curl --request GET \
  --url https://api.llmstore.ru/v1/model/{author}/{slug} \
  --header 'Authorization: Bearer <token>'

import requests

url = "https://api.llmstore.ru/v1/model/{author}/{slug}"

headers = {"Authorization": "Bearer <token>"}

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

print(response.text)

const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.llmstore.ru/v1/model/{author}/{slug}', 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.llmstore.ru/v1/model/{author}/{slug}",
  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: Bearer <token>"
  ],
]);

$response = curl_exec($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.llmstore.ru/v1/model/{author}/{slug}"

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

	req.Header.Add("Authorization", "Bearer <token>")

	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.llmstore.ru/v1/model/{author}/{slug}")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.llmstore.ru/v1/model/{author}/{slug}")

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

request = Net::HTTP::Get.new(url)
request["Authorization"] = 'Bearer <token>'

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

{
  "data": {
    "architecture": {
      "input_modalities": [
        "text"
      ],
      "instruct_type": "chatml",
      "modality": "text->text",
      "output_modalities": [
        "text"
      ],
      "tokenizer": "GPT"
    },
    "canonical_slug": "openai/gpt-4",
    "context_length": 8192,
    "created": 1692901234,
    "default_parameters": null,
    "description": "GPT-4 is a large multimodal model that can solve difficult problems with greater accuracy.",
    "expiration_date": null,
    "id": "openai/gpt-4",
    "knowledge_cutoff": null,
    "links": {
      "details": "/api/v1/models/openai/gpt-4/endpoints"
    },
    "name": "GPT-4",
    "per_request_limits": null,
    "pricing": {
      "completion": "0.00006",
      "image": "0",
      "prompt": "0.00003",
      "request": "0"
    },
    "supported_parameters": [
      "temperature",
      "top_p",
      "max_tokens"
    ],
    "supported_voices": null,
    "top_provider": {
      "context_length": 8192,
      "is_moderated": true,
      "max_completion_tokens": 4096
    }
  }
}

{
  "error": {
    "code": 403,
    "message": "Only management keys can perform this operation"
  }
}

{
  "error": {
    "code": 404,
    "message": "Resource not found"
  }
}

{
  "error": {
    "code": 500,
    "message": "Internal Server Error"
  }
}