Listar modelos disponíveis

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

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

async function run() {
  const result = await sdk.llm.models.list({});

  console.log(result);
}

run();

package main

import(
	"context"
	mka1 "github.com/MeetKai/mka1-sdks/go"
	"log"
)

func main() {
    ctx := context.Background()

    s := mka1.New(
        mka1.WithSecurity("<YOUR_BEARER_TOKEN_HERE>"),
    )

    res, err := s.Llm.Models.List(ctx, nil)
    if err != nil {
        log.Fatal(err)
    }
    if res.Object != nil {
        // handle response
    }
}

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

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

var res = await sdk.Llm.Models.ListAsync();

// handle response

from meetkai_mka1 import SDK


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

    res = sdk.llm.models.list()

    # Handle response
    print(res)

curl --request GET \
  --url https://apigw.mka1.com/api/v1/llm/models \
  --header 'Authorization: Bearer <token>'

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

fetch('https://apigw.mka1.com/api/v1/llm/models', 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",
  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;
}

HttpResponse<String> response = Unirest.get("https://apigw.mka1.com/api/v1/llm/models")
  .header("Authorization", "Bearer <token>")
  .asString();

require 'uri'
require 'net/http'

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

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

{
  "object": "list",
  "data": [
    {
      "id": "meetkai:functionary-urdu-mini-pak",
      "object": "model",
      "created": 1704067200,
      "owned_by": "meetkai",
      "model_type": "llm",
      "input_modalities": [
        "text"
      ],
      "output_modalities": [
        "text"
      ],
      "context_window": 32768,
      "max_image_resolution": null,
      "min_image_resolution": null,
      "embedding_dimension_range": null,
      "parameter_count": null,
      "active_parameter_count": null,
      "release_date": null,
      "serving_locations": null,
      "developer": null,
      "base_model": null,
      "weights": null,
      "license": null,
      "languages": null,
      "tts": null,
      "limitations": null,
      "lifecycle": {
        "status": "active",
        "deprecated_at": null,
        "retires_at": null,
        "successor": null
      },
      "capabilities": {
        "supports_temperature": true,
        "supports_top_p": true,
        "supports_reasoning": true,
        "supports_reasoning_effort": false,
        "supports_structured_outputs": null
      }
    },
    {
      "id": "meetkai:embedding",
      "object": "model",
      "created": 1704067200,
      "owned_by": "meetkai",
      "model_type": "embeddings",
      "input_modalities": [
        "text"
      ],
      "output_modalities": [
        "text"
      ],
      "context_window": 32000,
      "max_image_resolution": null,
      "min_image_resolution": null,
      "embedding_dimension_range": {
        "min": 1,
        "max": 4096,
        "default": 4096
      },
      "parameter_count": 7567295488,
      "active_parameter_count": null,
      "release_date": "2025-06-03",
      "serving_locations": [
        "aws:us-west-2"
      ],
      "developer": "MeetKai",
      "base_model": "publisher/base-model-8b",
      "weights": "closed",
      "license": "proprietary",
      "languages": [
        "en",
        "uk"
      ],
      "tts": null,
      "limitations": "Tuned for function calling; not a general assistant for long-form writing.",
      "lifecycle": {
        "status": "deprecated",
        "deprecated_at": "2026-10-01",
        "retires_at": "2027-01-01",
        "successor": "meetkai:functionary-v5"
      },
      "capabilities": {
        "supports_temperature": false,
        "supports_top_p": false,
        "supports_reasoning": false,
        "supports_reasoning_effort": false,
        "supports_structured_outputs": false
      }
    },
    {
      "id": "meetkai:speech",
      "object": "model",
      "created": 1704067200,
      "owned_by": "meetkai",
      "model_type": "text_to_speech",
      "input_modalities": [
        "text"
      ],
      "output_modalities": [
        "audio"
      ],
      "context_window": null,
      "max_image_resolution": null,
      "min_image_resolution": null,
      "embedding_dimension_range": null,
      "parameter_count": null,
      "active_parameter_count": null,
      "release_date": null,
      "serving_locations": null,
      "developer": null,
      "base_model": null,
      "weights": null,
      "license": null,
      "languages": [
        "en",
        "pt"
      ],
      "tts": {
        "default_voice": {
          "en": "sophia",
          "pt": "clara"
        },
        "voices": [
          {
            "id": "sophia",
            "name": "Sophia",
            "language": "en"
          },
          {
            "id": "clara",
            "name": "Clara",
            "language": "pt"
          }
        ]
      },
      "limitations": null,
      "lifecycle": {
        "status": "active",
        "deprecated_at": null,
        "retires_at": null,
        "successor": null
      },
      "capabilities": {
        "supports_temperature": false,
        "supports_top_p": false,
        "supports_reasoning": false,
        "supports_reasoning_effort": false,
        "supports_structured_outputs": null
      }
    }
  ]
}