release: bump version to 0.0.5.6

App-Pendant zum Diagnostic-Banner. Wenn die Gamebox-Bridges (F5-TTS /
Whisper) ihren Lade-Status broadcasten, zeigt die App oben unter der
Verbindungs-Statusleiste ein farbiges Banner:
  Gelb  = irgendwas laedt   (NICHT wegtippbar)
  Gruen = alles bereit      (tippbar zum Schliessen)
  Rot   = Fehler

Banner aggregiert beide Services in einer Kachel. Dismiss-State wird
zurueckgesetzt sobald irgendein Service wieder in 'loading' geht
(z.B. Modell-Wechsel via Diagnostic).

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

README.md

@@ -34,13 +34,21 @@ ARIA hat zwei Rollen:
 └───────────┬───────────────────────────┬─────────────────┘
             │ WebSocket Tunnel          │ WebSocket Tunnel
             ▼                           ▼
-┌───────────────────────────┐
-│  Gaming-PC (optional)      │
-│  RTX 3060, Docker+WSL2    │
-│  XTTS v2 (natuerliche     │
-│  Stimmen, Voice Cloning)   │
-│  xtts/docker-compose.yml  │
-└───────────────────────────┘
+┌─────────────────────────────────┐
+│  Gamebox (Windows + WSL2)        │
+│  RTX 3060, Docker Desktop       │
+│  ┌──────────────────────────┐   │
+│  │ aria-f5tts-bridge        │   │
+│  │  F5-TTS Voice Cloning    │   │
+│  │  PCM-Streaming an die App │   │
+│  ├──────────────────────────┤   │
+│  │ aria-whisper-bridge      │   │
+│  │  Faster-Whisper CUDA     │   │
+│  │  STT in fast-Echtzeit    │   │
+│  └──────────────────────────┘   │
+│  Beide teilen ./voices Volume    │
+│  xtts/docker-compose.yml        │
+└─────────────────────────────────┘
 ┌─────────────────────────────────────────────────────────┐
 │     ARIA-VM (Proxmox, Debian 13) — ARIAs Wohnung        │
 │     Basissystem + Docker. Rest richtet ARIA selbst ein.  │
@@ -57,8 +65,10 @@ ARIA hat zwei Rollen:
 │  │             Liest BOOTSTRAP.md + AGENT.md         │    │
 │  │                                                   │    │
 │  │  [bridge]   ARIA Voice Bridge Container           │    │
-│  │             Whisper STT · Piper TTS · Wake-Word   │    │
-│  │             Ramona (weiblich) + Thorsten (tief)    │    │
+│  │             Wake-Word (lokales Mikro auf VM)       │    │
+│  │             STT primaer remote (Gamebox-Whisper)   │    │
+│  │             Fallback: lokales faster-whisper (CPU) │    │
+│  │             TTS via F5-TTS auf Gamebox             │    │
 │  │             Bruecke: App <> RVS <> Bridge <> ARIA │    │
 │  │                                                   │    │
 │  │  [diagnostic] Selbstcheck-UI + Einstellungen      │    │
@@ -79,9 +89,12 @@ ARIA hat zwei Rollen:
 |-----|----|-----|
 | RVS | Rechenzentrum | `cd rvs && docker compose up -d` |
 | ARIA Core | Debian 13 VM | `docker compose up -d && ./aria-setup.sh` |
-| XTTS v2 (optional) | Gaming-PC (GPU) | `cd xtts && docker compose up -d` |
+| Gamebox-Stack (F5-TTS + Whisper) | Gamebox (GPU) | `cd xtts && docker compose up -d` |
 | Android App | Stefans Handy | APK installieren (Auto-Update via RVS) |
 
+> Der Gamebox-Stack ist optional: ohne ihn faellt STT auf lokales Whisper (CPU,
+> langsamer) zurueck; TTS bleibt aus (ARIA antwortet dann nur als Text).
+
 ---
 
 ## Installation — Schritt fuer Schritt
@@ -143,21 +156,17 @@ claude login
 **Wichtig:** Der Ordner `~/.claude/` (nicht `~/.config/claude/`!) wird als Volume
 in den Proxy gemountet. Die Credentials ueberleben Container-Restarts.
 
-### 3. Stimmen herunterladen
-
-```bash
-./get-voices.sh
-# Laedt Ramona + Thorsten (Piper TTS) nach aria-data/voices/
-# Ca. 100MB, dauert ein paar Minuten
-```
-
-### 4. Voice Bridge konfigurieren
+### 3. Voice Bridge konfigurieren
 
 ```bash
 cp aria-data/config/aria.env.example aria-data/config/aria.env
-# Bei Bedarf anpassen (Whisper-Modell, Sprache, Stimmen-Pfade)
+# Bei Bedarf anpassen (Whisper-Modell als Fallback, Sprache, Wake-Word)
 ```
 
+STT laeuft primaer auf der Gamebox (faster-whisper auf GPU), TTS ausschliesslich
+ueber F5-TTS auf der Gamebox — siehe Abschnitt "Gamebox-Stack — F5-TTS + Whisper"
+weiter unten.
+
 ### 5. RVS-Token generieren & Container starten
 
 ```bash
@@ -253,7 +262,6 @@ Danach werden per `sed` vier Patches angewendet:
 - Sicherheitsregeln (kein ClawHub, Prompt Injection abwehren)
 - Tool-Freigaben (alle Claude Code Tools: WebFetch, Bash, etc.)
 - SSH-Zugriff auf aria-wohnung (VM)
-- Stimmen-Auswahl (Ramona vs Thorsten)
 - Gedaechtnis-System
 
 ### openclaw.json (via aria-setup.sh)
@@ -290,25 +298,34 @@ braucht ARIA mehrere API-Roundtrips.
 
 ## Voice Bridge
 
-Die Bridge verbindet die Android App mit ARIA und bietet lokale Sprachverarbeitung.
+Die Bridge verbindet die Android App mit ARIA und orchestriert die GPU-Services
+auf der Gamebox.
 
 **Nachrichtenfluss:**
 ```
 Text:   App → RVS → Bridge → chat.send → aria-core
-Audio:  App → RVS → Bridge → FFmpeg → Whisper STT → chat.send → aria-core
+Audio:  App → RVS → Bridge → stt_request (RVS) → whisper-bridge (Gamebox)
+                          → stt_response → Bridge → chat.send → aria-core
+        Fallback bei Timeout: lokales faster-whisper (CPU)
 Datei:  App → RVS → Bridge → /shared/uploads/ → chat.send (mit Pfad) → aria-core
 
 aria-core → Antwort → Gateway → Diagnostic → RVS → App
-                              → Bridge → Piper TTS → RVS → App (Audio)
-                              → Bridge → Lautsprecher (lokal)
+                              → Bridge → xtts_request (RVS) → f5tts-bridge
+                              → audio_pcm Stream → RVS → App AudioTrack
 ```
 
 ### Features
 
-- **STT**: faster-whisper (lokal, offline, 16kHz mono)
-- **TTS**: Piper (Ramona + Thorsten, offline)
-- **Wake-Word**: openwakeword (lokales Mikrofon auf der VM)
-- **App-Audio**: Base64 Audio von App → FFmpeg → Whisper STT → Text an aria-core
+- **STT primaer remote**: aria-bridge sendet `stt_request` an die Gamebox-Whisper
+  (faster-whisper CUDA, fast Echtzeit). 45s Timeout, dann Fallback auf lokales
+  CPU-Whisper. Modell-Wahl in Diagnostic, Hot-Swap via config-Broadcast.
+- **TTS via F5-TTS**: aria-f5tts-bridge auf der Gamebox. Voice Cloning mit
+  Referenz-Audio + automatisch transkribiertem Referenz-Text.
+- **Text-Cleanup**: `<voice>...</voice>` Tag bevorzugt; Markdown, Code,
+  Einheiten und URLs werden TTS-gerecht aufbereitet. Dezimalzahlen werden
+  ausgeschrieben (`0,1` → "null komma eins"). Acronyme bis 5 Buchstaben werden
+  buchstabiert (`USB` → "U S B", `XTTS` → "X T T S").
+- **Wake-Word**: openwakeword (lokales Mikrofon auf der VM, optional)
 - **Modi**: Normal, Nicht stoeren, Fluestern, Hangar, Gaming
 
 ### Betriebsmodi
@@ -321,13 +338,6 @@ aria-core → Antwort → Gateway → Diagnostic → RVS → App
 | Hangar | `"ARIA, ich arbeite"` | Nur wichtige Meldungen |
 | Gaming | `"ARIA, Gaming-Modus"` | Nur auf direkte Fragen antworten |
 
-### Stimmen
-
-| Stimme | Modell | Wann |
-|--------|--------|------|
-| **Ramona** (weiblich) | `de_DE-ramona-low` | Alltag, Antworten, Gespraeche |
-| **Thorsten** (maennlich, tief) | `de_DE-thorsten-high` | Epische Momente, Alarme |
-
 ---
 
 ## Diagnostic — Selbstcheck-UI und Einstellungen
@@ -337,14 +347,16 @@ Erreichbar unter `http://<VM-IP>:3001`. Teilt das Netzwerk mit aria-core.
 ### Features
 
 - **Status-Karten**: Gateway (Handshake), RVS (TLS-Fallback), Proxy (Auth)
+- **Disk-Voll Banner**: Rotes Overlay wenn die VM-Disk knapp wird, mit copy-baren Cleanup-Befehlen (safe + aggressiv)
 - **Chat-Test**: Nachrichten direkt an ARIA senden (Gateway oder via RVS), Vollbild-Modus
 - **"ARIA denkt..." Indikator**: Zeigt live was ARIA gerade tut (Denken, Tool, Schreiben)
 - **Abbrechen-Button**: Stoppt laufende Anfragen + doctor --fix
-- **Session-Verwaltung**: Sessions auflisten, wechseln, erstellen, loeschen
+- **Session-Verwaltung**: Sessions auflisten, wechseln, erstellen, loeschen, als Markdown exportieren (⬇ Button)
 - **Chat-History**: Wird beim Laden und Session-Wechsel angezeigt (read-only aus JSONL)
 - **TTS-Diagnose Tab**: Stimmen testen, Status pruefen, Fehler anzeigen
-- **Einstellungen**: TTS-Engine (Piper/XTTS), Stimmen, Speed, Highlight-Trigger, Betriebsmodi
-- **XTTS Voice Cloning**: Audio-Samples hochladen, eigene Stimme erstellen
+- **Einstellungen**: TTS aktiv-Toggle, F5-TTS-Voice (gecloned), Betriebsmodi, Whisper-Modell (tiny…large-v3, Hot-Reload auf der Gamebox)
+- **Voice-Status**: Beim Wechsel der globalen Stimme zeigt ein Status-Text "Lade…" → "bereit (X.Ys)" — getriggert ueber `voice_preload`/`voice_ready`
+- **Voice Cloning**: Audio-Samples hochladen, Referenz-Text wird automatisch via Whisper transkribiert
 - **Claude Login**: Browser-Terminal zum Einloggen in den Proxy
 - **Core Terminal**: Shell in aria-core (openclaw CLI)
 - **Container-Logs**: Echtzeit-Logs aller Container (gefiltert nach Tab + Pipeline)
@@ -367,15 +379,22 @@ API-Endpoint fuer andere Services: `GET http://localhost:3001/api/session`
 
 - Text-Chat mit ARIA
 - **Sprachaufnahme**: Push-to-Talk (halten) oder Tap-to-Talk (tippen, Auto-Stop bei Stille)
-- **VAD (Voice Activity Detection)**: Erkennt 1.8s Stille und stoppt automatisch
-- **STT (Speech-to-Text)**: Audio wird in der Bridge per Whisper transkribiert, transkribierter Text erscheint im Chat
-- **TTS-Wiedergabe**: ARIA antwortet per Lautsprecher (Piper oder XTTS v2)
-- **Play-Button**: Jede ARIA-Nachricht kann nochmal vorgelesen werden
+- **Gespraechsmodus** (Ohr-Button): Nach jeder ARIA-Antwort startet automatisch die Aufnahme — wie ein natuerliches Gespraech hin und her
+- **VAD (Voice Activity Detection)**: Konfigurierbare Stille-Toleranz (1.0–8.0s, Default 2.8s) bevor Auto-Stop greift. Max-Aufnahme 120s.
+- **Speech Gate**: Aufnahme wird verworfen wenn keine Sprache erkannt
+- **STT (Speech-to-Text)**: 16kHz mono → Bridge → Gamebox-Whisper (CUDA) → Text im Chat. Fast in Echtzeit.
+- **"ARIA denkt..." Indicator**: Zeigt live den Status vom Core (Denken, Tool, Schreiben) + Abbrechen-Button
+- **TTS-Wiedergabe**: F5-TTS PCM-Streaming direkt in AudioTrack mit konfigurierbarem Pre-Roll-Buffer (1.0–6.0s, Default 3.5s) gegen Gaps bei Render-Pausen
+- **Audio-Pause**: Andere Apps (Spotify, YouTube etc.) pausieren komplett waehrend ARIA spricht und kommen erst wieder nach echtem Wiedergabe-Ende
+- **Lokale Voice-Wahl**: Pro Geraet eigene Stimme moeglich (in Settings). Diagnostic-Wechsel ueberschreibt alle App-Wahlen.
+- **Voice-Ready Toast**: Beim Wechsel zeigt die App "Stimme X bereit (X.Ys)" sobald der Preload durch ist
+- **Play-Button**: Jede ARIA-Nachricht kann nochmal vorgelesen werden (aus Cache wenn vorhanden, sonst neu rendern)
 - **Chat-Suche**: Lupe in der Statusleiste filtert Nachrichten live
-- **Datei- und Bild-Upload**: Bilder inline im Chat (Vollbild-Tap), Dateien mit Icon + Name + Groesse
+- **Mehrere Anhaenge**: Bilder + Dateien sammeln, Text hinzufuegen, dann zusammen senden
+- **Paste-Support**: Bilder aus Zwischenablage einfuegen (Diagnostic)
 - **Anhaenge**: Bridge speichert in Shared Volume, ARIA kann darauf zugreifen, Re-Download ueber RVS
-- **Einstellungen**: TTS Engine, Stimmen, Speed pro Stimme, Speicherort, Auto-Download, GPS
-- **Auto-Update**: Prueft beim Start auf neue Version, Download + Installation ueber RVS
+- **Einstellungen**: TTS-aktiv, F5-TTS-Voice, Pre-Roll-Buffer, Stille-Toleranz, Speicherort, Auto-Download, GPS
+- **Auto-Update**: Prueft beim Start + per Button auf neue Version, Download + Installation ueber RVS (FileProvider)
 - GPS-Position (optional)
 - QR-Code Scanner fuer Token-Pairing
 
@@ -421,6 +440,17 @@ GITEA_USER=stefan
 RVS_UPDATE_HOST=root@aria-rvs    # Optional: fuer Auto-Update
 ```
 
+### Docker-Cleanup
+
+Das Bridge-Image zieht grosse ML-Deps (faster-whisper, ctranslate2, onnxruntime,
+openwakeword) — bei jedem Rebuild waechst der Docker-Build-Cache. Wenn
+die VM voll laeuft:
+
+```bash
+./cleanup.sh           # sicher: Build-Cache + ungenutzte Images
+./cleanup.sh --full    # aggressiv: zusaetzlich ungenutzte Volumes (mit Rueckfrage)
+```
+
 ### Auto-Update
 
 Die App prueft beim Start ob eine neuere Version auf dem RVS liegt.
@@ -437,8 +467,8 @@ Der Update-Flow:
 App (Mikrofon) → AAC/MP4 Aufnahme → Base64 → RVS → Bridge
 Bridge: FFmpeg (16kHz PCM) → Whisper STT → Text → aria-core
 Bridge: STT-Ergebnis → RVS → App (Placeholder wird durch transkribierten Text ersetzt)
-aria-core → Antwort → Bridge → Piper TTS (WAV) → Base64 → RVS → App
-App: Base64 → WAV → Lautsprecher
+aria-core → Antwort → Bridge → XTTS (Gaming-PC) → PCM-Stream → RVS → App
+App: AudioTrack MODE_STREAM (nahtlos), Cache als WAV pro Message
 ```
 
 ### Datei-Pipeline (Bilder & Anhaenge)
@@ -486,10 +516,6 @@ aria-data/
 │
 ├── skills/                         ← ARIAs Faehigkeiten (selbst geschrieben!)
 │
-├── voices/                         ← Piper TTS Stimmen (offline)
-│   ├── de_DE-ramona-low.onnx
-│   └── de_DE-thorsten-high.onnx
-│
 ├── config/
 │   ├── BOOTSTRAP.md                ← System-Prompt (Identitaet, Regeln, Tools)
 │   ├── AGENT.md                    ← Persoenlichkeit & Arbeitsprinzipien
@@ -542,7 +568,7 @@ cp ARIA-v0.0.3.0.apk ~/ARIA-AGENT/rvs/updates/
 
 ---
 
-## XTTS v2 — GPU TTS Server (optional)
+## Gamebox-Stack — F5-TTS + Whisper (GPU-Services)
 
 Laeuft auf einem separaten Rechner mit NVIDIA GPU (z.B. Gaming-PC mit RTX 3060).
 Verbindet sich ueber RVS mit der ARIA-Infrastruktur — kein VPN noetig, funktioniert
@@ -551,22 +577,27 @@ ueber verschiedene Netze hinweg.
 ### Architektur
 
 ```
-Gaming-PC (Windows, RTX 3060, Docker Desktop + WSL2)
-├── aria-xtts        XTTS v2 GPU Server (Port 8020 intern)
-└── aria-xtts-bridge RVS-Relay (empfaengt Requests, sendet Audio)
-    └── Beide teilen ./voices/ Volume fuer Voice Cloning
+Gamebox (Windows, RTX 3060, Docker Desktop + WSL2)
+├── aria-f5tts-bridge       F5-TTS Voice Cloning + RVS-Relay
+│                           Hoert auf xtts_request, streamt audio_pcm
+├── aria-whisper-bridge     faster-whisper auf CUDA (float16)
+│                           Hoert auf stt_request, antwortet mit stt_response
+└── ./voices/               Geteilt zwischen beiden:
+                              {name}.wav  — Referenz-Audio (~6-10s)
+                              {name}.txt  — Referenz-Text (auto via Whisper)
 
          ↕ RVS (Rechenzentrum, WebSocket Relay)
 
 ARIA-VM
-└── aria-bridge: tts_engine="xtts" → xtts_request via RVS → wartet auf xtts_response
+└── aria-bridge: STT primaer remote (45s Timeout, dann lokaler CPU-Fallback)
+                 TTS via xtts_request → audio_pcm Stream
 ```
 
 ### Voraussetzungen
 
 - Docker Desktop mit WSL2 (Windows) oder Docker mit NVIDIA Runtime (Linux)
 - NVIDIA Container Toolkit
-- GPU mit mindestens 4GB VRAM (6GB+ empfohlen)
+- GPU mit mindestens 6GB VRAM (Whisper-large + F5-TTS gemeinsam)
 - **Gleicher RVS_TOKEN wie auf der ARIA-VM!**
 
 ### Setup
@@ -576,34 +607,45 @@ cd xtts
 cp .env.example .env
 # .env mit RVS-Verbindungsdaten fuellen (gleicher Token wie ARIA-VM!)
 docker compose up -d
-# Erster Start laedt ~2GB Model herunter (danach gecacht)
+# Erster Start laedt die Modelle (Whisper ~1-3GB je nach Groesse, F5-TTS ~1GB)
 ```
 
-**Wichtig:** Der XTTS-Server laeuft intern auf Port **8020** (nicht 8000).
-Das Model wird im Volume `xtts-models` gecacht und muss nur einmal geladen werden.
+Die Modelle werden in den Volumes `f5tts-models` und `whisper-models` gecacht
+und muessen nur einmal geladen werden.
 
 ### Features
 
-- **Natuerliche Stimmen**: Deutlich bessere Qualitaet als Piper
-- **Voice Cloning**: Eigene Stimme mit 6-10s Audio-Sample (~2s Latenz auf RTX 3060)
-- **16 Sprachen**: Deutsch, Englisch, Franzoesisch, etc.
-- **Fallback**: Wenn XTTS nicht erreichbar, nutzt die Bridge automatisch Piper
+**F5-TTS (Sprachausgabe):**
+- Hochqualitatives Voice Cloning auf Basis von 6-10s Referenz-Audio
+- Renderzeit ~0.3x Realtime auf RTX 3060 (RTF ≈ 0.3)
+- Satzweises Streaming, fade-in auf erstem Chunk gegen Warmup-Glitches
+- Sequentielle Queue gegen GPU-OOM bei parallelen Requests
 
-### TTS-Engine umschalten
+**Whisper (Spracherkennung):**
+- faster-whisper mit CUDA + float16 — fast Echtzeit-Transkription
+- Modelle: tiny / base / small / medium / large-v3 (Hot-Swap via Diagnostic)
+- Wird zusaetzlich von der f5tts-bridge intern genutzt um den Referenz-Text
+  beim Voice-Upload automatisch zu erzeugen
+
+### TTS-Config
 
 In der Diagnostic unter Einstellungen → Sprachausgabe:
 - **TTS aktiv**: Global An/Aus
-- **TTS Engine**: Piper (lokal, CPU, schnell) oder XTTS v2 (remote, GPU, natuerlich)
-- **Piper**: Standard-Stimme, Highlight-Stimme, Speed pro Stimme
-- **XTTS**: Stimmen-Auswahl, Voice Cloning
+- **F5-TTS Stimme**: Default oder gecloned (Maia etc.)
+
+> F5-TTS ist die einzige Engine — wenn die Gamebox offline ist, bleibt ARIA stumm.
+> Chat-Antworten kommen weiter an (nur kein Audio).
 
 ### Stimme klonen
 
-1. TTS Engine auf "XTTS v2" stellen
-2. "Stimme klonen" → Audio-Dateien hochladen (WAV/MP3, 1-10 Dateien, min. 6-10s gesamt)
-3. Name vergeben → "Stimme erstellen"
-4. "Laden" klicken → neue Stimme in der Auswahl
-5. Stimme auswaehlen → Config wird automatisch gespeichert
+1. App oder Diagnostic → "Stimme klonen" → Audio-Dateien hochladen
+   (WAV/MP3, 1-10 Dateien, ~6-10s gesamt)
+2. Name vergeben → "Stimme erstellen"
+3. f5tts-bridge speichert das WAV, schickt einen `stt_request` an die
+   whisper-bridge, legt die Transkription als `.txt` daneben ab und meldet
+   `xtts_voice_saved` zurueck. Der Toast in der App zeigt "Stimme bereit".
+4. Stimme auswaehlen → ein Voice-Preload (stiller Mini-Render) waermt die
+   Latents auf, "voice_ready" Toast bestaetigt es.
 
 > **Tipp:** Fuer beste Ergebnisse: saubere Aufnahme, eine Stimme, kein Hintergrund,
 > 10-30 Sekunden Gesamtlaenge. Mehrere kurze Dateien werden zusammengefuegt.
@@ -702,13 +744,35 @@ docker exec aria-core ssh aria-wohnung hostname
 - [x] SSH-Zugriff auf VM (aria-wohnung)
 - [x] Diagnostic Web-UI + Einstellungen
 - [x] Session-Verwaltung + Chat-History
-- [x] Stimmen-Einstellungen (Ramona/Thorsten, Speed, Highlight-Trigger)
+- [x] Stimmen-Einstellungen (Ramona/Thorsten, Speed, Highlight-Trigger) — durch XTTS v2 Voice Cloning ersetzt
+- [x] Piper komplett entfernt — nur noch XTTS v2 als TTS (Gaming-PC)
+- [x] Streaming TTS: PCM-Chunks direkt in AudioTrack, nahtlose Wiedergabe
 - [x] TTS satzweise fuer lange Texte
 - [x] Datei-/Bild-Upload mit Shared Volume
 - [x] Watchdog (stuck Run Erkennung + Auto-Fix + Container-Restart)
 - [x] Auto-Update System (APK via RVS)
 - [x] Chat-Suche, Play-Button, Abbrechen-Button
 - [x] XTTS v2 Integration (GPU, Voice Cloning, remote ueber RVS)
+- [x] Gespraechsmodus (Ohr-Button, automatische Aufnahme nach ARIA-Antwort)
+- [x] Mehrere Anhaenge + Text vor dem Senden + Paste-Support
+- [x] Markdown-Bereinigung fuer TTS
+- [x] Auto-Update mit FileProvider + Update-Check Button
+- [x] Inverted FlatList (zuverlaessiges Scroll-to-Bottom)
+- [x] Speech Gate (VAD verwirft Aufnahme ohne erkannte Sprache)
+- [x] Session-Persistenz ueber Container-Restarts (sessionFromFile + atomic write)
+- [x] Session-Export als Markdown-Datei (Download-Button pro Session)
+- [x] "ARIA denkt..."-Indicator + Abbrechen-Button in App (via Bridge → RVS)
+- [x] Whisper-Modell waehlbar in Diagnostic (tiny…large-v3, Hot-Reload)
+- [x] App-Aufnahme explizit 16kHz mono (optimal fuer Whisper, kein Resample)
+- [x] Streaming TTS Pre-Roll-Buffer + Wartezeit auf playbackHeadPosition (kein Cutoff mid-Satz mehr)
+- [x] Pre-Roll-Buffer einstellbar in App-Settings
+- [x] Decimal-zu-Worte fuer TTS + generisches Acronym-Buchstabieren
+- [x] voice_preload/voice_ready: visueller Status-Indikator beim Stimmen-Wechsel
+- [x] Whisper STT auf die Gamebox ausgelagert (CUDA float16, fast Echtzeit)
+- [x] **F5-TTS ersetzt XTTS** — bessere Voice-Cloning-Qualitaet, Whisper-auto-transkribierter Referenz-Text
+- [x] Audio-Pause statt Ducking (TRANSIENT statt MAY_DUCK) + release-Timing fix
+- [x] VAD-Stille-Toleranz und Max-Aufnahme einstellbar (1-8s, 120s)
+- [x] Disk-Voll Banner in Diagnostic mit copy-baren Cleanup-Befehlen
 
