TestHuggingFaceEndpoint Class — langchain Architecture

Architecture documentation for the TestHuggingFaceEndpoint class in test_standard.py from the langchain codebase.

Class python

Entity Profile

Dependency Diagram

graph TD
  cd007332_e9cb_34d2_f02c_d0d938bf994b["TestHuggingFaceEndpoint"]
  971e928f_9c9b_ce7a_b93d_e762f2f5aa54["ChatModelIntegrationTests"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|extends| 971e928f_9c9b_ce7a_b93d_e762f2f5aa54
  3102beea_11b5_beb9_a505_29b2d7e061c1["test_standard.py"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|defined in| 3102beea_11b5_beb9_a505_29b2d7e061c1
  c13995ed_e150_9243_e79c_66e937757eac["chat_model_class()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| c13995ed_e150_9243_e79c_66e937757eac
  bec12f57_3433_282d_98bc_c4655ddb8ec7["chat_model_params()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| bec12f57_3433_282d_98bc_c4655ddb8ec7
  374bb899_687c_8cbb_cbbc_a831ffab284c["model()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| 374bb899_687c_8cbb_cbbc_a831ffab284c
  d9e8926a_ba98_edea_7e3c_5f04e6a32fbe["test_structured_output()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| d9e8926a_ba98_edea_7e3c_5f04e6a32fbe
  e225924d_c52b_5e53_ecea_72cc427d6b87["test_structured_output_async()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| e225924d_c52b_5e53_ecea_72cc427d6b87
  26b87fd1_07e7_de2a_6479_cbb40c81e234["test_structured_output_pydantic_2_v1()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| 26b87fd1_07e7_de2a_6479_cbb40c81e234
  c3625bfb_dfe4_8086_857f_477bc7a5cb9d["test_structured_output_optional_param()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| c3625bfb_dfe4_8086_857f_477bc7a5cb9d
  bd69217e_199b_9629_d4f8_dbefe6532e50["test_tool_message_histories_list_content()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| bd69217e_199b_9629_d4f8_dbefe6532e50
  0c4ad5fe_0850_d880_bf99_6c5f5a69e9e7["has_tool_choice()"]
  cd007332_e9cb_34d2_f02c_d0d938bf994b -->|method| 0c4ad5fe_0850_d880_bf99_6c5f5a69e9e7

Relationship Graph

Source Code

libs/partners/huggingface/tests/integration_tests/test_standard.py lines 13–72

class TestHuggingFaceEndpoint(ChatModelIntegrationTests):
    @property
    def chat_model_class(self) -> type[BaseChatModel]:
        return ChatHuggingFace

    @property
    def chat_model_params(self) -> dict:
        llm = HuggingFaceEndpoint(  # type: ignore[call-arg]
            repo_id="meta-llama/Llama-4-Maverick-17B-128E-Instruct",
            task="conversational",
            provider="fireworks-ai",
            temperature=0,
        )
        return {"llm": llm}

    @pytest.fixture
    def model(self, request: Any) -> BaseChatModel:
        return self.chat_model_class(**self.chat_model_params)  # type: ignore[call-arg]

    @pytest.mark.xfail(
        reason=("Overrding, testing only typed dict and json schema structured output")
    )
    @pytest.mark.parametrize("schema_type", ["typeddict", "json_schema"])
    def test_structured_output(
        self,
        model: BaseChatModel,
        schema_type: Literal["pydantic", "typeddict", "json_schema"],
    ) -> None:
        super().test_structured_output(model, schema_type)

    @pytest.mark.xfail(
        reason=("Overrding, testing only typed dict and json schema structured output")
    )
    @pytest.mark.parametrize("schema_type", ["typeddict", "json_schema"])
    async def test_structured_output_async(
        self,
        model: BaseChatModel,
        schema_type: Literal["pydantic", "typeddict", "json_schema"],
    ) -> None:
        super().test_structured_output(model, schema_type)

    @pytest.mark.xfail(reason=("Pydantic structured output is not supported"))
    def test_structured_output_pydantic_2_v1(self, model: BaseChatModel) -> None:
        super().test_structured_output_pydantic_2_v1(model)

    @pytest.mark.xfail(reason=("Pydantic structured output is not supported"))
    def test_structured_output_optional_param(self, model: BaseChatModel) -> None:
        super().test_structured_output_optional_param(model)

    @pytest.mark.xfail(reason=("Not implemented"))
    def test_tool_message_histories_list_content(
        self, model: BaseChatModel, my_adder_tool: BaseTool
    ) -> None:
        super().test_tool_message_histories_list_content(
            model, my_adder_tool=my_adder_tool
        )

    @property
    def has_tool_choice(self) -> bool:
        return False