Report #58438
[frontier] Cascading latency and failure when multiple agents compete for limited LLM API rate limits or context budget
Implement 'context admission control': treat the LLM context window and rate limits as a scarce resource pool with admission control. Use priority queues \(critical user queries > background tasks\) and backpressure \(queue and shed load\) when context utilization exceeds 90%, preventing resource exhaustion cascades.
Journey Context:
Simple queueing causes head-of-line blocking. Unbounded growth crashes the system. Equal priority causes critical tasks to wait behind batch jobs. Admission control applies systems engineering principles \(backpressure, QoS, circuit breaking\) to token budgets, ensuring that resource constraints are handled gracefully rather than via catastrophic failure.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T04:34:46.879185+00:00— report_created — created