curl --request POST \
  --url https://apiif.com/v1/responses \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "gpt-5",
  "input": [
    {
      "role": "user",
      "content": [
        {
          "type": "input_text",
          "text": "What is in this image?"
        },
        {
          "type": "input_image",
          "image_url": "https://openai-documentation.vercel.app/images/cat_and_otter.png"
        }
      ]
    }
  ]
}
'

package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://apiif.com/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-5\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"input_text\",\n          \"text\": \"What is in this image?\"\n        },\n        {\n          \"type\": \"input_image\",\n          \"image_url\": \"https://openai-documentation.vercel.app/images/cat_and_otter.png\"\n        }\n      ]\n    }\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://apiif.com/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-5\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"input_text\",\n          \"text\": \"What is in this image?\"\n        },\n        {\n          \"type\": \"input_image\",\n          \"image_url\": \"https://openai-documentation.vercel.app/images/cat_and_otter.png\"\n        }\n      ]\n    }\n  ]\n}")
  .asString();

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-5',
    input: [
      {
        role: 'user',
        content: [
          {type: 'input_text', text: 'What is in this image?'},
          {
            type: 'input_image',
            image_url: 'https://openai-documentation.vercel.app/images/cat_and_otter.png'
          }
        ]
      }
    ]
  })
};

fetch('https://apiif.com/v1/responses', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

const url = 'https://apiif.com/v1/responses';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: 'gpt-5',
    input: [
      {
        role: 'user',
        content: [
          {type: 'input_text', text: 'What is in this image?'},
          {
            type: 'input_image',
            image_url: 'https://openai-documentation.vercel.app/images/cat_and_otter.png'
          }
        ]
      }
    ]
  })
};

fetch(url, options)
  .then(res => res.json())
  .then(json => console.log(json))
  .catch(err => console.error(err));

<?php

$curl = curl_init();

curl_setopt_array($curl, [
  CURLOPT_URL => "https://apiif.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',
    'input' => [
        [
                'role' => 'user',
                'content' => [
                                [
                                                                'type' => 'input_text',
                                                                'text' => 'What is in this image?'
                                ],
                                [
                                                                'type' => 'input_image',
                                                                'image_url' => 'https://openai-documentation.vercel.app/images/cat_and_otter.png'
                                ]
                ]
        ]
    ]
  ]),
  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;
}

$headers=@{}
$headers.Add("Authorization", "Bearer <token>")
$headers.Add("Content-Type", "application/json")
$response = Invoke-WebRequest -Uri 'https://apiif.com/v1/responses' -Method POST -Headers $headers -ContentType 'application/json' -Body '{
  "model": "gpt-5",
  "input": [
    {
      "role": "user",
      "content": [
        {
          "type": "input_text",
          "text": "What is in this image?"
        },
        {
          "type": "input_image",
          "image_url": "https://openai-documentation.vercel.app/images/cat_and_otter.png"
        }
      ]
    }
  ]
}'

import requests

url = "https://apiif.com/v1/responses"

payload = {
    "model": "gpt-5",
    "input": [
        {
            "role": "user",
            "content": [
                {
                    "type": "input_text",
                    "text": "What is in this image?"
                },
                {
                    "type": "input_image",
                    "image_url": "https://openai-documentation.vercel.app/images/cat_and_otter.png"
                }
            ]
        }
    ]
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

require 'uri'
require 'net/http'

url = URI("https://apiif.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\",\n  \"input\": [\n    {\n      \"role\": \"user\",\n      \"content\": [\n        {\n          \"type\": \"input_text\",\n          \"text\": \"What is in this image?\"\n        },\n        {\n          \"type\": \"input_image\",\n          \"image_url\": \"https://openai-documentation.vercel.app/images/cat_and_otter.png\"\n        }\n      ]\n    }\n  ]\n}"

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

import Foundation

let parameters = [
  "model": "gpt-5",
  "input": [
    [
      "role": "user",
      "content": [
        [
          "type": "input_text",
          "text": "What is in this image?"
        ],
        [
          "type": "input_image",
          "image_url": "https://openai-documentation.vercel.app/images/cat_and_otter.png"
        ]
      ]
    ]
  ]
] as [String : Any?]

let postData = try JSONSerialization.data(withJSONObject: parameters, options: [])

let url = URL(string: "https://apiif.com/v1/responses")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
request.httpBody = postData

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

{
  "code": 200,
  "data": {
    "id": "resp-9876543210",
    "object": "response",
    "created": 1677652288,
    "model": "gpt-5",
    "choices": [
      {
        "index": 0,
        "message": {
          "role": "assistant",
          "content": "This image shows a cat and an otter. They appear to be interacting with each other in a very cute and heartwarming scene."
        },
        "finish_reason": "stop"
      }
    ],
    "usage": {
      "prompt_tokens": 156,
      "completion_tokens": 45,
      "total_tokens": 201
    }
  }
}

{
  "error": {
    "code": 400,
    "message": "Invalid request parameters",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "Authentication failed, please check your API key",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "Insufficient account balance, please top up and try again",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 403,
    "message": "Access forbidden, you do not have permission to access this resource",
    "type": "permission_error"
  }
}

{
  "error": {
    "code": 429,
    "message": "Too many requests, please try again later",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal server error, please try again later",
    "type": "server_error"
  }
}

{
  "error": {
    "code": 502,
    "message": "Gateway error, server temporarily unavailable",
    "type": "bad_gateway"
  }
}