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# `langchain_experimental.plan_and_execute.executors.agent_executor`.load_agent_executor

langchain_experimental.plan_and_execute.executors.agent_executor.load_agent_executor(llm: BaseLanguageModel, tools: List[BaseTool], verbose: bool = False, include_task_in_prompt: bool = False) → ChainExecutor

  Load an agent executor.

  Parameters

    - llm (BaseLanguageModel) – BaseLanguageModel

    - tools (List[BaseTool]) – List[BaseTool]

    - verbose (bool) – bool. Defaults to False.

    - include_task_in_prompt (bool) – bool. Defaults to False.

  Returns

    ChainExecutor

  Return type

    ChainExecutor