![\"OpenUI\"](\"./assets/openui.png\")
\n\n \n
![\"New](\"./assets/codespace.png\")
\n\nChoose more options when creating a Codespace, then select **New with options...**. Select the US West region if you want a really fast boot time. You'll also want to configure your OPENAI_API_KEY secret or just set it to `xxx` if you want to try Ollama *(you'll want at least 16GB of Ram)*.\n\nOnce inside the code space you can run the server in one terminal: `python -m openui --dev`. Then in a new terminal:\n\n```bash\ncd /workspaces/openui/frontend\nnpm run dev\n```\n\nThis should open another service on port 5173, that's the service you'll want to visit. All changes to both the frontend and backend will automatically be reloaded and reflected in your browser.\n\n### Ollama\n\nThe codespace installs ollama automaticaly and downloads the `llava` model. You can verify Ollama is running with `ollama list` if that fails, open a new terminal and run `ollama serve`. In Codespaces we pull llava on boot so you should see it in the list. You can select Ollama models from the settings gear icon in the upper left corner of the application. Any models you pull i.e. `ollama pull llama` will show up in the settings modal.\n\n![\"Select](\"./assets/ollama.png\")
\n\n### Gitpod\n\nYou can easily use Open UI via Gitpod, preconfigured with Open AI.\n\n[](https://gitpod.io/#https://github.com/wandb/openui)\n\nOn launch Open UI is automatically installed and launched.\n\nBefore you can use Gitpod:\n\n* Make sure you have a Gitpod account.\n* To use Open AI models set up the `OPENAI_API_KEY` environment variable in your Gitpod [User Account](https://gitpod.io/user/variables). Set the scope to `wandb/openui` (or your repo if you forked it).\n\n> NOTE: Other (local) models might also be used with a bigger Gitpod instance type. Required models are not preconfigured in Gitpod but can easily be added as documented above.\n\n### Resources\n\nSee the readmes in the [frontend](./frontend/README.md) and [backend](./backend/README.md) directories.\n"
},
{
"path": "backend/.dockerignore",
"content": "# flyctl launch added from .gitignore\n**/.venv\n**/__pycache__\n**/wandb\n**/*.py[cod]\n**/*$py.class\n**/venv\n**/.eggs\n**/.pytest_cache\n**/*.egg-info\n**/.DS_Store\n**/build\n**/wandb\n**/*.db\n\n# flyctl launch added from openui/eval/.gitignore\nopenui/eval/**/datasets\nopenui/eval/**/components\nfly.toml\n"
},
{
"path": "backend/.github/workflows/publish.yml",
"content": "name: Publish Python Package\n\non:\n release:\n types: [created]\n\npermissions:\n contents: read\n\njobs:\n test:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v5\n with:\n python-version: ${{ matrix.python-version }}\n cache: pip\n cache-dependency-path: pyproject.toml\n - name: Install dependencies\n run: |\n pip install '.[test]'\n - name: Run tests\n run: |\n pytest\n deploy:\n runs-on: ubuntu-latest\n needs: [test]\n environment: release\n permissions:\n id-token: write\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python\n uses: actions/setup-python@v5\n with:\n python-version: \"3.12\"\n cache: pip\n cache-dependency-path: pyproject.toml\n - name: Install dependencies\n run: |\n pip install setuptools wheel build\n - name: Build\n run: |\n python -m build\n - name: Publish\n uses: pypa/gh-action-pypi-publish@release/v1\n\n"
},
{
"path": "backend/.github/workflows/test.yml",
