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_generate() — langchain Function Reference

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

Entity Profile

Dependency Diagram

graph TD
  3f60de68_8c1e_bf29_b359_c9e0a34711fb["_generate()"]
  a98af8d5_63c2_d67d_53a0_06a07dcab577["FakeEmulatorModel"]
  3f60de68_8c1e_bf29_b359_c9e0a34711fb -->|defined in| a98af8d5_63c2_d67d_53a0_06a07dcab577
  style 3f60de68_8c1e_bf29_b359_c9e0a34711fb fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py lines 91–100

    def _generate(
        self,
        messages: list[BaseMessage],
        stop: list[str] | None = None,
        run_manager: Any = None,
        **kwargs: Any,
    ) -> Any:
        response = self.responses[self.response_index % len(self.responses)]
        self.response_index += 1
        return ChatResult(generations=[ChatGeneration(message=AIMessage(content=response))])

Domain

Subdomains

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_tool_emulator.py.
Where is _generate() defined?
_generate() is defined in libs/langchain_v1/tests/unit_tests/agents/middleware/implementations/test_tool_emulator.py at line 91.

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