Openloomi Tour

TOKEN=$(cat ~/.openloomi/token | base64 -d)
BASE="http://localhost:3414"

# 1. Capture baseline lastTickAt so we can detect when the tick lands.
BEFORE=$(curl -sS "$BASE/api/loop/state" \
  -H "Authorization: Bearer $TOKEN" | jq -r '.lastTickAt // "1970-01-01T00:00:00.000Z"')

# 2. (Optional) Force-refresh connector probes. May hang on the Composio
#    cold path — fall back to the cached snapshot if it times out.
curl -sS --max-time 15 "$BASE/api/loop/connectors?refresh=1" \
  -H "Authorization: Bearer $TOKEN" | jq . \
  || echo "(probe refresh timed out — using cached snapshot)"

# 3. Fire the tick in the BACKGROUND with a short HTTP timeout.
#    The desktop accepts the request, spawns the agentic subprocess,
#    and curl returns after --max-time even though the tick keeps
#    running server-side. We then poll state.lastTickAt for completion.
curl -sS --max-time 5 -X POST "$BASE/api/loop/tick" \
  -H "Authorization: Bearer $TOKEN" > /tmp/openloomi-tick.out 2>&1 &
TICK_PID=$!
echo "tick dispatched (HTTP pid=$TICK_PID); agentic subprocess continues server-side"

# 4. While the tick runs, USE THIS TIME TO TALK TO THE USER.
#    Explain the architecture: signals → classifier → decisions →
#    cards → Approve. Ask about their typical day. Preview the
#    card-shape JSON. Do not sit in silence — this is a 1–3 minute
#    window depending on inbox size.

# 5. Poll for completion (lastTickAt advances past $BEFORE).
#    Default max wait: 3 minutes. Raise to 5 if the user has a large inbox.
DEADLINE=$((SECONDS + 180))
while [ $SECONDS -lt $DEADLINE ]; do
  AFTER=$(curl -sS "$BASE/api/loop/state" \
    -H "Authorization: Bearer $TOKEN" | jq -r '.lastTickAt // "1970-01-01T00:00:00.000Z"')
  if [ "$AFTER" != "$BEFORE" ]; then
    echo "tick completed at $AFTER (was $BEFORE)"
    break
  fi
  sleep 5
done

# 6. Inspect the tick output and any decisions it produced.
cat /tmp/openloomi-tick.out
curl -sS "$BASE/api/loop/decisions?status=pending" \
  -H "Authorization: Bearer $TOKEN" | jq .

DEC_ID=$(curl -sS "$BASE/api/loop/decisions?status=pending" \
  -H "Authorization: Bearer $TOKEN" | python3 -c "import sys,json; print(json.load(sys.stdin)['items'][0]['id'])")

curl -sS "$BASE/api/loop/card/$DEC_ID" \
  -H "Authorization: Bearer $TOKEN" | python3 -m json.tool

curl -sS -X POST "$BASE/api/loop/action/schedule" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d "{\"decision_id\":\"$DEC_ID\",\"action\":\"run\"}"

MEM="$SKILL_DIR/../openloomi-memory/scripts/openloomi-memory.cjs"

# The required Memory commands are known. Do not run discovery/help probes
# such as `node "$MEM" --help`, `node "$MEM" -h`, or `node "$MEM" help`
# before this phase; go directly to add-memory and search-all.

# Tour seed files are tour-owned demo artifacts. Reruns may overwrite
# these tour/*.md files, but must not write to user-authored memory paths.

# 1. Tour / about me
node "$MEM" add-memory "About me: <one-line role + timezone + how I prefer to work>" \
  --file=tour/about-me.md

# 2. Tour / current project
node "$MEM" add-memory "Current project: <name + goal + next milestone>" \
  --file=tour/current-project.md

# 3. Tour / values
node "$MEM" add-memory "What I optimise for: <signal vs noise, deep work vs responsiveness, etc.>" \
  --file=tour/values.md

# 4. Search-all to prove the new files are indexed
node "$MEM" search-all "<a keyword from the file you just wrote>"

node "$MEM" list-insights --days=7
curl -sS "$BASE/api/rag/documents?limit=5" \
  -H "Authorization: Bearer $TOKEN" | python3 -m json.tool

TOKEN=$(cat ~/.openloomi/token | base64 -d)
curl -sS -X PUT "http://localhost:3414/api/loop/channels" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "id": "demo_stripe_charges",
    "label": "Demo: Stripe charges",
    "toolkit": "stripe",
    "toolSlug": "STRIPE_LIST_CHARGES",
    "pollIntervalSec": 900,
    "signalType": "stripe_charge"
  }'

