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test_create_usage_metadata_responses_api_format() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  784922cb_c02e_ffa9_cacc_2408569e25c6["test_create_usage_metadata_responses_api_format()"]
  5bf2e477_37e0_3e98_4042_bc609f2f7f60["test_chat_models.py"]
  784922cb_c02e_ffa9_cacc_2408569e25c6 -->|defined in| 5bf2e477_37e0_3e98_4042_bc609f2f7f60
  style 784922cb_c02e_ffa9_cacc_2408569e25c6 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/groq/tests/unit_tests/test_chat_models.py lines 314–332

def test_create_usage_metadata_responses_api_format() -> None:
    """Test usage metadata creation with new Responses API format."""
    token_usage = {
        "input_tokens": 1590,
        "output_tokens": 77,
        "total_tokens": 1667,
        "input_tokens_details": {"cached_tokens": 1536},
        "output_tokens_details": {"reasoning_tokens": 0},
    }

    result = _create_usage_metadata(token_usage)

    assert isinstance(result, dict)
    assert result["input_tokens"] == 1590
    assert result["output_tokens"] == 77
    assert result["total_tokens"] == 1667
    assert result.get("input_token_details", {}).get("cache_read") == 1536
    # reasoning_tokens is 0, so filtered out
    assert "output_token_details" not in result

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Defined In

Source

Frequently Asked Questions

What does test_create_usage_metadata_responses_api_format() do?
test_create_usage_metadata_responses_api_format() is a function in the langchain codebase, defined in libs/partners/groq/tests/unit_tests/test_chat_models.py.
Where is test_create_usage_metadata_responses_api_format() defined?
test_create_usage_metadata_responses_api_format() is defined in libs/partners/groq/tests/unit_tests/test_chat_models.py at line 314.

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