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_agenerate() — langchain Function Reference

Architecture documentation for the _agenerate() function in fake_chat_model.py from the langchain codebase.

Entity Profile

Dependency Diagram

graph TD
  6a6b53ec_aa23_914e_695f_e158e3c856aa["_agenerate()"]
  c74d0ecf_3090_f22c_8651_7b95b58a1752["FakeChatModel"]
  6a6b53ec_aa23_914e_695f_e158e3c856aa -->|defined in| c74d0ecf_3090_f22c_8651_7b95b58a1752
  style 6a6b53ec_aa23_914e_695f_e158e3c856aa fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain/tests/unit_tests/llms/fake_chat_model.py lines 36–46

    async def _agenerate(
        self,
        messages: list[BaseMessage],
        stop: list[str] | None = None,
        run_manager: AsyncCallbackManagerForLLMRun | None = None,
        **kwargs: Any,
    ) -> ChatResult:
        output_str = "fake response"
        message = AIMessage(content=output_str)
        generation = ChatGeneration(message=message)
        return ChatResult(generations=[generation])

Domain

Subdomains

Frequently Asked Questions

What does _agenerate() do?
_agenerate() is a function in the langchain codebase, defined in libs/langchain/tests/unit_tests/llms/fake_chat_model.py.
Where is _agenerate() defined?
_agenerate() is defined in libs/langchain/tests/unit_tests/llms/fake_chat_model.py at line 36.

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