curl --request POST \
  --url https://ai.alad.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "doubao-seed-1-6-251015",
  "input": [
    {
      "role": "user",
      "content": [
        {
          "type": "input_image",
          "image_url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png"
        },
        {
          "type": "input_text",
          "text": "图片里有什么？"
        }
      ]
    }
  ],
  "stream": false,
  "temperature": 1,
  "top_p": 0.5,
  "max_output_tokens": 2,
  "reasoning": {}
}
'

import requests

url = "https://ai.alad.com/v1/responses"

payload = {
    "model": "doubao-seed-1-6-251015",
    "input": [
        {
            "role": "user",
            "content": [
                {
                    "type": "input_image",
                    "image_url": "https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png"
                },
                {
                    "type": "input_text",
                    "text": "图片里有什么？"
                }
            ]
        }
    ],
    "stream": False,
    "temperature": 1,
    "top_p": 0.5,
    "max_output_tokens": 2,
    "reasoning": {}
}
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: 'doubao-seed-1-6-251015',
    input: [
      {
        role: 'user',
        content: [
          {
            type: 'input_image',
            image_url: 'https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png'
          },
          {type: 'input_text', text: '图片里有什么？'}
        ]
      }
    ],
    stream: false,
    temperature: 1,
    top_p: 0.5,
    max_output_tokens: 2,
    reasoning: {}
  })
};

fetch('https://ai.alad.com/v1/responses', 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/responses",
  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' => 'doubao-seed-1-6-251015',
    'input' => [
        [
                'role' => 'user',
                'content' => [
                                [
                                                                'type' => 'input_image',
                                                                'image_url' => 'https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png'
                                ],
                                [
                                                                'type' => 'input_text',
                                                                'text' => '图片里有什么？'
                                ]
                ]
        ]
    ],
    'stream' => false,
    'temperature' => 1,
    'top_p' => 0.5,
    'max_output_tokens' => 2,
    'reasoning' => [
        
    ]
  ]),
  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/responses"

	payload := strings.NewReader("{\n  \"model\": \"doubao-seed-1-6-251015\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"input_image\",\n          \"image_url\": \"https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png\"\n        },\n        {\n          \"type\": \"input_text\",\n          \"text\": \"图片里有什么？\"\n        }\n      ]\n    }\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"max_output_tokens\": 2,\n  \"reasoning\": {}\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/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"doubao-seed-1-6-251015\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"input_image\",\n          \"image_url\": \"https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png\"\n        },\n        {\n          \"type\": \"input_text\",\n          \"text\": \"图片里有什么？\"\n        }\n      ]\n    }\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"max_output_tokens\": 2,\n  \"reasoning\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

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

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\": \"doubao-seed-1-6-251015\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"input_image\",\n          \"image_url\": \"https://ark-project.tos-cn-beijing.volces.com/doc_image/ark_demo_img_1.png\"\n        },\n        {\n          \"type\": \"input_text\",\n          \"text\": \"图片里有什么？\"\n        }\n      ]\n    }\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"max_output_tokens\": 2,\n  \"reasoning\": {}\n}"

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

{
  "id": "resp_021774236829912",
  "object": "response",
  "created_at": 123,
  "completed_at": 123,
  "model": "doubao-seed-1-6-251015",
  "status": "completed",
  "output": [
    {
      "type": "message",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "图片里有3个模型：Doubao-Seed-1.8、DeepSeek-V3.2、GLM-4.7。"
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 1355,
    "output_tokens": 87,
    "total_tokens": 1442,
    "output_tokens_details": {
      "reasoning_tokens": 53
    }
  }
}