Bind tool-like objects to this chat model. Assumes model is compatible with OpenAI tool-calling API. Parameters tools (Sequence[Union[Dict[str, Any], Type, Callable, BaseTool]])– A list of tool definitions to bind to this chat model. Supports any tool definition handled by langchain_cor...
system_prompt:str):# Each worker node will be given a name and some tools.prompt=ChatPromptTemplate.from_messages( [ ("system",system_prompt, ),MessagesPlaceholder(variable_name="messages"),MessagesPlaceholder(variable_name="agent_scratchpad"), ] )agent=create_openai_tools_agent(llm,tools,...
Bind runtime args：bind传参 用model的bind函数传递参数 # 示例一 # 加入停用词，选择SOLUTION对应的...
raise NotImplementedError("tool does not support async") def create_tool(name, description, call_handler: Callable[[dict, dict], str]=None, **data: any): tool = KnowledgeProviderTool(name=name, description=description, **data) if call_handler: tool.metadata = {} tool.metadat...
( model="gpt-3.5-turbo-16k", temperature=0, ) tools = [ DuckDuckGoSearchResults( name="duck_duck_go" ), # General internet search using DuckDuckGo ] llm_with_tools = llm.bind_tools(tools) runnable_agent = ( { "input": lambda x: x["input"], "agent_scratchpad": lambda x: format...
def bind_tools( self, tools: Sequence[Union[Dict[str, Any], Type[BaseModel], Callable, BaseTool]], *, tool_choice: Optional[Union[dict, str, Literal["auto", "none"], bool]] = None, **kwargs: Any, ) -> Runnable[LanguageModelInput, BaseMessage]: raise NotImplementedError( "Not ...