState().isConnected){this.chatStarted=!1;return}if(setTimeout(this.serviceManager.appWindow.requestFocus),c)this.showLeaveWarning=!1;else{this.chatStarted=!1;const a=this.isSuspended();if(s.dispatch(D4()),e){const{responseUserProfile:d}=this.persistedHumanAgentState();await F4(rs.CHAT_WAS_ENDED,d,!1,a,this.serviceManager),await B4(0,a,this.serviceManager)}}}}closeScreenShareRequestModal(o){this.serviceManager.store.dispatch(XN(!1)),this.screenShareRequestPromise&&(this.screenShareRequestPromise.doResolve(o),this.screenShareRequestPromise=null),this.serviceManager.store.dispatch(uC(o===Va.ACCEPTED))}async addHumanAgentLocalMessage(o,e,s=!0){e||(e=this.persistedHumanAgentState().responseUserProfile);const{localMessage:c,originalMessage:n}=await aO(o,this.serviceManager,e,s);await il([Yd([c],n)],!this.isSuspended(),this.serviceManager)}persistedHumanAgentState(){return this.serviceManager.store.getState().persistedToBrowserStorage.chatState.humanAgentState}isSuspended(){return this.serviceManager.store.getState().persistedToBrowserStorage.chatState.humanAgentState.isSuspended}}class mrt{constructor(o,e){this.serviceManager=o,this.service=e}updateCapabilities(o){this.serviceManager.store.dispatch(Fct(ba(o)))}async updateAgentAvailability(o){this.service.chatStarted&&this.serviceManager.store.dispatch(Bct(o))}async agentJoined(o){this.service.chatStarted&&(this.service.cancelHumanAgentJoinedTimer(),this.serviceManager.store.dispatch(N4(o)),await this.service.addHumanAgentLocalMessage(srt,o),this.service.showLeaveWarning&&(await this.service.addHumanAgentLocalMessage(irt,null,!1),this.service.showLeaveWarning=!1))}async agentReadMessages(){this.service.chatStarted&&Le("[ServiceDeskCallbackImpl] agentReadMessages")}async agentTyping(o){this.persistedHumanAgentState().isConnected&&o!==this.service.isHumanAgentTyping&&(this.serviceManager.store.dispatch(Uct(o)),this.service.isHumanAgentTyping=o)}async sendMessageToUser(o,e){var a,d;if(!this.service.chatStarted||!o)return;const s=typeof o=="string"?IN(o):o;em(s),(d=(a=s.output)==null?void 0:a.generic)!=null&&d.length&&s.output.generic.forEach(l=>{l.agent_message_type||(l.agent_message_type=rs.FROM_HUMAN_AGENT)});const{serviceManager:c}=this;let n;e===void 0?n=this.persistedHumanAgentState().responseUserProfile:(n=this.persistedHumanAgentState().responseUserProfiles[e],n||(n=this.persistedHumanAgentState().responseUserProfile,n&&ue(`Got agent ID ${e} but no agent with that ID joined the conversation. Using the current agent instead.`))),await c.fire({type:Pe.HUMAN_AGENT_PRE_RECEIVE,data:s,responseUserProfile:n}),s.message_options=s.message_options||{},s.message_options.response_user_profile=n;const r=s.output.generic.map(l=>lm(l,s));await il([Yd(r,s)],!this.service.isSuspended(),this.serviceManager),await c.fire({type:Pe.HUMAN_AGENT_RECEIVE,data:s,responseUserProfile:n})}async beginTransferToAnotherAgent(o){this.service.chatStarted&&(o&&this.serviceManager.store.dispatch(N4(o)),await this.service.addHumanAgentLocalMessage(rrt,o))}async agentLeftChat(){this.service.chatStarted&&(await this.service.addHumanAgentLocalMessage(art),this.service.isHumanAgentTyping=!1,this.serviceManager.store.dispatch(Pct()))}async agentEndedChat(){if(!this.service.chatStarted)return;const o=await this.service.firePreEndChat(!0);o.cancelEndChat||await this.service.doEndChat(!0,o.preEndChatPayload,!0,!0,ert)}async setErrorStatus(o){if(!this.service.chatStarted)return;const{type:e,logInfo:s}=o,{store:c}=this.serviceManager,{isConnecting:n}=c.getState().humanAgentState;switch(s&&ue(`An error occurred in the service desk (type=${e})`,s),n&&o.type===Ku.DISCONNECTED&&o.isDisconnected&&(o={type:Ku.CONNECTING}),o.type){case Ku.DISCONNECTED:{o.isDisconnected?(this.service.showingDisconnectedError=!0,await this.service.addHumanAgentLocalMessage(ort,null,!0),c.dispatch(ao.updateInputState({isReadonly:!0},!0))):this.service.showingDisconnectedError&&(this.service.showingDisconnectedError=!1,await this.service.addHumanAgentLocalMessage(trt,null,!0),c.dispatch(ao.updateInputState({isReadonly:!1},!0)));break}case Ku.CONNECTING:{const{languagePack:r}=this.serviceManager.store.getState(),a=o.messageToUser||r.errors_connectingToHumanAgent,{originalMessage:d,localMessage:l}=xx(a);await il([Yd([l],d)],!this.service.isSuspended(),this.serviceManager),this.serviceManager.store.dispatch(l1(!1,null)),this.service.chatStarted=!1,this.service.cancelHumanAgentJoinedTimer(),await this.service.fireEndChat(!1,n);break}case Ku.USER_MESSAGE:{this.service.setMessageErrorState(o.messageID,fc.FAILED);break}}}async setFileUploadStatus(o,e,s){const{store:c}=this.serviceManager;if(c.getState().allMessagesByID[o])if(qr.COMPLETE,e){if(c.dispatch(ao.setMessageResponseHistoryProperty(o,"file_upload_status",qr.COMPLETE)),c.dispatch(ao.setMessageResponseHistoryProperty(o,"error_state",fc.FAILED)),fc.FAILED,s){const{originalMessage:r,localMessage:a}=xx(s);a.item.agent_message_type=rs.INLINE_ERROR,await il([Yd([a],r)],!this.service.isSuspended(),this.serviceManager)}}else c.dispatch(ao.setMessageResponseHistoryProperty(o,"file_upload_status",qr.SUCCESS)),c.dispatch(ao.announceMessage({messageID:"fileSharing_ariaAnnounceSuccess"}));else e&&c.dispatch(ao.fileUploadInputError(o,s,!0));this.service.uploadingFiles.delete(o),this.serviceManager.store.dispatch(dC(this.service.uploadingFiles.size>0))}async screenShareRequest(){return this.persistedHumanAgentState().isConnected?(this.service.screenShareRequestPromise||(this.service.screenShareRequestPromise=h_(),this.serviceManager.store.dispatch(XN(!0)),await this.service.addHumanAgentLocalMessage(lrt)),this.service.screenShareRequestPromise):Promise.reject(new Error("Cannot request screen sharing if no chat is in progress."))}async screenShareEnded(){const o=this.serviceManager.store.getState().humanAgentState.isScreenSharing,e=this.service.screenShareRequestPromise;this.service.closeScreenShareRequestModal(Va.CANCELLED),o?(this.serviceManager.store.dispatch(uC(!1)),await this.service.addHumanAgentLocalMessage(mC)):e&&await this.service.addHumanAgentLocalMessage(dO)}persistedHumanAgentState(){return this.serviceManager.store.getState().persistedToBrowserStorage.chatState.humanAgentState}persistedState(){return this.serviceManager.store.getState().persistedToBrowserStorage.chatState.humanAgentState.serviceDeskState}updatePersistedState(o,e=!0){const{store:s}=this.serviceManager;let c;e?c=Wi({},s.getState().persistedToBrowserStorage.chatState.humanAgentState.serviceDeskState,o):c=ba(o),s.dispatch(Hct(qs(c)))}}function hrt(t){return new prt(t)}function vrt(t){var o;if(!t)ue("The custom service desk does not appear to be valid. No service desk was provided.",t);else if(typeof t!="object")ue(`The custom service desk does not appear to be valid. The type should be "object" but is "${typeof t}"`,t);else{["startChat","endChat","sendMessageToAgent"].forEach(c=>{const n=t[c];typeof n!="function"&&ue(`The custom service desk does not appear to be valid. The type of property "${c}"should be "function" but is "${typeof n}"`,n,t)});const s=(o=t.getName)==null?void 0:o.call(t);if(!s)throw Error("The custom service desk does not have a name.");if(s&&(typeof s!="string"||s.length>40))throw new Error(`The custom service desk name "${s}" is not valid.`)}}Ga.extend(iB);let grt=class{constructor(o,e,s){o!=null&&o.debug&&u_("Constructed chat widget",o);const c=Wi({},Wnt,o);this.additionalChatParameters=s||{},this.appConfig={public:c},this.customHostElement=e}async start(){try{return(await this.startInternal()).instance}catch(o){return ue("There was an error starting your chat",o),null}}async startInternal(){this.serviceManager=await Unt(this.appConfig,this.additionalChatParameters);const[o,e,s]=await Promise.all([EN(this.serviceManager.store.getState().languagePack),rS(this.serviceManager.store.getState().locale),Promise.resolve(this.additionalChatParameters.render)]);this.serviceManager.customHostElement=this.customHostElement,this.serviceManager.humanAgentService=hrt(this.serviceManager),l_(this.serviceManager,e.name,o),Ga.locale(e);const c=async()=>{await s({serviceManager:this.serviceManager});const r=this.serviceManager.store.getState(),{wasLoadedFromBrowser:a}=r.persistedToBrowserStorage.launcherState,{targetViewState:d}=r,{openChatByDefault:l}=r.config.public;if(d.mainWindow){let v=xb.SESSION_HISTORY;l&&!a&&(v=xb.OPEN_BY_DEFAULT),await this.serviceManager.actions.changeView(d,{mainWindowOpenReason:v})}else{const v=ux.WEB_CHAT_LOADED,y=!1,C=Px(d,jb);await this.serviceManager.actions.changeView(d,{viewChangeReason:v},y,C)}return this.serviceManager.store.dispatch(ao.setInitialViewChangeComplete(!0)),this.serviceManager.instance},n=()=>{const r=c();return this.serviceManager.renderPromise=r,r};return this.serviceManager.instance=vct({serviceManager:this.serviceManager,callRender:n}),{instance:this.serviceManager.instance,serviceManager:this.serviceManager}}};const v_=g.createContext(null),gS=g.createContext(null);function oc(){return U.useContext(gS)}const frt=tS(yrt);function brt(t,o=!1,e){t&&yR(t,{boundary:e,scrollMode:"if-needed",block:"nearest",inline:"nearest"}).forEach(({el:c,top:n,left:r})=>{Rp(c,Math.round(n),Math.round(r),o)})}function Rp(t,o,e,s=!1){setTimeout(()=>{t&&(s&&t.scroll?t.scroll({top:o,left:e,behavior:"smooth"}):(t.scrollTop=o,t.scrollLeft=e))})}function yrt(){const t=document.createElement("div");t.style.visibility="hidden",t.style.overflow="scroll",document.body.appendChild(t);const o=document.createElement("div");t.appendChild(o);const e=t.offsetWidth-o.offsetWidth;return t.parentNode.removeChild(t),e}function uO(t,o=!1){t&&document.activeElement!==t&&fl(t,{getShadowRoot:!0})&&t.focus({preventScroll:o})}function 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--cds-chat-bubble-agent:#ffffff; --cds-chat-bubble-border:#e0e0e0; --cds-chat-bubble-user:#e0e0e0; --cds-chat-button:#0f62fe; --cds-chat-button-active:rgba(141, 141, 141, 0.5); --cds-chat-button-hover:rgba(141, 141, 141, 0.12); --cds-chat-button-selected:rgba(141, 141, 141, 0.2); --cds-chat-button-text-hover:#0043ce; --cds-chat-button-text-selected:#525252; --cds-chat-header-background:#ffffff; --cds-chat-prompt-background:#ffffff; --cds-chat-prompt-border-end:rgba(244, 244, 244, 0); --cds-chat-prompt-border-start:#f4f4f4; --cds-chat-shell-background:#ffffff; --cds-field-01:#f4f4f4; --cds-field-02:#ffffff; --cds-field-03:#f4f4f4; --cds-field-hover-01:#e8e8e8; --cds-field-hover-02:#e8e8e8; --cds-field-hover-03:#e8e8e8; --cds-focus:#0f62fe; --cds-focus-inset:#ffffff; --cds-focus-inverse:#ffffff; --cds-highlight:#d0e2ff; --cds-icon-disabled:rgba(22, 22, 22, 0.25); --cds-icon-interactive:#0f62fe; --cds-icon-inverse:#ffffff; --cds-icon-on-color:#ffffff; --cds-icon-on-color-disabled:#8d8d8d; --cds-icon-primary:#161616; --cds-icon-secondary:#525252; --cds-interactive:#0f62fe; --cds-layer-01:#f4f4f4; --cds-layer-02:#ffffff; --cds-layer-03:#f4f4f4; --cds-layer-accent-01:#e0e0e0; --cds-layer-accent-02:#e0e0e0; --cds-layer-accent-03:#e0e0e0; --cds-layer-accent-active-01:#a8a8a8; --cds-layer-accent-active-02:#a8a8a8; --cds-layer-accent-active-03:#a8a8a8; --cds-layer-accent-hover-01:#d1d1d1; --cds-layer-accent-hover-02:#d1d1d1; --cds-layer-accent-hover-03:#d1d1d1; --cds-layer-active-01:#c6c6c6; --cds-layer-active-02:#c6c6c6; --cds-layer-active-03:#c6c6c6; --cds-layer-background-01:#ffffff; --cds-layer-background-02:#f4f4f4; --cds-layer-background-03:#ffffff; --cds-layer-hover-01:#e8e8e8; --cds-layer-hover-02:#e8e8e8; --cds-layer-hover-03:#e8e8e8; --cds-layer-selected-01:#e0e0e0; --cds-layer-selected-02:#e0e0e0; --cds-layer-selected-03:#e0e0e0; --cds-layer-selected-disabled:#8d8d8d; --cds-layer-selected-hover-01:#d1d1d1; --cds-layer-selected-hover-02:#d1d1d1; --cds-layer-selected-hover-03:#d1d1d1; --cds-layer-selected-inverse:#161616; --cds-link-inverse:#78a9ff; --cds-link-inverse-active:#f4f4f4; --cds-link-inverse-hover:#a6c8ff; --cds-link-inverse-visited:#be95ff; --cds-link-primary:#0f62fe; --cds-link-primary-hover:#0043ce; --cds-link-secondary:#0043ce; --cds-link-visited:#8a3ffc; --cds-overlay:rgba(22, 22, 22, 0.5); --cds-shadow:rgba(0, 0, 0, 0.3); --cds-skeleton-background:#e8e8e8; --cds-skeleton-element:#c6c6c6; --cds-support-caution-major:#ff832b; --cds-support-caution-minor:#f1c21b; --cds-support-caution-undefined:#8a3ffc; --cds-support-error:#da1e28; --cds-support-error-inverse:#fa4d56; --cds-support-info:#0043ce; --cds-support-info-inverse:#4589ff; --cds-support-success:#24a148; --cds-support-success-inverse:#42be65; --cds-support-warning:#f1c21b; --cds-support-warning-inverse:#f1c21b; --cds-text-disabled:rgba(22, 22, 22, 0.25); --cds-text-error:#da1e28; --cds-text-helper:#6f6f6f; --cds-text-inverse:#ffffff; --cds-text-on-color:#ffffff; --cds-text-on-color-disabled:#8d8d8d; --cds-text-placeholder:rgba(22, 22, 22, 0.4); --cds-text-primary:#161616; --cds-text-secondary:#525252; --cds-toggle-off:#8d8d8d; --cds-spacing-01:0.125rem; --cds-spacing-02:0.25rem; --cds-spacing-03:0.5rem; --cds-spacing-04:0.75rem; --cds-spacing-05:1rem; --cds-spacing-06:1.5rem; --cds-spacing-07:2rem; --cds-spacing-08:2.5rem; --cds-spacing-09:3rem; --cds-spacing-10:4rem; --cds-spacing-11:5rem; --cds-spacing-12:6rem; --cds-spacing-13:10rem; --cds-fluid-spacing-01:0; --cds-fluid-spacing-02:2vw; --cds-fluid-spacing-03:5vw; --cds-fluid-spacing-04:10vw; --cds-caption-01-font-size:0.75rem; --cds-caption-01-font-weight:400; --cds-caption-01-line-height:1.33333; --cds-caption-01-letter-spacing:0.32px; --cds-caption-02-font-size:0.875rem; --cds-caption-02-font-weight:400; --cds-caption-02-line-height:1.28572; --cds-caption-02-letter-spacing:0.32px; --cds-label-01-font-size:0.75rem; --cds-label-01-font-weight:400; --cds-label-01-line-height:1.33333; --cds-label-01-letter-spacing:0.32px; --cds-label-02-font-size:0.875rem; --cds-label-02-font-weight:400; --cds-label-02-line-height:1.28572; --cds-label-02-letter-spacing:0.16px; --cds-helper-text-01-font-size:0.75rem; --cds-helper-text-01-line-height:1.33333; --cds-helper-text-01-letter-spacing:0.32px; --cds-helper-text-02-font-size:0.875rem; --cds-helper-text-02-font-weight:400; --cds-helper-text-02-line-height:1.28572; --cds-helper-text-02-letter-spacing:0.16px; --cds-body-short-01-font-size:0.875rem; --cds-body-short-01-font-weight:400; --cds-body-short-01-line-height:1.28572; --cds-body-short-01-letter-spacing:0.16px; --cds-body-short-02-font-size:1rem; --cds-body-short-02-font-weight:400; --cds-body-short-02-line-height:1.375; --cds-body-short-02-letter-spacing:0; --cds-body-long-01-font-size:0.875rem; --cds-body-long-01-font-weight:400; --cds-body-long-01-line-height:1.42857; --cds-body-long-01-letter-spacing:0.16px; --cds-body-long-02-font-size:1rem; --cds-body-long-02-font-weight:400; --cds-body-long-02-line-height:1.5; --cds-body-long-02-letter-spacing:0; --cds-code-01-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace; --cds-code-01-font-size:0.75rem; --cds-code-01-font-weight:400; --cds-code-01-line-height:1.33333; --cds-code-01-letter-spacing:0.32px; --cds-code-02-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace; --cds-code-02-font-size:0.875rem; --cds-code-02-font-weight:400; --cds-code-02-line-height:1.42857; --cds-code-02-letter-spacing:0.32px; --cds-heading-01-font-size:0.875rem; --cds-heading-01-font-weight:600; --cds-heading-01-line-height:1.42857; --cds-heading-01-letter-spacing:0.16px; --cds-heading-02-font-size:1rem; --cds-heading-02-font-weight:600; --cds-heading-02-line-height:1.5; --cds-heading-02-letter-spacing:0; --cds-productive-heading-01-font-size:0.875rem; --cds-productive-heading-01-font-weight:600; --cds-productive-heading-01-line-height:1.28572; --cds-productive-heading-01-letter-spacing:0.16px; --cds-productive-heading-02-font-size:1rem; --cds-productive-heading-02-font-weight:600; --cds-productive-heading-02-line-height:1.375; --cds-productive-heading-02-letter-spacing:0; --cds-productive-heading-03-font-size:1.25rem; --cds-productive-heading-03-font-weight:400; --cds-productive-heading-03-line-height:1.4; --cds-productive-heading-03-letter-spacing:0; --cds-productive-heading-04-font-size:1.75rem; --cds-productive-heading-04-font-weight:400; --cds-productive-heading-04-line-height:1.28572; --cds-productive-heading-04-letter-spacing:0; --cds-productive-heading-05-font-size:2rem; --cds-productive-heading-05-font-weight:400; --cds-productive-heading-05-line-height:1.25; --cds-productive-heading-05-letter-spacing:0; --cds-productive-heading-06-font-size:2.625rem; --cds-productive-heading-06-font-weight:300; --cds-productive-heading-06-line-height:1.199; --cds-productive-heading-06-letter-spacing:0; --cds-productive-heading-07-font-size:3.375rem; --cds-productive-heading-07-font-weight:300; --cds-productive-heading-07-line-height:1.19; --cds-productive-heading-07-letter-spacing:0; --cds-expressive-paragraph-01-font-size:1.5rem; --cds-expressive-paragraph-01-font-weight:300; --cds-expressive-paragraph-01-line-height:1.334; --cds-expressive-paragraph-01-letter-spacing:0; --cds-expressive-heading-01-font-size:0.875rem; --cds-expressive-heading-01-font-weight:600; --cds-expressive-heading-01-line-height:1.42857; --cds-expressive-heading-01-letter-spacing:0.16px; --cds-expressive-heading-02-font-size:1rem; --cds-expressive-heading-02-font-weight:600; --cds-expressive-heading-02-line-height:1.5; --cds-expressive-heading-02-letter-spacing:0; --cds-expressive-heading-03-font-size:1.25rem; --cds-expressive-heading-03-font-weight:400; --cds-expressive-heading-03-line-height:1.4; --cds-expressive-heading-03-letter-spacing:0; --cds-expressive-heading-04-font-size:1.75rem; --cds-expressive-heading-04-font-weight:400; --cds-expressive-heading-04-line-height:1.28572; --cds-expressive-heading-04-letter-spacing:0; --cds-expressive-heading-05-font-size:2rem; --cds-expressive-heading-05-font-weight:400; --cds-expressive-heading-05-line-height:1.25; --cds-expressive-heading-05-letter-spacing:0; --cds-expressive-heading-06-font-size:2rem; --cds-expressive-heading-06-font-weight:600; --cds-expressive-heading-06-line-height:1.25; --cds-expressive-heading-06-letter-spacing:0; --cds-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-quotation-01-font-size:1.25rem; --cds-quotation-01-font-weight:400; --cds-quotation-01-line-height:1.3; --cds-quotation-01-letter-spacing:0; --cds-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-quotation-02-font-size:2rem; --cds-quotation-02-font-weight:300; --cds-quotation-02-line-height:1.25; --cds-quotation-02-letter-spacing:0; --cds-display-01-font-size:2.625rem; --cds-display-01-font-weight:300; --cds-display-01-line-height:1.19; --cds-display-01-letter-spacing:0; --cds-display-02-font-size:2.625rem; --cds-display-02-font-weight:600; --cds-display-02-line-height:1.19; --cds-display-02-letter-spacing:0; --cds-display-03-font-size:2.625rem; --cds-display-03-font-weight:300; --cds-display-03-line-height:1.19; --cds-display-03-letter-spacing:0; --cds-display-04-font-size:2.625rem; --cds-display-04-font-weight:300; --cds-display-04-line-height:1.19; --cds-display-04-letter-spacing:0; --cds-legal-01-font-size:0.75rem; --cds-legal-01-font-weight:400; --cds-legal-01-line-height:1.33333; --cds-legal-01-letter-spacing:0.32px; --cds-legal-02-font-size:0.875rem; --cds-legal-02-font-weight:400; --cds-legal-02-line-height:1.28572; --cds-legal-02-letter-spacing:0.16px; --cds-body-compact-01-font-size:0.875rem; --cds-body-compact-01-font-weight:400; --cds-body-compact-01-line-height:1.28572; --cds-body-compact-01-letter-spacing:0.16px; --cds-body-compact-02-font-size:1rem; --cds-body-compact-02-font-weight:400; --cds-body-compact-02-line-height:1.375; --cds-body-compact-02-letter-spacing:0; --cds-heading-compact-01-font-size:0.875rem; --cds-heading-compact-01-font-weight:600; --cds-heading-compact-01-line-height:1.28572; --cds-heading-compact-01-letter-spacing:0.16px; --cds-heading-compact-02-font-size:1rem; --cds-heading-compact-02-font-weight:600; --cds-heading-compact-02-line-height:1.375; --cds-heading-compact-02-letter-spacing:0; --cds-body-01-font-size:0.875rem; --cds-body-01-font-weight:400; --cds-body-01-line-height:1.42857; --cds-body-01-letter-spacing:0.16px; --cds-body-02-font-size:1rem; --cds-body-02-font-weight:400; --cds-body-02-line-height:1.5; --cds-body-02-letter-spacing:0; --cds-heading-03-font-size:1.25rem; --cds-heading-03-font-weight:400; --cds-heading-03-line-height:1.4; --cds-heading-03-letter-spacing:0; --cds-heading-04-font-size:1.75rem; --cds-heading-04-font-weight:400; --cds-heading-04-line-height:1.28572; --cds-heading-04-letter-spacing:0; --cds-heading-05-font-size:2rem; --cds-heading-05-font-weight:400; --cds-heading-05-line-height:1.25; --cds-heading-05-letter-spacing:0; --cds-heading-06-font-size:2.625rem; --cds-heading-06-font-weight:300; --cds-heading-06-line-height:1.199; --cds-heading-06-letter-spacing:0; --cds-heading-07-font-size:3.375rem; --cds-heading-07-font-weight:300; --cds-heading-07-line-height:1.19; --cds-heading-07-letter-spacing:0; --cds-fluid-heading-03-font-size:1.25rem; --cds-fluid-heading-03-font-weight:400; --cds-fluid-heading-03-line-height:1.4; --cds-fluid-heading-03-letter-spacing:0; --cds-fluid-heading-04-font-size:1.75rem; --cds-fluid-heading-04-font-weight:400; --cds-fluid-heading-04-line-height:1.28572; --cds-fluid-heading-04-letter-spacing:0; --cds-fluid-heading-05-font-size:2rem; --cds-fluid-heading-05-font-weight:400; --cds-fluid-heading-05-line-height:1.25; --cds-fluid-heading-05-letter-spacing:0; --cds-fluid-heading-06-font-size:2rem; --cds-fluid-heading-06-font-weight:600; --cds-fluid-heading-06-line-height:1.25; --cds-fluid-heading-06-letter-spacing:0; --cds-fluid-paragraph-01-font-size:1.5rem; --cds-fluid-paragraph-01-font-weight:300; --cds-fluid-paragraph-01-line-height:1.334; --cds-fluid-paragraph-01-letter-spacing:0; --cds-fluid-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-fluid-quotation-01-font-size:1.25rem; --cds-fluid-quotation-01-font-weight:400; --cds-fluid-quotation-01-line-height:1.3; --cds-fluid-quotation-01-letter-spacing:0; --cds-fluid-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-fluid-quotation-02-font-size:2rem; --cds-fluid-quotation-02-font-weight:300; --cds-fluid-quotation-02-line-height:1.25; --cds-fluid-quotation-02-letter-spacing:0; --cds-fluid-display-01-font-size:2.625rem; --cds-fluid-display-01-font-weight:300; --cds-fluid-display-01-line-height:1.19; --cds-fluid-display-01-letter-spacing:0; --cds-fluid-display-02-font-size:2.625rem; --cds-fluid-display-02-font-weight:600; --cds-fluid-display-02-line-height:1.19; --cds-fluid-display-02-letter-spacing:0; --cds-fluid-display-03-font-size:2.625rem; --cds-fluid-display-03-font-weight:300; --cds-fluid-display-03-line-height:1.19; --cds-fluid-display-03-letter-spacing:0; --cds-fluid-display-04-font-size:2.625rem; --cds-fluid-display-04-font-weight:300; --cds-fluid-display-04-line-height:1.19; --cds-fluid-display-04-letter-spacing:0; --cds-layer:var(--cds-layer-01, #f4f4f4); --cds-layer-active:var(--cds-layer-active-01, #c6c6c6); --cds-layer-background:var(--cds-layer-background-01, #ffffff); --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8); --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0); --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1); --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0); --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1); --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8); --cds-field:var(--cds-field-01, #f4f4f4); --cds-field-hover:var(--cds-field-hover-01, #e8e8e8); --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0); --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6); --cds-border-strong:var(--cds-border-strong-01, #8d8d8d); --cds-border-tile:var(--cds-border-tile-01, #c6c6c6); } @media screen and (-ms-high-contrast: active), (forced-colors: active){ .cds-ai-chat-table-container.cds--white{ --cds-icon-primary:ButtonText; --cds-icon-secondary:ButtonText; --cds-icon-interactive:ButtonText; --cds-icon-disabled:GrayText; --cds-icon-on-color-disabled:GrayText; --cds-icon-inverse:SelectedItemText; --cds-icon-on-color:SelectedItemText; --cds-button-disabled:GrayText; --cds-interactive:ButtonText; --cds-link-primary:LinkText; --cds-link-primary-hover:LinkText; --cds-link-secondary:LinkText; --cds-link-inverse:SelectedItemText; --cds-link-inverse-hover:SelectedItemText; --cds-link-inverse-visited:SelectedItemText; --cds-link-visited:VisitedText; --cds-background-selected:SelectedItem; --cds-background-selected-hover:SelectedItem; --cds-background-inverse:SelectedItem; --cds-layer-selected-inverse:SelectedItem; } } .cds-ai-chat-table-container.cds--g90{ --cds-ai-aura-end:rgba(0, 0, 0, 0); --cds-ai-aura-hover-background:#474747; --cds-ai-aura-hover-end:rgba(0, 0, 0, 0); --cds-ai-aura-hover-start:rgba(69, 137, 255, 0.4); --cds-ai-aura-start:rgba(69, 137, 255, 0.1); --cds-ai-aura-start-sm:rgba(69, 137, 255, 0.16); --cds-ai-border-end:#4589ff; --cds-ai-border-start:rgba(166, 200, 255, 0.36); --cds-ai-border-strong:#78a9ff; --cds-ai-drop-shadow:rgba(0, 0, 0, 0.28); --cds-ai-inner-shadow:rgba(69, 137, 255, 0.16); --cds-ai-overlay:rgba(0, 0, 0, 0.5); --cds-ai-popover-background:#161616; --cds-ai-popover-caret-bottom:#4589ff; --cds-ai-popover-caret-bottom-background:#202d45; --cds-ai-popover-caret-bottom-background-actions:#1e283a; --cds-ai-popover-caret-center:#4870b5; --cds-ai-popover-shadow-outer-01:rgba(0, 0, 0, 0.12); --cds-ai-popover-shadow-outer-02:rgba(0, 0, 0, 0.08); --cds-ai-skeleton-background:rgba(120, 169, 255, 0.5); --cds-ai-skeleton-element-background:rgba(120, 169, 255, 0.3); --cds-background:#262626; --cds-background-active:rgba(141, 141, 141, 0.4); --cds-background-brand:#0f62fe; --cds-background-hover:rgba(141, 141, 141, 0.16); --cds-background-inverse:#f4f4f4; --cds-background-inverse-hover:#e8e8e8; --cds-background-selected:rgba(141, 141, 141, 0.24); --cds-background-selected-hover:rgba(141, 141, 141, 0.32); --cds-border-disabled:rgba(141, 141, 141, 0.5); --cds-border-interactive:#4589ff; --cds-border-inverse:#f4f4f4; --cds-border-strong-01:#8d8d8d; --cds-border-strong-02:#a8a8a8; --cds-border-strong-03:#c6c6c6; --cds-border-subtle-00:#525252; --cds-border-subtle-01:#6f6f6f; --cds-border-subtle-02:#8d8d8d; --cds-border-subtle-03:#8d8d8d; --cds-border-subtle-selected-01:#8d8d8d; --cds-border-subtle-selected-02:#a8a8a8; --cds-border-subtle-selected-03:#a8a8a8; --cds-border-tile-01:#6f6f6f; --cds-border-tile-02:#8d8d8d; --cds-border-tile-03:#a8a8a8; --cds-chat-avatar-agent:#c6c6c6; --cds-chat-avatar-bot:#8d8d8d; --cds-chat-avatar-user:#4589ff; --cds-chat-bubble-agent:#262626; --cds-chat-bubble-border:#525252; --cds-chat-bubble-user:#393939; --cds-chat-button:#78a9ff; --cds-chat-button-active:rgba(141, 141, 141, 0.4); --cds-chat-button-hover:rgba(141, 141, 141, 0.16); --cds-chat-button-selected:rgba(141, 141, 141, 0.24); --cds-chat-button-text-hover:#a6c8ff; --cds-chat-button-text-selected:#c6c6c6; --cds-chat-header-background:#262626; --cds-chat-prompt-background:#161616; --cds-chat-prompt-border-end:rgba(38, 38, 38, 0); --cds-chat-prompt-border-start:#262626; --cds-chat-shell-background:#262626; --cds-field-01:#393939; --cds-field-02:#525252; --cds-field-03:#6f6f6f; --cds-field-hover-01:#474747; --cds-field-hover-02:#636363; --cds-field-hover-03:#5e5e5e; --cds-focus:#ffffff; --cds-focus-inset:#161616; --cds-focus-inverse:#0f62fe; --cds-highlight:#002d9c; --cds-icon-disabled:rgba(244, 244, 244, 0.25); --cds-icon-interactive:#ffffff; --cds-icon-inverse:#161616; --cds-icon-on-color:#ffffff; --cds-icon-on-color-disabled:rgba(255, 255, 255, 