Reasoning Model (deepseek-reasoner)
deepseek-reasoner is a reasoning model developed by DeepSeek. Before delivering the final answer, the model first generates a Chain of Thought (CoT) to enhance the accuracy of its responses. Our API provides users with access to the CoT content generated by deepseek-reasoner, enabling them to view, display, and distill it.deepseek-reasoner, please upgrade the OpenAI SDK first to support the new parameters.API Parameters
max_tokens：The maximum length of the final response after the CoT output is completed, defaulting to 4K, with a maximum of 8K. Note that the CoT output can reach up to 32K tokens, and the parameter to control the CoT length (reasoning_effort) will be available soon.reasoning_content：The content of the CoT，which is at the same level as content in the output structure. See API Example for detailscontentThe content of the final answerreasoning_content is not counted within the 64K context length.temperature、top_p、presence_penalty、frequency_penalty、logprobs、top_logprobs. Please note that to ensure compatibility with existing software, setting temperature、top_p、presence_penalty、frequency_penalty will not trigger an error but will also have no effect. Setting logprobs、top_logprobs will trigger an error.Multi-round Conversation
reasoning_content) and the final answer (content). In the next round of the conversation, the CoT from previous rounds is not concatenated into the context, as illustrated in the following diagram:
reasoning_content field is included in the sequence of input messages, the API will return a 400 error. Therefore, you should remove the reasoning_content field from the API response before making the API request, as demonstrated in the API example.API Example
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