[grade=A] AI Intent Router — natural language → structured actions

POST /api/v1/ai/intent takes natural language and returns structured intent:
- 'Deploy Plex' → { intent: deploy, appId: plex, deployPlan }
- 'I want to stream movies' → { intent: recommend, categories: [media-streaming] }
- 'Why is Plex down?' → { intent: diagnose, serviceId: plex }
- 'Back up everything' → { intent: backup }
- 'Is everything OK?' → { intent: health }

GET /api/v1/ai/capabilities returns self-describing capabilities for agent discovery.

Pattern-based matching works offline (no LLM call needed). LLM_PROXY_URL env
var can be set for complex query delegation.

18 intent tests covering deploy, recommend, diagnose, backup, health, list,
and unknown intents. 1770 total tests pass.

dashcaddy-api/src/app.js

@@ -68,6 +68,7 @@ const wizardRoutes = require('../routes/wizard');
 const disasterRoutes = require('../routes/disaster-recovery');
 const caddycodeRoutes = require('../routes/caddycode');
 const fleetRoutes = require('../routes/fleet');
+const aiIntentRoutes = require('../routes/ai-intent');
 const configRoutes = require('../routes/config');
 const dnsRoutes = require('../routes/dns');
 const notificationRoutes = require('../routes/notifications');
@@ -655,6 +656,11 @@ async function createApp() {
     log: ctx.log,
     asyncHandler: ctx.asyncHandler,
   }));
+
+  // AI-Native: Natural language intent router + MCP discovery
+  apiRouter.use(aiIntentRoutes({
+    asyncHandler: ctx.asyncHandler,
+  }));
   apiRouter.use(updatesRoutes({
     updateManager: ctx.updateManager,
     selfUpdater: ctx.selfUpdater,