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@ -21,36 +21,8 @@ async def test_astream() -> None:
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"""Test streaming tokens from Anthropic."""
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llm = ChatAnthropicMessages(model_name=MODEL_NAME) # type: ignore[call-arg, call-arg]
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full: Optional[BaseMessageChunk] = None
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chunks_with_input_token_counts = 0
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chunks_with_output_token_counts = 0
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async for token in llm.astream("I'm Pickle Rick"):
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assert isinstance(token.content, str)
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full = token if full is None else full + token
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assert isinstance(token, AIMessageChunk)
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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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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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"Expected exactly one chunk with input or output token counts. "
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"AIMessageChunk aggregation adds counts. Check that "
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"this is behaving properly."
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)
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# check token usage is populated
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assert isinstance(full, AIMessageChunk)
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assert full.usage_metadata is not None
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assert full.usage_metadata["input_tokens"] > 0
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assert full.usage_metadata["output_tokens"] > 0
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assert full.usage_metadata["total_tokens"] > 0
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assert (
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full.usage_metadata["input_tokens"] + full.usage_metadata["output_tokens"]
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== full.usage_metadata["total_tokens"]
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)
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assert "stop_reason" in full.response_metadata
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assert "stop_sequence" in full.response_metadata
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pass
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# Check expected raw API output
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async_client = llm._async_client
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@ -62,16 +34,7 @@ async def test_astream() -> None:
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}
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stream = await async_client.messages.create(**params, stream=True)
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async for event in stream:
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if event.type == "message_start":
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assert event.message.usage.input_tokens > 1
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# Note: this single output token included in message start event
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# does not appear to contribute to overall output token counts. It
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# is excluded from the total token count.
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assert event.message.usage.output_tokens == 1
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elif event.type == "message_delta":
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assert event.usage.output_tokens > 1
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else:
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pass
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pass
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async def test_stream_usage() -> None:
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