test_stop_sequence() — langchain Function Reference

Architecture documentation for the test_stop_sequence() function in test_chat_models_standard.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_stop_sequence() — langchain Function Reference

Dependency Diagram

graph TD
  d79ca2be_a4c0_d5a9_d7ef_a1d911055138["test_stop_sequence()"]
  74bfb603_d215_86d8_8c81_73eeb25c182b["TestXAIStandard"]
  d79ca2be_a4c0_d5a9_d7ef_a1d911055138 -->|defined in| 74bfb603_d215_86d8_8c81_73eeb25c182b
  style d79ca2be_a4c0_d5a9_d7ef_a1d911055138 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/xai/tests/integration_tests/test_chat_models_standard.py lines 44–58

    def test_stop_sequence(self, model: BaseChatModel) -> None:
        """Override to use `grok-3` which supports stop sequences."""
        params = {**self.chat_model_params, "model": "grok-3"}

        grok3_model = ChatXAI(**params)

        result = grok3_model.invoke("hi", stop=["you"])
        assert isinstance(result, AIMessage)

        custom_model = ChatXAI(
            **params,
            stop_sequences=["you"],
        )
        result = custom_model.invoke("hi")
        assert isinstance(result, AIMessage)