test_strict_tool_use() — langchain Function Reference

Architecture documentation for the test_strict_tool_use() function in test_chat_models.py from the langchain codebase.

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_strict_tool_use() — langchain Function Reference

Dependency Diagram

graph TD
  a2d4ab01_8672_2055_e79d_fc3990ae7743["test_strict_tool_use()"]
  f27640dd_3870_5548_d153_f9504ae1021f["test_chat_models.py"]
  a2d4ab01_8672_2055_e79d_fc3990ae7743 -->|defined in| f27640dd_3870_5548_d153_f9504ae1021f
  style a2d4ab01_8672_2055_e79d_fc3990ae7743 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/anthropic/tests/integration_tests/test_chat_models.py lines 778–790

def test_strict_tool_use() -> None:
    model = ChatAnthropic(
        model="claude-sonnet-4-5",  # type: ignore[call-arg]
    )

    def get_weather(location: str, unit: Literal["C", "F"]) -> str:
        """Get the weather at a location."""
        return "75 degrees Fahrenheit."

    model_with_tools = model.bind_tools([get_weather], strict=True)

    response = model_with_tools.invoke("What's the weather in Boston, in Celsius?")
    assert response.tool_calls