curl --request POST \
  --url https://api.edenai.run/v3/universal-ai/async \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "model": "text/ai_detection/openai/gpt-4",
  "input": {
    "text": "Analyze this text for AI detection"
  },
  "tags": {
    "client": "acme",
    "project": "invoices"
  },
  "provider_params": {},
  "fallbacks": [
    "<string>"
  ],
  "show_original_response": false,
  "output_format": "full",
  "webhook_receiver": "<string>",
  "user_webhook_parameters": {}
}
'

import requests

url = "https://api.edenai.run/v3/universal-ai/async"

payload = {
    "model": "text/ai_detection/openai/gpt-4",
    "input": { "text": "Analyze this text for AI detection" },
    "tags": {
        "client": "acme",
        "project": "invoices"
    },
    "provider_params": {},
    "fallbacks": ["<string>"],
    "show_original_response": False,
    "output_format": "full",
    "webhook_receiver": "<string>",
    "user_webhook_parameters": {}
}
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: 'text/ai_detection/openai/gpt-4',
    input: {text: 'Analyze this text for AI detection'},
    tags: {client: 'acme', project: 'invoices'},
    provider_params: {},
    fallbacks: ['<string>'],
    show_original_response: false,
    output_format: 'full',
    webhook_receiver: '<string>',
    user_webhook_parameters: {}
  })
};

fetch('https://api.edenai.run/v3/universal-ai/async', 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.edenai.run/v3/universal-ai/async",
  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' => 'text/ai_detection/openai/gpt-4',
    'input' => [
        'text' => 'Analyze this text for AI detection'
    ],
    'tags' => [
        'client' => 'acme',
        'project' => 'invoices'
    ],
    'provider_params' => [
        
    ],
    'fallbacks' => [
        '<string>'
    ],
    'show_original_response' => false,
    'output_format' => 'full',
    'webhook_receiver' => '<string>',
    'user_webhook_parameters' => [
        
    ]
  ]),
  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.edenai.run/v3/universal-ai/async"

	payload := strings.NewReader("{\n  \"model\": \"text/ai_detection/openai/gpt-4\",\n  \"input\": {\n    \"text\": \"Analyze this text for AI detection\"\n  },\n  \"tags\": {\n    \"client\": \"acme\",\n    \"project\": \"invoices\"\n  },\n  \"provider_params\": {},\n  \"fallbacks\": [\n    \"<string>\"\n  ],\n  \"show_original_response\": false,\n  \"output_format\": \"full\",\n  \"webhook_receiver\": \"<string>\",\n  \"user_webhook_parameters\": {}\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.edenai.run/v3/universal-ai/async")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"model\": \"text/ai_detection/openai/gpt-4\",\n  \"input\": {\n    \"text\": \"Analyze this text for AI detection\"\n  },\n  \"tags\": {\n    \"client\": \"acme\",\n    \"project\": \"invoices\"\n  },\n  \"provider_params\": {},\n  \"fallbacks\": [\n    \"<string>\"\n  ],\n  \"show_original_response\": false,\n  \"output_format\": \"full\",\n  \"webhook_receiver\": \"<string>\",\n  \"user_webhook_parameters\": {}\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.edenai.run/v3/universal-ai/async")

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\": \"text/ai_detection/openai/gpt-4\",\n  \"input\": {\n    \"text\": \"Analyze this text for AI detection\"\n  },\n  \"tags\": {\n    \"client\": \"acme\",\n    \"project\": \"invoices\"\n  },\n  \"provider_params\": {},\n  \"fallbacks\": [\n    \"<string>\"\n  ],\n  \"show_original_response\": false,\n  \"output_format\": \"full\",\n  \"webhook_receiver\": \"<string>\",\n  \"user_webhook_parameters\": {}\n}"

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

{
  "status": "success",
  "cost": "<string>",
  "provider": "<string>",
  "feature": "<string>",
  "subfeature": "<string>",
  "public_id": "<string>",
  "created_at": "2023-11-07T05:31:56Z",
  "output_format": "full",
  "output": "<unknown>",
  "error": {},
  "original_response": "<unknown>",
  "model": "<string>"
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}