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Load sentence-transformers on the existing cache miss and construct the preloaded model off the shared background event loop. Start warm-up before chat restoration inside extensible init_a0, preserving start-hook control and sharing the loaded model with ordinary runtime requests. Remove unused speech preload imports and dead warm-up functions. Seed APT indexes only when absent, skipping the refresh on normal container boots. Keep the existing Python tunnel service and its provider lifecycle. Validation: 49 focused framework tests passed, including extension-hook short-circuit behavior, concurrent embedding-cache reuse, APT cache states, tunnel behavior and CSRF origins. Three cold Fable chat trials per version: median submit-to-first-token 9.588s -> 4.234s; local preparation 6.904s -> 1.197s; HTTP readiness 42.637s -> 41.139s; boot-to-first-token 52.093s -> 46.657s. Provider timing varies; these are local repeated measurements. The live baseline already omitted APT refresh, so it receives no timing credit. |
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| AGENTS.md | ||