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Fix message handling in deepseek-reasoner
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).
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README.md
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README.md
@ -206,17 +206,49 @@ python3 -m sglang.launch_server --model deepseek-ai/DeepSeek-R1-Distill-Qwen-32B
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3. For mathematical problems, it is advisable to include a directive in your prompt such as: "put your final answer within \boxed{}".
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3. For mathematical problems, it is advisable to include a directive in your prompt such as: "put your final answer within \boxed{}".
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4. When evaluating model performance, it is recommended to conduct multiple tests and average the results.
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4. When evaluating model performance, it is recommended to conduct multiple tests and average the results.
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## 7. License
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## 7. Message Handling Capability
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DeepSeek-R1 now supports successive user or assistant messages without causing an `invalid_request_error`. The message handling logic has been modified to allow successive messages of the same role. Here are some examples of how to format messages with successive user or assistant messages:
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### Example 1: Interleaved Messages
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```json
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[
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{"role": "user", "content": "Hello!"},
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{"role": "assistant", "content": "Hi! How can I help?"},
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{"role": "user", "content": "Tell me about DeepSeek R1."}
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]
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```
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### Example 2: Successive User Messages
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```json
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[
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{"role": "user", "content": "Hello!"},
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{"role": "user", "content": "Tell me about DeepSeek R1."}
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]
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```
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### Example 3: Successive Assistant Messages
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```json
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[
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{"role": "assistant", "content": "Hello!"},
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{"role": "assistant", "content": "How can I assist you today?"}
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]
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```
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## 8. License
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This code repository and the model weights are licensed under the [MIT License](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE).
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This code repository and the model weights are licensed under the [MIT License](https://github.com/deepseek-ai/DeepSeek-R1/blob/main/LICENSE).
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DeepSeek-R1 series support commercial use, allow for any modifications and derivative works, including, but not limited to, distillation for training other LLMs. Please note that:
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DeepSeek-R1 series support commercial use, allow for any modifications and derivative works, including, but not limited to, distillation for training other LLMs. Please note that:
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- DeepSeek-R1-Distill-Qwen-1.5B, DeepSeek-R1-Distill-Qwen-7B, DeepSeek-R1-Distill-Qwen-14B and DeepSeek-R1-Distill-Qwen-32B are derived from [Qwen-2.5 series](https://github.com/QwenLM/Qwen2.5), which are originally licensed under [Apache 2.0 License](https://huggingface.co/Qwen/Qwen2.5-1.5B/blob/main/LICENSE), and now finetuned with 800k samples curated with DeepSeek-R1.
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- DeepSeek-R1-Distill-Qwen-1.5B, DeepSeek-R1-Distill-Qwen-7B, DeepSeek-R1-Distill-Qwen-14B and DeepSeek-R1-Distill-Qwen-32B are derived from [Qwen-2.5 series](https://github.com/QwenLM/Qwen2.5), which are originally licensed under [Apache 2.0 License](https://huggingface.co/Qwen/Qwen2.5-1.5B/blob/main/LICENSE), and now finetuned with 800k samples curated with DeepSeek-R1.
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- DeepSeek-R1-Distill-Llama-8B is derived from Llama3.1-8B-Base and is originally licensed under [llama3.1 license](https://huggingface.co/meta-llama/Llama-3.1-8B/blob/main/LICENSE).
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- DeepSeek-R1-Distill-Llama-8B is derived from Llama3.1-8B-Base and is originally licensed under [llama3.1 license](https://huggingface.co/meta-llama/Llama-3.1-8B/blob/main/LICENSE).
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- DeepSeek-R1-Distill-Llama-70B is derived from Llama3.3-70B-Instruct and is originally licensed under [llama3.3 license](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/blob/main/LICENSE).
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- DeepSeek-R1-Distill-Llama-70B is derived from Llama3.3-70B-Instruct and is originally licensed under [llama3.3 license](https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct/blob/main/LICENSE).
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## 8. Citation
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## 9. Citation
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```
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```
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```
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```
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## 9. Contact
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## 10. Contact
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If you have any questions, please raise an issue or contact us at [service@deepseek.com](service@deepseek.com).
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If you have any questions, please raise an issue or contact us at [service@deepseek.com](service@deepseek.com).
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51
deepseek_reasoner.py
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51
deepseek_reasoner.py
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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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46
test_deepseek_reasoner.py
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46
test_deepseek_reasoner.py
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import unittest
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from deepseek_reasoner import DeepSeekReasoner
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class TestDeepSeekReasoner(unittest.TestCase):
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def setUp(self):
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self.reasoner = DeepSeekReasoner()
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def test_interleaved_messages(self):
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request = {
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"messages": [
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{"role": "user", "content": "Hello!"},
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{"role": "assistant", "content": "Hi! How can I help?"},
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{"role": "user", "content": "Tell me about DeepSeek R1."}
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]
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}
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response = self.reasoner.handle_request(request)
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self.assertEqual(response["status"], "success")
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self.assertEqual(len(response["processed_messages"]), 3)
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def test_successive_user_messages(self):
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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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]
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}
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response = self.reasoner.handle_request(request)
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self.assertEqual(response["status"], "success")
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self.assertEqual(len(response["processed_messages"]), 1)
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self.assertEqual(response["processed_messages"][0]["content"], "Hello! Tell me about DeepSeek R1.")
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def test_successive_assistant_messages(self):
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request = {
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"messages": [
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{"role": "assistant", "content": "Hello!"},
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{"role": "assistant", "content": "How can I assist you today?"}
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]
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}
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response = self.reasoner.handle_request(request)
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self.assertEqual(response["status"], "success")
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self.assertEqual(len(response["processed_messages"]), 1)
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self.assertEqual(response["processed_messages"][0]["content"], "Hello! How can I assist you today?")
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if __name__ == "__main__":
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unittest.main()
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