0.25); --cds-icon-primary:#f4f4f4; --cds-icon-secondary:#c6c6c6; --cds-interactive:#4589ff; --cds-layer-01:#393939; --cds-layer-02:#525252; --cds-layer-03:#6f6f6f; --cds-layer-accent-01:#525252; --cds-layer-accent-02:#6f6f6f; --cds-layer-accent-03:#8d8d8d; --cds-layer-accent-active-01:#8d8d8d; --cds-layer-accent-active-02:#393939; --cds-layer-accent-active-03:#525252; --cds-layer-accent-hover-01:#636363; --cds-layer-accent-hover-02:#5e5e5e; --cds-layer-accent-hover-03:#7a7a7a; --cds-layer-active-01:#6f6f6f; --cds-layer-active-02:#8d8d8d; --cds-layer-active-03:#393939; --cds-layer-background-01:#262626; --cds-layer-background-02:#393939; --cds-layer-background-03:#525252; --cds-layer-hover-01:#474747; --cds-layer-hover-02:#636363; --cds-layer-hover-03:#5e5e5e; --cds-layer-selected-01:#525252; --cds-layer-selected-02:#6f6f6f; --cds-layer-selected-03:#525252; --cds-layer-selected-disabled:#a8a8a8; --cds-layer-selected-hover-01:#636363; --cds-layer-selected-hover-02:#5e5e5e; --cds-layer-selected-hover-03:#636363; --cds-layer-selected-inverse:#f4f4f4; --cds-link-inverse:#0f62fe; --cds-link-inverse-active:#161616; --cds-link-inverse-hover:#0043ce; --cds-link-inverse-visited:#8a3ffc; --cds-link-primary:#78a9ff; --cds-link-primary-hover:#a6c8ff; --cds-link-secondary:#a6c8ff; --cds-link-visited:#be95ff; --cds-overlay:rgba(0, 0, 0, 0.65); --cds-shadow:rgba(0, 0, 0, 0.8); --cds-skeleton-background:#333333; --cds-skeleton-element:#525252; --cds-support-caution-major:#ff832b; --cds-support-caution-minor:#f1c21b; --cds-support-caution-undefined:#a56eff; --cds-support-error:#ff8389; --cds-support-error-inverse:#da1e28; --cds-support-info:#4589ff; --cds-support-info-inverse:#0043ce; --cds-support-success:#42be65; --cds-support-success-inverse:#24a148; --cds-support-warning:#f1c21b; --cds-support-warning-inverse:#f1c21b; --cds-text-disabled:rgba(244, 244, 244, 0.25); --cds-text-error:#ffb3b8; --cds-text-helper:#c6c6c6; --cds-text-inverse:#161616; --cds-text-on-color:#ffffff; --cds-text-on-color-disabled:rgba(255, 255, 255, 0.25); --cds-text-placeholder:rgba(244, 244, 244, 0.4); --cds-text-primary:#f4f4f4; --cds-text-secondary:#c6c6c6; --cds-toggle-off:#8d8d8d; --cds-spacing-01:0.125rem; --cds-spacing-02:0.25rem; --cds-spacing-03:0.5rem; --cds-spacing-04:0.75rem; --cds-spacing-05:1rem; --cds-spacing-06:1.5rem; --cds-spacing-07:2rem; --cds-spacing-08:2.5rem; --cds-spacing-09:3rem; --cds-spacing-10:4rem; --cds-spacing-11:5rem; --cds-spacing-12:6rem; --cds-spacing-13:10rem; --cds-fluid-spacing-01:0; --cds-fluid-spacing-02:2vw; --cds-fluid-spacing-03:5vw; --cds-fluid-spacing-04:10vw; --cds-caption-01-font-size:0.75rem; --cds-caption-01-font-weight:400; --cds-caption-01-line-height:1.33333; --cds-caption-01-letter-spacing:0.32px; --cds-caption-02-font-size:0.875rem; --cds-caption-02-font-weight:400; --cds-caption-02-line-height:1.28572; --cds-caption-02-letter-spacing:0.32px; --cds-label-01-font-size:0.75rem; --cds-label-01-font-weight:400; --cds-label-01-line-height:1.33333; --cds-label-01-letter-spacing:0.32px; --cds-label-02-font-size:0.875rem; --cds-label-02-font-weight:400; --cds-label-02-line-height:1.28572; --cds-label-02-letter-spacing:0.16px; --cds-helper-text-01-font-size:0.75rem; --cds-helper-text-01-line-height:1.33333; --cds-helper-text-01-letter-spacing:0.32px; --cds-helper-text-02-font-size:0.875rem; --cds-helper-text-02-font-weight:400; --cds-helper-text-02-line-height:1.28572; --cds-helper-text-02-letter-spacing:0.16px; --cds-body-short-01-font-size:0.875rem; --cds-body-short-01-font-weight:400; --cds-body-short-01-line-height:1.28572; --cds-body-short-01-letter-spacing:0.16px; --cds-body-short-02-font-size:1rem; --cds-body-short-02-font-weight:400; --cds-body-short-02-line-height:1.375; --cds-body-short-02-letter-spacing:0; --cds-body-long-01-font-size:0.875rem; --cds-body-long-01-font-weight:400; --cds-body-long-01-line-height:1.42857; --cds-body-long-01-letter-spacing:0.16px; --cds-body-long-02-font-size:1rem; --cds-body-long-02-font-weight:400; --cds-body-long-02-line-height:1.5; --cds-body-long-02-letter-spacing:0; --cds-code-01-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace; --cds-code-01-font-size:0.75rem; --cds-code-01-font-weight:400; --cds-code-01-line-height:1.33333; --cds-code-01-letter-spacing:0.32px; --cds-code-02-font-family:'IBM Plex Mono', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', monospace; --cds-code-02-font-size:0.875rem; --cds-code-02-font-weight:400; --cds-code-02-line-height:1.42857; --cds-code-02-letter-spacing:0.32px; --cds-heading-01-font-size:0.875rem; --cds-heading-01-font-weight:600; --cds-heading-01-line-height:1.42857; --cds-heading-01-letter-spacing:0.16px; --cds-heading-02-font-size:1rem; --cds-heading-02-font-weight:600; --cds-heading-02-line-height:1.5; --cds-heading-02-letter-spacing:0; --cds-productive-heading-01-font-size:0.875rem; --cds-productive-heading-01-font-weight:600; --cds-productive-heading-01-line-height:1.28572; --cds-productive-heading-01-letter-spacing:0.16px; --cds-productive-heading-02-font-size:1rem; --cds-productive-heading-02-font-weight:600; --cds-productive-heading-02-line-height:1.375; --cds-productive-heading-02-letter-spacing:0; --cds-productive-heading-03-font-size:1.25rem; --cds-productive-heading-03-font-weight:400; --cds-productive-heading-03-line-height:1.4; --cds-productive-heading-03-letter-spacing:0; --cds-productive-heading-04-font-size:1.75rem; --cds-productive-heading-04-font-weight:400; --cds-productive-heading-04-line-height:1.28572; --cds-productive-heading-04-letter-spacing:0; --cds-productive-heading-05-font-size:2rem; --cds-productive-heading-05-font-weight:400; --cds-productive-heading-05-line-height:1.25; --cds-productive-heading-05-letter-spacing:0; --cds-productive-heading-06-font-size:2.625rem; --cds-productive-heading-06-font-weight:300; --cds-productive-heading-06-line-height:1.199; --cds-productive-heading-06-letter-spacing:0; --cds-productive-heading-07-font-size:3.375rem; --cds-productive-heading-07-font-weight:300; --cds-productive-heading-07-line-height:1.19; --cds-productive-heading-07-letter-spacing:0; --cds-expressive-paragraph-01-font-size:1.5rem; --cds-expressive-paragraph-01-font-weight:300; --cds-expressive-paragraph-01-line-height:1.334; --cds-expressive-paragraph-01-letter-spacing:0; --cds-expressive-heading-01-font-size:0.875rem; --cds-expressive-heading-01-font-weight:600; --cds-expressive-heading-01-line-height:1.42857; --cds-expressive-heading-01-letter-spacing:0.16px; --cds-expressive-heading-02-font-size:1rem; --cds-expressive-heading-02-font-weight:600; --cds-expressive-heading-02-line-height:1.5; --cds-expressive-heading-02-letter-spacing:0; --cds-expressive-heading-03-font-size:1.25rem; --cds-expressive-heading-03-font-weight:400; --cds-expressive-heading-03-line-height:1.4; --cds-expressive-heading-03-letter-spacing:0; --cds-expressive-heading-04-font-size:1.75rem; --cds-expressive-heading-04-font-weight:400; --cds-expressive-heading-04-line-height:1.28572; --cds-expressive-heading-04-letter-spacing:0; --cds-expressive-heading-05-font-size:2rem; --cds-expressive-heading-05-font-weight:400; --cds-expressive-heading-05-line-height:1.25; --cds-expressive-heading-05-letter-spacing:0; --cds-expressive-heading-06-font-size:2rem; --cds-expressive-heading-06-font-weight:600; --cds-expressive-heading-06-line-height:1.25; --cds-expressive-heading-06-letter-spacing:0; --cds-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-quotation-01-font-size:1.25rem; --cds-quotation-01-font-weight:400; --cds-quotation-01-line-height:1.3; --cds-quotation-01-letter-spacing:0; --cds-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-quotation-02-font-size:2rem; --cds-quotation-02-font-weight:300; --cds-quotation-02-line-height:1.25; --cds-quotation-02-letter-spacing:0; --cds-display-01-font-size:2.625rem; --cds-display-01-font-weight:300; --cds-display-01-line-height:1.19; --cds-display-01-letter-spacing:0; --cds-display-02-font-size:2.625rem; --cds-display-02-font-weight:600; --cds-display-02-line-height:1.19; --cds-display-02-letter-spacing:0; --cds-display-03-font-size:2.625rem; --cds-display-03-font-weight:300; --cds-display-03-line-height:1.19; --cds-display-03-letter-spacing:0; --cds-display-04-font-size:2.625rem; --cds-display-04-font-weight:300; --cds-display-04-line-height:1.19; --cds-display-04-letter-spacing:0; --cds-legal-01-font-size:0.75rem; --cds-legal-01-font-weight:400; --cds-legal-01-line-height:1.33333; --cds-legal-01-letter-spacing:0.32px; --cds-legal-02-font-size:0.875rem; --cds-legal-02-font-weight:400; --cds-legal-02-line-height:1.28572; --cds-legal-02-letter-spacing:0.16px; --cds-body-compact-01-font-size:0.875rem; --cds-body-compact-01-font-weight:400; --cds-body-compact-01-line-height:1.28572; --cds-body-compact-01-letter-spacing:0.16px; --cds-body-compact-02-font-size:1rem; --cds-body-compact-02-font-weight:400; --cds-body-compact-02-line-height:1.375; --cds-body-compact-02-letter-spacing:0; --cds-heading-compact-01-font-size:0.875rem; --cds-heading-compact-01-font-weight:600; --cds-heading-compact-01-line-height:1.28572; --cds-heading-compact-01-letter-spacing:0.16px; --cds-heading-compact-02-font-size:1rem; --cds-heading-compact-02-font-weight:600; --cds-heading-compact-02-line-height:1.375; --cds-heading-compact-02-letter-spacing:0; --cds-body-01-font-size:0.875rem; --cds-body-01-font-weight:400; --cds-body-01-line-height:1.42857; --cds-body-01-letter-spacing:0.16px; --cds-body-02-font-size:1rem; --cds-body-02-font-weight:400; --cds-body-02-line-height:1.5; --cds-body-02-letter-spacing:0; --cds-heading-03-font-size:1.25rem; --cds-heading-03-font-weight:400; --cds-heading-03-line-height:1.4; --cds-heading-03-letter-spacing:0; --cds-heading-04-font-size:1.75rem; --cds-heading-04-font-weight:400; --cds-heading-04-line-height:1.28572; --cds-heading-04-letter-spacing:0; --cds-heading-05-font-size:2rem; --cds-heading-05-font-weight:400; --cds-heading-05-line-height:1.25; --cds-heading-05-letter-spacing:0; --cds-heading-06-font-size:2.625rem; --cds-heading-06-font-weight:300; --cds-heading-06-line-height:1.199; --cds-heading-06-letter-spacing:0; --cds-heading-07-font-size:3.375rem; --cds-heading-07-font-weight:300; --cds-heading-07-line-height:1.19; --cds-heading-07-letter-spacing:0; --cds-fluid-heading-03-font-size:1.25rem; --cds-fluid-heading-03-font-weight:400; --cds-fluid-heading-03-line-height:1.4; --cds-fluid-heading-03-letter-spacing:0; --cds-fluid-heading-04-font-size:1.75rem; --cds-fluid-heading-04-font-weight:400; --cds-fluid-heading-04-line-height:1.28572; --cds-fluid-heading-04-letter-spacing:0; --cds-fluid-heading-05-font-size:2rem; --cds-fluid-heading-05-font-weight:400; --cds-fluid-heading-05-line-height:1.25; --cds-fluid-heading-05-letter-spacing:0; --cds-fluid-heading-06-font-size:2rem; --cds-fluid-heading-06-font-weight:600; --cds-fluid-heading-06-line-height:1.25; --cds-fluid-heading-06-letter-spacing:0; --cds-fluid-paragraph-01-font-size:1.5rem; --cds-fluid-paragraph-01-font-weight:300; --cds-fluid-paragraph-01-line-height:1.334; --cds-fluid-paragraph-01-letter-spacing:0; --cds-fluid-quotation-01-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-fluid-quotation-01-font-size:1.25rem; --cds-fluid-quotation-01-font-weight:400; --cds-fluid-quotation-01-line-height:1.3; --cds-fluid-quotation-01-letter-spacing:0; --cds-fluid-quotation-02-font-family:'IBM Plex Serif', system-ui, -apple-system, BlinkMacSystemFont, '.SFNSText-Regular', serif; --cds-fluid-quotation-02-font-size:2rem; --cds-fluid-quotation-02-font-weight:300; --cds-fluid-quotation-02-line-height:1.25; --cds-fluid-quotation-02-letter-spacing:0; --cds-fluid-display-01-font-size:2.625rem; --cds-fluid-display-01-font-weight:300; --cds-fluid-display-01-line-height:1.19; --cds-fluid-display-01-letter-spacing:0; --cds-fluid-display-02-font-size:2.625rem; --cds-fluid-display-02-font-weight:600; --cds-fluid-display-02-line-height:1.19; --cds-fluid-display-02-letter-spacing:0; --cds-fluid-display-03-font-size:2.625rem; --cds-fluid-display-03-font-weight:300; --cds-fluid-display-03-line-height:1.19; --cds-fluid-display-03-letter-spacing:0; --cds-fluid-display-04-font-size:2.625rem; --cds-fluid-display-04-font-weight:300; --cds-fluid-display-04-line-height:1.19; --cds-fluid-display-04-letter-spacing:0; --cds-layer:var(--cds-layer-01, #f4f4f4); --cds-layer-active:var(--cds-layer-active-01, #c6c6c6); --cds-layer-background:var(--cds-layer-background-01, #ffffff); --cds-layer-hover:var(--cds-layer-hover-01, #e8e8e8); --cds-layer-selected:var(--cds-layer-selected-01, #e0e0e0); --cds-layer-selected-hover:var(--cds-layer-selected-hover-01, #d1d1d1); --cds-layer-accent:var(--cds-layer-accent-01, #e0e0e0); --cds-layer-accent-hover:var(--cds-layer-accent-hover-01, #d1d1d1); --cds-layer-accent-active:var(--cds-layer-accent-active-01, #a8a8a8); --cds-field:var(--cds-field-01, #f4f4f4); --cds-field-hover:var(--cds-field-hover-01, #e8e8e8); --cds-border-subtle:var(--cds-border-subtle-00, #e0e0e0); --cds-border-subtle-selected:var(--cds-border-subtle-selected-01, #c6c6c6); --cds-border-strong:var(--cds-border-strong-01, #8d8d8d); --cds-border-tile:var(--cds-border-tile-01, #c6c6c6); } @media screen and (-ms-high-contrast: active), (forced-colors: active){ .cds-ai-chat-table-container.cds--g90{ --cds-icon-primary:ButtonText; --cds-icon-secondary:ButtonText; --cds-icon-interactive:ButtonText; --cds-icon-disabled:GrayText; --cds-icon-on-color-disabled:GrayText; --cds-icon-inverse:SelectedItemText; --cds-icon-on-color:SelectedItemText; --cds-button-disabled:GrayText; --cds-interactive:ButtonText; --cds-link-primary:LinkText; --cds-link-primary-hover:LinkText; --cds-link-secondary:LinkText; --cds-link-inverse:SelectedItemText; --cds-link-inverse-hover:SelectedItemText; --cds-link-inverse-visited:SelectedItemText; --cds-link-visited:VisitedText; --cds-background-selected:SelectedItem; --cds-background-selected-hover:SelectedItem; --cds-background-inverse:SelectedItem; --cds-layer-selected-inverse:SelectedItem; } }`;const eat=rd({...aT,attrs:{...aT.attrs,slot:"icon"}});function W4(t){const{tableTitle:o,tableDescription:e,headers:s,filterPlaceholderText:c,locale:n,_handleDownload:r,_rowsWithIDs:a,_allowFiltering:d,_handleFilterEvent:l}=t;function v(){return Mt` ${d?Mt``:""} ${cu(eat)} `}function y(){return Mt` ${s.map(k=>Mt`${k}`)} `}function C(){return Mt` ${fD(a,k=>k.id,k=>Mt`${k.cells.map(x=>Mt`${x}`)}`)} `}return Mt` ${o&&Mt`${o}`} ${e&&Mt`${e}`} ${v()} ${y()} ${C()} `}const sat=[5,10,15,20,50];function cat(t){const{_currentPageSize:o,_currentPageNumber:e,_filterVisibleRowIDs:s,rows:c,previousPageText:n,nextPageText:r,itemsPerPageText:a,getPaginationSupplementalText:d,getPaginationStatusText:l,_handlePageChangeEvent:v,_handlePageSizeChangeEvent:y}=t;if(!s||!s.size)return Mt``;const C=s.size,k=c.length,x=sat.filter(I=>I ${x.map(I=>Mt`${I}`)} ${k} `}function nat(t=5){return Mt` `}const q4=400,xO="cds-aichat-table";let Xs=class extends Bo{constructor(){super(...arguments),this.dark=!1,this._defaultPageSize=5,this._isValid=!0,this._currentPageNumber=1,this._currentPageSize=this.defaultPageSize,this._rowsPerPageChanged=!1,this._rowsWithIDs=[],this._handlePageChangeEvent=o=>{var e,s;this._updateVisibleRows((e=o.detail)==null?void 0:e.page,(s=o.detail)==null?void 0:s.pageSize),o.stopPropagation()},this._handlePageSizeChangeEvent=o=>{var e;this._rowsPerPageChanged=!0,this._currentPageSize=(e=o.detail)==null?void 0:e.pageSize,this._updateVisibleRows(),o.stopPropagation()},this._handleFilterEvent=o=>{var e;this._filterVisibleRowIDs=new Set((e=o==null?void 0:o.detail)==null?void 0:e.unfilteredRows.map(s=>s.id)),this._currentPageNumber=1,this._updateVisibleRows(),o.stopPropagation()}}get defaultPageSize(){return this._defaultPageSize}set 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o=this.parentElement.offsetWidth;o===0&&(o=q4-1),o>0&&(this.style.setProperty("--cds-chat-table-width",`${o}px`),this._defaultPageSize===5&&(this._defaultPageSize=o>q4?10:5,this._currentPageSize===5&&(this._currentPageSize=this._defaultPageSize)))}}updated(o){(o.has("headers")||o.has("rows"))&&this.headers!==void 0&&this.rows!==void 0&&this._calcIsTableValid(),o.has("rows")&&this.rows!==void 0&&(this._initializeRowsArrays(),this._setPageSize())}_calcIsTableValid(){const o=this.headers.length;this._isValid=!this.rows.some(e=>e.cells.length!==o)}_initializeRowsArrays(){this._rowsWithIDs=[],this._filterVisibleRowIDs=new Set,this.rows.forEach((o,e)=>{const s=e.toString();this._rowsWithIDs.push({...o,id:s}),this._filterVisibleRowIDs.add(s)})}_setPageSize(){this._allowFiltering=this.rows.length>this._currentPageSize,this._updateVisibleRows()}_updateVisibleRows(o=this._currentPageNumber,e=this._currentPageSize){var a;this._currentPageNumber=o;const 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    `;case"blockquote":return Mt`
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    `;case"pre":return Mt`
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    `;case"h5":return Mt`
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line-height:var(--cds-heading-05-line-height, 1.25); letter-spacing:var(--cds-heading-05-letter-spacing, 0); } h3{ font-size:var(--cds-heading-04-font-size, 1.75rem); font-weight:var(--cds-heading-04-font-weight, 400); line-height:var(--cds-heading-04-line-height, 1.28572); letter-spacing:var(--cds-heading-04-letter-spacing, 0); } h4{ font-size:var(--cds-heading-03-font-size, 1.25rem); font-weight:var(--cds-heading-03-font-weight, 400); line-height:var(--cds-heading-03-line-height, 1.4); letter-spacing:var(--cds-heading-03-letter-spacing, 0); } h5{ font-size:var(--cds-heading-02-font-size, 1rem); font-weight:var(--cds-heading-02-font-weight, 600); line-height:var(--cds-heading-02-line-height, 1.5); letter-spacing:var(--cds-heading-02-letter-spacing, 0); } h6{ font-size:var(--cds-heading-01-font-size, 0.875rem); font-weight:var(--cds-heading-01-font-weight, 600); line-height:var(--cds-heading-01-line-height, 1.42857); letter-spacing:var(--cds-heading-01-letter-spacing, 0.16px); } p{ font-size:var(--cds-body-02-font-size, 1rem); font-weight:var(--cds-body-02-font-weight, 400); line-height:var(--cds-body-02-line-height, 1.5); letter-spacing:var(--cds-body-02-letter-spacing, 0); } a{ color:var(--cds-link-primary, #0062fe); } em{ font-style:italic; } .cds--link{ box-sizing:border-box; padding:0; border:0; margin:0; font-family:inherit; font-size:100%; vertical-align:baseline; font-size:var(--cds-body-compact-01-font-size, 0.875rem); font-weight:var(--cds-body-compact-01-font-weight, 400); line-height:var(--cds-body-compact-01-line-height, 1.28572); letter-spacing:var(--cds-body-compact-01-letter-spacing, 0.16px); display:inline-flex; color:var(--cds-link-text-color, var(--cds-link-primary, #0f62fe)); outline:none; text-decoration:none; transition:color 70ms cubic-bezier(0.2, 0, 0.38, 0.9); } .cds--link *, .cds--link *::before, .cds--link *::after{ box-sizing:inherit; } .cds--link:hover{ color:var(--cds-link-hover-text-color, var(--cds-link-primary-hover, #0043ce)); text-decoration:underline; } .cds--link:active:not(.cds--link--disabled), .cds--link:active:visited, .cds--link:active:visited:hover{ outline:1px solid var(--cds-focus, #0f62fe); color:var(--cds-link-text-color, var(--cds-link-primary, #0f62fe)); outline-color:var(--cds-link-focus-text-color, var(--cds-focus, #0f62fe)); text-decoration:underline; } @media screen and (prefers-contrast){ .cds--link:active:not(.cds--link--disabled), .cds--link:active:visited, .cds--link:active:visited:hover{ outline-style:dotted; } } .cds--link:focus:not(.cds--link--disabled){ outline:1px solid var(--cds-focus, #0f62fe); outline-color:var(--cds-link-focus-text-color, var(--cds-focus, #0f62fe)); text-decoration:underline; } @media screen and (prefers-contrast){ .cds--link:focus:not(.cds--link--disabled){ outline-style:dotted; } } .cds--link:visited{ color:var(--cds-link-text-color, var(--cds-link-primary, #0f62fe)); } .cds--link:visited:hover{ color:var(--cds-link-hover-text-color, var(--cds-link-primary-hover, #0043ce)); } .cds--link--disabled, .cds--link--disabled:hover{ box-sizing:border-box; padding:0; border:0; margin:0; font-family:inherit; font-size:100%; vertical-align:baseline; font-size:var(--cds-body-compact-01-font-size, 0.875rem); font-weight:var(--cds-body-compact-01-font-weight, 400); line-height:var(--cds-body-compact-01-line-height, 1.28572); letter-spacing:var(--cds-body-compact-01-letter-spacing, 0.16px); color:var(--cds-text-disabled, rgba(22, 22, 22, 0.25)); cursor:not-allowed; font-weight:400; text-decoration:none; } .cds--link--disabled *, .cds--link--disabled *::before, .cds--link--disabled *::after, .cds--link--disabled:hover *, .cds--link--disabled:hover *::before, .cds--link--disabled:hover *::after{ box-sizing:inherit; } .cds--link.cds--link--visited:visited{ color:var(--cds-link-visited-text-color, var(--cds-link-visited, #8a3ffc)); } .cds--link.cds--link--visited:visited:hover{ color:var(--cds-link-hover-text-color, var(--cds-link-primary-hover, #0043ce)); } .cds--link.cds--link--inline{ display:inline; text-decoration:underline; } .cds--link--disabled.cds--link--inline{ text-decoration:underline; } .cds--link--sm, .cds--link--sm.cds--link--disabled:hover{ font-size:var(--cds-helper-text-01-font-size, 0.75rem); line-height:var(--cds-helper-text-01-line-height, 1.33333); letter-spacing:var(--cds-helper-text-01-letter-spacing, 0.32px); } .cds--link--lg, .cds--link--lg.cds--link--disabled:hover{ font-size:var(--cds-body-compact-02-font-size, 1rem); font-weight:var(--cds-body-compact-02-font-weight, 400); line-height:var(--cds-body-compact-02-line-height, 1.375); letter-spacing:var(--cds-body-compact-02-letter-spacing, 0); } .cds--link__icon{ display:inline-flex; align-self:center; margin-inline-start:0.5rem; } :host{ display:block; container-type:inline-size; inline-size:100%; max-inline-size:100%; } :host h1{ font-size:var(--cds-heading-06-font-size, 2.625rem); font-weight:var(--cds-heading-06-font-weight, 300); line-height:var(--cds-heading-06-line-height, 1.199); letter-spacing:var(--cds-heading-06-letter-spacing, 0); } :host h2{ font-size:var(--cds-heading-05-font-size, 2rem); font-weight:var(--cds-heading-05-font-weight, 400); line-height:var(--cds-heading-05-line-height, 1.25); letter-spacing:var(--cds-heading-05-letter-spacing, 0); } :host h3{ font-size:var(--cds-heading-04-font-size, 1.75rem); font-weight:var(--cds-heading-04-font-weight, 400); line-height:var(--cds-heading-04-line-height, 1.28572); letter-spacing:var(--cds-heading-04-letter-spacing, 0); } :host h4{ font-size:var(--cds-heading-03-font-size, 1.25rem); font-weight:var(--cds-heading-03-font-weight, 400); line-height:var(--cds-heading-03-line-height, 1.4); letter-spacing:var(--cds-heading-03-letter-spacing, 0); } :host h5{ font-size:var(--cds-heading-02-font-size, 1rem); font-weight:var(--cds-heading-02-font-weight, 600); line-height:var(--cds-heading-02-line-height, 1.5); 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    `}const Vat=`${g_}-tag-list`;let Y4=class extends pm{render(){return qat(this)}};Y4=ho([ta(Vat)],Y4);const Mp="cds-aichat-rounded-button",Gat=` .cds-custom--btn { border-start-start-radius: var(--${Mp}-top-left); border-start-end-radius: var(--${Mp}-top-right); border-end-start-radius: var(--${Mp}-bottom-left); border-end-end-radius: var(--${Mp}-bottom-right); width: var(--${Mp}-width); max-width: var(--${Mp}-max-width); }`;let bC=class extends zv{};bC.styles=ts` ${zv.styles} ${Jr(Gat)} `;bC=ho([ta(Mp)],bC);var Yat=`.cds--aichat-container{ box-sizing:border-box; border:1px solid var(--cds-chat-bubble-border, #e0e0e0); border-radius:var(--cds-chat-BASE-border-radius-med); animation:fade-in 600ms forwards; background-color:var(--cds-chat-shell-background, #ffffff); container-type:inline-size; inline-size:100%; margin-block-start:0.25rem; } .cds--aichat-is-closed{ display:none; } .cds--aichat-title-row{ display:flex; margin-block-start:0.75rem; margin-inline:1rem 0.5rem; } .cds--aichat-title{ flex:1; font-size:var(--cds-chat-BASE-font-size-xlarge); line-height:var(--cds-chat-BASE-line-height-xlarge); } .cds--aichat-close{ margin-inline-start:0.5rem; } .cds--aichat-disclaimer, .cds--aichat-prompt{ color:var(--cds-text-secondary, #525252); font-size:var(--cds-chat-BASE-font-size-small); line-height:var(--cds-chat-BASE-line-height-small); margin-block-start:0.5rem; margin-inline:1rem; } .cds--aichat-categories{ margin-block-start:0.5rem; margin-inline:1rem; } .cds--aichat-feedback-text{ margin-block-start:0.5rem; margin-inline:1rem; } .cds--aichat-buttons{ display:flex; inline-size:100%; margin-block-start:1rem; } .cds--aichat-submit{ flex:1; --cds-aichat-rounded-button-bottom-right:var( --cds-chat-BASE-border-radius-med ); --cds-aichat-rounded-button-width:100%; --cds-aichat-rounded-button-max-width:100%; } .cds--aichat-cancel{ flex:1; --cds-aichat-rounded-button-bottom-left:var( --cds-chat-BASE-border-radius-med ); --cds-aichat-rounded-button-width:100%; --cds-aichat-rounded-button-max-width:100%; } @keyframes fade-in{ from{ opacity:0; } to{ opacity:1; } }`;class Mc extends Bo{constructor(){super(...arguments),this.showTextArea=!0,this.showPrompt=!0,this._handleCategoryChange=o=>{this._selectedCategories=o}}updated(o){o.has("initialValues")&&this._setInitialValues(this.initialValues)}_setInitialValues(o){o&&(this._textInput=o.text,this._initialSelectedCategories=o.selectedCategories)}_handleTextInput(o){this._textInput=o.currentTarget.value}_handleSubmit(){var o;(o=this.onSubmit)==null||o.call(this,{text:this._textInput,selectedCategories:this._selectedCategories})}_handleCancel(){var o;(o=this.onClose)==null||o.call(this)}}Mc.styles=ts` ${Jr(Yat)} `;ho([gt({type:String,attribute:"class",reflect:!0})],Mc.prototype,"class",void 0);ho([gt({type:String,reflect:!0})],Mc.prototype,"id",void 0);ho([gt({type:Boolean,attribute:"is-open",reflect:!0})],Mc.prototype,"isOpen",void 0);ho([gt({type:Boolean,attribute:"is-readonly",reflect:!0})],Mc.prototype,"isReadonly",void 0);ho([gt({type:Object,attribute:"on-close"})],Mc.prototype,"onClose",void 0);ho([gt({type:Object,attribute:"on-submit"})],Mc.prototype,"onSubmit",void 0);ho([gt({type:Object,attribute:"initial-values",reflect:!0})],Mc.prototype,"initialValues",void 0);ho([gt({type:String,attribute:"title",reflect:!0})],Mc.prototype,"title",void 0);ho([gt({type:String,attribute:"prompt",reflect:!0})],Mc.prototype,"prompt",void 0);ho([gt({type:Object,attribute:"categories",reflect:!0})],Mc.prototype,"categories",void 0);ho([gt({type:String,attribute:"disclaimer",reflect:!0})],Mc.prototype,"disclaimer",void 0);ho([gt({type:String,attribute:"text-area-placeholder",reflect:!0})],Mc.prototype,"placeholder",void 0);ho([gt({type:String,attribute:"cancel-label",reflect:!0})],Mc.prototype,"cancelLabel",void 0);ho([gt({type:String,attribute:"submit-label",reflect:!0})],Mc.prototype,"submitLabel",void 0);ho([gt({type:Boolean,attribute:"show-text-area",reflect:!0})],Mc.prototype,"showTextArea",void 0);ho([gt({type:Boolean,attribute:"show-prompt",reflect:!0})],Mc.prototype,"showPrompt",void 0);ho([xs()],Mc.prototype,"_textInput",void 0);ho([xs()],Mc.prototype,"_initialSelectedCategories",void 0);ho([xs()],Mc.prototype,"_selectedCategories",void 0);const Xat=1e3;function Kat(t){const{_handleCancel:o,_handleSubmit:e,_handleTextInput:s,_initialSelectedCategories:c,_textInput:n,_handleCategoryChange:r,id:a,isReadonly:d,isOpen:l,title:v,prompt:y,placeholder:C,categories:k,disclaimer:x,showTextArea:I,showPrompt:O,submitLabel:j,cancelLabel:st}=t;return Mt`
