curl --request PATCH \
  --url https://api.alpharun.com/api/v1/job-types/{JOB_TYPE_ID} \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "name": "Store Manager",
  "job_description": "<job_description>",
  "ai_interviewer_guidance": "Be friendly and professional",
  "resume_collection_type": "before_interview",
  "should_force_fullscreen": true,
  "should_record_video": true
}
'

import requests

url = "https://api.alpharun.com/api/v1/job-types/{JOB_TYPE_ID}"

payload = {
    "name": "Store Manager",
    "job_description": "<job_description>",
    "ai_interviewer_guidance": "Be friendly and professional",
    "resume_collection_type": "before_interview",
    "should_force_fullscreen": True,
    "should_record_video": True
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'PATCH',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: 'Store Manager',
    job_description: '<job_description>',
    ai_interviewer_guidance: 'Be friendly and professional',
    resume_collection_type: 'before_interview',
    should_force_fullscreen: true,
    should_record_video: true
  })
};

fetch('https://api.alpharun.com/api/v1/job-types/{JOB_TYPE_ID}', 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.alpharun.com/api/v1/job-types/{JOB_TYPE_ID}",
  CURLOPT_RETURNTRANSFER => true,
  CURLOPT_ENCODING => "",
  CURLOPT_MAXREDIRS => 10,
  CURLOPT_TIMEOUT => 30,
  CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
  CURLOPT_CUSTOMREQUEST => "PATCH",
  CURLOPT_POSTFIELDS => json_encode([
    'name' => 'Store Manager',
    'job_description' => '<job_description>',
    'ai_interviewer_guidance' => 'Be friendly and professional',
    'resume_collection_type' => 'before_interview',
    'should_force_fullscreen' => true,
    'should_record_video' => 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.alpharun.com/api/v1/job-types/{JOB_TYPE_ID}"

	payload := strings.NewReader("{\n  \"name\": \"Store Manager\",\n  \"job_description\": \"<job_description>\",\n  \"ai_interviewer_guidance\": \"Be friendly and professional\",\n  \"resume_collection_type\": \"before_interview\",\n  \"should_force_fullscreen\": true,\n  \"should_record_video\": true\n}")

	req, _ := http.NewRequest("PATCH", 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.patch("https://api.alpharun.com/api/v1/job-types/{JOB_TYPE_ID}")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Store Manager\",\n  \"job_description\": \"<job_description>\",\n  \"ai_interviewer_guidance\": \"Be friendly and professional\",\n  \"resume_collection_type\": \"before_interview\",\n  \"should_force_fullscreen\": true,\n  \"should_record_video\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.alpharun.com/api/v1/job-types/{JOB_TYPE_ID}")

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

request = Net::HTTP::Patch.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"Store Manager\",\n  \"job_description\": \"<job_description>\",\n  \"ai_interviewer_guidance\": \"Be friendly and professional\",\n  \"resume_collection_type\": \"before_interview\",\n  \"should_force_fullscreen\": true,\n  \"should_record_video\": true\n}"

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

{
  "data": {
    "job_type": {
      "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
      "name": "<string>",
      "job_description": "<string>",
      "ai_interviewer_guidance": "<string>",
      "qualifications": [
        "<string>"
      ],
      "should_force_fullscreen": true,
      "should_record_video": true
    }
  }
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}

{
  "error": 123,
  "message": "<string>"
}