using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;

var sdk = new SDK(bearerAuth: "<YOUR_BEARER_TOKEN_HERE>");

ActivateRegistryEntryRequest req = new ActivateRegistryEntryRequest() {
    Source = RegistrySource.Cluster,
    ModelId = "openai:gpt-4.1-mini",
};

var res = await sdk.Llm.Models.ActivateRegistryEntryAsync(req);

// handle response

from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.models.activate_registry_entry(source="cluster", model_id="openai:gpt-4.1-mini")

    # Handle response
    print(res)

import { SDK } from "@meetkai/mka1";

const sdk = new SDK({
  bearerAuth: "<YOUR_BEARER_TOKEN_HERE>",
});

async function run() {
  const result = await sdk.llm.models.activateRegistryEntry({
    source: "cluster",
    modelId: "openai:gpt-4.1-mini",
  });

  console.log(result);
}

run();

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/models/registry \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "source": "cluster",
  "model_id": "openai:gpt-4.1-mini"
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({source: 'cluster', model_id: 'openai:gpt-4.1-mini'})
};

fetch('https://apigw.mka1.com/api/v1/llm/models/registry', 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://apigw.mka1.com/api/v1/llm/models/registry",
  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([
    'source' => 'cluster',
    'model_id' => 'openai:gpt-4.1-mini'
  ]),
  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://apigw.mka1.com/api/v1/llm/models/registry"

	payload := strings.NewReader("{\n  \"source\": \"cluster\",\n  \"model_id\": \"openai:gpt-4.1-mini\"\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://apigw.mka1.com/api/v1/llm/models/registry")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"source\": \"cluster\",\n  \"model_id\": \"openai:gpt-4.1-mini\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/v1/llm/models/registry")

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  \"source\": \"cluster\",\n  \"model_id\": \"openai:gpt-4.1-mini\"\n}"

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

{
  "model_id": "openai:gpt-4.1-mini",
  "source": "cluster",
  "activated_by": "user-org-admin-1",
  "activated_at": "2026-07-17T20:00:00.000Z"
}