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e.ui_state.id===v?(it=!0,C?(K=o9,pt=o.agent_cardButtonChatRequested,ot=g.createElement(kO,{availability:y,fallbackText:o.agent_connectWaiting})):(K=tC,pt=o.agent_cardButtonConnected,ot=o.agent_cardMessageConnected)):c?e.ui_state.wasHumanAgentChatEnded?(K=FQ,pt=o.agent_cardButtonChatEnded,ot=o.agent_cardMessageChatEnded):(K=tC,pt=o.agent_startChat):(K=BQ,pt=o.agent_startChat),g.createElement(ou,{className:"WACConnectToHumanAgent"},g.createElement("div",{className:"WACConnectToHumanAgent__Title"},g.createElement("span",null,o.agent_chatTitle)),g.createElement("div",{className:"WACConnectToHumanAgent__Text"},ot),g.createElement(Jc,{className:"WACConnectToHumanAgent__RequestButton",size:"md",disabled:it,onClick:O,renderIcon:K},pt),!it&&k&&g.createElement("div",{className:"WACConnectToHumanAgent__SuspendedWarning"},o.agent_suspendedWarning),x&&g.createElement(TO,{title:o.agent_confirmSuspendedEndChatTitle,message:o.agent_confirmSuspendedEndChatMessage,onConfirm:O,onCancel:()=>I(!1)}))}function oit(t){const{languagePack:o,localMessage:e,originalMessage:s,config:c,serviceManager:n,disableUserInputs:r,humanAgentState:a,requestFocus:d,agentDisplayState:l,persistedHumanAgentState:v}=t,y=r||!DN(c);return g.createElement("div",null,g.createElement(tit,{localMessage:e,originalMessage:s,languagePack:o,serviceManager:n,disableUserInputs:y,humanAgentState:a,persistedHumanAgentState:v,agentDisplayState:l,requestFocus:d}))}function eit(t){return Wo(e=>e.theme.theme)===Bs.CARBON_AI?g.createElement(eD,{...t}):g.createElement(tE,{...t})}function bS(t){return Wo(e=>e.theme.theme)===Bs.CARBON_AI?g.createElement(ME,{...t}):g.createElement(Qx,{...t})}function IO({title:t,description:o,displayURL:e,urlHostName:s,hideTitle:c}){return g.createElement("div",{className:"WACTextHolderTile"},g.createElement("div",{className:po("WACTextHolderTile__Wrapper","WACWidget__textEllipsis",{WACTextHolderTile__IconMargin:!e})},!c&&t&&g.createElement("div",{className:"WACTextHolderTile__Title"},t),o&&g.createElement("div",{className:po("WACTextHolderTile__Description",{WACTextHolderTile__DescriptionMargin:t})},o),e&&g.createElement(g.Fragment,null,g.createElement(Zi,null,s),g.createElement("div",{className:po("WACTextHolderTile__Url","WACWidget__textEllipsis",{WACTextHolderTile__UrlMargin:t||o}),"aria-hidden":!0},e))))}const sit=g.lazy(()=>Re(()=>import("./index-7KKzZJbI.js").then(t=>t.i),[]).then(t=>{let o=t.default??t;return o&&typeof o=="object"&&"default"in o&&(o=o.default),{default:o}}));function cit({type:t,source:o,title:e,description:s,ariaLabel:c,isMixcloud:n,baseHeight:r,doAutoScroll:a,playing:d,onPlay:l,onPause:v,hideIconAndTitle:y,needsAnnouncement:C}){const[k,x]=U.useState(!1),[I,O]=U.useState(!1),{errors_audioSource:j,errors_videoSource:st}=hs(),K=Iv(),pt=U.useRef(),it=U.useRef(null),ot=U.useRef(null),ft=n?"120px":CN(r),bt=t===Eo.AUDIO,mt=bt?j:st,_t=cd(o),vt=U.useRef(C),yt=U.useCallback(()=>{O(!0),x(!0)},[]);U.useEffect(()=>{o!==_t&&k&&x(!1)},[_t,k,o]),U.useLayoutEffect(()=>{it&&it.current.style.setProperty("padding-block-start",ft),ot&&ot.current.style.setProperty("padding-block-start",ft)},[ft]),U.useEffect(()=>{let rt=null;return k||(rt=setTimeout(yt,sS)),()=>{clearTimeout(rt)}},[k,yt]),U.useEffect(()=>{k&&vt.current&&K(pt.current)},[K,k]);const at=U.useCallback(()=>{k||(x(!0),a==null||a())},[a,k]);function q(){return 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margin-block-start:1rem; } :host([open]) .cds--aichat-chain-of-thought-content{ display:block; overflow:visible; max-block-size:-moz-fit-content; max-block-size:fit-content; opacity:1; } :host([open]) .cds--aichat-chain-of-thought-button-chevron svg{ transform:rotate(-90deg); } .cds--aichat-chain-of-thought-button-chevron{ display:flex; flex-basis:1.5rem; } @media screen and (prefers-reduced-motion: reduce){ .cds--aichat-chain-of-thought-button-chevron svg{ transform:rotate(-270deg); transition:none; } } .cds--aichat-chain-of-thought-button-chevron svg{ transform:rotate(-270deg); transition:all 110ms cubic-bezier(0.2, 0, 0.38, 0.9); } .cds--aichat-chain-of-thought-content{ display:none; overflow:hidden; max-block-size:0; opacity:0; transition:all 110ms cubic-bezier(0, 0, 0.38, 0.9) allow-discrete; } .cds--aichat-chain-of-thought-inner-content{ border:1px solid var(--cds-border-subtle-01, #c6c6c6); background-color:var(--cds-layer-01, #f4f4f4); margin-block-start:0.5rem; } .cds--aichat-chain-of-thought-item:not(:last-child){ padding-block-end:0.75rem; } .cds--aichat-chain-of-thought-item cds-aichat-markdown-text:not(:first-child){ padding-block-start:0.5rem; } .cds--aichat-chain-of-thought-item-label{ font-size:var(--cds-heading-01-font-size, 0.875rem); font-weight:var(--cds-heading-01-font-weight, 600); line-height:var(--cds-heading-01-line-height, 1.42857); letter-spacing:var(--cds-heading-01-letter-spacing, 0.16px); } button.cds--aichat-chain-of-thought-button{ box-sizing:border-box; padding:0; border:0; margin:0; font-family:inherit; font-size:100%; vertical-align:baseline; display:inline-block; padding:0; border:0; -webkit-appearance:none; -moz-appearance:none; appearance:none; background:none; cursor:pointer; text-align:start; inline-size:100%; font-size:var(--cds-heading-01-font-size, 0.875rem); font-weight:var(--cds-heading-01-font-weight, 600); line-height:var(--cds-heading-01-line-height, 1.42857); letter-spacing:var(--cds-heading-01-letter-spacing, 0.16px); display:flex; align-items:center; color:var(--cds-text-primary, #161616); } button.cds--aichat-chain-of-thought-button *, button.cds--aichat-chain-of-thought-button *::before, button.cds--aichat-chain-of-thought-button *::after{ box-sizing:inherit; } button.cds--aichat-chain-of-thought-button::-moz-focus-inner{ border:0; } button.cds--aichat-chain-of-thought-button:focus, button.cds--aichat-chain-of-thought-button:focus-visible{ outline:2px solid var(--cds-focus); } .cds--aichat-chain-of-thought-accordion-item-content{ display:block; overflow:visible; background:var(--cds-layer-01, #f4f4f4); color:var(--cds-text-primary, #161616); max-block-size:-moz-fit-content; max-block-size:fit-content; opacity:1; transition:all 110ms cubic-bezier(0, 0, 0.38, 0.9) allow-discrete; } .cds--aichat-chain-of-thought-item{ padding-block:1rem; padding-inline:2rem 1rem; } .cds--aichat-chain-of-thought-accordion-item-content[hidden]{ display:none; overflow:hidden; max-block-size:0; opacity:0; padding-block:0; padding-inline:0; } .cds--aichat-chain-of-thought-accordion-item-header-chevron{ display:flex; flex:0 1 2rem; justify-content:center; color:var(--cds-text-primary, #161616); } @media screen and (prefers-reduced-motion: reduce){ .cds--aichat-chain-of-thought-accordion-item-header-chevron svg{ fill:var(--cds-text-primary, #161616); transform:rotate(-270deg); transition:none; } } .cds--aichat-chain-of-thought-accordion-item-header-chevron svg{ fill:var(--cds-text-primary, #161616); transform:rotate(-270deg); transition:all 110ms cubic-bezier(0.2, 0, 0.38, 0.9); } .cds--aichat-chain-of-thought-accordion-item-header-chevron[data-open] svg{ transform:rotate(-90deg); } .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header{ box-sizing:border-box; padding:0; border:0; margin:0; font-family:inherit; font-size:100%; vertical-align:baseline; display:inline-block; padding:0; border:0; -webkit-appearance:none; -moz-appearance:none; appearance:none; background:none; cursor:pointer; text-align:start; inline-size:100%; font-size:var(--cds-body-01-font-size, 0.875rem); font-weight:var(--cds-body-01-font-weight, 400); line-height:var(--cds-body-01-line-height, 1.42857); letter-spacing:var(--cds-body-01-letter-spacing, 0.16px); display:flex; align-items:center; padding:0.5rem 0; background:var(--cds-layer-accent-02, #e0e0e0); block-size:2rem; } .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header *, .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header *::before, .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header *::after{ box-sizing:inherit; } .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header::-moz-focus-inner{ border:0; } .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header:focus, .cds--aichat-chain-of-thought-accordion-item button.cds--aichat-chain-of-thought-accordion-item-header:focus-visible{ position:relative; z-index:2; box-shadow:0 -1px 0 0 var(--cds-focus, #0f62fe), inset 0 1px 0 0 var(--cds-focus, #0f62fe), inset 2px 0 0 0 var(--cds-focus, #0f62fe), 0 1px 0 0 var(--cds-focus, #0f62fe), inset 0 -1px 0 0 var(--cds-focus, #0f62fe), inset -2px 0 0 0 var(--cds-focus, #0f62fe); outline:none; } .cds--aichat-chain-of-thought-accordion-item:nth-child(odd) button.cds--aichat-chain-of-thought-accordion-item-header{ background:var(--cds-layer-02, #ffffff); } .cds--aichat-chain-of-thought-accordion-item-header-title{ overflow:hidden; flex:1 1; color:var(--cds-text-primary, #161616); margin-inline-end:0.5rem; text-overflow:ellipsis; white-space:nowrap; } .cds--aichat-chain-of-thought-accordion-item-header-status{ display:flex; flex:0 0 1.5rem; align-items:center; justify-content:center; } .cds--aichat-chain-of-thought-accordion-item-header-status--failure{ display:flex; align-items:center; justify-content:center; margin-inline-end:0.5rem; } .cds--aichat-chain-of-thought-accordion-item-header-status--failure svg{ fill:var(--cds-support-error, #da1e28); } .cds--aichat-chain-of-thought-accordion-item-header-status--success{ display:flex; align-items:center; justify-content:center; margin-inline-end:0.5rem; } .cds--aichat-chain-of-thought-accordion-item-header-status--success svg{ fill:var(--cds-support-success, #24a148); }`;const ldt=hct("chainOfThought_stepTitle");class Tn extends Bo{constructor(){super(...arguments),this.open=!1,this.formatStepLabelText=({stepNumber:o,stepTitle:e})=>ldt.format({stepNumber:o,stepTitle:e||""}),this.inputLabelText=dn.chainOfThought_inputLabel,this.outputLabelText=dn.chainOfThought_outputLabel,this.toolLabelText=dn.chainOfThought_toolLabel,this.explainabilityText=dn.chainOfThought_explainabilityLabel,this.statusSucceededLabelText=dn.chainOfThought_statusSucceededLabel,this.statusFailedLabelText=dn.chainOfThought_statusFailedLabel,this.statusProcessingLabelText=dn.chainOfThought_statusProcessingLabel,this._chainOfThoughtPanelID=`${Ue}-chain-of-thought-panel-id-${ln()}`}firstUpdated(o){this._steps=this.steps.map(e=>({...e,open:!1}))}updated(o){o.has("steps")&&(this._steps=this.steps.map((e,s)=>{var c;return{...e,open:(c=this._steps[s])==null?void 0:c.open}}))}}Tn.styles=ts` ${Jr(udt)} `;ho([gt({type:Boolean,attribute:"open",reflect:!0})],Tn.prototype,"open",void 0);ho([gt({type:Array,attribute:"steps",reflect:!0})],Tn.prototype,"steps",void 0);ho([gt({type:Function,attribute:!1})],Tn.prototype,"formatStepLabelText",void 0);ho([gt({type:String,attribute:"input-label-text",reflect:!0})],Tn.prototype,"inputLabelText",void 0);ho([gt({type:String,attribute:"output-label-text",reflect:!0})],Tn.prototype,"outputLabelText",void 0);ho([gt({type:String,attribute:"tool-label-text",reflect:!0})],Tn.prototype,"toolLabelText",void 0);ho([gt({type:String,attribute:"explainability-text",reflect:!0})],Tn.prototype,"explainabilityText",void 0);ho([gt({type:Function,attribute:!1})],Tn.prototype,"onToggle",void 0);ho([gt({type:Function,attribute:!1})],Tn.prototype,"onStepToggle",void 0);ho([gt({type:String,attribute:"status-succeeded-label-text",reflect:!0})],Tn.prototype,"statusSucceededLabelText",void 0);ho([gt({type:String,attribute:"status-failed-label-text",reflect:!0})],Tn.prototype,"statusFailedLabelText",void 0);ho([gt({type:String,attribute:"status-processing-label-text",reflect:!0})],Tn.prototype,"statusProcessingLabelText",void 0);ho([xs()],Tn.prototype,"_steps",void 0);ho([xs()],Tn.prototype,"_chainOfThoughtPanelID",void 0);const Zu=`${Ue}-chain-of-thought-item`,_C=`${Ue}-chain-of-thought-accordion-item-header-status`,FO=rd(YD),pdt=rd(s9),mdt=rd(c9);function hdt(t,o,e,s){switch(t){case Uh.PROCESSING:return Mt``;case Uh.FAILURE:return Mt`${cu(mdt)}`;default:return Mt`${cu(pdt)}`}}function s8(t,o,e){const s=Eit(t);return s?vdt(s,o,e):Mt``}function vdt(t,o,e){return Mt`
    ${o}
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    `:null} ${o.tool_name?Mt`
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rt(Bt);case Eo.AUDIO:return H(Bt);case Eo.DATE:return V(Bt);case Eo.CONVERSATIONAL_SEARCH:return nt(Bt,qt);case Eo.TABLE:return Ut(Bt);case Eo.CARD:return ht(Bt,qt);case Eo.CAROUSEL:return Ot(Bt,qt);case Eo.BUTTON:return Nt(Bt,qt);case Eo.GRID:return Qt(Bt,qt);default:return M(Bt,qt)}}function vt(Bt,qt,_o){return t.isNestedMessageItem?yt(Bt,_o,qt):g.createElement("div",null,yt(Bt,_o,qt))}function yt(Bt,qt,_o){var so;return g.createElement(adt,{text:Bt.item.text,streamingState:Bt.ui_state.streamingState,isStreamingError:((so=_o==null?void 0:_o.history)==null?void 0:so.error_state)===fc.FAILED_WHILE_STREAMING,removeHTML:qt,doAutoScroll:t.doAutoScroll})}function at(Bt,qt){const{languagePack:_o,requestInputFocus:so,serviceManager:Do,disableUserInputs:re,isMessageForInput:ye}=t,_e=!!Bt.item.agent_message_type;return 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g.createElement(yit,{localMessageItem:Bt,fullMessage:qt,isMessageForInput:_o,requestFocus:so,renderMessageComponent:Do=>g.createElement(Gf,{...Do})})}function Qt(Bt,qt){return g.createElement(Yit,{localMessageItem:Bt,originalMessage:qt,renderMessageComponent:_o=>g.createElement(Gf,{..._o})})}function Ut(Bt){return g.createElement(rdt,{tableItem:Bt.item})}function Ht(Bt,qt){Bt&&setTimeout(()=>{t.scrollElementIntoView(qt,64,64)})}function Gt({stepNumber:Bt,stepTitle:qt}){return r.formatMessage({id:"chainOfThought_stepTitle"},{stepNumber:Bt,stepTitle:qt})}function ro(Bt,qt){var so;const _o=(so=qt.message_options)==null?void 0:so.chain_of_thought;return!_o||t.isNestedMessageItem?!1:(console.log("renderChainOfThought",_o),g.createElement(xdt,{steps:_o,onToggle:Ht,onStepToggle:Ht,formatStepLabelText:Gt,explainabilityText:a.chainOfThought_explainabilityLabel,inputLabelText:a.chainOfThought_inputLabel,outputLabelText:a.chainOfThought_outputLabel,toolLabelText:a.chainOfThought_toolLabel}))}function to(Bt,qt){var gs;const _o=((gs=Bt.item.message_item_options)==null?void 0:gs.feedback)||{},{id:so,is_on:Do,show_positive_details:re=!0,show_negative_details:ye=!0,show_text_area:_e=!0,show_prompt:Fo=!0,title:le,prompt:Kt,categories:vo,placeholder:jo,disclaimer:ee}=_o;if(t.isNestedMessageItem||e||!o&&!x||!Do)return!1;function pe(Jo){if(so){const xe={feedback:{[so]:Jo}};s.store.dispatch(ao.mergeMessageHistory(Bt.fullMessageID,xe))}}function Xe(Jo){const xe=Jo?!st:!pt,ge=(Jo?re:ye)&&xe;xe&&!ge?(pe({is_positive:Jo}),ft(!0),s.fire({type:Pe.FEEDBACK,messageItem:Bt.item,message:qt,interactionType:Hh.SUBMITTED,isPositive:Jo})):(j(ge),ge&&setTimeout(()=>{t.scrollElementIntoView(d.current,48,56)}),s.fire({type:Pe.FEEDBACK,messageItem:Bt.item,message:qt,interactionType:ge?Hh.DETAILS_OPENED:Hh.DETAILS_CLOSED,isPositive:Jo})),K(Jo?xe:!1),it(Jo?!1:xe)}function Ke(Jo,xe){ft(!0),j(!1);const ge={type:Pe.FEEDBACK,messageItem:Bt.item,message:qt,interactionType:Hh.SUBMITTED,isPositive:Jo,text:xe.text,categories:xe.selectedCategories};s.fire(ge),pe({is_positive:ge.isPositive,text:ge.text,categories:ge.categories})}function vs(Jo){const xe=O&&(Jo?st:pt);let ge;return Array.isArray(vo)?ge=vo:Jo?ge=vo==null?void 0:vo.positive:ge=vo==null?void 0:vo.negative,g.createElement(Jat,{class:`${Ue}-feedbackDetails-${Jo?"positive":"negative"}`,id:`${k}-feedback-${Jo?"positive":"negative"}`,isOpen:xe,isReadonly:ot,onClose:()=>Xe(Jo),onSubmit:_s=>Ke(Jo,_s),initialValues:x&&(x==null?void 0:x.is_positive)===Jo?I:null,showTextArea:_e,showPrompt:Fo,title:le||a.feedback_defaultTitle,prompt:Kt||a.feedback_defaultPrompt,categories:ge,placeholder:jo||a.feedback_defaultPlaceholder,disclaimer:ee,submitLabel:a.feedback_submitLabel,cancelLabel:a.feedback_cancelLabel})}return g.createElement("div",{className:"WAC__received--feedback"},g.createElement(Uat,{isPositiveOpen:O&&st,isNegativeOpen:O&&pt,isPositiveSelected:st,isNegativeSelected:pt,hasPositiveDetails:re,hasNegativeDetails:ye,isPositiveDisabled:pt||ot,isNegativeDisabled:st||ot,positiveLabel:a.feedback_positiveLabel,negativeLabel:a.feedback_negativeLabel,panelID:k,onClick:Xe}),g.createElement("div",{ref:d},vs(!0),vs(!1)))}return bt(t.message,t.originalMessage)}var Fr;(function(t){t[t.FIRST=1]="FIRST",t[t.LAST=2]="LAST",t[t.NEXT=3]="NEXT",t[t.PREVIOUS=4]="PREVIOUS",t[t.INPUT=5]="INPUT"})(Fr||(Fr={}));class _dt extends U.PureComponent{constructor(){super(...arguments),this.state={didRenderErrorOccur:!1,focusHandleHasFocus:!1},this.ref=g.createRef(),this.messageRef=g.createRef(),this.focusHandleRef=g.createRef(),this.getLocalMessage=()=>this.props.localMessageItem,this.onHandleFocus=()=>{this.setState({focusHandleHasFocus:!0})},this.onHandleBlur=()=>{this.setState({focusHandleHasFocus:!1})},this.onHandleKeyDown=o=>{if(o.altKey||o.metaKey||o.ctrlKey||o.shiftKey)return;let e;if(o.key==="ArrowUp")e=Fr.PREVIOUS;else if(o.key==="ArrowDown")e=Fr.NEXT;else if(o.key==="Home")e=Fr.FIRST;else if(o.key==="End")e=Fr.LAST;else if(o.key==="Escape")e=Fr.INPUT;else if(o.key==="Enter"||o.key===" "){o.preventDefault(),this.reAnnounceFocusHandle();return}e&&(o.preventDefault(),this.props.requestMoveFocus(e,this.props.messagesIndex))}}getWidgetSaidMessage(){const{intl:o,botName:e,localMessageItem:s}=this.props;let c;return s.item.agent_message_type?s.item.response_type===Eo.TEXT&&(c="messages_agentSaid"):c="messages_botSaid",c?o.formatMessage({id:c},{botName:e}):null}componentDidCatch(o,e){this.props.serviceManager.actions.errorOccurred(nS("Message",o,e)),this.setState({didRenderErrorOccur:!0})}componentDidMount(){const o=this.props.localMessageItem.ui_state;o.needsAnnouncement&&(this.props.ariaAnnouncer(this.ref.current),this.props.serviceManager.store.dispatch(ao.setMessageWasAnnounced(o.id)))}componentDidUpdate(){const o=this.props.localMessageItem.ui_state;o.needsAnnouncement&&(this.props.ariaAnnouncer(this.ref.current),this.props.serviceManager.store.dispatch(ao.setMessageWasAnnounced(o.id)))}shouldRenderFailedMessage(){var s;if(this.state.didRenderErrorOccur)return!0;const{localMessageItem:o,message:e}=this.props;return MN(o.item)&&((s=e.ui_state_internal)==null?void 0:s.agent_no_service_desk)}reAnnounceFocusHandle(){const o=this.focusHandleRef.current;o&&this.props.ariaAnnouncer(o.getAttribute("aria-label"))}requestHandleFocus(){const{languagePack:o,intl:e,message:s,botName:c}=this.props,r=[Zr(s)?o.messages_youSaid:e.formatMessage({id:"messages_botSaid"},{botName:c})];Ex(this.messageRef.current,r),this.focusHandleRef.current.setAttribute("aria-label",r.join(" ")),ga(this.focusHandleRef,!0)}renderFailedRenderMessage(){const{messagesIndex:o}=this.props;return g.createElement("div",{className:`WAC__message WAC__message--inlineError WAC__message-${o} ${this.props.className||""}`,ref:this.ref},g.createElement("div",{className:"WAC__message--padding"},g.createElement("div",{className:"WAC__bot-message"},g.createElement(Zi,null,this.getWidgetSaidMessage()),g.createElement("div",{className:"WAC__received WAC__message-vertical-padding WAC__received--text"},g.createElement(ei,{text:this.props.languagePack.errors_singleMessage})))))}renderAvatarLine(o,e){var k;let s;const{languagePack:c,botName:n,botAvatarURL:r,useAITheme:a,carbonTheme:d}=this.props,l=Oat(e.history.timestamp);let v,y,C="";if(bn(e)){const x=o.item.agent_message_type,I=((k=e.message_options)==null?void 0:k.response_user_profile)||{id:"watsonx",nickname:"watsonx",user_type:Gd.WATSONX};if(c8(x))return null;const O=x===rs.FROM_HUMAN_AGENT;if(I.profile_picture_url&&I.user_type!==Gd.WATSONX)s=g.createElement(G4,{url:I==null?void 0:I.profile_picture_url,alt:O?c.agent_ariaResponseUserAvatar:c.agent_ariaGenericAvatar,fallback:g.createElement(V4,{icon:g.createElement(tC,null)})}),C="WACMessage__Avatar--agent",y=(I==null?void 0:I.nickname)||"";else{y=(I==null?void 0:I.nickname)||n;let j=g.createElement(V4,{icon:g.createElement(zQ,null)});a&&I.user_type===Gd.WATSONX&&(j=g.createElement(Dat,{theme:d})),s=g.createElement(G4,{url:r,alt:c.agent_ariaGenericBotAvatar,fallback:j}),I.user_type===Gd.HUMAN&&(s=g.createElement(bO,{responseUserProfile:I,languagePack:c,width:"32px",height:"32px"})),C="WACMessage__Avatar--bot"}v=g.createElement("span",{"data-wac-exclude-node-read":!0},g.createElement(_1,{id:"message_labelBot",values:{timestamp:l,actorName:y}}))}else v=g.createElement(_1,{id:"message_labelYou",values:{timestamp:l}});return g.createElement("div",{className:"WACMessage__AvatarLine",key:`${e.id}-avatar-line`},s&&g.createElement("div",{className:`WACMessage__Avatar ${C}`},s),g.createElement("div",{className:"WACMessage__Label"},v))}renderMessageState(o){var d,l;const{languagePack:e}=this.props;let s,c,n=!1;const r=(d=o.history)==null?void 0:d.error_state,a=(l=o.history)==null?void 0:l.file_upload_status;return r===fc.FAILED?(s=g.createElement(ei,{text:e.errors_singleMessage}),c="WAC__message-error-failed",n=!0):a===qr.UPLOADING?(s=g.createElement($b,{withOverlay:!1,small:!0,"aria-label":e.fileSharing_statusUploading}),c="WAC__message-status-file-uploading"):a==="success"&&(s=g.createElement(TQ,{"aria-label":e.fileSharing_statusUploading}),c="WAC__message-status-file-success"),s&&{element:g.createElement("div",{className:`WAC__message-status ${c}`},s),showBelowMessage:n}}renderFocusHandle(){return g.createElement("div",{className:"WACMessage--focusHandle",ref:this.focusHandleRef,tabIndex:-1,onFocus:this.onHandleFocus,onBlur:this.onHandleBlur,onKeyDown:o=>this.onHandleKeyDown(o),onClick:()=>this.reAnnounceFocusHandle(),role:"button"})}render(){var H,V,M;if(this.shouldRenderFailedMessage())return this.renderFailedRenderMessage();const{serviceManager:o,config:e,localMessageItem:s,message:c,languagePack:n,requestInputFocus:r,messagesIndex:a,disableUserInputs:d,showAvatarLine:l,className:v,doAutoScroll:y,isMessageForInput:C,scrollElementIntoView:k,isFirstMessageItem:x,isLastMessageItem:I,hideFeedback:O,allowNewFeedback:j}=this.props,{isIntermediateStreaming:st,isWelcomeResponse:K,disableFadeAnimation:pt}=s.ui_state,it=s.item,ot=it.response_type,ft=it.agent_message_type,bt=(H=c.ui_state_internal)==null?void 0:H.from_history,mt=x;if(st&&!kdt(it.response_type))return!1;const _t=g.createElement(Gf,{serviceManager:o,languagePack:n,requestInputFocus:r,message:s,originalMessage:c,disableUserInputs:d,isMessageForInput:C,config:e,doAutoScroll:y,scrollElementIntoView:k,showChainOfThought:I,hideFeedback:O,allowNewFeedback:j}),vt=bx(s.item),yt=K||pt,at=ft?wdt(ft,ot,vt):null,q=Zr(c),Z=c8(s.item.agent_message_type);let P=!1;zN(s.item)&&!s.item.title&&!s.item.description&&(P=!0);let rt;return q&&(rt=this.renderMessageState(c)),g.createElement("div",{id:`WAC__message-${a}${o.namespace.suffix}`,className:po(`WAC__message WAC__message-${a}`,v,ft&&"WAC__message--agentMessage",{"WAC__message--withAvatarLine":l,"WAC__message--request":q,"WAC__message--systemMessage":Z,"WAC__message--response":!q,"WAC__message--no-animation":yt,"WAC__message--custom":vt,"WAC__message--disabled-inputs":d,"WAC__message--has-focus":this.state.focusHandleHasFocus,"WAC__message--option-response-without-title-or-description":P}),ref:this.ref},this.renderFocusHandle(),l&&this.renderAvatarLine(s,c),g.createElement("div",{className:"WAC__message--padding"},bn(c)&&g.createElement("div",{className:"WAC__bot-message"},mt&&g.createElement(Zi,null,this.getWidgetSaidMessage()),g.createElement("div",{className:po("WAC__received","WAC__message-vertical-padding",at,{"WAC__received--fromHuman":!ft&&((M=(V=c.message_options)==null?void 0:V.response_user_profile)==null?void 0:M.user_type)===Gd.HUMAN,"WAC__received--text":ot===Eo.TEXT,"WAC__received--image":ot===Eo.IMAGE,"WAC__received--options":ot===Eo.OPTION,"WAC__received--inlineError":ot===Eo.INLINE_ERROR,"WAC__received--iframePreviewCard":ot===Eo.IFRAME,"WAC__received--video":ot===Eo.VIDEO,"WAC__received--audio":ot===Eo.AUDIO,"WAC__received--date":ot===Eo.DATE,"WAC__received--card":ot===Eo.CARD,"WAC__received--carousel":ot===Eo.CAROUSEL,"WAC__received--conversationalSearch":ot===Eo.CONVERSATIONAL_SEARCH,"WAC__received--carouselSingle":Tct(s.item),"WAC__received--button":ot===Eo.BUTTON,"WAC__received--grid":ot===Eo.GRID,"WAC__received--fullWidth":Ict(s.item),"WAC__message--historical":bt}),ref:this.messageRef},g.createElement("div",{className:"WAC__received--inner"},_t))),q&&g.createElement("div",{className:"WAC__sent-container"},g.createElement("div",{className:po("WAC__sentAndMessageState-container","WAC__message-vertical-padding",{"WAC__sentAndMessageState--belowMessage":rt==null?void 0:rt.showBelowMessage})},!(rt!=null&&rt.showBelowMessage)&&(rt==null?void 0:rt.element),g.createElement("div",{className:"WAC__sent"},g.createElement(Zi,null,n.messages_youSaid),g.createElement("div",{className:"WAC__sent--bubble"},g.createElement("div",{ref:this.messageRef},_t))),(rt==null?void 0:rt.showBelowMessage)&&(rt==null?void 0:rt.element)))))}}function wdt(t,o,e){if(t&&e)return"WAC__received--agentCustom";if(!o||o!==Eo.TEXT&&o!==Eo.BUTTON)return"";switch(t){case null:case void 0:case rs.FROM_USER:return null;case rs.RELOAD_WARNING:case rs.DISCONNECTED:return"WAC__received--chatStatusMessage";case rs.FROM_HUMAN_AGENT:return"WAC__received--fromHuman";default:return"WAC__received--agentStatusMessage"}}function c8(t){switch(t){case null:case void 0:case rs.FROM_USER:case rs.RELOAD_WARNING:case rs.DISCONNECTED:case rs.FROM_HUMAN_AGENT:case rs.INLINE_ERROR:return!1;default:return!0}}function kdt(t){switch(t){case Eo.IMAGE:case Eo.VIDEO:case Eo.AUDIO:case Eo.OPTION:case Eo.IFRAME:case Eo.INLINE_ERROR:case Eo.CONVERSATIONAL_SEARCH:case Eo.USER_DEFINED:case Eo.TEXT:return!0;default:return!1}}var Cdt=gO(eR(_dt,{forwardRef:!0}));class Edt extends U.PureComponent{constructor(){super(...arguments),this.state={scrollHandleHasFocus:!1,scrollDown:!1},this.messageRefs=new Map,this.messagesContainerWithScrollingRef=g.createRef(),this.scrollHandleRef=g.createRef(),this.agentBannerRef=g.createRef(),this.shouldScrollToMessage=(o,e)=>{var s,c,n;return(s=e==null?void 0:e.ui_state_internal)!=null&&s.from_history?!0:Zr(e)?!((c=e==null?void 0:e.history)!=null&&c.silent):bn(e)?(this.renderScrollDownNotification(),!((n=e==null?void 0:e.history)!=null&&n.silent)):!1},this.onResize=()=>{if(this.renderScrollDownNotification(),this.props.messageState.isScrollAnchored){const o=this.messagesContainerWithScrollingRef.current;o&&(o.scrollTop=o.scrollHeight)}this.doAutoScroll()},this.doAutoScroll=U1((o={})=>{var s,c,n;let e=o.preferAnimate||!1;try{Ip("[doAutoScroll] Running doAutoScroll",o);const{scrollToTop:r,scrollToBottom:a}=o,{localMessageItems:d,messageState:l,allMessagesByID:v}=this.props,{isLoadingCounter:y}=l,{isHumanAgentTyping:C}=Ya(this.props),k=this.messagesContainerWithScrollingRef.current;if(r!==void 0){Rp(k,r,0);return}if(a!==void 0){const st=k.scrollHeight-k.offsetHeight-a;Rp(k,st,0,e);return}let x;const I=d.length-1,O=d.length?d[I]:null,j=v[O==null?void 0:O.fullMessageID];if(!O)Ip("[doAutoScroll] No last time"),x=0;else if(y>0||C)x=k.scrollHeight,Ip("[doAutoScroll] isLoading visible",y);else{let st=d.length-1,K=d[st],pt=this.messageRefs.get(K.ui_state.id);for(;st>=1;){K=d[st];const it=v[K==null?void 0:K.fullMessageID];if(!((K==null?void 0:K.fullMessageID)===((s=d[st-1])==null?void 0:s.fullMessageID))&&this.shouldScrollToMessage(K,it)){pt=this.messageRefs.get(K.ui_state.id),Ip(`[doAutoScroll] lastScrollableMessageComponent=${st}`,d[st],it);break}st--}if(pt){const it=(c=pt.ref.current)==null?void 0:c.offsetTop;x=it+oct,Ip(`[doAutoScroll] Scrolling to message offsetTop=${it}`)}else x=-1,Ip("[doAutoScroll] No message found")}x!==-1&&x>=k.scrollTop&&((n=j==null?void 0:j.ui_state_internal)!=null&&n.from_history&&(e=!1),Ip("[doAutoScroll] doScrollElement",k,x),Rp(k,x,0),this.checkScrollAnchor(!0,x))}catch(r){ue("An error occurred while attempting to scroll.",r)}},ect),this.getContainerScrollBottom=()=>{var o;return Trt((o=this.messagesContainerWithScrollingRef)==null?void 0:o.current)},this.scrollElementIntoView=(o,e=8,s=8,c=!1)=>{const n=this.messagesContainerWithScrollingRef.current,r=n.getBoundingClientRect(),a=o.getBoundingClientRect(),d=a.top-r.top+n.scrollTop-e,l=a.bottom-r.top+n.scrollTop+s,v=o.offsetHeight+e+s;dn.offsetHeight?Rp(n,d,0):l>n.scrollTop+n.offsetHeight&&Rp(n,l-n.offsetHeight,0,c)},this.requestMoveFocus=(o,e)=>{if(o===Fr.INPUT)this.props.requestInputFocus();else{const{localMessageItems:s}=this.props;let c;switch(o){case Fr.LAST:c=s.length-1;break;case Fr.NEXT:c=e+1,c>=s.length&&(c=0);break;case Fr.PREVIOUS:c=e-1,c<0&&(c=s.length-1);break;default:c=0;break}const n=s[c],r=this.messageRefs.get(n==null?void 0:n.ui_state.id);r&&r.requestHandleFocus()}}}componentDidMount(){this.scrollPanelObserver=new ResizeObserver(this.onResize),this.scrollPanelObserver.observe(this.messagesContainerWithScrollingRef.current),this.previousScrollOffsetHeight=this.messagesContainerWithScrollingRef.current.offsetHeight}componentDidUpdate(o){const e=this.props,s=o.localMessageItems.length!