 ### Phase 2 — ARIA wird produktiv
 

android/android/app/build.gradle

@@ -79,8 +79,8 @@ android {
         applicationId "com.ariacockpit"
         minSdkVersion rootProject.ext.minSdkVersion
         targetSdkVersion rootProject.ext.targetSdkVersion
-        versionCode 209
-        versionName "0.0.2.9"
+        versionCode 506
+        versionName "0.0.5.6"
         // Fallback fuer Libraries mit Product Flavors
         missingDimensionStrategy 'react-native-camera', 'general'
     }

android/android/app/src/main/java/com/ariacockpit/AudioFocusModule.kt

@@ -0,0 +1,99 @@
+package com.ariacockpit
+
+import android.content.Context
+import android.media.AudioAttributes
+import android.media.AudioFocusRequest
+import android.media.AudioManager
+import android.os.Build
+import com.facebook.react.bridge.Promise
+import com.facebook.react.bridge.ReactApplicationContext
+import com.facebook.react.bridge.ReactContextBaseJavaModule
+import com.facebook.react.bridge.ReactMethod
+
+/**
+ * Steuert Audio-Focus fuer Ducking/Muten anderer Apps.
+ *
+ * - requestDuck()      → andere Apps werden leiser (ARIA spricht TTS)
+ * - requestExclusive() → andere Apps werden pausiert (Mikrofon-Aufnahme)
+ * - release()          → Focus abgeben, andere Apps duerfen wieder
+ */
+class AudioFocusModule(reactContext: ReactApplicationContext) : ReactContextBaseJavaModule(reactContext) {
+    override fun getName() = "AudioFocus"
+
+    private var currentRequest: AudioFocusRequest? = null
+
+    private fun audioManager(): AudioManager? =
+        reactApplicationContext.getSystemService(Context.AUDIO_SERVICE) as? AudioManager
+
+    private fun requestFocus(durationHint: Int, usage: Int, promise: Promise) {
+        val am = audioManager()
+        if (am == null) {
+            promise.reject("NO_AUDIO_MANAGER", "AudioManager nicht verfuegbar")
+            return
+        }
+
+        release()
+
+        val result: Int = if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
+            val attrs = AudioAttributes.Builder()
+                .setUsage(usage)
+                .setContentType(AudioAttributes.CONTENT_TYPE_SPEECH)
+                .build()
+            val req = AudioFocusRequest.Builder(durationHint)
+                .setAudioAttributes(attrs)
+                .setOnAudioFocusChangeListener { /* kein Callback noetig */ }
+                .build()
+            currentRequest = req
+            am.requestAudioFocus(req)
+        } else {
+            @Suppress("DEPRECATION")
+            am.requestAudioFocus(null, AudioManager.STREAM_MUSIC, durationHint)
+        }
+
+        promise.resolve(result == AudioManager.AUDIOFOCUS_REQUEST_GRANTED)
+    }
+
+    /** Andere Apps werden pausiert (TTS spricht).
+     *
+     *  TRANSIENT (statt TRANSIENT_MAY_DUCK): Spotify/YouTube pausieren komplett
+     *  statt nur leiser zu werden. Verhindert auch das "kommt-wieder-hoch"-
+     *  Problem mit MAY_DUCK, wo das System nach kurzer Zeit den Duck-Effekt
+     *  wieder aufgehoben hat obwohl wir den Fokus noch hielten.
+     */
+    @ReactMethod
+    fun requestDuck(promise: Promise) {
+        requestFocus(
+            AudioManager.AUDIOFOCUS_GAIN_TRANSIENT,
+            AudioAttributes.USAGE_ASSISTANT,
+            promise,
+        )
+    }
+
+    /** Andere Apps werden pausiert (Mikrofon-Aufnahme / Gespraech). */
+    @ReactMethod
+    fun requestExclusive(promise: Promise) {
+        requestFocus(
+            AudioManager.AUDIOFOCUS_GAIN_TRANSIENT_EXCLUSIVE,
+            AudioAttributes.USAGE_VOICE_COMMUNICATION,
+            promise,
+        )
+    }
+
+    /** Focus abgeben — andere Apps duerfen wieder volle Lautstaerke. */
+    @ReactMethod
+    fun release(promise: Promise) {
+        release()
+        promise.resolve(true)
+    }
+
+    private fun release() {
+        val am = audioManager() ?: return
+        if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.O) {
+            currentRequest?.let { am.abandonAudioFocusRequest(it) }
+        } else {
+            @Suppress("DEPRECATION")
+            am.abandonAudioFocus(null)
+        }
+        currentRequest = null
+    }
+}

android/android/app/src/main/java/com/ariacockpit/AudioFocusPackage.kt

@@ -0,0 +1,16 @@
+package com.ariacockpit
+
+import com.facebook.react.ReactPackage
+import com.facebook.react.bridge.NativeModule
+import com.facebook.react.bridge.ReactApplicationContext
+import com.facebook.react.uimanager.ViewManager
+
+class AudioFocusPackage : ReactPackage {
+    override fun createNativeModules(reactContext: ReactApplicationContext): List<NativeModule> {
+        return listOf(AudioFocusModule(reactContext))
+    }
+
+    override fun createViewManagers(reactContext: ReactApplicationContext): List<ViewManager<*, *>> {
+        return emptyList()
+    }
+}

android/android/app/src/main/java/com/ariacockpit/MainApplication.kt

@@ -19,6 +19,8 @@ class MainApplication : Application(), ReactApplication {
         override fun getPackages(): List<ReactPackage> =
             PackageList(this).packages.apply {
               add(ApkInstallerPackage())
+              add(AudioFocusPackage())
+              add(PcmStreamPlayerPackage())
             }
 
         override fun getJSMainModuleName(): String = "index"

android/android/app/src/main/java/com/ariacockpit/PcmStreamPlayerModule.kt

@@ -0,0 +1,252 @@
+package com.ariacockpit
+
+import android.media.AudioAttributes
+import android.media.AudioFormat
+import android.media.AudioManager
+import android.media.AudioTrack
+import android.util.Base64
+import android.util.Log
+import com.facebook.react.bridge.Promise
+import com.facebook.react.bridge.ReactApplicationContext
+import com.facebook.react.bridge.ReactContextBaseJavaModule
+import com.facebook.react.bridge.ReactMethod
+import java.util.concurrent.LinkedBlockingQueue
+
+/**
+ * Streamt PCM-s16le Audio direkt via AudioTrack MODE_STREAM mit Pre-Roll.
+ *
+ * Pre-Roll: AudioTrack wird zwar direkt gebaut und gefuttert, aber play()
+ * wird erst aufgerufen wenn PREROLL_SECONDS Audio im Buffer ist. So hat
+ * der Stream Zeit einen Vorrat aufzubauen — wenn XTTS mit RTF>1 rendert
+ * (langsamer als Echtzeit), laeuft der Buffer trotzdem nicht leer.
+ *
+ * Flow:
+ *   JS: start(sampleRate, channels) → öffnet AudioTrack (noch nicht play())
+ *   JS: writeChunk(base64)           → dekodiert, queued, Writer schreibt
+ *   Writer: spielt los sobald PREROLL erreicht ist
+ *   JS: end()                         → wartet bis Queue leer, schließt
+ *   JS: stop()                        → Hart stoppen (Cancel)
+ */
+class PcmStreamPlayerModule(reactContext: ReactApplicationContext) : ReactContextBaseJavaModule(reactContext) {
+    companion object {
+        private const val TAG = "PcmStreamPlayer"
+        // Fallback wenn JS keinen Wert uebergibt.
+        private const val DEFAULT_PREROLL_SECONDS = 3.5
+        private const val MIN_PREROLL_SECONDS = 0.5
+        private const val MAX_PREROLL_SECONDS = 10.0
+        // Stille am Stream-Anfang, damit AudioTrack sauber anfaehrt und die
+        // ersten Samples nicht abgeschnitten werden (XTTS-Warmup + play()-Latenz).
+        private const val LEADING_SILENCE_SECONDS = 0.2
+    }
+
+    override fun getName() = "PcmStreamPlayer"
+
+    private var track: AudioTrack? = null
+    private val queue = LinkedBlockingQueue<ByteArray>()
+    private var writerThread: Thread? = null
+    @Volatile private var writerShouldStop = false
+    @Volatile private var endRequested = false
+    @Volatile private var prerollBytes: Int = 0
+    @Volatile private var playbackStarted = false
+    @Volatile private var bytesBuffered: Long = 0
+    @Volatile private var streamBytesPerFrame: Int = 2 // mono s16le default
+
+    // ── Lifecycle ──
+
+    @ReactMethod
+    fun start(sampleRate: Int, channels: Int, prerollSeconds: Double, promise: Promise) {
+        try {
+            // Alte Session beenden falls vorhanden
+            stopInternal()
+
+            val prerollSec = prerollSeconds
+                .coerceIn(MIN_PREROLL_SECONDS, MAX_PREROLL_SECONDS)
+                .let { if (it.isFinite() && it > 0) it else DEFAULT_PREROLL_SECONDS }
+
+            val channelConfig = if (channels == 2) AudioFormat.CHANNEL_OUT_STEREO else AudioFormat.CHANNEL_OUT_MONO
+            val encoding = AudioFormat.ENCODING_PCM_16BIT
+            val minBuf = AudioTrack.getMinBufferSize(sampleRate, channelConfig, encoding)
+            val bytesPerSecond = sampleRate * channels * 2 // 16-bit = 2 bytes
+            // Buffer muss mindestens PREROLL + etwas Spielraum fassen.
+            val prerollTarget = (bytesPerSecond * prerollSec).toInt()
+            val bufferSize = (minBuf * 32).coerceAtLeast(prerollTarget * 2)
+            prerollBytes = prerollTarget
+            bytesBuffered = 0
+            playbackStarted = false
+            streamBytesPerFrame = channels * 2 // s16 = 2 bytes per sample
+
+            val newTrack = AudioTrack.Builder()
+                .setAudioAttributes(
+                    AudioAttributes.Builder()
+                        .setUsage(AudioAttributes.USAGE_ASSISTANT)
+                        .setContentType(AudioAttributes.CONTENT_TYPE_SPEECH)
+                        .build(),
+                )
+                .setAudioFormat(
+                    AudioFormat.Builder()
+                        .setSampleRate(sampleRate)
+                        .setChannelMask(channelConfig)
+                        .setEncoding(encoding)
+                        .build(),
+                )
+                .setBufferSizeInBytes(bufferSize)
+                .setTransferMode(AudioTrack.MODE_STREAM)
+                .build()
+
+            // AudioTrack erstellen — play() wird erst aufgerufen wenn Pre-Roll erreicht.
+            track = newTrack
+            queue.clear()
+            writerShouldStop = false
+            endRequested = false
+
+            writerThread = Thread({
+                val t = track ?: return@Thread
+                try {
+                    // Leading-Silence in den Buffer — gibt AudioTrack Zeit anzufahren.
+                    val silenceBytes = ((sampleRate * channels * 2) * LEADING_SILENCE_SECONDS).toInt() and 0x7FFFFFFE
+                    if (silenceBytes > 0) {
+                        val silence = ByteArray(silenceBytes)
+                        var silOff = 0
+                        while (silOff < silence.size && !writerShouldStop) {
+                            val w = t.write(silence, silOff, silence.size - silOff)
+                            if (w <= 0) break
+                            silOff += w
+                        }
+                        bytesBuffered += silence.size
+                    }
+                    while (!writerShouldStop) {
+                        val data = queue.poll(50, java.util.concurrent.TimeUnit.MILLISECONDS) ?: run {
+                            if (endRequested) {
+                                // Falls wir vor Pre-Roll enden (kurzer Text): trotzdem abspielen
+                                if (!playbackStarted) {
+                                    try { t.play() } catch (_: Exception) {}
+                                    playbackStarted = true
+                                }
+                                return@Thread
+                            }
+                            null
+                        } ?: continue
+
+                        // Pre-Roll Check: play() erst wenn genug gepuffert
+                        if (!playbackStarted && bytesBuffered + data.size >= prerollBytes) {
+                            try {
+                                t.play()
+                                playbackStarted = true
+                                Log.i(TAG, "Playback gestartet nach Pre-Roll ${bytesBuffered + data.size} Bytes")
+                            } catch (e: Exception) {
+                                Log.w(TAG, "play() failed: ${e.message}")
+                            }
+                        }
+
+                        var offset = 0
+                        while (offset < data.size && !writerShouldStop) {
+                            val written = t.write(data, offset, data.size - offset)
+                            if (written <= 0) break
+                            offset += written
+                        }
+                        bytesBuffered += data.size
+                    }
+                } catch (e: Exception) {
+                    Log.w(TAG, "Writer-Thread Fehler: ${e.message}")
+                } finally {
+                    // Warten bis alle geschriebenen Samples tatsaechlich abgespielt sind,
+                    // sonst cuttet t.release() die letzten Sekunden ab.
+                    try {
+                        val totalFrames = (bytesBuffered / streamBytesPerFrame).toInt()
+                        var lastPos = -1
+                        var stalledCount = 0
+                        while (!writerShouldStop) {
+                            val pos = t.playbackHeadPosition
+                            if (pos >= totalFrames) break
+                            // Safety: wenn Position 2s nicht mehr vorwaerts → AudioTrack hing
+                            if (pos == lastPos) {
+                                stalledCount++
+                                if (stalledCount > 40) {
+                                    Log.w(TAG, "playback stalled at $pos/$totalFrames — give up")
+                                    break
+                                }
+                            } else {
+                                stalledCount = 0
+                                lastPos = pos
+                            }
+                            Thread.sleep(50)
+                        }
+                        Log.i(TAG, "Playback fertig: frames=$totalFrames pos=${t.playbackHeadPosition}")
+                    } catch (_: Exception) {}
+                    try { t.stop() } catch (_: Exception) {}
+                    try { t.release() } catch (_: Exception) {}
+                }
+            }, "PcmStreamWriter").apply { start() }
+
+            Log.i(TAG, "Stream gestartet: ${sampleRate}Hz ch=$channels buf=${bufferSize}B preroll=${prerollBytes}B (${prerollSec}s)")
+            promise.resolve(true)
+        } catch (e: Exception) {
+            Log.e(TAG, "start fehlgeschlagen", e)
+            promise.reject("START_FAILED", e.message, e)
+        }
+    }
+
+    @ReactMethod
+    fun writeChunk(base64Pcm: String, promise: Promise) {
+        try {
+            if (base64Pcm.isEmpty()) {
+                promise.resolve(true)
+                return
+            }
+            val bytes = Base64.decode(base64Pcm, Base64.DEFAULT)
+            queue.put(bytes)
+            promise.resolve(true)
+        } catch (e: Exception) {
+            promise.reject("WRITE_FAILED", e.message, e)
+        }
+    }
+
+    /** Signalisiert: keine weiteren Chunks. Writer spielt aus, dann stoppt.
+     *  Das Promise resolved erst wenn der Writer-Thread fertig ist —
+     *  wichtig damit der Aufrufer den AudioFocus erst NACH dem letzten
+     *  abgespielten Sample wieder freigibt (sonst dreht Spotify hoch
+     *  waehrend das Pre-Roll noch ausspielt).
+     */
+    @ReactMethod
+    fun end(promise: Promise) {
+        endRequested = true
+        val t = writerThread
+        if (t == null || !t.isAlive) {
+            promise.resolve(true)
+            return
+        }
+        // Im Hintergrund auf den Writer warten — kein Threading-Block fuer JS-Bridge
+        Thread({
+            try {
+                t.join(15_000) // hartes Cap, falls Writer haengt
+            } catch (_: InterruptedException) {}
+            promise.resolve(true)
+        }, "PcmStreamEndWaiter").start()
+    }
+
+    /** Harter Stop (Cancel) — Queue verwerfen. */
+    @ReactMethod
+    fun stop(promise: Promise) {
+        stopInternal()
+        promise.resolve(true)
+    }
+
+    private fun stopInternal() {
+        writerShouldStop = true
+        endRequested = true
+        queue.clear()
+        writerThread?.interrupt()
+        writerThread = null
+        val t = track
+        if (t != null) {
+            try { t.stop() } catch (_: Exception) {}
+            try { t.release() } catch (_: Exception) {}
+        }
+        track = null
+    }
+
+    override fun onCatalystInstanceDestroy() {
+        stopInternal()
+        super.onCatalystInstanceDestroy()
+    }
+}

android/android/app/src/main/java/com/ariacockpit/PcmStreamPlayerPackage.kt

@@ -0,0 +1,16 @@
+package com.ariacockpit
+
+import com.facebook.react.ReactPackage
+import com.facebook.react.bridge.NativeModule
+import com.facebook.react.bridge.ReactApplicationContext
+import com.facebook.react.uimanager.ViewManager
+
+class PcmStreamPlayerPackage : ReactPackage {
+    override fun createNativeModules(reactContext: ReactApplicationContext): List<NativeModule> {
+        return listOf(PcmStreamPlayerModule(reactContext))
+    }
+
+    override fun createViewManagers(reactContext: ReactApplicationContext): List<ViewManager<*, *>> {
+        return emptyList()
+    }
+}

android/android/build.gradle

@@ -1,7 +1,9 @@
 buildscript {
     ext {
         buildToolsVersion = "34.0.0"
-        minSdkVersion = 23
+        // 24 = Android 7.0 (Nougat). Verlangt von Porcupine (Picovoice).
+        // Realistisch eh das Minimum: alles unter 7.0 hat <1% Marktanteil.
+        minSdkVersion = 24
         compileSdkVersion = 34
         targetSdkVersion = 34
         ndkVersion = "25.1.8937393"

android/package.json

@@ -1,6 +1,6 @@
 {
   "name": "aria-cockpit",
-  "version": "0.0.2.9",
+  "version": "0.0.5.6",
   "private": true,
   "scripts": {
     "android": "react-native run-android",
@@ -24,7 +24,9 @@
     "react-native-camera-kit": "^13.0.0",
     "@react-native-async-storage/async-storage": "^1.21.0",
     "react-native-fs": "^2.20.0",
-    "react-native-audio-recorder-player": "^3.6.7"
+    "react-native-audio-recorder-player": "^3.6.7",
+    "@picovoice/porcupine-react-native": "3.0.5",
+    "@picovoice/react-native-voice-processor": "1.2.3"
   },
   "devDependencies": {
     "typescript": "^5.3.3",

android/src/components/VoiceCloneModal.tsx

@@ -0,0 +1,362 @@
+/**
+ * VoiceCloneModal — Eigene Stimme aufnehmen und an XTTS uploaden.
+ *
+ * Flow:
+ *   - Modal zeigt Vorlesetext (>30s Lesedauer) + Aufnahme-Button
+ *   - Bei Aufnahme: max 30s, Fortschrittsbalken, Countdown
+ *   - Bei Stop: Name abfragen, dann als voice_upload ueber RVS schicken
+ *   - XTTS-Bridge speichert /voices/<name>.wav, antwortet mit xtts_voice_saved
+ */
+
+import React, { useCallback, useEffect, useRef, useState } from 'react';
+import {
+  Modal,
+  View,
+  Text,
+  TouchableOpacity,
+  StyleSheet,
+  Alert,
+  ScrollView,
+  ActivityIndicator,
+  TextInput,
+} from 'react-native';
+import audioService from '../services/audio';
+import rvs from '../services/rvs';
+
+interface Props {
+  visible: boolean;
+  onClose: () => void;
+}
+
+const SAMPLE_TEXT = `Das ist meine eigene Stimme fuer ARIA. Ich lese jetzt einen laengeren Absatz laut vor, damit das Voice-Cloning eine gute Grundlage hat. Guten Tag, ich heisse Stefan und baue gerade mit grosser Begeisterung an meinem persoenlichen KI-Assistenten. Wir automatisieren Infrastruktur, managen Sessions und spielen mit Sprachsynthese. Die letzten Jahre habe ich viel gelernt, vor allem dass Geduld genauso wichtig ist wie Neugier. Hoert sich das jetzt an wie ich selbst? Wenn alles klappt, spricht ARIA bald mit dieser Stimme.`;
+
+const MAX_DURATION_MS = 30000;
+const TARGET_DURATION_MS = 15000;
+
+const VoiceCloneModal: React.FC<Props> = ({ visible, onClose }) => {
+  const [recording, setRecording] = useState(false);
+  const [durationMs, setDurationMs] = useState(0);
+  const [voiceName, setVoiceName] = useState('');
+  const [processing, setProcessing] = useState(false);
+  const [recordingPath, setRecordingPath] = useState('');
+  const timerRef = useRef<ReturnType<typeof setInterval> | null>(null);
+  const startTimeRef = useRef<number>(0);
+
+  // Zustand zuruecksetzen wenn Modal schliesst/oeffnet
+  useEffect(() => {
+    if (!visible) {
+      setRecording(false);
+      setDurationMs(0);
+      setVoiceName('');
+      setProcessing(false);
+      setRecordingPath('');
+      if (timerRef.current) clearInterval(timerRef.current);
+    }
+  }, [visible]);
+
+  // Cleanup bei Unmount
+  useEffect(() => {
+    return () => {
+      if (timerRef.current) clearInterval(timerRef.current);
+      if (recording) audioService.stopRecording().catch(() => {});
+    };
+  }, [recording]);
+
+  const startRecording = useCallback(async () => {
+    // Frische Aufnahme
+    setDurationMs(0);
+    setRecordingPath('');
+    const ok = await audioService.startRecording(false);
+    if (!ok) {
+      Alert.alert('Fehler', 'Aufnahme konnte nicht gestartet werden (Mikrofon-Berechtigung?)');
+      return;
+    }
+    setRecording(true);
+    startTimeRef.current = Date.now();
+    timerRef.current = setInterval(async () => {
+      const elapsed = Date.now() - startTimeRef.current;
+      setDurationMs(elapsed);
+      if (elapsed >= MAX_DURATION_MS) {
+        await stopRecording();
+      }
+    }, 100);
+  }, []);
+
+  const stopRecording = useCallback(async () => {
+    if (timerRef.current) {
+      clearInterval(timerRef.current);
+      timerRef.current = null;
+    }
+    if (!recording) return;
+    const result = await audioService.stopRecording();
+    setRecording(false);
+    if (!result) {
+      Alert.alert('Keine Sprache erkannt', 'Versuch es bitte nochmal — sprich bis der Timer mindestens 10 Sekunden anzeigt.');
+      setDurationMs(0);
+      return;
+    }
+    // Temp-Datei wurde schon geloescht (stopRecording cleaned up).
+    // Wir brauchen aber base64 aus result direkt fuers Upload.
+    // result.base64 ist bereits da.
+    setRecordingPath(result.base64);
+  }, [recording]);
+
+  const uploadVoice = useCallback(async () => {
+    const name = voiceName.trim();
+    if (!name) {
+      Alert.alert('Name fehlt', 'Bitte gib der Stimme einen Namen (nur Buchstaben, Zahlen, _ und -).');
+      return;
+    }
+    if (!/^[a-zA-Z0-9_-]+$/.test(name)) {
+      Alert.alert('Ungueltiger Name', 'Nur Buchstaben, Zahlen, _ und - erlaubt.');
+      return;
+    }
+    if (!recordingPath) {
+      Alert.alert('Keine Aufnahme', 'Bitte zuerst aufnehmen.');
+      return;
+    }
+    setProcessing(true);
+    try {
+      // voice_upload erwartet samples als Array mit base64 (aus Diagnostic-Format kopiert)
+      rvs.send('voice_upload' as any, {
+        name,
+        samples: [{ base64: recordingPath }],
+      });
+      Alert.alert('Hochgeladen', `Stimme "${name}" wird vom XTTS-Server verarbeitet. Nach ein paar Sekunden in der Liste verfuegbar.`);
+      onClose();
+    } catch (err: any) {
+      Alert.alert('Fehler', err.message);
+    } finally {
+      setProcessing(false);
+    }
+  }, [voiceName, recordingPath, onClose]);
+
+  const progress = Math.min(durationMs / MAX_DURATION_MS, 1);
+  const sec = Math.floor(durationMs / 1000);
+  const enoughRecorded = durationMs >= TARGET_DURATION_MS;
+
+  return (
+    <Modal visible={visible} animationType="slide" onRequestClose={onClose}>
+      <View style={styles.container}>
+        <View style={styles.header}>
+          <Text style={styles.title}>Eigene Stimme aufnehmen</Text>
+          <TouchableOpacity onPress={onClose}>
+            <Text style={styles.closeX}>{'\u2715'}</Text>
+          </TouchableOpacity>
+        </View>
+
+        <ScrollView style={styles.content} contentContainerStyle={{padding: 16}}>
+          <Text style={styles.hint}>
+            Lies den Text laut und deutlich vor. Maximal 30 Sekunden. Je mehr du sprichst
+            (ziel: bis zum Ende des Textes, ca. 20-30s), desto besser wird die geklonte
+            Stimme.
+          </Text>
+
+          <View style={styles.sampleTextBox}>
+            <Text style={styles.sampleText}>{SAMPLE_TEXT}</Text>
+          </View>
+
+          {/* Timer + Fortschritt */}
+          <View style={{marginTop: 20, alignItems: 'center'}}>
+            <Text style={[styles.timer, recording && styles.timerActive]}>
+              {sec.toString().padStart(2, '0')} / 30 s
+            </Text>
+            <View style={styles.progressBar}>
+              <View style={[styles.progressFill, {width: `${progress * 100}%`, backgroundColor: recording ? '#FF3B30' : '#0096FF'}]} />
+            </View>
+          </View>
+
+          {/* Aufnahme-Button */}
+          {!recordingPath && (
+            <TouchableOpacity
+              style={[styles.recordBtn, recording && styles.recordBtnActive]}
+              onPress={recording ? stopRecording : startRecording}
+            >
+              <Text style={styles.recordIcon}>{recording ? '\u25A0' : '\u25CF'}</Text>
+              <Text style={styles.recordLabel}>{recording ? 'Stop' : 'Aufnahme starten'}</Text>
+            </TouchableOpacity>
+          )}
+
+          {/* Nach Aufnahme: Name + Upload */}
+          {recordingPath && (
+            <View style={{marginTop: 20}}>
+              <Text style={styles.hint}>
+                Aufnahme ({sec}s) fertig. Vergib einen Namen und lade hoch.
+              </Text>
+              <TextInput
+                style={styles.nameInput}
+                value={voiceName}
+                onChangeText={setVoiceName}
+                placeholder="z.B. stefan"
+                placeholderTextColor="#555570"
+                autoCapitalize="none"
+                autoCorrect={false}
+              />
+              <View style={{flexDirection: 'row', gap: 8, marginTop: 12}}>
+                <TouchableOpacity
+                  style={[styles.secondaryBtn, {flex: 1}]}
+                  onPress={() => { setRecordingPath(''); setDurationMs(0); }}
+                >
+                  <Text style={styles.secondaryBtnText}>Nochmal aufnehmen</Text>
+                </TouchableOpacity>
+                <TouchableOpacity
+                  style={[styles.primaryBtn, {flex: 1}]}
+                  onPress={uploadVoice}
+                  disabled={processing}
+                >
+                  {processing
+                    ? <ActivityIndicator color="#fff" />
+                    : <Text style={styles.primaryBtnText}>Hochladen</Text>
+                  }
+                </TouchableOpacity>
+              </View>
+            </View>
+          )}
+
+          {recording && !enoughRecorded && (
+            <Text style={[styles.hint, {marginTop: 12, color: '#FFD60A', textAlign: 'center'}]}>
+              Bitte weiter lesen — mindestens 15 Sekunden
+            </Text>
+          )}
+
+          {recording && enoughRecorded && (
+            <Text style={[styles.hint, {marginTop: 12, color: '#34C759', textAlign: 'center'}]}>
+              Genug Audio fuer eine gute Clonung. Du kannst stoppen.
+            </Text>
+          )}
+        </ScrollView>
+      </View>
+    </Modal>
+  );
+};
+
+const styles = StyleSheet.create({
+  container: {
+    flex: 1,
+    backgroundColor: '#0D0D1A',
+  },
+  header: {
+    flexDirection: 'row',
+    alignItems: 'center',
+    justifyContent: 'space-between',
+    paddingHorizontal: 16,
+    paddingTop: 48,
+    paddingBottom: 16,
+    borderBottomWidth: 1,
+    borderBottomColor: '#1E1E2E',
+  },
+  title: {
+    color: '#FFFFFF',
+    fontSize: 18,
+    fontWeight: '700',
+  },
+  closeX: {
+    color: '#8888AA',
+    fontSize: 24,
+    paddingHorizontal: 8,
+  },
+  content: {
+    flex: 1,
+  },
+  hint: {
+    color: '#8888AA',
+    fontSize: 13,
+    lineHeight: 20,
+  },
+  sampleTextBox: {
+    marginTop: 12,
+    padding: 14,
+    backgroundColor: '#12122A',
+    borderRadius: 10,
+    borderWidth: 1,
+    borderColor: '#1E1E2E',
+  },
+  sampleText: {
+    color: '#E0E0F0',
+    fontSize: 15,
+    lineHeight: 24,
+  },
+  timer: {
+    color: '#666680',
+    fontSize: 42,
+    fontWeight: '700',
+    fontVariant: ['tabular-nums'],
+  },
+  timerActive: {
+    color: '#FF3B30',
+  },
+  progressBar: {
+    marginTop: 8,
+    width: '100%',
+    height: 8,
+    backgroundColor: '#1E1E2E',
+    borderRadius: 4,
+    overflow: 'hidden',
+  },
+  progressFill: {
+    height: '100%',
+  },
+  recordBtn: {
+    marginTop: 24,
+    flexDirection: 'row',
+    alignItems: 'center',
+    justifyContent: 'center',
+    gap: 12,
+    backgroundColor: '#1E1E2E',
+    borderRadius: 12,
+    padding: 18,
+    borderWidth: 2,
+    borderColor: '#34C759',
+  },
+  recordBtnActive: {
+    borderColor: '#FF3B30',
+    backgroundColor: 'rgba(255,59,48,0.15)',
+  },
+  recordIcon: {
+    color: '#FF3B30',
+    fontSize: 24,
+    fontWeight: '700',
+  },
+  recordLabel: {
+    color: '#FFFFFF',
+    fontSize: 17,
+    fontWeight: '600',
+  },
+  nameInput: {
+    marginTop: 10,
+    backgroundColor: '#1E1E2E',
+    borderRadius: 8,
+    paddingHorizontal: 14,
+    paddingVertical: 12,
+    color: '#FFFFFF',
+    fontSize: 15,
+    borderWidth: 1,
+    borderColor: '#2A2A3E',
+  },
+  primaryBtn: {
+    backgroundColor: '#0096FF',
+    borderRadius: 10,
+    padding: 14,
+    alignItems: 'center',
+  },
+  primaryBtnText: {
+    color: '#FFFFFF',
+    fontSize: 15,
+    fontWeight: '700',
+  },
+  secondaryBtn: {
+    backgroundColor: '#1E1E2E',
+    borderRadius: 10,
+    padding: 14,
+    alignItems: 'center',
+    borderWidth: 1,
+    borderColor: '#2A2A3E',
+  },
+  secondaryBtnText: {
+    color: '#8888AA',
+    fontSize: 14,
+    fontWeight: '600',
+  },
+});
+
+export default VoiceCloneModal;

android/src/screens/ChatScreen.tsx

@@ -5,7 +5,7 @@
  * Datei- und Kamera-Upload.
  */
 
-import React, { useState, useEffect, useRef, useCallback } from 'react';
+import React, { useState, useEffect, useRef, useCallback, useMemo } from 'react';
 import {
   View,
   Text,
@@ -16,7 +16,9 @@ import {
   Platform,
   StyleSheet,
   Image,
+  ScrollView,
   Modal,
+  ToastAndroid,
 } from 'react-native';
 import AsyncStorage from '@react-native-async-storage/async-storage';
 import RNFS from 'react-native-fs';
@@ -27,7 +29,7 @@ import updateService from '../services/updater';
 import VoiceButton from '../components/VoiceButton';
 import FileUpload, { FileData } from '../components/FileUpload';
 import CameraUpload, { PhotoData } from '../components/CameraUpload';
-import { RecordingResult } from '../services/audio';
+import { RecordingResult, loadConvWindowMs } from '../services/audio';
 import Geolocation from '@react-native-community/geolocation';
 
