FakeStructuredOutputModel Class — langchain Architecture

Architecture documentation for the FakeStructuredOutputModel class in test_fallbacks.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  051e834b_8bff_dcab_1e7b_589fc47bacd2["FakeStructuredOutputModel"]
  48aa29b8_65e7_522f_a445_a441eeb6baff["BaseChatModel"]
  051e834b_8bff_dcab_1e7b_589fc47bacd2 -->|extends| 48aa29b8_65e7_522f_a445_a441eeb6baff
  905e276b_98d0_eba1_e23b_8303081c1894["test_fallbacks.py"]
  051e834b_8bff_dcab_1e7b_589fc47bacd2 -->|defined in| 905e276b_98d0_eba1_e23b_8303081c1894
  e40a4c4e_4d01_6f86_90da_070609508213["_generate()"]
  051e834b_8bff_dcab_1e7b_589fc47bacd2 -->|method| e40a4c4e_4d01_6f86_90da_070609508213
  5038135d_7d6b_0c01_1dbb_69a9849dcfd9["bind_tools()"]
  051e834b_8bff_dcab_1e7b_589fc47bacd2 -->|method| 5038135d_7d6b_0c01_1dbb_69a9849dcfd9
  1603dc76_43e6_51c9_6f00_cb794d486c11["with_structured_output()"]
  051e834b_8bff_dcab_1e7b_589fc47bacd2 -->|method| 1603dc76_43e6_51c9_6f00_cb794d486c11
  6e44e31c_ca30_ce21_8016_106a091c55ea["_llm_type()"]
  051e834b_8bff_dcab_1e7b_589fc47bacd2 -->|method| 6e44e31c_ca30_ce21_8016_106a091c55ea

Relationship Graph

Source Code

libs/core/tests/unit_tests/runnables/test_fallbacks.py lines 321–351

class FakeStructuredOutputModel(BaseChatModel):
    foo: int

    @override
    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=[])

    @override
    def bind_tools(
        self,
        tools: Sequence[dict[str, Any] | type[BaseModel] | Callable | BaseTool],
        **kwargs: Any,
    ) -> Runnable[LanguageModelInput, AIMessage]:
        return self.bind(tools=tools)

    @override
    def with_structured_output(
        self, schema: dict | type[BaseModel], **kwargs: Any
    ) -> Runnable[LanguageModelInput, dict[str, int] | BaseModel]:
        return RunnableLambda(lambda _: {"foo": self.foo})

    @property
    def _llm_type(self) -> str:
        return "fake1"