langchain.agents.initialize.initialize_agent¶
- langchain.agents.initialize.initialize_agent(tools: Sequence[BaseTool], llm: BaseLanguageModel, agent: Optional[AgentType] = None, callback_manager: Optional[BaseCallbackManager] = None, agent_path: Optional[str] = None, agent_kwargs: Optional[dict] = None, *, tags: Optional[Sequence[str]] = None, **kwargs: Any) AgentExecutor[source]¶
[Deprecated] Load an agent executor given tools and LLM.
- Parameters
tools – List of tools this agent has access to.
llm – Language model to use as the agent.
agent – Agent type to use. If None and agent_path is also None, will default to AgentType.ZERO_SHOT_REACT_DESCRIPTION.
callback_manager – CallbackManager to use. Global callback manager is used if not provided. Defaults to None.
agent_path – Path to serialized agent to use.
agent_kwargs – Additional keyword arguments to pass to the underlying agent
tags – Tags to apply to the traced runs.
**kwargs – Additional keyword arguments passed to the agent executor
tools – List of tools this agent has access to.
llm – Language model to use as the agent.
agent – Agent type to use. If None and agent_path is also None, will default to AgentType.ZERO_SHOT_REACT_DESCRIPTION.
callback_manager – CallbackManager to use. Global callback manager is used if not provided. Defaults to None.
agent_path – Path to serialized agent to use.
agent_kwargs – Additional keyword arguments to pass to the underlying agent
tags – Tags to apply to the traced runs.
**kwargs – Additional keyword arguments passed to the agent executor
- Returns
An agent executor[Deprecated] Load an agent executor given tools and LLM.
- Returns
An agent executor
Notes
Deprecated since version 0.1.0: Use Use new agent constructor methods like create_react_agent, create_json_agent, create_structured_chat_agent, etc. instead.