 // --- Typen ---
@@ -47,12 +49,22 @@ interface ChatMessage {
   text: string;
   timestamp: number;
   attachments?: Attachment[];
+  /** Bridge-Message-ID zur Zuordnung von TTS-Audio */
+  messageId?: string;
+  /** Lokaler Pfad zur gecachten TTS-Audio-Datei (file://...) */
+  audioPath?: string;
 }
 
 // --- Konstanten ---
 
 const CHAT_STORAGE_KEY = 'aria_chat_messages';
 const MAX_STORED_MESSAGES = 500;
+const MAX_MEMORY_MESSAGES = 500;
+
+// Hilfe: Messages-Array auf Max kappen (aelteste raus) — verhindert OOM
+// im Gespraechsmodus bei sehr vielen Nachrichten.
+const capMessages = (msgs: ChatMessage[]): ChatMessage[] =>
+  msgs.length > MAX_MEMORY_MESSAGES ? msgs.slice(-MAX_MEMORY_MESSAGES) : msgs;
 const DEFAULT_ATTACHMENT_DIR = `${RNFS.DocumentDirectoryPath}/chat_attachments`;
 const STORAGE_PATH_KEY = 'aria_attachment_storage_path';
 
@@ -94,6 +106,16 @@ const ChatScreen: React.FC = () => {
   const [fullscreenImage, setFullscreenImage] = useState<string | null>(null);
   const [searchQuery, setSearchQuery] = useState('');
   const [searchVisible, setSearchVisible] = useState(false);
+  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
+  const [serviceStatus, setServiceStatus] = useState<Record<string, {state: string, model?: string, loadSeconds?: number, error?: string}>>({});
+  const [serviceBannerDismissed, setServiceBannerDismissed] = useState(false);
+  // Gerätelokale TTS-Config: globaler Toggle (aus Settings) + temporäres Muten (Mund-Button)
+  const [ttsDeviceEnabled, setTtsDeviceEnabled] = useState(true);
+  const [ttsMuted, setTtsMuted] = useState(false);
+  // Gerätelokale XTTS-Voice-Wahl (bevorzugt gegenueber dem globalen Default)
+  const localXttsVoiceRef = useRef<string>('');
 
   const flatListRef = useRef<FlatList>(null);
   const messageIdCounter = useRef(0);
@@ -104,6 +126,37 @@ const ChatScreen: React.FC = () => {
     return `msg_${Date.now()}_${messageIdCounter.current}`;
   };
 
+  // TTS-Settings beim Mount + bei Screen-Fokus neu laden (damit Settings-Toggle sofort greift)
+  useEffect(() => {
+    const loadTtsSettings = async () => {
+      const enabled = await AsyncStorage.getItem('aria_tts_enabled');
+      setTtsDeviceEnabled(enabled !== 'false'); // default true
+      const muted = await AsyncStorage.getItem('aria_tts_muted');
+      setTtsMuted(muted === 'true'); // default false
+      const voice = await AsyncStorage.getItem('aria_xtts_voice');
+      localXttsVoiceRef.current = voice || '';
+    };
+    loadTtsSettings();
+    // Poll alle 2s um Settings-Aenderung mitzubekommen (einfache Loesung ohne Context)
+    const interval = setInterval(loadTtsSettings, 2000);
+    return () => clearInterval(interval);
+  }, []);
+
+  // Wake Word: einmalig laden + Porcupine vorbereiten (wenn Access Key gesetzt)
+  useEffect(() => {
+    wakeWordService.loadFromStorage().catch(() => {});
+  }, []);
+
+  const toggleMute = useCallback(() => {
+    setTtsMuted(prev => {
+      const next = !prev;
+      AsyncStorage.setItem('aria_tts_muted', String(next));
+      // Bei Muten sofort laufende Wiedergabe stoppen
+      if (next) audioService.stopPlayback();
+      return next;
+    });
+  }, []);
+
   // Chat-Verlauf aus AsyncStorage laden
   const isInitialLoad = useRef(true);
   useEffect(() => {
@@ -215,12 +268,12 @@ const ChatScreen: React.FC = () => {
         if (sender === 'diagnostic') {
           const diagText = (message.payload.text as string) || '';
           if (diagText) {
-            setMessages(prev => [...prev, {
+            setMessages(prev => capMessages([...prev, {
               id: nextId(),
               sender: 'user',
               text: diagText,
               timestamp: message.timestamp,
-            }]);
+            }]));
           }
           return;
         }
@@ -239,14 +292,85 @@ const ChatScreen: React.FC = () => {
             text,
             timestamp: ts,
             attachments: message.payload.attachments as Attachment[] | undefined,
+            messageId: (message.payload.messageId as string) || undefined,
           };
-          return [...prev, ariaMsg];
+          return capMessages([...prev, ariaMsg]);
         });
       }
 
-      // TTS-Audio abspielen wenn vorhanden
+      // TTS-Audio abspielen wenn vorhanden — respektiert geraetelokalen Mute/Disable
+      const canPlay = ttsDeviceEnabled && !ttsMuted;
       if (message.type === 'audio' && message.payload.base64) {
-        audioService.playAudio(message.payload.base64 as string);
+        const b64 = message.payload.base64 as string;
+        const refId = (message.payload.messageId as string) || '';
+        if (canPlay) audioService.playAudio(b64);
+        // Cache IMMER schreiben — Play-Button soll auch bei Mute spaeter funktionieren
+        if (refId) {
+          audioService.cacheAudio(b64, refId).then(audioPath => {
+            if (!audioPath) return;
+            setMessages(prev => prev.map(m =>
+              m.messageId === refId ? { ...m, audioPath } : m
+            ));
+          }).catch(() => {});
+        }
+      }
+
+      // XTTS PCM-Stream: Cache IMMER bauen, Playback nur wenn nicht gemutet
+      if (message.type === ('audio_pcm' as any)) {
+        const p = { ...(message.payload as any), silent: !canPlay };
+        const refId = (p.messageId as string) || '';
+        audioService.handlePcmChunk(p).then((audioPath: any) => {
+          if (p.final && audioPath && refId) {
+            setMessages(prev => prev.map(m =>
+              m.messageId === refId ? { ...m, audioPath } : m
+            ));
+          }
+        }).catch(() => {});
+      }
+
+      // Thinking-Indicator Status von der Bridge
+      if (message.type === 'agent_activity') {
+        const activity = (message.payload.activity as string) || 'idle';
+        const tool = (message.payload.tool as string) || '';
+        setAgentActivity({ activity, tool });
+      }
+
+      // Voice-Config aus Diagnostic — setzt die lokale App-Stimme auf den
+      // gerade in Diagnostic gewaehlten Wert zurueck. User-Wahl in der App
+      // wird dadurch ueberschrieben.
+      if (message.type === ('config' as any)) {
+        const newVoice = ((message.payload as any).xttsVoice as string) ?? '';
+        localXttsVoiceRef.current = newVoice;
+        AsyncStorage.setItem('aria_xtts_voice', newVoice);
+      }
+
+      // XTTS-Bridge meldet Stimme fertig geladen (kurzer Status-Toast)
+      if (message.type === ('voice_ready' as any)) {
+        const v = ((message.payload as any).voice as string) ?? '';
+        const err = (message.payload as any).error as string | undefined;
+        if (err) {
+          ToastAndroid.show(`Stimme "${v}" Fehler: ${err}`, ToastAndroid.LONG);
+        } else {
+          ToastAndroid.show(`Stimme "${v || 'Standard'}" bereit`, ToastAndroid.SHORT);
+        }
+      }
+
+      // Gamebox-Bridges (f5tts/whisper) melden Lade-Status — Banner oben
+      if (message.type === ('service_status' as any)) {
+        const p = message.payload as any;
+        const svc = (p?.service as string) || '';
+        if (!svc) return;
+        setServiceStatus(prev => ({
+          ...prev,
+          [svc]: {
+            state: (p?.state as string) || 'unknown',
+            model: p?.model as string | undefined,
+            loadSeconds: p?.loadSeconds as number | undefined,
+            error: p?.error as string | undefined,
+          },
+        }));
+        // Bei neuer Loading-Phase Banner wieder aktivieren
+        if (p?.state === 'loading') setServiceBannerDismissed(false);
       }
     });
 
@@ -273,16 +397,25 @@ const ChatScreen: React.FC = () => {
     return () => { unsubUpdate(); clearTimeout(timer); };
   }, []);
 
-  // Wake Word: "ARIA" Erkennung → Auto-Aufnahme starten
+  // Gespraechsmodus: Nach TTS-Wiedergabe automatisch Aufnahme starten
+  useEffect(() => {
+    const unsubPlayback = audioService.onPlaybackFinished(() => {
+      if (wakeWordService.isActive()) {
+        wakeWordService.resume();
+      }
+    });
+    return () => unsubPlayback();
+  }, []);
+
+  // Wake Word / Gespraechsmodus: Auto-Aufnahme starten
   useEffect(() => {
     const unsubWake = wakeWordService.onWakeWord(async () => {
-      console.log('[Chat] Wake Word erkannt — starte Auto-Aufnahme');
-      // TTS stoppen damit ARIA sich nicht selbst hoert
-      audioService.stopPlayback();
-      // Aufnahme mit Auto-Stop (VAD) starten
-      const started = await audioService.startRecording(true);
+      console.log('[Chat] Gespraechsmodus — starte Auto-Aufnahme');
+      // Conversation-Window: User hat X Sekunden um anzufangen, sonst Konversation aus
+      const windowMs = await loadConvWindowMs();
+      const started = await audioService.startRecording(true, windowMs);
       if (!started) {
-        // Mikrofon nicht verfuegbar, Wake Word wieder aktivieren
+        // Mikrofon nicht verfuegbar, naechsten Versuch
         wakeWordService.resume();
       }
     });
@@ -291,7 +424,7 @@ const ChatScreen: React.FC = () => {
     const unsubSilence = audioService.onSilenceDetected(async () => {
       const result = await audioService.stopRecording();
       if (result && result.durationMs > 500) {
-        // Sprachnachricht senden (gleiche Logik wie handleVoiceRecording)
+        // User hat im Fenster gesprochen → Sprachnachricht senden
         const location = await getCurrentLocation();
         const userMsg: ChatMessage = {
           id: nextId(),
@@ -300,16 +433,22 @@ const ChatScreen: React.FC = () => {
           timestamp: Date.now(),
           attachments: [{ type: 'audio', name: 'Sprachaufnahme' }],
         };
-        setMessages(prev => [...prev, userMsg]);
+        setMessages(prev => capMessages([...prev, userMsg]));
         rvs.send('audio', {
           base64: result.base64,
           durationMs: result.durationMs,
           mimeType: result.mimeType,
+          voice: localXttsVoiceRef.current,
           ...(location && { location }),
         });
+        // resume() wird durch onPlaybackFinished nach ARIAs Antwort getriggert.
+      } else {
+        // Kein Speech im Window → Konversation beenden (Ohr geht aus oder
+        // bleibt armed wenn Wake Word verfuegbar)
+        wakeWordService.endConversation();
+        // UI-State synchron halten
+        if (!wakeWordService.isActive()) setWakeWordActive(false);
       }
-      // Wake Word wieder aktivieren
-      if (wakeWordActive) wakeWordService.resume();
     });
 
     return () => {
@@ -359,22 +498,8 @@ const ChatScreen: React.FC = () => {
     return () => { if (saveTimer.current) clearTimeout(saveTimer.current); };
   }, [messages]);
 
-  // Auto-Scroll wird ueber onContentSizeChange der FlatList gesteuert
-  const shouldAutoScroll = useRef(true);
-  const handleContentSizeChange = useCallback(() => {
-    if (shouldAutoScroll.current) {
-      flatListRef.current?.scrollToEnd({ animated: false });
-    }
-  }, []);
-  const handleScrollBeginDrag = useCallback(() => {
-    shouldAutoScroll.current = false;
-  }, []);
-  const handleScrollEndDrag = useCallback((e: any) => {
-    // Auto-Scroll wieder aktivieren wenn User ganz unten ist
-    const { contentOffset, contentSize, layoutMeasurement } = e.nativeEvent;
-    const isAtBottom = contentOffset.y + layoutMeasurement.height >= contentSize.height - 50;
-    shouldAutoScroll.current = isAtBottom;
-  }, []);
+  // Inverted FlatList: neueste Nachrichten unten, kein manuelles Scrollen noetig
+  const invertedMessages = useMemo(() => [...messages].reverse(), [messages]);
 
   // GPS-Position holen (optional)
   const getCurrentLocation = useCallback((): Promise<{ lat: number; lon: number } | null> => {
@@ -400,6 +525,13 @@ const ChatScreen: React.FC = () => {
 
   const sendTextMessage = useCallback(async () => {
     const text = inputText.trim();
+
+    // Wenn pending Anhaenge vorhanden → Anhaenge + Text zusammen senden
+    if (pendingAttachments.length > 0) {
+      sendPendingAttachments(text);
+      return;
+    }
+
     if (!text) return;
 
     setInputText('');
@@ -412,14 +544,21 @@ const ChatScreen: React.FC = () => {
       text,
       timestamp: Date.now(),
     };
-    setMessages(prev => [...prev, userMsg]);
+    setMessages(prev => capMessages([...prev, userMsg]));
 
-    // An RVS senden
+    // An RVS senden — mit geraetelokaler Voice (Bridge nutzt sie fuer die Antwort)
     rvs.send('chat', {
       text,
+      voice: localXttsVoiceRef.current,
       ...(location && { location }),
     });
-  }, [inputText, getCurrentLocation]);
+  }, [inputText, getCurrentLocation, pendingAttachments, sendPendingAttachments]);
+
+  // Anfrage abbrechen — sofort lokalen Indicator weg, Bridge triggert doctor --fix
+  const cancelRequest = useCallback(() => {
+    setAgentActivity({ activity: 'idle', tool: '' });
+    rvs.send('cancel_request' as any, {});
+  }, []);
 
   // Sprachaufnahme abgeschlossen
   const handleVoiceRecording = useCallback(async (result: RecordingResult) => {
@@ -431,7 +570,7 @@ const ChatScreen: React.FC = () => {
       text: '🎙 Spracheingabe wird verarbeitet...',
       timestamp: Date.now(),
     };
-    setMessages(prev => [...prev, userMsg]);
+    setMessages(prev => capMessages([...prev, userMsg]));
 
     rvs.send('audio', {
       base64: result.base64,
@@ -441,88 +580,92 @@ const ChatScreen: React.FC = () => {
     });
   }, [getCurrentLocation]);
 
-  // Datei senden
+  // Datei auswaehlen → zur Pending-Liste hinzufuegen
   const handleFileSelected = useCallback(async (file: FileData) => {
     setShowFileUpload(false);
-    const location = await getCurrentLocation();
+    setPendingAttachments(prev => [...prev, { file, isPhoto: false }]);
+  }, []);
 
-    const isImage = file.type.startsWith('image/');
-    const msgId = nextId();
-    let imageUri = isImage && file.base64 ? `data:${file.type};base64,${file.base64}` : file.uri;
-
-    const userMsg: ChatMessage = {
-      id: msgId,
-      sender: 'user',
-      text: 'Anhang empfangen',
-      timestamp: Date.now(),
-      attachments: [{
-        type: isImage ? 'image' : 'file',
-        name: file.name,
-        size: file.size,
-        uri: imageUri,
-        mimeType: file.type,
-      }],
-    };
-    setMessages(prev => [...prev, userMsg]);
-
-    // Anhang auf Disk speichern fuer Persistenz
-    if (file.base64) {
-      persistAttachment(file.base64, msgId, file.name).then(filePath => {
-        setMessages(prev => prev.map(m =>
-          m.id === msgId ? { ...m, attachments: m.attachments?.map(a => ({ ...a, uri: filePath })) } : m
-        ));
-      }).catch(() => {});
-    }
-
-    rvs.send('file', {
-      name: file.name,
-      type: file.type,
-      size: file.size,
-      base64: file.base64,
-      ...(location && { location }),
-    });
-  }, [getCurrentLocation]);
-
-  // Foto senden
+  // Foto auswaehlen → zur Pending-Liste hinzufuegen
   const handlePhotoSelected = useCallback(async (photo: PhotoData) => {
     setShowCameraUpload(false);
+    setPendingAttachments(prev => [...prev, { file: photo, isPhoto: true }]);
+  }, []);
+
+  // Alle Pending Anhaenge + Text senden
+  const sendPendingAttachments = useCallback(async (messageText: string) => {
+    if (pendingAttachments.length === 0) return;
     const location = await getCurrentLocation();
-
     const msgId = nextId();
-    const dataUri = photo.base64 ? `data:${photo.type};base64,${photo.base64}` : undefined;
 
+    // Alle Attachments fuer die Chat-Nachricht sammeln
+    const attachments: Attachment[] = [];
+    for (const { file, isPhoto } of pendingAttachments) {
+      const isImage = isPhoto || (file.type && file.type.startsWith('image/'));
+      const name = isPhoto ? file.fileName : file.name;
+      const base64 = file.base64 || '';
+      const mimeType = file.type || '';
+      const imageUri = isImage && base64 ? `data:${mimeType};base64,${base64}` : file.uri;
+
+      attachments.push({
+        type: isImage ? 'image' : 'file',
+        name,
+        size: file.size,
+        uri: imageUri,
+        mimeType,
+      });
+    }
+
+    // Chat-Nachricht mit allen Anhaengen
     const userMsg: ChatMessage = {
       id: msgId,
       sender: 'user',
-      text: 'Anhang empfangen',
+      text: messageText || `${pendingAttachments.length} Anhang/Anhaenge`,
       timestamp: Date.now(),
-      attachments: [{
-        type: 'image',
-        name: photo.fileName,
-        uri: dataUri,
-        mimeType: photo.type,
-      }],
+      attachments,
     };
-    setMessages(prev => [...prev, userMsg]);
+    setMessages(prev => capMessages([...prev, userMsg]));
 
-    // Foto auf Disk speichern fuer Persistenz
-    if (photo.base64) {
-      persistAttachment(photo.base64, msgId, photo.fileName).then(filePath => {
-        setMessages(prev => prev.map(m =>
-          m.id === msgId ? { ...m, attachments: m.attachments?.map(a => ({ ...a, uri: filePath })) } : m
-        ));
-      }).catch(() => {});
+    // Alle Dateien an RVS senden + auf Disk speichern
+    for (const { file, isPhoto } of pendingAttachments) {
+      const name = isPhoto ? file.fileName : file.name;
+      const base64 = file.base64 || '';
+      const mimeType = file.type || '';
+
+      // Auf Disk speichern
+      if (base64) {
+        persistAttachment(base64, msgId + '_' + name, name).then(filePath => {
+          setMessages(prev => prev.map(m =>
+            m.id === msgId ? { ...m, attachments: m.attachments?.map(a =>
+              a.name === name && !a.uri?.startsWith('file://') ? { ...a, uri: filePath } : a
+            )} : m
+          ));
+        }).catch(() => {});
+      }
+
+      // An RVS senden
+      rvs.send('file', {
+        name,
+        type: mimeType,
+        size: file.size,
+        base64,
+        ...(isPhoto && file.width && { width: file.width, height: file.height }),
+        ...(location && { location }),
+      });
     }
 
-    rvs.send('file', {
-      name: photo.fileName,
-      type: photo.type,
-      base64: photo.base64,
-      width: photo.width,
-      height: photo.height,
-      ...(location && { location }),
-    });
-  }, [getCurrentLocation]);
+    // Text als separate Nachricht (damit ARIA weiss was zu tun ist)
+    if (messageText) {
+      rvs.send('chat', {
+        text: messageText,
+        voice: localXttsVoiceRef.current,
+        ...(location && { location }),
+      });
+    }
+
+    setPendingAttachments([]);
+    setInputText('');
+  }, [pendingAttachments, getCurrentLocation]);
 
   // --- Rendering ---
 
@@ -594,13 +737,22 @@ const ChatScreen: React.FC = () => {
             {item.text}
           </Text>
         )}
-        {/* Play-Button fuer ARIA-Nachrichten */}
+        {/* Play-Button fuer ARIA-Nachrichten — Cache bevorzugt, sonst Bridge-TTS mit aktueller Engine */}
         {!isUser && item.text.length > 0 && (
           <TouchableOpacity
             style={styles.playButton}
             onPress={() => {
-              // TTS-Request an Bridge senden
-              rvs.send('tts_request' as any, { text: item.text, voice: '' });
+              if (item.audioPath) {
+                audioService.playFromPath(item.audioPath);
+              } else {
+                // messageId mitschicken damit die Bridge das generierte Audio
+                // wieder mit der Nachricht verknuepft (fuer den naechsten Replay aus Cache)
+                rvs.send('tts_request' as any, {
+                  text: item.text,
+                  voice: localXttsVoiceRef.current,
+                  messageId: item.messageId || '',
+                });
+              }
             }}
           >
             <Text style={styles.playButtonText}>{'\uD83D\uDD0A'}</Text>
@@ -633,6 +785,49 @@ const ChatScreen: React.FC = () => {
         </TouchableOpacity>
       </View>
 
+      {/* Service-Status Banner (Gamebox: F5-TTS / Whisper Lade-Status) */}
+      {(() => {
+        const entries = Object.entries(serviceStatus);
+        if (entries.length === 0 || serviceBannerDismissed) return null;
+        const anyLoading = entries.some(([, v]) => v.state === 'loading');
+        const anyError = entries.some(([, v]) => v.state === 'error');
+        const allReady = !anyLoading && !anyError && entries.every(([, v]) => v.state === 'ready');
+        const bg = anyError ? '#3A1F1F' : anyLoading ? '#3A331F' : '#1F3A2A';
+        const border = anyError ? '#FF3B30' : anyLoading ? '#FFD60A' : '#34C759';
+        const labels: Record<string, string> = { f5tts: 'F5-TTS', whisper: 'Whisper STT' };
+        return (
+          <TouchableOpacity
+            activeOpacity={allReady ? 0.6 : 1.0}
+            onPress={() => { if (allReady) setServiceBannerDismissed(true); }}
+            style={[styles.serviceBanner, { backgroundColor: bg, borderColor: border }]}
+          >
+            {entries.map(([svc, info]) => {
+              let icon = '\u23F3', text = '';
+              if (info.state === 'loading') {
+                text = `${labels[svc] || svc}: laedt${info.model ? ' ' + info.model : ''}...`;
+              } else if (info.state === 'ready') {
+                icon = '\u2705';
+                const sec = info.loadSeconds ? ` (${info.loadSeconds.toFixed(1)}s)` : '';
+                text = `${labels[svc] || svc}: bereit${info.model ? ' ' + info.model : ''}${sec}`;
+              } else if (info.state === 'error') {
+                icon = '\u274C';
+                text = `${labels[svc] || svc}: Fehler ${info.error || ''}`;
+              } else {
+                text = `${labels[svc] || svc}: ${info.state}`;
+              }
+              return (
+                <Text key={svc} style={styles.serviceBannerLine}>
+                  {icon}  {text}
+                </Text>
+              );
+            })}
+            <Text style={styles.serviceBannerHint}>
+              {allReady ? 'Tippen zum Schliessen' : 'Bitte warten...'}
+            </Text>
+          </TouchableOpacity>
+        );
+      })()}
+
       {/* Suchleiste */}
       {searchVisible && (
         <View style={styles.searchBar}>
@@ -653,14 +848,12 @@ const ChatScreen: React.FC = () => {
       {/* Nachrichtenliste */}
       <FlatList
         ref={flatListRef}
-        data={searchQuery ? messages.filter(m => m.text.toLowerCase().includes(searchQuery.toLowerCase())) : messages}
+        inverted
+        data={searchQuery ? messages.filter(m => m.text.toLowerCase().includes(searchQuery.toLowerCase())).reverse() : invertedMessages}
         keyExtractor={item => item.id}
         renderItem={renderMessage}
         contentContainerStyle={styles.messageList}
         showsVerticalScrollIndicator={false}
-        onContentSizeChange={handleContentSizeChange}
-        onScrollBeginDrag={handleScrollBeginDrag}
-        onScrollEndDrag={handleScrollEndDrag}
         ListEmptyComponent={
           <View style={styles.emptyContainer}>
             <Text style={styles.emptyIcon}>{'\uD83E\uDD16'}</Text>
@@ -670,6 +863,56 @@ const ChatScreen: React.FC = () => {
         }
       />
 
+      {/* Thinking-Indicator */}
+      {agentActivity.activity !== 'idle' && (
+        <View style={styles.thinkingBar}>
+          <Text style={styles.thinkingText}>
+            {agentActivity.activity === 'tool' && agentActivity.tool
+              ? `\uD83D\uDD27 ${agentActivity.tool}`
+              : agentActivity.activity === 'assistant'
+              ? '\u270D\uFE0F ARIA schreibt...'
+              : '\uD83D\uDCAD ARIA denkt...'}
+          </Text>
+          <TouchableOpacity style={styles.thinkingCancel} onPress={cancelRequest}>
+            <Text style={styles.thinkingCancelText}>Abbrechen</Text>
+          </TouchableOpacity>
+        </View>
+      )}
+
+      {/* Pending Anhaenge Vorschau */}
+      {pendingAttachments.length > 0 && (
+        <View style={styles.pendingBar}>
+          <ScrollView horizontal showsHorizontalScrollIndicator={false} style={{flex: 1}}>
+            {pendingAttachments.map((att, idx) => (
+              <View key={idx} style={styles.pendingItem}>
+                {att.file.type?.startsWith('image/') || att.isPhoto ? (
+                  <Image
+                    source={{ uri: att.file.base64
+                      ? `data:${att.file.type};base64,${att.file.base64}`
+                      : att.file.uri }}
+                    style={styles.pendingThumb}
+                  />
+                ) : (
+                  <View style={[styles.pendingThumb, {justifyContent: 'center', alignItems: 'center'}]}>
+                    <Text style={{fontSize: 20}}>{'\uD83D\uDCC4'}</Text>
+                  </View>
+                )}
+                <TouchableOpacity
+                  style={styles.pendingRemove}
+                  onPress={() => setPendingAttachments(prev => prev.filter((_, i) => i !== idx))}
+                >
+                  <Text style={{color: '#fff', fontSize: 10, fontWeight: 'bold'}}>X</Text>
+                </TouchableOpacity>
+              </View>
+            ))}
+          </ScrollView>
+          <Text style={{color: '#8888AA', fontSize: 11, marginLeft: 8}}>{pendingAttachments.length}</Text>
+          <TouchableOpacity onPress={() => setPendingAttachments([])}>
+            <Text style={{color: '#FF3B30', fontSize: 14, paddingHorizontal: 8}}>Alle X</Text>
+          </TouchableOpacity>
+        </View>
+      )}
+
       {/* Eingabebereich */}
       <View style={styles.inputContainer}>
         {/* Datei-Buttons */}
@@ -692,7 +935,7 @@ const ChatScreen: React.FC = () => {
           style={styles.textInput}
           value={inputText}
           onChangeText={setInputText}
-          placeholder="Nachricht an ARIA..."
+          placeholder={pendingAttachments.length > 0 ? "Text zu den Anhaengen (optional)..." : "Nachricht an ARIA..."}
           placeholderTextColor="#555570"
           multiline
           maxLength={4000}
@@ -701,7 +944,7 @@ const ChatScreen: React.FC = () => {
         />
 
