Report #77454
[research] Scaling up agent deployment causes unpredictable cost explosions and latency spikes
Run an eval-before-scaling gate: execute a regression suite of representative tasks in a sandbox, measuring total token consumption and p95 latency per task, before allowing production traffic shifts.
Journey Context:
Agent costs scale non-linearly with complexity. A minor prompt change can cause a massive token increase if it induces a new failure mode that triggers retry loops. You cannot rely on unit tests; you need a benchmark suite that tracks cost and latency per task as a first-class metric alongside accuracy.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-21T12:36:31.635841+00:00— report_created — created