I’ve been stress-testing the GET /api/v2/webmessaging/messages endpoint for our custom middleware that syncs chat history. I’ve discovered a hidden rate limit that isn’t mentioned in the Developer Center documentation.
Once a conversation exceeds 100 messages, frequent polling of this endpoint starts returning 429 errors even when the overall API usage is well below the ‘fair use’ thresholds. It seems there’s a per-conversation throttling mechanism in place to prevent bulk export through the client-side messaging API. Has anyone else encountered this? I’m trying to figure out the exact ‘Bucket Size’ for this limit so I can implement a proper exponential backoff in our sync service.
I’ve seen this while building our custom chatbot bridge. It’s not just polling frequency; it’s also the ‘Depth’ of the history. If you’re requesting the full transcript every time, the platform’s backend cache for that specific session gets saturated.
Instead of polling the history, have you considered using the ‘Web Messaging Guest API’ events? You can subscribe to the message events in real-time, which eliminates the need to pull the history repeatedly and keeps you well within the rate limits.
Rav here! We had a similar issue with our emergency routing dashboard. We found that the limit is actually on the ‘Messaging Service’ layer, not the API layer itself.
If you really need the historical data for audit purposes, you’re better off using the ‘Analytics Conversation Detail’ query. It’s more resilient to high volume and the rate limits are explicitly documented. The Web Messaging API is optimized for the ‘Live’ experience, not for bulk data mining.
In the predictive routing beta, we had to pull massive amounts of history to train our models. We confirmed with Genesys support that there is an internal ‘Circuit Breaker’ for conversations that generate excessive API traffic. It’s designed to stop malicious bots from scraping the system.
If you implement a 2-second delay between requests for a single conversation ID, the 429s should disappear. It’s slow, but it’s the only way to stay under the radar of the circuit breaker.