curl --request POST \
  --url https://api.siray.ai/v1/chat/completions \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "frequency_penalty": 0,
  "max_tokens": 128000,
  "messages": [
    {
      "content": "example_value",
      "role": "system"
    }
  ],
  "model": "openai/gpt-5.2-codex",
  "presence_penalty": 0,
  "stream": false,
  "temperature": 1,
  "top_p": 1
}
'

import requests

url = "https://api.siray.ai/v1/chat/completions"

payload = {
    "frequency_penalty": 0,
    "max_tokens": 128000,
    "messages": [
        {
            "content": "example_value",
            "role": "system"
        }
    ],
    "model": "openai/gpt-5.2-codex",
    "presence_penalty": 0,
    "stream": False,
    "temperature": 1,
    "top_p": 1
}
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({
    frequency_penalty: 0,
    max_tokens: 128000,
    messages: [{content: 'example_value', role: 'system'}],
    model: 'openai/gpt-5.2-codex',
    presence_penalty: 0,
    stream: false,
    temperature: 1,
    top_p: 1
  })
};

fetch('https://api.siray.ai/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://api.siray.ai/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([
    'frequency_penalty' => 0,
    'max_tokens' => 128000,
    'messages' => [
        [
                'content' => 'example_value',
                'role' => 'system'
        ]
    ],
    'model' => 'openai/gpt-5.2-codex',
    'presence_penalty' => 0,
    'stream' => false,
    'temperature' => 1,
    'top_p' => 1
  ]),
  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://api.siray.ai/v1/chat/completions"

	payload := strings.NewReader("{\n  \"frequency_penalty\": 0,\n  \"max_tokens\": 128000,\n  \"messages\": [\n    {\n      \"content\": \"example_value\",\n      \"role\": \"system\"\n    }\n  ],\n  \"model\": \"openai/gpt-5.2-codex\",\n  \"presence_penalty\": 0,\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 1\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://api.siray.ai/v1/chat/completions")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"frequency_penalty\": 0,\n  \"max_tokens\": 128000,\n  \"messages\": [\n    {\n      \"content\": \"example_value\",\n      \"role\": \"system\"\n    }\n  ],\n  \"model\": \"openai/gpt-5.2-codex\",\n  \"presence_penalty\": 0,\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 1\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.siray.ai/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  \"frequency_penalty\": 0,\n  \"max_tokens\": 128000,\n  \"messages\": [\n    {\n      \"content\": \"example_value\",\n      \"role\": \"system\"\n    }\n  ],\n  \"model\": \"openai/gpt-5.2-codex\",\n  \"presence_penalty\": 0,\n  \"stream\": false,\n  \"temperature\": 1,\n  \"top_p\": 1\n}"

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

{
  "choices": [
    {
      "index": 123,
      "delta": {
        "content": "<string>",
        "reasoning": "<string>",
        "reasoning_content": "<string>",
        "tool_calls": [
          {
            "function": {
              "arguments": "<string>",
              "description": "<string>",
              "name": "<string>",
              "parameters": "<unknown>"
            },
            "id": "<string>",
            "index": 123,
            "type": "<unknown>"
          }
        ]
      },
      "logprobs": "<unknown>"
    }
  ],
  "created": 123,
  "id": "<string>",
  "model": "<string>",
  "object": "<string>",
  "system_fingerprint": "<string>",
  "usage": {
    "completion_tokens": 123,
    "completion_tokens_details": {
      "audio_tokens": 123,
      "reasoning_tokens": 123,
      "text_tokens": 123
    },
    "input_tokens": 123,
    "output_tokens": 123,
    "prompt_tokens": 123,
    "prompt_tokens_details": {
      "audio_tokens": 123,
      "cached_tokens": 123,
      "image_tokens": 123,
      "text_tokens": 123
    },
    "total_tokens": 123,
    "input_tokens_details": {
      "audio_tokens": 123,
      "cached_tokens": 123,
      "image_tokens": 123,
      "text_tokens": 123
    },
    "prompt_cache_hit_tokens": 123
  }
}