==e.localMessageItems.length,c=Ya(o),n=Ya(e),r=o.messageState.isLoadingCounter!==e.messageState.isLoadingCounter||c.isHumanAgentTyping!==n.isHumanAgentTyping;if(s||r){const a=Wh(e.localMessageItems),d=Wh(o.localMessageItems);(a!==d||r)&&this.doAutoScroll()}}componentWillUnmount(){this.scrollPanelObserver.unobserve(this.messagesContainerWithScrollingRef.current)}checkScrollAnchor(o,e){const s=this.messagesContainerWithScrollingRef.current;if(o||this.previousScrollOffsetHeight===s.offsetHeight&&!this.props.suspendScrollDetection){const n=(e!==void 0?e:s.scrollTop)>=s.scrollHeight-s.offsetHeight;n!==this.props.messageState.isScrollAnchored&&this.props.serviceManager.store.dispatch(ao.setChatMessagesStateProperty("isScrollAnchored",n))}this.previousScrollOffsetHeight=s.offsetHeight}requestHumanAgentBannerFocus(){return this.agentBannerRef.current?this.agentBannerRef.current.requestFocus():!1}doScrollToMessage(o,e=!1){try{const{localMessageItems:s}=this.props;let c;for(let n=0;n<=s.length;n++){const r=s[n];if(r.fullMessageID===o){c=this.messageRefs.get(r.ui_state.id);break}}if(c){const n=this.messagesContainerWithScrollingRef.current,r=c.ref.current.offsetTop;Rp(n,r,0,e),this.checkScrollAnchor(!0,r)}}catch(s){ue("An error occurred while attempting to scroll.",s)}}checkMessagesOutOfView(){const o=this.messagesContainerWithScrollingRef.current;return o.scrollHeight-o.scrollTop-o.clientHeight>60}renderScrollDownNotification(){const o=this.checkMessagesOutOfView();this.setState({scrollHandleHasFocus:!1,scrollDown:o})}getLastOutputMessageElements(){var n;const{localMessageItems:o,allMessagesByID:e}=this.props,s=Wh(o),c=e[s==null?void 0:s.fullMessageID];if(bn(c)){const r=[];let a=!1;for(let d=o.length-1;d>=0;d--){const l=o[d],v=this.messageRefs.get(l==null?void 0:l.ui_state.id);if(v){const{getLocalMessage:y}=v;if(y().fullMessageID===c.id){a=!0;const C=(n=v.ref)==null?void 0:n.current;if(C)r.push(C);else break}else if(a)break}}return r.reverse()}return[]}renderTypingIndicator(o,e){return g.createElement("div",{className:`WAC__message WAC__message-${e} WAC__message--lastMessage`},g.createElement("div",{className:"WAC__message--padding"},o&&g.createElement(CO,{message:o}),g.createElement("div",{className:"WAC__bot-message"},g.createElement("div",{className:"WAC__received WAC__received--loading WAC__message-vertical-padding"},g.createElement("div",{className:"WAC__received--inner"},g.createElement(Jrt,{loop:!0,carbonTheme:this.props.carbonTheme}))))))}renderMessage(o,e,s,c,n,r,a,d){var Z;const{serviceManager:l,config:v,languagePack:y,requestInputFocus:C,persistedToBrowserStorage:k,botName:x,messageState:I,locale:O,botAvatarURL:j,carbonTheme:st,useAITheme:K}=this.props,pt=vv(this.props),{isHumanAgentTyping:it}=Ya(this.props),{isLoadingCounter:ot}=I,{chatState:ft}=k,{disclaimersAccepted:bt}=ft;if((Z=v.public.disclaimer)!=null&&Z.is_on&&!bt[window.location.hostname])return null;const mt=this.props.localMessageItems.length+(ot>0||it?1:0),_t=s===mt-1,vt=po({"WAC__message--firstMessage":s===0,"WAC__message--lastMessage":_t}),yt=o.fullMessageID===d,at=o.ui_state.id,q=g.createElement(Cdt,{ref:P=>{P?this.messageRefs.set(at,P):this.messageRefs.delete(at)},className:vt,config:v,localMessageItem:o,message:e,languagePack:y,requestInputFocus:C,serviceManager:l,messagesIndex:s,botName:x,disableUserInputs:pt.isReadonly,isMessageForInput:n,showAvatarLine:r,botAvatarURL:j,requestMoveFocus:this.requestMoveFocus,doAutoScroll:this.doAutoScroll,scrollElementIntoView:this.scrollElementIntoView,isFirstMessageItem:r,isLastMessageItem:a,locale:O,carbonTheme:st,useAITheme:K,allowNewFeedback:yt,hideFeedback:!1});return c?g.createElement(Iat,{welcomeNodeBeforeElement:l.writeableElements[Yc.WELCOME_NODE_BEFORE_ELEMENT],key:at},q):g.createElement(U.Fragment,{key:at},q)}renderHumanAgentBanner(){return 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this.props.serviceManager.actions.restartConversation(),this.requestFocus()},this.onClose=async()=>this.doClose(!1),this.onCloseAndRestart=async()=>this.doClose(!0),this.onToggleHomeScreen=()=>{this.props.serviceManager.store.dispatch(ao.toggleHomeScreen())},this.requestFocus=()=>{try{this.state.shouldAutoFocus&&!Jd&&(this.getShowDisclaimer()?this.disclaimerRef.current&&ga(this.disclaimerRef):this.getShowHomeScreen()?this.homeScreenInputRef.current&&this.homeScreenInputRef.current.takeFocus():this.props.iFramePanelState.isOpen?this.iframePanelRef.current&&this.iframePanelRef.current.requestFocus():this.botChatRef.current&&this.botChatRef.current.requestInputFocus())}catch(o){ue("An error occurred in 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g.createElement(Xu,{animationOnOpen:dr.NONE,animationOnClose:jr.NONE,shouldOpen:!0,serviceManager:o,overlayPanelName:Lc.CATASTROPHIC},g.createElement(UO,{onClose:this.onClose,headerDisplayName:c,languagePack:s,onRestart:this.onRestart,showHeader:!0,botName:e}))}renderDisclaimerPanel(){var c,n;const{serviceManager:o,config:e}=this.props,s=this.getShowDisclaimer();return(c=e.public.disclaimer)!=null&&c.is_on?g.createElement(Xu,{onOpenStart:()=>this.onPanelOpenStart(!1),onCloseStart:this.onPanelCloseStart,onOpenEnd:this.onPanelOpenEnd,onCloseEnd:()=>this.onPanelCloseEnd(!1),animationOnOpen:dr.FADE_IN,animationOnClose:jr.FADE_OUT,shouldOpen:s,serviceManager:o,overlayPanelName:Lc.DISCLAIMER},g.createElement(mut,{onAcceptDisclaimer:this.onAcceptDisclaimer,onClose:this.onClose,disclaimerHTML:(n=e.public.disclaimer)==null?void 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g.createElement(Xu,{className:"WAC__overlay--covering",onOpenStart:()=>this.onPanelOpenStart(!0),onCloseStart:this.onPanelCloseStart,onOpenEnd:this.onPanelOpenEnd,onCloseEnd:()=>this.onPanelCloseEnd(!0),animationOnOpen:dr.SLIDE_IN_FROM_BOTTOM,animationOnClose:jr.SLIDE_OUT_TO_BOTTOM,shouldOpen:e.isOpen,serviceManager:o,overlayPanelName:Lc.IFRAME},g.createElement(but,{useAITheme:this.props.theme.theme===Bs.CARBON_AI,ref:this.iframePanelRef,onClickClose:this.onClose,onClickRestart:this.onRestart,onClickCloseAndRestart:this.onCloseAndRestart}))}renderViewSourcePanel(){const{serviceManager:o,viewSourcePanelState:e}=this.props;return g.createElement(Xu,{className:"WAC__overlay--covering",onOpenStart:()=>this.onPanelOpenStart(!0),onCloseStart:this.onPanelCloseStart,onOpenEnd:this.onPanelOpenEnd,onCloseEnd:()=>this.onPanelCloseEnd(!0),animationOnOpen:dr.SLIDE_IN_FROM_BOTTOM,animationOnClose:jr.SLIDE_OUT_TO_BOTTOM,shouldOpen:e.isOpen,serviceManager:o,overlayPanelName:Lc.CONVERSATIONAL_SEARCH_CITATION},g.createElement(wut,{ref:this.viewSourcePanelRef,onClickClose:this.onClose,onClickRestart:this.onRestart,onClickCloseAndRestart:this.onCloseAndRestart}))}renderCustomPanel(){return g.createElement(rut,{useAITheme:this.props.theme.theme===Bs.CARBON_AI,onClose:this.onClose,onClickRestart:this.onRestart,onCloseAndRestart:this.onCloseAndRestart,onPanelOpenStart:()=>this.onPanelOpenStart(!0),onPanelOpenEnd:this.onPanelOpenEnd,onPanelCloseStart:this.onPanelCloseStart,onPanelCloseEnd:()=>this.onPanelCloseEnd(!0)})}renderResponsePanel(){if(!this.props.responsePanelState.localMessageItem)return 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c=s[1];return o.split(` `).map(n=>{let r=n.match(e.other.beginningSpace);if(r===null)return n;let[a]=r;return a.length>=c.length?n.slice(c.length):n}).join(` `)}var Ix=class{constructor(t){cs(this,"options");cs(this,"rules");cs(this,"lexer");this.options=t||hm}space(t){let o=this.rules.block.newline.exec(t);if(o&&o[0].length>0)return{type:"space",raw:o[0]}}code(t){let o=this.rules.block.code.exec(t);if(o){let e=o[0].replace(this.rules.other.codeRemoveIndent,"");return{type:"code",raw:o[0],codeBlockStyle:"indented",text:this.options.pedantic?e:Sf(e,` `)}}}fences(t){let o=this.rules.block.fences.exec(t);if(o){let e=o[0],s=Vlt(e,o[3]||"",this.rules);return{type:"code",raw:e,lang:o[2]?o[2].trim().replace(this.rules.inline.anyPunctuation,"$1"):o[2],text:s}}}heading(t){let o=this.rules.block.heading.exec(t);if(o){let e=o[2].trim();if(this.rules.other.endingHash.test(e)){let 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`,1)[0],k=!y.trim(),x=0;if(this.options.pedantic?(x=2,v=y.trimStart()):k?x=o[1].length+1:(x=o[2].search(this.rules.other.nonSpaceChar),x=x>4?1:x,v=y.slice(x),x+=o[1].length),k&&this.rules.other.blankLine.test(C)&&(l+=C+` `,t=t.substring(C.length+1),d=!0),!d){let j=this.rules.other.nextBulletRegex(x),st=this.rules.other.hrRegex(x),K=this.rules.other.fencesBeginRegex(x),pt=this.rules.other.headingBeginRegex(x),it=this.rules.other.htmlBeginRegex(x);for(;t;){let ot=t.split(` `,1)[0],ft;if(C=ot,this.options.pedantic?(C=C.replace(this.rules.other.listReplaceNesting," "),ft=C):ft=C.replace(this.rules.other.tabCharGlobal," "),K.test(C)||pt.test(C)||it.test(C)||j.test(C)||st.test(C))break;if(ft.search(this.rules.other.nonSpaceChar)>=x||!C.trim())v+=` `+ft.slice(x);else{if(k||y.replace(this.rules.other.tabCharGlobal," ").search(this.rules.other.nonSpaceChar)>=4||K.test(y)||pt.test(y)||st.test(y))break;v+=` `+C}!k&&!C.trim()&&(k=!0),l+=ot+` `,t=t.substring(ot.length+1),y=ft.slice(x)}}c.loose||(r?c.loose=!0:this.rules.other.doubleBlankLine.test(l)&&(r=!0));let I=null,O;this.options.gfm&&(I=this.rules.other.listIsTask.exec(v),I&&(O=I[0]!=="[ ] ",v=v.replace(this.rules.other.listReplaceTask,""))),c.items.push({type:"list_item",raw:l,task:!!I,checked:O,loose:!1,text:v,tokens:[]}),c.raw+=l}let a=c.items.at(-1);if(a)a.raw=a.raw.trimEnd(),a.text=a.text.trimEnd();else return;c.raw=c.raw.trimEnd();for(let d=0;dy.type==="space"),v=l.length>0&&l.some(y=>this.rules.other.anyLine.test(y.raw));c.loose=v}if(c.loose)for(let d=0;d({text:d,tokens:this.lexer.inline(d),header:!1,align:n.align[l]})));return n}}lheading(t){let o=this.rules.block.lheading.exec(t);if(o)return{type:"heading",raw:o[0],depth:o[2].charAt(0)==="="?1:2,text:o[1],tokens:this.lexer.inline(o[1])}}paragraph(t){let o=this.rules.block.paragraph.exec(t);if(o){let e=o[1].charAt(o[1].length-1)===` `?o[1].slice(0,-1):o[1];return{type:"paragraph",raw:o[0],text:e,tokens:this.lexer.inline(e)}}}text(t){let o=this.rules.block.text.exec(t);if(o)return{type:"text",raw:o[0],text:o[0],tokens:this.lexer.inline(o[0])}}escape(t){let o=this.rules.inline.escape.exec(t);if(o)return{type:"escape",raw:o[0],text:o[1]}}tag(t){let o=this.rules.inline.tag.exec(t);if(o)return!this.lexer.state.inLink&&this.rules.other.startATag.test(o[0])?this.lexer.state.inLink=!0:this.lexer.state.inLink&&this.rules.other.endATag.test(o[0])&&(this.lexer.state.inLink=!1),!this.lexer.state.inRawBlock&&this.rules.other.startPreScriptTag.test(o[0])?this.lexer.state.inRawBlock=!0:this.lexer.state.inRawBlock&&this.rules.other.endPreScriptTag.test(o[0])&&(this.lexer.state.inRawBlock=!1),{type:"html",raw:o[0],inLink:this.lexer.state.inLink,inRawBlock:this.lexer.state.inRawBlock,block:!1,text:o[0]}}link(t){let o=this.rules.inline.link.exec(t);if(o){let e=o[2].trim();if(!this.options.pedantic&&this.rules.other.startAngleBracket.test(e)){if(!this.rules.other.endAngleBracket.test(e))return;let n=Sf(e.slice(0,-1),"\\");if((e.length-n.length)%2===0)return}else{let n=qlt(o[2],"()");if(n===-2)return;if(n>-1){let r=(o[0].indexOf("!")===0?5:4)+o[1].length+n;o[2]=o[2].substring(0,n),o[0]=o[0].substring(0,r).trim(),o[3]=""}}let s=o[2],c="";if(this.options.pedantic){let n=this.rules.other.pedanticHrefTitle.exec(s);n&&(s=n[1],c=n[3])}else c=o[3]?o[3].slice(1,-1):"";return s=s.trim(),this.rules.other.startAngleBracket.test(s)&&(this.options.pedantic&&!this.rules.other.endAngleBracket.test(e)?s=s.slice(1):s=s.slice(1,-1)),g8(o,{href:s&&s.replace(this.rules.inline.anyPunctuation,"$1"),title:c&&c.replace(this.rules.inline.anyPunctuation,"$1")},o[0],this.lexer,this.rules)}}reflink(t,o){let e;if((e=this.rules.inline.reflink.exec(t))||(e=this.rules.inline.nolink.exec(t))){let s=(e[2]||e[1]).replace(this.rules.other.multipleSpaceGlobal," "),c=o[s.toLowerCase()];if(!c){let n=e[0].charAt(0);return{type:"text",raw:n,text:n}}return g8(e,c,e[0],this.lexer,this.rules)}}emStrong(t,o,e=""){let s=this.rules.inline.emStrongLDelim.exec(t);if(!(!s||s[3]&&e.match(this.rules.other.unicodeAlphaNumeric))&&(!(s[1]||s[2])||!e||this.rules.inline.punctuation.exec(e))){let c=[...s[0]].length-1,n,r,a=c,d=0,l=s[0][0]==="*"?this.rules.inline.emStrongRDelimAst:this.rules.inline.emStrongRDelimUnd;for(l.lastIndex=0,o=o.slice(-1*t.length+c);(s=l.exec(o))!=null;){if(n=s[1]||s[2]||s[3]||s[4]||s[5]||s[6],!n)continue;if(r=[...n].length,s[3]||s[4]){a+=r;continue}else if((s[5]||s[6])&&c%3&&!((c+r)%3)){d+=r;continue}if(a-=r,a>0)continue;r=Math.min(r,r+a+d);let v=[...s[0]][0].length,y=t.slice(0,c+s.index+v+r);if(Math.min(c,r)%2){let k=y.slice(1,-1);return{type:"em",raw:y,text:k,tokens:this.lexer.inlineTokens(k)}}let C=y.slice(2,-2);return{type:"strong",raw:y,text:C,tokens:this.lexer.inlineTokens(C)}}}}codespan(t){let o=this.rules.inline.code.exec(t);if(o){let e=o[2].replace(this.rules.other.newLineCharGlobal," "),s=this.rules.other.nonSpaceChar.test(e),c=this.rules.other.startingSpaceChar.test(e)&&this.rules.other.endingSpaceChar.test(e);return s&&c&&(e=e.substring(1,e.length-1)),{type:"codespan",raw:o[0],text:e}}}br(t){let o=this.rules.inline.br.exec(t);if(o)return{type:"br",raw:o[0]}}del(t){let o=this.rules.inline.del.exec(t);if(o)return{type:"del",raw:o[0],text:o[2],tokens:this.lexer.inlineTokens(o[2])}}autolink(t){let o=this.rules.inline.autolink.exec(t);if(o){let e,s;return o[2]==="@"?(e=o[1],s="mailto:"+e):(e=o[1],s=e),{type:"link",raw:o[0],text:e,href:s,tokens:[{type:"text",raw:e,text:e}]}}}url(t){var e;let o;if(o=this.rules.inline.url.exec(t)){let s,c;if(o[2]==="@")s=o[0],c="mailto:"+s;else{let n;do n=o[0],o[0]=((e=this.rules.inline._backpedal.exec(o[0]))==null?void 0:e[0])??"";while(n!==o[0]);s=o[0],o[1]==="www."?c="http://"+o[0]:c=o[0]}return{type:"link",raw:o[0],text:s,href:c,tokens:[{type:"text",raw:s,text:s}]}}}inlineText(t){let o=this.rules.inline.text.exec(t);if(o){let e=this.lexer.state.inRawBlock;return{type:"text",raw:o[0],text:o[0],escaped:e}}}},Xd=class AC{constructor(o){cs(this,"tokens");cs(this,"options");cs(this,"state");cs(this,"tokenizer");cs(this,"inlineQueue");this.tokens=[],this.tokens.links=Object.create(null),this.options=o||hm,this.options.tokenizer=this.options.tokenizer||new Ix,this.tokenizer=this.options.tokenizer,this.tokenizer.options=this.options,this.tokenizer.lexer=this,this.inlineQueue=[],this.state={inLink:!1,inRawBlock:!1,top:!0};let e={other:Wn,block:Wy.normal,inline:Ef.normal};this.options.pedantic?(e.block=Wy.pedantic,e.inline=Ef.pedantic):this.options.gfm&&(e.block=Wy.gfm,this.options.breaks?e.inline=Ef.breaks:e.inline=Ef.gfm),this.tokenizer.rules=e}static get rules(){return{block:Wy,inline:Ef}}static lex(o,e){return new AC(e).lex(o)}static lexInline(o,e){return new AC(e).inlineTokens(o)}lex(o){o=o.replace(Wn.carriageReturn,` `),this.blockTokens(o,this.tokens);for(let e=0;e(a=l.call({lexer:this},o,e))?(o=o.substring(a.raw.length),e.push(a),!0):!1))continue;if(a=this.tokenizer.space(o)){o=o.substring(a.raw.length);let l=e.at(-1);a.raw.length===1&&l!==void 0?l.raw+=` `:e.push(a);continue}if(a=this.tokenizer.code(o)){o=o.substring(a.raw.length);let l=e.at(-1);(l==null?void 0:l.type)==="paragraph"||(l==null?void 0:l.type)==="text"?(l.raw+=(l.raw.endsWith(` `)?"":` `)+a.raw,l.text+=` `+a.text,this.inlineQueue.at(-1).src=l.text):e.push(a);continue}if(a=this.tokenizer.fences(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.heading(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.hr(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.blockquote(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.list(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.html(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.def(o)){o=o.substring(a.raw.length);let l=e.at(-1);(l==null?void 0:l.type)==="paragraph"||(l==null?void 0:l.type)==="text"?(l.raw+=(l.raw.endsWith(` `)?"":` `)+a.raw,l.text+=` `+a.raw,this.inlineQueue.at(-1).src=l.text):this.tokens.links[a.tag]||(this.tokens.links[a.tag]={href:a.href,title:a.title},e.push(a));continue}if(a=this.tokenizer.table(o)){o=o.substring(a.raw.length),e.push(a);continue}if(a=this.tokenizer.lheading(o)){o=o.substring(a.raw.length),e.push(a);continue}let d=o;if((r=this.options.extensions)!=null&&r.startBlock){let l=1/0,v=o.slice(1),y;this.options.extensions.startBlock.forEach(C=>{y=C.call({lexer:this},v),typeof y=="number"&&y>=0&&(l=Math.min(l,y))}),l<1/0&&l>=0&&(d=o.substring(0,l+1))}if(this.state.top&&(a=this.tokenizer.paragraph(d))){let l=e.at(-1);s&&(l==null?void 0:l.type)==="paragraph"?(l.raw+=(l.raw.endsWith(` `)?"":` `)+a.raw,l.text+=` `+a.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=l.text):e.push(a),s=d.length!==o.length,o=o.substring(a.raw.length);continue}if(a=this.tokenizer.text(o)){o=o.substring(a.raw.length);let l=e.at(-1);(l==null?void 0:l.type)==="text"?(l.raw+=(l.raw.endsWith(` `)?"":` `)+a.raw,l.text+=` `+a.text,this.inlineQueue.pop(),this.inlineQueue.at(-1).src=l.text):e.push(a);continue}if(o){let l="Infinite loop on byte: "+o.charCodeAt(0);if(this.options.silent){console.error(l);break}else throw new Error(l)}}return this.state.top=!0,e}inline(o,e=[]){return this.inlineQueue.push({src:o,tokens:e}),e}inlineTokens(o,e=[]){var a,d,l,v,y;let s=o,c=null;if(this.tokens.links){let C=Object.keys(this.tokens.links);if(C.length>0)for(;(c=this.tokenizer.rules.inline.reflinkSearch.exec(s))!=null;)C.includes(c[0].slice(c[0].lastIndexOf("[")+1,-1))&&(s=s.slice(0,c.index)+"["+"a".repeat(c[0].length-2)+"]"+s.slice(this.tokenizer.rules.inline.reflinkSearch.lastIndex))}for(;(c=this.tokenizer.rules.inline.anyPunctuation.exec(s))!=null;)s=s.slice(0,c.index)+"++"+s.slice(this.tokenizer.rules.inline.anyPunctuation.lastIndex);for(;(c=this.tokenizer.rules.inline.blockSkip.exec(s))!=null;)s=s.slice(0,c.index)+"["+"a".repeat(c[0].length-2)+"]"+s.slice(this.tokenizer.rules.inline.blockSkip.lastIndex);s=((d=(a=this.options.hooks)==null?void 0:a.emStrongMask)==null?void 0:d.call({lexer:this},s))??s;let n=!1,r="";for(;o;){n||(r=""),n=!1;let C;if((v=(l=this.options.extensions)==null?void 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At(i){const e=this,t=e.touchEventsData;let s=i;s.originalEvent&&(s=s.originalEvent);let n;if(s.type==="touchend"||s.type==="touchcancel"){if(n=[...s.changedTouches].find(T=>T.identifier===t.touchId),!n||n.identifier!==t.touchId)return}else{if(t.touchId!==null||s.pointerId!==t.pointerId)return;n=s}if(["pointercancel","pointerout","pointerleave","contextmenu"].includes(s.type)&&!(["pointercancel","contextmenu"].includes(s.type)&&(e.browser.isSafari||e.browser.isWebView)))return;t.pointerId=null,t.touchId=null;const{params:a,touches:o,rtlTranslate:l,slidesGrid:d,enabled:c}=e;if(!c||!a.simulateTouch&&s.pointerType==="mouse")return;if(t.allowTouchCallbacks&&e.emit("touchEnd",s),t.allowTouchCallbacks=!1,!t.isTouched){t.isMoved&&a.grabCursor&&e.setGrabCursor(!1),t.isMoved=!1,t.startMoving=!1;return}a.grabCursor&&t.isMoved&&t.isTouched&&(e.allowSlideNext===!0||e.allowSlidePrev===!0)&&e.setGrabCursor(!1);const f=Z(),u=f-t.touchStartTime;if(e.allowClick){const T=s.path||s.composedPath&&s.composedPath();e.updateClickedSlide(T&&T[0]||s.target,T),e.emit("tap click",s),u<300&&f-t.lastClickTime<300&&e.emit("doubleTap doubleClick",s)}if(t.lastClickTime=Z(),we(()=>{e.destroyed||(e.allowClick=!0)}),!t.isTouched||!t.isMoved||!e.swipeDirection||o.diff===0&&!t.loopSwapReset||t.currentTranslate===t.startTranslate&&!t.loopSwapReset){t.isTouched=!1,t.isMoved=!1,t.startMoving=!1;return}t.isTouched=!1,t.isMoved=!1,t.startMoving=!1;let p;if(a.followFinger?p=l?e.translate:-e.translate:p=-t.currentTranslate,a.cssMode)return;if(a.freeMode&&a.freeMode.enabled){e.freeMode.onTouchEnd({currentPos:p});return}const h=p>=-e.maxTranslate()&&!e.params.loop;let v=0,P=e.slidesSizesGrid[0];for(let T=0;T=d[T]&&p=d[T])&&(v=T,P=d[d.length-1]-d[d.length-2])}let m=null,S=null;a.rewind&&(e.isBeginning?S=a.virtual&&a.virtual.enabled&&e.virtual?e.virtual.slides.length-1:e.slides.length-1:e.isEnd&&(m=0));const g=(p-d[v])/P,E=va.longSwipesMs){if(!a.longSwipes){e.slideTo(e.activeIndex);return}e.swipeDirection==="next"&&(g>=a.longSwipesRatio?e.slideTo(a.rewind&&e.isEnd?m:v+E):e.slideTo(v)),e.swipeDirection==="prev"&&(g>1-a.longSwipesRatio?e.slideTo(v+E):S!==null&&g<0&&Math.abs(g)>a.longSwipesRatio?e.slideTo(S):e.slideTo(v))}else{if(!a.shortSwipes){e.slideTo(e.activeIndex);return}e.navigation&&(s.target===e.navigation.nextEl||s.target===e.navigation.prevEl)?s.target===e.navigation.nextEl?e.slideTo(v+E):e.slideTo(v):(e.swipeDirection==="next"&&e.slideTo(m!==null?m:v+E),e.swipeDirection==="prev"&&e.slideTo(S!==null?S:v))}}function ge(){const i=this,{params:e,el:t}=i;if(t&&t.offsetWidth===0)return;e.breakpoints&&i.setBreakpoint();const{allowSlideNext:s,allowSlidePrev:n,snapGrid:r}=i,a=i.virtual&&i.params.virtual.enabled;i.allowSlideNext=!0,i.allowSlidePrev=!0,i.updateSize(),i.updateSlides(),i.updateSlidesClasses();const o=a&&e.loop;(e.slidesPerView==="auto"||e.slidesPerView>1)&&i.isEnd&&!i.isBeginning&&!i.params.centeredSlides&&!o?i.slideTo(i.slides.length-1,0,!1,!0):i.params.loop&&!a?i.slideToLoop(i.realIndex,0,!1,!0):i.slideTo(i.activeIndex,0,!1,!0),i.autoplay&&i.autoplay.running&&i.autoplay.paused&&(clearTimeout(i.autoplay.resizeTimeout),i.autoplay.resizeTimeout=setTimeout(()=>{i.autoplay&&i.autoplay.running&&i.autoplay.paused&&i.autoplay.resume()},500)),i.allowSlidePrev=n,i.allowSlideNext=s,i.params.watchOverflow&&r!==i.snapGrid&&i.checkOverflow()}function Gt(i){const e=this;e.enabled&&(e.allowClick||(e.params.preventClicks&&i.preventDefault(),e.params.preventClicksPropagation&&e.animating&&(i.stopPropagation(),i.stopImmediatePropagation())))}function _t(){const i=this,{wrapperEl:e,rtlTranslate:t,enabled:s}=i;if(!s)return;i.previousTranslate=i.translate,i.isHorizontal()?i.translate=-e.scrollLeft:i.translate=-e.scrollTop,i.translate===0&&(i.translate=0),i.updateActiveIndex(),i.updateSlidesClasses();let n;const r=i.maxTranslate()-i.minTranslate();r===0?n=0:n=(i.translate-i.minTranslate())/r,n!==i.progress&&i.updateProgress(t?-i.translate:i.translate),i.emit("setTranslate",i.translate,!1)}function Vt(i){const e=this;U(e,i.target),!(e.params.cssMode||e.params.slidesPerView!=="auto"&&!e.params.autoHeight)&&e.update()}function Dt(){const i=this;i.documentTouchHandlerProceeded||(i.documentTouchHandlerProceeded=!0,i.params.touchReleaseOnEdges&&(i.el.style.touchAction="auto"))}const ye=(i,e)=>{const t=j(),{params:s,el:n,wrapperEl:r,device:a}=i,o=!!s.nested,l=e==="on"?"addEventListener":"removeEventListener",d=e;!n||typeof 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e){if(this.isTextNode(r)||!this.isElementNode(i)||n&&!this.isListboxRelatedElement(i,n))continue;let s=i.parentElement&&t.includes(i.parentElement)||!1;this.handleHighlighting(r,i,g,s)&&t.push(i)}}handleHighlighting(e,t,n,i){if(!e.isInteractive)return!1;let r=!1;return i?this.isElementDistinctInteraction(t)?r=!0:r=!1:r=!0,r&&(e.isInViewport=this.isInExpandedViewport(t),e.isInViewport||this.viewportExpansion===-1)?(e.highlightIndex=this.highlightIndex++,this.doHighlightElements?(this.focusHighlightIndex>=0?this.focusHighlightIndex===e.highlightIndex&&this.elementHighlighter.highlightElement(t,e.highlightIndex,n):this.elementHighlighter.highlightElement(t,e.highlightIndex,n),!0):!1):!1}isInExpandedViewport(e){if(this.viewportExpansion===-1)return!0;const t=e.getClientRects();if(!t||t.length===0){const 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i=e.tagName.toLowerCase(),r=e.getAttribute("role");if(i==="iframe"||n.has(i)||r&&t.has(r)||e.isContentEditable||e.getAttribute("contenteditable")==="true"||e.hasAttribute("data-testid")||e.hasAttribute("data-cy")||e.hasAttribute("data-test")||e.hasAttribute("onclick")||typeof e.onclick=="function")return!0;try{const f=((s=(g=e==null?void 0:e.ownerDocument)==null?void 0:g.defaultView)==null?void 0:s.getEventListenersForNode)||window.getEventListenersForNode;if(typeof f=="function"){const d=f(e),m=["click","mousedown","mouseup","keydown","keyup","submit","change","input","focus","blur"];for(const h of m)for(const y of d)if(y.type===h)return!0}if(["onmousedown","onmouseup","onkeydown","onkeyup","onsubmit","onchange","oninput","onfocus","onblur"].some(d=>e.hasAttribute(d)))return!0}catch{}return!!this.isHeuristicallyInteractive(e)}findActiveListbox(e){for(const{node:t,nodeData:n}of e){if(!this.isElementNode(t)||this.isTextNode(n))continue;const 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i=this.nodeCollector.collect(n);if(n.tagName){const d=n.tagName.toLowerCase();if(d==="iframe")try{const m=n.contentDocument||((f=n.contentWindow)==null?void 0:f.document);if(m)for(const h of m.childNodes){const y=this.buildDomTreeRecursive(h,n);y&&i.children.push(y)}}catch(m){console.warn("Unable to access iframe:",m)}else if(n.isContentEditable||n.getAttribute("contenteditable")==="true"||n.id==="tinymce"||n.classList.contains("mce-content-body")||d==="body"&&((w=n.getAttribute("data-id"))!=null&&w.startsWith("mce_")))for(const m of n.childNodes){const h=this.buildDomTreeRecursive(m,t);h&&i.children.push(h)}else{if(n.shadowRoot)for(const m of n.shadowRoot.childNodes){const h=this.buildDomTreeRecursive(m,t);h&&i.children.push(h)}for(const m of n.childNodes){const h=this.buildDomTreeRecursive(m,t);h&&i.children.push(h)}}}if(i.tagName==="a"&&i.children.length===0&&!i.attributes.href){const d=this.domCache.getCachedBoundingRect(n);if(!(d&&d.width>0&&d.height>0||n.offsetWidth>0||n.offsetHeight>0))return null}const r=`${this.ID.current++}`;return this.DOM_HASH_MAP[r]=i,this.collectedNodes.push({node:e,nodeData:i,parentIFrame:t}),r;function g(){return!e||e.id===J||e.nodeType!==Node.ELEMENT_NODE&&e.nodeType!==Node.TEXT_NODE}}isTextNodeVisible(e){return this.nodeCollector.isTextNodeVisible(e)}isElementAccepted(e){return this.nodeValidator.isElementAccepted(e)}resetState(){this.ID={current:0},this.collectedNodes=[],this.DOM_HASH_MAP={}}}const xe=A=>{const{doHighlightElements:e=!0,focusHighlightIndex:t=-1,viewportExpansion:n=0}=A,i=new me,r=new fe,g=new he,s=new Ae(i),f=new pe(i,s,g,n),w=new we(r,s,i,n,t,e),m=new be(i,s,f,w,n).buildDomTree();return i.clearCache(),g.clearCache(),m};class ye{constructor(){S(this,"isRunning",!1);S(this,"currentResult",null);S(this,"messageListener",null)}start(){var e;if(this.isRunning){console.warn("⚠️ DOMTreeModule is already running");return}console.log("🚀 Starting DOMTreeModule...",{window:!!window,document:!!document,location:(e=window.location)==null?void 0:e.href,readyState:document.readyState}),this.isRunning=!0,this.messageListener=t=>{this.handleMessage(t)},window.addEventListener("message",this.messageListener),console.log("📨 Message listener added"),document.readyState==="loading"?document.addEventListener("DOMContentLoaded",()=>{console.log("📄 DOM loaded, exposing API..."),this.exposeGlobalAPI()}):(console.log("📄 DOM already ready, exposing API..."),this.exposeGlobalAPI()),console.log("✅ DOMTreeModule startup complete")}stop(){if(!this.isRunning){console.warn("DOMTreeModule is not running");return}console.log("Stopping DOMTreeModule"),this.isRunning=!1,this.messageListener&&(window.removeEventListener("message",this.messageListener),this.messageListener=null),this.clearHighlights(),this.removeGlobalAPI(),console.log("DOMTreeModule stopped successfully")}handleMessage(e){if(e.source!==window)return;const{data:t}=e;if(!(!t||typeof t!