curl --request POST \
  --url https://pria.praxislxp.com/api/auth/generate-prompt-preview \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "questions": [
    {
      "question": "What is your area of expertise?",
      "answer": "Machine learning and neural networks",
      "code": "EXPERTISE",
      "objectif": "<string>"
    }
  ],
  "ainame": "Dr. Smith"
}
'

import requests

url = "https://pria.praxislxp.com/api/auth/generate-prompt-preview"

payload = {
    "questions": [
        {
            "question": "What is your area of expertise?",
            "answer": "Machine learning and neural networks",
            "code": "EXPERTISE",
            "objectif": "<string>"
        }
    ],
    "ainame": "Dr. Smith"
}
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({
    questions: [
      {
        question: 'What is your area of expertise?',
        answer: 'Machine learning and neural networks',
        code: 'EXPERTISE',
        objectif: '<string>'
      }
    ],
    ainame: 'Dr. Smith'
  })
};

fetch('https://pria.praxislxp.com/api/auth/generate-prompt-preview', 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://pria.praxislxp.com/api/auth/generate-prompt-preview",
  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([
    'questions' => [
        [
                'question' => 'What is your area of expertise?',
                'answer' => 'Machine learning and neural networks',
                'code' => 'EXPERTISE',
                'objectif' => '<string>'
        ]
    ],
    'ainame' => 'Dr. Smith'
  ]),
  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://pria.praxislxp.com/api/auth/generate-prompt-preview"

	payload := strings.NewReader("{\n  \"questions\": [\n    {\n      \"question\": \"What is your area of expertise?\",\n      \"answer\": \"Machine learning and neural networks\",\n      \"code\": \"EXPERTISE\",\n      \"objectif\": \"<string>\"\n    }\n  ],\n  \"ainame\": \"Dr. Smith\"\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://pria.praxislxp.com/api/auth/generate-prompt-preview")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"questions\": [\n    {\n      \"question\": \"What is your area of expertise?\",\n      \"answer\": \"Machine learning and neural networks\",\n      \"code\": \"EXPERTISE\",\n      \"objectif\": \"<string>\"\n    }\n  ],\n  \"ainame\": \"Dr. Smith\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://pria.praxislxp.com/api/auth/generate-prompt-preview")

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  \"questions\": [\n    {\n      \"question\": \"What is your area of expertise?\",\n      \"answer\": \"Machine learning and neural networks\",\n      \"code\": \"EXPERTISE\",\n      \"objectif\": \"<string>\"\n    }\n  ],\n  \"ainame\": \"Dr. Smith\"\n}"

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

{
  "success": true,
  "data": {
    "data": "<string>"
  }
}