curl --request POST \
  --url https://ai.alad.com/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "deepseek-v4-pro",
  "messages": [
    {
      "role": "user",
      "content": "你好！"
    }
  ],
  "thinking": {},
  "max_tokens": 2,
  "response_format": {
    "type": "text"
  },
  "stop": "<string>",
  "stream": false,
  "stream_options": {
    "include_usage": true
  },
  "temperature": 1,
  "top_p": 1,
  "tools": [
    {
      "type": "function"
    }
  ],
  "frequency_penalty": 0,
  "presence_penalty": 0,
  "user_id": "<string>"
}
'

import requests

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

payload = {
    "model": "deepseek-v4-pro",
    "messages": [
        {
            "role": "user",
            "content": "你好！"
        }
    ],
    "thinking": {},
    "max_tokens": 2,
    "response_format": { "type": "text" },
    "stop": "<string>",
    "stream": False,
    "stream_options": { "include_usage": True },
    "temperature": 1,
    "top_p": 1,
    "tools": [{ "type": "function" }],
    "frequency_penalty": 0,
    "presence_penalty": 0,
    "user_id": "<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: 'deepseek-v4-pro',
    messages: [{role: 'user', content: '你好！'}],
    thinking: {},
    max_tokens: 2,
    response_format: {type: 'text'},
    stop: '<string>',
    stream: false,
    stream_options: {include_usage: true},
    temperature: 1,
    top_p: 1,
    tools: [{type: 'function'}],
    frequency_penalty: 0,
    presence_penalty: 0,
    user_id: '<string>'
  })
};

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' => 'deepseek-v4-pro',
    'messages' => [
        [
                'role' => 'user',
                'content' => '你好！'
        ]
    ],
    'thinking' => [
        
    ],
    'max_tokens' => 2,
    'response_format' => [
        'type' => 'text'
    ],
    'stop' => '<string>',
    'stream' => false,
    'stream_options' => [
        'include_usage' => true
    ],
    'temperature' => 1,
    'top_p' => 1,
    'tools' => [
        [
                'type' => 'function'
        ]
    ],
    'frequency_penalty' => 0,
    'presence_penalty' => 0,
    'user_id' => '<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/chat/completions"

	payload := strings.NewReader("{\n  \"model\": \"deepseek-v4-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"thinking\": {},\n  \"max_tokens\": 2,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"stop\": \"<string>\",\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_usage\": true\n  },\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"tools\": [\n    {\n      \"type\": \"function\"\n    }\n  ],\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"user_id\": \"<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/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"deepseek-v4-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"thinking\": {},\n  \"max_tokens\": 2,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"stop\": \"<string>\",\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_usage\": true\n  },\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"tools\": [\n    {\n      \"type\": \"function\"\n    }\n  ],\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"user_id\": \"<string>\"\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\": \"deepseek-v4-pro\",\n  \"messages\": [\n    {\n      \"role\": \"user\",\n      \"content\": \"你好！\"\n    }\n  ],\n  \"thinking\": {},\n  \"max_tokens\": 2,\n  \"response_format\": {\n    \"type\": \"text\"\n  },\n  \"stop\": \"<string>\",\n  \"stream\": false,\n  \"stream_options\": {\n    \"include_usage\": true\n  },\n  \"temperature\": 1,\n  \"top_p\": 1,\n  \"tools\": [\n    {\n      \"type\": \"function\"\n    }\n  ],\n  \"frequency_penalty\": 0,\n  \"presence_penalty\": 0,\n  \"user_id\": \"<string>\"\n}"

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

{
  "id": "chatcmpl-abc123",
  "object": "chat.completion",
  "created": 123,
  "model": "deepseek-v4-pro",
  "choices": [
    {
      "index": 123,
      "message": {
        "role": "assistant",
        "content": "你好！有什么我可以帮助你的吗？",
        "reasoning_content": "<string>",
        "tool_calls": [
          {
            "id": "<string>",
            "type": "function",
            "function": {
              "name": "<string>",
              "arguments": "<string>"
            }
          }
        ]
      },
      "matched_stop": "<string>"
    }
  ],
  "usage": {
    "prompt_tokens": 123,
    "completion_tokens": 123,
    "total_tokens": 123,
    "prompt_tokens_details": {
      "cached_tokens": 123,
      "audio_tokens": 123,
      "text_tokens": 123
    },
    "completion_tokens_details": {
      "reasoning_tokens": 123,
      "accepted_prediction_tokens": 123,
      "rejected_prediction_tokens": 123
    }
  },
  "system_fingerprint": "<string>"
}

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