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[source]#

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