release: bump version to 0.1.2.3

README.md
  - Phase B erledigt-Liste um zwei Punkte erweitert:
    Token/Call-Metrics + Multi-Select-Datei-Manager
  - Diagnostic-Tabs in der Installations-Sektion aktualisiert
    (5 Tabs statt 4 — Skills als eigener Tab)
  - Diagnostic-Sektion weiter unten: Tabs-Liste komplett ueberholt,
    Token-Metrics als eigener Bullet in "Was zusaetzlich drin steckt"

issue.md
  - "Token/Call-Metrics" als erledigter Punkt in "Diagnostic/App-Features"

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

README.md

@@ -195,12 +195,13 @@ Bestehendes Token nochmal als QR anzeigen: `./generate-token.sh show`
 http://<VM-IP>:3001
 ```
 
-Die Diagnostic-UI hat vier Top-Tabs:
+Die Diagnostic-UI hat fünf Top-Tabs:
 
 - **Main** — Live-Chat-Test, Status (Brain / RVS / Proxy), End-to-End-Trace
-- **Gehirn** — Memory-Verwaltung (Vector-DB), Skills, Export/Import des kompletten Gehirns als tar.gz
-- **Dateien** — alle Dateien aus `/shared/uploads/` (von ARIA generiert oder hochgeladen) mit Download/Delete
-- **Einstellungen** — Reparatur (Container-Restart), Wipe, Sprachausgabe, Whisper, Runtime-Config, App-Onboarding (QR), Komplett-Reset
+- **Gehirn** — Memory-Verwaltung (Vector-DB), Token/Call-Metrics (Subscription-Quota), Bootstrap & Migration, Komplett-Gehirn Export/Import
+- **Skills** — Liste mit Logs, Run, Activate/Deactivate, Export/Import als tar.gz
+- **Dateien** — alle Dateien aus `/shared/uploads/` mit Multi-Select, Bulk-Download (ZIP) + Bulk-Delete
+- **Einstellungen** — Reparatur (Container-Restart), Wipe, Sprachausgabe, Whisper, Sprachmodell, Runtime-Config, App-Onboarding (QR), Komplett-Reset
 
 ---
 
@@ -311,13 +312,15 @@ Erreichbar unter `http://<VM-IP>:3001`. Teilt das Netzwerk mit der Bridge.
 ### Tabs
 
 - **Main**: Brain/RVS/Proxy-Status, Chat-Test, "ARIA denkt..."-Indikator, End-to-End-Trace, Container-Logs
-- **Gehirn**: Memory-Browser (Vector-DB), Suche + Filter, Edit/Add/Delete, Gehirn-Export/Import (tar.gz), Skills (geplant)
-- **Dateien**: Browser fuer `/shared/uploads/` — von ARIA generierte oder hochgeladene Dateien herunterladen oder loeschen (Live-Update der Chat-Bubbles)
-- **Einstellungen**: Reparatur (Container-Restart fuer Brain/Bridge/Qdrant), Komplett-Reset, Betriebsmodi, Sprachausgabe + Voice-Cloning + F5-TTS-Tuning, Whisper, Onboarding-QR, App-Cleanup
+- **Gehirn**: Memory-Browser (Vector-DB), Suche + Filter, Edit/Add/Delete, Konversation-Status mit Destillat-Trigger, **Token/Call-Metrics mit Subscription-Quota-Tracking**, Bootstrap & Migration (3 Wiederherstellungs-Wege), Gehirn-Export/Import (tar.gz). Info-Buttons (ℹ) ueberall mit Modal-Erklaerung.
+- **Skills**: Liste aller Skills mit Logs pro Run, Activate/Deactivate, Export/Import als tar.gz, "von ARIA"-Badge fuer selbst gebaute
+- **Dateien**: Browser fuer `/shared/uploads/` mit Multi-Select + "Alle markieren" + Bulk-Download (ZIP bei 2+) + Bulk-Delete. Live-Update der Chat-Bubbles beim Delete.
+- **Einstellungen**: Reparatur (Container-Restart fuer Brain/Bridge/Qdrant), Komplett-Reset, Betriebsmodi, Sprachausgabe + Voice-Cloning + F5-TTS-Tuning + Voice Export/Import, Whisper, Sprachmodell (brainModel), Onboarding-QR, App-Cleanup
 
 ### Was zusaetzlich noch drin steckt
 
 - **Disk-Voll Banner** mit copy-baren Cleanup-Befehlen (safe + aggressiv)
+- **Token/Call-Metrics**: pro Claude-Call ein Eintrag in `/data/metrics.jsonl` mit ts + Token-Schaetzung. Gehirn-Tab zeigt 1h/5h/24h/30d-Aggregat plus Progress-Bar gegen Plan-Limit (Pro / Max 5x / Max 20x / Custom). Warn-Schwelle 80%, kritisch 90%.
 - **Voice Cloning**: Audio-Samples hochladen, Whisper transkribiert den Ref-Text automatisch
 - **Voice Export/Import**: einzelne Stimmen als `.tar.gz` zwischen Gameboxen mitnehmen
 - **Settings Export/Import**: `voice_config.json` + `highlight_triggers.json` als JSON-Bundle
@@ -842,20 +845,29 @@ docker exec aria-brain curl localhost:8080/memory/stats
 ### Phase A — Refactor: OpenClaw raus, eigenes Brain rein
 
 - [x] aria-brain Container-Skeleton (FastAPI, Qdrant, sentence-transformers)
+- [x] aria-core (OpenClaw) komplett abgerissen — Tag `v0.1.2.0` als Archiv
 - [x] Diagnostic: Gehirn-Tab (Memory Search/Filter, Add/Edit/Delete)
 - [x] Diagnostic: Gehirn-Export/Import als tar.gz
-- [x] Diagnostic: Datei-Manager (Liste, Suche, Download, Delete mit Live-Bubble-Update)
-- [x] App: Datei-Manager als Modal in den Einstellungen
+- [x] Diagnostic: Datei-Manager (Liste, Suche, Download, Delete, Multi-Select + ZIP + Bulk-Delete)
 - [x] Diagnostic: Komplett-Reset (Wipe All)
+- [x] Diagnostic: Info-Buttons mit Modal-Erklaerungen (Status, Konversation, Memories, Bootstrap)
+- [x] App: Datei-Manager als Modal in den Einstellungen (mit Multi-Select + ZIP-Download)
 - [x] Voice Export/Import (einzelne Stimmen + F5/Whisper-Settings als Bundle)
-- [x] aria-core (OpenClaw) komplett abgerissen — Tag `v0.1.2.0` als Archiv
-- [ ] **Phase B Punkt 2:** Migration `aria-data/brain-import/` → atomare Memory-Punkte
-- [ ] **Phase B Punkt 3:** Brain Conversation-Loop (Single-Chat + Rolling Window + Memory-Destillat)
-- [ ] **Phase B Punkt 4:** Skills-System (Manifest, venv, README pro Skill, Diagnostic-Tab)
+
+### Phase B — Brain mit Memory + Loop + Skills
+
+- [x] **Phase B Punkt 2:** Migration aus `aria-data/brain-import/` → atomare Memory-Punkte (Identity / Rule / Preference / Tool / Skill, idempotent ueber migration_key) + Bootstrap-Snapshot Export/Import (nur pinned)
+- [x] **Phase B Punkt 3:** Brain Conversation-Loop (Single-Chat UI, Rolling Window 50 Turns, Schwelle 60 → automatisches Destillat, manueller Trigger)
+- [x] **Phase B Punkt 4:** Skills-System (Python-only via local-venv, skill_create als Tool, dynamische run_<skill> Tools, Diagnostic Skills-Tab mit Logs/Toggle/Export/Import, skill_created Live-Notification in App+Diagnostic, harte Schwelle "pip → Skill")
+- [x] Sprachmodell-Setting wieder funktional (brainModel in runtime.json statt aria-core)
+- [x] App-Chat-Sync: verpasste Nachrichten beim Reconnect + chat_cleared Live-Update
+- [x] App: Chat-Suche mit Next/Prev Navigation statt Filter
+- [x] Token/Call-Metrics + Subscription-Quota-Tracking (Pro / Max 5x / Max 20x / Custom)
+- [x] Datei-Manager Multi-Select: Bulk-Download als ZIP + Bulk-Delete (Diagnostic + App)
 
 ### Phase 2 — ARIA wird produktiv
 
-- [ ] Skills bauen (Bildgenerierung, etc.)
+- [ ] Erste Skills bauen lassen (yt-dlp, pdf-extract, etc. — durch normale Anfragen)
 - [ ] Gitea-Integration
 - [ ] VM einrichten (Desktop, Browser, Tools)
 - [ ] Heartbeat (periodische Selbst-Checks)

android/android/app/build.gradle

@@ -79,8 +79,8 @@ android {
         applicationId "com.ariacockpit"
         minSdkVersion rootProject.ext.minSdkVersion
         targetSdkVersion rootProject.ext.targetSdkVersion
-        versionCode 10202
-        versionName "0.1.2.2"
+        versionCode 10203
+        versionName "0.1.2.3"
         // Fallback fuer Libraries mit Product Flavors
         missingDimensionStrategy 'react-native-camera', 'general'
     }

android/package.json

@@ -1,6 +1,6 @@
 {
   "name": "aria-cockpit",
-  "version": "0.1.2.2",
+  "version": "0.1.2.3",
   "private": true,
   "scripts": {
     "android": "react-native run-android",

android/src/screens/ChatScreen.tsx

@@ -201,6 +201,7 @@ const ChatScreen: React.FC = () => {
   const [fullscreenImage, setFullscreenImage] = useState<string | null>(null);
   const [searchQuery, setSearchQuery] = useState('');
   const [searchVisible, setSearchVisible] = useState(false);
+  const [searchIndex, setSearchIndex] = useState(0);  // welcher Treffer aktiv ist
   const [pendingAttachments, setPendingAttachments] = useState<{file: any, isPhoto: boolean}[]>([]);
   const [agentActivity, setAgentActivity] = useState<{activity: string, tool: string}>({activity: 'idle', tool: ''});
   // Service-Status (Gamebox: F5-TTS / Whisper Lade-Status) + Banner-Sichtbarkeit
@@ -396,6 +397,52 @@ const ChatScreen: React.FC = () => {
       }
 
       // skill_created: ARIA hat einen neuen Skill angelegt → eigene Bubble
+      // chat_cleared: Diagnostic hat die History komplett geleert
+      // → lokal auch loeschen (visuell + Persistenz)
+      if (message.type === 'chat_cleared') {
+        console.log('[Chat] chat_cleared — leere lokale Anzeige + Storage');
+        setMessages([]);
+        AsyncStorage.removeItem(CHAT_STORAGE_KEY).catch(() => {});
+        AsyncStorage.removeItem('aria_chat_last_sync').catch(() => {});
+        return;
+      }
+
+      // chat_history_response: verpasste Nachrichten nachladen (bei Reconnect)
+      if (message.type === 'chat_history_response') {
+        const p = (message.payload || {}) as any;
+        const incoming = (p.messages || []) as Array<any>;
+        if (!incoming.length) return;
+        console.log(`[Chat] ${incoming.length} verpasste Nachrichten nachgeladen`);
+        const toAdd: ChatMessage[] = incoming.map(m => {
+          const role = m.role === 'user' ? 'user' : 'aria';
+          // ARIA-File-Marker aus dem Backup als attachments rekonstruieren
+          const files = Array.isArray(m.files) ? m.files : [];
+          const attachments = files.map((f: any) => ({
+            type: (typeof f.mimeType === 'string' && f.mimeType.startsWith('image/')) ? 'image' : 'file',
+            name: f.name || 'datei',
+            size: f.size || 0,
+            mimeType: f.mimeType || '',
+            serverPath: f.serverPath || '',
+          })) as Attachment[];
+          return {
+            id: nextId(),
+            sender: role as 'user' | 'aria',
+            text: m.text || '',
+            timestamp: m.ts || Date.now(),
+            attachments: attachments.length ? attachments : undefined,
+          };
+        });
+        const maxTs = incoming.reduce((mx: number, m: any) => Math.max(mx, m.ts || 0), 0);
+        setMessages(prev => {
+          // Dedup auf ts-basis: nicht erneut adden wenn schon was bei +/- 1s vorhanden
+          const existingTs = new Set(prev.map(m => m.timestamp));
+          const newOnes = toAdd.filter(m => !existingTs.has(m.timestamp));
+          return capMessages([...prev, ...newOnes]);
+        });
+        if (maxTs > 0) AsyncStorage.setItem('aria_chat_last_sync', String(maxTs)).catch(() => {});
+        return;
+      }
+
       if (message.type === 'skill_created') {
         const p = (message.payload || {}) as any;
         const skillMsg: ChatMessage = {
@@ -480,6 +527,13 @@ const ChatScreen: React.FC = () => {
         const dbgText = ((message.payload.text as string) || '').slice(0, 60);
         console.log('[Chat] chat-event sender=%s text=%s', sender || '(none)', dbgText);
 
+        // last-sync tracken — so dass beim Reconnect nicht wieder dieselbe
+        // Nachricht aus dem Server-Backup nachgeladen wird
+        if (sender === 'aria' || sender === 'user' || sender === 'stt') {
+          const ts = message.timestamp || Date.now();
+          AsyncStorage.setItem('aria_chat_last_sync', String(ts)).catch(() => {});
+        }
+
         // STT-Ergebnis: Transkribierten Text in die Sprach-Bubble schreiben.
