curl --request POST \
  --url https://api.mixroute.ai/v1/responses \
  --header 'Authorization: Bearer sk-xxxxxxxxxx' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-5.5",
    "max_output_tokens": 2048,
    "input": [
      {"role": "user", "content": "請用中文簡要介紹人工智慧"}
    ]
  }'

from openai import OpenAI

client = OpenAI(
    api_key="sk-xxxxxxxxxx",
    base_url="https://api.mixroute.ai/v1"
)

response = client.responses.create(
    model="gpt-5.5",
    max_output_tokens=2048,
    input=[
        {"role": "user", "content": "請用中文簡要介紹人工智慧"}
    ]
)
print(response.output[0].content[0].text)

const OpenAI = require('openai');

const client = new OpenAI({
  apiKey: 'sk-xxxxxxxxxx',
  baseURL: 'https://api.mixroute.ai/v1'
});

const response = await client.responses.create({
  model: 'gpt-5.5',
  max_output_tokens: 2048,
  input: [
    { role: 'user', content: '請用中文簡要介紹人工智慧' }
  ]
});
console.log(response.output[0].content[0].text);

<?php
$client = new GuzzleHttp\Client();
$response = $client->post('https://api.mixroute.ai/v1/responses', [
    'headers' => [
        'Authorization' => 'Bearer sk-xxxxxxxxxx',
        'Content-Type' => 'application/json',
    ],
    'json' => [
        'model' => 'gpt-5.5',
        'max_output_tokens' => 2048,
        'input' => [
            ['role' => 'user', 'content' => '請用中文簡要介紹人工智慧']
        ]
    ]
]);
echo $response->getBody();

package main

import (
    "bytes"
    "encoding/json"
    "net/http"
)

func main() {
    payload := map[string]interface{}{
        "model": "gpt-5.5",
        "max_output_tokens": 2048,
        "input": []map[string]string{
            {"role": "user", "content": "請用中文簡要介紹人工智慧"},
        },
    }
    body, _ := json.Marshal(payload)
    req, _ := http.NewRequest("POST", "https://api.mixroute.ai/v1/responses", bytes.NewBuffer(body))
    req.Header.Set("Authorization", "Bearer sk-xxxxxxxxxx")
    req.Header.Set("Content-Type", "application/json")
    http.DefaultClient.Do(req)
}

import java.net.http.*;
import java.net.URI;

HttpClient client = HttpClient.newHttpClient();
String json = """
    {
      "model": "gpt-5.5",
      "max_output_tokens": 2048,
      "input": [
        {"role": "user", "content": "請用中文簡要介紹人工智慧"}
      ]
    }
    """;
HttpRequest request = HttpRequest.newBuilder()
    .uri(URI.create("https://api.mixroute.ai/v1/responses"))
    .header("Authorization", "Bearer sk-xxxxxxxxxx")
    .header("Content-Type", "application/json")
    .POST(HttpRequest.BodyPublishers.ofString(json))
    .build();
HttpResponse<String> response = client.send(request, HttpResponse.BodyHandlers.ofString());
System.out.println(response.body());

require 'net/http'
require 'json'

uri = URI('https://api.mixroute.ai/v1/responses')
http = Net::HTTP.new(uri.host, uri.port)
http.use_ssl = true

request = Net::HTTP::Post.new(uri)
request['Authorization'] = 'Bearer sk-xxxxxxxxxx'
request['Content-Type'] = 'application/json'
request.body = {
  model: 'gpt-5.5',
  max_output_tokens: 2048,
  input: [
    { role: 'user', content: '請用中文簡要介紹人工智慧' }
  ]
}.to_json

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

{
  "id": "resp_xxx",
  "object": "response",
  "created_at": 1768271369,
  "model": "gpt-5.5",
  "status": "completed",
  "output": [
    {
      "id": "msg_xxx",
      "type": "message",
      "status": "completed",
      "role": "assistant",
      "content": [
        {
          "type": "output_text",
          "text": "人工智慧（AI）是計算機科學的一個分支...",
          "annotations": []
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 25,
    "output_tokens": 150,
    "total_tokens": 175
  }
}