="object"))switch(t.type){case"DOM_TREE_ANALYZE":this.handleAnalyzeCommand(t.args||{});break;case"DOM_TREE_HIGHLIGHT":this.handleHighlightCommand(t.args||{});break;case"DOM_TREE_CLEAR_HIGHLIGHTS":this.clearHighlights();break;case"DOM_TREE_GET_RESULT":this.sendCurrentResult();break}}handleAnalyzeCommand(e){try{const t=this.analyzePage(e);this.currentResult=t,window.postMessage({type:"DOM_TREE_ANALYZE_RESULT",result:t,success:!0},"*"),console.log("DOM analysis completed:",{totalNodes:Object.keys(t.map).length,rootId:t.rootId})}catch(t){console.error("DOM analysis failed:",t),window.postMessage({type:"DOM_TREE_ANALYZE_RESULT",error:t instanceof Error?t.message:"Unknown error",success:!1},"*")}}handleHighlightCommand(e){try{const t=this.analyzePage({...e,doHighlightElements:!0});this.currentResult=t,window.postMessage({type:"DOM_TREE_HIGHLIGHT_RESULT",result:t,success:!0},"*"),console.log("DOM highlighting completed")}catch(t){console.error("DOM highlighting failed:",t),window.postMessage({type:"DOM_TREE_HIGHLIGHT_RESULT",error:t instanceof Error?t.message:"Unknown error",success:!1},"*")}}sendCurrentResult(){window.postMessage({type:"DOM_TREE_CURRENT_RESULT",result:this.currentResult,success:!0},"*")}analyzePage(e={}){return e.doHighlightElements&&this.clearHighlights(),xe(e)}clearHighlights(){const e=document.getElementById("playwright-highlight-container");e&&e.remove();const t=window;t._highlightCleanupFunctions&&Array.isArray(t._highlightCleanupFunctions)&&(t._highlightCleanupFunctions.forEach(n=>{try{n()}catch(i){console.warn("Error calling highlight cleanup function:",i)}}),t._highlightCleanupFunctions=[])}getCurrentResult(){return this.currentResult}isModuleRunning(){return this.isRunning}exposeGlobalAPI(){const e={analyzePage:t=>this.analyzePage(t),clearHighlights:()=>this.clearHighlights(),getCurrentResult:()=>this.getCurrentResult(),isRunning:()=>this.isModuleRunning(),debug:{moduleInstance:this,exposedAt:new Date().toISOString(),context:"content-script"}};try{window.DOMTreeAPI=e,window.CUGA_DOMTreeAPI=e,console.log("✅ DOMTreeAPI exposed successfully",{window:!!window,globalAPI:!!e,DOMTreeAPI:!!window.DOMTreeAPI,timestamp:new Date().toISOString()}),window.dispatchEvent(new CustomEvent("DOMTreeAPI:ready",{detail:{api:e}}))}catch(t){console.error("❌ Failed to expose DOMTreeAPI:",t)}}removeGlobalAPI(){delete window.DOMTreeAPI}}const U="dom-tree-id",re="data-browsergym-setofmarks",se="data-browsergym-visibility";class Ee{constructor(){S(this,"elementIdCounter",0);S(this,"isInitialized",!1)}start(){console.log("Starting FrameMarkElements module..."),this.initialize()}stop(){console.log("Stopping FrameMarkElements 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n.width*n.height<100&&(i*=.5),n.top>=0&&n.left>=0&&n.bottom<=(window.innerHeight||document.documentElement.clientHeight)&&n.right<=(window.innerWidth||document.documentElement.clientWidth)||(i*=.3),Math.min(1,Math.max(0,i))}shouldMarkElement(e,t){if(!e||e.nodeType!==Node.ELEMENT_NODE)return!1;const n=e.tagName.toLowerCase();return t==="all"?!0:["a","button","input","textarea","select","option","form","label","fieldset","legend","img","video","audio","canvas","svg","div","span","p","h1","h2","h3","h4","h5","h6","ul","ol","li","dl","dt","dd","table","tr","td","th","tbody","thead","tfoot","nav","header","footer","section","article","aside","main","details","summary","dialog","menu","menuitem"].includes(n)}markElements(e,t,n){const i=[];try{const r=document.querySelectorAll("*");for(const s of r)try{if(!this.shouldMarkElement(s,n))continue;if(!s.hasAttribute(t)){const d=this.generateElementId(e);s.setAttribute(t,d)}const f=this.calculateVisibility(s);s.setAttribute(se,f.toString()),this.isElementInteractive(s)&&s.setAttribute(re,"1"),this.storeDynamicProperties(s)}catch(f){i.push(`Failed to mark element ${s.tagName}: ${f.message}`)}const g=document.querySelectorAll("iframe, frame");for(const s of g)try{if(!s.getAttribute(t)){const f=this.generateElementId(e);s.setAttribute(t,f)}}catch(f){i.push(`Failed to mark iframe: ${f.message}`)}}catch(r){i.push(`General marking error: ${r.message}`)}return i}isElementInteractive(e){const t=e.tagName.toLowerCase();if(["a","button","input","textarea","select","option","details","summary","dialog","menu","menuitem"].includes(t)||e.onclick||e.getAttribute("onclick")||e.style.cursor==="pointer")return!0;const r=e.getAttribute("role");return r!==null&&["button","link","menuitem","option","radio","checkbox","slider","spinbutton","textbox","combobox","listbox"].includes(r)}storeDynamicProperties(e){var n;const t=e.tagName.toLowerCase();try{if(["input","textarea","select"].includes(t))if(t==="input"){const i=e;i.type==="checkbox"||i.type==="radio"?e.setAttribute("data-browsergym-checked",i.checked.toString()):e.setAttribute("data-browsergym-value",i.value||"")}else{const i=e;e.setAttribute("data-browsergym-value",i.value||"")}if(t==="option"){const i=e;e.setAttribute("data-browsergym-selected",i.selected.toString())}if(["button","a","label"].includes(t)){const i=((n=e.textContent)==null?void 0:n.trim())||"";i&&e.setAttribute("data-browsergym-text",i)}}catch(i){console.warn(`Failed to store dynamic properties for ${t}:`,i)}}unmarkElements(){try{const e=document.querySelectorAll(`[${U}]`);for(const t of e){t.removeAttribute(se),t.removeAttribute(re);const n=["data-browsergym-checked","data-browsergym-value","data-browsergym-selected","data-browsergym-text"];for(const i of n)t.removeAttribute(i)}this.elementIdCounter=0}catch(e){console.warn("Failed to unmark elements:",e)}}getFocusedElementBid(){try{const e=n=>{const i=n.activeElement;return i?i.shadowRoot?e(i.shadowRoot):i:null},t=e(document);return t&&t.getAttribute(U)||""}catch(e){return console.warn("Failed to get focused element BID:",e),""}}extractPageContent(){try{return document.body.innerHTML||""}catch(e){return console.warn("Failed to extract page content:",e),""}}extractPageContentAsText(){try{return document.body.textContent||""}catch(e){return console.warn("Failed to extract page content as text:",e),""}}exportToWindow(){typeof window<"u"&&(window.browserGymContentScript={markElements:this.markElements.bind(this),unmarkElements:this.unmarkElements.bind(this),getFocusedElementBid:this.getFocusedElementBid.bind(this),extractPageContent:this.extractPageContent.bind(this),extractPageContentAsText:this.extractPageContentAsText.bind(this),isElementVisible:this.isElementVisible.bind(this),calculateVisibility:this.calculateVisibility.bind(this)})}setupMessageListener(){globalThis.chrome.runtime.onMessage.addListener((e,t,n)=>{var i,r,g,s,f;try{switch(e.type){case"ping":n({type:"pong",timestamp:Date.now()});break;case"mark_elements":this.unmarkElements();const w=this.markElements(e.data.frameId||"",e.data.bidAttribute||U,e.data.tagsToMark||"standard_html");n({type:"success",warnings:w});break;case"unmark_elements":this.unmarkElements(),n({type:"success"});break;case"get_focused_element_bid":const d=this.getFocusedElementBid();n({type:"success",data:d});break;case"get_element_rect":{try{const h=document.querySelector(`[${U}="${e.bid}"]`);if(!h)throw new Error(`Element with dom-tree-id '${e.bid}' not found`);const y=h.getBoundingClientRect();n({type:"success",data:{left:y.left,top:y.top,right:y.right,bottom:y.bottom,width:y.width,height:y.height}})}catch(h){n({type:"error",message:h.message})}break}case"extract_page_content":const m=(i=e.data)!=null&&i.asText?this.extractPageContentAsText():this.extractPageContent();n({type:"success",data:m});break;case"extract_dom_tree":try{const h=window.DOMTreeAPI||window.CUGA_DOMTreeAPI;if(!h)throw new Error("DOM Tree API not available");const y=h.analyzePage({doHighlightElements:((r=e.data)==null?void 0:r.doHighlightElements)||!1,focusHighlightIndex:((g=e.data)==null?void 0:g.focusHighlightIndex)||-1,viewportExpansion:((s=e.data)==null?void 0:s.viewportExpansion)||0,debugMode:((f=e.data)==null?void 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================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/complete/woff/license.txt ================================================ Copyright © 2017 IBM Corp. with Reserved Font Name "Plex" This Font Software is licensed under the SIL Open Font License, Version 1.1. This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL ----------------------------------------------------------- SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 ----------------------------------------------------------- PREAMBLE The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others. The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives. DEFINITIONS "Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation. "Reserved Font Name" refers to any names specified as such after the copyright statement(s). "Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s). "Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment. "Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software. PERMISSION & CONDITIONS Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions: 1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself. 2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user. 3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users. 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission. 5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software. TERMINATION This license becomes null and void if any of the above conditions are not met. DISCLAIMER THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE. ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/complete/woff2/license.txt ================================================ Copyright © 2017 IBM Corp. with Reserved Font Name "Plex" This Font Software is licensed under the SIL Open Font License, Version 1.1. This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL ----------------------------------------------------------- SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 ----------------------------------------------------------- PREAMBLE The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others. The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives. DEFINITIONS "Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation. "Reserved Font Name" refers to any names specified as such after the copyright statement(s). "Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s). "Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment. "Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software. PERMISSION & CONDITIONS Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions: 1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself. 2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user. 3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users. 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission. 5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software. TERMINATION This license becomes null and void if any of the above conditions are not met. DISCLAIMER THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE. ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Bold.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-BoldItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-ExtraLight.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-ExtraLightItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Italic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Light.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-LightItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Medium.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-MediumItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Regular.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-SemiBold.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-SemiBoldItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Text.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-TextItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-Thin.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/IBMPlexSans-ThinItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Cyrillic.woff") format("woff"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Greek.woff") format("woff"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Latin1.woff") format("woff"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Latin2.woff") format("woff"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Latin3.woff") format("woff"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Pi.woff") format("woff"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff/license.txt ================================================ Copyright © 2017 IBM Corp. with Reserved Font Name "Plex" This Font Software is licensed under the SIL Open Font License, Version 1.1. This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL ----------------------------------------------------------- SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 ----------------------------------------------------------- PREAMBLE The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others. The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives. DEFINITIONS "Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation. "Reserved Font Name" refers to any names specified as such after the copyright statement(s). "Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s). "Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment. "Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software. PERMISSION & CONDITIONS Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions: 1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself. 2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user. 3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users. 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission. 5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software. TERMINATION This license becomes null and void if any of the above conditions are not met. DISCLAIMER THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE. ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Bold.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 700; src: local("IBM Plex Sans Bold"), local("IBMPlexSans-Bold"), url("IBMPlexSans-Bold-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-BoldItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 700; src: local("IBM Plex Sans Bold Italic"), local("IBMPlexSans-BoldItalic"), url("IBMPlexSans-BoldItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-ExtraLight.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 200; src: local("IBM Plex Sans ExtLt"), local("IBMPlexSans-ExtLt"), url("IBMPlexSans-ExtraLight-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-ExtraLightItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 200; src: local("IBM Plex Sans ExtLt Italic"), local("IBMPlexSans-ExtLtItalic"), url("IBMPlexSans-ExtraLightItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Italic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 400; src: local("IBM Plex Sans Italic"), local("IBMPlexSans-Italic"), url("IBMPlexSans-Italic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Light.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 300; src: local("IBM Plex Sans Light"), local("IBMPlexSans-Light"), url("IBMPlexSans-Light-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-LightItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 300; src: local("IBM Plex Sans Light Italic"), local("IBMPlexSans-LightItalic"), url("IBMPlexSans-LightItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Medium.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 500; src: local("IBM Plex Sans Medm"), local("IBMPlexSans-Medm"), url("IBMPlexSans-Medium-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-MediumItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 500; src: local("IBM Plex Sans Medm Italic"), local("IBMPlexSans-MedmItalic"), url("IBMPlexSans-MediumItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Regular.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 400; src: local("IBM Plex Sans"), local("IBMPlexSans"), url("IBMPlexSans-Regular-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-SemiBold.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 600; src: local("IBM Plex Sans SmBld"), local("IBMPlexSans-SmBld"), url("IBMPlexSans-SemiBold-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-SemiBoldItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 600; src: local("IBM Plex Sans SmBld Italic"), local("IBMPlexSans-SmBldItalic"), url("IBMPlexSans-SemiBoldItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Text.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 450; src: local("IBM Plex Sans Text"), local("IBMPlexSans-Text"), url("IBMPlexSans-Text-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-TextItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 450; src: local("IBM Plex Sans Text Italic"), local("IBMPlexSans-TextItalic"), url("IBMPlexSans-TextItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-Thin.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: normal; font-weight: 100; src: local("IBM Plex Sans Thin"), local("IBMPlexSans-Thin"), url("IBMPlexSans-Thin-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/IBMPlexSans-ThinItalic.css ================================================ /* Subset: Cyrillic */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Cyrillic.woff2") format("woff2"); unicode-range: U+0400-045F, U+0462-0463, U+046A-046B, U+0472-0475, U+0490-04C2, U+04CF-04D9, U+04DC-04E9, U+04EE-04F9, U+0524-0525 } /* Subset: Greek */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Greek.woff2") format("woff2"); unicode-range: U+037E, U+0386-038A, U+038C, U+038E-03A1, U+03A3-03CE } /* Subset: Latin1 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Latin1.woff2") format("woff2"); unicode-range: U+0000, U+000D, U+0020-007E, U+00A0-00FF, U+0131, U+0152-0153, U+02C6, U+02DA, U+02DC, U+2013-2014, U+2018-201A, U+201C-201E, U+2020-2022, U+2026, U+2030, U+2039-203A, U+2044, U+20AC, U+2122, U+2212, U+FB01-FB02 } /* Subset: Latin2 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Latin2.woff2") format("woff2"); unicode-range: U+0100-0101, U+0104-0130, U+0132-0151, U+0154-017F, U+018F, U+0192, U+01A0-01A1, U+01AF-01B0, U+01FA-01FF, U+0218-021B, U+0237, U+0259, U+1E80-1E85, U+1E9E, U+20A1, U+20A4, U+20A6, U+20A8-20AA, U+20AD-20AE, U+20B1-20B2, U+20B4-20B5, U+20B8-20BA, U+20BD, U+20BF } /* Subset: Latin3 */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Latin3.woff2") format("woff2"); unicode-range: U+0102-0103, U+01CD-01DC, U+1EA0-1EF9, U+20AB } /* Subset: Pi */ @font-face { font-family: 'IBM Plex Sans'; font-style: italic; font-weight: 100; src: local("IBM Plex Sans Thin Italic"), local("IBMPlexSans-ThinItalic"), url("IBMPlexSans-ThinItalic-Pi.woff2") format("woff2"); unicode-range: U+0E3F, U+2000-200D, U+2015, U+2028-2029, U+202F, U+2032-2033, U+2070, U+2074-2079, U+2080-2089, U+2113, U+2116, U+2126, U+212E, U+2150-2151, U+2153-215E, U+2190-2199, U+21A9-21AA, U+21B0-21B3, U+21B6-21B7, U+21BA-21BB, U+21C4, U+21C6, U+2202, U+2206, U+220F, U+2211, U+2215, U+221A, U+221E, U+222B, U+2248, U+2260, U+2264-2265, U+25CA, U+2713, U+274C, U+2B0E-2B11, U+ECE0, U+EFCC, U+FEFF, U+FFFD } ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/fonts/IBM-Plex-Sans/fonts/split/woff2/license.txt ================================================ Copyright © 2017 IBM Corp. with Reserved Font Name "Plex" This Font Software is licensed under the SIL Open Font License, Version 1.1. This license is copied below, and is also available with a FAQ at: http://scripts.sil.org/OFL ----------------------------------------------------------- SIL OPEN FONT LICENSE Version 1.1 - 26 February 2007 ----------------------------------------------------------- PREAMBLE The goals of the Open Font License (OFL) are to stimulate worldwide development of collaborative font projects, to support the font creation efforts of academic and linguistic communities, and to provide a free and open framework in which fonts may be shared and improved in partnership with others. The OFL allows the licensed fonts to be used, studied, modified and redistributed freely as long as they are not sold by themselves. The fonts, including any derivative works, can be bundled, embedded, redistributed and/or sold with any software provided that any reserved names are not used by derivative works. The fonts and derivatives, however, cannot be released under any other type of license. The requirement for fonts to remain under this license does not apply to any document created using the fonts or their derivatives. DEFINITIONS "Font Software" refers to the set of files released by the Copyright Holder(s) under this license and clearly marked as such. This may include source files, build scripts and documentation. "Reserved Font Name" refers to any names specified as such after the copyright statement(s). "Original Version" refers to the collection of Font Software components as distributed by the Copyright Holder(s). "Modified Version" refers to any derivative made by adding to, deleting, or substituting -- in part or in whole -- any of the components of the Original Version, by changing formats or by porting the Font Software to a new environment. "Author" refers to any designer, engineer, programmer, technical writer or other person who contributed to the Font Software. PERMISSION & CONDITIONS Permission is hereby granted, free of charge, to any person obtaining a copy of the Font Software, to use, study, copy, merge, embed, modify, redistribute, and sell modified and unmodified copies of the Font Software, subject to the following conditions: 1) Neither the Font Software nor any of its individual components, in Original or Modified Versions, may be sold by itself. 2) Original or Modified Versions of the Font Software may be bundled, redistributed and/or sold with any software, provided that each copy contains the above copyright notice and this license. These can be included either as stand-alone text files, human-readable headers or in the appropriate machine-readable metadata fields within text or binary files as long as those fields can be easily viewed by the user. 3) No Modified Version of the Font Software may use the Reserved Font Name(s) unless explicit written permission is granted by the corresponding Copyright Holder. This restriction only applies to the primary font name as presented to the users. 4) The name(s) of the Copyright Holder(s) or the Author(s) of the Font Software shall not be used to promote, endorse or advertise any Modified Version, except to acknowledge the contribution(s) of the Copyright Holder(s) and the Author(s) or with their explicit written permission. 5) The Font Software, modified or unmodified, in part or in whole, must be distributed entirely under this license, and must not be distributed under any other license. The requirement for fonts to remain under this license does not apply to any document created using the Font Software. TERMINATION This license becomes null and void if any of the above conditions are not met. DISCLAIMER THE FONT SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO ANY WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT OF COPYRIGHT, PATENT, TRADEMARK, OR OTHER RIGHT. IN NO EVENT SHALL THE COPYRIGHT HOLDER BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, INCLUDING ANY GENERAL, SPECIAL, INDIRECT, INCIDENTAL, OR CONSEQUENTIAL DAMAGES, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF THE USE OR INABILITY TO USE THE FONT SOFTWARE OR FROM OTHER DEALINGS IN THE FONT SOFTWARE. ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/manifest.json ================================================ {"manifest_version":3,"name":"CUGA","description":"CUGA is a generalist agent that can perform any task using web and api tools.","version":"1.0.1","icons":{"16":"icon/16.png","48":"icon/48.png","128":"icon/128.png"},"minimum_chrome_version":"116","content_security_policy":{"extension_pages":"script-src 'self'; object-src 'self';"},"host_permissions":["*://*/*"],"permissions":["activeTab","tabs","identity","sidePanel","storage","webNavigation","debugger","webRequest","contextMenus","scripting"],"action":{},"background":{"service_worker":"background.js"},"side_panel":{"default_path":"sidepanel.html"},"content_scripts":[{"matches":[""],"all_frames":true,"js":["content-scripts/content.js"]}]} ================================================ FILE: src/frontend_workspaces/extension/releases/chrome-mv3/sidepanel.html ================================================ test
    ================================================ FILE: src/frontend_workspaces/extension/src/content/frame.mark.elements.ts ================================================ /** * Chrome Extension Content Script for marking DOM elements * Replaces the original Playwright-based frame_mark_elements.js */ // Constants for BrowserGym attributes // Attribute used for stable DOM element identification export const DOM_TREE_ID_ATTRIBUTE = "dom-tree-id"; // previously data-browsergym-id // Keep alias for backward compatibility export const BROWSERGYM_ID_ATTRIBUTE = DOM_TREE_ID_ATTRIBUTE; const BROWSERGYM_SETOFMARKS_ATTRIBUTE = "data-browsergym-setofmarks"; const BROWSERGYM_VISIBILITY_ATTRIBUTE = "data-browsergym-visibility"; export class FrameMarkElementsModule { // Class state private elementIdCounter: number = 0; private isInitialized: boolean = false; /** * Start the content script module */ start(): void { console.log("Starting FrameMarkElements module..."); this.initialize(); } /** * Stop the content script module */ stop(): void { console.log("Stopping FrameMarkElements module..."); this.cleanup(); } /** * Initialize the content script */ private initialize(): void { if (this.isInitialized) { return; } // Set up message listener this.setupMessageListener(); // Set up page unload listener this.setupPageUnloadListener(); // Export functions to window for external access this.exportToWindow(); this.isInitialized = true; console.log("CUGA Chrome Extension: Content script loaded and ready"); } /** * Cleanup when stopping */ private cleanup(): void { // Remove element marks this.unmarkElements(); // Reset state this.elementIdCounter = 0; this.isInitialized = false; } /** * Generate a unique element ID */ private generateElementId(frameId: string): string { const fullId = frameId ? frameId + ":" + this.elementIdCounter : this.elementIdCounter.toString(); this.elementIdCounter++; return fullId; } /** * Check if element is visible */ private isElementVisible(element: Element): boolean { if (!element || element.nodeType !== Node.ELEMENT_NODE) { return false; } const style = window.getComputedStyle(element); const rect = element.getBoundingClientRect(); return ( style.display !== "none" && style.visibility !== "hidden" && style.opacity !== "0" && rect.width > 0 && rect.height > 0 ); } /** * Calculate element visibility score */ private calculateVisibility(element: Element): number { if (!this.isElementVisible(element)) { return 0; } const style = window.getComputedStyle(element); const rect = element.getBoundingClientRect(); // Basic visibility score based on opacity and size let score = parseFloat(style.opacity) || 1; // Adjust score based on element size const area = rect.width * rect.height; if (area < 100) { score *= 0.5; // Smaller elements are less visible } // Check if element is in viewport const inViewport = ( rect.top >= 0 && rect.left >= 0 && rect.bottom <= (window.innerHeight || document.documentElement.clientHeight) && rect.right <= (window.innerWidth || document.documentElement.clientWidth) ); if (!inViewport) { score *= 0.3; // Elements outside viewport are less visible } return Math.min(1, Math.max(0, score)); } /** * Check if element should be marked based on tag filtering */ private shouldMarkElement(element: Element, tagsToMark: string): boolean { if (!element || element.nodeType !