         // WICHTIG: Nur die ERSTE noch unaufgeloeste Aufnahme matchen — sonst
         // wuerde bei zwei kurz hintereinander gesendeten Audios beide Bubbles
@@ -647,6 +701,15 @@ const ChatScreen: React.FC = () => {
 
     const unsubState = rvs.onStateChange((state) => {
       setConnectionState(state);
+      // Bei (re)connect: verpasste Chat-Eintraege seit der letzten gesehenen
+      // Nachricht abholen. lastChatSync wird beim Eingang von Nachrichten
+      // hochgezaehlt; default 0 = alle (gecappt auf Server-Limit).
+      if (state === 'connected') {
+        AsyncStorage.getItem('aria_chat_last_sync').then(stored => {
+          const since = stored ? parseInt(stored, 10) || 0 : 0;
+          rvs.send('chat_history_request' as any, { since, limit: 100 });
+        }).catch(() => {});
+      }
     });
 
     // Initalen Status setzen
@@ -830,6 +893,43 @@ const ChatScreen: React.FC = () => {
   // Inverted FlatList: neueste Nachrichten unten, kein manuelles Scrollen noetig
   const invertedMessages = useMemo(() => [...messages].reverse(), [messages]);
 
+  // Such-Treffer: alle Message-IDs die zur Query passen, in chronologischer
+  // Reihenfolge (aelteste zuerst). Bei Query-Change resetten wir den Index.
+  const searchMatchIds = useMemo(() => {
+    const q = searchQuery.trim().toLowerCase();
+    if (!q) return [] as string[];
+    return messages
+      .filter(m => (m.text || '').toLowerCase().includes(q))
+      .map(m => m.id);
+  }, [messages, searchQuery]);
+
+  useEffect(() => {
+    setSearchIndex(0);
+  }, [searchQuery]);
+
+  // Bei Index-Wechsel zu der entsprechenden Bubble scrollen
+  useEffect(() => {
+    if (!searchMatchIds.length) return;
+    const id = searchMatchIds[searchIndex];
+    if (!id) return;
+    // invertedMessages → index in der angezeigten Liste finden
+    const idx = invertedMessages.findIndex(m => m.id === id);
+    if (idx < 0 || !flatListRef.current) return;
+    try {
+      flatListRef.current.scrollToIndex({ index: idx, animated: true, viewPosition: 0.4 });
+    } catch {}
+  }, [searchIndex, searchMatchIds, invertedMessages]);
+
+  const activeSearchId = searchMatchIds[searchIndex] || '';
+  const gotoSearchPrev = () => {
+    if (!searchMatchIds.length) return;
+    setSearchIndex(i => (i - 1 + searchMatchIds.length) % searchMatchIds.length);
+  };
+  const gotoSearchNext = () => {
+    if (!searchMatchIds.length) return;
+    setSearchIndex(i => (i + 1) % searchMatchIds.length);
+  };
+
   // GPS-Position holen (optional)
   const getCurrentLocation = useCallback((): Promise<{ lat: number; lon: number } | null> => {
     if (!gpsEnabled) {
@@ -1081,12 +1181,16 @@ const ChatScreen: React.FC = () => {
       hour: '2-digit',
       minute: '2-digit',
     });
+    const isSearchHit = activeSearchId === item.id;
+    const searchHighlightStyle = isSearchHit
+      ? { borderWidth: 2, borderColor: '#FFD60A' }
+      : null;
 
     // Spezial-Bubble: ARIA hat einen Skill erstellt
     if (item.skillCreated) {
       const s = item.skillCreated;
       return (
-        <View style={[styles.messageBubble, styles.ariaBubble, {borderLeftWidth: 3, borderLeftColor: '#FFD60A'}]}>
+        <View style={[styles.messageBubble, styles.ariaBubble, {borderLeftWidth: 3, borderLeftColor: '#FFD60A'}, searchHighlightStyle]}>
           <Text style={{color: '#FFD60A', fontWeight: 'bold', fontSize: 14}}>
             {'🛠 ARIA hat einen neuen Skill erstellt'}
           </Text>
@@ -1106,7 +1210,7 @@ const ChatScreen: React.FC = () => {
     }
 
     return (
-      <View style={[styles.messageBubble, isUser ? styles.userBubble : styles.ariaBubble]}>
+      <View style={[styles.messageBubble, isUser ? styles.userBubble : styles.ariaBubble, searchHighlightStyle]}>
         {/* Anhang-Vorschau */}
         {item.attachments?.map((att, idx) => (
           <View key={idx}>
@@ -1280,7 +1384,7 @@ const ChatScreen: React.FC = () => {
         );
       })()}
 
-      {/* Suchleiste */}
+      {/* Suchleiste mit Treffer-Navigation */}
       {searchVisible && (
         <View style={styles.searchBar}>
           <TextInput
@@ -1291,17 +1395,43 @@ const ChatScreen: React.FC = () => {
             placeholderTextColor="#555570"
             autoFocus
           />
+          {searchQuery ? (
+            <Text style={{color: searchMatchIds.length ? '#0096FF' : '#555570', fontSize: 12, paddingHorizontal: 6}}>
+              {searchMatchIds.length ? `${searchIndex + 1}/${searchMatchIds.length}` : '0/0'}
+            </Text>
+          ) : null}
+          <TouchableOpacity
+            onPress={gotoSearchPrev}
+            disabled={!searchMatchIds.length}
+            style={{paddingHorizontal: 6, opacity: searchMatchIds.length ? 1 : 0.3}}
+          >
+            <Text style={{color: '#0096FF', fontSize: 18}}>{'▲'}</Text>
+          </TouchableOpacity>
+          <TouchableOpacity
+            onPress={gotoSearchNext}
+            disabled={!searchMatchIds.length}
+            style={{paddingHorizontal: 6, opacity: searchMatchIds.length ? 1 : 0.3}}
+          >
+            <Text style={{color: '#0096FF', fontSize: 18}}>{'▼'}</Text>
+          </TouchableOpacity>
           <TouchableOpacity onPress={() => { setSearchVisible(false); setSearchQuery(''); }}>
             <Text style={{color: '#FF3B30', fontSize: 14, paddingHorizontal: 8}}>X</Text>
           </TouchableOpacity>
         </View>
       )}
 
-      {/* Nachrichtenliste */}
+      {/* Nachrichtenliste — Suche FILTERT NICHT mehr, sondern hebt aktiven
+          Treffer hervor (siehe renderMessage: activeSearchId-Border). */}
       <FlatList
         ref={flatListRef}
         inverted
-        data={searchQuery ? messages.filter(m => m.text.toLowerCase().includes(searchQuery.toLowerCase())).reverse() : invertedMessages}
+        data={invertedMessages}
+        onScrollToIndexFailed={(info) => {
+          // Bei zu schnellem Aufruf vor Layout: einmal nachfassen
+          setTimeout(() => {
+            try { flatListRef.current?.scrollToIndex({ index: info.index, animated: true, viewPosition: 0.4 }); } catch {}
+          }, 200);
+        }}
         keyExtractor={item => item.id}
         renderItem={renderMessage}
         contentContainerStyle={styles.messageList}

android/src/screens/SettingsScreen.tsx

@@ -155,6 +155,9 @@ const SettingsScreen: React.FC = () => {
   const [fileManagerError, setFileManagerError] = useState('');
   const [fileManagerSearch, setFileManagerSearch] = useState('');
   const [fileManagerFilter, setFileManagerFilter] = useState<'all' | 'aria' | 'user'>('all');
+  const [fileManagerSelected, setFileManagerSelected] = useState<Set<string>>(new Set());
+  const fileZipPending = useRef<string | null>(null); // requestId fuer ZIP-Antwort
+  const [fileZipBusy, setFileZipBusy] = useState(false);
   const [voiceCloneVisible, setVoiceCloneVisible] = useState(false);
   const [tempPath, setTempPath] = useState('');
   // Sub-Screen Navigation: null = Hauptmenue, sonst eine der Section-IDs.
@@ -395,9 +398,39 @@ const SettingsScreen: React.FC = () => {
         const p: any = message.payload || {};
         if (p.path) {
           setFileManagerFiles(prev => prev.filter(f => f.path !== p.path));
+          setFileManagerSelected(prev => {
+            if (!prev.has(p.path)) return prev;
+            const next = new Set(prev);
+            next.delete(p.path);
+            return next;
+          });
         }
       }
 
+      // Datei-Manager: ZIP-Response (Multi-Download)
+      if (message.type === ('file_zip_response' as any)) {
+        const p: any = message.payload || {};
+        if (p.requestId && p.requestId !== fileZipPending.current) return; // veraltet
+        fileZipPending.current = null;
+        setFileZipBusy(false);
+        if (!p.ok || !p.data) {
+          ToastAndroid.show('ZIP fehlgeschlagen: ' + (p.error || 'unbekannt'), ToastAndroid.LONG);
+          return;
+        }
+        // base64 → in Downloads-Ordner schreiben
+        (async () => {
+          try {
+            const ts = new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
+            const dir = RNFS.DownloadDirectoryPath;
+            const filePath = `${dir}/aria-files-${ts}.zip`;
+            await RNFS.writeFile(filePath, p.data, 'base64');
+            ToastAndroid.show(`ZIP gespeichert: ${filePath} (${Math.round((p.size||0)/1024)} KB)`, ToastAndroid.LONG);
+          } catch (e: any) {
+            ToastAndroid.show('ZIP speichern fehlgeschlagen: ' + e.message, ToastAndroid.LONG);
+          }
+        })();
+      }
+
       // Voice wurde gespeichert → Liste neu laden + ggf. auswaehlen
       if (message.type === ('xtts_voice_saved' as any)) {
         const name = (message.payload as any).name as string;
@@ -644,9 +677,8 @@ const SettingsScreen: React.FC = () => {
           <Text style={{color:'#8888AA', textAlign:'center', marginTop:20}}>Lade...</Text>
         ) : fileManagerError ? (
           <Text style={{color:'#FF6B6B', textAlign:'center', marginTop:20}}>{fileManagerError}</Text>
-        ) : (
-          <ScrollView style={{flex:1}} contentContainerStyle={{padding:12}}>
-            {(() => {
+        ) : (() => {
+          // Visible files (Filter+Suche)
           let files = fileManagerFiles;
           if (fileManagerFilter === 'aria') files = files.filter(f => f.fromAria);
           else if (fileManagerFilter === 'user') files = files.filter(f => !f.fromAria);
@@ -654,15 +686,120 @@ const SettingsScreen: React.FC = () => {
             const q = fileManagerSearch.toLowerCase();
             files = files.filter(f => f.name.toLowerCase().includes(q));
           }
-              if (!files.length) {
-                return <Text style={{color:'#555570', textAlign:'center', marginTop:20}}>Keine Dateien</Text>;
-              }
+          const visiblePaths = files.map(f => f.path);
+          const selectedHere = visiblePaths.filter(p => fileManagerSelected.has(p));
+          const allSelected = visiblePaths.length > 0 && selectedHere.length === visiblePaths.length;
           const fmtSize = (b: number) => b < 1024 ? `${b} B` : b < 1024*1024 ? `${(b/1024).toFixed(1)} KB` : `${(b/1024/1024).toFixed(1)} MB`;
-              return files.map(f => (
-                <View key={f.path} style={{
-                  backgroundColor:'#0D0D1A', padding:12, borderRadius:8, marginBottom:8,
-                  flexDirection:'row', alignItems:'center', gap:8,
+
+          const toggleSelectAll = () => {
+            setFileManagerSelected(prev => {
+              const next = new Set(prev);
+              if (allSelected) visiblePaths.forEach(p => next.delete(p));
+              else visiblePaths.forEach(p => next.add(p));
+              return next;
+            });
+          };
+          const toggleOne = (p: string) => {
+            setFileManagerSelected(prev => {
+              const next = new Set(prev);
+              if (next.has(p)) next.delete(p);
+              else next.add(p);
+              return next;
+            });
+          };
+          const bulkDelete = () => {
+            const paths = [...fileManagerSelected];
+            if (!paths.length) return;
+            Alert.alert(
+              `${paths.length} Dateien löschen?`,
+              'In allen Chat-Bubbles werden sie als gelöscht markiert.',
+              [
+                { text: 'Abbrechen', style: 'cancel' },
+                { text: 'Löschen', style: 'destructive', onPress: () => {
+                  rvs.send('file_delete_batch_request' as any, { paths, requestId: 'batch-' + Date.now() });
+                  setFileManagerSelected(new Set());
+                  ToastAndroid.show(`${paths.length} Lösch-Befehle gesendet…`, ToastAndroid.SHORT);
+                }},
+              ],
+            );
+          };
+          const bulkDownload = () => {
+            const paths = [...fileManagerSelected];
+            if (!paths.length) return;
+            // 1 Datei: einfach via file_request (existing pattern). ZIP nur bei 2+.
