SYMBOL INDEX (187 symbols across 29 files)

FILE: demo/composite_demo/browser/src/browser.ts
  type Quote (line 9) | interface Quote {
  type ActionResult (line 14) | interface ActionResult {
  type Metadata (line 23) | interface Metadata {
  type TetherQuoteExtra (line 30) | interface TetherQuoteExtra {
  type TetherQuoteMetadata (line 35) | interface TetherQuoteMetadata {
  type Citation (line 44) | interface Citation {
  type PageState (line 52) | interface PageState {
  type BrowserState (line 66) | interface BrowserState {
  function removeDenseLinks (line 72) | function removeDenseLinks(document: Document, ratioThreshold: number = 0...
  method transform (line 116) | private transform(dom: JSDOM): string {
  method formatPage (line 125) | private formatPage(state: PageState): string {
  method newPageState (line 133) | private newPageState(): PageState {
  method pushPageState (line 149) | private pushPageState(): PageState {
  method lastPageState (line 155) | private lastPageState(): PageState {
  method formatErrorUrl (line 162) | private formatErrorUrl(url: string): string {
  method constructor (line 477) | constructor() {
  method action (line 574) | async action(content: string): Promise<ToolObservation[]> {
  method postProcess (line 616) | postProcess(message: Message, metadata: any) {
  method getState (line 676) | getState() {
  class SimpleBrowser (line 681) | class SimpleBrowser extends BaseBrowser {
    method constructor (line 684) | constructor() {
    method actionLine (line 688) | async actionLine(content: string): Promise<ActionResult | ActionResult...

FILE: demo/composite_demo/browser/src/types.ts
  type File (line 1) | interface File {
  type Metadata (line 7) | interface Metadata {
  type Message (line 12) | interface Message {
  type ToolObservation (line 19) | interface ToolObservation {

FILE: demo/composite_demo/browser/src/utils.ts
  class TimeoutError (line 5) | class TimeoutError extends Error {}

FILE: demo/composite_demo/src/client.py
  class ClientType (line 20) | class ClientType(Enum):
  class Client (line 26) | class Client(Protocol):
    method __init__ (line 27) | def __init__(self, model_path: str): ...
    method generate_stream (line 29) | def generate_stream(
  function process_input (line 37) | def process_input(history: list[dict], tools: list[dict], role_name_repl...
  function process_response (line 60) | def process_response(output, history):
  function get_client (line 84) | def get_client(model_path, typ: ClientType) -> Client:

FILE: demo/composite_demo/src/clients/hf.py
  class HFClient (line 14) | class HFClient(Client):
    method __init__ (line 15) | def __init__(self, model_path: str):
    method generate_stream (line 26) | def generate_stream(

FILE: demo/composite_demo/src/clients/openai.py
  function format_openai_tool (line 12) | def format_openai_tool(origin_tools):
  class APIClient (line 37) | class APIClient(Client):
    method __init__ (line 38) | def __init__(self, model_path: str):
    method generate_stream (line 44) | def generate_stream(

FILE: demo/composite_demo/src/clients/vllm.py
  class VLLMClient (line 17) | class VLLMClient(Client):
    method __init__ (line 18) | def __init__(self, model_path: str):
    method generate_stream (line 30) | def generate_stream(

FILE: demo/composite_demo/src/conversation.py
  function build_system_prompt (line 26) | def build_system_prompt(
  function response_to_str (line 45) | def response_to_str(response: str | dict[str, str]) -> str:
  class Role (line 54) | class Role(Enum):
    method __str__ (line 61) | def __str__(self):
    method get_message (line 73) | def get_message(self):
  class Conversation (line 93) | class Conversation:
    method __str__ (line 101) | def __str__(self) -> str:
    method get_text (line 106) | def get_text(self) -> str:
    method show (line 116) | def show(self, placeholder: DeltaGenerator | None = None) -> str:
  function postprocess_text (line 145) | def postprocess_text(text: str, replace_quote: bool) -> str:

FILE: demo/composite_demo/src/main.py
  class Mode (line 36) | class Mode(str, Enum):
  function append_conversation (line 42) | def append_conversation(
  function build_client (line 101) | def build_client(mode: Mode) -> Client:
  function page_changed (line 119) | def page_changed() -> None:
  function main (line 221) | def main(prompt_text: str):

FILE: demo/composite_demo/src/tools/browser.py
  class Quote (line 24) | class Quote:
  function map_response (line 36) | def map_response(response: dict) -> ToolObservation:
  function tool_call (line 59) | def tool_call(code: str, session_id: str) -> list[ToolObservation]:

FILE: demo/composite_demo/src/tools/cogview.py
  function get_zhipu_client (line 10) | def get_zhipu_client():
  function map_response (line 14) | def map_response(img: GeneratedImage):
  function tool_call (line 23) | def tool_call(prompt: str, session_id: str) -> list[ToolObservation]:

FILE: demo/composite_demo/src/tools/interface.py
  class ToolObservation (line 6) | class ToolObservation:

