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7cfc2200ba
feat(x): unified email classifier with labels, triage sections, and user instructions
Replace the two disjoint email classification systems (inline importance
classifier + batch labeling agent) with a single LLM pass that emits
importance, category, knowledge verdict, summary, and a pre-drafted reply.
Classification:
- classify_thread.ts now returns {importance, category, knowledge}; the
category enum and prompt are built at call time from a label registry
(7 built-ins named after Superhuman's vocabulary — Direct, Calendar,
News, Marketing, Pitch, Notification, Receipt — plus up to 12 custom)
- Users create labels in plain text via the new "Email agent instructions"
dialog; an extraction pass syncs them into config/email_labels.json.
Instructions are also injected into every classify/draft call and the
composer's Write-with-AI bar (seeded: Investor / Candidate / Customer)
- Per-thread category corrections are sticky and feed few-shot learning
(email_category_feedback.ts), same pattern as importance corrections
Knowledge graph:
- Delete the labeling agent pipeline (label_emails, labeling_agent,
labeling_state); admission is now the stamped `knowledge: extract|skip`
frontmatter, with legacy noise-tag fallback and a budgeted sweep that
backfills unclassified markdown (build_graph holds unstamped files)
- Guardrails: user-participated threads always extract; user importance
flips never touch the knowledge verdict; classify failures stamp nothing
Inbox UI:
- Sections become Needs you / Waiting on them / Everything else; waiting
state is derived per render (user sent last, others participated), never
stored, so it can't go stale
- Category chips on rows (Direct stays chipless), filter pills with counts,
one-click bulk archive per category, "Reply ready" indicator
- Fix: Everything else section could never load/render under sustained
sync writes (fetch was chained on hasReachedEnd, which live reloads reset)
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