Running a script to onboard a batch of agents from a CSV file. I’m using the Genesys Cloud Python SDK to loop through rows and call create_user.
The logic looks fine locally, but once I hit about 50 users, the API starts throwing 429 Too Many Requests. I’ve got a basic retry loop with time.sleep(2), but it’s still failing randomly.
for row in csv_data:
user_body = {
"name": row['name'],
"email": row['email'],
"username": row['username'],
"roles": [{"id": "agent_id"}]
}
try:
response = client.users_api.create_user(body=user_body)
except Exception as e:
if "429" in str(e):
time.sleep(5)
# retry logic here
Is there a better pattern for bulk operations in the SDK? I know the REST API has a bulk endpoint, but the docs are thin on how to map that to the Python client objects without hitting the wall again. Just want to get this done without managing my own backoff algorithm.
That naive retry loop isn’t enough. The 429s are hitting because you’re ignoring the Retry-After header and just sleeping blindly. The SDK has built-in handling for this, but you need to configure the client correctly before you start the loop.
Here’s how I set up the client to handle retries automatically. It respects the backoff policies Genesys sends back.
from platformclientv2 import Configuration, PlatformApiClient
config = Configuration()
config.host = "https://api.mypurecloud.com"
# Enable automatic retries with exponential backoff
config.enable_retries = True
config.max_retries = 5
config.retry_backoff_factor = 0.5
api_client = PlatformApiClient(config)
user_api = UserApi(api_client)
# Now your create_user calls will auto-retry on 429/5xx
user_api.create_user(body=user_body)
Also, check your auth token. If you’re using a client credentials grant, make sure the scope includes user:write. Missing scopes can sometimes trigger weird error responses that look like rate limits. Don’t forget to stagger your initial requests if you’re spawning multiple threads.