Daemon side of Decision B: parse {"response","mood"} across the 4 consumers
(replier, nudges, reminders, chat), fall back to legacy formats. Drop the
LLM router — the classifier handles routing; replier/phraser share one
llm.Client (timeout 20s->60s). llm.Client reads reasoning_content when
content is empty (thinking models).
Docs: TTS piper-student plan (OmniVoice teacher -> piper student, from
scratch, phoneme-first). CLAUDE.md training guide.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- Add reactive_notes_test.go: tests for context-aware reactive nudge
generation using LLM phraser with dialogue history.
- Add docs/plans/2026-07-10-router-lfm-foundation.md: architecture research
on replacing classifier cascade with LFM-based router.
kami