curl --request POST \
  --url https://api.langdock.com/openai/{region}/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5-mini",
  "input": "Write a short poem about cats.",
  "store": false
}
'

import requests

url = "https://api.langdock.com/openai/{region}/v1/responses"

payload = {
    "model": "gpt-5-mini",
    "input": "Write a short poem about cats.",
    "store": False
}
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-mini', input: 'Write a short poem about cats.', store: false})
};

fetch('https://api.langdock.com/openai/{region}/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://api.langdock.com/openai/{region}/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-mini',
    'input' => 'Write a short poem about cats.',
    'store' => false
  ]),
  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.langdock.com/openai/{region}/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5-mini\",\n  \"input\": \"Write a short poem about cats.\",\n  \"store\": false\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.langdock.com/openai/{region}/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-5-mini\",\n  \"input\": \"Write a short poem about cats.\",\n  \"store\": false\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.langdock.com/openai/{region}/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-mini\",\n  \"input\": \"Write a short poem about cats.\",\n  \"store\": false\n}"

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

{
  "id": "resp_09e99d1f7f163d10016a678387353481",
  "object": "response",
  "created_at": 1785168775,
  "status": "completed",
  "model": "gpt-5-mini-2025-08-07",
  "output": [
    {
      "id": "rs_123",
      "type": "reasoning",
      "summary": [
        {}
      ],
      "content": [
        {}
      ],
      "encrypted_content": "<string>"
    }
  ],
  "completed_at": 1785168778,
  "background": false,
  "output_text": "<string>",
  "error": {
    "code": "<string>",
    "message": "<string>"
  },
  "incomplete_details": {},
  "instructions": "<string>",
  "max_output_tokens": 123,
  "parallel_tool_calls": true,
  "reasoning": {},
  "store": false,
  "temperature": 123,
  "text": {},
  "service_tier": "<string>",
  "tool_choice": "<string>",
  "tools": [
    {}
  ],
  "top_p": 123,
  "usage": {
    "input_tokens": 13,
    "output_tokens": 154,
    "total_tokens": 167,
    "input_tokens_details": {
      "cached_tokens": 0
    },
    "output_tokens_details": {
      "reasoning_tokens": 64
    }
  },
  "metadata": {}
}

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