test_combine_llm_outputs_with_missing_details() — langchain Function Reference
Architecture documentation for the test_combine_llm_outputs_with_missing_details() function in test_chat_models.py from the langchain codebase.
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Dependency Diagram
graph TD 3954f029_5420_d202_8e6f_31b1cf639834["test_combine_llm_outputs_with_missing_details()"] 5bf2e477_37e0_3e98_4042_bc609f2f7f60["test_chat_models.py"] 3954f029_5420_d202_8e6f_31b1cf639834 -->|defined in| 5bf2e477_37e0_3e98_4042_bc609f2f7f60 style 3954f029_5420_d202_8e6f_31b1cf639834 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/partners/groq/tests/unit_tests/test_chat_models.py lines 913–943
def test_combine_llm_outputs_with_missing_details() -> None:
"""Test _combine_llm_outputs when some outputs have details and others don't."""
llm = ChatGroq(model="test-model")
llm_outputs: list[dict[str, Any] | None] = [
{
"token_usage": {
"prompt_tokens": 100,
"completion_tokens": 50,
"total_tokens": 150,
},
"model_name": "test-model",
},
{
"token_usage": {
"prompt_tokens": 200,
"completion_tokens": 100,
"total_tokens": 300,
"output_tokens_details": {"reasoning_tokens": 40},
},
"model_name": "test-model",
},
]
result = llm._combine_llm_outputs(llm_outputs)
assert result["token_usage"]["prompt_tokens"] == 300
assert result["token_usage"]["completion_tokens"] == 150
assert result["token_usage"]["total_tokens"] == 450
assert result["token_usage"]["output_tokens_details"]["reasoning_tokens"] == 40
assert "input_tokens_details" not in result["token_usage"]
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Frequently Asked Questions
What does test_combine_llm_outputs_with_missing_details() do?
test_combine_llm_outputs_with_missing_details() is a function in the langchain codebase, defined in libs/partners/groq/tests/unit_tests/test_chat_models.py.
Where is test_combine_llm_outputs_with_missing_details() defined?
test_combine_llm_outputs_with_missing_details() is defined in libs/partners/groq/tests/unit_tests/test_chat_models.py at line 913.
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