feat(api): My Wave sessions with a Go fallback and wave metrics (M4)
- /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>
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