curl --request POST \
  --url https://api.trymaitai.ai/api/v1/finetune-runs \
  --header 'Content-Type: application/json' \
  --header 'X-Maitai-Api-Key: <api-key>' \
  --data '
{
  "display_name": "Support SFT v1",
  "base_model": "gpt-4o-mini-2024-07-18",
  "status": "PENDING",
  "meta": {
    "training_method": "SFT",
    "sub_dataset_id": 20,
    "auto_test_set_ids": [
      15
    ],
    "evaluation_criteria_ids": [
      3
    ]
  }
}
'

import requests

url = "https://api.trymaitai.ai/api/v1/finetune-runs"

payload = {
    "display_name": "Support SFT v1",
    "base_model": "gpt-4o-mini-2024-07-18",
    "status": "PENDING",
    "meta": {
        "training_method": "SFT",
        "sub_dataset_id": 20,
        "auto_test_set_ids": [15],
        "evaluation_criteria_ids": [3]
    }
}
headers = {
    "X-Maitai-Api-Key": "<api-key>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.text)

const options = {
  method: 'POST',
  headers: {'X-Maitai-Api-Key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    display_name: 'Support SFT v1',
    base_model: 'gpt-4o-mini-2024-07-18',
    status: 'PENDING',
    meta: {
      training_method: 'SFT',
      sub_dataset_id: 20,
      auto_test_set_ids: [15],
      evaluation_criteria_ids: [3]
    }
  })
};

fetch('https://api.trymaitai.ai/api/v1/finetune-runs', 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.trymaitai.ai/api/v1/finetune-runs",
  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([
    'display_name' => 'Support SFT v1',
    'base_model' => 'gpt-4o-mini-2024-07-18',
    'status' => 'PENDING',
    'meta' => [
        'training_method' => 'SFT',
        'sub_dataset_id' => 20,
        'auto_test_set_ids' => [
                15
        ],
        'evaluation_criteria_ids' => [
                3
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "X-Maitai-Api-Key: <api-key>"
  ],
]);

$response = curl_exec($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://api.trymaitai.ai/api/v1/finetune-runs"

	payload := strings.NewReader("{\n  \"display_name\": \"Support SFT v1\",\n  \"base_model\": \"gpt-4o-mini-2024-07-18\",\n  \"status\": \"PENDING\",\n  \"meta\": {\n    \"training_method\": \"SFT\",\n    \"sub_dataset_id\": 20,\n    \"auto_test_set_ids\": [\n      15\n    ],\n    \"evaluation_criteria_ids\": [\n      3\n    ]\n  }\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("X-Maitai-Api-Key", "<api-key>")
	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://api.trymaitai.ai/api/v1/finetune-runs")
  .header("X-Maitai-Api-Key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"display_name\": \"Support SFT v1\",\n  \"base_model\": \"gpt-4o-mini-2024-07-18\",\n  \"status\": \"PENDING\",\n  \"meta\": {\n    \"training_method\": \"SFT\",\n    \"sub_dataset_id\": 20,\n    \"auto_test_set_ids\": [\n      15\n    ],\n    \"evaluation_criteria_ids\": [\n      3\n    ]\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.trymaitai.ai/api/v1/finetune-runs")

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

request = Net::HTTP::Post.new(url)
request["X-Maitai-Api-Key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"display_name\": \"Support SFT v1\",\n  \"base_model\": \"gpt-4o-mini-2024-07-18\",\n  \"status\": \"PENDING\",\n  \"meta\": {\n    \"training_method\": \"SFT\",\n    \"sub_dataset_id\": 20,\n    \"auto_test_set_ids\": [\n      15\n    ],\n    \"evaluation_criteria_ids\": [\n      3\n    ]\n  }\n}"

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

{
  "data": {
    "id": 61,
    "dataset_id": 20,
    "base_model": "gpt-4o-mini-2024-07-18",
    "status": "PENDING"
  }
}