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N 多候选测试

N Test

POST https://api.quickrouter.ai/v1/chat/completions 在线调试 →
Authorization

在 Header 添加参数 Authorization,其值为 Bearer 之后拼接 Token

示例: Authorization: Bearer ********************

请求参数

Header 参数
Content-Type string
必需
示例: application/json
Authorization string
必需
示例: Bearer $OPENAI_API_KEY
Body 参数 application/json
model string
必需
要使用的模型的 ID,如 gpt-4o。
messages array [object]
必需
至今为止对话所包含的消息列表。
n integer
可选
为每个输入消息生成多少个聊天补全选择,默认为 1。
temperature number
可选
使用什么采样温度,介于 0 和 2 之间。
max_tokens integer
可选
生成的最大标记数。
stream boolean
可选
设置为 true 启用流式输出。
示例
{
    "stream": false,
    "messages": [
        {
            "role": "user",
            "content": "who are u?"
        }
    ],
    "n": 3,
    "max_tokens": 100,
    "temperature": 0.8,
    "model": "gpt-4o"
}

请求示例代码

curl --location --request POST 'https://api.quickrouter.ai/v1/chat/completions' \
--header 'Authorization: Bearer <token>' \
--header 'Content-Type: application/json' \
--data-raw '{
    "stream": false,
    "messages": [
        {
            "role": "user",
            "content": "who are u?"
        }
    ],
    "n": 3,
    "max_tokens": 100,
    "temperature": 0.8,
    "model": "gpt-4o"
}'
var myHeaders = new Headers();
myHeaders.append("Authorization", "Bearer <token>");
myHeaders.append("Content-Type", "application/json");

var raw = JSON.stringify({
   "stream": false,
   "messages": [
      {
         "role": "user",
         "content": "who are u?"
      }
   ],
   "n": 3,
   "max_tokens": 100,
   "temperature": 0.8,
   "model": "gpt-4o"
});

var requestOptions = {
   method: 'POST',
   headers: myHeaders,
   body: raw,
   redirect: 'follow'
};

fetch("https://api.quickrouter.ai/v1/chat/completions", requestOptions)
   .then(response => response.text())
   .then(result => console.log(result))
   .catch(error => console.log('error', error));
import http.client
import json

conn = http.client.HTTPSConnection("api.quickrouter.ai")
payload = json.dumps({
   "stream": False,
   "messages": [
      {
         "role": "user",
         "content": "who are u?"
      }
   ],
   "n": 3,
   "max_tokens": 100,
   "temperature": 0.8,
   "model": "gpt-4o"
})
headers = {
   'Authorization': 'Bearer <token>',
   'Content-Type': 'application/json'
}
conn.request("POST", "/v1/chat/completions", payload, headers)
res = conn.getresponse()
data = res.read()
print(data.decode("utf-8"))

返回响应

响应参数 🟢 200 OK · application/json
id string
必需
object string
必需
choices array [object]
必需
usage object
必需
示例
{
    "id": "chatcmpl-123",
    "object": "chat.completion",
    "created": 1677652288,
    "model": "gpt-4o",
    "choices": [
        {
            "index": 0,
            "message": {
                "role": "assistant",
                "content": "\n\nHello there, how may I assist you today?"
            },
            "finish_reason": "stop"
        },
        {
            "index": 1,
            "message": {
                "role": "assistant",
                "content": "\n\nHi! I'm an AI assistant."
            },
            "finish_reason": "stop"
        },
        {
            "index": 2,
            "message": {
                "role": "assistant",
                "content": "\n\nHey there! How can I help?"
            },
            "finish_reason": "stop"
        }
    ],
    "usage": {
        "prompt_tokens": 9,
        "completion_tokens": 36,
        "total_tokens": 45
    }
}