curl --request POST \
  --url https://xxx.wengaocloud.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-4o-mini",
  "messages": [
    {
      "role": "system",
      "content": "你是一个简洁的产品助手。"
    },
    {
      "role": "user",
      "content": "用三句话介绍这个平台。"
    }
  ]
}
'

import requests

url = "https://xxx.wengaocloud.com/v1/chat/completions"

payload = {
    "model": "gpt-4o-mini",
    "messages": [
        {
            "role": "system",
            "content": "你是一个简洁的产品助手。"
        },
        {
            "role": "user",
            "content": "用三句话介绍这个平台。"
        }
    ]
}
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-4o-mini',
    messages: [
      {role: 'system', content: '你是一个简洁的产品助手。'},
      {role: 'user', content: '用三句话介绍这个平台。'}
    ]
  })
};

fetch('https://xxx.wengaocloud.com/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://xxx.wengaocloud.com/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"gpt-4o-mini\",\n  \"messages\": [\n    {\n      \"role\": \"system\",\n      \"content\": \"你是一个简洁的产品助手。\"\n    },\n    {\n      \"role\": \"user\",\n      \"content\": \"用三句话介绍这个平台。\"\n    }\n  ]\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": "<string>",
  "object": "chat.completion",
  "choices": [
    {}
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "prompt_tokens_details": {}
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "model_endpoint_mismatch",
    "message": "该模型不支持当前 endpoint。"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "model_endpoint_mismatch",
    "message": "该模型不支持当前 endpoint。"
  }
}

{
  "error": {
    "type": "invalid_request_error",
    "code": "model_endpoint_mismatch",
    "message": "该模型不支持当前 endpoint。"
  }
}