v0.4.11 — dashboard tells the truth (Phase 1+2)

[0.4.11] — 2026-06-17

Fixed (dashboard now reports the truth — Phase 1+2)

• Phantom READY eliminated — /api/status engine_ready is now a live /v1/models probe each call (latched engine.ready no longer trusted); the instances panel + master node card derive status from it (READY vs STARTING) instead of a hardcoded READY.
• Per-node VRAM no longer stuck at 0% — metrics/collector.py falls back to psutil for GB10 unified memory (nvidia-smi reports N/A), and the UI merges live GPU metrics into the (local) node so the memory ring shows real %. (Per-peer VRAM still pending a metrics fan-out — Phase 3.)
• Cluster graphic shows distributed membership — participating nodes are stamped with the model + TP=N from the authoritative /api/cluster/resources distributed_instance (the old path keyed off active_sharding, which is null while serving, so workers showed nothing).
• Ray status no longer falsely "not installed" — /api/sharding/status derives Ray health from the head engine when a distributed instance is serving (the orchestrator container has no ray binary to probe).
• DELETE works on a dead/phantom instance — unload force-clears (stopped: true) when the engine is unreachable instead of blocking on a SIGTERM that can't confirm.

Changed

• AUTO sharding now defaults to Tensor parallel (was Pipeline) — matches the distributed launch path and this hardware. Launch UI defaults the Sharding pill to Tensor and relabels the node selector "Tensor Parallel Size (nodes)".
• Launch dropdown marks model state — loaded (●) / on-disk (○) so you can tell what's downloaded.

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