test_create_usage_metadata_basic() — langchain Function Reference

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

Function python LangChainCore LanguageModelBase

Entity Profile

LangChainCore→ LanguageModelBase→ test_create_usage_metadata_basic() — langchain Function Reference

Dependency Diagram

graph TD
  5d27fbf7_4845_9aca_26e4_7c8e6d471288["test_create_usage_metadata_basic()"]
  c1722844_1503_63a7_de81_d01bf41ba40d["test_chat_models.py"]
  5d27fbf7_4845_9aca_26e4_7c8e6d471288 -->|defined in| c1722844_1503_63a7_de81_d01bf41ba40d
  style 5d27fbf7_4845_9aca_26e4_7c8e6d471288 fill:#6366f1,stroke:#818cf8,color:#fff

Relationship Graph

Source Code

libs/partners/perplexity/tests/unit_tests/test_chat_models.py lines 147–163

def test_create_usage_metadata_basic() -> None:
    """Test _create_usage_metadata with basic token counts."""
    token_usage = {
        "prompt_tokens": 10,
        "completion_tokens": 20,
        "total_tokens": 30,
        "reasoning_tokens": 0,
        "citation_tokens": 0,
    }

    usage_metadata = _create_usage_metadata(token_usage)

    assert usage_metadata["input_tokens"] == 10
    assert usage_metadata["output_tokens"] == 20
    assert usage_metadata["total_tokens"] == 30
    assert usage_metadata["output_token_details"]["reasoning"] == 0
    assert usage_metadata["output_token_details"]["citation_tokens"] == 0  # type: ignore[typeddict-item]