Is it possible to configure dynamic rate limit handling for bulk analytics queries in AppFoundry? Our Premium App processes message volume metrics for enterprise clients across multiple Genesys Cloud organizations. We are hitting 429 Too Many Requests errors when polling the /api/v2/analytics/conversations/metrics endpoint with granular segment filters. The integration uses multi-org OAuth tokens to fetch data for the last 24 hours, aggregating metrics for digital channels specifically. The current retry logic fails because the X-RateLimit-Reset header indicates a cooldown period that exceeds our application’s timeout threshold. We are using the Genesys Cloud Platform SDK for Node.js version 4.2.1. The issue persists even when staggering requests by organization ID. The error payload returns a standard rate limit exceeded message, but the underlying cause appears to be the volume of segment filters applied per request. We need a strategy to batch these requests or adjust the polling interval without losing data granularity. The environment is production, and the impact is significant for our dashboard rendering times. Any best practices for handling these limits in a multi-org context would be appreciated.