"content": "name: Test\n\non: [push, pull_request]\n\npermissions:\n contents: read\n\njobs:\n test:\n runs-on: ubuntu-latest\n strategy:\n matrix:\n python-version: [\"3.8\", \"3.9\", \"3.10\", \"3.11\", \"3.12\"]\n steps:\n - uses: actions/checkout@v4\n - name: Set up Python ${{ matrix.python-version }}\n uses: actions/setup-python@v5\n with:\n python-version: ${{ matrix.python-version }}\n cache: pip\n cache-dependency-path: pyproject.toml\n - name: Install dependencies\n run: |\n pip install '.[test]'\n - name: Run tests\n run: |\n pytest\n\n"
},
{
"path": "backend/.gitignore",
"content": ".venv\n__pycache__/\nwandb/\n*.py[cod]\n*$py.class\nvenv\n.eggs\n.pytest_cache\n*.egg-info\n.DS_Store\nbuild\neval/components\neval/datasets\n!eval/datasets/eval.csv\n"
},
{
"path": "backend/.python-version",
"content": "3.12\n"
},
{
"path": "backend/.vscode/extensions.json",
"content": "{\n \"recommendations\": [\"charliermarsh.ruff\"]\n}\n"
},
{
"path": "backend/.vscode/settings.json",
"content": "{\n \"[python]\": {\n \"editor.formatOnSave\": true,\n \"editor.defaultFormatter\": \"charliermarsh.ruff\"\n }\n}\n"
},
{
"path": "backend/Dockerfile",
"content": "# Build the virtualenv as a separate step: Only re-execute this step when pyproject.toml changes\nFROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim AS builder\n\nWORKDIR /app\n\nENV UV_LINK_MODE=copy UV_COMPILE_BYTECODE=1\n\nRUN --mount=type=cache,target=/root/.cache/uv \\\n --mount=type=bind,source=uv.lock,target=uv.lock \\\n --mount=type=bind,source=pyproject.toml,target=pyproject.toml \\\n uv sync --frozen --extra litellm --no-install-project --no-dev\n\nCOPY . /app\n\nRUN --mount=type=cache,target=/root/.cache/uv \\\n uv sync --frozen --extra litellm --no-dev\n\n# Copy the virtualenv into a distroless image\nFROM ghcr.io/astral-sh/uv:python3.12-bookworm-slim\n\nWORKDIR /app\n\nCOPY --from=builder --chown=app:app /app /app\n\nENV PATH=\"/app/.venv/bin:$PATH\"\n\nENTRYPOINT [\"python\", \"-m\", \"openui\", \"--litellm\"]\n"
},
{
"path": "backend/LICENSE",
"content": " Apache License\n Version 2.0, January 2004\n http://www.apache.org/licenses/\n\n TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION\n\n 1. Definitions.\n\n \"License\" shall mean the terms and conditions for use, reproduction,\n and distribution as defined by Sections 1 through 9 of this document.\n\n \"Licensor\" shall mean the copyright owner or entity authorized by\n the copyright owner that is granting the License.\n\n \"Legal Entity\" shall mean the union of the acting entity and all\n other entities that control, are controlled by, or are under common\n control with that entity. For the purposes of this definition,\n \"control\" means (i) the power, direct or indirect, to cause the\n direction or management of such entity, whether by contract or\n otherwise, or (ii) ownership of fifty percent (50%) or more of the\n outstanding shares, or (iii) beneficial ownership of such entity.\n\n \"You\" (or \"Your\") shall mean an individual or Legal Entity\n exercising permissions granted by this License.\n\n \"Source\" form shall mean the preferred form for making modifications,\n including but not limited to software source code, documentation\n source, and configuration files.\n\n \"Object\" form shall mean any form resulting from mechanical\n transformation or translation of a Source form, including but\n not limited to compiled object code, generated documentation,\n and conversions to other media types.