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
  c4d956a6_5e8e_2de7_ff4e_0b3a24a247c8["_generate()"]
  57ddf66d_c931_0b69_9641_e283badbf659["InvalidTokenTypeModel"]
  c4d956a6_5e8e_2de7_ff4e_0b3a24a247c8 -->|defined in| 57ddf66d_c931_0b69_9641_e283badbf659
  style c4d956a6_5e8e_2de7_ff4e_0b3a24a247c8 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_summarization.py lines 717–724

        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 717.

Analyze Your Own Codebase

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

Try Supermodel Free