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watch_sceen_ai/wsai/backends
EJClaw 77d7cd8b56 perf(voice): warm up STT+TTS workers before signalling ready
The first CUDA inference pays a large lazy cost (kernel autotune/cudnn) —
~10s for a cold TTS synth — which would blow the voice loop's ~1s budget on
the very first reply. Each worker now runs one dummy inference (TTS: a short
phrase; STT: 1s of silence) after model load and before emitting "ready", so
"ready" means "hot". Warmup failures are logged and never block startup.

Verified: first real call after startup is now TTS ~238ms / STT ~189ms
(was ~11s cold for TTS). 12 tests pass.

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-08-18 21:06:23 +09:00
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