curl --request POST \
  --url https://api.gptmaker.ai/v2/agent/{agentId}/conversation \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "contextId": "12345",
  "prompt": "oi qual seu nome?",
  "callbackUrl": "https://webhook.site",
  "onFinishCallback": "https://webhook.site",
  "chatName": "Fulano",
  "chatPicture": "https://foto.jpeg",
  "phone": "55xxxxxxxx"
}
'

import requests

url = "https://api.gptmaker.ai/v2/agent/{agentId}/conversation"

payload = {
    "contextId": "12345",
    "prompt": "oi qual seu nome?",
    "callbackUrl": "https://webhook.site",
    "onFinishCallback": "https://webhook.site",
    "chatName": "Fulano",
    "chatPicture": "https://foto.jpeg",
    "phone": "55xxxxxxxx"
}
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({
    contextId: '12345',
    prompt: 'oi qual seu nome?',
    callbackUrl: 'https://webhook.site',
    onFinishCallback: 'https://webhook.site',
    chatName: 'Fulano',
    chatPicture: 'https://foto.jpeg',
    phone: '55xxxxxxxx'
  })
};

fetch('https://api.gptmaker.ai/v2/agent/{agentId}/conversation', 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.gptmaker.ai/v2/agent/{agentId}/conversation",
  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([
    'contextId' => '12345',
    'prompt' => 'oi qual seu nome?',
    'callbackUrl' => 'https://webhook.site',
    'onFinishCallback' => 'https://webhook.site',
    'chatName' => 'Fulano',
    'chatPicture' => 'https://foto.jpeg',
    'phone' => '55xxxxxxxx'
  ]),
  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.gptmaker.ai/v2/agent/{agentId}/conversation"

	payload := strings.NewReader("{\n  \"contextId\": \"12345\",\n  \"prompt\": \"oi qual seu nome?\",\n  \"callbackUrl\": \"https://webhook.site\",\n  \"onFinishCallback\": \"https://webhook.site\",\n  \"chatName\": \"Fulano\",\n  \"chatPicture\": \"https://foto.jpeg\",\n  \"phone\": \"55xxxxxxxx\"\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.gptmaker.ai/v2/agent/{agentId}/conversation")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"contextId\": \"12345\",\n  \"prompt\": \"oi qual seu nome?\",\n  \"callbackUrl\": \"https://webhook.site\",\n  \"onFinishCallback\": \"https://webhook.site\",\n  \"chatName\": \"Fulano\",\n  \"chatPicture\": \"https://foto.jpeg\",\n  \"phone\": \"55xxxxxxxx\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.gptmaker.ai/v2/agent/{agentId}/conversation")

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  \"contextId\": \"12345\",\n  \"prompt\": \"oi qual seu nome?\",\n  \"callbackUrl\": \"https://webhook.site\",\n  \"onFinishCallback\": \"https://webhook.site\",\n  \"chatName\": \"Fulano\",\n  \"chatPicture\": \"https://foto.jpeg\",\n  \"phone\": \"55xxxxxxxx\"\n}"

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

{
  "message": "<string>",
  "images": [
    "<string>"
  ],
  "audios": [
    "<string>"
  ],
  "documents": [
    "<string>"
  ]
}

{
  "error": "<string>"
}

{
  "error": "<string>"
}