# Hanzo Brain — Email Recipe
#
# Daily Gmail pull → classify → draft response → enqueue for swipe-review
# in the Hanzo app (~/work/hanzo/bot/apps/{ios,android,macos}).
#
# Run:
#   hanzo-bot brain run-recipe email
#   hanzo-bot brain drafts list
#   hanzo-bot brain drafts approve <id>     # sends via gmail
#   hanzo-bot brain drafts reject  <id>     # logs as decline-fact for training
#
# Trains your reply tone over time. Every swipe is a signal.

recipe: email
version: 1
backend: gmail

auth:
  provider: hanzo.id          # OIDC via hanzo IAM — single sign-on
  scopes:
    - https://www.googleapis.com/auth/gmail.readonly
    - https://www.googleapis.com/auth/gmail.compose

cron: "*/30 * * * *"          # every 30 min — adjust per volume

ingest:
  source: inbox
  since: 24h
  max: 100
  filter:
    has_thread: any
    skip_labels: [SPAM, TRASH, PROMOTIONS]

classify:
  model: zen-2-haiku           # cheap classifier, fast
  schema:
    needs_reply:   bool
    priority:      one_of [P0, P1, P2, P3]
    intent:        one_of [question, fyi, scheduling, ask, update, spam]
    entities:      [person, company, deal]
    sentiment:     one_of [positive, neutral, negative]
    action_items:  list

draft:
  when: needs_reply == true
  model: zen-2                 # main model — bigger context, better tone
  context:
    - brain.recall(from_email)          # who is this person (facts)
    - brain.search(thread_id, limit=10) # past replies in thread (RAG)
    - brain.facts({entity:from_email, since:30d, limit:30})
    - brain.style(sender:me, recent:200) # 200-shot style examples from outbox
  prompt: |
    You are drafting a reply for me. Match my tone exactly — terse,
    direct, no exclamation marks, no emoji. Answer the question in the
    fewest words that are still useful. Sign off only if I usually do.
    Never invent commitments. If you're unsure, suggest "let me check
    and get back to you" and add an action_item.
  output_schema:
    subject:       string
    body:          string
    action_items:  list
    confidence:    number       # 0..1, used for triage ranking

enqueue:
  queue: drafts.email
  ttl: 7d
  rank_by: [priority, confidence]
  fact_on_enqueue:
    subject: from_email
    predicate: thread_active
    object: true
    source: thread_id

notify:
  channel: hanzo-app
  badge: count_unswiped
  push: drafts.email.new

# After the user swipes in the app, the result feeds back to the brain:
on_swipe_send:
  - send via gmail
  - upsertFact: { subject: from_email, predicate: replied, object: thread_id, ts: now }
  - learn: append (received_msg, sent_draft) to style examples

on_swipe_reject:
  - delete draft
  - upsertFact: { subject: from_email, predicate: declined_reply, object: thread_id, ts: now }
  - learn: down-weight similar drafts in future ranking

on_swipe_edit:
  - open editor with the draft pre-filled
  - on save: send + learn (received_msg, edited_draft) as positive example