curl --request POST \
  --url https://api.bytez.com/models/v2/openai/v1/responses \
  --header 'Authorization: <authorization>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "<string>",
  "input": "<string>",
  "max_output_tokens": 256,
  "temperature": 0.7,
  "stream": false,
  "reasoning": {
    "effort": "medium",
    "summary": "none"
  },
  "tools": [
    {
      "type": "function",
      "function": {
        "name": "<string>",
        "description": "<string>",
        "parameters": {}
      }
    }
  ],
  "metadata": {},
  "user": "<string>",
  "include": [
    "<string>"
  ],
  "top_logprobs": 123
}
'

import requests

url = "https://api.bytez.com/models/v2/openai/v1/responses"

payload = {
    "model": "<string>",
    "input": "<string>",
    "max_output_tokens": 256,
    "temperature": 0.7,
    "stream": False,
    "reasoning": {
        "effort": "medium",
        "summary": "none"
    },
    "tools": [
        {
            "type": "function",
            "function": {
                "name": "<string>",
                "description": "<string>",
                "parameters": {}
            }
        }
    ],
    "metadata": {},
    "user": "<string>",
    "include": ["<string>"],
    "top_logprobs": 123
}
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: '<string>',
    max_output_tokens: 256,
    temperature: 0.7,
    stream: false,
    reasoning: {effort: 'medium', summary: 'none'},
    tools: [
      {
        type: 'function',
        function: {name: '<string>', description: '<string>', parameters: {}}
      }
    ],
    metadata: {},
    user: '<string>',
    include: ['<string>'],
    top_logprobs: 123
  })
};

fetch('https://api.bytez.com/models/v2/openai/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.bytez.com/models/v2/openai/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' => '<string>',
    'max_output_tokens' => 256,
    'temperature' => 0.7,
    'stream' => false,
    'reasoning' => [
        'effort' => 'medium',
        'summary' => 'none'
    ],
    'tools' => [
        [
                'type' => 'function',
                'function' => [
                                'name' => '<string>',
                                'description' => '<string>',
                                'parameters' => [
                                                                
                                ]
                ]
        ]
    ],
    'metadata' => [
        
    ],
    'user' => '<string>',
    'include' => [
        '<string>'
    ],
    'top_logprobs' => 123
  ]),
  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.bytez.com/models/v2/openai/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"<string>\",\n  \"input\": \"<string>\",\n  \"max_output_tokens\": 256,\n  \"temperature\": 0.7,\n  \"stream\": false,\n  \"reasoning\": {\n    \"effort\": \"medium\",\n    \"summary\": \"none\"\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"metadata\": {},\n  \"user\": \"<string>\",\n  \"include\": [\n    \"<string>\"\n  ],\n  \"top_logprobs\": 123\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.bytez.com/models/v2/openai/v1/responses")
  .header("Authorization", "<authorization>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"<string>\",\n  \"input\": \"<string>\",\n  \"max_output_tokens\": 256,\n  \"temperature\": 0.7,\n  \"stream\": false,\n  \"reasoning\": {\n    \"effort\": \"medium\",\n    \"summary\": \"none\"\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"metadata\": {},\n  \"user\": \"<string>\",\n  \"include\": [\n    \"<string>\"\n  ],\n  \"top_logprobs\": 123\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.bytez.com/models/v2/openai/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\": \"<string>\",\n  \"max_output_tokens\": 256,\n  \"temperature\": 0.7,\n  \"stream\": false,\n  \"reasoning\": {\n    \"effort\": \"medium\",\n    \"summary\": \"none\"\n  },\n  \"tools\": [\n    {\n      \"type\": \"function\",\n      \"function\": {\n        \"name\": \"<string>\",\n        \"description\": \"<string>\",\n        \"parameters\": {}\n      }\n    }\n  ],\n  \"metadata\": {},\n  \"user\": \"<string>\",\n  \"include\": [\n    \"<string>\"\n  ],\n  \"top_logprobs\": 123\n}"

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

{
  "id": "<string>",
  "object": "<string>",
  "created": 123,
  "model": "<string>",
  "output": [
    {
      "type": "message",
      "role": "<string>",
      "content": [
        {
          "type": "output_text",
          "text": "<string>"
        }
      ]
    }
  ],
  "output_text": "<string>",
  "usage": {}
}