+            if (paths.length === 1) {
+              rvs.send('file_request' as any, { serverPath: paths[0], requestId: 'single-' + Date.now() });
+              ToastAndroid.show('Datei wird heruntergeladen…', ToastAndroid.SHORT);
+              return;
+            }
+            const reqId = 'zip-' + Date.now();
+            fileZipPending.current = reqId;
+            setFileZipBusy(true);
+            rvs.send('file_zip_request' as any, { paths, requestId: reqId });
+            ToastAndroid.show(`ZIP wird erstellt (${paths.length} Dateien)…`, ToastAndroid.LONG);
+          };
+
+          return (
+            <>
+              {/* Bulk-Bar */}
+              <View style={{paddingHorizontal:12, paddingBottom:8, flexDirection:'row', alignItems:'center', gap:8, flexWrap:'wrap'}}>
+                <TouchableOpacity onPress={toggleSelectAll} style={{flexDirection:'row', alignItems:'center', gap:6, paddingVertical:4}}>
+                  <View style={{
+                    width:18, height:18, borderRadius:3,
+                    borderWidth:2, borderColor: allSelected ? '#0096FF' : '#555570',
+                    backgroundColor: allSelected ? '#0096FF' : 'transparent',
+                    alignItems:'center', justifyContent:'center',
                   }}>
+                    {allSelected && <Text style={{color:'#fff', fontSize:11, fontWeight:'bold'}}>✓</Text>}
+                  </View>
+                  <Text style={{color:'#E0E0F0', fontSize:13}}>Alle markieren</Text>
+                </TouchableOpacity>
+                {fileManagerSelected.size > 0 && (
+                  <>
+                    <Text style={{color:'#555570', fontSize:13}}>·</Text>
+                    <Text style={{color:'#0096FF', fontSize:13, fontWeight:'600'}}>{fileManagerSelected.size} ausgewählt</Text>
+                    <TouchableOpacity
+                      onPress={bulkDownload}
+                      disabled={fileZipBusy}
+                      style={{paddingVertical:4, paddingHorizontal:10, borderRadius:6, backgroundColor:'#0096FF22', opacity: fileZipBusy ? 0.5 : 1}}
+                    >
+                      <Text style={{color:'#0096FF', fontSize:12}}>{fileZipBusy ? '⏳ ZIP…' : (fileManagerSelected.size > 1 ? '⬇ ZIP' : '⬇ Download')}</Text>
+                    </TouchableOpacity>
+                    <TouchableOpacity
+                      onPress={bulkDelete}
+                      style={{paddingVertical:4, paddingHorizontal:10, borderRadius:6, backgroundColor:'#FF6B6B22'}}
+                    >
+                      <Text style={{color:'#FF6B6B', fontSize:12}}>🗑 Löschen</Text>
+                    </TouchableOpacity>
+                  </>
+                )}
+              </View>
+
+              <ScrollView style={{flex:1}} contentContainerStyle={{padding:12, paddingTop:0}}>
+                {!files.length ? (
+                  <Text style={{color:'#555570', textAlign:'center', marginTop:20}}>Keine Dateien</Text>
+                ) : files.map(f => {
+                  const selected = fileManagerSelected.has(f.path);
+                  return (
+                    <TouchableOpacity
+                      key={f.path}
+                      onPress={() => toggleOne(f.path)}
+                      activeOpacity={0.7}
+                      style={{
+                        backgroundColor: selected ? '#1E2C44' : '#0D0D1A',
+                        padding:12, borderRadius:8, marginBottom:8,
+                        flexDirection:'row', alignItems:'center', gap:8,
+                        borderWidth: selected ? 1 : 0, borderColor:'#0096FF',
+                      }}
+                    >
+                      <View style={{
+                        width:18, height:18, borderRadius:3,
+                        borderWidth:2, borderColor: selected ? '#0096FF' : '#555570',
+                        backgroundColor: selected ? '#0096FF' : 'transparent',
+                        alignItems:'center', justifyContent:'center',
+                      }}>
+                        {selected && <Text style={{color:'#fff', fontSize:11, fontWeight:'bold'}}>✓</Text>}
+                      </View>
                       <View style={{flex:1}}>
                         <View style={{flexDirection:'row', alignItems:'center'}}>
                           <View style={{
@@ -697,11 +834,13 @@ const SettingsScreen: React.FC = () => {
                       >
                         <Text style={{color:'#FF6B6B', fontSize:18}}>🗑</Text>
                       </TouchableOpacity>
-                </View>
-              ));
-            })()}
+                    </TouchableOpacity>
+                  );
+                })}
               </ScrollView>
-        )}
+            </>
+          );
+        })()}
       </View>
     </Modal>
     <ScrollView style={styles.container} contentContainerStyle={styles.content}>

aria-brain/main.py

@@ -29,6 +29,7 @@ from conversation import Conversation
 from proxy_client import ProxyClient
 from agent import Agent
 import skills as skills_mod
+import metrics as metrics_mod
 
 logging.basicConfig(level=logging.INFO, format="%(asctime)s [%(levelname)s] %(name)s: %(message)s")
 logger = logging.getLogger("aria-brain")
@@ -404,6 +405,15 @@ def conversation_distill_now():
     return agent().distill_old_turns()
 
 
+# ─── Call-Metrics (Token / Quota-Monitoring) ────────────────────────
+
+@app.get("/metrics/calls")
+def metrics_calls():
+    """Liefert Aggregate fuer 1h / 5h / 24h / 30d.
+    Jedes Window: {window_seconds, calls, tokens_in, tokens_out, by_model}."""
+    return metrics_mod.stats()
+
+
 # ─── Skills ─────────────────────────────────────────────────────────
 
 class SkillCreate(BaseModel):

aria-brain/metrics.py

@@ -0,0 +1,133 @@
+"""
+Call-Metrics fuer den Proxy-Client.
+
+Pro Claude-Call wird ein Eintrag in /data/metrics.jsonl angehaengt:
+
+  {"ts": <ms>, "model": "...", "in": <tokens_in_estimate>, "out": <tokens_out_estimate>}
+
+Tokens-Schaetzung: characters / 4 (Anthropic-Default-Heuristik). Nicht exakt
+aber gut genug fuer Quota-Monitoring. Wir summieren nicht in-memory weil
+der Brain-Container neugestartet werden kann — alles auf Disk.
+
+Auswertung via aggregate(window_seconds) — liefert {calls, tokens_in, tokens_out}
+fuer die letzten N Sekunden. Lazy gelesen, keine grossen Datenmengen erwartet
+(bei 1000 Calls/Tag ~70 KB pro Monat).
+
+Auto-Rotate: bei > 50k Zeilen werden die aeltesten 25k weggeschnitten.
+"""
+
+from __future__ import annotations
+
+import json
+import logging
+import os
+import time
+from pathlib import Path
+from typing import List
+
+logger = logging.getLogger(__name__)
+
+METRICS_FILE = Path(os.environ.get("METRICS_FILE", "/data/metrics.jsonl"))
+ROTATE_AT = 50_000
+ROTATE_KEEP = 25_000
+
+
+def _estimate_tokens(text: str) -> int:
+    """Anthropic-Default: ~4 chars pro Token. Grob genug."""
+    if not text:
+        return 0
+    return max(1, len(text) // 4)
+
+
+def _messages_tokens(messages: list) -> int:
+    total = 0
+    for m in messages:
+        # Pydantic-Model oder dict
+        if hasattr(m, "content"):
+            total += _estimate_tokens(m.content or "")
+        elif isinstance(m, dict):
+            c = m.get("content") or ""
+            if isinstance(c, str):
+                total += _estimate_tokens(c)
+    return total
+
+
+def log_call(model: str, messages_in: list, reply_text: str = "") -> None:
+    """Eine Call-Metric anhaengen. Robust gegen Fehler (silent fail)."""
+    try:
+        tokens_in = _messages_tokens(messages_in)
+        tokens_out = _estimate_tokens(reply_text)
+        line = json.dumps({
+            "ts": int(time.time() * 1000),
+            "model": model,
+            "in": tokens_in,
+            "out": tokens_out,
+        })
+        METRICS_FILE.parent.mkdir(parents=True, exist_ok=True)
+        with METRICS_FILE.open("a", encoding="utf-8") as f:
+            f.write(line + "\n")
+        # Sanftes Rotate ohne hohe IO-Kosten — nur alle 1000 Calls checken
+        if (tokens_in + tokens_out) % 1000 < 4:
+            _maybe_rotate()
+    except Exception as exc:
+        logger.warning("metrics.log_call: %s", exc)
+
+
+def _maybe_rotate() -> None:
+    try:
+        if not METRICS_FILE.exists():
+            return
+        with METRICS_FILE.open("r", encoding="utf-8") as f:
+            lines = f.readlines()
+        if len(lines) > ROTATE_AT:
+            keep = lines[-ROTATE_KEEP:]
+            METRICS_FILE.write_text("".join(keep), encoding="utf-8")
+            logger.info("metrics rotated: %d → %d Zeilen", len(lines), len(keep))
+    except Exception as exc:
+        logger.warning("metrics rotate: %s", exc)
+
+
+def aggregate(window_seconds: int) -> dict:
+    """Aggregiert die Calls der letzten N Sekunden."""
+    now_ms = int(time.time() * 1000)
+    cutoff_ms = now_ms - (window_seconds * 1000)
+    calls = 0
+    tokens_in = 0
+    tokens_out = 0
+    by_model: dict[str, int] = {}
+    if METRICS_FILE.exists():
+        try:
+            for raw in METRICS_FILE.read_text(encoding="utf-8").splitlines():
+                raw = raw.strip()
+                if not raw:
+                    continue
+                try:
+                    obj = json.loads(raw)
+                except Exception:
+                    continue
+                if obj.get("ts", 0) < cutoff_ms:
+                    continue
+                calls += 1
+                tokens_in += int(obj.get("in") or 0)
+                tokens_out += int(obj.get("out") or 0)
+                m = obj.get("model", "?")
+                by_model[m] = by_model.get(m, 0) + 1
+        except Exception as exc:
+            logger.warning("metrics aggregate: %s", exc)
+    return {
+        "window_seconds": window_seconds,
+        "calls": calls,
+        "tokens_in": tokens_in,
+        "tokens_out": tokens_out,
+        "by_model": by_model,
+    }
+
+
+def stats() -> dict:
+    """Komplett-Snapshot mit den drei wichtigsten Fenstern."""
+    return {
+        "h1": aggregate(3600),
+        "h5": aggregate(5 * 3600),
+        "h24": aggregate(24 * 3600),
+        "d30": aggregate(30 * 24 * 3600),
+    }

aria-brain/proxy_client.py

@@ -18,6 +18,8 @@ from typing import List, Optional
 import httpx
 from pydantic import BaseModel
 
+import metrics
+
 logger = logging.getLogger(__name__)
 
 RUNTIME_CONFIG_FILE = Path("/shared/config/runtime.json")
@@ -135,6 +137,9 @@ class ProxyClient:
                 "arguments": args,
             })
 
+        # Call-Metric anhaengen — Token-Schaetzung fuer Quota-Monitoring
+        metrics.log_call(payload["model"], messages, content or "")
+
         return ProxyResult(content=content or "", tool_calls=tool_calls, finish_reason=finish_reason)
 
     def close(self):

bridge/aria_bridge.py

@@ -919,6 +919,56 @@ class ARIABridge:
         except Exception as e:
             logger.warning("[rvs] file_from_aria broadcast fehlgeschlagen: %s", e)
 
+    def _append_chat_backup(self, entry: dict) -> None:
+        """Schreibt eine Zeile in /shared/config/chat_backup.jsonl.
+        Wird von Diagnostic + App als History-Quelle gelesen.
+        entry braucht mindestens {role, text}; ts wird ergaenzt."""
+        try:
+            line = {"ts": int(asyncio.get_event_loop().time() * 1000)}
+            line.update(entry)
+            Path("/shared/config").mkdir(parents=True, exist_ok=True)
+            with open("/shared/config/chat_backup.jsonl", "a", encoding="utf-8") as f:
+                f.write(json.dumps(line, ensure_ascii=False) + "\n")
+        except Exception as e:
+            logger.warning("[backup] chat_backup-Write fehlgeschlagen: %s", e)
+
+    def _read_chat_backup_since(self, since_ms: int, limit: int = 100) -> list[dict]:
+        """Liest chat_backup.jsonl, gibt Eintraege > since_ms zurueck, max limit neueste.
