We are observing persistent 429 Too Many Requests errors when attempting to bulk-update Architect flow configurations via the Genesys Cloud Platform API. The integration is deployed within the AppFoundry ecosystem and utilizes multi-org OAuth scopes to manage customer environments. The specific endpoint triggering the issue is PUT /api/v2/architect/flows/{id}.
The implementation adheres to the documented rate limits for the Architect API, capping requests at 10 per second per organization. However, the error responses include the header Retry-After: 60, suggesting a global or account-level throttling mechanism that is not clearly defined in the standard documentation. The payload consists of serialized JSON representations of the flow objects, which have been validated against the schema using the Genesys Cloud SDK for Node.js (version 2.5.1).
The failure pattern appears to correlate with the initialization phase of our deployment script, where multiple flows are updated in parallel across different customer orgs. Each request is authenticated using a service account token with the necessary architect:flow:write permissions. The 429 errors occur immediately after the first batch of successful updates, indicating that the rate limit counter might be aggregating requests across the entire AppFoundry application rather than isolating them per tenant.
Has anyone encountered similar throttling behavior when managing Architect resources at scale? We are currently implementing an exponential backoff strategy, but the 60-second retry delay is significantly impacting deployment times. Is there a recommended approach for batching these updates or a specific header that can be used to optimize throughput? Additionally, are there any known limitations or best practices for handling concurrent API calls from AppFoundry applications that might not be explicitly documented?