curl --request GET \
  --url https://api.gcore.com/cloud/v3/inference/applications/catalog \
  --header 'Authorization: <api-key>'

import requests

url = "https://api.gcore.com/cloud/v3/inference/applications/catalog"

headers = {"Authorization": "<api-key>"}

response = requests.get(url, headers=headers)

print(response.text)

const options = {method: 'GET', headers: {Authorization: '<api-key>'}};

fetch('https://api.gcore.com/cloud/v3/inference/applications/catalog', 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.gcore.com/cloud/v3/inference/applications/catalog",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "GET",
  CURLOPT_HTTPHEADER => [
    "Authorization: <api-key>"
  ],
]);

$response = curl_exec($curl);
$err = curl_error($curl);

curl_close($curl);

if ($err) {
  echo "cURL Error #:" . $err;
} else {
  echo $response;
}

package main

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

func main() {

	url := "https://api.gcore.com/cloud/v3/inference/applications/catalog"

	req, _ := http.NewRequest("GET", url, nil)

	req.Header.Add("Authorization", "<api-key>")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(string(body))

}

HttpResponse<String> response = Unirest.get("https://api.gcore.com/cloud/v3/inference/applications/catalog")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gcore.com/cloud/v3/inference/applications/catalog")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = '<api-key>'

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

{
  "count": 1,
  "results": [
    {
      "components": {
        "model": {
          "description": "Llama 3.2 1B is a multilingual large language model developed by Meta.",
          "display_name": "Llama 3.2 1B",
          "exposable": true,
          "license_url": "https://example.com/license",
          "parameters": {
            "prefix_cache": {
              "default_value": "1",
              "description": "Controls automatic prefix caching; set to 1 to speed up inference for repetitive prompts, or 0 to disable for diverse inputs.",
              "display_name": "prefix_cache",
              "examples": [
                "0",
                "1"
              ]
            }
          },
          "readme": "Detailed documentation",
          "required": true,
          "suitable_flavors": [
            {
              "name": "inference-16vcpu-232gib-1xh100-80gb"
            }
          ]
        }
      },
      "cover_url": "https://cdn.example.com",
      "description": "This is a demo application",
      "display_name": "Llama-3.2-1B-Instruct",
      "name": "demo-app",
      "readme": "Detailed documentation",
      "tags": {
        "category": "Model",
        "model_docs_endpoint": "/docs",
        "model_inference_engine": "vllm",
        "model_owner": "Meta",
        "model_type": "Text Generation"
      }
    }
  ]
}