feat: Auto-save voice recordings for model training

- Add /api/recordings endpoint with full CRUD operations
- Create voice_recordings SQLite table for metadata
- Save audio files to server/recordings/ as .webm
- Store transcription, duration, microphone name, file size
- Auto-save on each Whisper recording completion

server/routes/index.ts

@@ -8,6 +8,7 @@ import { handleCanvas, handleCanvasById, handleToolbarCanvas, handleDefaultCanva
 import { handleGiteaRepo, handleGiteaTree, handleGiteaFile } from './gitea'
 import { handleTables, handleStats, handleTableSchema, handleTableData, handleQuery } from './database'
 import { handleWhisperRoutes } from './whisper'
+import { handleRecordingsRoutes } from './recordings'
 
 export async function handleRequest(req: Request): Promise<Response> {
   const url = new URL(req.url)
@@ -175,5 +176,11 @@ export async function handleRequest(req: Request): Promise<Response> {
     if (res) return res
   }
 
+  // Voice recordings (for training custom models)
+  if (path.startsWith('/api/recordings')) {
+    const res = await handleRecordingsRoutes(req)
+    if (res) return res
+  }
+
   return notFoundResponse()
 }