digesta-alpha, reproducible on a fresh pod:

  [boot +0.8s] seeded models registered: qwen38-awq, diogene-alpha,
               digesta-alpha, qwen38-vision          <- correct
  Resolving model: digesta-alpha
  [register] digesta-alpha registered in text_models <- teach, overwriting it
  [lora] added 'digesta-alpha' to the running engine — no reload
  Loading model on demand: digesta-alpha
  Warning: No GPU backend detected.
  Error loading model digesta-alpha: Unknown backend: cpu

seed_model_env strips `backend` unless told the engine: a RunPod model carries
`backend: "runpod"`, which is THIS install's placement and means nothing on a
pod. The SEED path has passed the engine since the same fault bit diogene-alpha
(the reason is written beside that call). teach_model never did.

So the model was seeded correctly at boot and then RE-REGISTERED by teach --
which happens whenever an adapter has to be sent -- and the good entry was
replaced by a backend-less one. It worked until something taught it, which is
why it read as intermittent, and why diogene-alpha on the same pod was fine:
nothing re-taught it.

Orchestrator-side, so a pod already holding a broken registration can be
re-taught in place rather than replaced.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01S8LAP3ueNzQJtwzhgVbq66