using MeetKai.MKA1;
using MeetKai.MKA1.Types.Components;
using System.Collections.Generic;

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

AddRegistryModelRequest req = new AddRegistryModelRequest() {
    Id = "meetkai:my-custom-chat-v1",
    Provider = "openai-compatible",
    ModelId = "my-custom-chat-v1",
    DisplayName = "My Custom Chat v1",
    BaseUrl = "https://models.example.com/v1",
    ApiFormat = AutoEndpoint.Responses,
    ApiProviderType = AddRegistryModelRequestApiProviderType.Groq,
    Created = 1704067200,
    Auth = AddRegistryModelRequestAuthUnion.CreateApiKey(
        new AddRegistryModelRequestAuth1() {
            Value = "sk-your-provider-api-key",
        }
    ),
    Capabilities = new AddRegistryModelRequestCapabilities() {
        Modalities = new AddRegistryModelRequestModalities() {
            Input = new List<AddRegistryModelRequestInput>() {
                AddRegistryModelRequestInput.Text,
            },
            Output = new List<AddRegistryModelRequestOutput>() {
                AddRegistryModelRequestOutput.Text,
            },
        },
        Reasoning = true,
        SupportsTemperature = true,
        SupportsTopP = true,
    },
    ContextWindow = 131072,
    Rpm = 120,
    DefaultParams = new AddRegistryModelRequestDefaultParams() {
        Temperature = 0.2D,
        TopP = 0.95D,
    },
    Hidden = false,
    HealthCheck = AddRegistryModelRequestHealthCheckUnion.CreatePreflight(
        new AddRegistryModelRequestHealthCheck2() {
            Path = "/home",
        }
    ),
};

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

// handle response

from meetkai_mka1 import SDK


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

    res = sdk.llm.models.add_cluster_registry_model(id="meetkai:my-custom-chat-v1", provider="openai-compatible", model_id="my-custom-chat-v1", api_format="responses", api_provider_type="groq", created=1704067200, auth={
        "type": "api-key",
        "value": "sk-your-provider-api-key",
    }, capabilities={
        "modalities": {
            "input": [
                "text",
            ],
            "output": [
                "text",
            ],
        },
        "reasoning": True,
        "supports_temperature": True,
        "supports_top_p": True,
    }, display_name="My Custom Chat v1", base_url="https://models.example.com/v1", context_window=131072, rpm=120, default_params={
        "temperature": 0.2,
        "top_p": 0.95,
    }, hidden=False, health_check={
        "mode": "preflight",
        "path": "/home",
    })

    # 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.addClusterRegistryModel({
    id: "meetkai:my-custom-chat-v1",
    provider: "openai-compatible",
    modelId: "my-custom-chat-v1",
    displayName: "My Custom Chat v1",
    baseUrl: "https://models.example.com/v1",
    apiFormat: "responses",
    apiProviderType: "groq",
    created: 1704067200,
    auth: {
      type: "api-key",
      value: "sk-your-provider-api-key",
    },
    capabilities: {
      modalities: {
        input: [
          "text",
        ],
        output: [
          "text",
        ],
      },
      reasoning: true,
      supportsTemperature: true,
      supportsTopP: true,
    },
    contextWindow: 131072,
    rpm: 120,
    defaultParams: {
      temperature: 0.2,
      topP: 0.95,
    },
    hidden: false,
    healthCheck: {
      mode: "preflight",
      path: "/home",
    },
  });

  console.log(result);
}

run();

curl --request POST \
  --url https://apigw.mka1.com/api/v1/llm/models/registry/cluster \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "id": "meetkai:my-custom-chat-v1",
  "provider": "openai-compatible",
  "modelId": "my-custom-chat-v1",
  "displayName": "My Custom Chat v1",
  "baseUrl": "https://models.example.com/v1",
  "apiFormat": "responses",
  "created": 1704067200,
  "auth": {
    "type": "api-key",
    "value": "sk-your-provider-api-key"
  },
  "capabilities": {
    "modalities": {
      "input": [
        "text"
      ],
      "output": [
        "text"
      ]
    },
    "reasoning": true,
    "supportsTemperature": true,
    "supportsTopP": true
  },
  "contextWindow": 131072,
  "rpm": 120,
  "defaultParams": {
    "temperature": 0.2,
    "topP": 0.95
  },
  "hidden": false,
  "healthCheck": {
    "url": "https://models.example.com/health",
    "method": "GET"
  }
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    id: 'meetkai:my-custom-chat-v1',
    provider: 'openai-compatible',
    modelId: 'my-custom-chat-v1',
    displayName: 'My Custom Chat v1',
    baseUrl: 'https://models.example.com/v1',
    apiFormat: 'responses',
    created: 1704067200,
    auth: {type: 'api-key', value: 'sk-your-provider-api-key'},
    capabilities: {
      modalities: {input: ['text'], output: ['text']},
      reasoning: true,
      supportsTemperature: true,
      supportsTopP: true
    },
    contextWindow: 131072,
    rpm: 120,
    defaultParams: {temperature: 0.2, topP: 0.95},
    hidden: false,
    healthCheck: {url: 'https://models.example.com/health', method: 'GET'}
  })
};

