TestGroq Class — langchain Architecture

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

Class python

Entity Profile

Dependency Diagram

graph TD
  88a75621_a7b1_4a8e_e627_6e20460cb338["TestGroq"]
  971e928f_9c9b_ce7a_b93d_e762f2f5aa54["ChatModelIntegrationTests"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|extends| 971e928f_9c9b_ce7a_b93d_e762f2f5aa54
  cccb55dd_44c7_c92f_75a0_aa1cc79fdaed["test_standard.py"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|defined in| cccb55dd_44c7_c92f_75a0_aa1cc79fdaed
  8389efc6_bd47_2a0a_9b81_4f4749b49ab4["chat_model_class()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| 8389efc6_bd47_2a0a_9b81_4f4749b49ab4
  c54374c0_e192_172f_b541_390a7fec1649["chat_model_params()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| c54374c0_e192_172f_b541_390a7fec1649
  49a5de40_267e_13e6_5f1a_eacdbd935340["test_bind_runnables_as_tools()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| 49a5de40_267e_13e6_5f1a_eacdbd935340
  49042894_862e_2d65_681b_0b0d928c987e["test_tool_calling()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| 49042894_862e_2d65_681b_0b0d928c987e
  7091921e_2826_b20a_cb41_0a1f8f4cc2cf["test_tool_calling_async()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| 7091921e_2826_b20a_cb41_0a1f8f4cc2cf
  f2a5b622_a0d0_c4f2_7999_72cf1522dde0["test_tool_calling_with_no_arguments()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| f2a5b622_a0d0_c4f2_7999_72cf1522dde0
  ecb06dd9_7944_1d76_bba9_33f7c8830a57["supports_json_mode()"]
  88a75621_a7b1_4a8e_e627_6e20460cb338 -->|method| ecb06dd9_7944_1d76_bba9_33f7c8830a57

Relationship Graph

Source Code

libs/partners/groq/tests/integration_tests/test_standard.py lines 17–50

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

    @property
    def chat_model_params(self) -> dict:
        return {"model": "llama-3.3-70b-versatile", "rate_limiter": rate_limiter}

    @pytest.mark.xfail(
        reason="Groq models have inconsistent tool calling performance. See: "
        "https://github.com/langchain-ai/langchain/discussions/19990"
    )
    def test_bind_runnables_as_tools(self, model: BaseChatModel) -> None:
        super().test_bind_runnables_as_tools(model)

    @pytest.mark.xfail(reason="Retry flaky tool calling behavior")
    @pytest.mark.retry(count=3, delay=1)
    def test_tool_calling(self, model: BaseChatModel) -> None:
        super().test_tool_calling(model)

    @pytest.mark.xfail(reason="Retry flaky tool calling behavior")
    @pytest.mark.retry(count=3, delay=1)
    async def test_tool_calling_async(self, model: BaseChatModel) -> None:
        await super().test_tool_calling_async(model)

    @pytest.mark.xfail(reason="Retry flaky tool calling behavior")
    @pytest.mark.retry(count=3, delay=1)
    def test_tool_calling_with_no_arguments(self, model: BaseChatModel) -> None:
        super().test_tool_calling_with_no_arguments(model)

    @property
    def supports_json_mode(self) -> bool:
        return True