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test_create_usage_metadata_with_cached_tokens() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

Dependency Diagram

graph TD
  0cf8b8d0_d5c6_9cdd_cb6f_b0b523c35f40["test_create_usage_metadata_with_cached_tokens()"]
  5bf2e477_37e0_3e98_4042_bc609f2f7f60["test_chat_models.py"]
  0cf8b8d0_d5c6_9cdd_cb6f_b0b523c35f40 -->|defined in| 5bf2e477_37e0_3e98_4042_bc609f2f7f60
  style 0cf8b8d0_d5c6_9cdd_cb6f_b0b523c35f40 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/groq/tests/unit_tests/test_chat_models.py lines 355–373

def test_create_usage_metadata_with_cached_tokens() -> None:
    """Test usage metadata with prompt caching."""
    token_usage = {
        "prompt_tokens": 2006,
        "completion_tokens": 300,
        "total_tokens": 2306,
        "input_tokens_details": {"cached_tokens": 1920},
    }

    result = _create_usage_metadata(token_usage)

    assert isinstance(result, dict)
    assert result["input_tokens"] == 2006
    assert result["output_tokens"] == 300
    assert result["total_tokens"] == 2306
    assert "input_token_details" in result
    assert isinstance(result["input_token_details"], dict)
    assert result["input_token_details"]["cache_read"] == 1920
    assert "output_token_details" not in result

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Source

Frequently Asked Questions

What does test_create_usage_metadata_with_cached_tokens() do?
test_create_usage_metadata_with_cached_tokens() 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_with_cached_tokens() defined?
test_create_usage_metadata_with_cached_tokens() is defined in libs/partners/groq/tests/unit_tests/test_chat_models.py at line 355.

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