fetch('https://apigw.mka1.com/api/v1/llm/models/registry/cluster', 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/cluster",
  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([
    'id' => 'meetkai:my-custom-chat-v1',
    'provider' => 'openai-compatible',
    'modelId' => 'my-custom-chat-v1',
    'displayName' => 'My Custom Chat v1',
    'baseUrl' => 'https://models.example.com/v1',
    'apiFormat' => 'responses',
    'created' => 1704067200,
    'auth' => [
        'type' => 'api-key',
        'value' => 'sk-your-provider-api-key'
    ],
    'capabilities' => [
        'modalities' => [
                'input' => [
                                'text'
                ],
                'output' => [
                                'text'
                ]
        ],
        'reasoning' => true,
        'supportsTemperature' => true,
        'supportsTopP' => true
    ],
    'contextWindow' => 131072,
    'rpm' => 120,
    'defaultParams' => [
        'temperature' => 0.2,
        'topP' => 0.95
    ],
    'hidden' => false,
    'healthCheck' => [
        'url' => 'https://models.example.com/health',
        'method' => 'GET'
    ]
  ]),
  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/cluster"

	payload := strings.NewReader("{\n  \"id\": \"meetkai:my-custom-chat-v1\",\n  \"provider\": \"openai-compatible\",\n  \"modelId\": \"my-custom-chat-v1\",\n  \"displayName\": \"My Custom Chat v1\",\n  \"baseUrl\": \"https://models.example.com/v1\",\n  \"apiFormat\": \"responses\",\n  \"created\": 1704067200,\n  \"auth\": {\n    \"type\": \"api-key\",\n    \"value\": \"sk-your-provider-api-key\"\n  },\n  \"capabilities\": {\n    \"modalities\": {\n      \"input\": [\n        \"text\"\n      ],\n      \"output\": [\n        \"text\"\n      ]\n    },\n    \"reasoning\": true,\n    \"supportsTemperature\": true,\n    \"supportsTopP\": true\n  },\n  \"contextWindow\": 131072,\n  \"rpm\": 120,\n  \"defaultParams\": {\n    \"temperature\": 0.2,\n    \"topP\": 0.95\n  },\n  \"hidden\": false,\n  \"healthCheck\": {\n    \"url\": \"https://models.example.com/health\",\n    \"method\": \"GET\"\n  }\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/cluster")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"id\": \"meetkai:my-custom-chat-v1\",\n  \"provider\": \"openai-compatible\",\n  \"modelId\": \"my-custom-chat-v1\",\n  \"displayName\": \"My Custom Chat v1\",\n  \"baseUrl\": \"https://models.example.com/v1\",\n  \"apiFormat\": \"responses\",\n  \"created\": 1704067200,\n  \"auth\": {\n    \"type\": \"api-key\",\n    \"value\": \"sk-your-provider-api-key\"\n  },\n  \"capabilities\": {\n    \"modalities\": {\n      \"input\": [\n        \"text\"\n      ],\n      \"output\": [\n        \"text\"\n      ]\n    },\n    \"reasoning\": true,\n    \"supportsTemperature\": true,\n    \"supportsTopP\": true\n  },\n  \"contextWindow\": 131072,\n  \"rpm\": 120,\n  \"defaultParams\": {\n    \"temperature\": 0.2,\n    \"topP\": 0.95\n  },\n  \"hidden\": false,\n  \"healthCheck\": {\n    \"url\": \"https://models.example.com/health\",\n    \"method\": \"GET\"\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"id\": \"meetkai:my-custom-chat-v1\",\n  \"provider\": \"openai-compatible\",\n  \"modelId\": \"my-custom-chat-v1\",\n  \"displayName\": \"My Custom Chat v1\",\n  \"baseUrl\": \"https://models.example.com/v1\",\n  \"apiFormat\": \"responses\",\n  \"created\": 1704067200,\n  \"auth\": {\n    \"type\": \"api-key\",\n    \"value\": \"sk-your-provider-api-key\"\n  },\n  \"capabilities\": {\n    \"modalities\": {\n      \"input\": [\n        \"text\"\n      ],\n      \"output\": [\n        \"text\"\n      ]\n    },\n    \"reasoning\": true,\n    \"supportsTemperature\": true,\n    \"supportsTopP\": true\n  },\n  \"contextWindow\": 131072,\n  \"rpm\": 120,\n  \"defaultParams\": {\n    \"temperature\": 0.2,\n    \"topP\": 0.95\n  },\n  \"hidden\": false,\n  \"healthCheck\": {\n    \"url\": \"https://models.example.com/health\",\n    \"method\": \"GET\"\n  }\n}"

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

{
  "id": "meetkai:my-custom-chat-v1",
  "provider": "openai-compatible",
  "model_id": "my-custom-chat-v1",
  "source": "database",
  "immutable": false,
  "definition": {
    "id": "meetkai:my-custom-chat-v1",
    "provider": "openai-compatible",
    "modelId": "my-custom-chat-v1",
    "displayName": "My Custom Chat v1",
    "baseUrl": "https://models.example.com/v1",
    "apiFormat": "responses",
    "created": 1704067200,
    "auth": {
      "type": "api-key",
      "value": "****"
    },
    "capabilities": {
      "modalities": {
        "input": [
          "text"
        ],
        "output": [
          "text"
        ]
      },
      "reasoning": true,
      "supportsTemperature": true,
      "supportsTopP": true
    },
    "contextWindow": 131072,
    "rpm": 120,
    "defaultParams": {
      "temperature": 0.2,
      "topP": 0.95
    },
    "hidden": false,
    "healthCheck": {
      "mode": "preflight",
      "path": "/models"
    },
    "source": "database",
    "immutable": false
  },
  "health": {
    "is_available": true,
    "last_health_check": 1704067200000,
    "error": null
  },
  "created_at": 1704067200000,
  "updated_at": 1704153600000
}