FILE: demo/composite_demo/src/tools/python.py
  class CodeKernel (line 18) | class CodeKernel:
    method __init__ (line 19) | def __init__(
    method execute (line 63) | def execute(self, code):
    method execute_interactive (line 83) | def execute_interactive(self, code, verbose=False):
    method inspect (line 92) | def inspect(self, code, verbose=False):
    method get_error_msg (line 102) | def get_error_msg(self, msg, verbose=False) -> str | None:
    method check_msg (line 116) | def check_msg(self, msg, verbose=False):
    method shutdown (line 126) | def shutdown(self):
    method restart (line 134) | def restart(self):
    method interrupt (line 139) | def interrupt(self):
    method is_alive (line 144) | def is_alive(self):
  function clean_ansi_codes (line 148) | def clean_ansi_codes(input_string):
  function extract_code (line 152) | def extract_code(text: str) -> str:
  function execute (line 157) | def execute(code: str, kernel: CodeKernel) -> tuple[Literal["text", "ima...
  function get_kernel (line 189) | def get_kernel() -> CodeKernel:
  function tool_call (line 193) | def tool_call(code: str, session_id: str) -> list[ToolObservation]:

FILE: demo/composite_demo/src/tools/tool_registry.py
  function register_tool (line 32) | def register_tool(func: Callable):
  function dispatch_tool (line 71) | def dispatch_tool(tool_name: str, code: str, session_id: str) -> list[To...
  function get_tools (line 98) | def get_tools() -> list[dict]:
  function random_number_generator (line 106) | def random_number_generator(
  function get_weather (line 126) | def get_weather(
  function get_shell (line 161) | def get_shell(

FILE: demo/composite_demo/src/utils.py
  function extract_text (line 6) | def extract_text(path):
  function extract_pdf (line 10) | def extract_pdf(path):
  function extract_docx (line 18) | def extract_docx(path):
  function extract_pptx (line 27) | def extract_pptx(path):

FILE: demo/intel_device_demo/itrex/itrex_cli_demo.py
  class StopOnTokens (line 17) | class StopOnTokens(StoppingCriteria):
    method __call__ (line 18) | def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTen...
  function initialize_model_and_tokenizer (line 26) | def initialize_model_and_tokenizer():
  function get_user_input (line 37) | def get_user_input():
  function main (line 41) | def main():

FILE: demo/intel_device_demo/openvino/openvino_cli_demo.py
  class StopOnTokens (line 10) | class StopOnTokens(StoppingCriteria):
    method __init__ (line 11) | def __init__(self, token_ids):
    method __call__ (line 14) | def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTen...
  function convert_history_to_token (line 50) | def convert_history_to_token(history: List[Tuple[str, str]]):

FILE: finetune/finetune.py
  class DataCollatorForSeq2Seq (line 38) | class DataCollatorForSeq2Seq(_DataCollatorForSeq2Seq):
    method __call__ (line 39) | def __call__(self, features, return_tensors=None):
  class Seq2SeqTrainer (line 58) | class Seq2SeqTrainer(_Seq2SeqTrainer):
    method prediction_step (line 59) | def prediction_step(
  class DataConfig (line 87) | class DataConfig(object):
    method data_format (line 94) | def data_format(self) -> str:
    method data_files (line 98) | def data_files(self) -> dict[NamedSplit, str]:
  class FinetuningConfig (line 110) | class FinetuningConfig(object):
    method __post_init__ (line 124) | def __post_init__(self):
    method from_dict (line 139) | def from_dict(cls, **kwargs) -> "FinetuningConfig":
    method from_file (line 157) | def from_file(cls, path: Union[str, Path]) -> "FinetuningConfig":
  function _load_datasets (line 166) | def _load_datasets(
  class DataManager (line 184) | class DataManager(object):
    method __init__ (line 185) | def __init__(self, data_dir: str, data_config: DataConfig):
    method _get_dataset (line 195) | def _get_dataset(self, split: NamedSplit) -> Optional[Dataset]:
    method get_dataset (line 198) | def get_dataset(
  function process_message (line 221) | def process_message(message):
  function process_batch (line 231) | def process_batch(
  function process_batch_eval (line 277) | def process_batch_eval(
  function load_tokenizer_and_model (line 324) | def load_tokenizer_and_model(
  function compute_metrics (line 346) | def compute_metrics(eval_preds: EvalPrediction, tokenizer):
  function main (line 371) | def main(