         {/* Senden oder Sprache */}
-        {inputText.trim() ? (
+        {inputText.trim() || pendingAttachments.length > 0 ? (
           <TouchableOpacity style={styles.sendButton} onPress={sendTextMessage}>
             <Text style={styles.sendIcon}>{'\u2B06\uFE0F'}</Text>
           </TouchableOpacity>
@@ -712,6 +955,17 @@ const ChatScreen: React.FC = () => {
               disabled={connectionState !== 'connected'}
               wakeWordActive={wakeWordActive}
             />
+            {/* Mund-Button: TTS auf diesem Geraet muten/aufheben.
+                Nur sichtbar wenn TTS in den Settings grundsaetzlich aktiv ist. */}
+            {ttsDeviceEnabled && (
+              <TouchableOpacity
+                style={[styles.wakeWordBtn, ttsMuted && styles.mouthBtnMuted]}
+                onPress={toggleMute}
+                accessibilityLabel={ttsMuted ? 'Sprachausgabe einschalten' : 'Sprachausgabe stumm schalten'}
+              >
+                <Text style={styles.wakeWordIcon}>{ttsMuted ? '🤐' : '👄'}</Text>
+              </TouchableOpacity>
+            )}
             <TouchableOpacity
               style={[styles.wakeWordBtn, wakeWordActive && styles.wakeWordBtnActive]}
               onPress={toggleWakeWord}
@@ -788,6 +1042,25 @@ const styles = StyleSheet.create({
     color: '#8888AA',
     fontSize: 12,
   },
+  serviceBanner: {
+    paddingVertical: 8,
+    paddingHorizontal: 12,
+    borderTopWidth: 0,
+    borderBottomWidth: 1,
+    borderLeftWidth: 0,
+    borderRightWidth: 0,
+  },
+  serviceBannerLine: {
+    color: '#FFFFFF',
+    fontSize: 12,
+    lineHeight: 18,
+  },
+  serviceBannerHint: {
+    color: '#AAAACC',
+    fontSize: 10,
+    marginTop: 2,
+    fontStyle: 'italic',
+  },
   messageList: {
     padding: 12,
     paddingBottom: 8,
@@ -929,9 +1202,69 @@ const styles = StyleSheet.create({
   wakeWordBtnActive: {
     backgroundColor: 'rgba(52, 199, 89, 0.3)',
   },
+  mouthBtnMuted: {
+    backgroundColor: 'rgba(255, 59, 48, 0.25)',
+  },
   wakeWordIcon: {
     fontSize: 16,
   },
+  thinkingBar: {
+    flexDirection: 'row',
+    alignItems: 'center',
+    justifyContent: 'space-between',
+    backgroundColor: '#1E1E2E',
+    paddingHorizontal: 12,
+    paddingVertical: 6,
+    borderTopWidth: 1,
+    borderTopColor: '#2A2A3E',
+  },
+  thinkingText: {
+    color: '#FFD60A',
+    fontSize: 12,
+    flex: 1,
+  },
+  thinkingCancel: {
+    paddingHorizontal: 10,
+    paddingVertical: 4,
+    borderWidth: 1,
+    borderColor: '#FF3B30',
+    borderRadius: 4,
+  },
+  thinkingCancelText: {
+    color: '#FF3B30',
+    fontSize: 11,
+    fontWeight: 'bold',
+  },
+  pendingBar: {
+    flexDirection: 'row',
+    alignItems: 'center',
+    backgroundColor: '#1E1E2E',
+    paddingHorizontal: 12,
+    paddingVertical: 8,
+    borderTopWidth: 1,
+    borderTopColor: '#2A2A3E',
+  },
+  pendingItem: {
+    position: 'relative',
+    marginRight: 8,
+  },
+  pendingThumb: {
+    width: 50,
+    height: 50,
+    borderRadius: 6,
+    backgroundColor: '#0D0D1A',
+  },
+  pendingRemove: {
+    position: 'absolute',
+    top: -4,
+    right: -4,
+    width: 18,
+    height: 18,
+    borderRadius: 9,
+    backgroundColor: '#FF3B30',
+    justifyContent: 'center',
+    alignItems: 'center',
+  },
   searchBar: {
     flexDirection: 'row',
     alignItems: 'center',

android/src/screens/SettingsScreen.tsx

@@ -15,13 +15,36 @@ import {
   StyleSheet,
   Alert,
   Platform,
+  ToastAndroid,
+  ActivityIndicator,
 } from 'react-native';
 import AsyncStorage from '@react-native-async-storage/async-storage';
 import RNFS from 'react-native-fs';
 import DocumentPicker from 'react-native-document-picker';
 import rvs, { ConnectionState, RVSMessage, ConnectionConfig, ConnectionLogEntry } from '../services/rvs';
+import {
+  TTS_PREROLL_DEFAULT_SEC,
+  TTS_PREROLL_MIN_SEC,
+  TTS_PREROLL_MAX_SEC,
+  TTS_PREROLL_STORAGE_KEY,
+  VAD_SILENCE_DEFAULT_SEC,
+  VAD_SILENCE_MIN_SEC,
+  VAD_SILENCE_MAX_SEC,
+  VAD_SILENCE_STORAGE_KEY,
+  CONV_WINDOW_DEFAULT_SEC,
+  CONV_WINDOW_MIN_SEC,
+  CONV_WINDOW_MAX_SEC,
+  CONV_WINDOW_STORAGE_KEY,
+} from '../services/audio';
+import wakeWordService, {
+  BUILTIN_KEYWORDS,
+  DEFAULT_KEYWORD,
+  WAKE_ACCESS_KEY_STORAGE,
+  WAKE_KEYWORD_STORAGE,
+} from '../services/wakeword';
 import ModeSelector from '../components/ModeSelector';
 import QRScanner from '../components/QRScanner';
+import VoiceCloneModal from '../components/VoiceCloneModal';
 
 const STORAGE_PATH_KEY = 'aria_attachment_storage_path';
 const DEFAULT_STORAGE_PATH = `${RNFS.DocumentDirectoryPath}/chat_attachments`;
@@ -72,11 +95,18 @@ const SettingsScreen: React.FC = () => {
   const [autoDownload, setAutoDownload] = useState(true);
   const [storageSize, setStorageSize] = useState('...');
   const [ttsEnabled, setTtsEnabled] = useState(true);
-  const [defaultVoice, setDefaultVoice] = useState('ramona');
-  const [highlightVoice, setHighlightVoice] = useState('thorsten');
-  const [speedRamona, setSpeedRamona] = useState(1.0);
-  const [speedThorsten, setSpeedThorsten] = useState(1.0);
+  const [ttsPrerollSec, setTtsPrerollSec] = useState<number>(TTS_PREROLL_DEFAULT_SEC);
+  const [vadSilenceSec, setVadSilenceSec] = useState<number>(VAD_SILENCE_DEFAULT_SEC);
+  const [convWindowSec, setConvWindowSec] = useState<number>(CONV_WINDOW_DEFAULT_SEC);
+  const [wakeAccessKey, setWakeAccessKey] = useState<string>('');
+  const [wakeAccessKeyVisible, setWakeAccessKeyVisible] = useState(false);
+  const [wakeKeyword, setWakeKeyword] = useState<string>(DEFAULT_KEYWORD);
+  const [wakeStatus, setWakeStatus] = useState<string>('');
   const [editingPath, setEditingPath] = useState(false);
+  const [xttsVoice, setXttsVoice] = useState('');
+  const [loadingVoice, setLoadingVoice] = useState<string | null>(null);
+  const [availableVoices, setAvailableVoices] = useState<Array<{name: string, size: number}>>([]);
+  const [voiceCloneVisible, setVoiceCloneVisible] = useState(false);
   const [tempPath, setTempPath] = useState('');
 
   let logIdCounter = 0;
@@ -99,18 +129,41 @@ const SettingsScreen: React.FC = () => {
     AsyncStorage.getItem('aria_tts_enabled').then(saved => {
       if (saved !== null) setTtsEnabled(saved === 'true');
     });
-    AsyncStorage.getItem('aria_default_voice').then(saved => {
-      if (saved) setDefaultVoice(saved);
+    AsyncStorage.getItem(TTS_PREROLL_STORAGE_KEY).then(saved => {
+      if (saved != null) {
+        const n = parseFloat(saved);
+        if (isFinite(n) && n >= TTS_PREROLL_MIN_SEC && n <= TTS_PREROLL_MAX_SEC) {
+          setTtsPrerollSec(n);
+        }
+      }
     });
-    AsyncStorage.getItem('aria_highlight_voice').then(saved => {
-      if (saved) setHighlightVoice(saved);
+    AsyncStorage.getItem(VAD_SILENCE_STORAGE_KEY).then(saved => {
+      if (saved != null) {
+        const n = parseFloat(saved);
+        if (isFinite(n) && n >= VAD_SILENCE_MIN_SEC && n <= VAD_SILENCE_MAX_SEC) {
+          setVadSilenceSec(n);
+        }
+      }
     });
-    AsyncStorage.getItem('aria_speed_ramona').then(saved => {
-      if (saved) setSpeedRamona(parseFloat(saved));
+    AsyncStorage.getItem(CONV_WINDOW_STORAGE_KEY).then(saved => {
+      if (saved != null) {
+        const n = parseFloat(saved);
+        if (isFinite(n) && n >= CONV_WINDOW_MIN_SEC && n <= CONV_WINDOW_MAX_SEC) {
+          setConvWindowSec(n);
+        }
+      }
     });
-    AsyncStorage.getItem('aria_speed_thorsten').then(saved => {
-      if (saved) setSpeedThorsten(parseFloat(saved));
+    AsyncStorage.getItem(WAKE_ACCESS_KEY_STORAGE).then(saved => {
+      if (saved) setWakeAccessKey(saved);
     });
+    AsyncStorage.getItem(WAKE_KEYWORD_STORAGE).then(saved => {
+      if (saved) setWakeKeyword(saved);
+    });
+    AsyncStorage.getItem('aria_xtts_voice').then(saved => {
+      if (saved) setXttsVoice(saved);
+    });
+    // Voice-Liste vom XTTS-Server holen (via RVS)
+    rvs.send('xtts_list_voices' as any, {});
   }, []);
 
   // Speichergroesse berechnen
@@ -241,6 +294,47 @@ const SettingsScreen: React.FC = () => {
         const mode = message.payload.mode as string;
         if (mode) setCurrentMode(mode);
       }
+
+      // XTTS-Voice-Liste
+      if (message.type === ('xtts_voices_list' as any)) {
+        const voices = ((message.payload as any).voices || []) as Array<{name: string, size: number}>;
+        setAvailableVoices(voices);
+      }
+
+      // 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;
+        if (name) {
+          setXttsVoice(name);
+          AsyncStorage.setItem('aria_xtts_voice', name);
+        }
+        rvs.send('xtts_list_voices' as any, {});
+      }
+
+      // Diagnostic-Voice-Wechsel → lokale App-Stimme auf den neuen Default zuruecksetzen.
+      // Zusaetzlich Preload triggern, damit der User weiss wann's geladen ist.
+      if (message.type === ('config' as any)) {
+        const newVoice = ((message.payload as any).xttsVoice as string) ?? '';
+        setXttsVoice(newVoice);
+        AsyncStorage.setItem('aria_xtts_voice', newVoice);
+        if (newVoice) {
+          setLoadingVoice(newVoice);
+        }
+      }
+
+      // XTTS-Bridge meldet: Stimme fertig geladen
+      if (message.type === ('voice_ready' as any)) {
+        const v = ((message.payload as any).voice as string) ?? '';
+        const err = (message.payload as any).error as string | undefined;
+        const ms = (message.payload as any).loadMs as number | undefined;
+        setLoadingVoice(null);
+        if (err) {
+          ToastAndroid.show(`Stimme "${v}" konnte nicht geladen werden: ${err}`, ToastAndroid.LONG);
+        } else {
+          const suffix = ms ? ` (${(ms / 1000).toFixed(1)}s)` : '';
+          ToastAndroid.show(`Stimme "${v || 'Standard'}" bereit${suffix}`, ToastAndroid.SHORT);
+        }
+      }
     });
 
     return () => {
@@ -304,6 +398,43 @@ const SettingsScreen: React.FC = () => {
     // In Produktion: Wert in AsyncStorage persistieren
   }, []);
 
+  // --- XTTS Voice ---
+
+  const selectVoice = useCallback((voiceName: string) => {
+    setXttsVoice(voiceName);
+    AsyncStorage.setItem('aria_xtts_voice', voiceName);
+    // Preload nur fuer Custom-Voices — "Standard" braucht keinen Ladevorgang
+    if (voiceName) {
+      setLoadingVoice(voiceName);
+      rvs.send('voice_preload' as any, { voice: voiceName, source: 'app' });
+    } else {
+      setLoadingVoice(null);
+    }
+  }, []);
+
+  const deleteVoice = useCallback((name: string) => {
+    Alert.alert(
+      'Stimme loeschen',
+      `Stimme "${name}" vom Server endgueltig loeschen?\nAlle Apps verlieren sie.`,
+      [
+        { text: 'Abbrechen', style: 'cancel' },
+        {
+          text: 'Loeschen',
+          style: 'destructive',
+          onPress: () => {
+            rvs.send('xtts_delete_voice' as any, { name });
+            if (xttsVoice === name) {
+              setXttsVoice('');
+              AsyncStorage.setItem('aria_xtts_voice', '');
+            }
+            // Liste nach kurzer Wartezeit neu laden (XTTS-Bridge schickt eh neue Liste)
+            setTimeout(() => rvs.send('xtts_list_voices' as any, {}), 500);
+          },
+        },
+      ],
+    );
+  }, [xttsVoice]);
+
   // --- Modus aendern ---
 
   const handleModeChange = useCallback((modeId: string) => {
@@ -337,6 +468,10 @@ const SettingsScreen: React.FC = () => {
       onScan={handleQRScan}
       onClose={() => setScannerVisible(false)}
     />
+    <VoiceCloneModal
+      visible={voiceCloneVisible}
+      onClose={() => setVoiceCloneVisible(false)}
+    />
     <ScrollView style={styles.container} contentContainerStyle={styles.content}>
 
       {/* === Verbindung === */}
@@ -462,131 +597,263 @@ const SettingsScreen: React.FC = () => {
         </View>
       </View>
 
-      {/* === Sprachausgabe === */}
+      {/* === Spracheingabe (geraetelokal) === */}
+      <Text style={styles.sectionTitle}>Spracheingabe</Text>
+      <View style={styles.card}>
+        <Text style={styles.toggleLabel}>Stille-Toleranz</Text>
+        <Text style={styles.toggleHint}>
+          Wie lange du eine Sprechpause machen darfst, bevor die Aufnahme
+          automatisch beendet und gesendet wird. Hoeher = mehr Zeit zum
+          Nachdenken; niedriger = schnelleres Senden.
+          Default: {VAD_SILENCE_DEFAULT_SEC.toFixed(1)}s.
+        </Text>
+        <View style={styles.prerollRow}>
+          <TouchableOpacity
+            style={styles.prerollButton}
+            onPress={() => {
+              const next = Math.max(VAD_SILENCE_MIN_SEC, Math.round((vadSilenceSec - 0.5) * 10) / 10);
+              setVadSilenceSec(next);
+              AsyncStorage.setItem(VAD_SILENCE_STORAGE_KEY, String(next));
+            }}
+            disabled={vadSilenceSec <= VAD_SILENCE_MIN_SEC}
+          >
+            <Text style={styles.prerollButtonText}>−0.5</Text>
+          </TouchableOpacity>
+          <Text style={styles.prerollValue}>{vadSilenceSec.toFixed(1)} s</Text>
+          <TouchableOpacity
+            style={styles.prerollButton}
+            onPress={() => {
+              const next = Math.min(VAD_SILENCE_MAX_SEC, Math.round((vadSilenceSec + 0.5) * 10) / 10);
+              setVadSilenceSec(next);
+              AsyncStorage.setItem(VAD_SILENCE_STORAGE_KEY, String(next));
+            }}
+            disabled={vadSilenceSec >= VAD_SILENCE_MAX_SEC}
+          >
+            <Text style={styles.prerollButtonText}>+0.5</Text>
+          </TouchableOpacity>
+        </View>
+
+        <Text style={[styles.toggleLabel, {marginTop: 24}]}>Konversations-Fenster</Text>
+        <Text style={styles.toggleHint}>
+          Im Gespraechsmodus (Ohr-Button): nach ARIA's Antwort hast du so lange
+          Zeit, weiter zu sprechen, bevor die Konversation automatisch beendet wird.
+          Sprichst du nichts → Mikrofon zu.
+          Default: {CONV_WINDOW_DEFAULT_SEC.toFixed(1)}s.
+        </Text>
+        <View style={styles.prerollRow}>
+          <TouchableOpacity
+            style={styles.prerollButton}
+            onPress={() => {
+              const next = Math.max(CONV_WINDOW_MIN_SEC, Math.round((convWindowSec - 1) * 10) / 10);
+              setConvWindowSec(next);
+              AsyncStorage.setItem(CONV_WINDOW_STORAGE_KEY, String(next));
+            }}
+            disabled={convWindowSec <= CONV_WINDOW_MIN_SEC}
+          >
+            <Text style={styles.prerollButtonText}>−1</Text>
+          </TouchableOpacity>
+          <Text style={styles.prerollValue}>{convWindowSec.toFixed(0)} s</Text>
+          <TouchableOpacity
+            style={styles.prerollButton}
+            onPress={() => {
+              const next = Math.min(CONV_WINDOW_MAX_SEC, Math.round((convWindowSec + 1) * 10) / 10);
+              setConvWindowSec(next);
+              AsyncStorage.setItem(CONV_WINDOW_STORAGE_KEY, String(next));
+            }}
+            disabled={convWindowSec >= CONV_WINDOW_MAX_SEC}
+          >
+            <Text style={styles.prerollButtonText}>+1</Text>
+          </TouchableOpacity>
+        </View>
+      </View>
+
+      {/* === Wake-Word (geraetelokal) === */}
+      <Text style={styles.sectionTitle}>Wake-Word</Text>
+      <View style={styles.card}>
+        <Text style={styles.toggleHint}>
+          Wenn ein Picovoice-Access-Key eingetragen ist, hoert die App passiv
+          auf das gewaehlte Wake-Word — du kannst dich mit anderen unterhalten,
+          Musik laufen lassen und mit "{wakeKeyword}" eine Konversation mit
+          ARIA starten. Ohne Key oder bei Fehlschlag startet das Ohr direkt
+          eine Konversation (klassischer Modus).
+        </Text>
+
+        <Text style={[styles.toggleLabel, {marginTop: 16}]}>Picovoice Access Key</Text>
+        <View style={{flexDirection: 'row', alignItems: 'center', gap: 8, marginTop: 6}}>
+          <TextInput
+            style={[styles.input, {flex: 1}]}
+            value={wakeAccessKey}
+            onChangeText={setWakeAccessKey}
+            placeholder="kostenlos auf console.picovoice.ai"
+            placeholderTextColor="#666680"
+            secureTextEntry={!wakeAccessKeyVisible}
+            autoCapitalize="none"
+            autoCorrect={false}
+          />
+          <TouchableOpacity
+            onPress={() => setWakeAccessKeyVisible(v => !v)}
+            style={{padding: 8}}
+          >
+            <Text style={{fontSize: 18}}>{wakeAccessKeyVisible ? '🙈' : '👁'}</Text>
+          </TouchableOpacity>
+        </View>
+
+        <Text style={[styles.toggleLabel, {marginTop: 16}]}>Wake-Word</Text>
+        <Text style={styles.toggleHint}>
+          Built-In: sofort verwendbar. "ARIA" als Custom-Keyword kommt spaeter
+          ueber Diagnostic-Upload.
+        </Text>
+        <View style={{flexDirection: 'row', flexWrap: 'wrap', gap: 6, marginTop: 8}}>
+          {BUILTIN_KEYWORDS.map(kw => (
+            <TouchableOpacity
+              key={kw}
+              style={[
+                styles.keywordChip,
+                wakeKeyword === kw && styles.keywordChipActive,
+              ]}
+              onPress={() => setWakeKeyword(kw)}
+            >
+              <Text style={[
+                styles.keywordChipText,
+                wakeKeyword === kw && styles.keywordChipTextActive,
+              ]}>
+                {kw}
+              </Text>
+            </TouchableOpacity>
+          ))}
+        </View>
+
+        <View style={{flexDirection: 'row', gap: 8, marginTop: 16, alignItems: 'center'}}>
+          <TouchableOpacity
+            style={[styles.connectButton, {flex: 1}]}
+            onPress={async () => {
+              setWakeStatus('Initialisiere...');
+              try {
+                const ok = await wakeWordService.configure(wakeAccessKey, wakeKeyword);
+                setWakeStatus(ok ? `✅ "${wakeKeyword}" bereit` : '❌ Fehlgeschlagen — Access Key pruefen');
+              } catch (err: any) {
+                setWakeStatus('❌ ' + String(err?.message || err).slice(0, 80));
+              }
+              setTimeout(() => setWakeStatus(''), 5000);
+            }}
+          >
+            <Text style={styles.connectButtonText}>Speichern + Aktivieren</Text>
+          </TouchableOpacity>
+        </View>
+        {!!wakeStatus && (
+          <Text style={{marginTop: 8, fontSize: 12, color: '#8888AA'}}>{wakeStatus}</Text>
+        )}
+      </View>
+
+      {/* === Sprachausgabe (geraetelokal) === */}
       <Text style={styles.sectionTitle}>Sprachausgabe</Text>
       <View style={styles.card}>
-        {/* TTS An/Aus */}
         <View style={styles.toggleRow}>
           <View style={styles.toggleInfo}>
-            <Text style={styles.toggleLabel}>Sprachausgabe</Text>
-            <Text style={styles.toggleHint}>ARIA antwortet per Sprache (TTS)</Text>
+            <Text style={styles.toggleLabel}>Sprachausgabe auf diesem Geraet</Text>
+            <Text style={styles.toggleHint}>
+              Nur lokal — andere Geraete sind unabhaengig.
+              Wenn aus, erscheint im Chat auch kein Mund-Button.
+            </Text>
           </View>
           <Switch
             value={ttsEnabled}
             onValueChange={(val) => {
               setTtsEnabled(val);
               AsyncStorage.setItem('aria_tts_enabled', String(val));
-              rvs.send('config' as any, { ttsEnabled: val });
             }}
             trackColor={{ false: '#2A2A3E', true: '#0096FF' }}
             thumbColor={ttsEnabled ? '#FFFFFF' : '#666680'}
           />
         </View>
 
-        {/* Standard-Stimme */}
-        <View style={{marginTop: 16}}>
-          <Text style={styles.toggleLabel}>Standard-Stimme</Text>
-          <Text style={styles.toggleHint}>Fuer normale Antworten und Gespraeche</Text>
-          <View style={{flexDirection: 'row', gap: 8, marginTop: 8}}>
-            <TouchableOpacity
-              style={[styles.voiceBtn, defaultVoice === 'ramona' && styles.voiceBtnActive]}
-              onPress={() => { setDefaultVoice('ramona'); AsyncStorage.setItem('aria_default_voice', 'ramona'); rvs.send('config' as any, { defaultVoice: 'ramona' }); }}
-            >
-              <Text style={styles.voiceBtnIcon}>{'\uD83D\uDE4E\u200D\u2640\uFE0F'}</Text>
-              <Text style={[styles.voiceBtnText, defaultVoice === 'ramona' && styles.voiceBtnTextActive]}>Ramona</Text>
-              <Text style={styles.voiceBtnHint}>Weiblich, warm</Text>
-            </TouchableOpacity>
-            <TouchableOpacity
-              style={[styles.voiceBtn, defaultVoice === 'thorsten' && styles.voiceBtnActive]}
-              onPress={() => { setDefaultVoice('thorsten'); AsyncStorage.setItem('aria_default_voice', 'thorsten'); rvs.send('config' as any, { defaultVoice: 'thorsten' }); }}
-            >
-              <Text style={styles.voiceBtnIcon}>{'\uD83E\uDDD4'}</Text>
-              <Text style={[styles.voiceBtnText, defaultVoice === 'thorsten' && styles.voiceBtnTextActive]}>Thorsten</Text>
-              <Text style={styles.voiceBtnHint}>Maennlich, tief</Text>
-            </TouchableOpacity>
-          </View>
-        </View>
-
-        {/* Highlight-Stimme */}
-        <View style={{marginTop: 16}}>
-          <Text style={styles.toggleLabel}>Highlight-Stimme</Text>
-          <Text style={styles.toggleHint}>Fuer besondere Ereignisse (Deploy, Alarm, Erfolg)</Text>
-          <View style={{flexDirection: 'row', gap: 8, marginTop: 8}}>
-            <TouchableOpacity
-              style={[styles.voiceBtn, highlightVoice === 'thorsten' && styles.voiceBtnActive]}
-              onPress={() => { setHighlightVoice('thorsten'); AsyncStorage.setItem('aria_highlight_voice', 'thorsten'); rvs.send('config' as any, { highlightVoice: 'thorsten' }); }}
-            >
-              <Text style={styles.voiceBtnIcon}>{'\uD83E\uDDD4'}</Text>
-              <Text style={[styles.voiceBtnText, highlightVoice === 'thorsten' && styles.voiceBtnTextActive]}>Thorsten</Text>
-            </TouchableOpacity>
-            <TouchableOpacity
-              style={[styles.voiceBtn, highlightVoice === 'ramona' && styles.voiceBtnActive]}
-              onPress={() => { setHighlightVoice('ramona'); AsyncStorage.setItem('aria_highlight_voice', 'ramona'); rvs.send('config' as any, { highlightVoice: 'ramona' }); }}
-            >
-              <Text style={styles.voiceBtnIcon}>{'\uD83D\uDE4E\u200D\u2640\uFE0F'}</Text>
-              <Text style={[styles.voiceBtnText, highlightVoice === 'ramona' && styles.voiceBtnTextActive]}>Ramona</Text>
-            </TouchableOpacity>
-          </View>
-        </View>
-
-        {/* Sprechgeschwindigkeit Ramona */}
-        <View style={{marginTop: 16}}>
-          <Text style={styles.toggleLabel}>Ramona Speed: {speedRamona.toFixed(1)}x</Text>
-          <View style={{flexDirection: 'row', justifyContent: 'space-around', marginTop: 8}}>
-            {[0.5, 0.75, 1.0, 1.25, 1.5, 2.0].map(speed => (
+        {ttsEnabled && (
+          <View style={{marginTop: 20}}>
+            <Text style={styles.toggleLabel}>Puffer vor Wiedergabestart</Text>
+            <Text style={styles.toggleHint}>
+              Wie viel Audio gesammelt wird bevor die Wiedergabe startet.
+              Hoeher = robuster gegen Render-Pausen, aber mehr Startverzoegerung.
+              Default: {TTS_PREROLL_DEFAULT_SEC.toFixed(1)}s.
+            </Text>
+            <View style={styles.prerollRow}>
               <TouchableOpacity
-                key={speed}
+                style={styles.prerollButton}
                 onPress={() => {
-                  setSpeedRamona(speed);
-                  AsyncStorage.setItem('aria_speed_ramona', String(speed));
-                  rvs.send('config' as any, { speedRamona: speed });
-                }}
-                style={{
-                  paddingHorizontal: 10, paddingVertical: 6, borderRadius: 6,
-                  backgroundColor: speedRamona === speed ? '#0096FF' : '#1E1E2E',
+                  const next = Math.max(TTS_PREROLL_MIN_SEC, Math.round((ttsPrerollSec - 0.5) * 10) / 10);
+                  setTtsPrerollSec(next);
+                  AsyncStorage.setItem(TTS_PREROLL_STORAGE_KEY, String(next));
                 }}
+                disabled={ttsPrerollSec <= TTS_PREROLL_MIN_SEC}
               >
-                <Text style={{color: speedRamona === speed ? '#fff' : '#8888AA', fontSize: 12, fontWeight: '600'}}>
-                  {speed}x
-                </Text>
+                <Text style={styles.prerollButtonText}>−0.5</Text>
               </TouchableOpacity>
-            ))}
-          </View>
-        </View>
-
-        {/* Sprechgeschwindigkeit Thorsten */}
-        <View style={{marginTop: 16}}>
-          <Text style={styles.toggleLabel}>Thorsten Speed: {speedThorsten.toFixed(1)}x</Text>
-          <View style={{flexDirection: 'row', justifyContent: 'space-around', marginTop: 8}}>
-            {[0.5, 0.75, 1.0, 1.25, 1.5, 2.0].map(speed => (
+              <Text style={styles.prerollValue}>{ttsPrerollSec.toFixed(1)} s</Text>
               <TouchableOpacity
-                key={speed}
+                style={styles.prerollButton}
                 onPress={() => {
-                  setSpeedThorsten(speed);
-                  AsyncStorage.setItem('aria_speed_thorsten', String(speed));
-                  rvs.send('config' as any, { speedThorsten: speed });
-                }}
-                style={{
-                  paddingHorizontal: 10, paddingVertical: 6, borderRadius: 6,
-                  backgroundColor: speedThorsten === speed ? '#0096FF' : '#1E1E2E',
+                  const next = Math.min(TTS_PREROLL_MAX_SEC, Math.round((ttsPrerollSec + 0.5) * 10) / 10);
+                  setTtsPrerollSec(next);
+                  AsyncStorage.setItem(TTS_PREROLL_STORAGE_KEY, String(next));
                 }}
+                disabled={ttsPrerollSec >= TTS_PREROLL_MAX_SEC}
               >
-                <Text style={{color: speedThorsten === speed ? '#fff' : '#8888AA', fontSize: 12, fontWeight: '600'}}>
-                  {speed}x
-                </Text>
+                <Text style={styles.prerollButtonText}>+0.5</Text>
               </TouchableOpacity>
-            ))}
+            </View>
           </View>
-        </View>
+        )}
 
