_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
Source
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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