resolutionflow/.ai/HANDOFF.md

HANDOFF.md

Last updated: 2026-04-27 21:00 EDT

Active task: Escalation Mode wedge build. See CURRENT_TASK.md for the full status; this file holds the resume point only.

Branch: feat/escalation-metric-endpoint — frontend SSE live-arrival slice is shipped on top of the test-stabilized backend.

Status

Previous session shipped the frontend SSE subscription that the next session was set up to do.

What landed:

• frontend/src/api/aiSessions.ts — added streamEscalations(handlers, signal). Fetch-based ReadableStream parser (native EventSource can't send auth headers). Handles SSE frames including : keepalive heartbeats. Dispatches ready and handoff_created events.
• frontend/src/types/ai-session.ts — added HandoffCreatedEvent and EscalationStreamHandlers types mirroring the backend bus payload.
• frontend/src/components/flowpilot/EscalationQueue.tsx — full data-layer rewrite. SSE subscription with AbortController, exponential-backoff reconnect (1s → 30s cap, attempt counter resets on ready). On handoff_created the component refetches the queue, diffs against the previous IDs via a sessionsRef, prepends new arrivals (newest-first) above established cards (oldest-first preserved). New IDs tagged for 800ms so the locked 200ms slide-in animation plays before cleanup. Tab-title flash captures document.title at mount, prefixes (N) while document.hidden, clears on focus / visibilitychange, restores on unmount. prefers-reduced-motion: reduce swaps animate-slide-in-bottom for animate-fade-in. ARIA: role="region" + aria-live="polite" on the list, aria-label="N escalations awaiting pickup" on the heading. Pick Up button bumped to py-2.5 to clear the 44px touch floor.

Verified:

• Frontend tsc -b exit 0. Vite HMR'd the new file with no compile errors.
• Backend regression: focused subset (test_escalation_bus, test_handoff_manager, test_session_handoffs_api, test_flowpilot_analytics_escalations) → 32 passed in 18.91s with -n auto.
• Live SSE handshake against the running dev stack returns 200 with text/event-stream; charset=utf-8 and the locked headers (cache-control: no-cache, x-accel-buffering: no). Subscriber received the ready frame on connect; after posting a handoff via the API, the subscriber received the handoff_created frame with the full payload — wire format matches the new parser exactly.

Not yet verified (would need a real browser session): the slide-in animation visually plays, the tab title actually updates, the reduced-motion media-query path, AbortController cancellation on unmount, backoff after a real network blip. Wire contract is confirmed; these are visual/timing-dependent and follow from correct parser + state machine.

Smoke-test artifact: a single test handoff (0f6149db… on session 50ea20d4…) is sitting in the engineer's queue from the verification step. Harmless; useful as visual demo data.

Resume point

1. Build the magic-moment handoff-context screen: 4 sections (problem summary / what's been tried / AI assessment / Start here CTA), loads on Pick Up, then dissolves into the regular FlowPilot session view. Must render gracefully when ai_assessment is None (assessment timed out — see commit 9bdd995). Surface ai_assessment_data.suggested_steps[] as chips below the chat input that prefill it on click — do NOT invent a "jump to most-likely-next-step" capability that doesn't exist in the session model.
2. Push the branch and open a draft PR once the magic-moment screen is in.
3. Optional v1: owner-facing /analytics/escalations page (period selector + conversion rate + trend chart).

Useful breadcrumbs

• SSE endpoint: backend/app/api/endpoints/session_handoffs.py — stream_escalations.
• Pub/sub bus: backend/app/core/escalation_bus.py. In-memory, account-scoped, non-durable, 64-event per-subscriber queue, drop-on-full.
• Frontend SSE consumer: frontend/src/api/aiSessions.ts → streamEscalations.
• Live-arrival queue UI: frontend/src/components/flowpilot/EscalationQueue.tsx.
• Notification dispatch: backend/app/services/handoff_manager.py — dispatch_escalation_notifications, called after db.commit() in the handoff endpoint.
• Metric endpoint: backend/app/api/endpoints/flowpilot_analytics.py — get_escalation_metrics.

Watch-outs

• Do not reintroduce client.stream()/ASGITransport tests for infinite SSE responses; test the generator directly or use a real server-level test.
• DROP SCHEMA public CASCADE per test is still the dominant cost: DB-backed tests spend ~1.7-2.8s in setup. Use -n auto for focused backend loops.
• The bus is acceptable for v1 pilot scale only because Railway is single-replica. Redis pub/sub is the obvious swap when horizontal scaling appears.
• Escalation assessment can be missing when the 5s timeout fires. The handoff-context UI must render a graceful "assessment unavailable/in progress" state rather than treating it as required.
• streamEscalations doesn't drive token refresh on a mid-stream 401 — the Axios interceptor only covers axios calls. Acceptable for v1 (queue page lifetime ≤ access-token lifetime in practice); revisit if pilots leave the page open for hours.