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test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() — langchain Function Reference

Architecture documentation for the test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() function in test_utils.py from the langchain codebase.

Function python CoreAbstractions MessageSchema

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Dependency Diagram

graph TD
  ddf40626_69c3_74e2_6a95_3d719d86b805["test_count_tokens_approximately_usage_metadata_scaling_floor_at_one()"]
  ea3f8d89_f44b_6738_3cb9_a740a73cfca4["test_utils.py"]
  ddf40626_69c3_74e2_6a95_3d719d86b805 -->|defined in| ea3f8d89_f44b_6738_3cb9_a740a73cfca4
  style ddf40626_69c3_74e2_6a95_3d719d86b805 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/core/tests/unit_tests/messages/test_utils.py lines 1676–1692

def test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() -> None:
    messages = [
        HumanMessage("text"),
        AIMessage(
            "text",
            response_metadata={"model_provider": "openai"},
            # Set total_tokens lower than the approximate count up through this message.
            usage_metadata={"input_tokens": 0, "output_tokens": 0, "total_tokens": 1},
        ),
        HumanMessage("text"),
    ]

    unscaled = count_tokens_approximately(messages)
    scaled = count_tokens_approximately(messages, use_usage_metadata_scaling=True)

    # scale factor would be < 1, but we floor it at 1.0 to avoid decreasing counts
    assert scaled == unscaled

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Frequently Asked Questions

What does test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() do?
test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/messages/test_utils.py.
Where is test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() defined?
test_count_tokens_approximately_usage_metadata_scaling_floor_at_one() is defined in libs/core/tests/unit_tests/messages/test_utils.py at line 1676.

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