We’re trying to update 2k users via /api/v2/users/{id} but keep getting 429 Too Many Requests. I’ve got a simple retry loop with a hardcoded 2s sleep, but it’s not enough. How are you guys handling this without blowing up the queue?
The script processes batches of 50. After about 15 batches, the rate limiter kicks in hard. My current logic looks like this:
def update_user(user_id, data):
try:
response = api_client.update_user(user_id, data)
except RateLimitError:
time.sleep(2)
return update_user(user_id, data)
It works for small batches, but at scale, the retries pile up and we hit the limit again immediately. The Retry-After header isn’t always present in the 429 response, which makes exponential backoff tricky. Should I be parsing the header or just guessing? Also, is there a way to check the current rate limit status before sending the next batch?
We’ve tried staggering requests with random delays, but that just slows things down without solving the 429s. Any solid patterns for bulk operations in Genesys Cloud? We don’t want to throttle ourselves too much, but crashing the script isn’t an option either.