Home / Function/ test_perplexity_invoke_includes_num_search_queries() — langchain Function Reference

test_perplexity_invoke_includes_num_search_queries() — langchain Function Reference

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

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Dependency Diagram

graph TD
  d5ce5e5e_c612_40eb_039e_f48d77a4e5fb["test_perplexity_invoke_includes_num_search_queries()"]
  c1722844_1503_63a7_de81_d01bf41ba40d["test_chat_models.py"]
  d5ce5e5e_c612_40eb_039e_f48d77a4e5fb -->|defined in| c1722844_1503_63a7_de81_d01bf41ba40d
  style d5ce5e5e_c612_40eb_039e_f48d77a4e5fb fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/partners/perplexity/tests/unit_tests/test_chat_models.py lines 166–208

def test_perplexity_invoke_includes_num_search_queries(mocker: MockerFixture) -> None:
    """Test that invoke includes num_search_queries in response_metadata."""
    llm = ChatPerplexity(model="test", timeout=30, verbose=True)

    mock_usage = MagicMock()
    mock_usage.model_dump.return_value = {
        "prompt_tokens": 10,
        "completion_tokens": 20,
        "total_tokens": 30,
        "num_search_queries": 3,
        "search_context_size": "high",
    }

    mock_response = MagicMock()
    mock_response.choices = [
        MagicMock(
            message=MagicMock(
                content="Test response",
                tool_calls=None,
            ),
            finish_reason="stop",
        )
    ]
    mock_response.model = "test-model"
    mock_response.usage = mock_usage
    # Mock optional fields as empty/None
    mock_response.videos = None
    mock_response.reasoning_steps = None
    mock_response.citations = None
    mock_response.search_results = None
    mock_response.images = None
    mock_response.related_questions = None

    patcher = mocker.patch.object(
        llm.client.chat.completions, "create", return_value=mock_response
    )

    result = llm.invoke("Test query")

    assert result.response_metadata["num_search_queries"] == 3
    assert result.response_metadata["search_context_size"] == "high"
    assert result.response_metadata["model_name"] == "test-model"
    patcher.assert_called_once()

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Frequently Asked Questions

What does test_perplexity_invoke_includes_num_search_queries() do?
test_perplexity_invoke_includes_num_search_queries() is a function in the langchain codebase, defined in libs/partners/perplexity/tests/unit_tests/test_chat_models.py.
Where is test_perplexity_invoke_includes_num_search_queries() defined?
test_perplexity_invoke_includes_num_search_queries() is defined in libs/partners/perplexity/tests/unit_tests/test_chat_models.py at line 166.

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