_generate() — langchain Function Reference
Architecture documentation for the _generate() function in test_summarization.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 665fe751_1490_e51d_0cc3_a50952299699["_generate()"] a6eb5a5f_d590_c4d2_6405_d147e8065b15["ErrorModel"] 665fe751_1490_e51d_0cc3_a50952299699 -->|defined in| a6eb5a5f_d590_c4d2_6405_d147e8065b15 style 665fe751_1490_e51d_0cc3_a50952299699 fill:#6366f1,stroke:#818cf8,color:#fff
Relationship Graph
Source Code
libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 199–206
def _generate(
self,
messages: list[BaseMessage],
stop: list[str] | None = None,
run_manager: CallbackManagerForLLMRun | None = None,
**kwargs: Any,
) -> ChatResult:
return ChatResult(generations=[ChatGeneration(message=AIMessage(content="Summary"))])
Domain
Subdomains
Defined In
Source
Frequently Asked Questions
What does _generate() do?
_generate() is a function in the langchain codebase, defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py.
Where is _generate() defined?
_generate() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py at line 199.
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