== Node.ELEMENT_NODE) { return false; } const tagName = element.tagName.toLowerCase(); if (tagsToMark === "all") { return true; } // Standard HTML tags that are typically interactive or meaningful const standardTags = [ "a", "button", "input", "textarea", "select", "option", "form", "label", "fieldset", "legend", "img", "video", "audio", "canvas", "svg", "div", "span", "p", "h1", "h2", "h3", "h4", "h5", "h6", "ul", "ol", "li", "dl", "dt", "dd", "table", "tr", "td", "th", "tbody", "thead", "tfoot", "nav", "header", "footer", "section", "article", "aside", "main", "details", "summary", "dialog", "menu", "menuitem" ]; return standardTags.includes(tagName); } /** * Mark DOM elements with BrowserGym attributes */ public markElements(frameId: string, bidAttribute: string, tagsToMark: string): string[] { const warnings: string[] = []; try { // Get all elements in the document const allElements = document.querySelectorAll("*"); for (const element of allElements) { try { if (!this.shouldMarkElement(element, tagsToMark)) { continue; } // Assign ID only if not already present if (!element.hasAttribute(bidAttribute)) { const elementId = this.generateElementId(frameId); element.setAttribute(bidAttribute, elementId); } // Set visibility attribute const visibility = this.calculateVisibility(element); element.setAttribute(BROWSERGYM_VISIBILITY_ATTRIBUTE, visibility.toString()); // Mark interactive elements const isInteractive = this.isElementInteractive(element); if (isInteractive) { element.setAttribute(BROWSERGYM_SETOFMARKS_ATTRIBUTE, "1"); } // Store dynamic properties in data attributes this.storeDynamicProperties(element); } catch (error) { warnings.push(`Failed to mark element ${element.tagName}: ${(error as Error).message}`); } } // Mark iframe elements for recursive processing const iframes = document.querySelectorAll("iframe, frame"); for (const iframe of iframes) { try { if (!iframe.getAttribute(bidAttribute)) { const iframeId = this.generateElementId(frameId); iframe.setAttribute(bidAttribute, iframeId); } } catch (error) { warnings.push(`Failed to mark iframe: ${(error as Error).message}`); } } } catch (error) { warnings.push(`General marking error: ${(error as Error).message}`); } return warnings; } /** * Check if element is interactive */ private isElementInteractive(element: Element): boolean { const tagName = element.tagName.toLowerCase(); // Always interactive elements const interactiveTags = [ "a", "button", "input", "textarea", "select", "option", "details", "summary", "dialog", "menu", "menuitem" ]; if (interactiveTags.includes(tagName)) { return true; } // Check for click handlers const hasClickHandler = ( (element as any).onclick || element.getAttribute("onclick") || (element as HTMLElement).style.cursor === "pointer" ); if (hasClickHandler) { return true; } // Check for accessibility attributes that indicate interactivity const role = element.getAttribute("role"); const hasInteractiveRole = role !== null && [ "button", "link", "menuitem", "option", "radio", "checkbox", "slider", "spinbutton", "textbox", "combobox", "listbox" ].includes(role); return hasInteractiveRole; } /** * Store dynamic properties of elements */ private storeDynamicProperties(element: Element): void { const tagName = element.tagName.toLowerCase(); try { // Store input values if (["input", "textarea", "select"].includes(tagName)) { if (tagName === "input") { const inputElement = element as HTMLInputElement; if (inputElement.type === "checkbox" || inputElement.type === "radio") { element.setAttribute("data-browsergym-checked", inputElement.checked.toString()); } else { element.setAttribute("data-browsergym-value", inputElement.value || ""); } } else { const inputElement = element as HTMLTextAreaElement | HTMLSelectElement; element.setAttribute("data-browsergym-value", inputElement.value || ""); } } // Store selected state for options if (tagName === "option") { const optionElement = element as HTMLOptionElement; element.setAttribute("data-browsergym-selected", optionElement.selected.toString()); } // Store text content for certain elements if (["button", "a", "label"].includes(tagName)) { const textContent = element.textContent?.trim() || ""; if (textContent) { element.setAttribute("data-browsergym-text", textContent); } } } catch (error) { console.warn(`Failed to store dynamic properties for ${tagName}:`, error); } } /** * Unmark DOM elements (cleanup) */ public unmarkElements(): void { try { const elementsWithBid = document.querySelectorAll(`[${BROWSERGYM_ID_ATTRIBUTE}]`); for (const element of elementsWithBid) { // Remove BrowserGym attributes (preserve stable ID) element.removeAttribute(BROWSERGYM_VISIBILITY_ATTRIBUTE); element.removeAttribute(BROWSERGYM_SETOFMARKS_ATTRIBUTE); // Remove dynamic property attributes const dynamicAttrs = [ "data-browsergym-checked", "data-browsergym-value", "data-browsergym-selected", "data-browsergym-text" ]; for (const attr of dynamicAttrs) { element.removeAttribute(attr); } } // Reset counter this.elementIdCounter = 0; } catch (error) { console.warn("Failed to unmark elements:", error); } } /** * Get focused element with BrowserGym ID */ public getFocusedElementBid(): string { try { // Get the currently focused element, diving through shadow DOMs const getActiveElement = (root: Document | ShadowRoot): Element | null => { const activeElement = root.activeElement; if (!activeElement) { return null; } if (activeElement.shadowRoot) { return getActiveElement(activeElement.shadowRoot); } else { return activeElement; } }; const focusedElement = getActiveElement(document); if (focusedElement) { return focusedElement.getAttribute(BROWSERGYM_ID_ATTRIBUTE) || ""; } return ""; } catch (error) { console.warn("Failed to get focused element BID:", error); return ""; } } /** * Extract page content as HTML */ public extractPageContent(): string { try { return document.body.innerHTML || ""; } catch (error) { console.warn("Failed to extract page content:", error); return ""; } } /** * Extract page content as plain text */ public extractPageContentAsText(): string { try { return document.body.textContent || ""; } catch (error) { console.warn("Failed to extract page content as text:", error); return ""; } } /** * Export functions to window for external access */ private exportToWindow(): void { if (typeof window !== "undefined") { (window as any).browserGymContentScript = { markElements: this.markElements.bind(this), unmarkElements: this.unmarkElements.bind(this), getFocusedElementBid: this.getFocusedElementBid.bind(this), extractPageContent: this.extractPageContent.bind(this), extractPageContentAsText: this.extractPageContentAsText.bind(this), isElementVisible: this.isElementVisible.bind(this), calculateVisibility: this.calculateVisibility.bind(this) }; } } /** * Set up message listener for Chrome extension communication */ private setupMessageListener(): void { (globalThis as any).chrome.runtime.onMessage.addListener((request: any, sender: any, sendResponse: any) => { try { switch (request.type) { case "ping": // Simple ping/pong for content script detection sendResponse({ type: "pong", timestamp: Date.now() }); break; case "mark_elements": // Always remove existing marks before creating new ones this.unmarkElements(); const warnings = this.markElements( request.data.frameId || "", request.data.bidAttribute || BROWSERGYM_ID_ATTRIBUTE, request.data.tagsToMark || "standard_html" ); sendResponse({ type: "success", warnings: warnings }); break; case "unmark_elements": this.unmarkElements(); sendResponse({ type: "success" }); break; case "get_focused_element_bid": const focusedBid = this.getFocusedElementBid(); sendResponse({ type: "success", data: focusedBid }); break; case "get_element_rect": { try { const element = document.querySelector(`[${BROWSERGYM_ID_ATTRIBUTE}="${request.bid}"]`); if (!element) { throw new Error(`Element with dom-tree-id '${request.bid}' not found`); } const rect = (element as HTMLElement).getBoundingClientRect(); sendResponse({ type: "success", data: { left: rect.left, top: rect.top, right: rect.right, bottom: rect.bottom, width: rect.width, height: rect.height } }); } catch (error) { sendResponse({ type: "error", message: (error as Error).message }); } break; } case "extract_page_content": const content = request.data?.asText ? this.extractPageContentAsText() : this.extractPageContent(); sendResponse({ type: "success", data: content }); break; case "extract_dom_tree": try { // Use the DOM tree API that should be available globally const domTreeAPI = (window as any).DOMTreeAPI || (window as any).CUGA_DOMTreeAPI; if (!domTreeAPI) { throw new Error("DOM Tree API not available"); } const result = domTreeAPI.analyzePage({ doHighlightElements: request.data?.doHighlightElements || false, focusHighlightIndex: request.data?.focusHighlightIndex || -1, viewportExpansion: request.data?.viewportExpansion || 0, debugMode: request.data?.debugMode || false }); sendResponse({ type: "success", data: result }); } catch (error) { sendResponse({ type: "error", message: (error as Error).message }); } break; case "server_disconnected": console.log("CUGA Chrome Extension: Server disconnected, removing element marks"); this.unmarkElements(); sendResponse({ type: "success" }); break; case "select_option": { // Select dropdown / radio etc. (async () => { try { const { bid, options } = request; await this.performSelectOption(bid, options); sendResponse({ type: "success" }); } catch (error) { sendResponse({ type: "error", message: (error as Error).message }); } })(); break; } case "add_animation": { // Animation handler for CUGA const injectAnimationStyles = () => { const style = document.createElement('style'); style.id = 'ai-animation-styles'; style.textContent = ` @keyframes pulse { 0% { opacity: 0.6; transform: scale(1); } 50% { opacity: 1; transform: scale(1.03); } 100% { opacity: 0.6; transform: scale(1); } } @keyframes glowing { 0% { box-shadow: 0 0 3px 2px rgba(138, 43, 226, 0.4); } 50% { box-shadow: 0 0 10px 5px rgba(138, 43, 226, 0.8); } 100% { box-shadow: 0 0 3px 2px rgba(138, 43, 226, 0.4); } } @keyframes rotate { 0% { transform: rotate(0deg); } 100% { transform: rotate(360deg); } } .ai-highlight { position: absolute; z-index: 9998; border: 2px solid #8a2be2; border-radius: 4px; pointer-events: none; animation: glowing 1.8s infinite ease-in-out; background-color: rgba(138, 43, 226, 0.05); } .ai-icon { position: absolute; z-index: 9999; background-size: contain; background-repeat: no-repeat; width: 28px; height: 28px; pointer-events: none; } .ai-typing-icon { background-image: url("data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cGF0aCBkPSJNMTcgMTJINyIgc3Ryb2tlPSIjOGEyYmUyIiBzdHJva2Utd2lkdGg9IjIiIHN0cm9rZS1saW5lY2FwPSJyb3VuZCIgc3Ryb2tlLWxpbmVqb2luPSJyb3VuZCIvPjxwYXRoIGQ9Ik0xMiA3TDEyIDE3IiBzdHJva2U9IiM4YTJiZTIiIHN0cm9rZS13aWR0aD0iMiIgc3Ryb2tlLWxpbmVjYXA9InJvdW5kIiBzdHJva2UtbGluZWpvaW49InJvdW5kIi8+PC9zdmc+"); animation: pulse 1.5s infinite ease-in-out; } .ai-loading-icon { border: 3px solid rgba(138, 43, 226, 0.3); border-radius: 50%; border-top: 3px solid #8a2be2; animation: rotate 1s linear infinite; } .ai-success-icon { background-image: url("data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj48cGF0aCBkPSJNMjAgNkw5IDE3TDQgMTIiIHN0cm9rZT0iIzhhMmJlMiIgc3Ryb2tlLXdpZHRoPSIyIiBzdHJva2UtbGluZWNhcD0icm91bmQiIHN0cm9rZS1saW5lam9pbj0icm91bmQiLz48L3N2Zz4="); animation: pulse 1.5s infinite ease-in-out; } .ai-banner { position: fixed; bottom: 20px; left: 50%; transform: translateX(-50%); background: linear-gradient(135deg, #9c27b0, #673ab7); color: white; padding: 10px 18px; border-radius: 20px; font-family: system-ui, -apple-system, sans-serif; font-size: 14px; font-weight: 500; z-index: 10000; animation: pulse 1.5s infinite ease-in-out; pointer-events: none; box-shadow: 0 3px 10px rgba(0, 0, 0, 0.2); } .ai-focus-outline { position: absolute; z-index: 9997; pointer-events: none; border-radius: 4px; box-shadow: 0 0 0 9999px rgba(0, 0, 0, 0.15); } `; document.head.appendChild(style); }; const addAnimationToElement = (bid: string, iconType: string, bannerText: string) => { injectAnimationStyles(); const elem = document.querySelector(`[dom-tree-id="${bid}"]`); if (!elem) return { success: false, message: "Element not found" }; const rect = elem.getBoundingClientRect(); const idSuffix = Math.random().toString(36).substr(2, 6); // Create highlight const highlight = document.createElement('div'); highlight.id = `ai-highlight-${idSuffix}`; highlight.className = 'ai-highlight'; highlight.style.left = `${window.scrollX + rect.x - 3}px`; highlight.style.top = `${window.scrollY + rect.y - 3}px`; highlight.style.width = `${rect.width + 6}px`; highlight.style.height = `${rect.height + 6}px`; document.body.appendChild(highlight); // Focus outline const focusOutline = document.createElement('div'); focusOutline.id = `ai-focus-outline-${idSuffix}`; focusOutline.className = 'ai-focus-outline'; focusOutline.style.left = `${window.scrollX + rect.x - 5}px`; focusOutline.style.top = `${window.scrollY + rect.y - 5}px`; focusOutline.style.width = `${rect.width + 10}px`; focusOutline.style.height = `${rect.height + 10}px`; document.body.appendChild(focusOutline); // Icon const icon = document.createElement('div'); icon.id = `ai-icon-${idSuffix}`; icon.className = `ai-icon ai-${iconType}-icon`; icon.style.left = `${window.scrollX + rect.x + rect.width + 8}px`; icon.style.top = `${window.scrollY + rect.y + (rect.height - 28) / 2}px`; document.body.appendChild(icon); // Banner const banner = document.createElement('div'); banner.id = `ai-banner-${idSuffix}`; banner.className = 'ai-banner'; banner.textContent = bannerText; document.body.appendChild(banner); // Cleanup after 5s setTimeout(() => { [highlight, focusOutline, icon, banner].forEach(el => { if (el) { el.style.transition = 'opacity 0.5s ease-out'; el.style.opacity = '0'; } }); setTimeout(() => { [highlight, focusOutline, icon, banner].forEach(el => el && el.remove()); }, 500); }, 5000); return { success: true }; }; console.log("CUGA Chrome Extension: Adding animation to element", request.bid); const { bid, iconType, bannerText } = request; const result = addAnimationToElement(bid, iconType, bannerText); sendResponse(result); break; } default: sendResponse({ type: "error", message: `Unknown request type: ${request.type}` }); } } catch (error) { sendResponse({ type: "error", message: (error as Error).message }); } return true; // Indicates we will send a response asynchronously }); } /** * Set up page unload listener for cleanup */ private setupPageUnloadListener(): void { window.addEventListener('beforeunload', () => { console.log("CUGA Chrome Extension: Page unloading, removing element marks"); this.unmarkElements(); }); } /** * Handle select_option command. */ private async performSelectOption(bid: string, options: string | string[]): Promise { const element = document.querySelector(`[dom-tree-id="${bid}"]`); if (!element) { throw new Error(`Element with dom-tree-id '${bid}' not found`); } console.error("Select command not implemented yet"); } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/CachedXPathBuilder.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ export class CachedXPathBuilder { // Add a WeakMap cache for XPath strings private xpathCache = new WeakMap(); public getXPathTree( element: Element, stopAtBoundary: boolean = true ): string { if (this.xpathCache.has(element)) return this.xpathCache.get(element)!; const segments: string[] = []; let currentElement: Node | null = element; while (currentElement && currentElement.nodeType === Node.ELEMENT_NODE) { // Stop if we hit a shadow root or iframe if ( stopAtBoundary && (currentElement.parentNode instanceof ShadowRoot || currentElement.parentNode instanceof HTMLIFrameElement) ) { break; } const position = this.getElementPosition(currentElement as HTMLElement); const tagName = (currentElement as Element).nodeName.toLowerCase(); const xpathIndex = position > 0 ? `[${position}]` : ""; segments.unshift(`${tagName}${xpathIndex}`); currentElement = currentElement.parentNode; } const result = segments.join("/"); this.xpathCache.set(element, result); return result; } public clearCache() { this.xpathCache = new WeakMap(); } /** * Gets the position of an element in its parent. */ private getElementPosition(currentElement: HTMLElement): number { if (!currentElement.parentElement) { return 0; // No parent means no siblings } const tagName = currentElement.nodeName.toLowerCase(); const siblings = Array.from(currentElement.parentElement.children).filter( (sib) => sib.nodeName.toLowerCase() === tagName ); if (siblings.length === 1) { return 0; // Only element of its type } const index = siblings.indexOf(currentElement) + 1; // 1-based index return index; } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/DomCache.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { IDomCache as IDomCache } from "./types"; export class DomCache implements IDomCache { public boundingRects = new WeakMap(); public clientRects = new WeakMap(); public computedStyles = new WeakMap(); public clearCache = () => { this.boundingRects = new WeakMap(); this.clientRects = new WeakMap(); this.computedStyles = new WeakMap(); }; /** * Gets the cached bounding rect for an element. */ public getCachedBoundingRect(element: Element | null): DOMRect | null { if (!element) return null; if (this.boundingRects.has(element)) { return this.boundingRects.get(element) || null; } const rect = element.getBoundingClientRect(); if (rect) { this.boundingRects.set(element, rect); } return rect; } /** * Gets the cached computed style for an element. */ public getCachedComputedStyle( element: Element | null ): CSSStyleDeclaration | null { if (!element) return null; if (this.computedStyles.has(element)) { return this.computedStyles.get(element) || null; } const style = window.getComputedStyle(element as HTMLElement); if (style) { this.computedStyles.set(element, style); } return style; } /** * Gets the cached client rects for an element. */ public getCachedClientRects(element: Element | null): DOMRectList | null { if (!element) return null; if (this.clientRects.has(element)) { return this.clientRects.get(element) || null; } const rects = element.getClientRects(); if (rects) { this.clientRects.set(element, rects); } return rects; } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/DomTree.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { CachedXPathBuilder } from "./CachedXPathBuilder"; import { HIGHLIGHT_CONTAINER_ID } from "./constants"; import { DomCache } from "./DomCache"; import { ElementHighlighter } from "./ElementHighlighter"; import { NodeElementCollector } from "./NodeElementCollector"; import { NodeHelper } from "./NodeHelper"; import { PageHighlighter } from "./PageHighlighter"; import { DomTreeArgs, DomTreeResult, IDomCache, NodeData, TextNodeData, CollectedNode, } from "./types"; // Extend global interfaces for dev tools functions declare global { interface Window { getEventListeners?: (element: Element) => Record; getEventListenersForNode?: (element: Element) => any[]; } } class DomTreeBuilder { /** * Hash map of DOM nodes indexed by their highlight index. */ private DOM_HASH_MAP: Record = {}; private collectedNodes: CollectedNode[] = []; private ID = { current: 0 }; constructor( private domCache: IDomCache, private nodeValidator: NodeHelper, private nodeCollector: NodeElementCollector, private pageHighlighter: PageHighlighter, private viewportExpansion: number ) {} public buildDomTree(): { rootId: string; map: Record; } { const rootId = this.buildDomTreeRecursive(document.body); this.pageHighlighter.highlight(this.collectedNodes); const map = structuredClone(this.DOM_HASH_MAP); this.resetState(); return { rootId: rootId!, map: map }; } /** * Creates a node data object for a given node and its descendants. */ public buildDomTreeRecursive( node: Node, parentIFrame?: HTMLIFrameElement ): string | null { // Fast rejection checks first if (shouldHandleNode()) { return null; } // Special handling for root node (body) if (node === document.body) { const nodeData = this.nodeCollector.collect(document.body); // Process children of body for (const child of node.childNodes) { const domElementId = this.buildDomTreeRecursive(child); if (domElementId) nodeData.children.push(domElementId); } const id = `${this.ID.current++}`; this.DOM_HASH_MAP[id] = nodeData; this.collectedNodes.push({ node, nodeData }); return id; } // Early bailout for non-element nodes except text if ( node.nodeType !== Node.ELEMENT_NODE && node.nodeType !== Node.TEXT_NODE ) { return null; } // Process text nodes if (node.nodeType === Node.TEXT_NODE) { const textContent = node.textContent?.trim(); if (!textContent) { return null; } // Only check visibility for text nodes that might be visible const parentElement = node.parentElement; if (!parentElement || parentElement.tagName.toLowerCase() === "script") { return null; } const id = `${this.ID.current++}`; this.DOM_HASH_MAP[id] = { type: "TEXT_NODE", text: textContent, isVisible: this.isTextNodeVisible(node as Text), }; return id; } const element = node as HTMLElement; // Quick checks for element nodes if ( node.nodeType === Node.ELEMENT_NODE && !this.isElementAccepted(element) ) { return null; } // Early viewport check - only filter out elements clearly outside viewport if (this.viewportExpansion !== -1 && !element.shadowRoot) { const rect = this.domCache.getCachedBoundingRect(element); // Keep for initial quick check const style = this.domCache.getCachedComputedStyle(element); // Skip viewport check for fixed/sticky elements as they may appear anywhere const isFixedOrSticky = style && (style.position === "fixed" || style.position === "sticky"); // Check if element has actual dimensions using offsetWidth/Height (quick check) const hasSize = element.offsetWidth > 0 || element.offsetHeight > 0; // Use getBoundingClientRect for the quick OUTSIDE check. // isInExpandedViewport will do the more accurate check later if needed. if ( !rect || (!isFixedOrSticky && !hasSize && (rect.bottom < -this.viewportExpansion! || rect.top > window.innerHeight + this.viewportExpansion! || rect.right < -this.viewportExpansion! || rect.left > window.innerWidth + this.viewportExpansion!)) ) { return null; } } const nodeData = this.nodeCollector.collect(element); // Process children, with special handling for iframes and rich text editors if (element.tagName) { const tagName = element.tagName.toLowerCase(); // Handle iframes if (tagName === "iframe") { try { const iframeDoc = (element as HTMLIFrameElement).contentDocument || (element as HTMLIFrameElement).contentWindow?.document; if (iframeDoc) { for (const child of iframeDoc.childNodes) { const domElement = this.buildDomTreeRecursive( child, element as HTMLIFrameElement ); if (domElement) nodeData.children.push(domElement); } } } catch (e) { console.warn("Unable to access iframe:", e); } } // Handle rich text editors and contenteditable elements else if ( element.isContentEditable || element.getAttribute("contenteditable") === "true" || element.id === "tinymce" || element.classList.contains("mce-content-body") || (tagName === "body" && element.getAttribute("data-id")?.startsWith("mce_")) ) { // Process all child nodes to capture formatted text for (const child of element.childNodes) { const domElement = this.buildDomTreeRecursive(child, parentIFrame); if (domElement) nodeData.children.push(domElement); } } else { // Handle shadow DOM if (element.shadowRoot) { for (const child of element.shadowRoot.childNodes) { const domElement = this.buildDomTreeRecursive(child, parentIFrame); if (domElement) nodeData.children.push(domElement); } } // Handle regular elements for (const child of element.childNodes) { const domElement = this.buildDomTreeRecursive(child, parentIFrame); if (domElement) nodeData.children.push(domElement); } } } // Skip empty anchor tags only if they have no dimensions and no children if ( nodeData.tagName === "a" && nodeData.children.length === 0 && !nodeData.attributes.href ) { // Check if the anchor has actual dimensions const rect = this.domCache.getCachedBoundingRect(element); const hasSize = (rect && rect.width > 0 && rect.height > 0) || element.offsetWidth > 0 || element.offsetHeight > 0; if (!hasSize) { return null; } } const id = `${this.ID.current++}`; this.DOM_HASH_MAP[id] = nodeData; this.collectedNodes.push({ node, nodeData, parentIFrame }); return id; function shouldHandleNode() { return ( !node || (node as HTMLElement).id === HIGHLIGHT_CONTAINER_ID || (node.nodeType !== Node.ELEMENT_NODE && node.nodeType !== Node.TEXT_NODE) ); } } /** * Checks if a text node is visible. */ private isTextNodeVisible(textNode: Text): boolean { return this.nodeCollector.isTextNodeVisible(textNode); } /** * Checks if an element is accepted. */ private isElementAccepted(element: Element): boolean { return this.nodeValidator.isElementAccepted(element); } private resetState() { this.ID = { current: 0 }; this.collectedNodes = []; this.DOM_HASH_MAP = {}; } } /** * DOM Tree Builder Function * Creates a comprehensive DOM tree representation with interactive element highlighting */ export const buildDomTree = (args: DomTreeArgs): DomTreeResult => { const { doHighlightElements = true, focusHighlightIndex = -1, viewportExpansion = 0, } = args; // Add caching mechanisms at the top level const domCache: IDomCache = new DomCache(); const elementHighlighter = new ElementHighlighter(); const xPathBuilder = new CachedXPathBuilder(); const nodeHelper = new NodeHelper(domCache); const nodeCollector = new NodeElementCollector( domCache, nodeHelper, xPathBuilder, viewportExpansion ); const pageHighlighter = new PageHighlighter( elementHighlighter, nodeHelper, domCache, viewportExpansion, focusHighlightIndex, doHighlightElements ); const domTreeBuilder = new DomTreeBuilder( domCache, nodeHelper, nodeCollector, pageHighlighter, viewportExpansion ); const domTree = domTreeBuilder.buildDomTree(); // Clear the cache before starting domCache.clearCache(); xPathBuilder.clearCache(); return domTree; }; ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/ElementHighlighter.