curl --request POST \
  --url https://be.datagol.ai/ai/api/v2/messages/streaming \
  --header 'Content-Type: application/json' \
  --header 'x-auth-token: <api-key>' \
  --data '
{
  "agentType": "CustomAgent",
  "type": "CustomAgent",
  "conversationId": "ae5ee879-e967-45e4-bca0-c6c78d10bd23",
  "message": "Summarise the data",
  "parameters": {
    "customAgentId": "1526da2b-3264-4118-b141-87857369b0bd"
  },
  "selectedLlmModel": "gpt-5.2"
}
'

import requests

url = "https://be.datagol.ai/ai/api/v2/messages/streaming"

payload = {
    "agentType": "CustomAgent",
    "type": "CustomAgent",
    "conversationId": "ae5ee879-e967-45e4-bca0-c6c78d10bd23",
    "message": "Summarise the data",
    "parameters": { "customAgentId": "1526da2b-3264-4118-b141-87857369b0bd" },
    "selectedLlmModel": "gpt-5.2"
}
headers = {
    "x-auth-token": "<api-key>",
    "Content-Type": "application/json"
}

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

print(response.text)

const options = {
  method: 'POST',
  headers: {'x-auth-token': '<api-key>', 'Content-Type': 'application/json'},
  body: JSON.stringify({
    agentType: 'CustomAgent',
    type: 'CustomAgent',
    conversationId: 'ae5ee879-e967-45e4-bca0-c6c78d10bd23',
    message: 'Summarise the data',
    parameters: {customAgentId: '1526da2b-3264-4118-b141-87857369b0bd'},
    selectedLlmModel: 'gpt-5.2'
  })
};

fetch('https://be.datagol.ai/ai/api/v2/messages/streaming', 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://be.datagol.ai/ai/api/v2/messages/streaming",
  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([
    'agentType' => 'CustomAgent',
    'type' => 'CustomAgent',
    'conversationId' => 'ae5ee879-e967-45e4-bca0-c6c78d10bd23',
    'message' => 'Summarise the data',
    'parameters' => [
        'customAgentId' => '1526da2b-3264-4118-b141-87857369b0bd'
    ],
    'selectedLlmModel' => 'gpt-5.2'
  ]),
  CURLOPT_HTTPHEADER => [
    "Content-Type: application/json",
    "x-auth-token: <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://be.datagol.ai/ai/api/v2/messages/streaming"

	payload := strings.NewReader("{\n  \"agentType\": \"CustomAgent\",\n  \"type\": \"CustomAgent\",\n  \"conversationId\": \"ae5ee879-e967-45e4-bca0-c6c78d10bd23\",\n  \"message\": \"Summarise the data\",\n  \"parameters\": {\n    \"customAgentId\": \"1526da2b-3264-4118-b141-87857369b0bd\"\n  },\n  \"selectedLlmModel\": \"gpt-5.2\"\n}")

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

	req.Header.Add("x-auth-token", "<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://be.datagol.ai/ai/api/v2/messages/streaming")
  .header("x-auth-token", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"agentType\": \"CustomAgent\",\n  \"type\": \"CustomAgent\",\n  \"conversationId\": \"ae5ee879-e967-45e4-bca0-c6c78d10bd23\",\n  \"message\": \"Summarise the data\",\n  \"parameters\": {\n    \"customAgentId\": \"1526da2b-3264-4118-b141-87857369b0bd\"\n  },\n  \"selectedLlmModel\": \"gpt-5.2\"\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://be.datagol.ai/ai/api/v2/messages/streaming")

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

request = Net::HTTP::Post.new(url)
request["x-auth-token"] = '<api-key>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"agentType\": \"CustomAgent\",\n  \"type\": \"CustomAgent\",\n  \"conversationId\": \"ae5ee879-e967-45e4-bca0-c6c78d10bd23\",\n  \"message\": \"Summarise the data\",\n  \"parameters\": {\n    \"customAgentId\": \"1526da2b-3264-4118-b141-87857369b0bd\"\n  },\n  \"selectedLlmModel\": \"gpt-5.2\"\n}"

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