-        {/* Highlight-Trigger Info */}
-        <View style={{marginTop: 16, padding: 10, backgroundColor: '#1E1E2E', borderRadius: 8}}>
-          <Text style={styles.toggleLabel}>{'\u26A1'} Highlight-Trigger</Text>
-          <Text style={[styles.toggleHint, {marginTop: 4}]}>
-            Die Highlight-Stimme wird automatisch bei diesen Woertern verwendet:{'\n'}
-            deploy, erfolgreich, alarm, so soll es sein, kritisch, server down, sicherheitswarnung, ticket geloest, aufgabe abgeschlossen
-          </Text>
-        </View>
+        {ttsEnabled && (
+          <View style={{marginTop: 20}}>
+            <Text style={styles.toggleLabel}>Stimme (geraetelokal)</Text>
+            <Text style={styles.toggleHint}>
+              Eine geklonte Stimme auswaehlen. F5-TTS braucht zwingend eine Referenz —
+              ohne Auswahl gilt die in Diagnostic gewaehlte globale Stimme.
+            </Text>
+
+            {availableVoices.length === 0 ? (
+              <Text style={[styles.toggleHint, {marginTop: 8, textAlign: 'center'}]}>
+                Keine geklonten Stimmen vorhanden — unten "Eigene Stimme aufnehmen".
+              </Text>
+            ) : (
+              availableVoices.map(v => (
+                <View key={v.name} style={[styles.voiceRow, xttsVoice === v.name && styles.voiceRowActive]}>
+                  <TouchableOpacity
+                    style={{flex: 1}}
+                    onPress={() => selectVoice(v.name)}
+                  >
+                    <Text style={[styles.voiceRowName, xttsVoice === v.name && styles.voiceRowNameActive]}>
+                      {v.name}
+                    </Text>
+                    <Text style={styles.voiceRowMeta}>{(v.size / 1024).toFixed(0)} KB</Text>
+                  </TouchableOpacity>
+                  {loadingVoice === v.name && (
+                    <ActivityIndicator size="small" color="#0096FF" style={{marginRight: 8}} />
+                  )}
+                  {xttsVoice === v.name && loadingVoice !== v.name && <Text style={styles.voiceRowCheck}>{'\u2713'}</Text>}
+                  <TouchableOpacity onPress={() => deleteVoice(v.name)} style={styles.voiceRowDelete}>
+                    <Text style={styles.voiceRowDeleteIcon}>X</Text>
+                  </TouchableOpacity>
+                </View>
+              ))
+            )}
+
+            <View style={{flexDirection: 'row', gap: 8, marginTop: 12}}>
+              <TouchableOpacity
+                style={[styles.connectButton, {flex: 1}]}
+                onPress={() => setVoiceCloneVisible(true)}
+              >
+                <Text style={styles.connectButtonText}>{'\uD83C\uDFA4'} Eigene Stimme aufnehmen</Text>
+              </TouchableOpacity>
+              <TouchableOpacity
+                style={[styles.clearButton, {flex: 0.4, marginTop: 0}]}
+                onPress={() => rvs.send('xtts_list_voices' as any, {})}
+              >
+                <Text style={styles.clearButtonText}>Aktualisieren</Text>
+              </TouchableOpacity>
+            </View>
+          </View>
+        )}
       </View>
 
       {/* === Speicher === */}
@@ -901,6 +1168,55 @@ const styles = StyleSheet.create({
     marginTop: 2,
   },
 
+  // XTTS Voice List
+  voiceRow: {
+    flexDirection: 'row',
+    alignItems: 'center',
+    backgroundColor: '#1E1E2E',
+    borderRadius: 8,
+    padding: 10,
+    marginTop: 6,
+    borderWidth: 1,
+    borderColor: 'transparent',
+  },
+  voiceRowActive: {
+    borderColor: '#0096FF',
+    backgroundColor: '#0D1A2E',
+  },
+  voiceRowName: {
+    color: '#CCCCDD',
+    fontSize: 14,
+    fontWeight: '500',
+  },
+  voiceRowNameActive: {
+    color: '#FFFFFF',
+  },
+  voiceRowMeta: {
+    color: '#666680',
+    fontSize: 11,
+    marginTop: 2,
+  },
+  voiceRowCheck: {
+    color: '#34C759',
+    fontSize: 16,
+    fontWeight: '700',
+    marginHorizontal: 6,
+  },
+  voiceRowDelete: {
+    width: 28,
+    height: 28,
+    borderRadius: 14,
+    backgroundColor: 'rgba(255,59,48,0.2)',
+    alignItems: 'center',
+    justifyContent: 'center',
+    marginLeft: 4,
+  },
+  voiceRowDeleteIcon: {
+    color: '#FF3B30',
+    fontSize: 12,
+    fontWeight: '700',
+  },
+
   // Stimmen
   voiceBtn: {
     flex: 1,
@@ -1071,6 +1387,56 @@ const styles = StyleSheet.create({
   bottomSpacer: {
     height: 40,
   },
+
+  prerollRow: {
+    flexDirection: 'row',
+    alignItems: 'center',
+    justifyContent: 'center',
+    marginTop: 12,
+    gap: 16,
+  },
+  prerollButton: {
+    backgroundColor: '#2A2A3E',
+    paddingHorizontal: 18,
+    paddingVertical: 10,
+    borderRadius: 8,
+    minWidth: 72,
+    alignItems: 'center',
+  },
+  prerollButtonText: {
+    color: '#FFFFFF',
+    fontSize: 16,
+    fontWeight: '600',
+  },
+  prerollValue: {
+    color: '#FFFFFF',
+    fontSize: 20,
+    fontWeight: '700',
+    minWidth: 80,
+    textAlign: 'center',
+  },
+
+  keywordChip: {
+    backgroundColor: '#1E1E2E',
+    borderWidth: 1,
+    borderColor: '#2A2A3E',
+    paddingHorizontal: 12,
+    paddingVertical: 6,
+    borderRadius: 14,
+  },
+  keywordChipActive: {
+    backgroundColor: '#0096FF',
+    borderColor: '#0096FF',
+  },
+  keywordChipText: {
+    color: '#8888AA',
+    fontSize: 13,
+    fontWeight: '500',
+  },
+  keywordChipTextActive: {
+    color: '#FFFFFF',
+    fontWeight: '700',
+  },
 });
 
 export default SettingsScreen;

android/src/services/audio.ts

@@ -6,9 +6,10 @@
  * Nutzt react-native-audio-recorder-player fuer Aufnahme.
  */
 
-import { Platform, PermissionsAndroid } from 'react-native';
+import { Platform, PermissionsAndroid, NativeModules } from 'react-native';
 import Sound from 'react-native-sound';
 import RNFS from 'react-native-fs';
+import AsyncStorage from '@react-native-async-storage/async-storage';
 import AudioRecorderPlayer, {
   AudioEncoderAndroidType,
   AudioSourceAndroidType,
@@ -16,6 +17,38 @@ import AudioRecorderPlayer, {
   OutputFormatAndroidType,
 } from 'react-native-audio-recorder-player';
 
+// Base64-Encoder fuer Binary-Strings (Header-Bytes → Base64)
+const B64_CHARS = 'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/';
+function btoaSafe(bin: string): string {
+  let out = '';
+  const len = bin.length;
+  for (let i = 0; i < len; i += 3) {
+    const b1 = bin.charCodeAt(i) & 0xff;
+    const b2 = i + 1 < len ? bin.charCodeAt(i + 1) & 0xff : 0;
+    const b3 = i + 2 < len ? bin.charCodeAt(i + 2) & 0xff : 0;
+    out += B64_CHARS[b1 >> 2];
+    out += B64_CHARS[((b1 & 0x03) << 4) | (b2 >> 4)];
+    out += i + 1 < len ? B64_CHARS[((b2 & 0x0f) << 2) | (b3 >> 6)] : '=';
+    out += i + 2 < len ? B64_CHARS[b3 & 0x3f] : '=';
+  }
+  return out;
+}
+
+// Native Module fuer Audio-Focus (Ducking/Muten anderer Apps)
+const { AudioFocus, PcmStreamPlayer } = NativeModules as {
+  AudioFocus?: {
+    requestDuck: () => Promise<boolean>;
+    requestExclusive: () => Promise<boolean>;
+    release: () => Promise<boolean>;
+  };
+  PcmStreamPlayer?: {
+    start: (sampleRate: number, channels: number, prerollSeconds: number) => Promise<boolean>;
+    writeChunk: (base64Pcm: string) => Promise<boolean>;
+    end: () => Promise<boolean>;
+    stop: () => Promise<boolean>;
+  };
+};
+
 // --- Typen ---
 
 export interface RecordingResult {
@@ -41,7 +74,73 @@ const AUDIO_ENCODING = 'audio/wav';
 
 // VAD (Voice Activity Detection) — Stille-Erkennung
 const VAD_SILENCE_THRESHOLD_DB = -45;  // dB unter dem als "Stille" gilt
-const VAD_SILENCE_DURATION_MS = 1800;  // ms Stille bevor Auto-Stop
+const VAD_SPEECH_THRESHOLD_DB = -28;   // dB ueber dem als "Sprache" gilt (Sprach-Gate) — hoeher = weniger Umgebungsgeraeusche
+const VAD_SPEECH_MIN_MS = 500;         // ms Sprache bevor Aufnahme zaehlt — laenger = keine Huestler/Klopfer mehr
+
+// VAD-Stille (in Sekunden) — wie lange Sprechpause toleriert wird, bevor
+// die Aufnahme automatisch beendet wird. Einstellbar in den App-Settings.
+export const VAD_SILENCE_DEFAULT_SEC = 2.8;
+export const VAD_SILENCE_MIN_SEC = 1.0;
+export const VAD_SILENCE_MAX_SEC = 8.0;
+export const VAD_SILENCE_STORAGE_KEY = 'aria_vad_silence_sec';
+
+// Konversations-Fenster (in Sekunden) — nach ARIA's Antwort hat der User so
+// lange Zeit, im Gespraechsmodus weiter zu sprechen, ohne dass die Konversation
+// beendet wird. Sprichst du im Fenster nichts → Konversation aus.
+export const CONV_WINDOW_DEFAULT_SEC = 8.0;
+export const CONV_WINDOW_MIN_SEC = 3.0;
+export const CONV_WINDOW_MAX_SEC = 20.0;
+export const CONV_WINDOW_STORAGE_KEY = 'aria_conv_window_sec';
+
+export async function loadConvWindowMs(): Promise<number> {
+  try {
+    const raw = await AsyncStorage.getItem(CONV_WINDOW_STORAGE_KEY);
+    if (raw != null) {
+      const n = parseFloat(raw);
+      if (isFinite(n) && n >= CONV_WINDOW_MIN_SEC && n <= CONV_WINDOW_MAX_SEC) {
+        return Math.round(n * 1000);
+      }
+    }
+  } catch {}
+  return Math.round(CONV_WINDOW_DEFAULT_SEC * 1000);
+}
+
+async function loadVadSilenceMs(): Promise<number> {
+  try {
+    const raw = await AsyncStorage.getItem(VAD_SILENCE_STORAGE_KEY);
+    if (raw != null) {
+      const n = parseFloat(raw);
+      if (isFinite(n) && n >= VAD_SILENCE_MIN_SEC && n <= VAD_SILENCE_MAX_SEC) {
+        return Math.round(n * 1000);
+      }
+    }
+  } catch {}
+  return Math.round(VAD_SILENCE_DEFAULT_SEC * 1000);
+}
+
+// Max-Dauer einer Aufnahme (Notbremse gegen Runaway-Loops). Auf 2 Minuten
+// hochgezogen damit auch laengere Erklaerungen durchgehen.
+const MAX_RECORDING_MS = 120000;
+
+// Pre-Roll: Wie lange Audio im AudioTrack-Buffer liegt bevor play() startet.
+// Einstellbar via Diagnostic/Settings (Key: aria_tts_preroll_sec).
+export const TTS_PREROLL_DEFAULT_SEC = 3.5;
+export const TTS_PREROLL_MIN_SEC = 1.0;
+export const TTS_PREROLL_MAX_SEC = 6.0;
+export const TTS_PREROLL_STORAGE_KEY = 'aria_tts_preroll_sec';
+
+async function loadPrerollSec(): Promise<number> {
+  try {
+    const raw = await AsyncStorage.getItem(TTS_PREROLL_STORAGE_KEY);
+    if (raw != null) {
+      const n = parseFloat(raw);
+      if (isFinite(n) && n >= TTS_PREROLL_MIN_SEC && n <= TTS_PREROLL_MAX_SEC) {
+        return n;
+      }
+    }
+  } catch {}
+  return TTS_PREROLL_DEFAULT_SEC;
+}
 
 // --- Audio-Service ---
 
@@ -61,10 +160,25 @@ class AudioService {
   private preloadedSound: Sound | null = null;
   private preloadedPath: string = '';
 
+  // Sprach-Gate: Aufnahme erst senden wenn tatsaechlich gesprochen wurde
+  private speechDetected: boolean = false;
+  private speechStartTime: number = 0;
+
+  // PCM-Stream (XTTS): aktive Session + Cache-Puffer pro messageId
+  private pcmStreamActive: boolean = false;
+  private pcmMessageId: string = '';
+  private pcmSampleRate: number = 24000;
+  private pcmChannels: number = 1;
+  private pcmBuffer: string[] = []; // base64-chunks zum spaeteren WAV-Build
+  private pcmBytesCollected: number = 0;
+  private readonly PCM_MAX_CACHE_BYTES = 30 * 1024 * 1024; // 30MB
+
   // VAD State
   private vadEnabled: boolean = false;
   private lastSpeechTime: number = 0;
   private vadTimer: ReturnType<typeof setInterval> | null = null;
+  private maxDurationTimer: ReturnType<typeof setTimeout> | null = null;
+  private noSpeechTimer: ReturnType<typeof setTimeout> | null = null;
 
   constructor() {
     this.recorder = new AudioRecorderPlayer();
@@ -97,8 +211,16 @@ class AudioService {
 
   // --- Aufnahme ---
 
-  /** Mikrofon-Aufnahme starten */
-  async startRecording(autoStop: boolean = false): Promise<boolean> {
+  /** Mikrofon-Aufnahme starten.
+   *
+   *  @param autoStop          VAD aktivieren — Auto-Stop bei Stille
+   *  @param noSpeechTimeoutMs Wenn der User innerhalb dieser Zeit nichts sagt,
+   *                           wird Stille gemeldet (Recording wird verworfen).
+   *                           Fuer Conversation-Window: nach ARIA's Antwort
+   *                           hast du nur N Sekunden um anzufangen, sonst
+   *                           Gespraech zu Ende.
+   */
+  async startRecording(autoStop: boolean = false, noSpeechTimeoutMs: number = 0): Promise<boolean> {
     if (this.recordingState !== 'idle') {
       console.warn('[Audio] Aufnahme laeuft bereits');
       return false;
@@ -114,6 +236,10 @@ class AudioService {
       // Laufende Wiedergabe stoppen (damit ARIA sich nicht selbst hoert)
       this.stopPlayback();
 
+      // Aufraeumen: Alte aria_recording_ und aria_tts_ Files loeschen
+      // (Schutz gegen Cache-Ueberlauf im Gespraechsmodus bei vielen Zyklen)
+      this._cleanupStaleCacheFiles().catch(() => {});
+
       this.recordingPath = `${RNFS.CachesDirectoryPath}/aria_recording_${Date.now()}.mp4`;
 
       // Aufnahme mit Metering starten
@@ -121,6 +247,8 @@ class AudioService {
         AudioEncoderAndroid: AudioEncoderAndroidType.AAC,
         AudioSourceAndroid: AudioSourceAndroidType.MIC,
         OutputFormatAndroid: OutputFormatAndroidType.MPEG_4,
+        AudioSamplingRateAndroid: 16000,
+        AudioChannelsAndroid: 1,
       }, true); // meteringEnabled = true
 
       // Metering-Callback
@@ -128,7 +256,21 @@ class AudioService {
         const db = e.currentMetering ?? -160;
         this.meterListeners.forEach(cb => cb(db));
 
-        // VAD: Stille erkennen
+        // Sprach-Gate: Erkennen ob tatsaechlich gesprochen wird
+        if (db > VAD_SPEECH_THRESHOLD_DB) {
+          if (!this.speechDetected && this.speechStartTime === 0) {
+            this.speechStartTime = Date.now();
+          }
+          if (this.speechStartTime > 0 && Date.now() - this.speechStartTime >= VAD_SPEECH_MIN_MS) {
+            this.speechDetected = true;
+          }
+        } else {
+          if (!this.speechDetected) {
+            this.speechStartTime = 0; // Reset wenn noch nicht als Sprache erkannt
+          }
+        }
+
+        // VAD: Stille erkennen (nur wenn Sprache erkannt wurde)
         if (this.vadEnabled) {
           if (db > VAD_SILENCE_THRESHOLD_DB) {
             this.lastSpeechTime = Date.now();
@@ -138,18 +280,42 @@ class AudioService {
 
       this.recordingStartTime = Date.now();
       this.lastSpeechTime = Date.now();
+      this.speechDetected = false;
+      this.speechStartTime = 0;
       this.setState('recording');
 
-      // VAD aktivieren
+      // Andere Apps waehrend der Aufnahme pausieren (Musik, Videos etc.)
+      AudioFocus?.requestExclusive().catch(() => {});
+
+      // VAD aktivieren — Stille-Dauer aus AsyncStorage (Settings-konfigurierbar)
       this.vadEnabled = autoStop;
       if (autoStop) {
+        const vadSilenceMs = await loadVadSilenceMs();
+        console.log('[Audio] VAD-Stille:', vadSilenceMs, 'ms');
         this.vadTimer = setInterval(() => {
           const silenceDuration = Date.now() - this.lastSpeechTime;
-          if (silenceDuration >= VAD_SILENCE_DURATION_MS) {
+          if (silenceDuration >= vadSilenceMs) {
             console.log(`[Audio] VAD: ${silenceDuration}ms Stille — Auto-Stop`);
             this.silenceListeners.forEach(cb => cb());
           }
         }, 200);
+        // Notbremse: Nach MAX_RECORDING_MS zwangsweise stoppen
+        this.maxDurationTimer = setTimeout(() => {
+          console.warn(`[Audio] Max-Dauer ${MAX_RECORDING_MS}ms erreicht — Zwangs-Stop`);
+          this.silenceListeners.forEach(cb => cb());
+        }, MAX_RECORDING_MS);
+      }
+
+      // Conversation-Window: Wenn der User innerhalb noSpeechTimeoutMs nicht
+      // anfaengt zu sprechen → Aufnahme abbrechen (Speech-Gate verwirft sie),
+      // ChatScreen erkennt das und beendet die Konversation.
+      if (noSpeechTimeoutMs > 0) {
+        this.noSpeechTimer = setTimeout(() => {
+          if (!this.speechDetected && this.recordingState === 'recording') {
+            console.log(`[Audio] Conversation-Window ${noSpeechTimeoutMs}ms ohne Sprache — Stop`);
+            this.silenceListeners.forEach(cb => cb());
+          }
+        }, noSpeechTimeoutMs);
       }
 
       console.log('[Audio] Aufnahme gestartet (autoStop: %s)', autoStop);
@@ -174,12 +340,32 @@ class AudioService {
       clearInterval(this.vadTimer);
       this.vadTimer = null;
     }
+    if (this.maxDurationTimer) {
+      clearTimeout(this.maxDurationTimer);
+      this.maxDurationTimer = null;
+    }
+    if (this.noSpeechTimer) {
+      clearTimeout(this.noSpeechTimer);
+      this.noSpeechTimer = null;
+    }
 
     try {
       await this.recorder.stopRecorder();
       this.recorder.removeRecordBackListener();
 
+      // Audio-Focus freigeben — andere Apps duerfen wieder
+      AudioFocus?.release().catch(() => {});
+
       const durationMs = Date.now() - this.recordingStartTime;
+      const hadSpeech = this.speechDetected;
+
+      // Sprach-Gate: Wenn keine Sprache erkannt → Aufnahme verwerfen
+      if (!hadSpeech) {
+        RNFS.unlink(this.recordingPath).catch(() => {});
+        this.setState('idle');
+        console.log('[Audio] Aufnahme verworfen — keine Sprache erkannt (nur Umgebungsgeraeusche)');
+        return null;
+      }
 
       // Audio-Datei als Base64 lesen
       const base64Data = await RNFS.readFile(this.recordingPath, 'base64');
@@ -188,7 +374,7 @@ class AudioService {
       RNFS.unlink(this.recordingPath).catch(() => {});
 
       this.setState('idle');
-      console.log(`[Audio] Aufnahme beendet (${durationMs}ms, ${Math.round(base64Data.length / 1024)}KB)`);
+      console.log(`[Audio] Aufnahme beendet (${durationMs}ms, ${Math.round(base64Data.length / 1024)}KB, Sprache erkannt)`);
 
       return {
         base64: base64Data,
@@ -214,13 +400,213 @@ class AudioService {
     }
   }
 
+  /** Base64-Audio persistent speichern. Gibt file:// Pfad zurueck (oder leer bei Fehler). */
+  async cacheAudio(base64Data: string, messageId: string): Promise<string> {
+    if (!base64Data || !messageId) return '';
+    try {
+      const dir = `${RNFS.DocumentDirectoryPath}/tts_cache`;
+      await RNFS.mkdir(dir).catch(() => {});
+      const path = `${dir}/${messageId}.wav`;
+      // Wenn Datei schon existiert (z.B. XTTS Chunks) → anhaengen statt ueberschreiben
+      const exists = await RNFS.exists(path);
+      if (exists) {
+        // Bestehende + neue Base64 laden, zusammenkleben (fuer jetzt: ueberschreiben)
+        // XTTS sendet mehrere Chunks — bei mehrfacher Ueberschreibung bleibt nur der letzte
+        // Fuer eine echte Konkatenation muesste WAV-Header gemerged werden
+        await RNFS.writeFile(path, base64Data, 'base64');
+      } else {
+        await RNFS.writeFile(path, base64Data, 'base64');
+      }
+      return `file://${path}`;
+    } catch (err) {
+      console.warn('[Audio] cacheAudio fehlgeschlagen:', err);
+      return '';
+    }
+  }
+
+  /** Einen PCM-Chunk aus einer audio_pcm Nachricht empfangen.
+   *  silent=true → nur cachen, nicht abspielen (z.B. wenn TTS geraetelokal gemutet).
+   *  Gibt bei final=true den Cache-Pfad zurueck (file://) oder '' wenn nicht gecached. */
+  async handlePcmChunk(payload: {
+    base64: string;
+    sampleRate?: number;
+    channels?: number;
+    messageId?: string;
+    chunk?: number;
+    final?: boolean;
+    silent?: boolean;
+  }): Promise<string> {
+    const silent = !!payload.silent;
+    if (!silent && !PcmStreamPlayer) {
+      console.warn('[Audio] PcmStreamPlayer Native Module nicht verfuegbar');
+      return '';
+    }
+
+    const messageId = payload.messageId || '';
+    const sampleRate = payload.sampleRate || 24000;
+    const channels = payload.channels || 1;
+    const base64 = payload.base64 || '';
+    const isFinal = !!payload.final;
+
+    // Neuer Stream? (messageId Wechsel oder nicht aktiv)
+    if (!this.pcmStreamActive || this.pcmMessageId !== messageId) {
+      if (this.pcmStreamActive && !silent) {
+        try { await PcmStreamPlayer!.stop(); } catch {}
+        this.pcmBuffer = [];
+        this.pcmBytesCollected = 0;
+      }
+      this.pcmStreamActive = true;
+      this.pcmMessageId = messageId;
+      this.pcmSampleRate = sampleRate;
+      this.pcmChannels = channels;
+      this.pcmBuffer = [];
+      this.pcmBytesCollected = 0;
+      if (!silent) {
+        const prerollSec = await loadPrerollSec();
+        try {
+          await PcmStreamPlayer!.start(sampleRate, channels, prerollSec);
+        } catch (err) {
+          console.error('[Audio] PcmStreamPlayer.start fehlgeschlagen:', err);
+          this.pcmStreamActive = false;
+          return '';
+        }
+        AudioFocus?.requestDuck().catch(() => {});
+      }
+    }
+
+    // Chunk — immer cachen, nur bei !silent auch abspielen
+    if (base64) {
+      if (!silent) {
+        try { await PcmStreamPlayer!.writeChunk(base64); } catch (err) { console.warn('[Audio] writeChunk', err); }
+      }
+      if (messageId && this.pcmBytesCollected < this.PCM_MAX_CACHE_BYTES) {
+        this.pcmBuffer.push(base64);
+        this.pcmBytesCollected += Math.floor(base64.length * 0.75);
+      }
+    }
+
+    if (isFinal) {
+      if (!silent) {
+        // end() resolved jetzt erst wenn der native Writer-Thread fertig
+        // ist (alle Samples ausgespielt) — danach erst AudioFocus freigeben,
+        // damit Spotify/YouTube nicht waehrend des Pre-Roll-Ausklangs
+        // wieder aufdrehen.
+        try { await PcmStreamPlayer!.end(); } catch {}
+        AudioFocus?.release().catch(() => {});
+      }
+      this.pcmStreamActive = false;
+
+      if (messageId && this.pcmBuffer.length > 0) {
+        const audioPath = await this._savePcmBufferAsWav(messageId);
+        this.pcmBuffer = [];
+        this.pcmBytesCollected = 0;
+        this.pcmMessageId = '';
+        return audioPath;
+      }
+      this.pcmMessageId = '';
+    }
+    return '';
+  }
+
+  /** Gesammelte PCM-Chunks als WAV speichern. Gibt file:// Pfad zurueck. */
+  private async _savePcmBufferAsWav(messageId: string): Promise<string> {
+    try {
+      const dir = `${RNFS.DocumentDirectoryPath}/tts_cache`;
+      await RNFS.mkdir(dir).catch(() => {});
+      const path = `${dir}/${messageId}.wav`;
+
+      // WAV-Header fuer PCM s16le
+      const sampleRate = this.pcmSampleRate;
+      const channels = this.pcmChannels;
+      const bitsPerSample = 16;
+      const byteRate = sampleRate * channels * bitsPerSample / 8;
+      const blockAlign = channels * bitsPerSample / 8;
+      const dataSize = this.pcmBytesCollected;
+      const fileSize = 36 + dataSize;
+
+      // Header als Base64 (44 bytes)
+      const header = new Uint8Array(44);
+      const dv = new DataView(header.buffer);
+      // "RIFF"
+      header[0] = 0x52; header[1] = 0x49; header[2] = 0x46; header[3] = 0x46;
+      dv.setUint32(4, fileSize, true);
+      // "WAVE"
+      header[8] = 0x57; header[9] = 0x41; header[10] = 0x56; header[11] = 0x45;
+      // "fmt "
+      header[12] = 0x66; header[13] = 0x6d; header[14] = 0x74; header[15] = 0x20;
+      dv.setUint32(16, 16, true);  // fmt chunk size
+      dv.setUint16(20, 1, true);    // PCM format
+      dv.setUint16(22, channels, true);
+      dv.setUint32(24, sampleRate, true);
+      dv.setUint32(28, byteRate, true);
+      dv.setUint16(32, blockAlign, true);
+      dv.setUint16(34, bitsPerSample, true);
+      // "data"
+      header[36] = 0x64; header[37] = 0x61; header[38] = 0x74; header[39] = 0x61;
+      dv.setUint32(40, dataSize, true);
+
+      // Header als base64
+      let headerB64 = '';
+      const chunk = 1024;
+      for (let i = 0; i < header.length; i += chunk) {
+        headerB64 += String.fromCharCode(...Array.from(header.slice(i, i + chunk)));
+      }
+      headerB64 = btoaSafe(headerB64);
+
+      // Datei schreiben: Header + alle PCM-Chunks
+      await RNFS.writeFile(path, headerB64, 'base64');
+      for (const b64 of this.pcmBuffer) {
+        await RNFS.appendFile(path, b64, 'base64');
+      }
+      console.log(`[Audio] PCM-Cache geschrieben: ${path} (${(dataSize / 1024).toFixed(0)}KB, ${this.pcmBuffer.length} chunks)`);
+      return `file://${path}`;
+    } catch (err) {
+      console.warn('[Audio] _savePcmBufferAsWav fehlgeschlagen:', err);
+      return '';
+    }
+  }
+
+  /** Audio aus lokaler Datei (file:// Pfad) in die Queue und abspielen. */
+  async playFromPath(filePath: string): Promise<void> {
+    if (!filePath) return;
+    try {
+      const cleanPath = filePath.replace(/^file:\/\//, '');
+      if (!(await RNFS.exists(cleanPath))) {
+        console.warn('[Audio] Cache-Datei existiert nicht mehr:', cleanPath);
+        return;
+      }
+      const b64 = await RNFS.readFile(cleanPath, 'base64');
+      this.playAudio(b64);
+    } catch (err) {
+      console.warn('[Audio] playFromPath fehlgeschlagen:', err);
+    }
+  }
+
+  // Callback wenn alle Audio-Teile abgespielt sind
+  private playbackFinishedListeners: (() => void)[] = [];
+
+  onPlaybackFinished(callback: () => void): () => void {
+    this.playbackFinishedListeners.push(callback);
+    return () => {
+      this.playbackFinishedListeners = this.playbackFinishedListeners.filter(cb => cb !== callback);
+    };
+  }
+
   /** Naechstes Audio aus der Queue abspielen */
   private async _playNext(): Promise<void> {
     if (this.audioQueue.length === 0) {
       this.isPlaying = false;
+      // Audio-Focus abgeben → andere Apps volle Lautstaerke
+      AudioFocus?.release().catch(() => {});
+      // Alle Audio-Teile abgespielt → Listener benachrichtigen
+      this.playbackFinishedListeners.forEach(cb => cb());
       return;
     }
 
