curl --request POST \
  --url https://api.xpander.ai/v1/agents/{agent_id}/export \
  --header 'Content-Type: application/json' \
  --header 'x-api-key: <api-key>' \
  --data '
{
  "name": "<string>",
  "description": "<string>",
  "icon": "<string>",
  "with_knowledge_bases": true
}
'

import requests

url = "https://api.xpander.ai/v1/agents/{agent_id}/export"

payload = {
    "name": "<string>",
    "description": "<string>",
    "icon": "<string>",
    "with_knowledge_bases": True
}
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>',
    description: '<string>',
    icon: '<string>',
    with_knowledge_bases: true
  })
};

fetch('https://api.xpander.ai/v1/agents/{agent_id}/export', 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.xpander.ai/v1/agents/{agent_id}/export",
  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>',
    'description' => '<string>',
    'icon' => '<string>',
    'with_knowledge_bases' => true
  ]),
  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://api.xpander.ai/v1/agents/{agent_id}/export"

	payload := strings.NewReader("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"icon\": \"<string>\",\n  \"with_knowledge_bases\": true\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://api.xpander.ai/v1/agents/{agent_id}/export")
  .header("x-api-key", "<api-key>")
  .header("Content-Type", "application/json")
  .body("{\n  \"name\": \"<string>\",\n  \"description\": \"<string>\",\n  \"icon\": \"<string>\",\n  \"with_knowledge_bases\": true\n}")
  .asString();

require 'uri'
require 'net/http'

url = URI("https://api.xpander.ai/v1/agents/{agent_id}/export")

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  \"description\": \"<string>\",\n  \"icon\": \"<string>\",\n  \"with_knowledge_bases\": true\n}"

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

{
  "id": "<string>",
  "name": "<string>",
  "icon": "<string>",
  "description": "<string>",
  "organization_id": "<string>",
  "agent_definition": {
    "id": "<string>",
    "name": "<string>",
    "custom_functions": [
      {
        "id": "<string>",
        "name": "<string>",
        "input_schema": {},
        "source_code": "<string>",
        "description": "<string>",
        "technical_description": "<string>",
        "limits": {}
      }
    ],
    "connectors": [
      {
        "id": "<string>",
        "open_api_spec_id": "<string>",
        "name": "",
        "description": "",
        "general_params": [],
        "operation_ids": [],
        "operations_with_details": [],
        "cc_id": "<string>",
        "root_id": "<string>",
        "code": "<string>",
        "openapi_spec": "<string>",
        "is_custom": false,
        "owner": "<string>",
        "version": 123,
        "total_operations": 123,
        "operations_map": {}
      }
    ],
    "description": "",
    "unique_name": "",
    "icon": "🚀",
    "avatar": "male-avatar",
    "prompts": [],
    "source_nodes": [],
    "attached_tools": [],
    "access_scope": "organizational",
    "instructions": {
      "role": [],
      "goal": [],
      "general": ""
    },
    "oas": {},
    "graph": [],
    "status": "ACTIVE",
    "version": 1,
    "model_provider": "openai",
    "model_name": "gpt-5.2",
    "sub_agents": [],
    "knowledge_bases": []
  }
}

{
  "detail": [
    {
      "loc": [
        "<string>"
      ],
      "msg": "<string>",
      "type": "<string>"
    }
  ]
}