Python SDK bulk user creation hitting rate limits despite backoff

General Discussion
1

Trying to bulk-create users from a CSV using the Genesys Cloud Python SDK. The script works fine for small batches, but once I push it past ~50 users, the API starts throwing 429s. I’ve implemented a basic exponential backoff, but it feels like the SDK’s internal retry logic is fighting my custom sleep or something. The script hangs indefinitely after a few failures.

Here’s the gist of the loop:

from genesyscloud import PlatformClientConfiguration, UsersApi
import csv
import time

config = PlatformClientConfiguration(client_id, client_secret)
users_api = UsersApi(config)

def create_user(user_data):
 try:
 resp = users_api.post_users(body=user_data)
 return resp
 except Exception as e:
 if e.status == 429:
 wait_time = 2 ** e.retry_after or 5
 time.sleep(wait_time)
 return create_user(user_data)
 raise

with open('users.csv') as f:
 reader = csv.DictReader(f)
 for row in reader:
 create_user(row)

Tried these things:

  • Checking the Retry-After header in the 429 response. It’s usually 5-10 seconds.
  • Increasing the initial sleep to 10s. Doesn’t help much.
  • Looking at the SDK source. Seems like PlatformClientConfiguration handles retries, but I’m not sure if I can disable it to handle it manually.

The Retry-After value in the exception object is sometimes None, which breaks my logic. Is there a better way to handle this in the SDK? Or am I missing a config option to throttle requests properly?