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@ -1761,12 +1761,6 @@ def _make_message_chunk_from_anthropic_event(
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# See https://github.com/anthropics/anthropic-sdk-python/blob/main/src/anthropic/lib/streaming/_messages.py # noqa: E501
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if event.type == "message_start" and stream_usage:
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usage_metadata = _create_usage_metadata(event.message.usage)
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# We pick up a cumulative count of output_tokens at the end of the stream,
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# so here we zero out to avoid double counting.
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usage_metadata["total_tokens"] = (
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usage_metadata["total_tokens"] - usage_metadata["output_tokens"]
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)
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usage_metadata["output_tokens"] = 0
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if hasattr(event.message, "model"):
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response_metadata = {"model_name": event.message.model}
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else:
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@ -1840,11 +1834,7 @@ def _make_message_chunk_from_anthropic_event(
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tool_call_chunks=[tool_call_chunk], # type: ignore
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)
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elif event.type == "message_delta" and stream_usage:
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usage_metadata = UsageMetadata(
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input_tokens=0,
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output_tokens=event.usage.output_tokens,
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total_tokens=event.usage.output_tokens,
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)
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usage_metadata = _create_usage_metadata(event.usage)
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message_chunk = AIMessageChunk(
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content="",
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usage_metadata=usage_metadata,
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@ -46,7 +46,7 @@ def test_stream() -> None:
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if token.usage_metadata is not None:
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if token.usage_metadata.get("input_tokens"):
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chunks_with_input_token_counts += 1
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if token.usage_metadata.get("output_tokens"):
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elif token.usage_metadata.get("output_tokens"):
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chunks_with_output_token_counts += 1
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chunks_with_model_name += int("model_name" in token.response_metadata)
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if chunks_with_input_token_counts != 1 or chunks_with_output_token_counts != 1:
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@ -85,7 +85,7 @@ async def test_astream() -> None:
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if token.usage_metadata is not None:
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if token.usage_metadata.get("input_tokens"):
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chunks_with_input_token_counts += 1
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if token.usage_metadata.get("output_tokens"):
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elif token.usage_metadata.get("output_tokens"):
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chunks_with_output_token_counts += 1
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if chunks_with_input_token_counts != 1 or chunks_with_output_token_counts != 1:
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raise AssertionError(
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@ -134,9 +134,6 @@ async def test_stream_usage() -> None:
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async for token in model.astream("hi"):
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assert isinstance(token, AIMessageChunk)
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assert token.usage_metadata is None
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async def test_stream_usage_override() -> None:
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# check we override with kwarg
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model = ChatAnthropic(model_name=MODEL_NAME) # type: ignore[call-arg]
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assert model.stream_usage
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