test_create_usage_metadata_with_cached_and_reasoning_tokens() — langchain Function Reference
Architecture documentation for the test_create_usage_metadata_with_cached_and_reasoning_tokens() function in test_chat_models.py from the langchain codebase.
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Dependency Diagram
graph TD a7e7d069_997e_9079_e329_a95f4751eacb["test_create_usage_metadata_with_cached_and_reasoning_tokens()"] 5bf2e477_37e0_3e98_4042_bc609f2f7f60["test_chat_models.py"] a7e7d069_997e_9079_e329_a95f4751eacb -->|defined in| 5bf2e477_37e0_3e98_4042_bc609f2f7f60 style a7e7d069_997e_9079_e329_a95f4751eacb fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/groq/tests/unit_tests/test_chat_models.py lines 472–495
def test_create_usage_metadata_with_cached_and_reasoning_tokens() -> None:
"""Test usage metadata with both cached and reasoning tokens."""
token_usage = {
"prompt_tokens": 2006,
"completion_tokens": 450,
"total_tokens": 2456,
"input_tokens_details": {"cached_tokens": 1920},
"output_tokens_details": {"reasoning_tokens": 200},
}
result = _create_usage_metadata(token_usage)
assert isinstance(result, dict)
assert result["input_tokens"] == 2006
assert result["output_tokens"] == 450
assert result["total_tokens"] == 2456
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" in result
assert isinstance(result["output_token_details"], dict)
assert result["output_token_details"]["reasoning"] == 200
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Frequently Asked Questions
What does test_create_usage_metadata_with_cached_and_reasoning_tokens() do?
test_create_usage_metadata_with_cached_and_reasoning_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_and_reasoning_tokens() defined?
test_create_usage_metadata_with_cached_and_reasoning_tokens() is defined in libs/partners/groq/tests/unit_tests/test_chat_models.py at line 472.
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