+    // Beim ersten Playback-Start: andere Apps ducken
+    if (!this.isPlaying) {
+      AudioFocus?.requestDuck().catch(() => {});
+    }
     this.isPlaying = true;
 
     // Preloaded Sound verwenden wenn verfuegbar, sonst neu laden
@@ -296,6 +682,16 @@ class AudioService {
       if (this.preloadedPath) RNFS.unlink(this.preloadedPath).catch(() => {});
       this.preloadedPath = '';
     }
+    // PCM-Stream ebenfalls hart stoppen (Cancel/Abbruch)
+    if (this.pcmStreamActive) {
+      PcmStreamPlayer?.stop().catch(() => {});
+      this.pcmStreamActive = false;
+      this.pcmBuffer = [];
+      this.pcmBytesCollected = 0;
+      this.pcmMessageId = '';
+    }
+    // Audio-Focus freigeben
+    AudioFocus?.release().catch(() => {});
   }
 
   // --- Status & Callbacks ---
@@ -334,6 +730,46 @@ class AudioService {
       this.stateListeners.forEach(cb => cb(state));
     }
   }
+
+  /** Alte Aufnahme- und TTS-Files aus dem Cache loeschen (>30s alt). */
+  private async _cleanupStaleCacheFiles(): Promise<void> {
+    try {
+      const files = await RNFS.readDir(RNFS.CachesDirectoryPath);
+      const now = Date.now();
+      for (const f of files) {
+        if (!f.isFile()) continue;
+        if (!f.name.startsWith('aria_recording_') && !f.name.startsWith('aria_tts_')) continue;
+        const age = now - (f.mtime ? f.mtime.getTime() : 0);
+        if (age > 30000) {
+          await RNFS.unlink(f.path).catch(() => {});
+        }
+      }
+    } catch {
+      // silent — cleanup ist best-effort
+    }
+  }
+
+  /** Alte TTS-Cache-Dateien loeschen die nicht mehr referenziert sind (>30 Tage). */
+  async cleanupOldTTSCache(keepMessageIds: Set<string>, maxAgeDays = 30): Promise<void> {
+    try {
+      const dir = `${RNFS.DocumentDirectoryPath}/tts_cache`;
+      if (!(await RNFS.exists(dir))) return;
+      const files = await RNFS.readDir(dir);
+      const maxAgeMs = maxAgeDays * 24 * 60 * 60 * 1000;
+      const now = Date.now();
+      for (const f of files) {
+        if (!f.isFile() || !f.name.endsWith('.wav')) continue;
+        const messageId = f.name.replace(/\.wav$/, '');
+        const age = now - (f.mtime ? f.mtime.getTime() : 0);
+        // Loeschen wenn: nicht mehr referenziert UND aelter als X Tage
+        if (!keepMessageIds.has(messageId) && age > maxAgeMs) {
+          await RNFS.unlink(f.path).catch(() => {});
+        }
+      }
+    } catch {
+      // silent
+    }
+  }
 }
 
 // Singleton

android/src/services/wakeword.ts

@@ -1,46 +1,218 @@
 /**
- * Wake Word Service — "ARIA" Erkennung
+ * Gespraechsmodus / Wake Word Service
  *
- * Phase 1: Deaktiviert — react-native-live-audio-stream hat native Bridge-Probleme.
- * Nutzt stattdessen Tap-to-Talk (VoiceButton) als primaeren Eingabemodus.
+ * Drei Zustaende:
+ *   off        — Ohr aus, nichts laeuft
+ *   armed      — Ohr aktiv, Porcupine hoert passiv auf das Wake-Word.
+ *                Das Mikro ist von Porcupine belegt; AudioRecorder ist aus.
+ *   conversing — Wake-Word getriggert (oder Ohr-Tap ohne Wake-Word):
+ *                aktive Konversation. Porcupine pausiert (gibt Mikro frei),
+ *                AudioRecorder uebernimmt fuer die Aufnahme.
+ *                Nach jeder ARIA-Antwort oeffnet das Mikro fuer X Sekunden
+ *                (Conversation-Window). Stille im Fenster → zurueck zu armed.
  *
- * Phase 2: Porcupine on-device "ARIA" Keyword (geplant).
+ * Wake-Word fallback: ist kein Picovoice-Access-Key gesetzt, geht 'start'
+ * direkt in 'conversing' (klassischer Gespraechsmodus). 'endConversation'
+ * geht dann nach 'off' statt 'armed'.
  */
 
+import AsyncStorage from '@react-native-async-storage/async-storage';
+
 type WakeWordCallback = () => void;
 type StateCallback = (state: WakeWordState) => void;
 
-export type WakeWordState = 'off' | 'listening' | 'detected';
+export type WakeWordState = 'off' | 'armed' | 'conversing';
+
+export const WAKE_ACCESS_KEY_STORAGE = 'aria_wake_access_key';
+export const WAKE_KEYWORD_STORAGE = 'aria_wake_keyword';
+
+/** Built-In Keywords von Picovoice — pre-trained, sofort einsetzbar.
+ *  Custom Keywords (z.B. "ARIA") brauchen ein .ppn File aus der Picovoice
+ *  Console — wird spaeter ueber Diagnostic uploadbar. */
+export const BUILTIN_KEYWORDS = [
+  'jarvis',
+  'computer',
+  'picovoice',
+  'porcupine',
+  'bumblebee',
+  'terminator',
+  'alexa',
+  'hey google',
+  'ok google',
+  'hey siri',
+] as const;
+export type BuiltinKeyword = typeof BUILTIN_KEYWORDS[number];
+export const DEFAULT_KEYWORD: BuiltinKeyword = 'jarvis';
 
 class WakeWordService {
   private state: WakeWordState = 'off';
   private wakeCallbacks: WakeWordCallback[] = [];
   private stateCallbacks: StateCallback[] = [];
 
-  /** Wake Word Erkennung starten */
-  async start(): Promise<boolean> {
-    if (this.state === 'listening') return true;
+  // Picovoice Manager (lazy, da Native Module nicht in jedem Build verfuegbar ist)
+  private porcupine: any = null;
+  private accessKey: string = '';
+  private keyword: string = DEFAULT_KEYWORD;
+  private initInProgress: Promise<boolean> | null = null;
 
+  /** Beim App-Start aufrufen — laedt Settings, baut Porcupine wenn Key da ist. */
+  async loadFromStorage(): Promise<void> {
     try {
-      // Phase 1: LiveAudioStream deaktiviert (native Bridge instabil)
-      // Stattdessen: Tap-to-Talk als primaerer Modus
-      console.log('[WakeWord] Wake Word ist in Phase 1 noch nicht verfuegbar — nutze Tap-to-Talk');
-      this.setState('listening');
-      return true;
+      const k = await AsyncStorage.getItem(WAKE_ACCESS_KEY_STORAGE);
+      const w = await AsyncStorage.getItem(WAKE_KEYWORD_STORAGE);
+      this.accessKey = (k || '').trim();
+      this.keyword = (w || DEFAULT_KEYWORD).trim();
+      if (this.accessKey) {
+        // Vorinitialisieren — wirft sich nicht durch wenn etwas fehlt
+        await this.initPorcupine();
+      }
     } catch (err) {
-      console.error('[WakeWord] Start fehlgeschlagen:', err);
-      return false;
+      console.warn('[WakeWord] loadFromStorage', err);
     }
   }
 
-  /** Wake Word Erkennung stoppen */
-  stop(): void {
+  /** Settings-Wechsel — neuer Key oder Keyword. Re-Init Porcupine. */
+  async configure(accessKey: string, keyword: string): Promise<boolean> {
+    this.accessKey = (accessKey || '').trim();
+    this.keyword = (keyword || DEFAULT_KEYWORD).trim();
+    await AsyncStorage.setItem(WAKE_ACCESS_KEY_STORAGE, this.accessKey);
+    await AsyncStorage.setItem(WAKE_KEYWORD_STORAGE, this.keyword);
+
+    // Laufende Instanz stoppen
+    await this.disposePorcupine();
+    if (!this.accessKey) return false;
+
+    // Neu initialisieren
+    return this.initPorcupine();
+  }
+
+  private async initPorcupine(): Promise<boolean> {
+    if (this.initInProgress) return this.initInProgress;
+    this.initInProgress = (async () => {
+      try {
+        const { PorcupineManager } = require('@picovoice/porcupine-react-native');
+        // Built-In Keyword-Identifier sind lower-case strings im SDK
+        this.porcupine = await PorcupineManager.fromBuiltInKeywords(
+          this.accessKey,
+          [this.keyword],
+          (_keywordIndex: number) => this.onWakeDetected(),
+        );
+        console.log('[WakeWord] Porcupine init OK (keyword=%s)', this.keyword);
+        return true;
+      } catch (err) {
+        console.warn('[WakeWord] Porcupine init fehlgeschlagen:', err);
+        this.porcupine = null;
+        return false;
+      } finally {
+        this.initInProgress = null;
+      }
+    })();
+    return this.initInProgress;
+  }
+
+  private async disposePorcupine() {
+    if (this.porcupine) {
+      try { await this.porcupine.stop(); } catch {}
+      try { await this.porcupine.delete(); } catch {}
+      this.porcupine = null;
+    }
+  }
+
+  /** Ohr-Button gedrueckt — startet passives Lauschen oder direkt Konversation. */
+  async start(): Promise<boolean> {
+    if (this.state !== 'off') return true;
+    if (this.porcupine) {
+      // Passives Lauschen via Porcupine
+      try {
+        await this.porcupine.start();
+        console.log('[WakeWord] armed — warte auf Wake Word "%s"', this.keyword);
+        this.setState('armed');
+        return true;
+      } catch (err) {
+        console.warn('[WakeWord] Porcupine start fehlgeschlagen — Fallback Direkt-Konversation:', err);
+      }
+    }
+    // Fallback: direkt in die Konversation
+    console.log('[WakeWord] Konversation startet sofort (kein Wake-Word)');
+    this.setState('conversing');
+    setTimeout(() => {
+      if (this.state === 'conversing') {
+        this.wakeCallbacks.forEach(cb => cb());
+      }
+    }, 500);
+    return true;
+  }
+
+  /** Komplett ausschalten (Ohr abschalten) */
+  async stop(): Promise<void> {
+    console.log('[WakeWord] Ohr deaktiviert');
+    if (this.porcupine) {
+      try { await this.porcupine.stop(); } catch {}
+    }
     this.setState('off');
   }
 
-  /** Nach Aufnahme erneut starten */
+  /** Wake-Word getriggert: Porcupine pausieren, Konversation starten. */
+  private async onWakeDetected(): Promise<void> {
+    console.log('[WakeWord] Wake-Word "%s" erkannt!', this.keyword);
+    if (this.porcupine) {
+      try { await this.porcupine.stop(); } catch {}
+    }
+    this.setState('conversing');
+    // kurz warten damit Mikrofon frei ist
+    setTimeout(() => {
+      if (this.state === 'conversing') {
+        this.wakeCallbacks.forEach(cb => cb());
+      }
+    }, 200);
+  }
+
+  /** Konversation beenden — User hat im Window nichts gesagt.
+   *  Mit Wake-Word: zurueck zu 'armed' (Porcupine wieder an).
+   *  Ohne: zurueck zu 'off'.
+   */
+  async endConversation(): Promise<void> {
+    if (this.state !== 'conversing') return;
+    if (this.porcupine && this.accessKey) {
+      try {
+        await this.porcupine.start();
+        console.log('[WakeWord] Konversation zu Ende — zurueck zu armed');
+        this.setState('armed');
+        return;
+      } catch (err) {
+        console.warn('[WakeWord] re-arm fehlgeschlagen:', err);
+      }
+    }
+    console.log('[WakeWord] Konversation zu Ende — Ohr aus');
+    this.setState('off');
+  }
+
+  /** Nach ARIA-Antwort (TTS fertig): naechste Aufnahme im Conversation-Window starten */
   async resume(): Promise<void> {
-    // Nichts zu tun in Phase 1
+    if (this.state !== 'conversing') return;
+    // Kurze Pause damit TTS-Audio nicht ins Mikrofon geht
+    await new Promise(resolve => setTimeout(resolve, 800));
+    if (this.state === 'conversing') {
+      console.log('[WakeWord] TTS fertig — naechste Aufnahme im Conversation-Window');
+      this.wakeCallbacks.forEach(cb => cb());
+    }
+  }
+
+  /** True solange das Ohr aktiv ist (armed ODER conversing). */
+  isActive(): boolean {
+    return this.state !== 'off';
+  }
+
+  isConversing(): boolean {
+    return this.state === 'conversing';
+  }
+
+  hasWakeWord(): boolean {
+    return !!this.porcupine;
+  }
+
+  getKeyword(): string {
+    return this.keyword;
   }
 
   // --- Callbacks ---

aria-data/config/aria.env.example

@@ -3,9 +3,12 @@
 # → localhost ist aria-core
 ARIA_CORE_WS=ws://127.0.0.1:18789
 
-# Piper TTS Stimmen
-PIPER_RAMONA=/voices/de_DE-ramona-low.onnx
-PIPER_THORSTEN=/voices/de_DE-thorsten-high.onnx
-
 # Wake-Word
 WAKE_WORD=aria
+
+# Whisper STT — wird zur Laufzeit in der Diagnostic (Sektion "Whisper") umgeschaltet
+# und in /shared/config/voice_config.json gespeichert. Der Wert hier ist nur der
+# Initial-Default beim ersten Start.
+# Optionen: tiny | base | small | medium | large-v3
+WHISPER_MODEL=medium
+WHISPER_LANGUAGE=de

bridge/Dockerfile

@@ -1,6 +1,6 @@
 # ════════════════════════════════════════════════
 #  ARIA Voice Bridge — Dockerfile
-#  Whisper STT + Piper TTS + Wake-Word
+#  Whisper STT + Wake-Word (TTS via XTTS v2 remote)
 # ════════════════════════════════════════════════
 
 FROM python:3.12-slim

bridge/modes.py

@@ -91,6 +91,39 @@ _ACTIVATION_MAP: dict[str, Mode] = {
     mode.config.activation_phrase.lower(): mode for mode in Mode
 }
 
+# ID-Mapping fuer API-Mode-Wechsel (z.B. App ModeSelector schickt 'normal')
+_ID_MAP: dict[str, Mode] = {
+    "normal": Mode.NORMAL,
+    "nicht_stoeren": Mode.DND,
+    "dnd": Mode.DND,
+    "fluester": Mode.WHISPER,
+    "whisper": Mode.WHISPER,
+    "hangar": Mode.HANGAR,
+    "gaming": Mode.GAMING,
+}
+
+
+def mode_from_id(mode_id: str) -> Optional[Mode]:
+    """ID-basiertes Mapping fuer API-Mode-Wechsel (ohne Aktivierungsphrase)."""
+    if not mode_id:
+        return None
+    return _ID_MAP.get(mode_id.strip().lower())
+
+
+# Kanonische IDs fuer Broadcasts (matchen die App-UI-IDs in ModeSelector)
+_CANONICAL_ID: dict[Mode, str] = {
+    Mode.NORMAL: "normal",
+    Mode.DND: "nicht_stoeren",
+    Mode.WHISPER: "fluester",
+    Mode.HANGAR: "hangar",
+    Mode.GAMING: "gaming",
+}
+
+
+def canonical_id(mode: Mode) -> str:
+    """Kanonische ID die App + Diagnostic + Bridge gleichermassen kennen."""
+    return _CANONICAL_ID.get(mode, mode.name.lower())
+
 
 def detect_mode_switch(text: str) -> Optional[Mode]:
     """Erkennt ob ein Text eine Modus-Umschaltung enthaelt.

bridge/requirements.txt

@@ -5,8 +5,7 @@
 # STT — Whisper (lokal, keine API noetig)
 faster-whisper
 
-# TTS — Piper (offline, deutsche Stimmen)
-piper-tts
+# TTS: laeuft remote ueber XTTS v2 auf dem Gaming-PC (keine lokalen Deps noetig)
 
 # WebSocket-Verbindung zu aria-core
 websockets

cleanup-windows.bat

@@ -0,0 +1,16 @@
+@echo off
+REM ================================================================
+REM  ARIA - Cleanup-Wrapper fuer Windows
+REM ================================================================
+REM  Ruft cleanup-windows.ps1 mit ExecutionPolicy Bypass auf.
+REM  Funktioniert auch wenn Windows .ps1 direkt nicht startet.
+REM
+REM  Nutzung:
+REM    cleanup-windows.bat stefan
+REM    cleanup-windows.bat stefan -SkipPrune
+REM
+REM  Doppelklick funktioniert NICHT (braucht Username als Param).
+REM  Per Konsole aufrufen.
+REM ================================================================
+
+powershell.exe -NoProfile -ExecutionPolicy Bypass -File "%~dp0cleanup-windows.ps1" %*

cleanup-windows.ps1

@@ -0,0 +1,184 @@
+# ================================================================
+#  ARIA - Windows / WSL2 / Docker Desktop VHDX Cleanup
+# ================================================================
+#
+#  Findet alle WSL2 + Docker Desktop ext4.vhdx Files unter
+#  C:\Users\<USER>\AppData\Local\... und kompaktiert sie via diskpart.
+#  Damit bekommst du Speicherplatz zurueck den du IN den Distros/
+#  Containern geloescht hast (z.B. nach `docker system prune`),
+#  der aber von der VHDX bisher nicht freigegeben wurde.
+#
+#  Nutzung (PowerShell als ADMIN, oder via cleanup-windows.bat):
+#    .\cleanup-windows.ps1 stefan
+#    .\cleanup-windows.ps1 -User stefan
+#    .\cleanup-windows.ps1 -User stefan -SkipPrune    # nur compacten
+#    .\cleanup-windows.ps1 -User stefan -PruneOnly    # nur prune
+#
+#  Was passiert:
+#    1. Erst (optional): docker system prune + builder prune in WSL2
+#    2. wsl --shutdown
+#    3. Alle gefundenen .vhdx Files mit diskpart compact vdisk shrinken
+#
+#  Hinweis: diskpart braucht KEINE Hyper-V Tools (anders als Optimize-VHD).
+#
+#  ASCII-only damit Windows-PowerShell 5.1 das File ohne BOM korrekt
+#  parsen kann (UTF-8-Sonderzeichen wuerden sonst als Windows-1252
+#  fehlinterpretiert).
+# ================================================================
+
+[CmdletBinding()]
+param(
+    [Parameter(Mandatory=$true, Position=0,
+               HelpMessage="Dein Windows-Benutzername (z.B. stefan)")]
+    [string]$User,
+
+    [Parameter(HelpMessage="Docker prune ueberspringen - nur compacten")]
+    [switch]$SkipPrune,
+
+    [Parameter(HelpMessage="Docker prune NUR machen, dann beenden")]
+    [switch]$PruneOnly
+)
+
+# Defensive: Process-Scope ExecutionPolicy auf Bypass - verhindert dass
+# Untersaetze (z.B. Module) blockiert werden. Harmless wenn Parent schon
+# Bypass aufgerufen hat.
+try { Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass -Force | Out-Null } catch {}
+
+# Admin-Check + Self-Elevation
+# Wenn nicht als Admin gestartet -> einmal neu starten als Admin, mit
+# ExecutionPolicy Bypass + den Original-Argumenten. User muss nur einmal
+# UAC-Prompt bestaetigen.
+$isAdmin = ([Security.Principal.WindowsPrincipal] `
+    [Security.Principal.WindowsIdentity]::GetCurrent()).IsInRole(
+    [Security.Principal.WindowsBuiltInRole]::Administrator)
+if (-not $isAdmin) {
+    Write-Host "-> Starte neu als Administrator (mit ExecutionPolicy Bypass)..." -ForegroundColor Yellow
+    $myPath = $MyInvocation.MyCommand.Path
+    $forwardArgs = @("-NoProfile", "-ExecutionPolicy", "Bypass", "-File", "`"$myPath`"")
+    if ($User)      { $forwardArgs += @("-User", $User) }
+    if ($SkipPrune) { $forwardArgs += "-SkipPrune" }
+    if ($PruneOnly) { $forwardArgs += "-PruneOnly" }
+    try {
+        Start-Process powershell.exe -Verb RunAs -ArgumentList $forwardArgs
+    } catch {
+        Write-Host "[FAIL] UAC-Elevation abgebrochen oder fehlgeschlagen." -ForegroundColor Red
+        Write-Host "       Rechtsklick auf PowerShell -> 'Als Administrator ausfuehren'" -ForegroundColor Yellow
+        exit 1
+    }
+    exit 0
+}
+
+$basePath = "C:\Users\$User\AppData\Local"
+if (-not (Test-Path $basePath)) {
+    Write-Host "[FAIL] Pfad existiert nicht: $basePath" -ForegroundColor Red
+    Write-Host "       Pruefe den Benutzernamen." -ForegroundColor Yellow
+    exit 1
+}
+
+Write-Host "================================================================" -ForegroundColor Cyan
+Write-Host "  ARIA Cleanup fuer User: $User" -ForegroundColor Cyan
+Write-Host "================================================================" -ForegroundColor Cyan
+Write-Host ""
+
+# -- 1. Docker prune (in WSL2) -----------------------------------
+if (-not $SkipPrune) {
+    Write-Host "[1/3] Docker Cleanup in WSL2..." -ForegroundColor Yellow
+    Write-Host "      docker system prune -a --volumes -f" -ForegroundColor Gray
+    Write-Host "      docker builder prune -a -f" -ForegroundColor Gray
+    Write-Host ""
+    try {
+        wsl -e bash -c "docker system prune -a --volumes -f && docker builder prune -a -f"
+        Write-Host "      [OK] fertig" -ForegroundColor Green
+    } catch {
+        Write-Host "      [WARN] Docker prune fehlgeschlagen (vielleicht laeuft Docker Desktop nicht?)" -ForegroundColor Yellow
+        Write-Host "             $_" -ForegroundColor Gray
+    }
+    Write-Host ""
+    if ($PruneOnly) {
+        Write-Host "PruneOnly gesetzt - fertig." -ForegroundColor Cyan
+        exit 0
+    }
+}
+
+# -- 2. WSL2 shutdown --------------------------------------------
+Write-Host "[2/3] WSL2 herunterfahren..." -ForegroundColor Yellow
+wsl --shutdown
+Start-Sleep -Seconds 3
+Write-Host "      [OK] fertig" -ForegroundColor Green
+Write-Host ""
+
+# -- 3. VHDX-Files finden + compacten ----------------------------
+Write-Host "[3/3] VHDX-Files suchen + compacten..." -ForegroundColor Yellow
+Write-Host ""
+
+$vhdxFiles = @()
+$vhdxFiles += Get-ChildItem -Path "$basePath\Docker" -Recurse -Filter "*.vhdx" -ErrorAction SilentlyContinue
+$vhdxFiles += Get-ChildItem -Path "$basePath\Packages" -Recurse -Filter "ext4.vhdx" -ErrorAction SilentlyContinue
+$vhdxFiles = $vhdxFiles | Sort-Object FullName -Unique
+
+if ($vhdxFiles.Count -eq 0) {
+    Write-Host "      Keine .vhdx Files gefunden." -ForegroundColor Yellow
+    exit 0
+}
+
+Write-Host "Gefundene Files (vorher):" -ForegroundColor Cyan
+foreach ($f in $vhdxFiles) {
+    $sizeGB = [math]::Round($f.Length / 1GB, 2)
+    Write-Host ("  {0,8} GB  {1}" -f $sizeGB, $f.FullName) -ForegroundColor Gray
+}
+Write-Host ""
+
+$totalBefore = ($vhdxFiles | Measure-Object Length -Sum).Sum
+
+foreach ($f in $vhdxFiles) {
+    Write-Host "-> Compact: $($f.FullName)" -ForegroundColor White
+    $sizeBefore = [math]::Round($f.Length / 1GB, 2)
+
+    # Temporaeres diskpart-Script schreiben
+    $tmp = [System.IO.Path]::GetTempFileName()
+    @"
+select vdisk file="$($f.FullName)"
+attach vdisk readonly
+compact vdisk
+detach vdisk
+exit
+"@ | Out-File -Encoding ASCII -FilePath $tmp
+
+    try {
+        $output = & diskpart /s $tmp 2>&1
+        # Datei neu lesen - Length ist gecacht
+        $newFile = Get-Item $f.FullName
+        $sizeAfter = [math]::Round($newFile.Length / 1GB, 2)
+        $saved = [math]::Round($sizeBefore - $sizeAfter, 2)
+        if ($saved -gt 0) {
+            Write-Host ("  [OK] {0} GB -> {1} GB  (gespart: {2} GB)" -f $sizeBefore, $sizeAfter, $saved) -ForegroundColor Green
+        } else {
+            Write-Host ("  --   {0} GB -> {1} GB  (nichts zu holen - File war schon optimal)" -f $sizeBefore, $sizeAfter) -ForegroundColor DarkGray
+        }
+    } catch {
+        Write-Host "  [FAIL] Fehler: $_" -ForegroundColor Red
+        Write-Host "         diskpart-Output:" -ForegroundColor DarkGray
+        $output | ForEach-Object { Write-Host "         $_" -ForegroundColor DarkGray }
+    } finally {
+        Remove-Item $tmp -ErrorAction SilentlyContinue
+    }
+    Write-Host ""
+}
+
+# -- Zusammenfassung ---------------------------------------------
+$vhdxFilesAfter = @()
+$vhdxFilesAfter += Get-ChildItem -Path "$basePath\Docker" -Recurse -Filter "*.vhdx" -ErrorAction SilentlyContinue
+$vhdxFilesAfter += Get-ChildItem -Path "$basePath\Packages" -Recurse -Filter "ext4.vhdx" -ErrorAction SilentlyContinue
+$vhdxFilesAfter = $vhdxFilesAfter | Sort-Object FullName -Unique
+$totalAfter = ($vhdxFilesAfter | Measure-Object Length -Sum).Sum
+
+$savedTotal = [math]::Round(($totalBefore - $totalAfter) / 1GB, 2)
+
+Write-Host "================================================================" -ForegroundColor Cyan
+Write-Host ("  Gesamt: {0} GB -> {1} GB  (gespart: {2} GB)" -f `
+    [math]::Round($totalBefore / 1GB, 2),
+    [math]::Round($totalAfter / 1GB, 2),
+    $savedTotal) -ForegroundColor Cyan
+Write-Host "================================================================" -ForegroundColor Cyan
+Write-Host ""
+Write-Host "Fertig. Docker Desktop / WSL2 starten ja von alleine wieder beim naechsten Aufruf." -ForegroundColor Green

cleanup.sh

@@ -0,0 +1,44 @@
+#!/bin/bash
+# ARIA Docker Cleanup
+#
+# Standard:  docker builder prune + image prune (sicher, loescht keine Volumes)
+# --full:    Volle Reinigung inkl. --volumes (Vorsicht bei ungenutzten Volumes!)
+#
+# Usage:
+#   ./cleanup.sh           # sicherer Cleanup
+#   ./cleanup.sh --full    # aggressiver Cleanup (inkl. Volumes)
+
+set -e
+
+FULL=0
+for arg in "$@"; do
+  case "$arg" in
+    --full|-f) FULL=1 ;;
+    -h|--help)
+      grep '^#' "$0" | sed 's/^# \{0,1\}//'
+      exit 0
+      ;;
+  esac
+done
+
+echo "── Docker Speicher VOR Cleanup ───────────────────"
+docker system df
+echo
+
+if [ "$FULL" = "1" ]; then
+  echo ">>> VOLLE Reinigung (inkl. ungenutzter Volumes)"
+  read -p "Wirklich? [y/N] " -n 1 -r REPLY
+  echo
+  [[ ! $REPLY =~ ^[Yy]$ ]] && { echo "Abgebrochen."; exit 0; }
+  docker system prune -a --volumes -f
+else
+  echo ">>> Sicherer Cleanup (Build-Cache + ungenutzte Images)"
+  docker builder prune -a -f
+  docker image prune -a -f
+fi
+
+echo
+echo "── Docker Speicher NACH Cleanup ──────────────────"
+docker system df
+echo
+df -h / | head -2

diagnostic/server.js

@@ -37,15 +37,76 @@ const state = {
 };
 const SESSION_KEY_FILE = "/data/active-session";
 // /data Verzeichnis sicherstellen (Volume Mount)
-try { fs.mkdirSync("/data", { recursive: true }); } catch {}
+try { fs.mkdirSync("/data", { recursive: true }); } catch (e) {
+  console.error(`[startup] /data mkdir fehlgeschlagen: ${e.message}`);
+}
+// sessionFromFile zeigt an, ob der aktive Key aus der Datei kam.
+// Wenn true, darf resolveActiveSession NICHT mehr auto-picken (Wahl respektieren).
+let sessionFromFile = false;
 let activeSessionKey = (() => {
   try {
     const saved = fs.readFileSync(SESSION_KEY_FILE, "utf-8").trim();
-    if (saved) { console.log(`[startup] Gespeicherte Session geladen: '${saved}'`); return saved; }
-  } catch {}
+    if (saved) {
+      console.log(`[startup] Gespeicherte Session geladen: '${saved}'`);
+      sessionFromFile = true;
+      return saved;
+    }
+  } catch (e) {
+    console.error(`[startup] SESSION_KEY_FILE read: ${e.code || e.message}`);
+  }
   console.log("[startup] Keine gespeicherte Session — Fallback 'main'");
   return "main";
 })();
+
+// ── Runtime-Config: /shared/config/runtime.json ─────────────
+// ENV-Werte sind Defaults; Werte aus runtime.json haben Vorrang.
+// Bridge und ggf. andere Komponenten lesen dieselbe Datei.
+const RUNTIME_CONFIG_FILE = "/shared/config/runtime.json";
+const RUNTIME_CONFIG_FIELDS = [
+  "RVS_HOST", "RVS_PORT", "RVS_TLS", "RVS_TOKEN",
+  "ARIA_AUTH_TOKEN", "WHISPER_MODEL", "WHISPER_LANGUAGE",
+];
+function readRuntimeConfig() {
+  const envDefaults = {
+    RVS_HOST, RVS_PORT, RVS_TLS, RVS_TOKEN,
+    ARIA_AUTH_TOKEN: process.env.ARIA_AUTH_TOKEN || "",
+    WHISPER_MODEL: process.env.WHISPER_MODEL || "medium",
+    WHISPER_LANGUAGE: process.env.WHISPER_LANGUAGE || "de",
+  };
+  try {
+    const raw = fs.readFileSync(RUNTIME_CONFIG_FILE, "utf-8");
+    const parsed = JSON.parse(raw);
+    return { ...envDefaults, ...parsed };
+  } catch {
+    return envDefaults;
+  }
+}
+function writeRuntimeConfig(patch) {
+  let current = {};
+  try { current = JSON.parse(fs.readFileSync(RUNTIME_CONFIG_FILE, "utf-8")); } catch {}
+  for (const key of Object.keys(patch)) {
+    if (RUNTIME_CONFIG_FIELDS.includes(key)) current[key] = patch[key];
+  }
+  fs.mkdirSync("/shared/config", { recursive: true });
+  const tmp = RUNTIME_CONFIG_FILE + ".tmp";
+  fs.writeFileSync(tmp, JSON.stringify(current, null, 2));
+  fs.renameSync(tmp, RUNTIME_CONFIG_FILE);
+}
+
+// Atomic write: temp-file + rename, laute Logs bei Fehler.
+function persistActiveSession(key) {
+  try {
+    const tmp = SESSION_KEY_FILE + ".tmp";
+    fs.writeFileSync(tmp, key);
+    fs.renameSync(tmp, SESSION_KEY_FILE);
+    sessionFromFile = true;
+    console.log(`[session] Aktive Session persistiert: '${key}'`);
+    return true;
+  } catch (e) {
+    console.error(`[session] FEHLER beim Persistieren von '${key}': ${e.message}`);
+    return false;
+  }
+}
 const logs = [];
 let gatewayWs = null;
 let rvsWs = null;
@@ -56,6 +117,12 @@ const browserClients = new Set();
 let pipelineActive = false;
 let pipelineStartTime = 0;
 
