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test_convert_to_openai_messages_reasoning_content() — langchain Function Reference

Architecture documentation for the test_convert_to_openai_messages_reasoning_content() function in test_utils.py from the langchain codebase.

Function python LangChainCore ApiManagement

Entity Profile

Dependency Diagram

graph TD
  80470b0b_6d5e_f68f_8faf_07752fa6fb55["test_convert_to_openai_messages_reasoning_content()"]
  03f6a5ae_d57a_eb66_626a_b9e082b763ea["test_utils.py"]
  80470b0b_6d5e_f68f_8faf_07752fa6fb55 -->|defined in| 03f6a5ae_d57a_eb66_626a_b9e082b763ea
  style 80470b0b_6d5e_f68f_8faf_07752fa6fb55 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/core/tests/unit_tests/messages/test_utils.py lines 1822–1880

def test_convert_to_openai_messages_reasoning_content() -> None:
    """Test convert_to_openai_messages with reasoning content blocks."""
    # Test reasoning block with empty summary
    msg = AIMessage(content=[{"type": "reasoning", "summary": []}])
    result = convert_to_openai_messages(msg, text_format="block")
    expected = {"role": "assistant", "content": [{"type": "reasoning", "summary": []}]}
    assert result == expected

    # Test reasoning block with summary content
    msg_with_summary = AIMessage(
        content=[
            {
                "type": "reasoning",
                "summary": [
                    {"type": "text", "text": "First thought"},
                    {"type": "text", "text": "Second thought"},
                ],
            }
        ]
    )
    result_with_summary = convert_to_openai_messages(
        msg_with_summary, text_format="block"
    )
    expected_with_summary = {
        "role": "assistant",
        "content": [
            {
                "type": "reasoning",
                "summary": [
                    {"type": "text", "text": "First thought"},
                    {"type": "text", "text": "Second thought"},
                ],
            }
        ],
    }
    assert result_with_summary == expected_with_summary

    # Test mixed content with reasoning and text
    mixed_msg = AIMessage(
        content=[
            {"type": "text", "text": "Regular response"},
            {
                "type": "reasoning",
                "summary": [{"type": "text", "text": "My reasoning process"}],
            },
        ]
    )
    mixed_result = convert_to_openai_messages(mixed_msg, text_format="block")
    expected_mixed = {
        "role": "assistant",
        "content": [
            {"type": "text", "text": "Regular response"},
            {
                "type": "reasoning",
                "summary": [{"type": "text", "text": "My reasoning process"}],
            },
        ],
    }
    assert mixed_result == expected_mixed

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Frequently Asked Questions

What does test_convert_to_openai_messages_reasoning_content() do?
test_convert_to_openai_messages_reasoning_content() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/messages/test_utils.py.
Where is test_convert_to_openai_messages_reasoning_content() defined?
test_convert_to_openai_messages_reasoning_content() is defined in libs/core/tests/unit_tests/messages/test_utils.py at line 1822.

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