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from_llm_and_tools() — langchain Function Reference

Architecture documentation for the from_llm_and_tools() function in base.py from the langchain codebase.

Function python AgentOrchestration ActionLogic calls 3

Entity Profile

Dependency Diagram

graph TD
  4036bc45_ce9e_61e8_00e6_622f409e339f["from_llm_and_tools()"]
  826e6477_6abe_d406_5d34_9df3fbec8707["StructuredChatAgent"]
  4036bc45_ce9e_61e8_00e6_622f409e339f -->|defined in| 826e6477_6abe_d406_5d34_9df3fbec8707
  81ebad27_b83f_0f42_afc8_372e9551a3bf["_validate_tools()"]
  4036bc45_ce9e_61e8_00e6_622f409e339f -->|calls| 81ebad27_b83f_0f42_afc8_372e9551a3bf
  54ba14c3_66dc_1c53_97a4_c6a0c1b24dbd["create_prompt()"]
  4036bc45_ce9e_61e8_00e6_622f409e339f -->|calls| 54ba14c3_66dc_1c53_97a4_c6a0c1b24dbd
  9b0d5ae0_54f8_f509_bed8_ff75b67abd77["_get_default_output_parser()"]
  4036bc45_ce9e_61e8_00e6_622f409e339f -->|calls| 9b0d5ae0_54f8_f509_bed8_ff75b67abd77
  style 4036bc45_ce9e_61e8_00e6_622f409e339f fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/langchain_classic/agents/structured_chat/base.py lines 122–159

    def from_llm_and_tools(
        cls,
        llm: BaseLanguageModel,
        tools: Sequence[BaseTool],
        callback_manager: BaseCallbackManager | None = None,
        output_parser: AgentOutputParser | None = None,
        prefix: str = PREFIX,
        suffix: str = SUFFIX,
        human_message_template: str = HUMAN_MESSAGE_TEMPLATE,
        format_instructions: str = FORMAT_INSTRUCTIONS,
        input_variables: list[str] | None = None,
        memory_prompts: list[BasePromptTemplate] | None = None,
        **kwargs: Any,
    ) -> Agent:
        """Construct an agent from an LLM and tools."""
        cls._validate_tools(tools)
        prompt = cls.create_prompt(
            tools,
            prefix=prefix,
            suffix=suffix,
            human_message_template=human_message_template,
            format_instructions=format_instructions,
            input_variables=input_variables,
            memory_prompts=memory_prompts,
        )
        llm_chain = LLMChain(
            llm=llm,
            prompt=prompt,
            callback_manager=callback_manager,
        )
        tool_names = [tool.name for tool in tools]
        _output_parser = output_parser or cls._get_default_output_parser(llm=llm)
        return cls(
            llm_chain=llm_chain,
            allowed_tools=tool_names,
            output_parser=_output_parser,
            **kwargs,
        )

Domain

Subdomains

Defined In

Calls

Source

Frequently Asked Questions

What does from_llm_and_tools() do?
from_llm_and_tools() is a function in the langchain codebase, defined in libs/langchain/langchain_classic/agents/structured_chat/base.py.
Where is from_llm_and_tools() defined?
from_llm_and_tools() is defined in libs/langchain/langchain_classic/agents/structured_chat/base.py at line 122.
What does from_llm_and_tools() call?
from_llm_and_tools() calls 3 function(s): _get_default_output_parser, _validate_tools, create_prompt.

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