curl --request POST \
  --url https://api.gregapi.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-4.1",
  "input": [
    {
      "role": "user",
      "content": [
        {
          "type": "text",
          "text": "Summarize the attachment."
        }
      ]
    }
  ],
  "response_format": {
    "type": "json_schema"
  }
}
'

import requests

url = "https://api.gregapi.com/v1/responses"

payload = {
    "model": "gpt-4.1",
    "input": [
        {
            "role": "user",
            "content": [
                {
                    "type": "text",
                    "text": "Summarize the attachment."
                }
            ]
        }
    ],
    "response_format": { "type": "json_schema" }
}
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-4.1',
    input: [{role: 'user', content: [{type: 'text', text: 'Summarize the attachment.'}]}],
    response_format: {type: 'json_schema'}
  })
};

fetch('https://api.gregapi.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://api.gregapi.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-4.1',
    'input' => [
        [
                'role' => 'user',
                'content' => [
                                [
                                                                'type' => 'text',
                                                                'text' => 'Summarize the attachment.'
                                ]
                ]
        ]
    ],
    'response_format' => [
        'type' => 'json_schema'
    ]
  ]),
  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.gregapi.com/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-4.1\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"Summarize the attachment.\"\n        }\n      ]\n    }\n  ],\n  \"response_format\": {\n    \"type\": \"json_schema\"\n  }\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.gregapi.com/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-4.1\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"Summarize the attachment.\"\n        }\n      ]\n    }\n  ],\n  \"response_format\": {\n    \"type\": \"json_schema\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gregapi.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-4.1\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"text\",\n          \"text\": \"Summarize the attachment.\"\n        }\n      ]\n    }\n  ],\n  \"response_format\": {\n    \"type\": \"json_schema\"\n  }\n}"

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