- /wave/options, POST /wave/sessions (activity, mood, seed),
/next with reactions, PATCH to switch the context on the fly, DELETE
- the recommender is called with an 800 ms budget; on failure the api
serves a fallback wave of likes, favourite artists and random
available tracks with the same dislike / recent / served filters
- every served track is an impression with its source and model; wave
events (context_type wave) set its outcome, reactions win
- library status shows the analysis queue and 7-day wave metrics:
listen-through, early skip and like rate
Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
