Platform SDK Python: Handling Rate Limits During Bulk User Creation from CSV

Why does this setting in the Genesys Cloud Python SDK not automatically handle 429 Too Many Requests errors when I attempt to bulk-create users via a loop?

I am building a utility script (node background, but using the Python SDK genesys-cloud-platform-client v2.0 for this specific task) to onboard agents from a CSV file. My current approach iterates through the rows and calls users_api.post_users() for each entry.

from genesyscloud.platform.client import GenesysCloudClient

def create_users_from_csv(csv_path):
 client = GenesysCloudClient.from_file_config()
 users_api = client.users_api
 
 with open(csv_path, 'r') as f:
 for line in f:
 name, email = line.split(',')
 body = {
 "name": name,
 "email": email,
 "phoneNumbers": [{"value": "ext123", "type": "work"}]
 }
 try:
 users_api.post_users(body=body)
 except Exception as e:
 print(f"Failed: {e}")

The script fails after ~50 users with HTTP 429. I know the REST API has rate limits, but I expected the SDK to include retry logic or exponential backoff. Is there a specific configuration flag I missed, or do I need to implement my own async queue with asyncio to throttle these requests? Running on macOS with Python 3.11.