curl --request POST \
  --url https://api.example.com/api/finetune/jobs \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "dataset_job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "adapter_type": "qlora",
  "hyperparameters": {},
  "gpu_count": 32,
  "trigger_now": true
}
'

import requests

url = "https://api.example.com/api/finetune/jobs"

payload = {
    "dataset_job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
    "name": "<string>",
    "adapter_type": "qlora",
    "hyperparameters": {},
    "gpu_count": 32,
    "trigger_now": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    dataset_job_id: '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    name: '<string>',
    adapter_type: 'qlora',
    hyperparameters: {},
    gpu_count: 32,
    trigger_now: true
  })
};

fetch('https://api.example.com/api/finetune/jobs', 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.example.com/api/finetune/jobs",
  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([
    'dataset_job_id' => '3c90c3cc-0d44-4b50-8888-8dd25736052a',
    'name' => '<string>',
    'adapter_type' => 'qlora',
    'hyperparameters' => [
        
    ],
    'gpu_count' => 32,
    'trigger_now' => true
  ]),
  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://api.example.com/api/finetune/jobs"

	payload := strings.NewReader("{\n  \"dataset_job_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"name\": \"<string>\",\n  \"adapter_type\": \"qlora\",\n  \"hyperparameters\": {},\n  \"gpu_count\": 32,\n  \"trigger_now\": true\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://api.example.com/api/finetune/jobs")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"dataset_job_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"name\": \"<string>\",\n  \"adapter_type\": \"qlora\",\n  \"hyperparameters\": {},\n  \"gpu_count\": 32,\n  \"trigger_now\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.example.com/api/finetune/jobs")

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  \"dataset_job_id\": \"3c90c3cc-0d44-4b50-8888-8dd25736052a\",\n  \"name\": \"<string>\",\n  \"adapter_type\": \"qlora\",\n  \"hyperparameters\": {},\n  \"gpu_count\": 32,\n  \"trigger_now\": true\n}"

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

{
  "job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "dataset_job_id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "domain": "<string>",
  "base_model": "<string>",
  "owner": "<string>",
  "adapter_type": "lora",
  "status": "ready",
  "created_at": "2023-11-07T05:31:56Z",
  "updated_at": "2023-11-07T05:31:56Z",
  "hyperparameters": {},
  "gpu_resources": {},
  "rendered_dag": "<string>",
  "airflow_dag_id": "<string>",
  "airflow_dag_url": "<string>",
  "mlflow_run_id": "<string>",
  "registered_model_name": "<string>",
  "model_version": "<string>",
  "error_message": "<string>"
}

{
  "error": "<string>",
  "code": 500
}

{
  "error": "<string>",
  "code": 500
}

{
  "error": "<string>",
  "code": 500
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>",
      "input": "<unknown>",
      "ctx": {}
    }
  ]
}

{
  "error": "<string>",
  "code": 500
}