+// Nach chat:final kommen oft noch Trailing Agent-Events. Waehrend dieses
+// Fensters unterdruecken wir agent_activity-Broadcasts, damit der
+// Thinking-Indicator nicht wieder anspringt.
+let lastChatFinalAt = 0;
+const SETTLED_WINDOW_MS = 3000;
+
 function plog(message, level) {
   const elapsed = pipelineActive ? `+${Date.now() - pipelineStartTime}ms` : "";
   const entry = { ts: new Date().toISOString(), level: level || "info", source: "pipeline", message: `${elapsed ? `[${elapsed}] ` : ""}${message}` };
@@ -91,6 +158,9 @@ function pipelineEnd(ok, detail) {
   }
   plog(`━━━ Pipeline Ende ━━━`);
   pipelineActive = false;
+  // Thinking-Indikator IMMER zuruecksetzen — auch bei Timeout/Fehler/Abbruch
+  broadcast({ type: "agent_activity", activity: "idle" });
+  pendingMessageTime = 0;
 }
 
 // ── Auto-Restart bei Netzwerk-Namespace-Verlust ──────
@@ -257,8 +327,10 @@ async function connectGateway() {
       state.gateway.handshakeOk = false;
       gatewayWs = null;
       broadcastState();
+      // Stuck "ARIA denkt..." vermeiden, falls Gateway waehrend Pipeline abkackt
+      if (pipelineActive) pipelineEnd(false, `Gateway-Verbindung verloren (${code})`);
+      else broadcast({ type: "agent_activity", activity: "idle" });
       checkGatewayHealth();
-      // Auto-Reconnect nach 5s
       setTimeout(connectGateway, 5000);
     });
 
@@ -325,17 +397,22 @@ function handleGatewayMessage(msg) {
         broadcast({ type: "chat_delta", delta, payload });
       }
 
+      // Nach chat:final trickeln noch Aufraeum-Events rein — unterdruecken,
+      // damit der Thinking-Indicator nicht wieder anspringt.
+      const settled = lastChatFinalAt && (Date.now() - lastChatFinalAt) < SETTLED_WINDOW_MS;
+
       // Tool-Nutzung erkennen und broadcasten
       if (stream === "tool_use" || data.type === "tool_use") {
         const toolName = data.name || data.tool || payload.tool || "";
-        if (toolName) {
+        if (toolName && !settled) {
           broadcast({ type: "agent_activity", activity: "tool", tool: toolName, data });
           log("info", "gateway", `Tool: ${toolName}`);
         }
       }
 
-      // Genereller Activity-Heartbeat (ARIA denkt)
-      broadcast({ type: "agent_activity", activity: stream || "thinking" });
+      if (!settled) {
+        broadcast({ type: "agent_activity", activity: stream || "thinking" });
+      }
       updateAgentActivity();
       return;
     }
@@ -349,7 +426,21 @@ function handleGatewayMessage(msg) {
         const runId = payload.runId || "";
         if (runId && seenFinalRuns.has(runId)) return; // Duplikat
         if (runId) { seenFinalRuns.add(runId); setTimeout(() => seenFinalRuns.delete(runId), 60000); }
+
+        // NO_REPLY → ARIA signalisiert "nicht antworten", Pipeline beenden aber nichts zeigen
+        const trimmed = (text || "").trim().replace(/^["'`*.\s]+|["'`*.\s]+$/g, "").toUpperCase();
+        if (trimmed === "NO_REPLY" || trimmed.startsWith("NO_REPLY")) {
+          log("info", "gateway", "NO_REPLY empfangen — still verworfen");
+          lastChatFinalAt = Date.now();
+          if (pipelineActive) pipelineEnd(true, "NO_REPLY (stumm)");
+          broadcast({ type: "agent_activity", activity: "idle" });
+          pendingMessageTime = 0;
+          updateAgentActivity();
+          return;
+        }
+
         log("info", "gateway", `ANTWORT: "${text.slice(0, 200)}"`);
+        lastChatFinalAt = Date.now();
         if (pipelineActive) pipelineEnd(true, `"${text.slice(0, 120)}"`);
         broadcast({ type: "chat_final", text, payload });
         broadcast({ type: "agent_activity", activity: "idle" });
@@ -372,6 +463,7 @@ function handleGatewayMessage(msg) {
         const error = payload.error || text || "Unbekannt";
         log("error", "gateway", `Chat-Fehler: ${error}`);
         if (pipelineActive) pipelineEnd(false, error);
+        else broadcast({ type: "agent_activity", activity: "idle" });
         broadcast({ type: "chat_error", error, payload });
         return;
       }
@@ -392,7 +484,9 @@ function handleGatewayMessage(msg) {
       if (runId) { seenFinalRuns.add(runId); setTimeout(() => seenFinalRuns.delete(runId), 60000); }
       const text = extractChatText(payload) || payload.text || "";
       log("info", "gateway", `ANTWORT: "${text.slice(0, 200)}"`);
+      lastChatFinalAt = Date.now();
       if (pipelineActive) pipelineEnd(true, `"${text.slice(0, 120)}"`);
+      else broadcast({ type: "agent_activity", activity: "idle" });
       broadcast({ type: "chat_final", text, payload });
       return;
     }
@@ -400,6 +494,7 @@ function handleGatewayMessage(msg) {
       const error = payload.error || payload.message || "Unbekannt";
       log("error", "gateway", `Chat-Fehler: ${error}`);
       if (pipelineActive) pipelineEnd(false, error);
+      else broadcast({ type: "agent_activity", activity: "idle" });
       broadcast({ type: "chat_error", error, payload });
       return;
     }
@@ -527,6 +622,37 @@ function connectRVS(forcePlain) {
         }});
       } else if (msg.type === "heartbeat") {
         // ignorieren
+      } else if (msg.type === "mode") {
+        // Mode-Broadcast von der Bridge → an Browser-Clients weiterreichen
+        log("info", "rvs", `Mode-Broadcast: ${msg.payload?.mode} (${msg.payload?.name})`);
+        broadcast({ type: "mode", payload: msg.payload });
+      } else if (msg.type === "voice_ready") {
+        // XTTS-Bridge meldet Stimme fertig geladen → an Browser durchreichen
+        const v = msg.payload?.voice || "";
+        const err = msg.payload?.error;
+        const ms = msg.payload?.loadMs;
+        if (err) {
+          log("warn", "rvs", `Voice-Ready Fehler fuer "${v}": ${err}`);
+        } else {
+          log("info", "rvs", `Voice "${v || "default"}" geladen${ms ? ` in ${(ms/1000).toFixed(1)}s` : ""}`);
+        }
+        broadcast({ type: "voice_ready", payload: msg.payload });
+      } else if (msg.type === "service_status") {
+        // Gamebox-Bridges (f5tts/whisper) melden ihren Lade-Status —
+        // an Browser durchreichen fuer das Banner unten rechts
+        const svc = msg.payload?.service || "?";
+        const state = msg.payload?.state || "?";
+        const model = msg.payload?.model || "";
+        const sec = msg.payload?.loadSeconds;
+        const err = msg.payload?.error;
+        if (err) {
+          log("warn", "rvs", `service_status ${svc}: ${err}`);
+        } else if (state === "ready" && sec) {
+          log("info", "rvs", `service_status ${svc} ready (${model}, ${sec.toFixed(1)}s)`);
+        } else {
+          log("info", "rvs", `service_status ${svc} ${state}${model ? ` (${model})` : ""}`);
+        }
+        broadcast({ type: "service_status", payload: msg.payload });
       } else {
         log("debug", "rvs", `Nachricht: ${JSON.stringify(msg).slice(0, 150)}`);
       }
@@ -1049,6 +1175,53 @@ function updateAgentActivity() {
   watchdogWarned = false;
 }
 
+// ── Disk-Space Monitor ───────────────────────────────
+// Prueft regelmaessig die Host-Disk (via gemountetem /shared) und
+// broadcastet bei kritischen Schwellwerten ein disk_status Event.
+let lastDiskStatus = null;
+let currentDiskStatus = null; // Vollstaendig fuer neu verbundene Clients
+function checkDiskSpace() {
+  const { exec } = require("child_process");
+  exec("df -B1 /shared", (err, stdout) => {
+    if (err) return;
+    const lines = stdout.trim().split("\n");
+    if (lines.length < 2) return;
+    const cols = lines[1].split(/\s+/);
+    // Filesystem  Size  Used  Avail  Use%  MountedOn
+    const total = parseInt(cols[1], 10);
+    const used = parseInt(cols[2], 10);
+    const avail = parseInt(cols[3], 10);
+    if (!total) return;
+    const pct = Math.round((used / total) * 100);
+    let level = "ok";
+    if (pct >= 95) level = "critical";
+    else if (pct >= 85) level = "warn";
+    else if (pct >= 70) level = "info";
+    const status = {
+      type: "disk_status",
+      level,
+      percent: pct,
+      usedBytes: used,
+      totalBytes: total,
+      availBytes: avail,
+    };
+    currentDiskStatus = status;
+    // Nur broadcasten wenn sich was geaendert hat (oder alle 60s Refresh)
+    const key = `${level}-${pct}`;
+    if (lastDiskStatus !== key) {
+      lastDiskStatus = key;
+      broadcast(status);
+      if (level !== "ok") {
+        log(level === "critical" ? "error" : "warn", "server",
+          `Disk ${pct}% belegt (${(used/1024/1024/1024).toFixed(1)}GB von ${(total/1024/1024/1024).toFixed(1)}GB)`);
+      }
+    }
+  });
+}
+// Beim Start + alle 30s
+setTimeout(checkDiskSpace, 2000);
+setInterval(checkDiskSpace, 30000);
+
 // Watchdog prüft alle 30s ob ARIA nach einer gesendeten Nachricht reagiert
 setInterval(async () => {
   if (pendingMessageTime === 0) return; // Keine Nachricht gesendet
@@ -1109,6 +1282,45 @@ const server = http.createServer((req, res) => {
   } else if (req.url === "/api/session") {
     res.writeHead(200, { "Content-Type": "application/json" });
     res.end(JSON.stringify({ sessionKey: activeSessionKey }));
+  } else if (req.url === "/api/runtime-config" && req.method === "GET") {
+    // Zentrale Runtime-Config (ENV + Override aus /shared/config/runtime.json)
+    res.writeHead(200, { "Content-Type": "application/json" });
+    res.end(JSON.stringify(readRuntimeConfig()));
+  } else if (req.url === "/api/runtime-config" && req.method === "POST") {
+    let body = "";
+    req.on("data", chunk => { body += chunk; if (body.length > 32768) req.destroy(); });
+    req.on("end", () => {
+      try {
+        const patch = JSON.parse(body);
+        writeRuntimeConfig(patch);
+        res.writeHead(200, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: true, config: readRuntimeConfig() }));
+        log("info", "server", `Runtime-Config aktualisiert: ${Object.keys(patch).join(", ")}`);
+      } catch (err) {
+        res.writeHead(400, { "Content-Type": "application/json" });
+        res.end(JSON.stringify({ ok: false, error: err.message }));
+      }
+    });
+    return;
+  } else if (req.url === "/api/onboarding") {
+    // RVS-Credentials fuer QR-Code App-Onboarding
+    res.writeHead(200, { "Content-Type": "application/json" });
+    res.end(JSON.stringify({
+      rvsHost: RVS_HOST,
+      rvsPort: RVS_PORT,
+      rvsTLS: RVS_TLS === "true" || RVS_TLS === true,
+      rvsToken: RVS_TOKEN,
+    }));
+  } else if (req.url === "/api/cancel" && req.method === "POST") {
+    log("warn", "server", "HTTP /api/cancel — Cancel-Request (von Bridge)");
+    pendingMessageTime = 0;
+    watchdogWarned = false;
+    watchdogFixAttempted = false;
+    if (pipelineActive) pipelineEnd(false, "Vom Benutzer abgebrochen (App)");
+    else broadcast({ type: "agent_activity", activity: "idle" });
+    dockerExec("aria-core", "openclaw doctor --fix 2>/dev/null || true").catch(() => {});
+    res.writeHead(200, { "Content-Type": "application/json" });
+    res.end(JSON.stringify({ ok: true }));
   } else if (req.url.startsWith("/shared/")) {
     // Dateien aus Shared Volume ausliefern (Bilder, Uploads)
     const filePath = decodeURIComponent(req.url);
@@ -1143,6 +1355,8 @@ wss.on("connection", (ws) => {
   browserClients.add(ws);
   // Initialen State + letzte Logs senden
   ws.send(JSON.stringify({ type: "init", state, logs: logs.slice(-100) }));
+  // Letzten Disk-Status mitgeben damit der Client sofort weiss wie's um Platz steht
+  if (currentDiskStatus) ws.send(JSON.stringify(currentDiskStatus));
 
   ws.on("message", (raw) => {
     try {
@@ -1181,6 +1395,14 @@ wss.on("connection", (ws) => {
         if (ws._sshSock) ws._sshSock.write(msg.data);
       } else if (msg.action === "live_ssh_close") {
         if (ws._sshSock) { ws._sshSock.end(); ws._sshSock = null; }
+      } else if (msg.action === "send_file") {
+        // Datei von Diagnostic an Bridge via RVS senden
+        sendToRVS_raw({
+          type: "file",
+          payload: { name: msg.name, type: msg.type, size: msg.size, base64: msg.base64 },
+          timestamp: Date.now(),
+        });
+        log("info", "server", `Datei gesendet: ${msg.name} (${msg.type})`);
       } else if (msg.action === "cancel_request") {
         // Laufende Anfrage abbrechen — doctor --fix beendet stuck runs
         log("warn", "server", "Anfrage abgebrochen — fuehre doctor --fix aus");
@@ -1197,31 +1419,57 @@ wss.on("connection", (ws) => {
       } else if (msg.action === "xtts_list_voices") {
         // Frische Verbindung die auf Antwort wartet
         sendToRVS_withResponse("xtts_list_voices", {}, "xtts_voices_list", ws);
+      } else if (msg.action === "xtts_delete_voice") {
+        // Weiterleiten an XTTS-Bridge, die antwortet mit neuer Liste
+        sendToRVS_raw({ type: "xtts_delete_voice", payload: { name: msg.name }, timestamp: Date.now() });
+        log("info", "server", `Voice-Delete '${msg.name}' an XTTS-Bridge gesendet`);
+      } else if (msg.action === "set_mode") {
+        // Mode-Wechsel → Bridge bearbeitet und broadcastet an alle Clients
+        sendToRVS_raw({ type: "mode", payload: { mode: msg.mode }, timestamp: Date.now() });
+        log("info", "server", `Mode-Wechsel angefordert: ${msg.mode}`);
       } else if (msg.action === "get_voice_config") {
         handleGetVoiceConfig(ws);
       } else if (msg.action === "send_voice_config") {
         // Stimmen-Config persistent speichern + an Bridge via RVS senden
+        let existing = {};
+        try { existing = JSON.parse(fs.readFileSync("/shared/config/voice_config.json", "utf-8")); } catch {}
         const voiceConfig = {
-          defaultVoice: msg.defaultVoice || "ramona",
-          highlightVoice: msg.highlightVoice || "thorsten",
+          ...existing,
           ttsEnabled: msg.ttsEnabled !== false,
-          ttsEngine: msg.ttsEngine || "piper",
           xttsVoice: msg.xttsVoice || "",
-          speedRamona: msg.speedRamona || 1.0,
-          speedThorsten: msg.speedThorsten || 1.0,
         };
+        if (msg.whisperModel !== undefined) voiceConfig.whisperModel = msg.whisperModel;
+        // F5-TTS Tuning-Felder — leere Strings entfernen damit der Default greift
+        if (msg.f5ttsModel !== undefined) {
+          if (msg.f5ttsModel) voiceConfig.f5ttsModel = msg.f5ttsModel;
+          else delete voiceConfig.f5ttsModel;
+        }
+        if (msg.f5ttsCkptFile !== undefined) {
+          if (msg.f5ttsCkptFile) voiceConfig.f5ttsCkptFile = msg.f5ttsCkptFile;
+          else delete voiceConfig.f5ttsCkptFile;
+        }
+        if (msg.f5ttsVocabFile !== undefined) {
+          if (msg.f5ttsVocabFile) voiceConfig.f5ttsVocabFile = msg.f5ttsVocabFile;
+          else delete voiceConfig.f5ttsVocabFile;
+        }
+        if (msg.f5ttsCfgStrength !== undefined && !isNaN(msg.f5ttsCfgStrength)) {
+          voiceConfig.f5ttsCfgStrength = msg.f5ttsCfgStrength;
+        }
+        if (msg.f5ttsNfeStep !== undefined && !isNaN(msg.f5ttsNfeStep)) {
+          voiceConfig.f5ttsNfeStep = msg.f5ttsNfeStep;
+        }
         try {
           fs.mkdirSync("/shared/config", { recursive: true });
           fs.writeFileSync("/shared/config/voice_config.json", JSON.stringify(voiceConfig, null, 2));
         } catch {}
         sendToRVS_raw({ type: "config", payload: voiceConfig, timestamp: Date.now() });
-        log("info", "server", `Voice-Config gespeichert+gesendet: default=${voiceConfig.defaultVoice}, highlight=${voiceConfig.highlightVoice}, tts=${voiceConfig.ttsEnabled}`);
+        log("info", "server", `Voice-Config gespeichert: xttsVoice=${voiceConfig.xttsVoice || "default"}, whisper=${voiceConfig.whisperModel || "-"}`);
       } else if (msg.action === "get_triggers") {
         handleGetTriggers(ws);
       } else if (msg.action === "save_triggers") {
         handleSaveTriggers(ws, msg.triggers || []);
       } else if (msg.action === "test_tts") {
-        handleTestTTS(ws, msg.voice || "ramona", msg.text || "Test");
+        handleTestTTS(ws, msg.text || "Test");
       } else if (msg.action === "check_tts") {
         handleCheckTTS(ws);
       } else if (msg.action === "check_desktop") {
@@ -1232,6 +1480,8 @@ wss.on("connection", (ws) => {
         handleListSessions(ws);
       } else if (msg.action === "read_session") {
         handleReadSession(ws, msg.sessionPath);
+      } else if (msg.action === "export_session") {
+        handleExportSession(ws, msg.sessionPath, msg.sessionKey);
       } else if (msg.action === "delete_session") {
         handleDeleteSession(ws, msg.sessionPath);
       } else if (msg.action === "set_active_session") {
@@ -1359,32 +1609,21 @@ function handleGetVoiceConfig(clientWs) {
       const config = JSON.parse(fs.readFileSync(configPath, "utf-8"));
       clientWs.send(JSON.stringify({ type: "voice_config", ...config }));
     } else {
-      clientWs.send(JSON.stringify({ type: "voice_config", defaultVoice: "ramona", highlightVoice: "thorsten", ttsEnabled: true }));
+      clientWs.send(JSON.stringify({ type: "voice_config", ttsEnabled: true, xttsVoice: "" }));
     }
   } catch (err) {
-    clientWs.send(JSON.stringify({ type: "voice_config", defaultVoice: "ramona", highlightVoice: "thorsten", ttsEnabled: true }));
+    clientWs.send(JSON.stringify({ type: "voice_config", ttsEnabled: true, xttsVoice: "" }));
   }
 }
 
-// ── Highlight-Trigger ─────────────────────────────────
-
+// ── Highlight-Trigger (legacy UI — wird nicht mehr ausgewertet seit Piper raus) ─
 const TRIGGERS_FILE = "/shared/config/highlight_triggers.json";
 
 async function handleGetTriggers(clientWs) {
   try {
-    // Zuerst aus Shared Volume lesen, dann Fallback auf Bridge-Defaults
-    let triggers;
-    if (fs.existsSync(TRIGGERS_FILE)) {
-      triggers = JSON.parse(fs.readFileSync(TRIGGERS_FILE, "utf-8"));
-    } else {
-      // Defaults aus der Bridge lesen
-      const result = await dockerExec("aria-bridge", `python3 -c "
-import sys; sys.path.insert(0,'/app')
-from aria_bridge import EPIC_TRIGGERS
-print('\\n'.join(EPIC_TRIGGERS))
-"`);
-      triggers = result.trim().split("\n").filter(t => t);
-    }
+    const triggers = fs.existsSync(TRIGGERS_FILE)
+      ? JSON.parse(fs.readFileSync(TRIGGERS_FILE, "utf-8"))
+      : [];
     clientWs.send(JSON.stringify({ type: "trigger_list", triggers }));
   } catch (err) {
     clientWs.send(JSON.stringify({ type: "trigger_list", triggers: [], error: err.message }));
@@ -1393,74 +1632,40 @@ print('\\n'.join(EPIC_TRIGGERS))
 
 async function handleSaveTriggers(clientWs, triggers) {
   try {
-    // In Shared Volume speichern (fuer Bridge lesbar)
     fs.mkdirSync("/shared/config", { recursive: true });
     fs.writeFileSync(TRIGGERS_FILE, JSON.stringify(triggers, null, 2));
     log("info", "server", `${triggers.length} Highlight-Trigger gespeichert`);
-    // Bridge informieren (wird beim naechsten Start geladen)
     clientWs.send(JSON.stringify({ type: "trigger_list", triggers }));
   } catch (err) {
     log("error", "server", `Trigger speichern fehlgeschlagen: ${err.message}`);
   }
 }
 
-// ── TTS Diagnose ──────────────────────────────────────
-async function handleTestTTS(clientWs, voice, text) {
+// ── TTS Diagnose (XTTS) ───────────────────────────────
+async function handleTestTTS(clientWs, text) {
   try {
-    log("info", "server", `TTS-Test: ${voice} — "${text}"`);
-    const result = await dockerExec("aria-bridge", `python3 -c "
-import time, sys
-sys.path.insert(0, '/app')
-from piper import PiperVoice
-import wave, tempfile, os
-voices = {'ramona': '/voices/de_DE-ramona-low.onnx', 'thorsten': '/voices/de_DE-thorsten-high.onnx'}
-path = voices.get('${voice}')
-if not path or not os.path.exists(path):
-    print('FEHLER: Stimme nicht gefunden')
-    sys.exit(1)
-v = PiperVoice.load(path)
-start = time.time()
-tmp = tempfile.NamedTemporaryFile(suffix='.wav', delete=False)
-with wave.open(tmp.name, 'wb') as wf:
-    wf.setnchannels(1)
-    wf.setsampwidth(2)
-    wf.setframerate(v.config.sample_rate)
-    v.synthesize('${text.replace(/'/g, "\\'")}', wf)
-size = os.path.getsize(tmp.name)
-dur = int((time.time() - start) * 1000)
-os.unlink(tmp.name)
-print(f'OK:{dur}:{size}')
-"`);
-    const parts = result.trim().split(":");
-    if (parts[0] === "OK") {
-      clientWs.send(JSON.stringify({ type: "tts_result", ok: true, voice, duration: parts[1], size: parts[2] }));
-    } else {
-      clientWs.send(JSON.stringify({ type: "tts_result", ok: false, voice, error: result.trim() }));
-    }
+    log("info", "server", `TTS-Test via XTTS: "${text}"`);
+    // Via RVS an die XTTS-Bridge: xtts_request mit Test-Text
+    const requestId = crypto.randomUUID();
+    sendToRVS_raw({
+      type: "xtts_request",
+      payload: { text, language: "de", requestId, voice: "" },
+      timestamp: Date.now(),
+    });
+    clientWs.send(JSON.stringify({ type: "tts_result", ok: true, duration: "pending", size: "?" }));
   } catch (err) {
-    clientWs.send(JSON.stringify({ type: "tts_result", ok: false, voice, error: err.message }));
+    clientWs.send(JSON.stringify({ type: "tts_result", ok: false, error: err.message }));
   }
 }
 
 async function handleCheckTTS(clientWs) {
   try {
-    const result = await dockerExec("aria-bridge", `python3 -c "
-import os, json
-voices = {}
-for name, path in [('ramona', '/voices/de_DE-ramona-low.onnx'), ('thorsten', '/voices/de_DE-thorsten-high.onnx')]:
-    voices[name] = os.path.exists(path)
-print(json.dumps(voices))
-"`);
-    const voices = JSON.parse(result.trim());
-    const available = Object.entries(voices).filter(([,v]) => v).map(([k]) => k);
-    const missing = Object.entries(voices).filter(([,v]) => !v).map(([k]) => k);
+    // XTTS-Status ueber RVS abfragen (xtts_list_voices)
+    sendToRVS_raw({ type: "xtts_list_voices", payload: {}, timestamp: Date.now() });
     clientWs.send(JSON.stringify({
       type: "tts_status",
-      ok: missing.length === 0,
-      voices: available,
-      defaultVoice: "ramona",
-      highlightVoice: "thorsten",
-      error: missing.length > 0 ? `Fehlend: ${missing.join(", ")}` : null,
+      ok: true,
+      error: null,
     }));
   } catch (err) {
     clientWs.send(JSON.stringify({ type: "tts_status", ok: false, error: err.message }));
@@ -1503,17 +1708,17 @@ async function handleListSessions(clientWs) {
   try {
     log("info", "server", "Lade Sessions aus aria-core...");
 
-    // sessions.json als Index lesen + Datei-Details holen
+    // sessions.json als Index lesen + Datei-Details holen (inkl. .reset.* Archive)
     const raw = await dockerExec("aria-core", `
       cat ${SESSIONS_DIR}/sessions.json 2>/dev/null || echo '{}' &&
       echo '===FILE_DETAILS===' &&
-      for f in ${SESSIONS_DIR}/*.jsonl; do
+      for f in ${SESSIONS_DIR}/*.jsonl ${SESSIONS_DIR}/*.jsonl.reset.*; do
         [ -f "$f" ] || continue
         name=$(basename "$f")
-        lines=$(wc -l < "$f" 2>/dev/null || echo 0)
+        msgs=$(grep -cE '"role":"(user|assistant)"' "$f" 2>/dev/null || echo 0)
         size=$(du -h "$f" 2>/dev/null | cut -f1)
         modified=$(stat -c '%Y' "$f" 2>/dev/null || echo 0)
-        echo "FILE:$name|LINES:$lines|SIZE:$size|MODIFIED:$modified"
+        echo "FILE:$name|LINES:$msgs|SIZE:$size|MODIFIED:$modified"
       done
     `.trim());
 
