curl --request POST \
  --url https://ai.alad.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "qwen2.5-vl-32b-instruct",
  "messages": [
    {
      "role": "user",
      "content": [
        {
          "type": "image_url",
          "image_url": {
            "url": "https://example.com/image.jpg"
          }
        },
        {
          "type": "text",
          "text": "请描述这张图片。"
        }
      ]
    }
  ],
  "max_tokens": 8192,
  "temperature": 1,
  "stream": false
}
'

import requests

url = "https://ai.alad.com/v1/chat/completions"

payload = {
    "model": "qwen2.5-vl-32b-instruct",
    "messages": [
        {
            "role": "user",
            "content": [
                {
                    "type": "image_url",
                    "image_url": { "url": "https://example.com/image.jpg" }
                },
                {
                    "type": "text",
                    "text": "请描述这张图片。"
                }
            ]
        }
    ],
    "max_tokens": 8192,
    "temperature": 1,
    "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: 'qwen2.5-vl-32b-instruct',
    messages: [
      {
        role: 'user',
        content: [
          {type: 'image_url', image_url: {url: 'https://example.com/image.jpg'}},
          {type: 'text', text: '请描述这张图片。'}
        ]
      }
    ],
    max_tokens: 8192,
    temperature: 1,
    stream: false
  })
};

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

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://ai.alad.com/v1/chat/completions",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "POST",
  CURLOPT_POSTFIELDS => json_encode([
    'model' => 'qwen2.5-vl-32b-instruct',
    'messages' => [
        [
                'role' => 'user',
                'content' => [
                                [
                                                                'type' => 'image_url',
                                                                'image_url' => [
                                                                                                                                'url' => 'https://example.com/image.jpg'
                                                                ]
                                ],
                                [
                                                                'type' => 'text',
                                                                'text' => '请描述这张图片。'
                                ]
                ]
        ]
    ],
    'max_tokens' => 8192,
    'temperature' => 1,
    'stream' => false
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: Bearer <token>",
    "Content-Type: application/json"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://ai.alad.com/v1/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"qwen2.5-vl-32b-instruct\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.jpg\"\n          }\n        },\n        {\n          \"type\": \"text\",\n          \"text\": \"请描述这张图片。\"\n        }\n      ]\n    }\n  ],\n  \"max_tokens\": 8192,\n  \"temperature\": 1,\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))

}

HttpResponse<String> response = Unirest.post("https://ai.alad.com/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"qwen2.5-vl-32b-instruct\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.jpg\"\n          }\n        },\n        {\n          \"type\": \"text\",\n          \"text\": \"请描述这张图片。\"\n        }\n      ]\n    }\n  ],\n  \"max_tokens\": 8192,\n  \"temperature\": 1,\n  \"stream\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://ai.alad.com/v1/chat/completions")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"qwen2.5-vl-32b-instruct\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"image_url\",\n          \"image_url\": {\n            \"url\": \"https://example.com/image.jpg\"\n          }\n        },\n        {\n          \"type\": \"text\",\n          \"text\": \"请描述这张图片。\"\n        }\n      ]\n    }\n  ],\n  \"max_tokens\": 8192,\n  \"temperature\": 1,\n  \"stream\": false\n}"

response = http.request(request)
puts response.read_body

{
  "id": "<string>",
  "object": "chat.completion",
  "created": 123,
  "model": "<string>",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "<string>",
        "content": "<string>"
      },
      "finish_reason": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}

{
  "error": {
    "code": "<string>",
    "message": "<string>"
  }
}