feat(ai-session): add Phase 2 PSA integration, escalation handoff, and session management
Phase 2 of the FlowPilot-First Pivot connecting AI sessions to ConnectWise PSA: Slice 1 — PSA Ticket Intake: - FlowPilotEngine accepts psa_ticket intake with graceful CW API fallback - Ticket picker on intake screen (refactored TicketPickerModal for dual-mode) - Ticket context card in session sidebar Slice 2 — Auto Documentation Push: - PSA documentation service with resolution/escalation note formatting - Time entry creation via new ConnectWise provider method - Automatic retry scheduler (APScheduler, 5min interval, 3 retries) - PSA push status indicators in frontend with manual retry button - Member mapping warning when CW member not mapped Slice 3 — Session Pause/Resume & Escalation Handoff: - Pause/resume endpoints for same-engineer session bookmarking - Escalation flow: requesting_escalation status, self-escalation blocked - Enhanced escalation package with LLM-generated hypotheses/suggestions - Pickup endpoint with continue/fresh resume modes and briefing step - Escalation queue (sidebar nav + dedicated page) - SessionBriefing component with continue/fresh choice UI - EscalateModal with PSA-aware button text Slice 4 — Mid-Session Ticket Linking: - Link ticket retroactively with context injection into system prompt - Link Ticket button in session sidebar Slice 5 — FlowPilot PSA Settings: - Settings tab on IntegrationsPage with 7 configurable options - Stored as flowpilot_settings JSONB on PsaConnection Database: 2 migrations (flowpilot_settings, psa_post_log changes, status constraint) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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@@ -180,6 +180,16 @@ async def lifespan(app: FastAPI):
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replace_existing=True,
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)
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# PSA push retry (every 5 minutes)
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from app.services.psa_retry_scheduler import process_pending_retries
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scheduler.add_job(
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process_pending_retries,
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trigger="interval",
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minutes=5,
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id="psa_push_retry",
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replace_existing=True,
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)
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# Auto-seed trees in background on PR environments
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seed_task = None
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if settings.SEED_ON_DEPLOY:
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