Home / Function/ test__construct_lc_result_from_responses_api_mixed_search_responses() — langchain Function Reference

test__construct_lc_result_from_responses_api_mixed_search_responses() — langchain Function Reference

Architecture documentation for the test__construct_lc_result_from_responses_api_mixed_search_responses() function in test_base.py from the langchain codebase.

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Dependency Diagram

graph TD
  03403669_b067_318b_91ff_8d462c084f27["test__construct_lc_result_from_responses_api_mixed_search_responses()"]
  48232d20_f8c1_b597_14fa_7dc407e9bfe5["test_base.py"]
  03403669_b067_318b_91ff_8d462c084f27 -->|defined in| 48232d20_f8c1_b597_14fa_7dc407e9bfe5
  style 03403669_b067_318b_91ff_8d462c084f27 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/openai/tests/unit_tests/chat_models/test_base.py lines 1953–2059

def test__construct_lc_result_from_responses_api_mixed_search_responses() -> None:
    """Test a response with both web search and file search outputs."""

    response = Response(
        id="resp_123",
        created_at=1234567890,
        model="gpt-4o",
        object="response",
        parallel_tool_calls=True,
        tools=[],
        tool_choice="auto",
        output=[
            ResponseOutputMessage(
                type="message",
                id="msg_123",
                content=[
                    ResponseOutputText(
                        type="output_text", text="Here's what I found:", annotations=[]
                    )
                ],
                role="assistant",
                status="completed",
            ),
            ResponseFunctionWebSearch(
                id="websearch_123",
                type="web_search_call",
                status="completed",
                action=ActionSearch(type="search", query="search query"),
            ),
            ResponseFileSearchToolCall(
                id="filesearch_123",
                type="file_search_call",
                status="completed",
                queries=["python code"],
                results=[
                    Result(
                        file_id="file_123",
                        filename="example.py",
                        score=0.95,
                        text="def hello_world() -> None:\n    print('Hello, world!')",
                    )
                ],
            ),
        ],
    )

    # v0
    result = _construct_lc_result_from_responses_api(response, output_version="v0")

    # Check message content
    assert result.generations[0].message.content == [
        {"type": "text", "text": "Here's what I found:", "annotations": []}
    ]

    # Check tool outputs
    assert "tool_outputs" in result.generations[0].message.additional_kwargs
    assert len(result.generations[0].message.additional_kwargs["tool_outputs"]) == 2

    # Check web search output
    web_search = next(
        output
        for output in result.generations[0].message.additional_kwargs["tool_outputs"]
        if output["type"] == "web_search_call"
    )
    assert web_search["id"] == "websearch_123"
    assert web_search["status"] == "completed"

    # Check file search output
    file_search = next(
        output
        for output in result.generations[0].message.additional_kwargs["tool_outputs"]
        if output["type"] == "file_search_call"
    )
    assert file_search["id"] == "filesearch_123"
    assert file_search["queries"] == ["python code"]
    assert file_search["results"][0]["filename"] == "example.py"

    # responses/v1
    result = _construct_lc_result_from_responses_api(response)
    assert result.generations[0].message.content == [
        {

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Frequently Asked Questions

What does test__construct_lc_result_from_responses_api_mixed_search_responses() do?
test__construct_lc_result_from_responses_api_mixed_search_responses() is a function in the langchain codebase, defined in libs/partners/openai/tests/unit_tests/chat_models/test_base.py.
Where is test__construct_lc_result_from_responses_api_mixed_search_responses() defined?
test__construct_lc_result_from_responses_api_mixed_search_responses() is defined in libs/partners/openai/tests/unit_tests/chat_models/test_base.py at line 1953.

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