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test_structured_output_deeply_nested() — langchain Function Reference

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

Entity Profile

Dependency Diagram

graph TD
  5eaf1e4a_0a99_3480_f89a_23690c169246["test_structured_output_deeply_nested()"]
  71dcb56e_a445_727d_c4bb_5dc733f24038["test_chat_models.py"]
  5eaf1e4a_0a99_3480_f89a_23690c169246 -->|defined in| 71dcb56e_a445_727d_c4bb_5dc733f24038
  style 5eaf1e4a_0a99_3480_f89a_23690c169246 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models.py lines 116–145

def test_structured_output_deeply_nested(model: str) -> None:
    """Test to verify structured output with a nested objects."""
    llm = ChatOllama(model=model, temperature=0)

    class Person(BaseModel):
        """Information about a person."""

        name: str | None = Field(default=None, description="The name of the person")
        hair_color: str | None = Field(
            default=None, description="The color of the person's hair if known"
        )
        height_in_meters: str | None = Field(
            default=None, description="Height measured in meters"
        )

    class Data(BaseModel):
        """Extracted data about people."""

        people: list[Person]

    chat = llm.with_structured_output(Data)
    text = (
        "Alan Smith is 6 feet tall and has blond hair."
        "Alan Poe is 3 feet tall and has grey hair."
    )
    result = chat.invoke(text)
    assert isinstance(result, Data)

    for chunk in chat.stream(text):
        assert isinstance(chunk, Data)

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Frequently Asked Questions

What does test_structured_output_deeply_nested() do?
test_structured_output_deeply_nested() is a function in the langchain codebase, defined in libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models.py.
Where is test_structured_output_deeply_nested() defined?
test_structured_output_deeply_nested() is defined in libs/partners/ollama/tests/integration_tests/chat_models/test_chat_models.py at line 116.

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