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { HIGHLIGHT_CONTAINER_ID } from "./constants"; import { OverlayData, IframeOffset, WindowWithHighlightCleanup } from "./types"; export class ElementHighlighter { /** * Hash map of DOM nodes indexed by their highlight index. */ public highlightElement( element: HTMLElement, index: number, parentIframe: HTMLIFrameElement | null = null ): number { if (!element) return index; const overlays: OverlayData[] = []; let label: HTMLElement | null = null; let labelWidth = 20; let labelHeight = 16; let cleanupFn: (() => void) | null = null; try { // Create or get highlight container let container = document.getElementById(HIGHLIGHT_CONTAINER_ID); if (!container) { container = document.createElement("div"); container.id = HIGHLIGHT_CONTAINER_ID; container.style.position = "fixed"; container.style.pointerEvents = "none"; container.style.top = "0"; container.style.left = "0"; container.style.width = "100%"; container.style.height = "100%"; // Use the maximum valid value in zIndex to ensure the element is not blocked by overlapping elements. container.style.zIndex = "2147483647"; container.style.backgroundColor = "transparent"; document.body.appendChild(container); } // Get element client rects const rects = element.getClientRects(); // Use getClientRects() if (!rects || rects.length === 0) return index; // Exit if no rects // Generate a color based on the index const colors = [ "#FF0000", "#00FF00", "#0000FF", "#FFA500", "#800080", "#008080", "#FF69B4", "#4B0082", "#FF4500", "#2E8B57", "#DC143C", "#4682B4", ]; const colorIndex = index % colors.length; const baseColor = colors[colorIndex]; const backgroundColor = baseColor + "1A"; // 10% opacity version of the color // Get iframe offset if necessary let iframeOffset: IframeOffset = { x: 0, y: 0 }; if (parentIframe) { const iframeRect = parentIframe.getBoundingClientRect(); // Keep getBoundingClientRect for iframe offset iframeOffset.x = iframeRect.left; iframeOffset.y = iframeRect.top; } // Create fragment to hold overlay elements const fragment = document.createDocumentFragment(); // Create highlight overlays for each client rect for (const rect of rects) { if (rect.width === 0 || rect.height === 0) continue; // Skip empty rects const overlay = document.createElement("div"); overlay.style.position = "fixed"; overlay.style.border = `2px solid ${baseColor}`; overlay.style.backgroundColor = backgroundColor; overlay.style.pointerEvents = "none"; overlay.style.boxSizing = "border-box"; const top = rect.top + iframeOffset.y; const left = rect.left + iframeOffset.x; overlay.style.top = `${top}px`; overlay.style.left = `${left}px`; overlay.style.width = `${rect.width}px`; overlay.style.height = `${rect.height}px`; fragment.appendChild(overlay); overlays.push({ element: overlay, initialRect: rect }); // Store overlay and its rect } // Create and position a single label relative to the first rect const firstRect = rects[0]; label = document.createElement("div"); label.className = "playwright-highlight-label"; label.style.position = "fixed"; label.style.background = baseColor; label.style.color = "white"; label.style.padding = "1px 4px"; label.style.borderRadius = "4px"; label.style.fontSize = `${Math.min(12, Math.max(8, firstRect.height / 2))}px`; const domTreeId = element.getAttribute("dom-tree-id"); label.textContent = domTreeId ? domTreeId : index.toString(); labelWidth = label.offsetWidth > 0 ? label.offsetWidth : labelWidth; // Update actual width if possible labelHeight = label.offsetHeight > 0 ? label.offsetHeight : labelHeight; // Update actual height if possible const firstRectTop = firstRect.top + iframeOffset.y; const firstRectLeft = firstRect.left + iframeOffset.x; let labelTop = firstRectTop + 2; let labelLeft = firstRectLeft + firstRect.width - labelWidth - 2; // Adjust label position if first rect is too small if ( firstRect.width < labelWidth + 4 || firstRect.height < labelHeight + 4 ) { labelTop = firstRectTop - labelHeight - 2; labelLeft = firstRectLeft + firstRect.width - labelWidth; // Align with right edge if (labelLeft < iframeOffset.x) labelLeft = firstRectLeft; // Prevent going off-left } // Ensure label stays within viewport bounds slightly better labelTop = Math.max( 0, Math.min(labelTop, window.innerHeight - labelHeight) ); labelLeft = Math.max( 0, Math.min(labelLeft, window.innerWidth - labelWidth) ); label.style.top = `${labelTop}px`; label.style.left = `${labelLeft}px`; fragment.appendChild(label); // Update positions on scroll/resize const updatePositions = (): void => { const newRects = element.getClientRects(); // Get fresh rects let newIframeOffset: IframeOffset = { x: 0, y: 0 }; if (parentIframe) { const iframeRect = parentIframe.getBoundingClientRect(); // Keep getBoundingClientRect for iframe newIframeOffset.x = iframeRect.left; newIframeOffset.y = iframeRect.top; } // Update each overlay overlays.forEach((overlayData, i) => { if (i < newRects.length) { // Check if rect still exists const newRect = newRects[i]; const newTop = newRect.top + newIframeOffset.y; const newLeft = newRect.left + newIframeOffset.x; overlayData.element.style.top = `${newTop}px`; overlayData.element.style.left = `${newLeft}px`; overlayData.element.style.width = `${newRect.width}px`; overlayData.element.style.height = `${newRect.height}px`; overlayData.element.style.display = newRect.width === 0 || newRect.height === 0 ? "none" : "block"; } else { // If fewer rects now, hide extra overlays overlayData.element.style.display = "none"; } }); // If there are fewer new rects than overlays, hide the extras if (newRects.length < overlays.length) { for (let i = newRects.length; i < overlays.length; i++) { overlays[i].element.style.display = "none"; } } // Update label position based on the first new rect if (label && newRects.length > 0) { const firstNewRect = newRects[0]; const firstNewRectTop = firstNewRect.top + newIframeOffset.y; const firstNewRectLeft = firstNewRect.left + newIframeOffset.x; let newLabelTop = firstNewRectTop + 2; let newLabelLeft = firstNewRectLeft + firstNewRect.width - labelWidth - 2; if ( firstNewRect.width < labelWidth + 4 || firstNewRect.height < labelHeight + 4 ) { newLabelTop = firstNewRectTop - labelHeight - 2; newLabelLeft = firstNewRectLeft + firstNewRect.width - labelWidth; if (newLabelLeft < newIframeOffset.x) newLabelLeft = firstNewRectLeft; } // Ensure label stays within viewport bounds newLabelTop = Math.max( 0, Math.min(newLabelTop, window.innerHeight - labelHeight) ); newLabelLeft = Math.max( 0, Math.min(newLabelLeft, window.innerWidth - labelWidth) ); label.style.top = `${newLabelTop}px`; label.style.left = `${newLabelLeft}px`; label.style.display = "block"; } else if (label) { // Hide label if element has no rects anymore label.style.display = "none"; } }; const throttleFunction = any>( func: T, delay: number ): T => { let lastCall = 0; return ((...args: Parameters) => { const now = performance.now(); if (now - lastCall < delay) return; lastCall = now; return func(...args); }) as T; }; const throttledUpdatePositions = throttleFunction(updatePositions, 16); // ~60fps window.addEventListener("scroll", throttledUpdatePositions, true); window.addEventListener("resize", throttledUpdatePositions); // Add cleanup function cleanupFn = (): void => { window.removeEventListener("scroll", throttledUpdatePositions, true); window.removeEventListener("resize", throttledUpdatePositions); // Remove overlay elements if needed overlays.forEach((overlay) => overlay.element.remove()); if (label) label.remove(); }; // Then add fragment to container in one operation container.appendChild(fragment); return index + 1; } finally { // Store cleanup function for later use if (cleanupFn) { // Keep a reference to cleanup functions in a global array const windowWithCleanup = window as WindowWithHighlightCleanup; (windowWithCleanup._highlightCleanupFunctions = windowWithCleanup._highlightCleanupFunctions || []).push(cleanupFn); } } } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/NodeElementCollector.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { CachedXPathBuilder } from "./CachedXPathBuilder"; import { NodeHelper } from "./NodeHelper"; import { DomCache } from "./DomCache"; import { NodeData, CheckPoint } from "./types"; export class NodeElementCollector { /** * */ constructor( private domCache: DomCache, private nodeHelper: NodeHelper, private xPathBuilder: CachedXPathBuilder, private viewportExpansion = 0 ) {} public collect(element: HTMLElement): NodeData { // Ensure each element has a stable incrementing "dom-tree-id" attribute const globalKey = "__CUGA_DOM_TREE_ID_COUNTER" as const; let domTreeId: number; const existingIdAttr = element.getAttribute("dom-tree-id"); if (existingIdAttr) { // Extract trailing numeric part (supports patterns like "frame:123"). const numericMatch = existingIdAttr.match(/(\d+)(?!.*\d)/); if (numericMatch) { domTreeId = parseInt(numericMatch[1], 10); // Ensure global counter is at least this value to avoid duplicates. const currentCounter = (window as any)[globalKey] ?? 0; if (domTreeId > currentCounter) { (window as any)[globalKey] = domTreeId; } } else { // Attribute exists but has no numeric component – generate new numeric id // WITHOUT overwriting the existing attribute value. const nextId = ((window as any)[globalKey] ?? 0) + 1; (window as any)[globalKey] = nextId; domTreeId = nextId; } } else { // No attribute present – generate and persist a fresh id. const nextId = ((window as any)[globalKey] ?? 0) + 1; (window as any)[globalKey] = nextId; domTreeId = nextId; try { element.setAttribute("dom-tree-id", String(domTreeId)); } catch { /* Some elements may be read-only, ignore errors */ } } // Special handling for root node (body) if (element === document.body) { const nodeData: NodeData = { tagName: "body", xpath: "/body", domTreeId: domTreeId, children: [], attributes: { "dom-tree-id": String(domTreeId) }, }; return nodeData; } const nodeData: NodeData = { tagName: element.tagName.toLowerCase(), attributes: {}, xpath: this.xPathBuilder.getXPathTree(element, true), domTreeId: domTreeId, children: [], shadowRoot: !!element.shadowRoot, }; // Get attributes for interactive elements or potential text containers // Always include the dom-tree-id attribute nodeData.attributes["dom-tree-id"] = existingIdAttr ?? String(domTreeId); if ( this.isInteractiveCandidate(element) || element.tagName.toLowerCase() === "iframe" || element.tagName.toLowerCase() === "body" ) { const attributeNames = element.getAttributeNames?.() || []; for (const name of attributeNames) { const value = element.getAttribute(name); nodeData.attributes[name] = value; } } // Perform visibility, interactivity, and highlighting checks if (element.nodeType === Node.ELEMENT_NODE) { nodeData.isVisible = this.nodeHelper.isElementVisible(element); // isElementVisible uses offsetWidth/Height, which is fine if (nodeData.isVisible) { nodeData.isTopElement = this.isTopElement(element); // Special handling for ARIA menu containers - check interactivity even if not top element const role = element.getAttribute("role"); const isMenuContainer = role === "menu" || role === "menubar" || role === "listbox"; if (nodeData.isTopElement || isMenuContainer) { nodeData.isInteractive = this.nodeHelper.isInteractiveElement(element); } } } return nodeData; } /** * Checks if an element is the topmost element at its position. */ public isTopElement(element: HTMLElement): boolean { // Special case: when viewportExpansion is -1, consider all elements as "top" elements if (this.viewportExpansion === -1) { return true; } const rects = this.domCache.getCachedClientRects(element); if (!rects || rects.length === 0) { return false; // No geometry, cannot be top } let isAnyRectInViewport = false; for (const rect of rects) { // Use the same logic as isInExpandedViewport check if ( rect.width > 0 && rect.height > 0 && !( // Only check non-empty rects ( rect.bottom < -this.viewportExpansion || rect.top > window.innerHeight + this.viewportExpansion || rect.right < -this.viewportExpansion || rect.left > window.innerWidth + this.viewportExpansion ) ) ) { isAnyRectInViewport = true; break; } } if (!isAnyRectInViewport) { return false; // All rects are outside the viewport area } // Find the correct document context and root element let doc = element.ownerDocument; // If we're in an iframe, elements are considered top by default if (doc !== window.document) { return true; } // For shadow DOM, we need to check within its own root context const shadowRoot = element.getRootNode(); if (shadowRoot instanceof ShadowRoot) { const centerX = rects[Math.floor(rects.length / 2)].left + rects[Math.floor(rects.length / 2)].width / 2; const centerY = rects[Math.floor(rects.length / 2)].top + rects[Math.floor(rects.length / 2)].height / 2; try { const topEl = shadowRoot.elementFromPoint(centerX, centerY); if (!topEl) return false; let current: Node | null = topEl; while (current && current !== shadowRoot) { if (current === element) return true; current = current.parentElement; } return false; } catch (e) { return true; } } const margin = 5; const rect = rects[Math.floor(rects.length / 2)]; // For elements in viewport, check if they're topmost. Do the check in the // center of the element and at the corners to ensure we catch more cases. const checkPoints: CheckPoint[] = [ // Initially only this was used, but it was not enough { x: rect.left + rect.width / 2, y: rect.top + rect.height / 2 }, { x: rect.left + margin, y: rect.top + margin }, // top left { x: rect.right - margin, y: rect.bottom - margin }, // bottom right ]; return checkPoints.some(({ x, y }) => { try { const topEl = document.elementFromPoint(x, y); if (!topEl) return false; let current: Element | null = topEl; while (current && current !== document.documentElement) { if (current === element) return true; current = current.parentElement; } return false; } catch (e) { return true; } }); } public isInteractiveCandidate(element: HTMLElement): boolean { if (!element || element.nodeType !== Node.ELEMENT_NODE) return false; const tagName = element.tagName.toLowerCase(); // Fast-path for common interactive elements const interactiveElements = new Set([ "a", "button", "input", "select", "textarea", "details", "summary", "label", ]); if (interactiveElements.has(tagName)) return true; // Quick attribute checks without getting full lists const hasQuickInteractiveAttr = element.hasAttribute("onclick") || element.hasAttribute("role") || element.hasAttribute("tabindex") || element.hasAttribute("aria-") || element.hasAttribute("data-action") || element.getAttribute("contenteditable") === "true"; return hasQuickInteractiveAttr; } /** * Checks if a text node is visible. */ public isTextNodeVisible(textNode: Text): boolean { try { // Special case: when this.viewportExpansion is -1, consider all text nodes as visible if (this.viewportExpansion === -1) { // Still check parent visibility for basic filtering const parentElement = textNode.parentElement; if (!parentElement) return false; try { return (parentElement as any).checkVisibility({ checkOpacity: true, checkVisibilityCSS: true, }); } catch (e) { // Fallback if checkVisibility is not supported const style = window.getComputedStyle(parentElement); return ( style.display !== "none" && style.visibility !== "hidden" && style.opacity !== "0" ); } } const range = document.createRange(); range.selectNodeContents(textNode); const rects = range.getClientRects(); // Use getClientRects for Range if (!rects || rects.length === 0) { return false; } let isAnyRectVisible = false; let isAnyRectInViewport = false; for (const rect of rects) { // Check size if (rect.width > 0 && rect.height > 0) { isAnyRectVisible = true; // Viewport check for this rect if ( !( rect.bottom < -this.viewportExpansion! || rect.top > window.innerHeight + this.viewportExpansion! || rect.right < -this.viewportExpansion! || rect.left > window.innerWidth + this.viewportExpansion! ) ) { isAnyRectInViewport = true; break; // Found a visible rect in viewport, no need to check others } } } if (!isAnyRectVisible || !isAnyRectInViewport) { return false; } // Check parent visibility const parentElement = textNode.parentElement; if (!parentElement) return false; try { return (parentElement as any).checkVisibility({ checkOpacity: true, checkVisibilityCSS: true, }); } catch (e) { // Fallback if checkVisibility is not supported const style = window.getComputedStyle(parentElement); return ( style.display !== "none" && style.visibility !== "hidden" && style.opacity !== "0" ); } } catch (e) { console.warn("Error checking text node visibility:", e); return false; } } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/NodeHelper.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { DomCache } from "./DomCache"; export class NodeHelper { /** * */ constructor(private domCache: DomCache) {} /** * Checks if an element is accepted. */ public isElementAccepted(element: Element): boolean { if (!element || !element.tagName) return false; // Always accept body and common container elements const alwaysAccept = new Set([ "body", "div", "main", "article", "section", "nav", "header", "footer", ]); const tagName = element.tagName.toLowerCase(); if (alwaysAccept.has(tagName)) return true; const leafElementDenyList = new Set([ "svg", "script", "style", "link", "meta", "noscript", "template", ]); return !leafElementDenyList.has(tagName); } /** * Checks if an element is interactive. */ public isInteractiveElement(element: HTMLElement): boolean { if (!element || element.nodeType !== Node.ELEMENT_NODE) { return false; } // Cache the tagName and style lookups const tagName = element.tagName.toLowerCase(); const style = this.domCache.getCachedComputedStyle(element); // Define interactive cursors const interactiveCursors = new Set([ "pointer", // Link/clickable elements "move", // Movable elements "text", // Text selection "grab", // Grabbable elements "grabbing", // Currently grabbing "cell", // Table cell selection "copy", // Copy operation "alias", // Alias creation "all-scroll", // Scrollable content "col-resize", // Column resize "context-menu", // Context menu available "crosshair", // Precise selection "e-resize", // East resize "ew-resize", // East-west resize "help", // Help available "n-resize", // North resize "ne-resize", // Northeast resize "nesw-resize", // Northeast-southwest resize "ns-resize", // North-south resize "nw-resize", // Northwest resize "nwse-resize", // Northwest-southeast resize "row-resize", // Row resize "s-resize", // South resize "se-resize", // Southeast resize "sw-resize", // Southwest resize "vertical-text", // Vertical text selection "w-resize", // West resize "zoom-in", // Zoom in "zoom-out", // Zoom out ]); // Define non-interactive cursors const nonInteractiveCursors = new Set([ "not-allowed", // Action not allowed "no-drop", // Drop not allowed "wait", // Processing "progress", // In progress "initial", // Initial value "inherit", // Inherited value ]); /** * Checks if an element has an interactive pointer. */ function doesElementHaveInteractivePointer(element: HTMLElement): boolean { if (element.tagName.toLowerCase() === "html") return false; if (style?.cursor && interactiveCursors.has(style.cursor)) return true; return false; } let isInteractiveCursor = doesElementHaveInteractivePointer(element); // Genius fix for almost all interactive elements if (isInteractiveCursor) { return true; } const interactiveElements = new Set([ "a", // Links "button", // Buttons "input", // All input types (text, checkbox, radio, etc.) "select", // Dropdown menus "textarea", // Text areas "details", // Expandable details "summary", // Summary element (clickable part of details) "label", // Form labels (often clickable) "option", // Select options "optgroup", // Option groups "fieldset", // Form fieldsets (can be interactive with legend) "legend", // Fieldset legends ]); // Define explicit disable attributes and properties const explicitDisableTags = new Set([ "disabled", // Standard disabled attribute "readonly", // Read-only state ]); // handle inputs, select, checkbox, radio, textarea, button and make sure they are not cursor style disabled/not-allowed if (interactiveElements.has(tagName)) { // Check for non-interactive cursor if (style?.cursor && nonInteractiveCursors.has(style.cursor)) { return false; } // Check for explicit disable attributes for (const disableTag of explicitDisableTags) { if ( element.hasAttribute(disableTag) || element.getAttribute(disableTag) === "true" || element.getAttribute(disableTag) === "" ) { return false; } } // Check for disabled property on form elements if ((element as HTMLInputElement).disabled) { return false; } // Check for readonly property on form elements if ((element as HTMLInputElement).readOnly) { return false; } // Check for inert property if ((element as any).inert) { return false; } return true; } const role = element.getAttribute("role"); const ariaRole = element.getAttribute("aria-role"); // Check for contenteditable attribute if ( element.getAttribute("contenteditable") === "true" || element.isContentEditable ) { return true; } // Added enhancement to capture dropdown interactive elements if ( element.classList && (element.classList.contains("button") || element.classList.contains("dropdown-toggle") || element.getAttribute("data-index") || element.getAttribute("data-toggle") === "dropdown" || element.getAttribute("aria-haspopup") === "true") ) { return true; } const interactiveRoles = new Set([ "button", // Directly clickable element "menu", // Menu container (ARIA menus) "menubar", // Menu bar container "menuitem", // Clickable menu item "menuitemradio", // Radio-style menu item (selectable) "menuitemcheckbox", // Checkbox-style menu item (toggleable) "radio", // Radio button (selectable) "checkbox", // Checkbox (toggleable) "tab", // Tab (clickable to switch content) "switch", // Toggle switch (clickable to change state) "slider", // Slider control (draggable) "spinbutton", // Number input with up/down controls "combobox", // Dropdown with text input "searchbox", // Search input field "textbox", // Text input field "listbox", // Selectable list "option", // Selectable option in a list "scrollbar", // Scrollable control ]); // Basic role/attribute checks const hasInteractiveRole = interactiveElements.has(tagName) || (role && interactiveRoles.has(role)) || (ariaRole && interactiveRoles.has(ariaRole)); if (hasInteractiveRole) return true; // check whether element has event listeners by window.getEventListeners try { if (typeof window.getEventListeners === "function") { const listeners = window.getEventListeners(element); const mouseEvents = ["click", "mousedown", "mouseup", "dblclick"]; for (const eventType of mouseEvents) { if (listeners[eventType] && listeners[eventType].length > 0) { return true; // Found a mouse interaction listener } } } const getEventListenersForNode = element?.ownerDocument?.defaultView?.getEventListenersForNode || window.getEventListenersForNode; if (typeof getEventListenersForNode === "function") { const listeners = getEventListenersForNode(element); const interactionEvents = [ "click", "mousedown", "mouseup", "keydown", "keyup", "submit", "change", "input", "focus", "blur", ]; for (const eventType of interactionEvents) { for (const listener of listeners) { if (listener.type === eventType) { return true; // Found a common interaction listener } } } } // Fallback: Check common event attributes if getEventListeners is not available const commonMouseAttrs = [ "onclick", "onmousedown", "onmouseup", "ondblclick", ]; for (const attr of commonMouseAttrs) { if ( element.hasAttribute(attr) || typeof (element as any)[attr] === "function" ) { return true; } } } catch (e) { // If checking listeners fails, rely on other checks } return false; } /** * Checks if an element is visible. */ public isElementVisible(element: HTMLElement): boolean { const style = this.domCache.getCachedComputedStyle(element); return ( element.offsetWidth > 0 && element.offsetHeight > 0 && style?.visibility !== "hidden" && style?.display !== "none" ); } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/PageHighlighter.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { NodeHelper } from "./NodeHelper"; import { ElementHighlighter } from "./ElementHighlighter"; import { DomCache } from "./DomCache"; import { CollectedNode, NodeData, TextNodeData } from "./types"; export class PageHighlighter { highlightIndex: number; constructor( private elementHighlighter: ElementHighlighter, private nodeHelper: NodeHelper, private domCache: DomCache, private viewportExpansion = 0, private focusHighlightIndex = -1, private doHighlightElements = true ) { this.highlightIndex = 0; } /** * Handles the logic for deciding whether to highlight elements on page and performing the highlight. */ public highlight(collectedNodes: CollectedNode[]) { const highlightedNodes: Node[] = []; // Check if there's an active listbox that should restrict highlighting const activeListbox = this.findActiveListbox(collectedNodes); for (const { node, nodeData, parentIFrame: parentIframe, } of collectedNodes) { if (this.isTextNode(nodeData)) continue; if (!this.isElementNode(node)) continue; // If there's an active listbox, only highlight listbox-related elements if (activeListbox && !this.isListboxRelatedElement(node as HTMLElement, activeListbox)) { continue; } let isParentHighlighted = (node.parentElement && highlightedNodes.includes(node.parentElement)) || false; let highlighted = this.handleHighlighting( nodeData, node, parentIframe, isParentHighlighted ); if (highlighted) highlightedNodes.push(node); } } public handleHighlighting( nodeData: NodeData, node: HTMLElement, parentIframe: HTMLIFrameElement | undefined, isParentHighlighted: boolean ): boolean { if (!nodeData.isInteractive) return false; // Not interactive, definitely don't highlight let shouldHighlight = false; if (!isParentHighlighted) { // Parent wasn't highlighted, this interactive node can be highlighted. shouldHighlight = true; } else { // Parent *was* highlighted. Only highlight this node if it represents a distinct interaction. if (this.isElementDistinctInteraction(node)) { shouldHighlight = true; } else { shouldHighlight = false; } } if (shouldHighlight) { // When this.viewportExpansion is -1, all interactive elements should get a highlight index // regardless of viewport status // Check viewport status before assigning index and highlighting nodeData.isInViewport = this.isInExpandedViewport(node); if (nodeData.isInViewport || this.viewportExpansion === -1) { nodeData.highlightIndex = this.highlightIndex++; if (!this.doHighlightElements) return false; if (this.focusHighlightIndex >= 0) { if (this.focusHighlightIndex === nodeData.highlightIndex) { this.elementHighlighter.highlightElement( node, nodeData.highlightIndex, parentIframe ); } } else { this.elementHighlighter.highlightElement( node, nodeData.highlightIndex, parentIframe ); } return true; // Successfully highlighted } } return false; // Did not highlight } /** * Checks if an element is within the expanded viewport. */ public isInExpandedViewport(element: HTMLElement): boolean { if (this.viewportExpansion === -1) { return true; } const rects = element.getClientRects(); // Use getClientRects if (!rects || rects.length === 0) { // Fallback to getBoundingClientRect if getClientRects is empty, // useful for elements like that might not have client rects but have a bounding box. const boundingRect = this.domCache.getCachedBoundingRect(element); if ( !boundingRect || boundingRect.width === 0 || boundingRect.height === 0 ) { return false; } return !( boundingRect.bottom < -this.viewportExpansion || boundingRect.top > window.innerHeight + this.viewportExpansion || boundingRect.right < -this.viewportExpansion || boundingRect.left > window.innerWidth + this.viewportExpansion ); } // Check if *any* client rect is within the viewport for (const rect of rects) { if (rect.width === 0 || rect.height === 0) continue; // Skip empty rects if ( !( rect.bottom < -this.viewportExpansion || rect.top > window.innerHeight + this.viewportExpansion || rect.right < -this.viewportExpansion || rect.left > window.innerWidth + this.viewportExpansion ) ) { return true; // Found at least one rect in the viewport } } return false; // No rects were found in the viewport } private isTextNode( nodeData: NodeData | TextNodeData ): nodeData is TextNodeData { return "type" in nodeData && nodeData.type === "TEXT_NODE"; } private isElementNode(node: Node): node is HTMLElement { return node.nodeType === Node.ELEMENT_NODE; } /** * Heuristically determines if an element should be considered as independently interactive, * even if it's nested inside another interactive container. */ private isHeuristicallyInteractive(element: HTMLElement): boolean { if (!element || element.nodeType !== Node.ELEMENT_NODE) return false; // Skip non-visible elements early for performance if (!this.nodeHelper.isElementVisible(element)) return false; // Check for common attributes that often indicate interactivity const hasInteractiveAttributes = element.hasAttribute("role") || element.hasAttribute("tabindex") || element.hasAttribute("onclick") || typeof element.onclick === "function"; // Check for semantic class names suggesting interactivity const hasInteractiveClass = /\b(btn|clickable|menu|item|entry|link)\b/i.test(element.className || ""); // Determine whether the element is inside a known interactive container const isInKnownContainer = Boolean( element.closest('button,a,[role="button"],.menu,.dropdown,.list,.toolbar') ); // Ensure the element has at least one visible child (to avoid marking empty wrappers) const hasVisibleChildren = [...element.children].some((child) => this.nodeHelper.isElementVisible(child as HTMLElement) ); // Avoid highlighting elements whose parent is (top-level wrappers) const isParentBody = element.parentElement && element.parentElement.isSameNode(document.body); return ( (this.nodeHelper.isInteractiveElement(element) || hasInteractiveAttributes || hasInteractiveClass) && hasVisibleChildren && isInKnownContainer && !isParentBody ); } /** * Checks if an element likely represents a distinct interaction * separate from its parent (if the parent is also interactive). */ private isElementDistinctInteraction(element: HTMLElement): boolean { const INTERACTIVE_ROLES = new Set([ "button", "link", "menuitem", "menuitemradio", "menuitemcheckbox", "radio", "checkbox", "tab", "switch", "slider", "spinbutton", "combobox", "searchbox", "textbox", "listbox", "option", "scrollbar", ]); const DISTINCT_INTERACTIVE_TAGS = new Set([ "a", "button", "input", "select", "textarea", "summary", "details", "label", "option", ]); if (!element || element.nodeType !