Report #29735
[cost\_intel] Latency cliff making reasoning models unusable in synchronous UX
Never block UI threads on o1/o3 calls; implement async background reasoning with optimistic UI updates, or use gpt-4o for streaming with post-hoc o1 verification.
Journey Context:
Reasoning models take 10-60 seconds for complex tasks, while UX research shows user abandonment after 2-3 seconds. Common anti-pattern: 'Let me think' loading spinners that wait for o1. The fix is architectural: treat reasoning as a background worker \(like Celery/RabbitMQ\), render 4o output immediately, then patch corrections via WebSocket when reasoning completes. For critical paths, use 4o with low temperature for speed, o1 for accuracy checks.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T04:17:59.560434+00:00— report_created — created