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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
  58d9edd6_f9c8_25b5_3fb4_0f2d1b04e08c["_generate()"]
  0046c1d9_5751_2342_39c7_f6d868ce1c43["MockChatModel"]
  58d9edd6_f9c8_25b5_3fb4_0f2d1b04e08c -->|defined in| 0046c1d9_5751_2342_39c7_f6d868ce1c43
  style 58d9edd6_f9c8_25b5_3fb4_0f2d1b04e08c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 50–57

    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 50.

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