+        File-deleted-Marker werden honoriert: vor einem file_deleted-Marker liegende
+        Eintraege mit gleichem Pfad werden als deleted markiert."""
+        path = Path("/shared/config/chat_backup.jsonl")
+        if not path.exists():
+            return []
+        try:
+            lines = path.read_text(encoding="utf-8").splitlines()
+        except Exception as e:
+            logger.warning("[backup] Lesen fehlgeschlagen: %s", e)
+            return []
+        out: list[dict] = []
+        for raw in lines:
+            raw = raw.strip()
+            if not raw:
+                continue
+            try:
+                obj = json.loads(raw)
+            except Exception:
+                continue
+            ts = obj.get("ts") or 0
+            if ts <= since_ms:
+                continue
+            # file_deleted-Marker: nicht als Chat ausliefern, aber an die App schicken
+            # damit sie ihre Bubbles updaten kann (separater Pfad existiert ja schon)
+            if obj.get("type") == "file_deleted":
+                continue
+            role = obj.get("role")
+            if role not in ("user", "assistant"):
+                continue
+            out.append(obj)
+        # Auf "limit" neueste cappen
+        if len(out) > limit:
+            out = out[-limit:]
+        return out
+
     async def _process_core_response(self, text: str, payload: dict) -> None:
         """Verarbeitet eine fertige Antwort von aria-core.
 
@@ -933,6 +983,9 @@ class ARIABridge:
             logger.info("[core] NO_REPLY empfangen — Antwort still verworfen")
             return
 
+        # Antwort in chat_backup.jsonl loggen (cleaned text, ohne File-Marker)
+        # — passiert weiter unten nach extract_file_markers
+
         # File-Marker `[FILE: /shared/uploads/aria_xyz.pdf]` extrahieren —
         # ARIA legt damit Dateien fuer den User bereit (Bilder, PDFs, etc.).
         # Der Marker wird aus dem Antworttext entfernt (TTS soll ihn nicht
@@ -949,6 +1002,15 @@ class ARIABridge:
                     f"aber nicht erstellt:\n{missing_list}\n"
                     "Bitte ARIA bitten, sie wirklich zu schreiben.").strip()
 
+        # Antwort in chat_backup.jsonl loggen (gecleanter Text, ohne File-Marker)
+        # File-Marker werden separat als file_from_aria-Events ausgeliefert.
+        self._append_chat_backup({
+            "role": "assistant",
+            "text": text,
+            "files": [{"serverPath": f["serverPath"], "name": f["name"],
+                       "mimeType": f["mimeType"], "size": f["size"]} for f in aria_files],
+        })
+
         metadata = payload.get("metadata", {})
         is_critical = metadata.get("critical", False)
         requested_voice = metadata.get("voice")
@@ -1184,6 +1246,10 @@ class ARIABridge:
         payload = json.dumps({"message": text, "source": source}).encode("utf-8")
         logger.info("[brain] chat ← %s '%s'", source, text[:80])
 
+        # User-Nachricht in chat_backup.jsonl loggen — wird beim App-Reconnect
+        # / Diagnostic-Reload als History-Quelle gelesen.
+        self._append_chat_backup({"role": "user", "text": text, "source": source})
+
         # agent_activity broadcasten (App + Diagnostic "ARIA denkt..." Indicator)
         await self._send_to_rvs({
             "type": "agent_activity",
@@ -1657,6 +1723,20 @@ class ARIABridge:
             except Exception as e:
                 logger.warning("[rvs] file_saved konnte nicht an App gesendet werden: %s", e)
 
+        elif msg_type == "chat_history_request":
+            # App holt verpasste Nachrichten beim Reconnect.
+            # payload: {since: <ts_ms>}, default 0 = alles
+            since = int(payload.get("since") or 0)
+            limit = int(payload.get("limit") or 100)
+            logger.info("[rvs] chat_history_request since=%d limit=%d", since, limit)
+            messages = self._read_chat_backup_since(since, limit=limit)
+            await self._send_to_rvs({
+                "type": "chat_history_response",
+                "payload": {"messages": messages, "since": since},
+                "timestamp": int(asyncio.get_event_loop().time() * 1000),
+            })
+            return
+
         elif msg_type == "file_list_request":
             # App fragt die Liste aller /shared/uploads/-Dateien an.
             logger.info("[rvs] file_list_request von App")
@@ -1681,6 +1761,89 @@ class ARIABridge:
                 logger.warning("[rvs] file_list_request: %s", e)
             return
 
+        elif msg_type == "file_delete_batch_request":
+            # App will mehrere Dateien auf einmal loeschen.
+            paths = payload.get("paths") or []
+            req_id = payload.get("requestId", "")
+            logger.warning("[rvs] file_delete_batch_request: %d Pfade", len(paths))
+            try:
+                body_bytes = json.dumps({"paths": paths}).encode("utf-8")
+                req = urllib.request.Request(
+                    "http://localhost:3001/api/files-delete-batch",
+                    data=body_bytes, method="POST",
+                    headers={"Content-Type": "application/json"},
+                )
+                def _do_delete():
+                    try:
+                        with urllib.request.urlopen(req, timeout=30) as resp:
+                            return resp.status, resp.read().decode("utf-8", errors="ignore")
+                    except Exception as e:
+                        return None, str(e)
+                status, body = await asyncio.get_event_loop().run_in_executor(None, _do_delete)
+                logger.info("[rvs] file_delete_batch result: status=%s", status)
+                # Server broadcastet file_deleted pro Pfad — App kriegt das via persistente RVS.
+                # Wir bestaetigen zusaetzlich mit Counts.
+                try: d = json.loads(body or "{}")
+                except: d = {}
+                await self._send_to_rvs({
+                    "type": "file_delete_batch_response",
+                    "payload": {
+                        "requestId": req_id,
+                        "deleted": len(d.get("deleted", [])),
+                        "errors": d.get("errors", []),
+                    },
+                    "timestamp": int(asyncio.get_event_loop().time() * 1000),
+                })
+            except Exception as e:
+                logger.warning("[rvs] file_delete_batch_request: %s", e)
+            return
+
+        elif msg_type == "file_zip_request":
+            # App will mehrere Dateien als ZIP. Bridge holt ZIP von Diagnostic
+            # via HTTP, kodiert base64 und schickt zurueck. Cap auf 30 MB
+            # ZIP-Groesse damit RVS nicht erstickt.
+            paths = payload.get("paths") or []
+            req_id = payload.get("requestId", "")
+            logger.warning("[rvs] file_zip_request: %d Pfade (req=%s)", len(paths), req_id)
+
+            def _do_zip():
+                try:
+                    body_bytes = json.dumps({"paths": paths}).encode("utf-8")
+                    req = urllib.request.Request(
+                        "http://localhost:3001/api/files-download-zip",
+                        data=body_bytes, method="POST",
+                        headers={"Content-Type": "application/json"},
+                    )
+                    with urllib.request.urlopen(req, timeout=120) as resp:
+                        if resp.status != 200:
+                            return None, f"HTTP {resp.status}"
+                        data = resp.read()
+                        if len(data) > 30 * 1024 * 1024:
+                            return None, f"ZIP zu gross ({len(data) // (1024*1024)} MB > 30 MB)"
+                        return data, None
+                except Exception as e:
+                    return None, str(e)
+
+            data, err = await asyncio.get_event_loop().run_in_executor(None, _do_zip)
+            if err or data is None:
+                await self._send_to_rvs({
+                    "type": "file_zip_response",
+                    "payload": {"requestId": req_id, "ok": False, "error": err or "leer"},
+                    "timestamp": int(asyncio.get_event_loop().time() * 1000),
+                })
+                return
+            import base64 as _b64
+            await self._send_to_rvs({
+                "type": "file_zip_response",
+                "payload": {
+                    "requestId": req_id, "ok": True,
+                    "size": len(data),
+                    "data": _b64.b64encode(data).decode("ascii"),
+                },
+                "timestamp": int(asyncio.get_event_loop().time() * 1000),
+            })
+            return
+
         elif msg_type == "file_delete_request":
             # App will eine Datei loeschen — leite an Diagnostic.
             p = payload.get("path", "")

diagnostic/Dockerfile

@@ -1,5 +1,7 @@
 FROM node:22-alpine
 WORKDIR /app
+# zip fuer Multi-Datei-Downloads (Brain-Export nutzt tar.gz, Datei-Manager zip)
+RUN apk add --no-cache zip
 COPY package.json ./
 RUN npm install --production
 COPY . .

diagnostic/index.html

@@ -120,6 +120,24 @@
     /* Settings */
     .settings-section { margin-bottom:20px; }
     .settings-section h2 { margin-bottom:12px; }
+    /* Metric-Zellen im Token/Calls-Card */
+    .metric-cell { background:#0D0D1A; border:1px solid #1E1E2E; border-radius:6px; padding:8px 10px; }
+    .metric-cell .metric-label { color:#8888AA; font-size:10px; }
+    .metric-cell .metric-value { color:#E0E0F0; font-size:18px; font-weight:bold; margin-top:2px; }
+    .metric-cell .metric-sub { color:#555570; font-size:10px; margin-top:2px; font-family:monospace; }
+    .metric-cell.warn { border-color:#FFD60A; background:rgba(255,214,10,0.08); }
+    .metric-cell.crit { border-color:#FF6B6B; background:rgba(255,107,107,0.10); }
+
+    /* Info-Button: kleines (i) neben Ueberschriften */
+    .info-btn { background:transparent; border:1px solid #0096FF; color:#0096FF; width:20px; height:20px;
+                border-radius:50%; padding:0; font-size:11px; font-weight:bold; cursor:pointer; margin-left:6px;
+                line-height:18px; text-align:center; vertical-align:middle; font-family:serif; }
+    .info-btn:hover { background:#0096FF; color:#fff; }
+    .info-btn-small { background:transparent; border:1px solid #0096FF44; color:#0096FF; width:14px; height:14px;
+                      border-radius:50%; padding:0; font-size:9px; font-weight:bold; cursor:pointer; margin-left:4px;
+                      line-height:11px; text-align:center; vertical-align:middle; font-family:serif; }
+    .info-btn-small:hover { background:#0096FF; color:#fff; }
+
     .toggle { position:relative; width:40px; height:22px; flex-shrink:0; margin-left:8px; }
     .toggle input { opacity:0; width:0; height:0; }
     .toggle .slider { position:absolute; cursor:pointer; top:0; left:0; right:0; bottom:0;
@@ -460,14 +478,9 @@
 
     <!-- Stimmen -->
     <div class="settings-section">
-      <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:12px;">
-        <h2 style="margin:0;">Sprachausgabe</h2>
-        <div style="display:flex;gap:6px;">
-          <button class="btn secondary" onclick="exportVoiceSettings()" style="padding:4px 10px;font-size:11px;" title="voice_config.json + highlight_triggers herunterladen">⬇ Export</button>
+      <h2>Sprachausgabe</h2>
+      <!-- file-input fuer Import (versteckt, wird vom Button im Details-Block getriggert) -->
       <input type="file" id="voice-settings-import-file" accept=".json,application/json" style="display:none" onchange="importVoiceSettings(event)">
-          <button class="btn secondary" onclick="document.getElementById('voice-settings-import-file').click()" style="padding:4px 10px;font-size:11px;">⬆ Import</button>
-        </div>
-      </div>
       <div class="card" style="max-width:500px;">
         <!-- TTS aktiv (global) -->
         <div style="display:flex;align-items:center;gap:12px;margin-bottom:12px;">
@@ -536,9 +549,17 @@
               </div>
             </div>
 
-            <button class="btn primary" onclick="sendVoiceConfig()" style="padding:6px 14px;font-size:12px;align-self:flex-start;margin-top:6px;">
+            <div style="display:flex;gap:8px;align-items:center;margin-top:6px;flex-wrap:wrap;">
+              <button class="btn primary" onclick="sendVoiceConfig()" style="padding:6px 14px;font-size:12px;">
                 Anwenden
               </button>
+              <button class="btn secondary" onclick="exportVoiceSettings()" style="padding:6px 14px;font-size:12px;" title="voice_config.json + highlight_triggers als JSON-Bundle herunterladen">
+                ⬇ Export
+              </button>
+              <button class="btn secondary" onclick="document.getElementById('voice-settings-import-file').click()" style="padding:6px 14px;font-size:12px;" title="JSON-Bundle einspielen">
+                ⬆ Import
+              </button>
+            </div>
           </div>
         </details>
 
@@ -592,14 +613,14 @@
       </div>
     </div>
 
-    <!-- Runtime-Konfiguration (migriert von .env) -->
+    <!-- Runtime-Konfiguration -->
     <div class="settings-section">
       <h2>Runtime-Konfiguration</h2>
       <div style="font-size:11px;color:#8888AA;margin-bottom:8px;">
         Werte werden in <code>/shared/config/runtime.json</code> persistiert und
-        ueberschreiben die ENV-Variablen aus <code>aria.env</code>. Bridge liest
-        sie beim naechsten Start — nach Aenderung <b>Bridge-Container neu starten</b>
-        (Diagnostic-Container bleibt auf ENV).
