langchain Architecture Docs
Home / Function/ _generate() — langchain Function Reference

_generate() — langchain Function Reference

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

Function python LangChainCore Runnables

Entity Profile

Dependency Diagram

graph TD
  af1749fc_7bfa_a61f_1534_047ed5fb6c0c["_generate()"]
  eecf1cc4_88fc_befe_ee29_3f8060e1bf4b["ConfigCapturingModel"]
  af1749fc_7bfa_a61f_1534_047ed5fb6c0c -->|defined in| eecf1cc4_88fc_befe_ee29_3f8060e1bf4b
  style af1749fc_7bfa_a61f_1534_047ed5fb6c0c fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 1275–1282

    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 1275.

Analyze Your Own Codebase

Get architecture documentation, dependency graphs, and domain analysis for your codebase in minutes.

Try Supermodel Free