d91beef0fd314250d8d9b94de86dfea019a8bd96
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Commits
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aa1d739843 |
feat(workers): dubbing goes remote, and the protocol stops lying to old workers
The remote-GPU line, verified on hardware rather than asserted. **Dubbing renders on the worker.** dub_generate.py dispatches the coarse `dub_segments` operation through the gateway, following the audiobook pattern: per-unit local fallback after consecutive remote failures, one aggregated notice rather than one per segment. A 40-minute dub that loses its worker at segment 200 degrades instead of producing 200 error rows. **An out-of-date worker is now refused by name.** This was the worst defect in the plan and it was silent: an un-upgraded worker registered cleanly, then ignored `inputs` and rendered a clone with NO reference audio — returned as success. A plausible wrong result with nothing anywhere to surface it. Workers now declare features, and one missing them is turned away with the features named and `no task was run`. Verified live: a worker one commit behind was correctly refused. **"Offline" and "cannot run this" are different facts.** Asking a live worker for an engine it lacks answered "is offline or cannot be reached. Wake the selected worker" — while that worker reported ready, one free slot and 3.6 ms latency. The user was sent to wake a machine that was already awake. The scheduler now distinguishes absent from present-but- incapable, and names the engine rather than the operation, because the engine is the thing a user can install. **An engine with no catalog entry is no longer hidden.** A `repo_ids` non-emptiness check had been implemented as a runtime filter, so a worker silently refused to advertise any engine lacking a models.yaml entry — which is four registered engines, including CosyVoice. Users with those already installed would have lost remote support with only a log line. Empty `repo_ids` now means "not downloadable here", never "not runnable". **And a script so this stops being done by hand.** scripts/verify-remote-worker.sh runs the per-phase acceptance checks against a live worker, non-destructively. Its preconditions are the mistakes that cost the most time: exactly one listener on the control port (two instances silently shared it), and never detecting the worker with a pgrep pattern that matches the ssh shell running it. Its first real run found the dubbing picker claiming remote placement. That turned out to be the CHECK being stale, not the picker — the port had landed since it was written. It now asserts self-consistency instead: the picker may claim remote only for an operation the control plane actually advertises as remotely producible, which cannot rot the next time an op is ported. Backend 5291 passed, frontend 1812 passed. Acceptance script: no automated failures across Phases 4-8 on an RTX 4090. Four checks remain MANUAL by design — true airplane mode, concurrent downloads, killing a worker mid-audiobook, and the model-list UI — and are reported as unverified rather than passed. |
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43de1c794c |
feat(workers): remote GPU workers over a versioned gRPC protocol
Send individual jobs to GPUs on your other machines while everything else stays local. Opt-in, off by default: with the toggle off there is no listening socket, no certificate and no background loop. Design follows remote/goal_v2.md, the council-revised goal doc. The decisions that shaped the code, and why: * A disconnect is an unknown outcome, not a failure. The original design reassigned on disconnect while also describing the case where the worker had already finished — following both guarantees duplicate execution. An attempt now holds a grace window; a worker returning inside it commits its result and no second attempt is ever made. * At-least-once execution, exactly-once result commit. The result is persisted BEFORE it is acknowledged, so a crash between the two cannot silently lose a finished render. * Deadlines are phased (accept -> model load -> execute -> deliver) and liveness is a progress lease. The old fixed 30s execution budget was two orders of magnitude below what this product actually does; silence is the failure signal, not slowness. * Capacity is derived from free VRAM, never configured: a static value corrupts output under torch.compile thread affinity (#315) and aborts the process on small cards (#567). * A circuit breaker replaces the reliability-score/quarantine machinery, which had no recovery path (no probation workload exists in a TTS product) and penalised consumer networks for existing. * Identity is a keypair the worker generates and never sends. A server-assigned id is a name, not an authenticator, so revocation of one would be theatre. Enrollment tokens are single-use and carry the control plane's certificate fingerprint for pin-on-first-use. Adds the domain core, scheduler, durable task store, gRPC transport, worker agent, management API, Settings panel, and docs. Protobuf reserves the tenant/trace/usage fields a hosted control plane would need, since adding them later means upgrading a whole fleet. Includes tests for the failure paths that matter: duplicate delivery, stale-session fencing, reconnect reconciliation, grace expiry, breaker attribution, and a real end-to-end TLS round trip. |