冰橙GPT chatGPT开放API接口使用说明 【接入腾讯云内容安全检测，长期稳定，故障1小时内响应】

• 冰橙GPT chatGPT开放接口使用说明 【接入了腾讯云内容安全检测】

• openai chatgpt国内接口 https://bingchengapi.apifox.cn/

  冰橙GPT稳定提供API接口服务

  定时有人进行问题排查处理

  1小时内问题响应

  接入了腾讯云的内容安全检测

  有任何疑问请加入QQ交流群：310872519                    

   

  ---

  1.请求地址：https://yewu.bcwhkj.cn/api/v2.Gptliu/search   

  2.请求方式: POST  

  3.body格式：json

  4.请求内容（sse 流式请求，输出效果较好，响应速度快）（非流式请求，可不加stream这一行）：

  {
         "messages" : [{"role":"user","content":"你是谁?"}],
         "model": "gpt-3.5-turbo",
         "stream":true //非SSE流式请求，这一行可不加
  }
  

  　　

  5.请求头

  {
      "Content-Type": application/json,
      "Authorization": "Bearer 这段中文换成你自己的TOKEN（注意前面有个英文空格需保留）"
  }

   

   

  说明：

  token获取方式：访问公众号《冰橙文化科技》进入菜单冰橙GPT后，访问右上角 / 个人（首次访问免费赠送10000字符，可通过充值增加字符数）可查看 token

   

  SSE流式请求与非流式请求的区别：
      流式POST请求：内容将进行逐家响应和返回，响应速度快。
      普通POST请求：将等待OPENAI的CHATGPT官方接口全部内容都响应完成后，服务器这边才会将内容将通过接口回复给前端，速度较慢。

  
  也可通过微信扫以下图片进入：

  

   

  5.响应体格式：json

  6.响应内容（非流式请求时的响应内容）：

  {
      "id": "chatcmpl-77dQj73rIl0GJyTpAH4QlcSnhOFKp",
      "object": "chat.completion",
      "created": 1682054221,
      "model": "gpt-3.5-turbo-0301",
      "usage": {
          "prompt_tokens": 13,
          "completion_tokens": 30,
          "total_tokens": 43
      },
      "choices": [
          {
              "message": {
                  "role": "assistant",
                  "content": "我是一个人工智能语言模型，可以根据用户提供的输入进行回答和交流。"
              },
              "finish_reason": "stop",
              "index": 0
          }
      ]
  }

   

   

  6.响应内容（流式请求时的响应内容）：

  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"role":"assistant"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"我"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"是"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"一个"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"AI"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"语"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"言"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"模"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"型"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"，"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"专"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"门"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"用"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"来"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"回"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"答"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"问题"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"和"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"提"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"供"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"帮"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"助"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"的"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{"content":"。"},"index":0,"finish_reason":null}]}
  
  data: {"id":"chatcmpl-783jPdq1a1ZG6KQc9pq98FDRSqNmp","object":"chat.completion.chunk","created":1682155323,"model":"gpt-3.5-turbo-0301","choices":[{"delta":{},"index":0,"finish_reason":"stop"}]}
  
  data: [DONE]

   

   

   

  

   

   

   

  特别说明【连续对话功能】：

  如果需要有上下文语境，请把之前问的问题和答案一起通过Q参数传过来，其中问题和答案前面分别加上“ Q:” 和 “ A:”参数 ，Q和A前面有空格，举例：

  Q = "你好！"
  
  A : 你好，有什么可以帮助你的。
  
  Q: "今天天气怎么样？"
  
  那么第二次提交带上之前的问题和答案，请求体里面的Q就是：
  
  keyword = " Q:你好！ A:你好，有什么可以帮助你的。 Q:今天天气怎么样？"
  
  JS方法如下：
  
  keyword='';                
  that.list={ 　　
      wen:'老婆和妈妈同时掉水里，我要先救谁？', 　　
      da:'这种情况下，是理所当然应该先救妈妈的。救人的原则是先救生命危险的人，有可能先救老婆，这取决于老婆和妈妈的实际情况，而且也要考虑到逃生的可能性。假如老婆游泳能力很强，可能先救老婆，能在短时间内将她救出水面，否则，先救妈妈也是明智之举。 '
  };        
  
  //新问题
  newQ:'我不同意？';        
  
  //将之前的所有问答列表进行循环
  that.list.forEach((v,k)=>{　　
      //将问和答案组合，<|endoftext|>是用于给OPENAI官方接口进行分段识别的　　
      keyword=keyword+' Q: '+v.wen + ' A: '+v.da+'。 <|endoftext|> ';
  })        
  
  //将新的问题组合　　        
  keyword=keyword+'Q: '+newQ + 'A: ';

   

   

  这样获取的答案就是支持上下文语境了哈～