FILE: finetune/finetune_vision.py
  class DataCollatorForSeq2Seq (line 40) | class DataCollatorForSeq2Seq(_DataCollatorForSeq2Seq):
    method __call__ (line 41) | def __call__(self, features, return_tensors=None):
  class Seq2SeqTrainer (line 60) | class Seq2SeqTrainer(_Seq2SeqTrainer):
    method prediction_step (line 61) | def prediction_step(
  class DataConfig (line 94) | class DataConfig(object):
    method data_format (line 101) | def data_format(self) -> str:
    method data_files (line 105) | def data_files(self) -> dict[NamedSplit, str]:
  class FinetuningConfig (line 117) | class FinetuningConfig(object):
    method __post_init__ (line 131) | def __post_init__(self):
    method from_dict (line 146) | def from_dict(cls, **kwargs) -> "FinetuningConfig":
    method from_file (line 164) | def from_file(cls, path: Union[str, Path]) -> "FinetuningConfig":
  function _load_datasets (line 173) | def _load_datasets(
  class DataManager (line 191) | class DataManager(object):
    method __init__ (line 192) | def __init__(self, data_dir: str, data_config: DataConfig):
    method _get_dataset (line 202) | def _get_dataset(self, split: NamedSplit) -> Optional[Dataset]:
    method get_dataset (line 205) | def get_dataset(
  function process_batch (line 231) | def process_batch(
  function process_batch_eval (line 317) | def process_batch_eval(
  function load_tokenizer_and_model (line 388) | def load_tokenizer_and_model(
  function compute_metrics (line 412) | def compute_metrics(eval_preds: EvalPrediction, tokenizer):
  function main (line 437) | def main(

FILE: inference/glm4v_api_request.py
  function create_chat_completion (line 18) | def create_chat_completion(messages, use_stream=False):
  function encode_image (line 38) | def encode_image(image_path):
  function glm4v_simple_image_chat (line 52) | def glm4v_simple_image_chat(use_stream=False, img_path=None):

FILE: inference/glm4v_server.py
  function lifespan (line 29) | async def lifespan(app: FastAPI):
  class ModelCard (line 51) | class ModelCard(BaseModel):
  class ModelList (line 66) | class ModelList(BaseModel):
  class ImageUrl (line 71) | class ImageUrl(BaseModel):
  class TextContent (line 75) | class TextContent(BaseModel):
  class ImageUrlContent (line 80) | class ImageUrlContent(BaseModel):
  class ChatMessageInput (line 88) | class ChatMessageInput(BaseModel):
  class ChatMessageResponse (line 94) | class ChatMessageResponse(BaseModel):
  class DeltaMessage (line 100) | class DeltaMessage(BaseModel):
  class ChatCompletionRequest (line 105) | class ChatCompletionRequest(BaseModel):
  class ChatCompletionResponseChoice (line 116) | class ChatCompletionResponseChoice(BaseModel):
  class ChatCompletionResponseStreamChoice (line 121) | class ChatCompletionResponseStreamChoice(BaseModel):
  class UsageInfo (line 126) | class UsageInfo(BaseModel):
  class ChatCompletionResponse (line 132) | class ChatCompletionResponse(BaseModel):
  function list_models (line 141) | async def list_models():
  function create_chat_completion (line 151) | async def create_chat_completion(request: ChatCompletionRequest):
  function predict (line 188) | def predict(model_id: str, params: dict):
  function generate_glm4v (line 210) | def generate_glm4v(model: AutoModel, tokenizer: AutoTokenizer, params: d...
  function process_history_and_images (line 223) | def process_history_and_images(
  function generate_stream_glm4v (line 283) | def generate_stream_glm4v(model: AutoModel, tokenizer: AutoTokenizer, pa...

FILE: inference/trans_batch_demo.py
  function process_model_outputs (line 20) | def process_model_outputs(inputs, outputs, tokenizer):
  function batch (line 28) | def batch(

FILE: inference/trans_cli_demo.py
  class StopOnTokens (line 39) | class StopOnTokens(StoppingCriteria):
    method __call__ (line 40) | def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTen...

FILE: inference/trans_cli_vision_demo.py
  class StopOnTokens (line 48) | class StopOnTokens(StoppingCriteria):
    method __call__ (line 49) | def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTen...

FILE: inference/trans_stress_test.py
  function stress_test (line 13) | def stress_test(run_name, input_token_len, n, output_token_len, swanlab_...

FILE: inference/trans_web_demo.py
  function preprocess_messages (line 12) | def preprocess_messages(history, system_prompt):
  function predict (line 30) | def predict(history, system_prompt, max_length, top_p, top_k, temperature):
  function main (line 58) | def main():

FILE: inference/trans_web_vision_demo.py
  class StopOnTokens (line 32) | class StopOnTokens(StoppingCriteria):
    method __call__ (line 33) | def __call__(self, input_ids: torch.LongTensor, scores: torch.FloatTen...
  function get_image (line 41) | def get_image(image_path=None, image_url=None):
  function chatbot (line 50) | def chatbot(image_path=None, image_url=None, assistant_prompt=""):

FILE: inference/vllm_cli_demo.py
  function load_model_and_tokenizer (line 26) | def load_model_and_tokenizer(model_dir: str, enable_lora: bool):
  function vllm_gen (line 50) | async def vllm_gen(
  function chat (line 85) | async def chat():

FILE: inference/vllm_cli_vision_demo.py
  function load_model_and_tokenizer (line 24) | def load_model_and_tokenizer(model_dir: str):
  function vllm_gen (line 41) | async def vllm_gen(messages: List[Dict[str, str]], top_p: float, tempera...
  function chat (line 59) | async def chat():