\n\n \"Work\" shall mean the work of authorship, whether in Source or\n Object form, made available under the License, as indicated by a\n copyright notice that is included in or attached to the work\n (an example is provided in the Appendix below).\n\n \"Derivative Works\" shall mean any work, whether in Source or Object\n form, that is based on (or derived from) the Work and for which the\n editorial revisions, annotations, elaborations, or other modifications\n represent, as a whole, an original work of authorship. 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We also recommend that a\n file or class name and description of purpose be included on the\n same \"printed page\" as the copyright notice for easier\n identification within third-party archives.\n\n Copyright [2024] [Weights and Biases, Inc.]\n\n Licensed under the Apache License, Version 2.0 (the \"License\");\n you may not use this file except in compliance with the License.\n You may obtain a copy of the License at\n\n http://www.apache.org/licenses/LICENSE-2.0\n\n Unless required by applicable law or agreed to in writing, software\n distributed under the License is distributed on an \"AS IS\" BASIS,\n WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n See the License for the specific language governing permissions and\n limitations under the License.\n"
},
{
"path": "backend/README.md",
"content": "# OpenUI\n\n[](https://pypi.org/project/wandb-openui/)\n[](https://github.com/wandb/openui/releases)\n[](https://github.com/wandb/openui/blob/main/LICENSE)\n\nA backend service for generating HTML components with AI\n\n## Installation\n\nClone this repo, then install using `pip`. You'll probably want to create a virtual env.\n\n```bash\ngit clone https://github.com/wandb/openui\ncd openui/backend\npip install .\n```\n\n## Usage\n\nYou must set the `OPENAI_API_KEY` even if you just want to try Ollama models. Just set it to `xxx` in that case like below.\n\n```bash\nOPENAI_API_KEY=xxx python -m openui\n```\n\n### Docker\n\nYou can build and run the docker file from the `/backend` directory:\n\n```bash\ndocker build . -t wandb/openui --load\ndocker run -p 7878:7878 -e OPENAI_API_KEY wandb/openui\n```\n\n## Development\n\nFirst be sure to install the package as editable, then passing `--dev` as an argument will live reload any local changes.\n\n```bash\npip install -e .\npython -m openui --dev\n```\n\nNow install the dependencies and test dependencies:\n\n```bash\npip install -e '.[test]'\n```\n\nTo run the tests:\n\n```bash\npytest\n```\n\n## Evaluation\n\nThe [eval](./openui/eval) folder contains scripts for evaluating the performance of a model. It automates generating UI, taking screenshots of the UI, then asking `gpt-4-vision-preview` to rate the elements. More details about the eval pipeline coming soon...\n\n\n## Google Vertex AI\n\nCreate a service account with the appropriate permissions and authenticate with:\n\n```\ngcloud auth application-default login --impersonate-service-account ${GCLOUD_SERVICE_ACCOUNT}@${GCLOUD_PROJECT}.iam.gserviceaccount.com\n```"
},
{
"path": "backend/fly.toml",
"content": "# fly.toml app configuration file generated for openui on 2024-03-15T15:53:15-07:00\n#\n# See https://fly.io/docs/reference/configuration/ for information about how to use this file.\n#\n\napp = 'openui'\nprimary_region = 'sjc'\n\n[http_service]\ninternal_port = 7878\nforce_https = true\nauto_stop_machines = true\nauto_start_machines = true\nmin_machines_running = 0\nprocesses = ['app']\n\n[mounts]\nsource = \"openui_data\"\ndestination = \"/root/.openui\"\n\n[env]\nOPENUI_ENVIRONMENT = \"production\"\nOPENUI_HOST = \"https://openui.fly.dev\"\nGITHUB_CLIENT_ID = \"3af8fbeb90d06484dff0\"\nWANDB_ENTITY = \"wandb\"\nWANDB_PROJECT = \"openui-hosted\"\n\n[[vm]]\nmemory = '1gb'\ncpu_kind = 'shared'\ncpus = 1\n"
