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partners/mistralai: Fix KeyError in Vertex AI stream (#28624)
- **Description:** Streaming response from Mistral model using Vertex AI raises KeyError when trying to access `choices` key, that the last chunk doesn't have. The fix is to access the key safely using `get()`. - **Issue:** https://github.com/langchain-ai/langchain/issues/27886 - **Dependencies:** - **Twitter handle:**
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@ -595,7 +595,7 @@ class ChatMistralAI(BaseChatModel):
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for chunk in self.completion_with_retry(
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for chunk in self.completion_with_retry(
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messages=message_dicts, run_manager=run_manager, **params
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messages=message_dicts, run_manager=run_manager, **params
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):
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):
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if len(chunk["choices"]) == 0:
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if len(chunk.get("choices", [])) == 0:
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continue
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continue
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new_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
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new_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
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# make future chunks same type as first chunk
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# make future chunks same type as first chunk
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@ -621,7 +621,7 @@ class ChatMistralAI(BaseChatModel):
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async for chunk in await acompletion_with_retry(
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async for chunk in await acompletion_with_retry(
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self, messages=message_dicts, run_manager=run_manager, **params
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self, messages=message_dicts, run_manager=run_manager, **params
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):
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):
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if len(chunk["choices"]) == 0:
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if len(chunk.get("choices", [])) == 0:
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continue
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continue
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new_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
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new_chunk = _convert_chunk_to_message_chunk(chunk, default_chunk_class)
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# make future chunks same type as first chunk
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# make future chunks same type as first chunk
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