# Re-list to confirm
curl -sS "http://localhost:3414/api/loop/channels" \
  -H "Authorization: Bearer $TOKEN" | python3 -m json.tool

# 1. Confirmation card — fetch the registered channel back so the user
#    sees the entity they just created, named and labeled.
echo "=== confirmation card: registered channel ==="
curl -sS "http://localhost:3414/api/loop/channels" \
  -H "Authorization: Bearer $TOKEN" | \
  jq '.items[] | select(.id == "demo_stripe_charges")'

# 2. Inject a decision-style insight into the inbox so the user can see
#    the registration event surface in OpenLoomi Memory > Insights. The
#    user can later filter by `groups: ["openloomi-tour"]` to find every
#    registration card the tour produced.
echo "=== injecting registration insight into inbox ==="
curl -sS -X POST "http://localhost:3414/api/insights" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "type": "decision",
    "content": "Custom Loop channel registered: demo_stripe_charges (toolkit=stripe, toolSlug=STRIPE_LIST_CHARGES, pollIntervalSec=900). Next Loop tick will poll and surface stripe_charge signals.",
    "groups": ["openloomi-tour", "loop"],
    "people": []
  }' | python3 -m json.tool

curl -sS -X PUT "http://localhost:3414/api/loop/classifier-rules" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "id": "force_email_reply_high_urgency",
    "when":[
      {"field":"signal.type","op":"eq","value":"gmail_message"},
      {"field":"signal.payload.urgency","op":"eq","value":"high"}
    ],
    "then":{"type":"email_reply","actionKind":"email_reply","confidence":0.95}
  }'

# Dry-run to confirm it matches
curl -sS -X POST "http://localhost:3414/api/loop/classifier-rules/dry-run" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{"signal":{"type":"gmail_message","payload":{"urgency":"high","subject":"URGENT: outage"}}}'

# 1. Confirmation card — fetch the registered rule back
echo "=== confirmation card: registered rule ==="
curl -sS "http://localhost:3414/api/loop/classifier-rules" \
  -H "Authorization: Bearer $TOKEN" | \
  jq '.items[] | select(.id == "force_email_reply_high_urgency")'

# 2. Inject a decision-style insight into the inbox
echo "=== injecting registration insight into inbox ==="
curl -sS -X POST "http://localhost:3414/api/insights" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "type": "decision",
    "content": "Classifier rule registered: force_email_reply_high_urgency — gmail_message + payload.urgency=high → email_reply (confidence 0.95). Overrides the LLM classifier for matching signals.",
    "groups": ["openloomi-tour", "loop"],
    "people": []
  }' | python3 -m json.tool

curl -sS -X PUT "http://localhost:3414/api/loop/types" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "id":"birthday_wish",
    "label":"Birthday wish",
    "icon":"ri-cake-2-line",
    "actionKind":"email_reply"
  }'

# 1. Confirmation card — fetch the registered type back
echo "=== confirmation card: registered decision type ==="
curl -sS "http://localhost:3414/api/loop/types" \
  -H "Authorization: Bearer $TOKEN" | \
  jq '.items[] | select(.id == "birthday_wish")'

# 2. Inject a decision-style insight into the inbox
echo "=== injecting registration insight into inbox ==="
curl -sS -X POST "http://localhost:3414/api/insights" \
  -H "Authorization: Bearer $TOKEN" \
  -H "content-type: application/json" \
  -d '{
    "type": "decision",
    "content": "Custom DecisionType registered: birthday_wish (icon=ri-cake-2-line, actionKind=email_reply). Future Loop ticks can surface decisions with this card style.",
    "groups": ["openloomi-tour", "loop"],
    "people": []
  }' | python3 -m json.tool

echo "=== all registered channels ==="
curl -sS "http://localhost:3414/api/loop/channels" \
  -H "Authorization: Bearer $TOKEN" | jq -r '.items[].id'

echo "=== all registered classifier rules ==="
curl -sS "http://localhost:3414/api/loop/classifier-rules" \
  -H "Authorization: Bearer $TOKEN" | jq -r '.items[].id'

echo "=== all registered decision types ==="
curl -sS "http://localhost:3414/api/loop/types" \
  -H "Authorization: Bearer $TOKEN" | jq -r '.items[].id'

echo "=== registration insights in inbox (last 24h) ==="
curl -sS "http://localhost:3414/api/insights?days=1&limit=10" \
  -H "Authorization: Bearer $TOKEN" | python3 -m json.tool