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test_parse_structured_output_markdown_with_think_tags() — langchain Function Reference

Architecture documentation for the test_parse_structured_output_markdown_with_think_tags() function in test_output_parsers.py from the langchain codebase.

Function python LangChainCore Runnables

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Dependency Diagram

graph TD
  eeb8cda0_ab7e_301e_cb31_33b8bb276b70["test_parse_structured_output_markdown_with_think_tags()"]
  78e02bb9_2694_e9a5_aaa1_e8312a190104["TestReasoningStructuredOutputParser"]
  eeb8cda0_ab7e_301e_cb31_33b8bb276b70 -->|defined in| 78e02bb9_2694_e9a5_aaa1_e8312a190104
  style eeb8cda0_ab7e_301e_cb31_33b8bb276b70 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/perplexity/tests/unit_tests/test_output_parsers.py lines 235–249

    def test_parse_structured_output_markdown_with_think_tags(self) -> None:
        """Test parsing markdown-wrapped structured output with think tags."""
        parser: ReasoningStructuredOutputParser[MockPerson] = (
            ReasoningStructuredOutputParser(pydantic_object=MockPerson)
        )
        text = """<think>Building person object</think>
```json
{"name": "Alice Brown", "age": 35, "email": "alice@example.com"}
```"""
        generation = Generation(text=text)
        result = parser.parse_result([generation])
        assert isinstance(result, MockPerson)
        assert result.name == "Alice Brown"
        assert result.age == 35
        assert result.email == "alice@example.com"

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Frequently Asked Questions

What does test_parse_structured_output_markdown_with_think_tags() do?
test_parse_structured_output_markdown_with_think_tags() is a function in the langchain codebase, defined in libs/partners/perplexity/tests/unit_tests/test_output_parsers.py.
Where is test_parse_structured_output_markdown_with_think_tags() defined?
test_parse_structured_output_markdown_with_think_tags() is defined in libs/partners/perplexity/tests/unit_tests/test_output_parsers.py at line 235.

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