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_generate() — langchain Function Reference

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

Entity Profile

Dependency Diagram

graph TD
  3fca6306_e829_107e_b059_5c8f66b2aeea["_generate()"]
  4e783b0f_b048_86db_19ed_af86b855def4["LengthChatModel"]
  3fca6306_e829_107e_b059_5c8f66b2aeea -->|defined in| 4e783b0f_b048_86db_19ed_af86b855def4
  style 3fca6306_e829_107e_b059_5c8f66b2aeea fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/core/tests/unit_tests/runnables/test_history.py lines 285–295

    def _generate(
        self,
        messages: list[BaseMessage],
        stop: list[str] | None = None,
        run_manager: CallbackManagerForLLMRun | None = None,
        **kwargs: Any,
    ) -> ChatResult:
        """Top Level call."""
        return ChatResult(
            generations=[ChatGeneration(message=AIMessage(content=str(len(messages))))]
        )

Domain

Subdomains

Frequently Asked Questions

What does _generate() do?
_generate() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/runnables/test_history.py.
Where is _generate() defined?
_generate() is defined in libs/core/tests/unit_tests/runnables/test_history.py at line 285.

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