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0 0 0 Python

feat(frontend): add Agent Intelligence Layer to library and home

Implements 7 new features for agent awareness across the platform:

1. Agent Briefing Panel — collapsible stats grid showing fleet-wide
   counts (running, error, listening, scheduled, idle, monthly spend)
2. Enhanced Library Cards — StatusBadge, progress bar, error messages,
   run counts, spend, and time-ago on every agent card
3. Expanded Filter & Sort — new AgentFilterMenu dropdown with status-
   based filtering (running, attention, listening, scheduled, idle)
4. AI Summary / Situation Report — prioritized SitrepList with error-
   first ranking and contextual action buttons
5. Ask AutoPilot Bridge — shared context that lets sitrep items and
   pulse chips pre-populate the Home chat with agent-specific prompts
6. Home Pulse Chips — lightweight agent status chips on the empty
   Home/Copilot screen linking back to the library
7. Contextual Action Buttons — status-aware actions (View error,
   Reconnect, Watch live, Run now, Retry) on cards and sitrep items

All features use deterministic mock data via useAgentStatus hook,
marked with TODO comments for backend API integration. Follows
existing component patterns (atoms/molecules/organisms), reuses
shadcn/ui primitives, Phosphor Icons, and platform design tokens.

Co-Authored-By: Claude Opus 4.6 <[email protected]>
J
John Ababseh committed
8277cce83566bb90704832d2fc40d758ab6a4d7f
Parent: 57b17dc