+        ueberschreiben die ENV-Variablen aus der <code>.env</code>. Bridge und Brain
+        lesen sie beim Start — nach Aenderung den jeweiligen Container neu starten
+        (Reparatur-Section oben).
       </div>
       <div class="card" style="max-width:600px;">
         <div style="display:grid;grid-template-columns:140px 1fr;gap:8px 10px;align-items:center;font-size:13px;">
@@ -689,20 +710,53 @@
   <div id="tab-brain" class="main-tab">
 
     <div class="settings-section">
-      <h2>Gehirn — Status</h2>
+      <h2>Gehirn — Status <button class="info-btn" onclick="showInfo('brain-status')" title="Was bedeutet was?">ℹ</button></h2>
       <div class="card">
         <div id="brain-status" style="font-size:12px;color:#8888AA;margin-bottom:8px;">(Lade...)</div>
-        <div id="conversation-status" style="font-size:12px;color:#8888AA;margin-bottom:8px;"></div>
+        <div id="conversation-status" style="font-size:12px;color:#8888AA;margin-bottom:8px;">
+          <button class="info-btn-small" onclick="showInfo('conversation')" title="Konversation — wie funktioniert das?">ℹ</button>
+        </div>
         <div style="display:flex;gap:6px;flex-wrap:wrap;">
           <button class="btn secondary" onclick="loadBrainStatus()" style="padding:4px 12px;font-size:11px;">Aktualisieren</button>
           <button class="btn secondary" onclick="distillNow()" style="padding:4px 12px;font-size:11px;color:#FFD60A;border-color:#FFD60A;" title="Destilliert die aeltesten Turns sofort zu fact-Memories">⚗ Jetzt destillieren</button>
-          <button class="btn secondary" onclick="resetConversation()" style="padding:4px 12px;font-size:11px;color:#FF6B6B;border-color:#FF6B6B;" title="Rolling-Window leeren — destillierte Facts bleiben in der DB">🧹 Konversation leeren</button>
+          <button class="btn secondary" onclick="resetConversation()" style="padding:4px 12px;font-size:11px;color:#FF6B6B;border-color:#FF6B6B;" title="Leert ARIAs Rolling-Window (Brain) + die Chat-Anzeige (chat_backup). Memories bleiben in der Vector-DB.">🧹 Konversation komplett zurücksetzen</button>
         </div>
       </div>
     </div>
 
     <div class="settings-section">
-      <h2>Bootstrap & Migration</h2>
+      <h2>Token / Calls <button class="info-btn" onclick="showInfo('metrics')" title="Wie zaehlen die Calls? Was sind die Subscription-Limits?">ℹ</button></h2>
+      <div class="card">
+        <div style="display:flex;gap:10px;flex-wrap:wrap;align-items:center;margin-bottom:10px;">
+          <label style="color:#8888AA;font-size:12px;">Anthropic-Plan:</label>
+          <select id="metrics-plan" onchange="onMetricsPlanChange()" style="background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:4px;padding:6px;font-family:inherit;font-size:12px;">
+            <option value="pro">Pro (~45 / 5h)</option>
+            <option value="max5" selected>Max 5x (~225 / 5h)</option>
+            <option value="max20">Max 20x (~900 / 5h)</option>
+            <option value="custom">Custom...</option>
+          </select>
+          <span id="metrics-custom-row" style="display:none;">
+            <label style="color:#8888AA;font-size:12px;">Custom 5h-Limit:</label>
+            <input type="number" id="metrics-custom-limit" min="10" max="5000" step="10" style="width:80px;background:#1E1E2E;color:#fff;border:1px solid #2A2A3E;border-radius:4px;padding:4px;">
+          </span>
+          <button class="btn secondary" onclick="loadMetrics()" style="padding:4px 10px;font-size:11px;margin-left:auto;">Aktualisieren</button>
+        </div>
+        <div id="metrics-bar" style="margin-bottom:10px;"></div>
+        <div id="metrics-grid" style="display:grid;grid-template-columns:repeat(auto-fit,minmax(140px,1fr));gap:8px;font-size:12px;">
+          <div class="metric-cell" id="metrics-h1"><div class="metric-label">letzte 1h</div><div class="metric-value">–</div></div>
+          <div class="metric-cell" id="metrics-h5"><div class="metric-label">letzte 5h (Quota-Fenster)</div><div class="metric-value">–</div></div>
+          <div class="metric-cell" id="metrics-h24"><div class="metric-label">letzte 24h</div><div class="metric-value">–</div></div>
+          <div class="metric-cell" id="metrics-d30"><div class="metric-label">letzte 30 Tage</div><div class="metric-value">–</div></div>
+        </div>
+        <div style="margin-top:8px;font-size:10px;color:#555570;line-height:1.5;">
+          Pro User-Frage = mind. 1 Claude-Call. Bei Tool-Use (Skills) bis zu 8 Calls. Plus 1 Destillat-Call bei langen Konversationen.
+          Token-Werte sind Schaetzung (chars/4) — nicht exakt, aber gut genug fuer Quota-Monitoring.
+        </div>
+      </div>
+    </div>
+
+    <div class="settings-section">
+      <h2>Bootstrap & Migration <button class="info-btn" onclick="showInfo('bootstrap')" title="Was sind die drei Wege?">ℹ</button></h2>
       <div class="card" style="line-height:1.6;">
         <p style="color:#8888AA;font-size:12px;margin:0 0 12px;">
           Drei Wege ARIA mit "Grundregeln" zu füttern — von leichtgewichtig bis Voll-Wiederherstellung.
@@ -754,7 +808,7 @@
 
     <div class="settings-section">
       <div style="display:flex;justify-content:space-between;align-items:center;margin-bottom:8px;">
-        <h2 style="margin:0;">Memories</h2>
+        <h2 style="margin:0;">Memories <button class="info-btn" onclick="showInfo('memories')" title="Hot vs. Cold — wie funktioniert das Gedaechtnis?">ℹ</button></h2>
         <div>
           <button class="btn secondary" onclick="resetBrainFilters();loadBrainMemoryList()" style="padding:4px 10px;font-size:11px;">Aktualisieren</button>
           <button class="btn" onclick="openMemoryModal()" style="padding:4px 10px;font-size:11px;">+ Neu</button>
@@ -845,6 +899,17 @@
     </div>
   </div><!-- /tab-skills -->
 
+  <!-- Generisches Info-Modal — wird via openInfoModal(title, html) gefuellt -->
+  <div class="modal-overlay" id="info-modal">
+    <div class="modal-box" style="max-width:640px;">
+      <div class="modal-header">
+        <h3 id="info-modal-title">Info</h3>
+        <button class="modal-close" onclick="closeInfoModal()">&times;</button>
+      </div>
+      <div class="modal-body" id="info-modal-body" style="padding:16px;font-size:13px;color:#E0E0F0;line-height:1.6;"></div>
+    </div>
+  </div>
+
   <!-- Memory-Modal (Neu + Editieren) -->
   <div class="modal-overlay" id="memory-modal">
     <div class="modal-box" style="max-width:640px;">
@@ -993,7 +1058,16 @@
       ws.onopen = () => {
         addLog('info', 'browser', 'Verbunden mit Diagnostic Server');
         send({ action: 'load_chat_history' });
+        // Brain-Card initial laden (sonst zeigt sie "Lade...")
+        try { loadBrainStatus(); } catch {}
       };
+
+      // Brain-Status periodisch refreshen damit die Card live bleibt
+      if (!window.__brainStatusInterval) {
+        window.__brainStatusInterval = setInterval(() => {
+          try { loadBrainStatus(); } catch {}
+        }, 15000);
+      }
       ws.onclose = () => {
         addLog('warn', 'browser', 'Verbindung zum Diagnostic Server verloren — Reconnect in 2s');
         setTimeout(connectWS, 2000);
@@ -1230,12 +1304,7 @@
           el.textContent = msg.error ? `Fehler: ${msg.error}` : msg.info;
           return;
         }
-        if (msg.type === 'core_auth') {
-          const el = document.getElementById('core-auth');
-          el.style.display = 'block';
-          el.textContent = msg.error ? `Fehler: ${msg.error}` : msg.info;
-          return;
-        }
+        // core_auth WS-Event entfernt — aria-core ist raus.
         // Live SSH + Desktop
         if (msg.type?.startsWith('live_ssh_')) { handleLiveSSH(msg); return; }
         if (msg.type === 'desktop_status') { handleDesktop(msg); return; }
@@ -1310,32 +1379,15 @@
           return;
         }
 
-        // Settings (permissions_list/permissions_saved entfernt — Alles-oder-Nichts via --dangerously-skip-permissions)
-        if (msg.type === 'session_restarted') {
-          const s = document.getElementById('perms-status');
-          s.style.display = 'block';
-          if (msg.status === 'restarting') {
-            s.style.color = '#FFD60A';
-            s.textContent = 'aria-core wird neu gestartet...';
-          } else if (msg.status === 'ok') {
-            s.style.color = '#34C759';
-            s.textContent = msg.info || 'Session neu gestartet!';
-          } else {
-            s.style.color = '#FF6B6B';
-            s.textContent = 'Restart fehlgeschlagen: ' + (msg.error || '?');
-          }
-          return;
-        }
+        // session_restarted / openclaw_config WS-Events entfernt — aria-core ist raus.
         if (msg.type === 'model_info') {
           const el = document.getElementById('setting-model');
           const st = document.getElementById('model-status');
-          if (msg.model) el.value = msg.model;
-          st.textContent = msg.info || '';
+          if (el && msg.model) el.value = msg.model;
+          if (st) {
+            st.textContent = msg.info || msg.error || '';
             st.style.color = msg.error ? '#FF6B6B' : '#34C759';
-          return;
           }
-        if (msg.type === 'openclaw_config') {
-          document.getElementById('openclaw-config').textContent = msg.config || msg.error || '(leer)';
           return;
         }
         if (msg.type === 'response') { return; }
@@ -1422,15 +1474,12 @@
       openTermModal('Claude Login Terminal (aria-proxy)', { action: 'proxy_login' });
     }
 
-    function openCoreTerminal() {
-      document.getElementById('btn-core-term').disabled = true;
-      openTermModal('aria-core Shell', { action: 'core_terminal' });
-    }
+    // openCoreTerminal entfernt — aria-core ist raus.
 
     function closeTermModal() {
       document.getElementById('term-modal').classList.remove('open');
-      document.getElementById('btn-proxy-login').disabled = false;
-      document.getElementById('btn-core-term').disabled = false;
+      const proxyBtn = document.getElementById('btn-proxy-login');
+      if (proxyBtn) proxyBtn.disabled = false;
       // Terminal aufraeumen
       if (term) { term.dispose(); term = null; }
     }
@@ -1496,12 +1545,8 @@
     }
 
     function updateState(state) {
-      // Gateway
-      const gw = state.gateway || {};
-      document.getElementById('gw-dot').className = `dot ${gw.status || 'disconnected'}`;
-      document.getElementById('gw-status').textContent =
-        (STATUS_LABELS[gw.status] || gw.status) + (gw.handshakeOk ? ' (Handshake OK)' : '');
-      document.getElementById('gw-error').textContent = gw.lastError || '';
+      // Brain-Card holt ihre Daten via loadBrainStatus() (fetch /api/brain/health).
+      // state.gateway ist Reststruktur aus OpenClaw-Zeit — wir ignorieren das hier.
