Having some config trouble here as expected when attempting to pull historical routing metadata for a legal discovery request. The team requires a complete audit trail of predictive routing decisions for digital channel interactions over the last fiscal quarter. This is critical for chain of custody compliance in an ongoing litigation matter.
The environment is Genesys Cloud EU-1. We are using the REST API to query the Predictive Routing historical data endpoints. Specifically, we are hitting GET /api/v2/analytics/routing/queues/summary with a date range spanning three months. The initial requests succeed, but after approximately 500 records, the API begins returning HTTP 429 Too Many Requests errors. The Retry-After header is inconsistent, sometimes suggesting 10 seconds, other times 60 seconds. This is blocking our bulk export job which needs to process over 50,000 interactions.
We need to ensure the metadata includes the specific routing strategy applied (e.g., Longest Idle, Skill-Based) and the timestamp of the offer. The current throttling is causing our data action flow to fail, resulting in incomplete datasets that cannot be used for legal hold purposes. The S3 integration is configured correctly, as other export jobs are completing without issue. The problem appears isolated to the high-volume queries against the routing analytics endpoints.
- We have implemented exponential backoff logic in our script, increasing the delay from 1s to 60s, but the 429 errors persist after the initial burst of successful calls. The rate limit seems to be hit much faster than documented for our tier.
- We attempted to break the date range into smaller chunks (weekly intervals) to reduce the payload size per request, but the API still throttles us after a similar number of successful transactions, suggesting a global rate limit rather than a per-request size limit.
Can anyone clarify the specific rate limits for the Predictive Routing analytics endpoints in the EU-1 region? We need to adjust our export strategy to ensure we capture the full dataset without triggering throttling, which compromises the integrity of the legal discovery export.