- suggest.py: stage-aware engine (broad -> narrow -> role) — LLM (claude-haiku-4-5)
generates bubbles per stage from the picks so far. Profile-grounded, generalizes
to any field (English professor -> Senior Instructional Designer, etc.); None on
no input -> frontend keeps seeded bubbles
- handle_suggest_bubbles action (run off the event loop) + SUGGEST_MODEL config
- bundled: LLM work (sift/curate/suggest) now via asyncio.to_thread so the Redis
response can publish (fixes the loader hang); get_feed handler -> get_scout_feed
(avoids the course-service action collision)
