rob thijssen
8f6f1d3205
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A deploy previously went green the moment systemd reported the service started — a merge that broke model loading or inference itself would deploy "successfully" and only surface when a human noticed. Each neuron deploy now earns its green: 1. Wait for default models: poll /health until activation.state is ready, with per-host timeouts in the matrix (beast 900s for the 27B Q6K TP=2 cold-load, benjy/quadbrat 300s). Any entry in activation.failed fails the deploy with the per-model error — the structured equivalent of watching the journal for "loaded default model", plus failure detail the journal line can't carry. 2. LLM smoke probe: ask the first loaded model to reply with one specific word (max_tokens 512 so thinking models have room, temperature 0) and grep the response for it. Not a quality bar — just proof the deploy didn't lobotomize inference. Hosts whose package is already current still skip everything — the validation cost is only paid when a restart actually happened. The probe was dry-run against benjy's production neuron before landing. Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>