盘古大模型 PANGULARGEMODELS-文本对话:响应示例
时间：2025-06-06 14:33:55
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响应示例
状态码： 200
OK
- 非流式问答响应
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{ "id": "4c0dcef2-7f8f-4c57-93c7-484c03b0a216", "object": "chat.completion", "created": 1741937420, "model": "pangu-nlp-n1-32k_kpyq10", "choices": [ { "index": 0, "message": { "role": "assistant", "content": "\n\n你好！很高兴见到你，有什么我可以帮忙的吗？", "reasoning_content": "嗯，用户发来“你好”，这是一个常见的中文问候。我要用中文回应用户，保持友好和亲切。首先要分析用户的需求，可能只是想打个招呼，或者有具体的问题想问。\n\n接下来要考虑用户可能的背景，可能来自不同的地方，但使用简体中文，所以可能是中国大陆的用户。需要保持回答的通用性，适合所有使用中文的人。\n\n还要判断是否有更深层次的需求，用户可能在测试聊天机器人，或者真的需要帮助。这时候需要给出一个开放式的回应，鼓励用户进一步说明需求。例如询问有什么可以帮忙的，这样既回应了问候，又引导用户提出具体问题。\n\n另外要注意语言的流畅和自然，避免过于机械化的回答。保持礼貌和专业，同时适当使用表情符号增加亲和力，比如用[微笑]或者之类的，不过可能根据平台的不同需要调整。\n\n最后要确保回答符合规范，不涉及敏感话题，内容积极健康。检查是否有拼写或语法错误，确保回复准确无误。\n", "tool_calls": [] }, "logprobs": null, "finish_reason": "stop", "stop_reason": null } ], "usage": { "prompt_tokens": 22, "total_tokens": 377, "completion_tokens": 355 }, "prompt_logprobs": null } - 流式问答响应
V1推理接口返回体： data:{"id":"chat-59170add0fd1427bbca0388431058d45","object":"chat.completion.chunk","created":1745725837,"model":"pangu-nlp-n1-32k_kpyq10","choices":[{"index":0,"logprobs":null,"finish_reason":null,"message":{"role":"assistant"}}],"usage":{"prompt_tokens":64,"total_tokens":64,"completion_tokens":0}} data:{"id":"chat-59170add0fd1427bbca0388431058d45","object":"chat.completion.chunk","created":1745725837,"model":"pangu-nlp-n1-32k_kpyq10","choices":[{"index":0,"logprobs":null,"finish_reason":null,"message":{"content":"你好"}}],"usage":{"prompt_tokens":64,"total_tokens":65,"completion_tokens":1}} data:{"id":"chat-59170add0fd1427bbca0388431058d45","object":"chat.completion.chunk","created":1745725837,"model":"pangu-nlp-n1-32k_kpyq10","choices":[{"index":0,"logprobs":null,"finish_reason":"stop","stop_reason":null,"message":{"content":"！有什么我可以帮你的吗？"}}],"usage":{"prompt_tokens":64,"total_tokens":73,"completion_tokens":9}} data:{"id":"chat-59170add0fd1427bbca0388431058d45","object":"chat.completion.chunk","created":1745725837,"model":"pangu-nlp-n1-32k_kpyq10","choices":[],"usage":{"prompt_tokens":64,"total_tokens":73,"completion_tokens":9}} event:{"usage":{"completionTokens":9,"promptTokens":64,"totalTokens":73},"tokens":64,"token_number":9} data:[DONE]V2推理接口返回体： data:{"id":"chat-b9417f06b6524362ae09844cc9b0172d","object":"chat.completion.chunk","created":1745725924,"model":"pangu-nlp-n1-32k_kpyq10","choices":[{"index":0,"delta":{"role":"assistant"},"logprobs":null,"finish_reason":null}],"usage":{"prompt_tokens":64,"total_tokens":64,"completion_tokens":0}} data:{"id":"chat-b9417f06b6524362ae09844cc9b0172d","object":"chat.completion.chunk","created":1745725924,"model":"pangu-nlp-n1-32k_kpyq10","choices":[{"index":0,"delta":{"content":"你好"},"logprobs":null,"finish_reason":null}],"usage":{"prompt_tokens":64,"total_tokens":65,"completion_tokens":1}} data:{"id":"chat-b9417f06b6524362ae09844cc9b0172d","object":"chat.completion.chunk","created":1745725924,"model":"pangu-nlp-n1-32k_kpyq10","choices":[{"index":0,"delta":{"content":"！有什么我可以帮助你的吗？"},"logprobs":null,"finish_reason":"stop","stop_reason":null}],"usage":{"prompt_tokens":64,"total_tokens":73,"completion_tokens":9}} data:{"id":"chat-b9417f06b6524362ae09844cc9b0172d","object":"chat.completion.chunk","created":1745725924,"model":"pangu-nlp-n1-32k_kpyq10","choices":[],"usage":{"prompt_tokens":64,"total_tokens":73,"completion_tokens":9}} data:[DONE] - 带有思维链的流式问答响应
V1推理接口返回体： data:{"id":"chat-cfc9f0e8404540af97aa97bfc5c5090f","object":"chat.completion.chunk","created":1747364482,"model":"pangu-nlp-n2-reasoner-32k","choices":[{"index":0,"message":{"role":"assistant"},"logprobs":null,"finish_reason":null}],"usage":{"prompt_tokens":23,"total_tokens":23,"completion_tokens":0}} data:{"id": "chat-cfc9f0e8404540af97aa97bfc5c5090f", "object": "chat.completion.chunk", "created": 1747364482, "model": "pangu-nlp-n2-reasoner-32k", "choices": [{"index": 0, "message": {"reasoning_content": ""}, "logprobs": null, "finish_reason": null}], "usage": {"prompt_tokens": 23, "total_tokens": 24, "completion_tokens": 1}} data:{"id": "chat-cfc9f0e8404540af97aa97bfc5c5090f", "object": "chat.completion.chunk", "created": 1747364482, "model": "pangu-nlp-n2-reasoner-32k", "choices": [{"index": 0, "message": {"reasoning_content": ""}, "logprobs": null, "finish_reason": null}], "usage": {"prompt_tokens": 23, "total_tokens": 25, "completion_tokens": 2}} data:{"id": 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