POST
/
v1
/
chat
/
completions
创建聊天补全
curl --request POST \
  --url https://suanwuyou.com.cn/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5.5",
  "messages": [
    {
      "role": "user",
      "content": "帮我生成一段使用 Go 语言定制的团购逻辑"
    }
  ],
  "reasoning_effort": "high",
  "max_tokens": 500,
  "stream": false
}
'
import requests

url = "https://suanwuyou.com.cn/v1/chat/completions"

payload = {
    "model": "gpt-5.5",
    "messages": [
        {
            "role": "user",
            "content": "帮我生成一段使用 Go 语言定制的团购逻辑"
        }
    ],
    "reasoning_effort": "high",
    "max_tokens": 500,
    "stream": False
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-5.5',
    messages: [{role: 'user', content: '帮我生成一段使用 Go 语言定制的团购逻辑'}],
    reasoning_effort: 'high',
    max_tokens: 500,
    stream: false
  })
};

fetch('https://suanwuyou.com.cn/v1/chat/completions', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://suanwuyou.com.cn/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5.5\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"帮我生成一段使用 Go 语言定制的团购逻辑\"\n    }\n  ],\n  \"reasoning_effort\": \"high\",\n  \"max_tokens\": 500,\n  \"stream\": false\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}
{
  "id": "chatcmpl-example",
  "object": "chat.completion",
  "created": 1784246400,
  "model": "gpt-5.5",
  "choices": [
    {
      "index": 0,
      "message": {
        "role": "assistant",
        "content": "下面给出一个使用 Go 实现的团购核心逻辑示例。"
      },
      "finish_reason": "stop"
    }
  ],
  "usage": {
    "prompt_tokens": 14,
    "completion_tokens": 20,
    "total_tokens": 34
  }
}
{
  "error": {
    "message": "请求参数不正确",
    "type": "invalid_request_error",
    "code": "invalid_parameter"
  }
}
{
  "error": {
    "message": "invalid api key",
    "type": "invalid_request_error",
    "code": "unauthorized"
  }
}
页面右侧代码会随输入参数同步更新，并支持复制。鉴权处填写算无忧控制台生成的令牌，不要填写模型厂商官方 Key。
reasoning_effort 和 max_tokens 属于模型相关扩展参数，并非所有模型都支持。当前示例不传递 thinking，并使用非流式响应，即 stream: false。

Authorizations

​
Authorization
string
header
default:Bearer sk-请输入算无忧令牌
required

填写完整的 Bearer 鉴权值，例如 Bearer sk-你的算无忧令牌。

Body

application/json
​
model
string
required

控制台或模型列表接口返回的模型名。

Example:

"gpt-5.5"

​
messages
object[]
required
Minimum array length: 1
Example:
[{ "role": "user", "content": "你好" }]
​
stream
boolean
default:false

是否使用流式响应。

​
temperature
number

随机程度；具体支持范围由模型决定。

Required range: 0 <= x <= 2
​
max_tokens
integer

最大输出 token；具体是否支持由模型决定。

Required range: x >= 1
​
thinking
object

模型支持时启用思考模式。

​
reasoning_effort
enum<string>

模型支持时设置推理强度。

Available options:
low,
medium,
high

Response

模型回复。

​
id
string
​
object
string
​
created
integer
​
model
string
​
choices
object[]
​
usage
object