},
{
"path": "backend/openui/__init__.py",
"content": ""
},
{
"path": "backend/openui/__main__.py",
"content": "from pathlib import Path\nfrom .logs import setup_logger\nfrom . import server\nfrom . import config\nfrom .litellm import generate_config\nimport os\nimport uvicorn\nfrom uvicorn import Config\nimport sys\nimport subprocess\nimport time\n\n\ndef is_running_in_docker():\n # Check for the .dockerenv file\n if os.path.exists(\"/.dockerenv\"):\n return True\n\n # Check for Docker-related entries in /proc/self/cgroup\n try:\n with open(\"/proc/self/cgroup\", \"r\") as file:\n for line in file:\n if \"docker\" in line:\n return True\n except Exception as e:\n pass\n\n if config.ENV == config.Env.PROD:\n return True\n\n return False\n\n\nif __name__ == \"__main__\":\n ui = any([arg == \"-i\" for arg in sys.argv])\n litellm = (\n any([arg == \"--litellm\" for arg in sys.argv])\n or \"OPENUI_LITELLM_CONFIG\" in os.environ\n or os.path.exists(\"litellm-config.yaml\")\n )\n # TODO: only render in interactive mode?\n print(\n (Path(__file__).parent / \"logo.ascii\").read_text(), file=sys.stderr, flush=True\n )\n logger = setup_logger(\"/tmp/openui.log\" if ui else None)\n logger.info(\"Starting OpenUI AI Server created by W&B...\")\n\n reload = any([arg == \"--dev\" for arg in sys.argv])\n if reload:\n config.ENV = config.Env.DEV\n logger.info(\"Running in dev mode\")\n\n try:\n from .tui.app import OpenUIApp\n\n app = OpenUIApp()\n server.queue = app.queue\n except ImportError:\n if ui:\n logger.warning(\n \"Install OpenUI with pip install .[tui] to use the terminal UI\"\n )\n ui = False\n\n config_file = Path(__file__).parent / \"log_config.yaml\"\n api_server = server.Server(\n Config(\n \"openui.server:app\",\n host=\"0.0.0.0\" if is_running_in_docker() else \"127.0.0.1\",\n log_config=str(config_file) if ui else None,\n port=config.PORT,\n reload=reload,\n )\n )\n if ui:\n with api_server.run_in_thread():\n logger.info(\"Running Terminal UI App\")\n app.run()\n else:\n if litellm:\n config_path = \"litellm-config.yaml\"\n if \"OPENUI_LITELLM_CONFIG\" in os.environ:\n config_path = os.environ[\"OPENUI_LITELLM_CONFIG\"]\n elif os.path.exists(\"/app/litellm-config.yaml\"):\n config_path = \"/app/litellm-config.yaml\"\n else:\n config_path = generate_config()\n\n logger.info(\n f\"Starting LiteLLM in the background with config: {config_path}\"\n )\n litellm_process = subprocess.Popen(\n [\"litellm\", \"--config\", config_path, \"--port\", \"4000\"],\n stdout=subprocess.PIPE,\n stderr=subprocess.PIPE,\n text=True,\n )\n # Ensure litellm stays up for 5 seconds\n for i in range(5):\n if litellm_process.poll() is not None:\n stdout, stderr = litellm_process.communicate()\n logger.error(f\"LiteLLM failed to start:\\n{stderr}\")\n break\n time.sleep(1)\n logger.info(\"Running API Server\")\n mkcert_dir = Path.home() / \".vite-plugin-mkcert\"\n\n if reload:\n # TODO: hot reload wasn't working with the server approach, and ctrl-C doesn't\n # work with the uvicorn.run approach, so here we are\n uvicorn.run(\n \"openui.server:app\",\n host=\"0.0.0.0\" if is_running_in_docker() else \"127.0.0.1\",\n port=config.PORT,\n reload=reload,\n )\n else:\n api_server.run_with_wandb()\n"
