test_add_ai_message_chunks_usage() — langchain Function Reference
Architecture documentation for the test_add_ai_message_chunks_usage() function in test_ai.py from the langchain codebase.
Entity Profile
Dependency Diagram
graph TD 202bf1f5_6c7c_3591_d57e_9a4ca1812416["test_add_ai_message_chunks_usage()"] f148f3ce_73bd_627d_a979_33d23ebac843["test_ai.py"] 202bf1f5_6c7c_3591_d57e_9a4ca1812416 -->|defined in| f148f3ce_73bd_627d_a979_33d23ebac843 style 202bf1f5_6c7c_3591_d57e_9a4ca1812416 fill:#6366f1,stroke:#818cf8,color:#fff
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Source Code
libs/core/tests/unit_tests/messages/test_ai.py lines 171–201
def test_add_ai_message_chunks_usage() -> None:
chunks = [
AIMessageChunk(content="", usage_metadata=None),
AIMessageChunk(
content="",
usage_metadata=UsageMetadata(
input_tokens=2, output_tokens=3, total_tokens=5
),
),
AIMessageChunk(
content="",
usage_metadata=UsageMetadata(
input_tokens=2,
output_tokens=3,
total_tokens=5,
input_token_details=InputTokenDetails(audio=1, cache_read=1),
output_token_details=OutputTokenDetails(audio=1, reasoning=2),
),
),
]
combined = add_ai_message_chunks(*chunks)
assert combined == AIMessageChunk(
content="",
usage_metadata=UsageMetadata(
input_tokens=4,
output_tokens=6,
total_tokens=10,
input_token_details=InputTokenDetails(audio=1, cache_read=1),
output_token_details=OutputTokenDetails(audio=1, reasoning=2),
),
)
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Frequently Asked Questions
What does test_add_ai_message_chunks_usage() do?
test_add_ai_message_chunks_usage() is a function in the langchain codebase, defined in libs/core/tests/unit_tests/messages/test_ai.py.
Where is test_add_ai_message_chunks_usage() defined?
test_add_ai_message_chunks_usage() is defined in libs/core/tests/unit_tests/messages/test_ai.py at line 171.
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