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

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

async function run() {
  const result = await sdk.tracking.runs.create({
    requestBody: {
      experimentId: "<id>",
    },
  });

  console.log(result);
}

run();

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

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

var res = await sdk.Tracking.Runs.CreateAsync(body: new TrackingRunsCreateRequestBody() {
    ExperimentId = "<id>",
});

// handle response

from meetkai_mka1 import SDK


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

    res = sdk.tracking.runs.create(experiment_id="<id>")

    # Handle response
    print(res)

curl --request POST \
  --url https://apigw.mka1.com/api/2.0/mlflow/runs/create \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "experiment_id": "<string>",
  "start_time": 123,
  "run_name": "<string>",
  "tags": [
    {
      "key": "<string>",
      "value": "<string>"
    }
  ]
}
'

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    experiment_id: '<string>',
    start_time: 123,
    run_name: '<string>',
    tags: [{key: '<string>', value: '<string>'}]
  })
};

fetch('https://apigw.mka1.com/api/2.0/mlflow/runs/create', 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/2.0/mlflow/runs/create",
  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([
    'experiment_id' => '<string>',
    'start_time' => 123,
    'run_name' => '<string>',
    'tags' => [
        [
                'key' => '<string>',
                'value' => '<string>'
        ]
    ]
  ]),
  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/2.0/mlflow/runs/create"

	payload := strings.NewReader("{\n  \"experiment_id\": \"<string>\",\n  \"start_time\": 123,\n  \"run_name\": \"<string>\",\n  \"tags\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\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/2.0/mlflow/runs/create")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"experiment_id\": \"<string>\",\n  \"start_time\": 123,\n  \"run_name\": \"<string>\",\n  \"tags\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://apigw.mka1.com/api/2.0/mlflow/runs/create")

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  \"experiment_id\": \"<string>\",\n  \"start_time\": 123,\n  \"run_name\": \"<string>\",\n  \"tags\": [\n    {\n      \"key\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}"

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

{
  "run": {
    "info": {
      "run_id": "<string>",
      "experiment_id": "<string>",
      "run_uuid": "<string>",
      "run_name": "<string>",
      "user_id": "<string>",
      "status": "RUNNING",
      "start_time": 123,
      "end_time": 123,
      "artifact_uri": "<string>",
      "lifecycle_stage": "<string>"
    },
    "data": {
      "metrics": [
        {
          "key": "<string>",
          "value": 123,
          "timestamp": 123,
          "step": 123
        }
      ],
      "params": [
        {
          "key": "<string>",
          "value": "<string>"
        }
      ],
      "tags": [
        {
          "key": "<string>",
          "value": "<string>"
        }
      ]
    },
    "inputs": {
      "dataset_inputs": [
        {
          "dataset": {
            "name": "<string>",
            "digest": "<string>",
            "source_type": "<string>",
            "source": "<string>",
            "schema": "<string>",
            "profile": "<string>"
          },
          "tags": [
            {
              "key": "<string>",
              "value": "<string>"
            }
          ]
        }
      ]
    }
  }
}