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_generate() — langchain Function Reference

Architecture documentation for the _generate() function in test_summarization.py from the langchain codebase.

Function python LangChainCore MessageInterface

Entity Profile

Dependency Diagram

graph TD
  11b65dd1_d29e_f975_c6e4_322785710e3c["_generate()"]
  95ce2b20_a0fe_0de1_7f52_030165278d72["ErrorAsyncModel"]
  11b65dd1_d29e_f975_c6e4_322785710e3c -->|defined in| 95ce2b20_a0fe_0de1_7f52_030165278d72
  style 11b65dd1_d29e_f975_c6e4_322785710e3c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 906–913

        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 906.

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