curl --request GET \
  --url https://api.infery.ai/v1/tools \
  --header 'Authorization: <api-key>'

import requests

url = "https://api.infery.ai/v1/tools"

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

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

print(response.text)

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

fetch('https://api.infery.ai/v1/tools', 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.infery.ai/v1/tools",
  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.infery.ai/v1/tools"

	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.infery.ai/v1/tools")
  .header("Authorization", "<api-key>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.infery.ai/v1/tools")

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

{
  "object": "list",
  "data": [
    {
      "id": "image.resize",
      "object": "capability",
      "category": "image",
      "display_name": "Resize image",
      "description": "Resize image to target dimensions.",
      "input_modality": "image",
      "output_modality": "image",
      "params_schema": {},
      "input_schema": {},
      "long_description": "<string>",
      "composite": true,
      "sample_input": {
        "image_url": "https://example.com/photo.png"
      },
      "examples": [
        {
          "title": "800×600 cover",
          "params": {
            "width": 800,
            "height": 600,
            "fit": "cover"
          }
        }
      ],
      "pricing": {
        "currency": "credits",
        "unit": "per_operation",
        "input_per_million": 123,
        "output_per_million": 123,
        "audio_input_per_million": 123,
        "audio_output_per_million": 123,
        "image_input_per_million": 123,
        "image_output_per_million": 123,
        "cached_input_per_million": 123,
        "cache_write_per_million": 123,
        "cache_write_1h_per_million": 123,
        "request_price": 123,
        "image_price": 123,
        "second_price": 123,
        "minute_price": 123,
        "character_price": 123,
        "operation_price": 123,
        "megapixel_price": 123
      }
    }
  ]
}

{
  "error": {
    "message": "Model not found",
    "type": "invalid_request_error",
    "code": "model_not_found",
    "param": "model",
    "job_id": "job_1hR9xTPZqK4mVLc2nJ7fY5wB"
  }
}