curl --request POST \
  --url https://be.datagol.ai/ai/api/v2/conversations \
  --header 'Content-Type: application/json' \
  --header 'x-auth-token: <api-key>' \
  --data '
{
  "name": "Data Summary Request",
  "agentType": "CustomAgent",
  "uiMetadata": {
    "type": "CustomAgent",
    "parameters": {
      "customAgentId": "1526da2b-3264-4118-b141-87857369b0bd"
    },
    "configuration": {
      "llmModel": "gpt-5.2"
    }
  }
}
'

import requests

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

payload = {
    "name": "Data Summary Request",
    "agentType": "CustomAgent",
    "uiMetadata": {
        "type": "CustomAgent",
        "parameters": { "customAgentId": "1526da2b-3264-4118-b141-87857369b0bd" },
        "configuration": { "llmModel": "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({
    name: 'Data Summary Request',
    agentType: 'CustomAgent',
    uiMetadata: {
      type: 'CustomAgent',
      parameters: {customAgentId: '1526da2b-3264-4118-b141-87857369b0bd'},
      configuration: {llmModel: 'gpt-5.2'}
    }
  })
};

fetch('https://be.datagol.ai/ai/api/v2/conversations', 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/conversations",
  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' => 'Data Summary Request',
    'agentType' => 'CustomAgent',
    'uiMetadata' => [
        'type' => 'CustomAgent',
        'parameters' => [
                'customAgentId' => '1526da2b-3264-4118-b141-87857369b0bd'
        ],
        'configuration' => [
                'llmModel' => '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/conversations"

	payload := strings.NewReader("{\n  \"name\": \"Data Summary Request\",\n  \"agentType\": \"CustomAgent\",\n  \"uiMetadata\": {\n    \"type\": \"CustomAgent\",\n    \"parameters\": {\n      \"customAgentId\": \"1526da2b-3264-4118-b141-87857369b0bd\"\n    },\n    \"configuration\": {\n      \"llmModel\": \"gpt-5.2\"\n    }\n  }\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/conversations")
  .header("x-auth-token", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"Data Summary Request\",\n  \"agentType\": \"CustomAgent\",\n  \"uiMetadata\": {\n    \"type\": \"CustomAgent\",\n    \"parameters\": {\n      \"customAgentId\": \"1526da2b-3264-4118-b141-87857369b0bd\"\n    },\n    \"configuration\": {\n      \"llmModel\": \"gpt-5.2\"\n    }\n  }\n}")
  .asString();

require 'uri'
require 'net/http'

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

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  \"name\": \"Data Summary Request\",\n  \"agentType\": \"CustomAgent\",\n  \"uiMetadata\": {\n    \"type\": \"CustomAgent\",\n    \"parameters\": {\n      \"customAgentId\": \"1526da2b-3264-4118-b141-87857369b0bd\"\n    },\n    \"configuration\": {\n      \"llmModel\": \"gpt-5.2\"\n    }\n  }\n}"

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

{
  "id": "3c90c3cc-0d44-4b50-8888-8dd25736052a",
  "name": "<string>",
  "scope": "<string>",
  "agentType": "<string>",
  "active": true
}