from_llm_and_tools() — langchain Function Reference

Source Code

libs/langchain/langchain_classic/agents/openai_functions_multi_agent/base.py lines 302–337

    def from_llm_and_tools(
        cls,
        llm: BaseLanguageModel,
        tools: Sequence[BaseTool],
        callback_manager: BaseCallbackManager | None = None,
        extra_prompt_messages: list[BaseMessagePromptTemplate] | None = None,
        system_message: SystemMessage | None = _NOT_SET,  # type: ignore[assignment]
        **kwargs: Any,
    ) -> BaseMultiActionAgent:
        """Construct an agent from an LLM and tools.

        Args:
            llm: The language model to use.
            tools: A list of tools to use.
            callback_manager: The callback manager to use.
            extra_prompt_messages: Extra prompt messages to use.
            system_message: The system message to use. Default is a default system
                message.
            kwargs: Additional arguments.
        """
        system_message_ = (
            system_message
            if system_message is not _NOT_SET
            else SystemMessage(content="You are a helpful AI assistant.")
        )
        prompt = cls.create_prompt(
            extra_prompt_messages=extra_prompt_messages,
            system_message=system_message_,
        )
        return cls(
            llm=llm,
            prompt=prompt,
            tools=tools,
            callback_manager=callback_manager,
            **kwargs,
        )