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Automated real-model CI smoke test #457

Description

@charneykaye

CI currently validates with fake runtimes; ROADMAP.md Milestone-1 polish calls for an automated smoke test that exercises a real local model end-to-end.

Scope

  • Nightly (not per-PR) workflow: download the smallest registry model (Qwen3 4B Q4_K_M) with checksum verification, run a scripted conversation through convsim-core + llama.cpp, assert a scored debrief is produced
  • Cache the model between runs; fail loudly on checksum drift
  • Reuse the existing model-smoke-nightly.yml scaffolding where it fits

Acceptance

  • Nightly job green on main with a real model producing real NPC turns
  • Failure output distinguishes: download/checksum failure vs runtime crash vs pipeline assertion
  • Runtime budget documented (target < 30 min on standard GitHub runners)

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    area:modelsLocal AI runtimes — LLM, STT, TTS — and the model managerchoreMaintenance — CI, scripts, refactoring, release opspriority:P1Important — next after blockers

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