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    Pythonlangchain-classicagentsconversationalbaseConversationalAgentfrom_llm_and_tools
    Method●Since v1.0

    from_llm_and_tools

    Copy
    from_llm_and_tools(
      cls,
      llm: BaseLanguageModel,
      tools: Sequence[BaseTool],
      callback_manager:
    View source on GitHub
    BaseCallbackManager
    |
    None
    =
    None
    ,
    output_parser
    :
    AgentOutputParser
    |
    None
    =
    None
    ,
    prefix
    :
    str
    =
    PREFIX
    ,
    suffix
    :
    str
    =
    SUFFIX
    ,
    format_instructions
    :
    str
    =
    FORMAT_INSTRUCTIONS
    ,
    ai_prefix
    :
    str
    =
    'AI'
    ,
    human_prefix
    :
    str
    =
    'Human'
    ,
    input_variables
    :
    list
    [
    str
    ]
    |
    None
    =
    None
    ,
    **
    kwargs
    :
    Any
    =
    {
    }
    )
    ->
    Agent

    Parameters

    NameTypeDescription
    llm*BaseLanguageModel

    The language model to use.

    tools*Sequence[BaseTool]

    A list of tools to use.

    callback_managerBaseCallbackManager | None
    Default:None

    The callback manager to use.

    output_parserAgentOutputParser | None
    Default:None
    prefixstr
    Default:PREFIX
    suffixstr
    Default:SUFFIX
    format_instructionsstr
    Default:FORMAT_INSTRUCTIONS
    ai_prefixstr
    Default:'AI'
    human_prefixstr
    Default:'Human'
    input_variableslist[str] | None
    Default:None
    **kwargsAny
    Default:{}

    Construct an agent from an LLM and tools.

    The output parser to use.

    The prefix to use in the prompt.

    The suffix to use in the prompt.

    The format instructions to use.

    The prefix to use before AI output.

    The prefix to use before human output.

    The input variables to use.

    Any additional keyword arguments to pass to the agent.