},
{
"path": "backend/openui/config.py",
"content": "import os\nfrom pathlib import Path\nimport secrets\nfrom urllib.parse import urlparse\nfrom enum import Enum\n\n\nclass Env(Enum):\n LOCAL = 1\n PROD = 2\n DEV = 3\n\n\ntry:\n env = os.getenv(\"OPENUI_ENVIRONMENT\", \"local\")\n if env == \"production\":\n env = \"prod\"\n elif env == \"development\":\n env = \"dev\"\n ENV = Env[env.upper()]\nexcept KeyError:\n print(\"Invalid environment, defaulting to running locally\")\n ENV = Env.LOCAL\n\ndefault_db = Path.home() / \".openui\" / \"db.sqlite\"\ndefault_db.parent.mkdir(exist_ok=True)\nDB = os.getenv(\"DATABASE\", default_db)\nHOST = os.getenv(\n \"OPENUI_HOST\",\n \"https://localhost:5173\" if ENV == Env.DEV else \"http://localhost:7878\",\n)\nRP_ID = urlparse(HOST).hostname\nSESSION_KEY = os.getenv(\"OPENUI_SESSION_KEY\")\nif SESSION_KEY is None:\n env_path = Path.home() / \".openui\" / \".env\"\n if env_path.exists():\n SESSION_KEY = env_path.read_text().splitlines()[0].split(\"=\")[1]\n else:\n SESSION_KEY = secrets.token_hex(32)\n with env_path.open(\"w\") as f:\n f.write(f\"OPENUI_SESSION_KEY={SESSION_KEY}\")\n# Set the LITELLM_MASTER_KEY to a random value if it's not already set\nif os.getenv(\"LITELLM_MASTER_KEY\") is None:\n os.environ[\"LITELLM_MASTER_KEY\"] = \"sk-{SESSION_KEY}\"\n# GPT 3.5 is 0.0005 per 1k tokens input and 0.0015 output\n# 700k puts us at a max of $1.00 spent per user over a 48 hour period\nMAX_TOKENS = int(os.getenv(\"OPENUI_MAX_TOKENS\", \"700000\"))\nGITHUB_CLIENT_ID = os.getenv(\"GITHUB_CLIENT_ID\")\nGITHUB_CLIENT_SECRET = os.getenv(\"GITHUB_CLIENT_SECRET\")\n\nAWS_ENDPOINT_URL_S3 = os.getenv(\"AWS_ENDPOINT_URL_S3\")\nAWS_ACCESS_KEY_ID = os.getenv(\"AWS_ACCESS_KEY_ID\")\nAWS_SECRET_ACCESS_KEY = os.getenv(\"AWS_SECRET_ACCESS_KEY\")\nBUCKET_NAME = os.getenv(\"BUCKET_NAME\", \"openui\")\n\n# Cors, if you're hosting the annotator iframe elsewhere, add it here\nCORS_ORIGINS = os.getenv(\n \"OPENUI_CORS_ORIGINS\", \"https://wandb.github.io,https://localhost:5173\"\n).split(\",\")\n\n# Model providers\nOLLAMA_HOST = os.getenv(\"OLLAMA_HOST\", \"http://127.0.0.1:11434\")\nOPENAI_BASE_URL = os.getenv(\"OPENAI_BASE_URL\", \"https://api.openai.com/v1\")\nOPENAI_API_KEY = os.getenv(\"OPENAI_API_KEY\", \"xxx\")\nGROQ_BASE_URL = os.getenv(\"GROQ_BASE_URL\", \"https://api.groq.com/openai/v1\")\nGROQ_API_KEY = os.getenv(\"GROQ_API_KEY\")\nLITELLM_API_KEY = os.getenv(\"LITELLM_API_KEY\", os.getenv(\"LITELLM_MASTER_KEY\"))\nLITELLM_BASE_URL = os.getenv(\"LITELLM_BASE_URL\", \"http://0.0.0.0:4000\")\nPORT = int(os.getenv(\"PORT\", 7878))\n"
},
{
"path": "backend/openui/config.yaml",
"content": "litellm_settings:\n# callbacks: callbacks.weave_handler\n"
},
{
"path": "backend/openui/db/models.py",
"content": "from peewee import (\n Model,\n BinaryUUIDField,\n BooleanField,\n CharField,\n IntegerField,\n DateField,\n CompositeKey,\n DateTimeField,\n ForeignKeyField,\n OperationalError,\n fn,\n)\nimport uuid\nimport datetime\nfrom playhouse.sqlite_ext import SqliteExtDatabase, JSONField\nfrom playhouse.migrate import SqliteMigrator, migrate\nfrom openui import config\n\ndatabase = SqliteExtDatabase(\n config.DB,\n pragmas=(\n (\"cache_size\", -1024 * 64), # 64MB page-cache.