 
       // RVS
       const rvs = state.rvs || {};
@@ -2280,7 +2325,6 @@
         document.getElementById('rc-rvs-tls').value = String(cfg.RVS_TLS) === 'false' ? 'false' : 'true';
         document.getElementById('rc-rvs-token').value = cfg.RVS_TOKEN || '';
         document.getElementById('rc-auth-token').value = cfg.ARIA_AUTH_TOKEN || '';
-        document.getElementById('rc-compact-after').value = cfg.compactAfterMessages != null ? cfg.compactAfterMessages : 140;
         statusEl.textContent = 'Geladen.';
         statusEl.style.color = '#34C759';
         loadOnboardingQR(); // QR bei Config-Wechsel neu generieren
@@ -2293,14 +2337,12 @@
     async function saveRuntimeConfig() {
       const statusEl = document.getElementById('rc-status');
       statusEl.textContent = 'Speichere...';
-      const compactRaw = document.getElementById('rc-compact-after').value.trim();
       const patch = {
         RVS_HOST: document.getElementById('rc-rvs-host').value.trim(),
         RVS_PORT: document.getElementById('rc-rvs-port').value.trim(),
         RVS_TLS: document.getElementById('rc-rvs-tls').value,
         RVS_TOKEN: document.getElementById('rc-rvs-token').value.trim(),
         ARIA_AUTH_TOKEN: document.getElementById('rc-auth-token').value.trim(),
-        compactAfterMessages: compactRaw === '' ? 140 : Math.max(0, parseInt(compactRaw, 10) || 0),
       };
       try {
         const resp = await fetch('/api/runtime-config', {
@@ -2617,6 +2659,7 @@
         loadBrainStatus();
         loadBrainMemoryList();
         refreshImportFiles();
+        loadMetrics();
       } else if (tab === 'files') {
         loadFiles();
       } else if (tab === 'skills') {
@@ -2807,6 +2850,7 @@
 
     // ── Datei-Manager ──────────────────────────────────────
     let filesCache = [];
+    const filesSelected = new Set();  // Set of paths
 
     async function loadFiles() {
       const listEl = document.getElementById('files-list');
@@ -2816,23 +2860,62 @@
         const d = await r.json();
         if (!d.ok) throw new Error(d.error || 'Unbekannter Fehler');
         filesCache = d.files || [];
+        // Selection bereinigen — nicht mehr existierende Pfade raus
+        const existing = new Set(filesCache.map(f => f.path));
+        for (const p of [...filesSelected]) if (!existing.has(p)) filesSelected.delete(p);
         renderFilesList();
       } catch (e) {
         if (listEl) listEl.innerHTML = `🔴 ${e.message}`;
       }
     }
 
-    function renderFilesList() {
-      const listEl = document.getElementById('files-list');
-      const infoEl = document.getElementById('files-info');
-      if (!listEl) return;
+    function getVisibleFiles() {
       const q = (document.getElementById('files-search').value || '').toLowerCase();
       const filter = document.getElementById('files-filter').value;
       let files = filesCache.slice();
       if (filter === 'aria') files = files.filter(f => f.fromAria);
       else if (filter === 'user') files = files.filter(f => !f.fromAria);
       if (q) files = files.filter(f => f.name.toLowerCase().includes(q));
-      if (infoEl) infoEl.textContent = `${files.length} von ${filesCache.length} Dateien`;
+      return files;
+    }
+
+    function toggleFileSelect(path) {
+      if (filesSelected.has(path)) filesSelected.delete(path);
+      else filesSelected.add(path);
+      renderFilesList();
+    }
+
+    function toggleSelectAll() {
+      const visible = getVisibleFiles();
+      const allSelected = visible.length > 0 && visible.every(f => filesSelected.has(f.path));
+      if (allSelected) visible.forEach(f => filesSelected.delete(f.path));
+      else visible.forEach(f => filesSelected.add(f.path));
+      renderFilesList();
+    }
+
+    function renderFilesList() {
+      const listEl = document.getElementById('files-list');
+      const infoEl = document.getElementById('files-info');
+      if (!listEl) return;
+      const files = getVisibleFiles();
+      const selectedCount = files.filter(f => filesSelected.has(f.path)).length;
+      const allChecked = files.length > 0 && selectedCount === files.length;
+      const bulkBtns = selectedCount > 0
+        ? `<span style="color:#0096FF;font-weight:bold;">${selectedCount} ausgewählt</span>
+           <button class="btn" onclick="downloadSelected()" style="padding:2px 10px;font-size:11px;">⬇ Download ${selectedCount > 1 ? '(ZIP)' : ''}</button>
+           <button class="btn secondary" onclick="deleteSelected()" style="padding:2px 10px;font-size:11px;color:#FF6B6B;border-color:#FF6B6B;">🗑 Auswahl löschen</button>`
+        : '';
+      if (infoEl) {
+        infoEl.innerHTML = `
+          <label style="display:inline-flex;align-items:center;gap:6px;cursor:pointer;color:#E0E0F0;">
+            <input type="checkbox" ${allChecked ? 'checked' : ''} onchange="toggleSelectAll()" style="cursor:pointer;">
+            <span>Alle markieren</span>
+          </label>
+          <span style="margin:0 8px;color:#555570;">·</span>
+          <span>${files.length} von ${filesCache.length} Dateien</span>
+          ${bulkBtns ? '<span style="margin:0 8px;color:#555570;">·</span>' + bulkBtns : ''}
+        `;
+      }
       if (!files.length) {
         listEl.innerHTML = '(Keine Dateien gefunden)';
         return;
@@ -2843,17 +2926,74 @@
         const badge = f.fromAria
           ? '<span style="background:#0096FF22;color:#0096FF;padding:1px 6px;border-radius:3px;font-size:10px;margin-right:6px;">ARIA</span>'
           : '<span style="background:#34C75922;color:#34C759;padding:1px 6px;border-radius:3px;font-size:10px;margin-right:6px;">User</span>';
-        return `<div style="padding:8px 0;border-bottom:1px solid #1E1E2E;display:flex;gap:6px;align-items:center;">
+        const checked = filesSelected.has(f.path) ? 'checked' : '';
+        const pathEsc = escapeHtml(f.path);
+        return `<div style="padding:8px 0;border-bottom:1px solid #1E1E2E;display:flex;gap:8px;align-items:center;">
+          <input type="checkbox" ${checked} onchange="toggleFileSelect('${pathEsc}')" style="cursor:pointer;flex-shrink:0;">
           <div style="flex:1;min-width:0;">
             <div style="color:#E0E0F0;font-size:12px;white-space:nowrap;overflow:hidden;text-overflow:ellipsis;">${badge}<strong>${escapeHtml(f.name)}</strong></div>
             <div style="color:#555570;font-size:10px;">${fmtSize(f.size)} · ${fmtDate(f.mtime)}</div>
           </div>
           <button class="btn secondary" onclick="downloadFile('${encodeURIComponent(f.path)}')" style="padding:2px 8px;font-size:10px;" title="Herunterladen">⬇</button>
-          <button class="btn secondary" onclick="deleteFile('${escapeHtml(f.path)}','${escapeHtml(f.name)}')" style="padding:2px 8px;font-size:10px;color:#FF6B6B;border-color:#FF6B6B;" title="Loeschen">🗑</button>
+          <button class="btn secondary" onclick="deleteFile('${pathEsc}','${escapeHtml(f.name)}')" style="padding:2px 8px;font-size:10px;color:#FF6B6B;border-color:#FF6B6B;" title="Loeschen">🗑</button>
         </div>`;
       }).join('');
     }
 
+    async function downloadSelected() {
+      const paths = [...filesSelected];
+      if (!paths.length) return;
+      if (paths.length === 1) {
+        // Einzelne Datei: normaler Download
+        downloadFile(encodeURIComponent(paths[0]));
+        return;
+      }
+      // Mehrere: POST mit paths-Array, Browser bekommt ZIP-Stream
+      try {
+        const r = await fetch('/api/files-download-zip', {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify({ paths }),
+        });
+        if (!r.ok) {
+          const err = await r.json().catch(() => ({}));
+          throw new Error(err.error || ('HTTP ' + r.status));
+        }
+        const blob = await r.blob();
+        const url = URL.createObjectURL(blob);
+        const ts = new Date().toISOString().replace(/[:.]/g, '-').slice(0, 19);
+        const a = document.createElement('a');
+        a.href = url;
+        a.download = `aria-files-${ts}.zip`;
+        document.body.appendChild(a); a.click();
+        setTimeout(() => { URL.revokeObjectURL(url); a.remove(); }, 100);
+      } catch (e) {
+        alert('ZIP-Download fehlgeschlagen: ' + e.message);
+      }
+    }
+
+    async function deleteSelected() {
+      const paths = [...filesSelected];
+      if (!paths.length) return;
+      if (!confirm(`${paths.length} Datei(en) wirklich löschen?\n\nIn allen Chat-Bubbles werden sie als gelöscht markiert.`)) return;
+      try {
+        const r = await fetch('/api/files-delete-batch', {
+          method: 'POST',
+          headers: { 'Content-Type': 'application/json' },
+          body: JSON.stringify({ paths }),
+        });
+        const d = await r.json();
+        if (d.ok) {
+          filesSelected.clear();
+          loadFiles();
+        } else {
+          alert('Bulk-Delete fehlgeschlagen: ' + (d.error || 'unbekannt'));
+        }
+      } catch (e) {
+        alert('Bulk-Delete fehlgeschlagen: ' + e.message);
+      }
+    }
+
     function downloadFile(encPath) {
       window.location.href = '/api/files-download?path=' + encPath;
     }
@@ -2881,28 +3021,42 @@
     // ── Gehirn-Tab ────────────────────────────────────────────
 
     async function loadBrainStatus() {
-      const el = document.getElementById('brain-status');
-      if (!el) return;
+      // Es gibt ZWEI Brain-Status-Anzeigen: kompakte Card im Main-Tab
+      // (brain-dot + brain-status-short + brain-error) und die ausfuehrliche
+      // im Gehirn-Tab (brain-status). Beide muessen synchron updated werden.
+      const mainShort = document.getElementById('brain-status-short');
+      const mainDot = document.getElementById('brain-dot');
+      const mainErr = document.getElementById('brain-error');
+      const detail = document.getElementById('brain-status');
       try {
         const r = await fetch('/api/brain/health');
         if (!r.ok) throw new Error('HTTP ' + r.status);
         const d = await r.json();
-        const st = d.status === 'ok' ? '🟢 online' : '🟡 ' + (d.status || 'unknown');
-        el.innerHTML = `${st} · ${d.memory_count ?? '?'} Memories · Qdrant: ${d.qdrant || '-'}`;
+        const ok = d.status === 'ok';
+        const st = ok ? '🟢 online' : '🟡 ' + (d.status || 'unknown');
+        const detailText = `${st} · ${d.memory_count ?? '?'} Memories · Qdrant: ${d.qdrant || '-'}`;
+        if (detail) detail.innerHTML = detailText;
+        if (mainShort) mainShort.textContent = ok ? 'online' : (d.status || 'unbekannt');
+        if (mainDot) mainDot.className = `dot ${ok ? 'connected' : 'disconnected'}`;
+        if (mainErr) mainErr.textContent = ok ? '' : (d.error || '');
       } catch (e) {
-        el.innerHTML = `🔴 Brain nicht erreichbar (${e.message})`;
+        if (detail) detail.innerHTML = `🔴 Brain nicht erreichbar (${e.message})`;
+        if (mainShort) mainShort.textContent = 'nicht erreichbar';
+        if (mainDot) mainDot.className = 'dot disconnected';
+        if (mainErr) mainErr.textContent = e.message;
       }
       // Conversation-Stats (separater Endpoint)
       const conv = document.getElementById('conversation-status');
       if (!conv) return;
+      const infoBtn = `<button class="info-btn-small" onclick="showInfo('conversation')" title="Konversation — wie funktioniert das?">ℹ</button>`;
       try {
         const r2 = await fetch('/api/brain/conversation/stats');
         if (!r2.ok) throw new Error('HTTP ' + r2.status);
         const d2 = await r2.json();
         const distillIcon = d2.needs_distill ? ' ⚠ Destillat bald fällig' : '';
-        conv.innerHTML = `Konversation: <strong>${d2.turns}</strong> Turns · Window: ${d2.max_window} · Schwelle: ${d2.distill_threshold}${distillIcon}`;
+        conv.innerHTML = `Konversation: <strong>${d2.turns}</strong> Turns · Window: ${d2.max_window} · Schwelle: ${d2.distill_threshold}${distillIcon} ${infoBtn}`;
       } catch (e) {
-        conv.innerHTML = `Konversation: <span style="color:#555570;">${e.message}</span>`;
+        conv.innerHTML = `Konversation: <span style="color:#555570;">${e.message}</span> ${infoBtn}`;
       }
     }
 
@@ -2920,14 +3074,23 @@
     }
 
     async function resetConversation() {
-      if (!confirm('Konversation leeren?\n\nDer Rolling-Window-Verlauf wird komplett verworfen. Destillierte Facts bleiben in der DB.')) return;
+      if (!confirm('Konversation komplett zurücksetzen?\n\n• ARIAs Rolling-Window (Brain) wird geleert — sie "vergisst" die letzten Turns\n• Chat-Anzeige in der Diagnostic wird geleert\n\nDestillierte Facts + andere Memories bleiben in der Vector-DB.')) return;
       try {
-        const r = await fetch('/api/brain/conversation/reset', { method: 'POST' });
-        const d = await r.json();
-        if (d.ok) {
+        // Beides parallel — Brain Window + Diagnostic chat_backup
+        const [brainR, histR] = await Promise.all([
+          fetch('/api/brain/conversation/reset', { method: 'POST' }),
+          fetch('/api/chat-history-clear', { method: 'POST' }),
+        ]);
+        const brainOk = brainR.ok;
+        const histOk = histR.ok;
+        if (brainOk && histOk) {
+          // Chat-View leeren (Server broadcasted das eh, aber sicherheitshalber)
+          if (chatBox) chatBox.innerHTML = '';
+          const fsBox = document.getElementById('chat-box-fs');
+          if (fsBox) fsBox.innerHTML = '';
           loadBrainStatus();
         } else {
-          alert('Reset fehlgeschlagen');
+          alert(`Reset teilweise fehlgeschlagen — Brain: ${brainOk ? 'OK' : 'fail'}, History: ${histOk ? 'OK' : 'fail'}`);
         }
       } catch (e) {
         alert('Reset fehlgeschlagen: ' + e.message);
@@ -3161,6 +3324,221 @@
       return String(s).replace(/[&<>"']/g, c => ({'&':'&amp;','<':'&lt;','>':'&gt;','"':'&quot;',"'":'&#39;'}[c]));
     }
 
+    // ── Generisches Info-Modal — Aufruf: openInfoModal('Titel', '<p>HTML...</p>') ──
+    function openInfoModal(title, html) {
+      const t = document.getElementById('info-modal-title');
+      const b = document.getElementById('info-modal-body');
+      const m = document.getElementById('info-modal');
+      if (!t || !b || !m) return;
+      t.textContent = title;
+      b.innerHTML = html;
+      m.classList.add('open');
+    }
+    function closeInfoModal() {
+      const m = document.getElementById('info-modal');
+      if (m) m.classList.remove('open');
+    }
+
+    // ── Token / Calls Metrics ──────────────────────────────
+    // Anthropic-Subscription-Limits (Stand 2026, fuer Sonnet, "ca." weil
+    // Anthropic offiziell "fair use" sagt). Custom = User waehlt selbst.
