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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
  81286ab9_f502_8383_2247_58f0060802c5["_generate()"]
  05ab2f52_f888_2e4b_6f98_da4c4f7c8742["MissingTokensModel"]
  81286ab9_f502_8383_2247_58f0060802c5 -->|defined in| 05ab2f52_f888_2e4b_6f98_da4c4f7c8742
  style 81286ab9_f502_8383_2247_58f0060802c5 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 693–700

        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 693.

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