== Node.ELEMENT_NODE) { return false; } const tagName = element.tagName.toLowerCase(); const role = element.getAttribute("role"); // Check if it's an iframe - always distinct boundary if (tagName === "iframe") { return true; } // Check tag name if (DISTINCT_INTERACTIVE_TAGS.has(tagName)) { return true; } // Check interactive roles if (role && INTERACTIVE_ROLES.has(role)) { return true; } // Check contenteditable if ( element.isContentEditable || element.getAttribute("contenteditable") === "true" ) { return true; } // Check for common testing/automation attributes if ( element.hasAttribute("data-testid") || element.hasAttribute("data-cy") || element.hasAttribute("data-test") ) { return true; } // Check for explicit onclick handler (attribute or property) if ( element.hasAttribute("onclick") || typeof element.onclick === "function" ) { return true; } // Check for other common interaction event listeners try { const getEventListenersForNode = element?.ownerDocument?.defaultView?.getEventListenersForNode || window.getEventListenersForNode; if (typeof getEventListenersForNode === "function") { const listeners = getEventListenersForNode(element); const interactionEvents = [ "click", "mousedown", "mouseup", "keydown", "keyup", "submit", "change", "input", "focus", "blur", ]; for (const eventType of interactionEvents) { for (const listener of listeners) { if (listener.type === eventType) { return true; // Found a common interaction listener } } } } // Fallback: Check common event attributes if getEventListeners is not available const commonEventAttrs = [ "onmousedown", "onmouseup", "onkeydown", "onkeyup", "onsubmit", "onchange", "oninput", "onfocus", "onblur", ]; if (commonEventAttrs.some((attr) => element.hasAttribute(attr))) { return true; } } catch (e) { // If checking listeners fails, rely on other checks } // if the element is not strictly interactive but appears clickable based on heuristic signals if (this.isHeuristicallyInteractive(element)) { return true; } // Default to false: if it's interactive but doesn't match above, // assume it triggers the same action as the parent. return false; } /** * Finds an active listbox that should restrict highlighting to its options */ private findActiveListbox(collectedNodes: CollectedNode[]): HTMLElement | null { for (const { node, nodeData } of collectedNodes) { if (!this.isElementNode(node)) continue; if (this.isTextNode(nodeData)) continue; const element = node as HTMLElement; const role = element.getAttribute("role"); // Check for listbox that is visible and in viewport if (role === "listbox" && nodeData.isVisible && nodeData.isInViewport !== false) { return element; } } return null; } /** * Checks if an element is related to the listbox (only its options, not the listbox itself) */ private isListboxRelatedElement(element: HTMLElement, listbox: HTMLElement): boolean { // Don't highlight the listbox itself if (element === listbox) return false; // Check if element is a descendant of the listbox if (listbox.contains(element)) return true; // Check if element has option role (even if not a direct descendant) const role = element.getAttribute("role"); if (role === "option") return true; return false; } } ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/constants.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ export const HIGHLIGHT_CONTAINER_ID = "playwright-highlight-container"; ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/dom_tree_module.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ import { Module } from "runtime"; import { buildDomTree } from "./DomTree"; import { DomTreeArgs, DomTreeResult } from "./types"; /** * DOM Tree Module Implementation * Provides a module interface for managing DOM tree analysis and highlighting */ export class DOMTreeModule implements Module { private isRunning = false; private currentResult: DomTreeResult | null = null; private messageListener: ((event: MessageEvent) => void) | null = null; /** * Start the DOM tree module */ start(): void { if (this.isRunning) { console.warn("⚠️ DOMTreeModule is already running"); return; } console.log("🚀 Starting DOMTreeModule...", { window: !!window, document: !!document, location: window.location?.href, readyState: document.readyState, }); this.isRunning = true; // Set up message listener for commands this.messageListener = (event: MessageEvent) => { this.handleMessage(event); }; // Listen for messages from extension background or popup window.addEventListener("message", this.messageListener); console.log("📨 Message listener added"); // Wait for DOM to be ready before exposing API if (document.readyState === "loading") { document.addEventListener("DOMContentLoaded", () => { console.log("📄 DOM loaded, exposing API..."); this.exposeGlobalAPI(); }); } else { // DOM is already ready console.log("📄 DOM already ready, exposing API..."); this.exposeGlobalAPI(); } console.log("✅ DOMTreeModule startup complete"); } /** * Stop the DOM tree module */ stop(): void { if (!this.isRunning) { console.warn("DOMTreeModule is not running"); return; } console.log("Stopping DOMTreeModule"); this.isRunning = false; // Remove message listener if (this.messageListener) { window.removeEventListener("message", this.messageListener); this.messageListener = null; } // Clean up any existing highlights this.clearHighlights(); // Remove global API this.removeGlobalAPI(); console.log("DOMTreeModule stopped successfully"); } /** * Handle incoming messages */ private handleMessage(event: MessageEvent): void { if (event.source !== window) return; const { data } = event; if (!data || typeof data !== "object") return; switch (data.type) { case "DOM_TREE_ANALYZE": this.handleAnalyzeCommand(data.args || {}); break; case "DOM_TREE_HIGHLIGHT": this.handleHighlightCommand(data.args || {}); break; case "DOM_TREE_CLEAR_HIGHLIGHTS": this.clearHighlights(); break; case "DOM_TREE_GET_RESULT": this.sendCurrentResult(); break; default: // Ignore unknown message types break; } } /** * Handle analyze command */ private handleAnalyzeCommand(args: DomTreeArgs): void { try { const result = this.analyzePage(args); this.currentResult = result; // Send result back window.postMessage( { type: "DOM_TREE_ANALYZE_RESULT", result: result, success: true, }, "*" ); console.log("DOM analysis completed:", { totalNodes: Object.keys(result.map).length, rootId: result.rootId, }); } catch (error) { console.error("DOM analysis failed:", error); window.postMessage( { type: "DOM_TREE_ANALYZE_RESULT", error: error instanceof Error ? error.message : "Unknown error", success: false, }, "*" ); } } /** * Handle highlight command */ private handleHighlightCommand(args: DomTreeArgs): void { try { const result = this.analyzePage({ ...args, doHighlightElements: true, }); this.currentResult = result; window.postMessage( { type: "DOM_TREE_HIGHLIGHT_RESULT", result: result, success: true, }, "*" ); console.log("DOM highlighting completed"); } catch (error) { console.error("DOM highlighting failed:", error); window.postMessage( { type: "DOM_TREE_HIGHLIGHT_RESULT", error: error instanceof Error ? error.message : "Unknown error", success: false, }, "*" ); } } /** * Send current result */ private sendCurrentResult(): void { window.postMessage( { type: "DOM_TREE_CURRENT_RESULT", result: this.currentResult, success: true, }, "*" ); } /** * Analyze the page DOM */ public analyzePage(args: DomTreeArgs = {}): DomTreeResult { // Clear any existing highlights before running new analysis if (args.doHighlightElements) { this.clearHighlights(); } return buildDomTree(args); } /** * Clear all highlights from the page */ public clearHighlights(): void { // Remove highlight container if it exists const container = document.getElementById("playwright-highlight-container"); if (container) { container.remove(); } // Call cleanup functions if they exist const windowWithCleanup = window as any; if ( windowWithCleanup._highlightCleanupFunctions && Array.isArray(windowWithCleanup._highlightCleanupFunctions) ) { windowWithCleanup._highlightCleanupFunctions.forEach((fn: () => void) => { try { fn(); } catch (e) { console.warn("Error calling highlight cleanup function:", e); } }); windowWithCleanup._highlightCleanupFunctions = []; } } /** * Get current analysis result */ public getCurrentResult(): DomTreeResult | null { return this.currentResult; } /** * Check if module is running */ public isModuleRunning(): boolean { return this.isRunning; } /** * Expose global API for direct access */ private exposeGlobalAPI(): void { const globalAPI = { analyzePage: (args?: DomTreeArgs) => this.analyzePage(args), clearHighlights: () => this.clearHighlights(), getCurrentResult: () => this.getCurrentResult(), isRunning: () => this.isModuleRunning(), // Add debugging info debug: { moduleInstance: this, exposedAt: new Date().toISOString(), context: "content-script", }, }; try { // Expose under a namespace to avoid conflicts (window as any).DOMTreeAPI = globalAPI; // Also expose under a debug namespace for troubleshooting (window as any).CUGA_DOMTreeAPI = globalAPI; // Log successful exposure console.log("✅ DOMTreeAPI exposed successfully", { window: !!window, globalAPI: !!globalAPI, DOMTreeAPI: !!(window as any).DOMTreeAPI, timestamp: new Date().toISOString(), }); // Dispatch a custom event to notify that API is ready window.dispatchEvent( new CustomEvent("DOMTreeAPI:ready", { detail: { api: globalAPI }, }) ); } catch (error) { console.error("❌ Failed to expose DOMTreeAPI:", error); } } /** * Remove global API */ private removeGlobalAPI(): void { delete (window as any).DOMTreeAPI; } } // Default export for backward compatibility export default buildDomTree; ================================================ FILE: src/frontend_workspaces/extension/src/content/page_analysis/types.d.ts ================================================ /* * Copyright (c) 2024 Gregor Zunic * Modifications Copyright 2025 CUGA * Licensed under the Apache License, Version 2.0 * Original code licensed under MIT License */ // TypeScript interfaces and types export interface DomTreeArgs { doHighlightElements?: boolean; focusHighlightIndex?: number; viewportExpansion?: number; debugMode?: boolean; } export interface IDomCache { boundingRects: WeakMap; clientRects: WeakMap; computedStyles: WeakMap; clearCache(): void; getCachedClientRects(element: Element | null): DOMRectList | null; getCachedComputedStyle(element: Element | null): CSSStyleDeclaration | null; getCachedBoundingRect(element: Element | null): DOMRect | null; } export interface IframeOffset { x: number; y: number; } export interface OverlayData { element: HTMLElement; initialRect: DOMRect; } export interface CheckPoint { x: number; y: number; } export interface NodeData { tagName: string; attributes: Record; xpath: string; domTreeId?: number; children: string[]; isVisible?: boolean; isTopElement?: boolean; isInteractive?: boolean; isInViewport?: boolean; highlightIndex?: number; shadowRoot?: boolean; } export type CollectedNode = { node: Node; nodeData: NodeData | TextNodeData; parentIFrame?: HTMLIFrameElement; }; export interface TextNodeData { type: "TEXT_NODE"; text: string; isVisible: boolean; } export interface DomTreeResult { rootId: string; map: Record; } export interface WindowWithHighlightCleanup extends Window { _highlightCleanupFunctions?: (() => void)[]; } export type DomTreeArgs = { doHighlightElements: true; focusHighlightIndex: -1; viewportExpansion: 0; debugMode: false; }; ================================================ FILE: src/frontend_workspaces/extension/src/content/worker.connection.ts ================================================ import browser from "webextension-polyfill"; import log from "loglevel"; import * as responses from "runtime/responses"; import { Command, Channels, RuntimeContext, uuidv4 } from "runtime"; import { ExponentialBackoff, retry, handleAll, handleWhen } from "cockatiel"; import { resolve } from "path"; /** * Provides a mechanism to connect to the service worker and listen for commands. */ export class WorkerConnection { private logger = log.getLogger("ibm.content.WorkerConnection"); private isFrame = window.top !== window.self; private port: browser.Runtime.Port | undefined; private onMessageBound: (command: Command) => void; private onDisconnectBound: (command: browser.Runtime.Port) => void; private checkingStatus: boolean = false; private lastChecked: number | undefined = undefined; constructor( private channel: string = Channels.PU, private rutimeContext: RuntimeContext, ) { //NOTE: this is needed because the '.bind(this)' creates a new function, and '.removeListener' needs the exact same function to remove. this.onMessageBound = this.onMessage.bind(this); this.onDisconnectBound = this.onDisconnect.bind(this); } private async onMessage(command: Command): Promise { try { if (command.type.startsWith("nl2ui.page.internal.")) return; if (command.type == undefined) throw Error(`The command 'type' is required and it was not specified: ${JSON.stringify(command)}`); if (command.id == undefined || command.id == "") throw Error(`The command 'id' is required and it was not specified: ${JSON.stringify(command)}`); if (command.type == "pu.connection.keep-alive") { this.port?.postMessage(new responses.Response(command.id, true)); return; } this.logger.info( `${this.isFrame ? "Frame" : "Window"} '${document.location.href}', on channel '${ this.port!.name }', received command of type '${command.type}'`, command, ); const response = await this.rutimeContext.execute(command); this.safePostMessage(response); } catch (error: any) { this.logger.error(`Error handling command '${command.type}'`, error); this.port!.postMessage(new responses.Response(command.id, undefined, error)); } } private async onDisconnect(): Promise { this.ensureConnected(); } public safePostMessage(message: any): void { const timeout = 1000 * 30; const maxAttempts = 10; const policy = handleWhen((error) => error.message.toLowerCase().includes("Attempting to use a disconnected port object"), ); const retryPolicy = retry(policy, { maxAttempts: maxAttempts, backoff: new ExponentialBackoff({ maxDelay: timeout, initialDelay: 500 }), }); retryPolicy.onRetry(() => { this.ensureConnected(true); }); retryPolicy.execute(() => { this.port!.postMessage(message); }); } public connect(): void { this.port = browser.runtime.connect({ name: this.channel }); this.port.onMessage.addListener(this.onMessageBound); this.port.onDisconnect.addListener(this.onDisconnectBound); /** * We need to disconnect the content script as soon as the browser navigates to another page. * The browser extension will eventually disconnect the content script, but it might take a while. * In this little time that it takes, the service worker will try to use a 'soon to be disconnected' port to send messages to when running automations that navigates to different pages. * * Although 'unload' event is not recommended, it's the only event that works when the page is being redirected/navigated. * - 'pagehide' only works when the page is refreshed * - 'visibilitychange' triggers when you minimize the browser, which we don't want to trigger the 'disconnect'. * Read more about page lifecycle (https://developer.chrome.com/docs/web-platform/page-lifecycle-api). */ window.addEventListener("unload", () => { this.disconnect(); }); const handleStateChange = () => { if (document.visibilityState === "visible" && document.hasFocus()) this.ensureConnected(); }; ["pageshow", "focus", "blur", "visibilitychange", "resume"].forEach((type) => { window.addEventListener(type, handleStateChange, { capture: true }); }); } public async ensureConnected(force: boolean = false): Promise { if (force || !this.port || (this.port && this.port?.error)) { return this.reconnect(); } if (this.canRetryChecking()) return; this.checkingStatus = true; const portStatus = await this.getPortClosed(); this.lastChecked = new Date().getTime(); if (!portStatus) this.reconnect(); this.checkingStatus = false; } private canRetryChecking(): boolean { if (this.checkingStatus) return false; if (!this.lastChecked) return true; return this.lastChecked + 1000 > new Date().getTime(); } reconnect() { log.info("Forcing port reconnection"); this.disconnect(); this.connect(); } private async getPortClosed() { return new Promise((resolve) => { const id = uuidv4(); if (!this.port) { resolve(true); return; } try { // Send a message to check the connection this.port.postMessage({ id: id, type: "nl2ui.page.internal.checkportstatus" }); resolve(true); } catch (error: any) { console.warn("error checking the port connection", error); resolve(false); } }); } public disconnect(): void { this.port?.onMessage.removeListener(this.onMessageBound); this.port?.disconnect(); this.port = undefined; } } ================================================ FILE: src/frontend_workspaces/extension/src/entrypoints/background.ts ================================================ import "../symbol.dispose.polyfill"; import browser from "webextension-polyfill"; import log from "loglevel"; import logPrefix from "loglevel-plugin-prefix"; import { SidePanel } from "../worker/sidepanel.module"; import { defineBackground } from "wxt/utils/define-background"; import { HttpStreamModule } from "../worker/http.stream.module"; export default defineBackground(() => { logPrefix.reg(log); logPrefix.apply(log, { template: "[%t] %l %n:" }); log.enableAll(); const modules = [ new HttpStreamModule(), new SidePanel(), ]; for (const module of modules) module.start(); browser.runtime.onSuspend.addListener(() => { for (const module of modules) module.stop(); }); browser.runtime.onSuspendCanceled.addListener(() => { for (const module of modules) module.start(); }); }); ================================================ FILE: src/frontend_workspaces/extension/src/entrypoints/content.tsx ================================================ import "../symbol.dispose.polyfill"; import log from "loglevel"; import logPrefix from "loglevel-plugin-prefix"; import { Module } from "runtime"; import { DOMTreeModule } from "../content/page_analysis/dom_tree_module"; import { FrameMarkElementsModule } from "../content/frame.mark.elements"; export default defineContentScript({ matches: [""], allFrames: true, main() { console.log("Hello content."); logPrefix.reg(log); logPrefix.apply(log, { template: "[%t] %l %n:" }); log.enableAll(); const modules: Module[] = [new FrameMarkElementsModule(), new DOMTreeModule()]; for (const module of modules) module.start(); }, }); ================================================ FILE: src/frontend_workspaces/extension/src/entrypoints/sidepanel/index.html ================================================ test
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.rpa-class-success { color: green; } .rpa-shift-left { padding-right: 24%; } @keyframes append-animate { from { transform: scale(0); opacity: 0; } to { transform: scale(1); opacity: 1; } } @keyframes pulse { 0% { -moz-box-shadow: 0 0 0 0 rgba(246, 83, 38, 0.852); box-shadow: 0 0 0 0 rgba(246, 83, 38, 0.852); } 70% { -moz-box-shadow: 0 0 0 10px rgba(204, 169, 44, 0); box-shadow: 0 0 0 10px rgba(204, 169, 44, 0); } 100% { -moz-box-shadow: 0 0 0 0 rgba(204, 169, 44, 0); box-shadow: 0 0 0 0 rgba(204, 169, 44, 0); } } .rpa-pulse { outline: rgba(212, 176, 223, 1) dashed 4px; /* animation: pulse 2s linear 2; */ } .context-menu { background-color: #ffffff; border: 1px solid #c0c0c0; border-radius: 5px; padding: 10px; position: absolute; z-index: 1000; } .context-menu ul { list-style: none; margin: 0; padding: 0; } .context-menu li { padding: 10px; cursor: pointer; } .context-menu li:hover { background-color: #e0e0e0; } .popup { position: fixed; z-index: 2147483647; padding: 50px; text-align: 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/*! * fill-range * * Copyright (c) 2014-present, Jon Schlinkert. * Licensed under the MIT License. */ /*! * is-number * * Copyright (c) 2014-present, Jon Schlinkert. * Released under the MIT License. */ /*! * to-regex-range * * Copyright (c) 2015-present, Jon Schlinkert. * Released under the MIT License. */ /*! https://mths.be/cssesc v3.0.0 by @mathias */ ================================================ FILE: src/frontend_workspaces/extension/src/functions.ts ================================================ export type ManifestVersion = "v2" | "v3"; export function getManifestVersion(): ManifestVersion { // @ts-ignore //NOTE: __NL2UI_MANIFEST_VERSION__ is set by 'vite' building system according to our configuration in 'vite.config.ts' file. const manifest = import.meta.env.MANIFEST_VERSION; const manifest_version = ("v" + manifest) as ManifestVersion; return manifest_version; } ================================================ FILE: src/frontend_workspaces/extension/src/manifest.chrome.json ================================================ { "name": "CUGA", "description": "CUGA is a generalist agent that can perform any task using web and api tools.", "version": "1.0.0", "manifest_version": 3, "minimum_chrome_version": "116", "icons": { "16": "assets/cuga-logo.png", "48": "assets/cuga-logo.png", "128": "assets/cuga-logo.png" }, "background": { "service_worker": "src/background.ts", "type": "module" }, "side_panel": { "default_path": "src/assets/sidepanel.html" }, "host_permissions": ["*://*/*"], "permissions": [ "activeTab", "tabs", "identity", "sidePanel", "storage", "webNavigation", "debugger", "webRequest", "contextMenus", "scripting" ], "content_security_policy": { "extension_pages": "script-src 'self'; object-src 'self';" }, "content_scripts": [ { "all_frames": true, "matches": [""], "js": ["src/content.tsx"] }, { "matches": [""], "css": ["src/assets/sidepanel.css"] } ], "action": {} } ================================================ FILE: src/frontend_workspaces/extension/src/manifest.firefox.json ================================================ { "name": "CUGA", "description": "CUGA is a generalist agent that can perform any task using web and api tools.", "version": "1.0.0", "manifest_version": 2, "browser_specific_settings": { "gecko": { "strict_min_version": "96" } }, "icons": { "16": "assets/cuga-logo.png", "48": "assets/cuga-logo.png", "128": "assets/cuga-logo.png" }, "background": { "scripts": ["src/background.ts"] }, "permissions": [ "activeTab", "tabs", "webNavigation", "debugger", "webRequest", "contextMenus", "scripting", "*://*/*" ], "content_scripts": [ { "all_frames": true, "matches": [""], "js": ["src/content.ts"] }, { "matches": [""], "css": ["./src/assets/sidepanel.css"] } ], "browser_action": {} } ================================================ FILE: src/frontend_workspaces/extension/src/symbol.dispose.polyfill.js ================================================ if (typeof Symbol.dispose !== "symbol") Object.defineProperty(Symbol, "dispose", { configurable: false, enumerable: false, writable: false, value: Symbol.for("dispose") }) if (typeof Symbol.asyncDispose !== "symbol") Object.defineProperty(Symbol, "asyncDispose", { configurable: false, enumerable: false, writable: false, value: Symbol.for("asyncDispose") }) ================================================ FILE: src/frontend_workspaces/extension/src/vite-env.d.ts ================================================ /// /// ================================================ FILE: src/frontend_workspaces/extension/src/worker/http.stream.module.ts ================================================ // HTTP streaming background worker for extension <-> backend communication // Similar API to websocket.module.ts, but uses EventSource and POST import { sleep } from "runtime"; const SERVER_BASE = process.env.REACT_APP_API_URL || "http://localhost:7860"; const COMMAND_STREAM_URL = `${SERVER_BASE}/extension/command_stream`; const COMMAND_RESULT_URL = `${SERVER_BASE}/extension/command_result`; export class HttpStreamModule { private eventSource: EventSource | null = null; private isConnected: boolean = false; // Track pending agent queries from popup private pendingAgentQueries: Map void> = new Map(); start(): void { this.connectToCommandStream(); this.setupEventListeners(); } stop(): void { if (this.eventSource) { this.eventSource.close(); this.eventSource = null; } this.isConnected = false; } private connectToCommandStream(): void { this.eventSource = new EventSource(COMMAND_STREAM_URL); this.eventSource.onopen = () => { console.log("[HTTP-STREAM] Connected to command stream"); this.isConnected = true; }; this.eventSource.onerror = (err) => { console.error("[HTTP-STREAM] EventSource error", err); this.isConnected = false; }; this.eventSource.onmessage = async (event) => { try { const cmd = JSON.parse(event.data); console.log("[HTTP-STREAM] Received command:", cmd); // If this is an agent response, forward to popup if needed if (cmd.type === "agent_response" || cmd.type === "agent_complete" || cmd.type === "agent_error") { // If this was initiated by a popup, resolve the pending promise if (cmd.request_id && this.pendingAgentQueries.has(cmd.request_id)) { const resolver = this.pendingAgentQueries.get(cmd.request_id); if (resolver) { resolver(cmd); } this.pendingAgentQueries.delete(cmd.request_id); } // Forward to popup (if open) try { await (globalThis as any).chrome.runtime.sendMessage({ source: 'background', ...cmd }); console.log("[HTTP-STREAM] Forwarded agent message to popup:", cmd.type); } catch (error) { // Popup might not be open, which is fine console.log("[HTTP-STREAM] Could not forward message to popup (popup might be closed):", (error as Error).message); } return; } const result = await this.executeCommand(cmd); await this.sendCommandResult(cmd.request_id, result); } catch (e) { console.error("[HTTP-STREAM] Failed to process command:", e); } }; } private async sendCommandResult(requestId: string, result: any): Promise { try { await fetch(COMMAND_RESULT_URL, { method: "POST", headers: { "Content-Type": "application/json" }, body: JSON.stringify({ request_id: requestId, ...result }) }); console.log("[HTTP-STREAM] Sent command result for", requestId); } catch (e) { console.error("[HTTP-STREAM] Failed to send command result:", e); } } // --- Command execution logic (reuse from websocket.module.ts) --- private async executeCommand(cmd: any): Promise { switch (cmd.type) { case "ping": return { type: "pong", timestamp: Date.now() }; case "mark_elements": return await this.handleMarkElements(cmd.data); case "unmark_elements": return await this.handleUnmarkElements(); case "extract_dom_snapshot": return await this.handleExtractDomSnapshot(cmd.data); case "extract_accessibility_tree": return await this.handleExtractAccessibilityTree(); case "extract_dom_tree": return await this.handleExtractDomTree(cmd.data); case "extract_screenshot": return await this.handleExtractScreenshot(cmd.data); case "extract_focused_element_bid": return await this.handleExtractFocusedElementBid(cmd.data); case "extract_page_content": return await this.handleExtractPageContent(cmd.data); case "get_active_tab_url": return await this.handleGetActiveTabUrl(); case "get_active_tab_title": return await this.handleGetActiveTabTitle(); case "browser_command": return await this.handleBrowserCommand(cmd.command, cmd.args, cmd.request_id); default: return { type: "error", message: `Unknown command type: ${cmd.type}` }; } } private async handleBrowserCommand(command: string, args: any, requestId: string): Promise { try { switch (command) { case "click": return await this.handleClickCommand(args); case "type": return await this.handleTypeCommand(args); case "add_animation": return await this.handleAddAnimation(args); case "select_option": return await this.handleSelectOption(args); default: return { type: "error", message: `Unknown browser command: ${command}` }; } } catch (e: any) { return { type: "error", message: e.message || String(e) }; } } // --- The following methods are adapted from websocket.module.ts --- private async handleClickCommand(args: any): Promise { const activeTab = await this.getActiveTab(); if (!activeTab) { throw new Error("No active tab found"); } const { bid, button = "left", modifiers = [] } = args; if (!bid) { throw new Error("BID is required for click command"); } console.log(`[CUGA] Clicking element with BID: ${bid}, button: ${button}, modifiers: ${modifiers}`); let nodeId = await this.findElementByDomTreeId(activeTab.id, bid); if (!nodeId) { throw new Error(`Element with BID '${bid}' not found`); } // --- Redirect click if the element is a