curl --request POST \
  --url https://ai.alad.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5.4",
  "input": [
    {
      "role": "user",
      "content": "你好！"
    }
  ],
  "stream": false,
  "temperature": 1,
  "top_p": 0.5,
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "max_output_tokens": 2,
  "stop": "<string>",
  "n": 1,
  "text": {
    "format": {}
  },
  "reasoning": {},
  "tools": [
    {}
  ],
  "tool_choice": "<string>",
  "store": true,
  "user": "<string>"
}
'

import requests

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

payload = {
    "model": "gpt-5.4",
    "input": [
        {
            "role": "user",
            "content": "你好！"
        }
    ],
    "stream": False,
    "temperature": 1,
    "top_p": 0.5,
    "frequency_penalty": 0,
    "presence_penalty": 0,
    "max_output_tokens": 2,
    "stop": "<string>",
    "n": 1,
    "text": { "format": {} },
    "reasoning": {},
    "tools": [{}],
    "tool_choice": "<string>",
    "store": True,
    "user": "<string>"
}
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-5.4',
    input: [{role: 'user', content: '你好！'}],
    stream: false,
    temperature: 1,
    top_p: 0.5,
    frequency_penalty: 0,
    presence_penalty: 0,
    max_output_tokens: 2,
    stop: '<string>',
    n: 1,
    text: {format: {}},
    reasoning: {},
    tools: [{}],
    tool_choice: '<string>',
    store: true,
    user: '<string>'
  })
};

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' => 'gpt-5.4',
    'input' => [
        [
                'role' => 'user',
                'content' => '你好！'
        ]
    ],
    'stream' => false,
    'temperature' => 1,
    'top_p' => 0.5,
    'frequency_penalty' => 0,
    'presence_penalty' => 0,
    'max_output_tokens' => 2,
    'stop' => '<string>',
    'n' => 1,
    'text' => [
        'format' => [
                
        ]
    ],
    'reasoning' => [
        
    ],
    'tools' => [
        [
                
        ]
    ],
    'tool_choice' => '<string>',
    'store' => true,
    'user' => '<string>'
  ]),
  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\": \"gpt-5.4\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"max_output_tokens\": 2,\n  \"stop\": \"<string>\",\n  \"n\": 1,\n  \"text\": {\n    \"format\": {}\n  },\n  \"reasoning\": {},\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": \"<string>\",\n  \"store\": true,\n  \"user\": \"<string>\"\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\": \"gpt-5.4\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"max_output_tokens\": 2,\n  \"stop\": \"<string>\",\n  \"n\": 1,\n  \"text\": {\n    \"format\": {}\n  },\n  \"reasoning\": {},\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": \"<string>\",\n  \"store\": true,\n  \"user\": \"<string>\"\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\": \"gpt-5.4\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 0.5,\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"max_output_tokens\": 2,\n  \"stop\": \"<string>\",\n  \"n\": 1,\n  \"text\": {\n    \"format\": {}\n  },\n  \"reasoning\": {},\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": \"<string>\",\n  \"store\": true,\n  \"user\": \"<string>\"\n}"

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

{
  "id": "resp_0ed94fe7ec73cf560169afd97bba648194b8661d445cfa4244",
  "object": "response",
  "created_at": 1773132155,
  "model": "gpt-5.4",
  "status": "completed",
  "output": [
    {
      "id": "msg_0ed94fe7ec73cf56",
      "type": "message",
      "role": "assistant",
      "status": "completed",
      "content": [
        {
          "type": "output_text",
          "text": "你好！有什么可以帮您的？",
          "annotations": [
            {}
          ]
        }
      ]
    }
  ],
  "usage": {
    "input_tokens": 8,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens": 15,
    "output_tokens_details": {
      "reasoning_tokens": 0
    },
    "total_tokens": 23
  },
  "completed_at": 1773132156,
  "reasoning": {
    "effort": "high",
    "summary": "detailed"
  },
  "text": {
    "format": {
      "type": "text"
    },
    "verbosity": "medium"
  }
}

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

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

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