curl --request POST \
  --url https://api.gravitex.ai/v1/responses \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": [
    {}
  ],
  "instructions": "<string>",
  "max_output_tokens": 123,
  "stream": true,
  "temperature": 123,
  "top_p": 123,
  "reasoning": {},
  "tools": [
    {}
  ],
  "tool_choice": {},
  "parallel_tool_calls": true,
  "max_tool_calls": 123,
  "previous_response_id": "<string>",
  "truncation": "<string>",
  "metadata": {},
  "user": "<string>"
}
'

import requests

url = "https://api.gravitex.ai/v1/responses"

payload = {
    "model": "<string>",
    "input": [{}],
    "instructions": "<string>",
    "max_output_tokens": 123,
    "stream": True,
    "temperature": 123,
    "top_p": 123,
    "reasoning": {},
    "tools": [{}],
    "tool_choice": {},
    "parallel_tool_calls": True,
    "max_tool_calls": 123,
    "previous_response_id": "<string>",
    "truncation": "<string>",
    "metadata": {},
    "user": "<string>"
}
headers = {
    "Authorization": "<authorization>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: '<authorization>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    model: '<string>',
    input: [{}],
    instructions: '<string>',
    max_output_tokens: 123,
    stream: true,
    temperature: 123,
    top_p: 123,
    reasoning: {},
    tools: [{}],
    tool_choice: {},
    parallel_tool_calls: true,
    max_tool_calls: 123,
    previous_response_id: '<string>',
    truncation: '<string>',
    metadata: {},
    user: '<string>'
  })
};

fetch('https://api.gravitex.ai/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.gravitex.ai/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' => '<string>',
    'input' => [
        [
                
        ]
    ],
    'instructions' => '<string>',
    'max_output_tokens' => 123,
    'stream' => true,
    'temperature' => 123,
    'top_p' => 123,
    'reasoning' => [
        
    ],
    'tools' => [
        [
                
        ]
    ],
    'tool_choice' => [
        
    ],
    'parallel_tool_calls' => true,
    'max_tool_calls' => 123,
    'previous_response_id' => '<string>',
    'truncation' => '<string>',
    'metadata' => [
        
    ],
    'user' => '<string>'
  ]),
  CURLOPT_HTTPHEADER => [
    "Authorization: <authorization>",
    "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.gravitex.ai/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"input\": [\n    {}\n  ],\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"stream\": true,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"reasoning\": {},\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": {},\n  \"parallel_tool_calls\": true,\n  \"max_tool_calls\": 123,\n  \"previous_response_id\": \"<string>\",\n  \"truncation\": \"<string>\",\n  \"metadata\": {},\n  \"user\": \"<string>\"\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "<authorization>")
	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.gravitex.ai/v1/responses")
  .header("Authorization", "<authorization>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"input\": [\n    {}\n  ],\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"stream\": true,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"reasoning\": {},\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": {},\n  \"parallel_tool_calls\": true,\n  \"max_tool_calls\": 123,\n  \"previous_response_id\": \"<string>\",\n  \"truncation\": \"<string>\",\n  \"metadata\": {},\n  \"user\": \"<string>\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gravitex.ai/v1/responses")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = '<authorization>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"model\": \"<string>\",\n  \"input\": [\n    {}\n  ],\n  \"instructions\": \"<string>\",\n  \"max_output_tokens\": 123,\n  \"stream\": true,\n  \"temperature\": 123,\n  \"top_p\": 123,\n  \"reasoning\": {},\n  \"tools\": [\n    {}\n  ],\n  \"tool_choice\": {},\n  \"parallel_tool_calls\": true,\n  \"max_tool_calls\": 123,\n  \"previous_response_id\": \"<string>\",\n  \"truncation\": \"<string>\",\n  \"metadata\": {},\n  \"user\": \"<string>\"\n}"

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