curl --request POST \
  --url https://openapi.enginy.ai/v1/ai-variables/ai-messages \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "<string>",
  "toneId": "<string>",
  "model": "<string>",
  "outputLength": 5,
  "prompt": "<string>",
  "description": "<string>",
  "splitMessages": true,
  "folderId": 123,
  "customPromptFieldValues": [
    {
      "customPromptFieldId": "<string>",
      "value": "<string>"
    }
  ]
}
'

import requests

url = "https://openapi.enginy.ai/v1/ai-variables/ai-messages"

payload = {
    "name": "<string>",
    "toneId": "<string>",
    "model": "<string>",
    "outputLength": 5,
    "prompt": "<string>",
    "description": "<string>",
    "splitMessages": True,
    "folderId": 123,
    "customPromptFieldValues": [
        {
            "customPromptFieldId": "<string>",
            "value": "<string>"
        }
    ]
}
headers = {
    "x-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-api-key': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    name: '<string>',
    toneId: '<string>',
    model: '<string>',
    outputLength: 5,
    prompt: '<string>',
    description: '<string>',
    splitMessages: true,
    folderId: 123,
    customPromptFieldValues: [{customPromptFieldId: '<string>', value: '<string>'}]
  })
};

fetch('https://openapi.enginy.ai/v1/ai-variables/ai-messages', 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://openapi.enginy.ai/v1/ai-variables/ai-messages",
  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([
    'name' => '<string>',
    'toneId' => '<string>',
    'model' => '<string>',
    'outputLength' => 5,
    'prompt' => '<string>',
    'description' => '<string>',
    'splitMessages' => true,
    'folderId' => 123,
    'customPromptFieldValues' => [
        [
                'customPromptFieldId' => '<string>',
                'value' => '<string>'
        ]
    ]
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-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://openapi.enginy.ai/v1/ai-variables/ai-messages"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"toneId\": \"<string>\",\n  \"model\": \"<string>\",\n  \"outputLength\": 5,\n  \"prompt\": \"<string>\",\n  \"description\": \"<string>\",\n  \"splitMessages\": true,\n  \"folderId\": 123,\n  \"customPromptFieldValues\": [\n    {\n      \"customPromptFieldId\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}")

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

	req.Header.Add("x-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://openapi.enginy.ai/v1/ai-variables/ai-messages")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"toneId\": \"<string>\",\n  \"model\": \"<string>\",\n  \"outputLength\": 5,\n  \"prompt\": \"<string>\",\n  \"description\": \"<string>\",\n  \"splitMessages\": true,\n  \"folderId\": 123,\n  \"customPromptFieldValues\": [\n    {\n      \"customPromptFieldId\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://openapi.enginy.ai/v1/ai-variables/ai-messages")

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

request = Net::HTTP::Post.new(url)
request["x-api-key"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"name\": \"<string>\",\n  \"toneId\": \"<string>\",\n  \"model\": \"<string>\",\n  \"outputLength\": 5,\n  \"prompt\": \"<string>\",\n  \"description\": \"<string>\",\n  \"splitMessages\": true,\n  \"folderId\": 123,\n  \"customPromptFieldValues\": [\n    {\n      \"customPromptFieldId\": \"<string>\",\n      \"value\": \"<string>\"\n    }\n  ]\n}"

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

{
  "status": "success",
  "message": "<string>",
  "data": {}
}