+    const PLAN_LIMITS = {
+      pro:    { h5: 45,  label: 'Pro (~$20)' },
+      max5:   { h5: 225, label: 'Max 5x (~$90-100)' },
+      max20:  { h5: 900, label: 'Max 20x (~$200)' },
+    };
+
+    function getActivePlanLimit() {
+      const v = (document.getElementById('metrics-plan') || {}).value || 'max5';
+      if (v === 'custom') {
+        const n = parseInt((document.getElementById('metrics-custom-limit') || {}).value || '0', 10);
+        return { h5: n > 0 ? n : 225, label: 'Custom' };
+      }
+      return PLAN_LIMITS[v] || PLAN_LIMITS.max5;
+    }
+
+    function onMetricsPlanChange() {
+      const v = document.getElementById('metrics-plan').value;
+      const customRow = document.getElementById('metrics-custom-row');
+      if (customRow) customRow.style.display = v === 'custom' ? '' : 'none';
+      try {
+        localStorage.setItem('aria_metrics_plan', v);
+        if (v === 'custom') {
+          const n = document.getElementById('metrics-custom-limit').value;
+          if (n) localStorage.setItem('aria_metrics_custom_limit', n);
+        }
+      } catch {}
+      loadMetrics();
+    }
+
+    function restoreMetricsPlan() {
+      try {
+        const v = localStorage.getItem('aria_metrics_plan');
+        if (v) document.getElementById('metrics-plan').value = v;
+        const n = localStorage.getItem('aria_metrics_custom_limit');
+        if (n) document.getElementById('metrics-custom-limit').value = n;
+        onMetricsPlanChange();
+      } catch {}
+    }
+
+    function fmtTokens(n) {
+      if (n < 1000) return String(n);
+      if (n < 1_000_000) return (n / 1000).toFixed(1) + 'k';
+      return (n / 1_000_000).toFixed(2) + 'M';
+    }
+
+    async function loadMetrics() {
+      try {
+        const r = await fetch('/api/brain/metrics/calls');
+        if (!r.ok) throw new Error('HTTP ' + r.status);
+        const d = await r.json();
+        renderMetrics(d);
+      } catch (e) {
+        const bar = document.getElementById('metrics-bar');
+        if (bar) bar.innerHTML = `<span style="color:#FF6B6B;font-size:11px;">Metrics nicht erreichbar: ${escapeHtml(e.message)}</span>`;
+      }
+    }
+
+    function renderMetrics(d) {
+      const setCell = (id, agg) => {
+        const el = document.getElementById(id);
+        if (!el) return;
+        const valueEl = el.querySelector('.metric-value');
+        if (valueEl) valueEl.textContent = `${agg.calls} Calls`;
+        // Sub-Zeile mit Tokens
+        let sub = el.querySelector('.metric-sub');
+        if (!sub) {
+          sub = document.createElement('div');
+          sub.className = 'metric-sub';
+          el.appendChild(sub);
+        }
+        sub.textContent = `${fmtTokens(agg.tokens_in)} in · ${fmtTokens(agg.tokens_out)} out`;
+      };
+      setCell('metrics-h1', d.h1);
+      setCell('metrics-h5', d.h5);
+      setCell('metrics-h24', d.h24);
+      setCell('metrics-d30', d.d30);
+
+      // 5h-Fenster gegen Plan-Limit: Warn-Klassen
+      const plan = getActivePlanLimit();
+      const limit = plan.h5;
+      const pct = limit > 0 ? Math.min(100, Math.round(d.h5.calls / limit * 100)) : 0;
+      const h5el = document.getElementById('metrics-h5');
+      if (h5el) {
+        h5el.classList.remove('warn', 'crit');
+        if (pct >= 90) h5el.classList.add('crit');
+        else if (pct >= 80) h5el.classList.add('warn');
+      }
+
+      // Progress-Bar oben
+      const bar = document.getElementById('metrics-bar');
+      if (bar) {
+        const color = pct >= 90 ? '#FF6B6B' : pct >= 80 ? '#FFD60A' : '#0096FF';
+        bar.innerHTML = `
+          <div style="font-size:11px;color:#8888AA;margin-bottom:4px;">
+            5h-Quota (${escapeHtml(plan.label)}): <strong style="color:${color};">${d.h5.calls} / ${limit}</strong>
+            <span style="color:#555570;"> (${pct}%)</span>
+          </div>
+          <div style="height:6px;background:#1E1E2E;border-radius:3px;overflow:hidden;">
+            <div style="height:100%;width:${pct}%;background:${color};transition:width .3s;"></div>
+          </div>
+        `;
+      }
+    }
+
+    // Periodisch refreshen (alle 30s) wenn Gehirn-Tab offen
+    if (!window.__metricsInterval) {
+      window.__metricsInterval = setInterval(() => {
+        const t = document.getElementById('tab-brain');
+        if (t && t.classList.contains('visible')) {
+          try { loadMetrics(); } catch {}
+        }
+      }, 30000);
+    }
+
+    // Beim ersten Brain-Tab-Open: Plan restoren
+    setTimeout(restoreMetricsPlan, 100);
+
+    // Vor-definierte Info-Blocks
+    const INFO_TEXTS = {
+      'brain-status': {
+        title: 'Gehirn — Status',
+        html: `
+          <p><strong>online / offline</strong> — ob der <code>aria-brain</code> Container erreichbar ist (HTTP GET /health).</p>
+          <p><strong>N Memories</strong> — Anzahl der Punkte in der Vector-DB. Beinhaltet alle Typen: identity, rule, preference, tool, skill, fact, conversation, reminder.</p>
+          <p><strong>Qdrant: aria-qdrant:6333</strong> — Hostname + Port des Vector-DB-Containers. Der Brain spricht intern dorthin.</p>
+        `,
+      },
+      'conversation': {
+        title: 'Konversation — wie funktioniert das?',
+        html: `
+          <p><strong>Rolling Window:</strong> ARIA "sieht" pro Anfrage nur die letzten N Turns einer einzelnen, durchgehenden Konversation. Kein Sessions, kein Multi-Thread.</p>
+          <ul>
+            <li><strong>Turns</strong> — Anzahl aller Nachrichten (User + ARIA) seit dem letzten Destillat oder Reset.</li>
+            <li><strong>Window: 50</strong> — die letzten 50 Turns wandern in den Prompt. Aelteste fallen raus, sobald die Schwelle ueberschritten ist.</li>
+            <li><strong>Schwelle: 60</strong> — bei mehr als 60 Turns triggert Brain automatisch das Destillat (die 30 aeltesten werden zu fact-Memories verdichtet, Token-Budget bleibt konstant).</li>
+          </ul>
+          <p><strong>⚗ Jetzt destillieren:</strong> manueller Trigger fuer das Destillat (kostet einen Claude-Call). Verdichtet die aeltesten 30 Turns zu Fakten + entfernt sie aus dem Window.</p>
+          <p><strong>🧹 Konversation komplett zuruecksetzen:</strong> leert beides — ARIAs Rolling-Window (Brain) UND die Chat-Anzeige hier (chat_backup.jsonl). Destillierte Facts + alle anderen Memories in der Vector-DB <em>bleiben</em>.</p>
+          <p style="margin-top:8px;color:#FFD60A;font-size:12px;">⚠ Falls "Turns: 0" obwohl du oben Chat-Eintraege siehst: chat_backup.jsonl (Anzeige) und conversation.jsonl (Brain-Kontext) sind getrennte Stores. Alte chat_backup-Eintraege koennen aus OpenClaw-Zeit stammen. Reset-Button leert beides.</p>
+        `,
+      },
+      'memories': {
+        title: 'Memories — Hot vs. Cold',
+        html: `
+          <p><strong>Pinned (Hot Memory)</strong> 📌 — landet bei JEDER Anfrage im System-Prompt. Hier gehoeren rein: Identitaet, Sicherheitsregeln, Benutzer-Praeferenzen, Tool-Freigaben, Kern-Skills.</p>
+          <p><strong>Cold Memory</strong> — semantisch durchsucht. Pro Anfrage werden die 5 aehnlichsten Punkte zur User-Frage in den Prompt eingehaengt.</p>
+          <p><strong>Typen:</strong></p>
+          <ul>
+            <li><strong>identity</strong> — wer ARIA ist (Name, Persoenlichkeit)</li>
+            <li><strong>rule</strong> — Sicherheits-/Werte-Regeln</li>
+            <li><strong>preference</strong> — User-Profile</li>
+            <li><strong>tool</strong> — Tool-Freigaben + Infrastruktur</li>
+            <li><strong>skill</strong> — Faehigkeiten (verlinkt mit /data/skills/)</li>
+            <li><strong>fact</strong> — Wissens-Fakten (oft aus Destillaten)</li>
+            <li><strong>conversation</strong> — destillierte Konversations-Erkenntnisse</li>
+            <li><strong>reminder</strong> — Termine, Aufgaben</li>
+          </ul>
+          <p><strong>Such-Feld:</strong> semantische Suche via Embedder + Qdrant. Findet sinngemaess, nicht nur Stichworte.</p>
+        `,
+      },
+      'metrics': {
+        title: 'Token / Calls — Quota-Monitoring',
+        html: `
+          <p>Anthropic gibt fuer ihre Subscriptions keine exakten Token-Limits raus,
+          sondern <strong>"fair use"</strong>. Kursierende Schaetzungen (Stand 2026, fuer Sonnet):</p>
+          <ul>
+            <li><strong>Pro (~$20):</strong> ca. 45 Calls pro 5h-Fenster</li>
+            <li><strong>Max 5x (~$90-100):</strong> ca. 225 Calls pro 5h-Fenster</li>
+            <li><strong>Max 20x (~$200):</strong> ca. 900 Calls pro 5h-Fenster</li>
+          </ul>
+          <p>Wichtig: <strong>HTTP-Call ≠ User-Frage.</strong> Pro User-Frage:</p>
+          <ul>
+            <li>Einfache Antwort ohne Tool: <strong>1 Call</strong></li>
+            <li>Mit 1 Tool (Skill): <strong>2 Calls</strong> (Tool-Entscheidung + finale Antwort)</li>
+            <li>Multi-Tool-Chain: bis zu <strong>8 Calls</strong> (MAX_TOOL_ITERATIONS)</li>
+            <li>Bei >60 Turns Konversation: <strong>+1 Destillat-Call</strong> im Hintergrund</li>
+          </ul>
+          <p>Token-Werte sind Schaetzung (chars / 4, Anthropic-Heuristik) — nicht exakt,
+          aber gut genug fuer Quota-Monitoring. Persistent in <code>/data/metrics.jsonl</code>,
+          Auto-Rotate bei 50k Eintraegen.</p>
+          <p><strong>Warn-Schwellen:</strong> 5h-Counter wird gelb bei 80%, rot bei 90% des Plan-Limits.</p>
+        `,
+      },
+      'bootstrap': {
+        title: 'Bootstrap & Migration — die drei Wege',
+        html: `
+          <p><strong>1. Aus brain-import/ migrieren</strong> 🔵 — Parser fuer die <code>.md</code>-Dateien im Repo (AGENT.md, USER.md, TOOLING.md). Schreibt sie als atomare pinned Memories. Idempotent — Re-Run ersetzt nur die Migration-Punkte, eigene Memories bleiben.</p>
+          <p><strong>2. Bootstrap-Snapshot</strong> 🟡 — kleines JSON, NUR die pinned Memories. Export = aktueller Stand als Datei. Import = ALLE aktuell pinned werden ersetzt. Cold Memory bleibt unangetastet.</p>
+          <p><strong>3. Komplettes Gehirn</strong> 🔴 — tar.gz mit allem (Memories + Skills + Qdrant-DB). Backup + Restore. Import ueberschreibt ALLES.</p>
+        `,
+      },
+    };
+    function showInfo(key) {
+      const cfg = INFO_TEXTS[key];
+      if (cfg) openInfoModal(cfg.title, cfg.html);
+    }
+
     function brainExport() {
       // Browser folgt der Download-Header-Antwort automatisch
       window.location.href = '/api/brain-export';

diagnostic/server.js

@@ -1361,6 +1361,77 @@ const server = http.createServer((req, res) => {
     });
     fs.createReadStream(safe).pipe(res);
     return;
+  } else if (req.url === "/api/files-download-zip" && req.method === "POST") {
+    // Multi-Datei-Download als ZIP. Body: {paths: ["/shared/uploads/...", ...]}.
