curl --request POST \
  --url https://www.anyfast.ai/v1/responses \
  --header 'Authorization: Bearer YOUR_API_KEY' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "gpt-6-luna",
    "input": "Classify this support ticket and return a short routing reason.",
    "reasoning": {"effort":"medium","summary":"auto"},
    "max_output_tokens": 1024
  }'

import requests

url = "https://www.anyfast.ai/v1/responses"

payload = {
    "model": "gpt-6-luna",
    "input": "<string>",
    "instructions": "<string>",
    "reasoning": { "effort": "medium" },
    "max_output_tokens": 64000,
    "text": {},
    "tools": [
        {
            "type": "<string>",
            "name": "<string>",
            "description": "<string>",
            "parameters": {},
            "strict": True
        }
    ],
    "stream": False,
    "prompt_cache_key": "<string>",
    "prompt_cache_options": { "ttl": "30m" },
    "include": ["<string>"]
}
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-6-luna',
    input: '<string>',
    instructions: '<string>',
    reasoning: {effort: 'medium'},
    max_output_tokens: 64000,
    text: {},
    tools: [
      {
        type: '<string>',
        name: '<string>',
        description: '<string>',
        parameters: {},
        strict: true
      }
    ],
    stream: false,
    prompt_cache_key: '<string>',
    prompt_cache_options: {ttl: '30m'},
    include: ['<string>']
  })
};

fetch('https://www.anyfast.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://www.anyfast.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' => 'gpt-6-luna',
    'input' => '<string>',
    'instructions' => '<string>',
    'reasoning' => [
        'effort' => 'medium'
    ],
    'max_output_tokens' => 64000,
    'text' => [
        
    ],
    'tools' => [
        [
                'type' => '<string>',
                'name' => '<string>',
                'description' => '<string>',
                'parameters' => [
                                
                ],
                'strict' => true
        ]
    ],
    'stream' => false,
    'prompt_cache_key' => '<string>',
    'prompt_cache_options' => [
        'ttl' => '30m'
    ],
    'include' => [
        '<string>'
    ]
  ]),
  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://www.anyfast.ai/v1/responses"

	payload := strings.NewReader("{\n  \"model\": \"gpt-6-luna\",\n  \"input\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"reasoning\": {\n    \"effort\": \"medium\"\n  },\n  \"max_output_tokens\": 64000,\n  \"text\": {},\n  \"tools\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"parameters\": {},\n      \"strict\": true\n    }\n  ],\n  \"stream\": false,\n  \"prompt_cache_key\": \"<string>\",\n  \"prompt_cache_options\": {\n    \"ttl\": \"30m\"\n  },\n  \"include\": [\n    \"<string>\"\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://www.anyfast.ai/v1/responses")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"gpt-6-luna\",\n  \"input\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"reasoning\": {\n    \"effort\": \"medium\"\n  },\n  \"max_output_tokens\": 64000,\n  \"text\": {},\n  \"tools\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"parameters\": {},\n      \"strict\": true\n    }\n  ],\n  \"stream\": false,\n  \"prompt_cache_key\": \"<string>\",\n  \"prompt_cache_options\": {\n    \"ttl\": \"30m\"\n  },\n  \"include\": [\n    \"<string>\"\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://www.anyfast.ai/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-6-luna\",\n  \"input\": \"<string>\",\n  \"instructions\": \"<string>\",\n  \"reasoning\": {\n    \"effort\": \"medium\"\n  },\n  \"max_output_tokens\": 64000,\n  \"text\": {},\n  \"tools\": [\n    {\n      \"type\": \"<string>\",\n      \"name\": \"<string>\",\n      \"description\": \"<string>\",\n      \"parameters\": {},\n      \"strict\": true\n    }\n  ],\n  \"stream\": false,\n  \"prompt_cache_key\": \"<string>\",\n  \"prompt_cache_options\": {\n    \"ttl\": \"30m\"\n  },\n  \"include\": [\n    \"<string>\"\n  ]\n}"

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

{
  "id": "<string>",
  "object": "response",
  "model": "gpt-6-luna",
  "status": "queued",
  "output": [
    {}
  ],
  "output_text": "<string>",
  "usage": {},
  "error": {}
}

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

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

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