Trying to understand the interaction between the Agent Scripting API rate limits and our custom failover logic implemented via Architect flows. We are managing fifteen BYOC trunks across APAC regions, and recent load testing indicates that bursty API calls are triggering circuit breakers more aggressively than anticipated. The documentation suggests implementing exponential backoff rather than static throttling, similar to how we handle SIP registration floods during peak hours.
The specific issue arises when we attempt to update trunk routing policies dynamically based on real-time agent availability. When the Agent Scripting API returns 429 Too Many Requests, our fallback mechanism kicks in, but it seems to be interfering with the SIP registration status of the associated SBCs. This results in intermittent call drops for inbound traffic routed through the secondary carrier.
Environment details:
- Genesys Cloud Org ID: [Redacted]
- API Version: v2
- SDK Version: 1.2.4 (Python)
- Architect Flow Version: 14.2
- BYOC Trunks: 15 (SIP 2.0, TLS 1.2)
- Carrier Failover: Enabled (Primary: Telstra, Secondary: Singtel)
We have observed that the latency between the API call and the actual routing update is increasing by approximately 200ms when rate limiting is active. This delay is causing the SIP INVITE messages to timeout before the routing policy is fully applied. The error logs show:
[ERROR] AgentScriptingAPI: Rate limit exceeded. Retrying in 500ms.
[WARN] SBCConnection: SIP registration timeout for trunk ID: TRK_APAC_04.
Could someone explain the expected behavior of the circuit breaker in this scenario? We are concerned that the aggressive backoff is causing unnecessary failovers, which are impacting our SLA metrics. Additionally, is there a recommended pattern for handling these retries without disrupting the SIP session state? We need to ensure that the trunk utilization metrics remain accurate during these transient failures.