+    // Streamt zip stdout direkt in die Response.
+    let body = "";
+    req.on("data", c => { body += c; if (body.length > 65536) req.destroy(); });
+    req.on("end", () => {
+      let paths = [];
+      try { paths = (JSON.parse(body || "{}").paths || []); } catch { paths = []; }
+      // Whitelist: nur /shared/uploads/, existieren muessen sie
+      paths = paths
+        .map(p => path.resolve(String(p)))
+        .filter(p => p.startsWith("/shared/uploads/") && fs.existsSync(p));
+      if (!paths.length) {
+        res.writeHead(400, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: false, error: "Keine gueltigen Pfade" }));
+        return;
+      }
+      const ts = new Date().toISOString().replace(/[:.]/g, "-").slice(0, 19);
+      const fname = `aria-files-${ts}.zip`;
+      res.writeHead(200, {
+        "Content-Type": "application/zip",
+        "Content-Disposition": `attachment; filename="${fname}"`,
+      });
+      // zip -j: junk paths (Dateien ohne Verzeichnisstruktur ablegen)
+      const { spawn } = require("child_process");
+      const zip = spawn("zip", ["-j", "-q", "-", ...paths]);
+      zip.stdout.pipe(res);
+      let stderr = "";
+      zip.stderr.on("data", d => stderr += d.toString());
+      zip.on("close", code => {
+        if (code !== 0 && code !== 12) {
+          log("error", "server", `zip exit ${code}: ${stderr.slice(0, 200)}`);
+        }
+      });
+      req.on("close", () => { if (!zip.killed) zip.kill("SIGTERM"); });
+    });
+    return;
+  } else if (req.url === "/api/files-delete-batch" && req.method === "POST") {
+    let body = "";
+    req.on("data", c => { body += c; if (body.length > 65536) req.destroy(); });
+    req.on("end", () => {
+      try {
+        let paths = (JSON.parse(body || "{}").paths || []);
+        paths = paths
+          .map(p => path.resolve(String(p)))
+          .filter(p => p.startsWith("/shared/uploads/"));
+        const deleted = [];
+        const errors = [];
+        for (const p of paths) {
+          try {
+            if (fs.existsSync(p)) fs.unlinkSync(p);
+            deleted.push(p);
+            broadcast({ type: "file_deleted", path: p });
+            sendToRVS_raw({ type: "file_deleted", payload: { path: p }, timestamp: Date.now() });
+            try {
+              fs.appendFileSync("/shared/config/chat_backup.jsonl",
+                JSON.stringify({ type: "file_deleted", path: p, ts: Date.now(), by: "user" }) + "\n");
+            } catch {}
+          } catch (e) {
+            errors.push({ path: p, error: e.message });
+          }
+        }
+        log("info", "server", `Bulk-Delete: ${deleted.length} OK, ${errors.length} Fehler`);
+        res.writeHead(200, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: true, deleted, errors }));
+      } catch (err) {
+        res.writeHead(500, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: false, error: err.message }));
+      }
+    });
+    return;
   } else if (req.url === "/api/files-delete" && req.method === "POST") {
     let body = "";
     req.on("data", c => { body += c; if (body.length > 4096) req.destroy(); });
@@ -1448,6 +1519,30 @@ const server = http.createServer((req, res) => {
       }
     });
     return;
+  } else if (req.url === "/api/chat-history-clear" && req.method === "POST") {
+    // Leert die Diagnostic-Anzeige-History (chat_backup.jsonl) UND broadcastet
+    // chat_cleared an alle RVS-Clients (App leert lokal). Brain's
+    // Rolling-Window (conversation.jsonl) ist davon unabhaengig — Caller
+    // sollte zusaetzlich /api/brain/conversation/reset triggern.
+    log("warn", "server", "HTTP /api/chat-history-clear");
+    try {
+      const file = "/shared/config/chat_backup.jsonl";
+      if (fs.existsSync(file)) fs.unlinkSync(file);
+      // Browser-Clients: leere chat_history
+      broadcast({ type: "chat_history", messages: [] });
+      // App via RVS: chat_cleared
+      sendToRVS_raw({
+        type: "chat_cleared",
+        payload: { ts: Date.now() },
+        timestamp: Date.now(),
+      });
+      res.writeHead(200, { "Content-Type": "application/json" });
+      res.end(JSON.stringify({ ok: true }));
+    } catch (err) {
+      res.writeHead(500, { "Content-Type": "application/json" });
+      res.end(JSON.stringify({ ok: false, error: err.message }));
+    }
+    return;
   } else if (req.url === "/api/wipe-all" && req.method === "POST") {
     // Komplett-Reset — Gedaechtnis, Stimmen, Config alle weg. SSH-Keys
     // und .env bleiben, RVS-Anbindung bleibt. Brain + Qdrant werden

issue.md

@@ -212,22 +212,55 @@ Wichtige Mechanismen:
 - [x] RVS Nachrichten vom Smartphone gehen durch
 - [x] SSH Volume read-write fuer Proxy (kein -F Workaround mehr)
 
-## Offen
+## Brain — Phase B (komplett)
 
-### Brain (Phase B — der grosse Refactor laeuft)
+Der grosse Refactor weg von OpenClaw zu eigener Brain-Architektur — alle 4 Punkte
+durch. ARIA hat jetzt eigenes Gedaechtnis (Vector-DB), eigenen Loop, eigene
+Skills mit Tool-Use.
 
-- [x] aria-brain Container-Skeleton (FastAPI + Qdrant + sentence-transformers)
-- [x] Memory CRUD via Diagnostic-Gehirn-Tab (Add/Edit/Delete + Search + Filter)
-- [x] Gehirn-Export/Import als tar.gz (komplett: Memories + Skills + Qdrant)
-- [x] Voice-Bridge: aria-core-spezifische Logik raus (doctor_fix, aria_restart, aria_session_reset, compact_after)
-- [x] aria-core komplett aus docker-compose.yml raus, Watchdog raus
-- [x] Diagnostic: Wipe-All-Button (Memory + Stimmen + Settings)
-- [x] Voice Export/Import (Diagnostic + XTTS-Bridge auf Gaming-PC)
+### Infrastruktur
+
+- [x] aria-brain Container (FastAPI + Qdrant + sentence-transformers, MiniLM multilingual)
+- [x] aria-core (OpenClaw) abgerissen — Tag `v0.1.2.0` als Archiv
+- [x] docker-compose komplett umgebaut: brain + qdrant + bridge + diagnostic + proxy
+- [x] Voice-Bridge: aria-core-Logik raus (doctor_fix, aria_restart, compact_after) → durch Brain-HTTP-Call ersetzt
+- [x] Sprachmodell-Setting in runtime.json (brainModel) — Diagnostic kann Modell live wechseln, Brain-Restart noetig
+
+### Memory / Vector-DB
+
+- [x] Memory CRUD via Diagnostic-Gehirn-Tab (Add/Edit/Delete + Suche + Type/Pinned-Filter)
+- [x] **Migration aus brain-import/** (Phase B Punkt 2) — Parser fuer AGENT.md/USER.md/TOOLING.md, atomare Punkte mit migration_key (idempotent)
+- [x] **Bootstrap-Snapshot** (Phase B Punkt 2) — Export/Import nur pinned Memories als JSON
+- [x] **Komplettes Gehirn** Export/Import als tar.gz (Memories + Skills + Qdrant)
+
+### Conversation-Loop (Phase B Punkt 3)
+
+- [x] Single-Chat UI + Rolling Window (50 Turns)
+- [x] Memory-Destillat: bei >60 Turns automatisch 30 aelteste → fact-Memories via Claude-Call
+- [x] Hot Memory (pinned) + Cold Memory (Top-5 semantisch) im System-Prompt
+- [x] Manueller Destillat-Trigger + Konversation-Reset (Brain + Diagnostic chat_backup gleichzeitig)
+- [x] App-Chat-Sync: verpasste Nachrichten beim Reconnect + chat_cleared Live-Update
+
+### Skills-System (Phase B Punkt 4)
+
+- [x] Python-only Skills (local-venv pro Skill, eigene pip-Pakete)
+- [x] Tool-Use im Brain: skill_create als Meta-Tool, dynamische run_<skill> pro aktivem Skill
+- [x] Harte Schwelle dokumentiert: pip-Install → IMMER Skill (Brain hat keinen Persistenz ausser /data/skills/)
+- [x] Diagnostic Skills-Tab: Liste, README, Logs pro Run, Activate/Deactivate/Delete, Export/Import als tar.gz
+- [x] skill_created Live-Notification: gelbe Bubble in App + Diagnostic sobald ARIA selbst einen Skill anlegt
+
+### Diagnostic / App Features (drumherum)
+
+- [x] Datei-Manager (Diagnostic + App-Modal): /shared/uploads/ verwalten, Multi-Select + Select-All + Bulk-Download als ZIP + Bulk-Delete
+- [x] Wipe-All-Button (Memory + Stimmen + Settings)
+- [x] Voice Export/Import pro Stimme (Diagnostic + XTTS-Bridge auf Gamebox)
 - [x] F5/Whisper-Settings als JSON-Bundle Export/Import
-- [x] Datei-Manager (Diagnostic + App-Modal): /shared/uploads/ verwalten, Delete spiegelt sich live in den Chat-Bubbles
-- [ ] **Phase B Punkt 2:** Migration `aria-data/brain-import/` → atomare Memory-Punkte (Identity / Rules / Preferences / Tools)
-- [ ] **Phase B Punkt 3:** Brain Conversation-Loop (Single-Chat UI + Rolling Window + Memory-Destillat)
-- [ ] **Phase B Punkt 4:** Skills-System (Manifest, venv/local-bin, README pro Skill, Diagnostic-Skills-Tab, Export/Import)
+- [x] App Chat-Suche umgebaut: Highlight + Next/Prev statt Filter
+- [x] App Pinch-Zoom in Bildern rewriten (Multi-Touch-Race-Bugs)
+- [x] Info-Buttons mit Modal-Erklaerungen im Gehirn-Tab
+- [x] Token/Call-Metrics + Subscription-Quota-Tracking: pro Claude-Call ein Log-Eintrag mit Token-Schaetzung (chars/4). Gehirn-Tab zeigt 1h/5h/24h/30d-Aggregat + Progress-Bar gegen Plan-Limit (Pro=45/5h, Max 5x=225/5h, Max 20x=900/5h, Custom). Warn-Schwelle 80%, kritisch 90%.
+
+## Offen
 
 ### App Features
 - [ ] Chat-History zuverlaessiger laden (AsyncStorage Race Condition)
@@ -238,3 +271,7 @@ Wichtige Mechanismen:
 - [ ] Diagnostic: System-Info Tab (Container-Status, Disk, RAM, CPU)
 - [ ] RVS Zombie-Connections endgueltig loesen
 - [ ] Gamebox: kleine Web-Oberflaeche fuer Credentials/Server-Config oder zentral aus Diagnostic per RVS push
+- [ ] Erste Skills bauen lassen (yt-dlp, pdf-extract, image-resize, etc.) — durch normale Anfragen, ARIA legt sie selbst an
+- [ ] Tool-Use-Verifikation: Live-Test ob claude-max-api-proxy `tools` und `tool_calls` sauber durchreicht
+- [ ] Heartbeat (periodische Selbst-Checks)
+- [ ] Lokales LLM als Waechter (Triage vor Claude-Call)

rvs/server.js

@@ -25,6 +25,9 @@ const ALLOWED_TYPES = new Set([
   "xtts_export_voice", "xtts_voice_exported",
   "xtts_import_voice", "xtts_voice_imported",
   "skill_created",
+  "chat_history_request", "chat_history_response", "chat_cleared",
+  "file_delete_batch_request", "file_delete_batch_response",
+  "file_zip_request", "file_zip_response",
   "xtts_delete_voice",
   "voice_preload", "voice_ready",
   "stt_request", "stt_response",