\n (\"journal_mode\", \"wal\"), # Use WAL-mode\n (\"foreign_keys\", 1),\n ),\n)\nmigrator = SqliteMigrator(database)\n\n\nclass BaseModel(Model):\n class Meta:\n database = database\n\n\nclass SchemaMigration(BaseModel):\n version = CharField()\n\n\nclass User(BaseModel):\n id = BinaryUUIDField(primary_key=True)\n username = CharField(unique=True)\n email = CharField(null=True)\n created_at = DateTimeField()\n\n\nclass Credential(BaseModel):\n credential_id = CharField(primary_key=True)\n public_key = CharField()\n sign_count = IntegerField()\n aaguid = CharField(null=True)\n user_verified = BooleanField(default=False)\n user = ForeignKeyField(User, backref=\"credentials\")\n\n\nclass Session(BaseModel):\n id = BinaryUUIDField(primary_key=True)\n user = ForeignKeyField(User, backref=\"sessions\")\n data = JSONField()\n created_at = DateTimeField()\n updated_at = DateTimeField()\n\n\nclass Component(BaseModel):\n id = BinaryUUIDField(primary_key=True)\n name = CharField()\n user = ForeignKeyField(User, backref=\"components\")\n data = JSONField()\n\n\nclass Vote(BaseModel):\n id = BinaryUUIDField(primary_key=True)\n user = ForeignKeyField(User, backref=\"votes\")\n component = ForeignKeyField(Component, backref=\"votes\")\n vote = BooleanField()\n created_at = DateTimeField()\n\n\nclass Usage(BaseModel):\n input_tokens = IntegerField()\n output_tokens = IntegerField()\n day = DateField()\n user = ForeignKeyField(User, backref=\"usage\")\n\n class Meta:\n primary_key = CompositeKey(\"user\", \"day\")\n\n @classmethod\n def update_tokens(cls, user_id: str, input_tokens: int, output_tokens: int):\n Usage.insert(\n user_id=uuid.UUID(user_id).bytes,\n day=datetime.datetime.now().date(),\n input_tokens=input_tokens,\n output_tokens=output_tokens,\n ).on_conflict(\n conflict_target=[Usage.user_id, Usage.day],\n update={\n Usage.input_tokens: Usage.input_tokens + input_tokens,\n Usage.output_tokens: Usage.output_tokens + output_tokens,\n },\n ).execute()\n\n @classmethod\n def tokens_since(cls, user_id: str, day: datetime.date) -> int:\n return (\n Usage.select(\n fn.SUM(Usage.input_tokens + Usage.output_tokens).alias(\"tokens\")\n )\n .where(Usage.user_id == uuid.UUID(user_id).bytes, Usage.day >= day)\n .get()\n .tokens\n or 0\n )\n\n\nCURRENT_VERSION = \"2024-05-14\"\n\n\ndef alter(schema: SchemaMigration, ops: list[list], version: str) -> bool:\n try:\n migrate(*ops)\n except OperationalError as e:\n print(\"Migration failed\", e)\n return False\n schema.version = version\n schema.save()\n print(f\"Migrated {version}\")\n return version != CURRENT_VERSION\n\n\ndef perform_migration(schema: SchemaMigration) -> bool:\n if schema.version == \"2024-03-08\":\n version = \"2024-03-12\"\n aaguid = CharField(null=True)\n user_verified = BooleanField(default=False)\n altered = alter(\n schema,\n [\n migrator.add_column(\"credential\", \"aaguid\", aaguid),\n migrator.add_column(\"credential\", \"user_verified\", user_verified),\n ],\n version,\n )\n if altered:\n perform_migration(schema)\n if schema.version == \"2024-03-12\":\n version = \"2024-05-14\"\n database.create_tables([Vote])\n schema.version = version\n schema.save()\n if version != CURRENT_VERSION:\n perform_migration(schema)\n\n\ndef ensure_migrated():\n if not config.DB.exists():\n database.create_tables(\n [User, Credential, Session, Component, SchemaMigration, Usage, Vote]\n )\n SchemaMigration.create(version=CURRENT_VERSION)\n else:\n schema = SchemaMigration.select().first()\n if schema.version != CURRENT_VERSION:\n perform_migration(schema)\n"
},
{
"path": "backend/openui/dist/annotator/index.html",
"content": "\n\t\n\t\t\n\t\t\n\t\t