AppFoundry Premium App: 429 Too Many Requests on /api/v2/architect/flows despite Custom Headers

We are hitting a wall with rate limiting on our latest AppFoundry integration. We have a premium app that syncs custom object data with Architect flows, and despite implementing exponential backoff and respecting the standard 10 req/sec limit per tenant, we are consistently getting 429 Too Many Requests errors on GET /api/v2/architect/flows and subsequent POST updates.

Our implementation uses the standard OAuth client credentials flow for service-to-service auth. We are passing the X-Genesys-Client header with our unique app ID, and we have confirmed with our account manager that our app is registered correctly in the AppFoundry portal. The errors occur sporadically, usually when processing bulk updates for large enterprise clients with 500+ active flows.

Here is the response header snippet:

Retry-After: 1
X-Rate-Limit-Remaining: 0
X-Rate-Limit-Reset: 1715432000

We have tried throttling our requests to 5 req/sec, but the 429s persist. Is there a hidden global rate limit for AppFoundry apps that differs from the standard tenant limit? Or is there a specific header or configuration we are missing to ensure our requests are bucketed correctly under our app’s quota? We are using the Node.js SDK v4.2.1. Any insights from other partners dealing with high-volume Architect API usage would be appreciated.

The 429 errors on /api/v2/architect/flows usually stem from how the platform counts requests against the tenant-wide limit, not just the endpoint limit. When syncing custom objects, bulk operations can trigger multiple internal calls per flow update.

For legal discovery exports, we see similar throttling when bulk jobs hit the S3 integration limits. The fix is often in the request batching and header handling.

First, ensure your Retry-After header is parsed correctly. The 429 response includes a Retry-After value in seconds. Ignoring this and using a fixed backoff will cause repeated failures.

Second, check the X-Genesys-Request-Id header. Including a unique request ID helps the platform deduplicate retries. If your app retries the same request ID within the window, it counts as a new request, triggering the 429 again.

Here is a Python snippet for handling the retry logic:

import requests
import time

def fetch_flows(session, url, headers):
 headers['X-Genesys-Request-Id'] = str(uuid.uuid4())
 while True:
 response = session.get(url, headers=headers)
 if response.status_code == 200:
 return response.json()
 elif response.status_code == 429:
 retry_after = int(response.headers.get('Retry-After', 5))
 time.sleep(retry_after)
 # Update request ID for the next attempt
 headers['X-Genesys-Request-Id'] = str(uuid.uuid4())
 else:
 response.raise_for_status()

Also, consider reducing the frequency of flow checks. If the app only needs updated flows, use the last_modified query parameter to filter results. This reduces the payload size and the number of flows processed per request.

Finally, verify the OAuth token scope. Sometimes, a restricted scope causes the API to return 429s instead of 403s, though this is rare. Check the audit trail for the specific user or service account making the calls.

This approach worked for our bulk export jobs when hitting rate limits during legal hold updates.