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https://github.com/deepseek-ai/DeepSeek-R1.git
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837e17f55c
Fixes #21 Add support for successive user or assistant messages in `deepseek-reasoner`. * **deepseek_reasoner.py**: - Modify the message handling logic to allow successive messages of the same role. - Add a check to merge successive messages of the same role into a single message. - Update the `process_messages` function to handle the new message format. * **README.md**: - Add a section explaining the new message handling capability. - Provide examples of how to format messages with successive user or assistant messages. * **test_deepseek_reasoner.py**: - Add tests to ensure the model correctly processes successive user or assistant messages. - Include test cases for both interleaved and successive messages. --- For more details, open the [Copilot Workspace session](https://copilot-workspace.githubnext.com/deepseek-ai/DeepSeek-R1/issues/21?shareId=XXXX-XXXX-XXXX-XXXX).
52 lines
1.8 KiB
Python
52 lines
1.8 KiB
Python
import json
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class DeepSeekReasoner:
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def __init__(self):
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pass
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def process_messages(self, messages):
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"""
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Process the input messages to ensure they follow the required format.
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"""
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if not messages:
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raise ValueError("Messages cannot be empty")
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# Merge successive messages of the same role
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merged_messages = []
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for message in messages:
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if merged_messages and merged_messages[-1]['role'] == message['role']:
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merged_messages[-1]['content'] += " " + message['content']
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else:
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merged_messages.append(message)
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# Ensure interleaved user and assistant messages
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for i in range(1, len(merged_messages)):
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if merged_messages[i]['role'] == merged_messages[i-1]['role']:
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raise ValueError("Messages must be interleaved between user and assistant")
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return merged_messages
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def handle_request(self, request):
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"""
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Handle the incoming request and process the messages.
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"""
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try:
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messages = request.get('messages', [])
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processed_messages = self.process_messages(messages)
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return {"status": "success", "processed_messages": processed_messages}
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except Exception as e:
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return {"status": "error", "message": str(e)}
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# Example usage
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if __name__ == "__main__":
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reasoner = DeepSeekReasoner()
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request = {
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"messages": [
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{"role": "user", "content": "Hello!"},
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{"role": "user", "content": "Tell me about DeepSeek R1."},
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{"role": "assistant", "content": "DeepSeek R1 is a reasoning model."}
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]
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}
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response = reasoner.handle_request(request)
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print(json.dumps(response, indent=2))
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