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test_count_tokens_approximately_usage_metadata_scaling_total_tokens() — langchain Function Reference

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

Function python CoreAbstractions MessageSchema

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Dependency Diagram

graph TD
  c4a4065b_2ec8_5db2_774f_e60bbd5d6787["test_count_tokens_approximately_usage_metadata_scaling_total_tokens()"]
  ea3f8d89_f44b_6738_3cb9_a740a73cfca4["test_utils.py"]
  c4a4065b_2ec8_5db2_774f_e60bbd5d6787 -->|defined in| ea3f8d89_f44b_6738_3cb9_a740a73cfca4
  style c4a4065b_2ec8_5db2_774f_e60bbd5d6787 fill:#6366f1,stroke:#818cf8,color:#fff

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Source Code

libs/core/tests/unit_tests/messages/test_utils.py lines 1658–1673

def test_count_tokens_approximately_usage_metadata_scaling_total_tokens() -> None:
    messages = [
        HumanMessage("Hello"),
        AIMessage(
            "Hi",
            response_metadata={"model_provider": "openai"},
            # no usage metadata -> skip
        ),
    ]

    unscaled = count_tokens_approximately(messages, chars_per_token=5)
    scaled = count_tokens_approximately(
        messages, chars_per_token=5, use_usage_metadata_scaling=True
    )

    assert scaled == unscaled

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Frequently Asked Questions

What does test_count_tokens_approximately_usage_metadata_scaling_total_tokens() do?
test_count_tokens_approximately_usage_metadata_scaling_total_tokens() 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_total_tokens() defined?
test_count_tokens_approximately_usage_metadata_scaling_total_tokens() is defined in libs/core/tests/unit_tests/messages/test_utils.py at line 1658.

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