@@ -1568,8 +1773,29 @@ async function handleListSessions(clientWs) {
       delete fileDetails[filename];
     }
 
-    // Dateien die nicht im Index stehen (Waisen / Reset-Files)
+    // Dateien die nicht im Index stehen (Waisen ODER Reset-Archive)
     for (const [filename, details] of Object.entries(fileDetails)) {
+      // .jsonl.reset.<ISO-Timestamp>Z → archivierte Session (OpenClaw-Reset)
+      // Format: 528f4d70-...jsonl.reset.2026-04-18T09-49-44.814Z
+      const resetMatch = filename.match(/^([a-f0-9-]+)\.jsonl\.reset\.(.+Z)$/);
+      if (resetMatch) {
+        const id = resetMatch[1];
+        // Timestamp ISO-8601 parsen: 2026-04-18T09-49-44.814Z → 2026-04-18T09:49:44.814Z
+        const tsStr = resetMatch[2].replace(/T(\d{2})-(\d{2})-(\d{2})/, "T$1:$2:$3");
+        const resetAt = Math.floor(new Date(tsStr).getTime() / 1000) || parseInt(details.MODIFIED) || 0;
+        sessions.push({
+          path: `${SESSIONS_DIR}/${filename}`,
+          sessionKey: id.slice(0, 8) + "… (archiv)",
+          sessionId: id,
+          lines: parseInt(details.LINES) || 0,
+          size: details.SIZE || "?",
+          modified: resetAt,
+          archived: true,
+          resetAt,
+        });
+        continue;
+      }
+      // Echte Waisen (UUID.jsonl ohne Eintrag in sessions.json)
       const id = filename.replace(".jsonl", "");
       sessions.push({
         path: `${SESSIONS_DIR}/${filename}`,
@@ -1614,6 +1840,68 @@ async function handleReadSession(clientWs, sessionPath) {
   }
 }
 
+async function handleExportSession(clientWs, sessionPath, sessionKey) {
+  if (!sessionPath || sessionPath.includes("..") || !sessionPath.startsWith(SESSIONS_DIR)) {
+    clientWs.send(JSON.stringify({ type: "session_export", ok: false, error: "Ungueltiger Pfad" }));
+    return;
+  }
+  try {
+    const safePath = sessionPath.replace(/'/g, "");
+    const raw = await dockerExec("aria-core", `cat '${safePath}'`);
+    const lines = raw.split("\n").filter(l => l.trim());
+
+    const blocks = [];
+    for (const line of lines) {
+      let obj;
+      try { obj = JSON.parse(line); } catch { continue; }
+      if (obj.type !== "message" || !obj.message) continue;
+      const role = obj.message.role;
+      if (role !== "user" && role !== "assistant") continue;
+
+      let text = "";
+      const content = obj.message.content;
+      if (typeof content === "string") text = content;
+      else if (Array.isArray(content)) text = content.filter(c => c.type === "text").map(c => c.text || "").join("\n");
+      if (!text) continue;
+
+      if (role === "user") {
+        text = text.replace(/^Sender \(untrusted metadata\):[\s\S]*?```[\s\S]*?```\s*\n*/m, "").trim();
+        text = text.replace(/^\[.*?\]\s*/, "").trim();
+      } else {
+        text = text.replace(/^\[\[reply_to_\w+\]\]\s*/g, "").trim();
+      }
+      if (!text) continue;
+
+      const ts = obj.message.timestamp || obj.timestamp || 0;
+      const when = ts ? new Date(ts).toISOString().replace("T", " ").slice(0, 19) : "";
+      const heading = role === "user" ? "## 🧑 User" : "## 🤖 ARIA";
+      blocks.push(`${heading}${when ? ` — ${when}` : ""}\n\n${text}`);
+    }
+
+    const exportedAt = new Date().toISOString().replace("T", " ").slice(0, 19);
+    const title = sessionKey || sessionPath.split("/").pop().replace(".jsonl", "");
+    const markdown = [
+      `# Session: ${title}`,
+      ``,
+      `Exportiert: ${exportedAt}  `,
+      `Quelle: ${sessionPath}`,
+      ``,
+      `---`,
+      ``,
+      blocks.join("\n\n---\n\n"),
+      ``,
+    ].join("\n");
+
+    const safeKey = (sessionKey || "session").replace(/[^a-zA-Z0-9_-]/g, "_");
+    const filename = `${exportedAt.slice(0, 10)}_${safeKey}.md`;
+    clientWs.send(JSON.stringify({ type: "session_export", ok: true, filename, markdown }));
+    log("info", "server", `Session exportiert: ${filename} (${blocks.length} Nachrichten)`);
+  } catch (err) {
+    log("error", "server", `Session-Export fehlgeschlagen: ${err.message}`);
+    clientWs.send(JSON.stringify({ type: "session_export", ok: false, error: err.message }));
+  }
+}
+
 async function handleDeleteSession(clientWs, sessionPath) {
   if (!sessionPath || sessionPath.includes("..") || !sessionPath.startsWith(SESSIONS_DIR)) {
     clientWs.send(JSON.stringify({ type: "session_deleted", ok: false, error: "Ungueltiger Pfad" }));
@@ -1654,13 +1942,11 @@ async function handleDeleteSession(clientWs, sessionPath) {
 }
 
 // ── Session-Aufloesung: letzte aktive Session finden ────
+// Wird nach Gateway-(Re-)Connect aufgerufen. Darf die explizit gewaehlte
+// Session NIE ueberschreiben — nur beim absoluten Erststart auto-picken.
 async function resolveActiveSession() {
-  // Nur bei Fallback-Key "main" automatisch aufloesen — gespeicherte Wahl respektieren
-  const hasSavedSession = (() => {
-    try { return !!fs.readFileSync(SESSION_KEY_FILE, "utf-8").trim(); } catch { return false; }
-  })();
-  if (hasSavedSession && activeSessionKey !== "main") {
-    log("info", "server", `Gespeicherte Session '${activeSessionKey}' wird beibehalten`);
+  if (sessionFromFile) {
+    log("info", "server", `Session '${activeSessionKey}' aus /data — keine Auto-Wahl`);
     return;
   }
 
@@ -1679,10 +1965,19 @@ async function resolveActiveSession() {
   const keys = entries.map(e => (e.key || e.sessionKey || e.name || "?").replace(/^agent:main:/, ""));
   log("info", "server", `Verfuegbare Sessions: [${keys.join(", ")}]`);
 
-  // Neueste Session nehmen
+  // Neueste Session nehmen — aber user-definierte bevorzugen.
+  // aria-bridge / aria-diagnostic werden von den Services auto-erstellt;
+  // bei erstem Start soll lieber eine "echte" Session gewaehlt werden,
+  // falls vorhanden.
+  const AUTO_KEYS = new Set(["aria-bridge", "aria-diagnostic"]);
+  const normalise = (e) => (e.key || e.sessionKey || e.name || "").replace(/^agent:main:/, "");
+
+  const userEntries = entries.filter(e => !AUTO_KEYS.has(normalise(e)));
+  const pool = userEntries.length > 0 ? userEntries : entries;
+
   let newest = null;
   let newestTime = 0;
-  for (const entry of entries) {
+  for (const entry of pool) {
     const t = entry.updatedAt || entry.createdAt || 0;
     if (t >= newestTime) {
       newestTime = t;
@@ -1691,12 +1986,11 @@ async function resolveActiveSession() {
   }
 
   if (newest) {
-    const rawKey = newest.key || newest.sessionKey || newest.name || "";
-    const key = rawKey.replace(/^agent:main:/, "");
+    const key = normalise(newest);
     if (key) {
       activeSessionKey = key;
-      try { fs.writeFileSync(SESSION_KEY_FILE, activeSessionKey); } catch {}
-      log("info", "server", `Aktive Session auf neueste gewechselt: '${activeSessionKey}'`);
+      persistActiveSession(activeSessionKey);
+      log("info", "server", `Auto-Wahl Erststart: '${activeSessionKey}'`);
       for (const c of browserClients) {
         c.send(JSON.stringify({ type: "active_session", sessionKey: activeSessionKey }));
       }
@@ -1785,8 +2079,11 @@ function handleSetActiveSession(clientWs, sessionKey) {
     return;
   }
   activeSessionKey = sessionKey;
-  try { fs.writeFileSync(SESSION_KEY_FILE, activeSessionKey); } catch {}
-  log("info", "server", `Aktive Session: ${activeSessionKey}`);
+  const ok = persistActiveSession(activeSessionKey);
+  log("info", "server", `Aktive Session: ${activeSessionKey}${ok ? "" : " (WARN: nicht persistiert!)"}`);
+  if (!ok) {
+    clientWs.send(JSON.stringify({ type: "active_session", ok: false, sessionKey: activeSessionKey, error: "Persistierung fehlgeschlagen — /data Volume pruefen" }));
+  }
   // Allen Clients mitteilen
   for (const c of browserClients) {
     c.send(JSON.stringify({ type: "active_session", sessionKey: activeSessionKey }));
@@ -1802,7 +2099,7 @@ async function handleCreateSession(clientWs, sessionName) {
   try {
     // Session wird automatisch erstellt wenn man die erste Nachricht sendet
     activeSessionKey = sessionName;
-    try { fs.writeFileSync(SESSION_KEY_FILE, activeSessionKey); } catch {}
+    persistActiveSession(activeSessionKey);
     log("info", "server", `Neue Session erstellt und aktiviert: ${sessionName}`);
     // Allen Clients mitteilen
     for (const c of browserClients) {

docker-compose.yml

@@ -72,7 +72,6 @@ services:
       - aria
     network_mode: "service:aria"                   # Teilt Netzwerk mit aria-core → localhost:18789
     volumes:
-      - ./aria-data/voices:/voices:ro              # TTS Stimmen
       - ./aria-data/config/aria.env:/config/aria.env
       - aria-shared:/shared                        # Shared Volume fuer Datei-Austausch (Bridge <> Core)
       # Audio-Zugriff

get-voices.sh

@@ -1,32 +0,0 @@
-#!/bin/bash
-# ════════════════════════════════════════════════
-#  ARIA — Piper Stimmen herunterladen
-#  Ramona (Alltag) + Thorsten (epische Momente)
-# ════════════════════════════════════════════════
-
-set -e
-
-VOICES_DIR="aria-data/voices"
-BASE_URL="https://huggingface.co/rhasspy/piper-voices/resolve/main/de/de_DE"
-
-mkdir -p "$VOICES_DIR"
-cd "$VOICES_DIR"
-
-echo "Lade ARIA Stimmen..."
-echo ""
-
-echo "[1/4] Ramona (Modell)..."
-wget -q --show-progress "$BASE_URL/ramona/low/de_DE-ramona-low.onnx"
-
-echo "[2/4] Ramona (Config)..."
-wget -q --show-progress "$BASE_URL/ramona/low/de_DE-ramona-low.onnx.json"
-
-echo "[3/4] Thorsten (Modell)..."
-wget -q --show-progress "$BASE_URL/thorsten/high/de_DE-thorsten-high.onnx"
-
-echo "[4/4] Thorsten (Config)..."
-wget -q --show-progress "$BASE_URL/thorsten/high/de_DE-thorsten-high.onnx.json"
-
-echo ""
-echo "Stimmen geladen!"
-ls -lh *.onnx

issue.md

@@ -5,10 +5,10 @@
 - [x] Bildupload funktioniert (Shared Volume /shared/uploads/)
 - [x] Sprachnachrichten werden als Text angezeigt (STT → Chat-Bubble)
 - [x] Cache leeren + Auto-Download von Anhaengen
-- [x] ARIA liest Nachrichten vor (TTS via Piper)
-- [x] Autoscroll zur letzten Nachricht
+- [x] ARIA liest Nachrichten vor (TTS via Piper, später ersetzt)
+- [x] Autoscroll zur letzten Nachricht (inverted FlatList)
 - [x] Bilder im Chat groesser + Vollbild-Vorschau
-- [x] Ohr-Button Absturz gefixt (LiveAudioStream entfernt, Phase 1 Placeholder)
+- [x] Ohr-Button → Gespraechsmodus (Auto-Aufnahme nach ARIA-Antwort)
 - [x] Play-Button in ARIA-Nachrichten fuer Sprachwiedergabe
 - [x] Chat-Suche in der App (Lupe in Statusleiste)
 - [x] Watchdog mit Container-Restart (2min Warnung → 5min doctor --fix → 8min Restart)
@@ -16,38 +16,81 @@
 - [x] Nachrichten Backup on-the-fly (/shared/config/chat_backup.jsonl)
 - [x] Grosse Nachrichten satzweise aufteilen fuer TTS
 - [x] RVS Nachrichten vom Smartphone gehen durch
-- [x] Stimmen-Einstellungen (Ramona/Thorsten, Speed pro Stimme)
+- [x] Stimmen-Einstellungen (Ramona/Thorsten, Speed pro Stimme — durch XTTS/F5-TTS ersetzt)
 - [x] Highlight-Trigger konfigurierbar in Diagnostic
-- [x] XTTS v2 Integration (Gaming-PC, GPU, Voice Cloning)
+- [x] XTTS v2 Integration (Gaming-PC, GPU, Voice Cloning) — durch F5-TTS ersetzt
 - [x] XTTS Voice Cloning (Audio-Samples hochladen, eigene Stimme)
-- [x] TTS Engine waehlbar (Piper/XTTS) in Diagnostic + App
+- [x] TTS Engine waehlbar (Piper/XTTS) — Piper raus, XTTS raus, jetzt nur F5-TTS
 - [x] Auto-Update System (APK via RVS WebSocket)
+- [x] Auto-Update: APK-Installation via FileProvider
+- [x] Auto-Update: "Auf Updates pruefen" Button in App-Einstellungen
 - [x] Audio-Queue (sequentielle Wiedergabe, kein Ueberlappen)
+- [x] Textnachrichten werden von ARIA beantwortet (Bridge chat handler fix)
+- [x] Mehrere Anhaenge + Text vor dem Senden (Pending-Vorschau)
+- [x] Paste-Support fuer Bilder in Diagnostic Chat
+- [x] Markdown-Bereinigung fuer TTS (fett, kursiv, code, links, etc.)
+- [x] SSH Volume read-write fuer Proxy (kein -F Workaround mehr)
+- [x] Diagnostic: Sessions als Markdown exportieren (Download-Button)
+- [x] Speech Gate: Aufnahme wird verworfen wenn keine Sprache erkannt
+- [x] Session-Persistenz: Gewaehlte Session bleibt ueber Container-Restarts erhalten
+- [x] Diagnostic: "ARIA denkt..." bleibt nicht mehr stehen
+- [x] App: "ARIA denkt..." Indicator + Abbrechen-Button (Bridge spiegelt agent_activity via RVS)
+- [x] Whisper STT: Model-Auswahl in Diagnostic (tiny/base/small/medium/large-v3), Hot-Reload
+- [x] App: Audio-Aufnahme explizit 16kHz mono (spart Resample, optimal fuer Whisper)
+- [x] Streaming TTS: PCM-Stream → AudioTrack MODE_STREAM, keine WAV-Gaps
+- [x] Piper komplett entfernt
+- [x] Gespraechsmodus: Speech-Gate strenger (-28dB / 500ms)
+- [x] Diagnostic: Archivierte Session-Versionen (.reset.*) angezeigt + exportierbar
+- [x] tools/export-jsonl-to-md.js: CLI-Konverter fuer Session-JSONL zu Markdown
+- [x] NO_REPLY-Filter in Bridge + Diagnostic
+- [x] Audio-Ducking + Exklusiv-Focus (Kotlin AudioFocusModule)
+- [x] TTS-Cleanup serverseitig: Code-Bloecke raus, Einheiten ausgeschrieben, Abkuerzungen buchstabiert, URLs zu "ein Link"
+- [x] QR-Code Onboarding: Diagnostic generiert QR, App scannt
+- [x] TTS-Audio-Cache im Filesystem: WAV pro messageId, Play-Button spielt aus Cache
+- [x] Config via Diagnostic: RVS-Credentials + Auth-Token persistiert in /shared/config/runtime.json
+- [x] Disk-Voll Banner in Diagnostic: rotes Overlay + copy-baren Cleanup-Befehlen (safe + aggressiv)
+- [x] cleanup.sh: kombinierter Docker-Aufraeum-Befehl (safe / --full)
+- [x] Streaming TTS Pre-Roll: AudioTrack play() startet erst wenn 2.5s gepuffert sind
+- [x] Streaming TTS Stop-Race: Writer wartet auf playbackHeadPosition vor stop()/release() — keine abgeschnittenen Saetze mehr
+- [x] Leading-Silence (200ms) am Stream-Anfang — AudioTrack faehrt sauber an
+- [x] Pre-Roll-Buffer einstellbar in App-Settings (1.0-6.0s, Default 3.5s)
+- [x] Fade-In auf erstem PCM-Chunk (120ms) — versteckt XTTS/F5-TTS Warmup-Glitches
+- [x] Decimal-zu-Worte fuer TTS (0.1 → null komma eins, mit IP-Schutz-Lookahead)
+- [x] Generic Acronym-Buchstabieren (XTTS → X T T S, USB → U S B, ueber expliziter Liste)
+- [x] Voice-Auswahl funktioniert wieder: speaker_wav als Basename statt Pfad fuer daswer123 local-Mode
+- [x] Diagnostic-Voice-Wechsel resettet alle App-lokalen Voice-Overrides via type "config"
+- [x] voice_preload/voice_ready: Stille Mini-Render bei Voice-Wechsel + Toast/Status "bereit"
+- [x] Whisper STT auf die Gamebox ausgelagert (faster-whisper CUDA, float16) — neuer aria-whisper-bridge Container
+- [x] aria-bridge: STT primaer remote (Gamebox), Fallback lokal nach 45s Timeout
+- [x] Whisper-Modell hot-swap auf Gamebox via config-Broadcast aus Diagnostic
+- [x] **F5-TTS ersetzt XTTS komplett** — neuer aria-f5tts-bridge Container, Voice Cloning, satzweises Streaming
+- [x] Voice-Upload mit Whisper-Auto-Transkription — User muss keinen Referenz-Text eintippen
+- [x] Audio-Pause statt Ducking: Spotify/YouTube pausieren komplett waehrend TTS (TRANSIENT statt MAY_DUCK)
+- [x] AudioFocus.release wartet auf echten Playback-Ende — kein Volume-Hochfahren mehr mid-Antwort
+- [x] VAD-Stille einstellbar in App-Settings (1.0-8.0s, Default 2.8s)
+- [x] MAX_RECORDING auf 120s — laengere Erklaerungen moeglich
+- [x] App: Audioausgabe hoert nicht mehr mitten im Satz auf (playbackHeadPosition wait + Stop-Race fix)
 
 ## Offen
 
-### Bugs (Prioritaet)
-- [ ] Session-Persistenz: Bei Container-Restart wird immer aria-bridge geladen statt die zuletzt gewaehlte Session. Wird nicht persistent gespeichert.
-- [ ] App: Textnachrichten, Bilder und Anhaenge werden von ARIA nicht beantwortet — nur Sprachnachrichten funktionieren.
-- [ ] App: Audioausgabe hoert ab und zu einfach auf (mitten im Satz oder zwischen Chunks)
-- [ ] Auto-Update: APK-Installation schlaegt fehl (file:// URI exposed beyond app — braucht FileProvider fuer content:// URI)
-- [ ] Auto-Update: "Auf Updates pruefen" Button in App-Einstellungen
-- [ ] App: Kein Auto-Scroll zur letzten Nachricht beim App-Start (soll direkt springen, nicht animiert scrollen)
-- [ ] App: Bei neuen Nachrichten soll automatisch zur letzten Nachricht gescrollt werden
+### Bugs
+- [ ] NO_REPLY wird als "NO" im Chat angezeigt — sollte still verworfen werden (Token nicht gesaeubert)
 
 ### App Features
-- [ ] App: Zu Anhaengen noch Text/Sprache hinzufuegen koennen (z.B. Bild senden + "Was siehst du?")
-- [ ] Wake Word on-device (Porcupine "ARIA" Keyword, Phase 2)
+- [ ] Wake Word on-device (Porcupine "ARIA" Keyword, Phase 2 — passives Lauschen)
 - [ ] Chat-History zuverlaessiger laden (AsyncStorage Race Condition)
 - [ ] Background Audio Service (TTS auch bei minimierter App)
 
 ### TTS / Audio
-- [ ] XTTS Audio-Streaming verbessern (minimales Stottern bei Chunk-Uebergaengen)
-- [ ] Audio-Normalisierung (Lautstaerke zwischen Chunks angleichen)
-- [ ] Piper Voices Download ueber Diagnostic (neue Sprachen/Stimmen)
+- [ ] Audio-Normalisierung (Lautstaerke zwischen Saetzen/Chunks angleichen)
+- [ ] F5-TTS: Streaming-Inferenz testen (nativ statt satzweise) wenn ein passendes Backend kommt
+- [ ] F5-TTS: Optional Deepspeed-Beschleunigung pruefen
 
 ### Architektur
 - [ ] Bilder: Claude Vision direkt nutzen (aktuell nur Dateipfad an ARIA)
 - [ ] Auto-Compacting und Memory/Brain Verwaltung (SQLite?)
 - [ ] Diagnostic: System-Info Tab (Container-Status, Disk, RAM, CPU)
-- [ ] RVS Zombie-Connections endgueltig loesen (WebRTC statt WebSocket?)
+- [ ] RVS Zombie-Connections endgueltig loesen
+- [ ] Alle .env-Variablen ueber Diagnostic konfigurierbar machen (Fallback .env bleibt fuer initialen Bootstrap)
+- [ ] Gamebox: kleine Web-Oberflaeche fuer Credentials/Server-Config oder zentral aus Diagnostic per RVS push
+- [ ] Root-Cause OpenClaw Session-Reset: Herausfinden warum Sessions beim ersten chat.send nach Container-Restart verworfen werden

release.sh

@@ -76,8 +76,11 @@ echo -e "  ${GREEN}✓${NC} SettingsScreen → Version $VERSION"
 echo ""
 
 # ── APK bauen ─────────────────────────────────
-echo -e "${GREEN}[2/5] APK bauen...${NC}"
+echo -e "${GREEN}[2/5] APK bauen (Cache leeren + Build)...${NC}"
 cd android
+# Metro + Gradle Cache leeren damit neue Version sauber eingebettet wird
+rm -rf node_modules/.cache 2>/dev/null
+cd android && ./gradlew clean 2>/dev/null; cd ..
 ./build.sh release
 cd ..
 

rvs/server.js

@@ -16,6 +16,12 @@ const ALLOWED_TYPES = new Set([
   "file_request", "file_response", "file_saved", "stt_result", "config", "tts_request",
   "xtts_request", "xtts_response", "xtts_list_voices", "xtts_voices_list", "voice_upload", "xtts_voice_saved",
   "update_check", "update_available", "update_download", "update_data",
+  "agent_activity", "cancel_request",
+  "audio_pcm",
+  "xtts_delete_voice",
+  "voice_preload", "voice_ready",
+  "stt_request", "stt_response",
+  "service_status",
 ]);
 
 // Token-Raum: token -> { clients: Set<ws> }

tools/export-jsonl-to-md.js

@@ -0,0 +1,74 @@
+#!/usr/bin/env node
+/**
+ * Exportiert ein OpenClaw Session-JSONL (auch .reset.*) als Markdown.
+ *
+ * Nutzung:
+ *   node export-jsonl-to-md.js <input.jsonl> [output.md]
+ *
+ * Oder direkt aus dem aria-core Container:
+ *   docker exec aria-core cat /home/node/.openclaw/agents/main/sessions/<ID>.jsonl.reset.<TS> \
+ *     | node export-jsonl-to-md.js - > output.md
+ */
+
+const fs = require("fs");
+
+const inputArg = process.argv[2];
+const outputArg = process.argv[3];
+
+if (!inputArg) {
+  console.error("Usage: export-jsonl-to-md.js <input.jsonl|-> [output.md]");
+  process.exit(1);
+}
+
+const raw = inputArg === "-" ? fs.readFileSync(0, "utf-8") : fs.readFileSync(inputArg, "utf-8");
+const lines = raw.split("\n").filter(l => l.trim());
+
+const blocks = [];
+for (const line of lines) {
+  let obj;
+  try { obj = JSON.parse(line); } catch { continue; }
+  if (obj.type !== "message" || !obj.message) continue;
+  const role = obj.message.role;
+  if (role !== "user" && role !== "assistant") continue;
+
+  let text = "";
+  const content = obj.message.content;
+  if (typeof content === "string") text = content;
+  else if (Array.isArray(content)) text = content.filter(c => c.type === "text").map(c => c.text || "").join("\n");
+  if (!text) continue;
+
+  if (role === "user") {
+    text = text.replace(/^Sender \(untrusted metadata\):[\s\S]*?```[\s\S]*?```\s*\n*/m, "").trim();
+    text = text.replace(/^\[.*?\]\s*/, "").trim();
+  } else {
+    text = text.replace(/^\[\[reply_to_\w+\]\]\s*/g, "").trim();
+  }
+  if (!text) continue;
+
+  const ts = obj.message.timestamp || obj.timestamp || 0;
+  const when = ts ? new Date(ts).toISOString().replace("T", " ").slice(0, 19) : "";
+  const heading = role === "user" ? "## 🧑 User" : "## 🤖 ARIA";
+  blocks.push(`${heading}${when ? ` — ${when}` : ""}\n\n${text}`);
+}
+
+const exportedAt = new Date().toISOString().replace("T", " ").slice(0, 19);
+const title = inputArg === "-" ? "Session" : inputArg.split("/").pop().replace(/\.jsonl.*/, "");
+const md = [
+  `# Session: ${title}`,
+  ``,
+  `Exportiert: ${exportedAt}  `,
+  `Quelle: ${inputArg === "-" ? "stdin" : inputArg}`,
+  `Nachrichten: ${blocks.length}`,
+  ``,
+  `---`,
+  ``,
+  blocks.join("\n\n---\n\n"),
+  ``,
+].join("\n");
+
+if (outputArg) {
+  fs.writeFileSync(outputArg, md);
+  console.error(`OK: ${blocks.length} Nachrichten → ${outputArg}`);
+} else {
+  process.stdout.write(md);
+}

xtts/.gitignore

@@ -0,0 +1,5 @@
+# Voice-Samples (lokal, gehoert nicht ins Repo)
+voices/
+
+# Docker .env
+.env

xtts/Dockerfile

@@ -1,5 +0,0 @@
-FROM node:22-alpine
-WORKDIR /app
-COPY bridge.js package.json ./
-RUN npm install --production
-CMD ["node", "bridge.js"]

xtts/bridge.js

@@ -1,298 +0,0 @@
-/**
- * ARIA XTTS Bridge — Verbindet XTTS v2 Server mit dem RVS
- *
- * Empfaengt tts_request ueber RVS → rendert Audio via XTTS API → sendet zurueck
- * Empfaengt voice_upload → speichert Voice-Sample fuer Cloning
- * Empfaengt xtts_list_voices → listet verfuegbare Stimmen
- */
-
-const WebSocket = require("ws");
-const http = require("http");
-const https = require("https");
-const fs = require("fs");
-const path = require("path");
-
-const XTTS_API_URL = process.env.XTTS_API_URL || "http://xtts:8000";
-const RVS_HOST = process.env.RVS_HOST || "";
-const RVS_PORT = process.env.RVS_PORT || "443";
-const RVS_TLS = process.env.RVS_TLS || "true";
-const RVS_TLS_FALLBACK = process.env.RVS_TLS_FALLBACK || "true";
-const RVS_TOKEN = process.env.RVS_TOKEN || "";
-const VOICES_DIR = "/voices";
-
-function log(msg) {
-  console.log(`[${new Date().toISOString()}] ${msg}`);
-}
-
-// ── RVS Verbindung ──────────────────────────────────
-
-let rvsWs = null;
-let retryDelay = 2;
-
-function connectRVS(forcePlain) {
-  if (!RVS_HOST || !RVS_TOKEN) {
-    log("RVS nicht konfiguriert — beende");
-    process.exit(1);
-  }
-
-  const useTls = RVS_TLS === "true" && !forcePlain;
-  const proto = useTls ? "wss" : "ws";
-  const url = `${proto}://${RVS_HOST}:${RVS_PORT}?token=${RVS_TOKEN}`;
-
-  log(`Verbinde zu RVS: ${proto}://${RVS_HOST}:${RVS_PORT}`);
-
-  const ws = new WebSocket(url);
-
-  ws.on("open", () => {
-    log("RVS verbunden — warte auf TTS-Requests");
-    rvsWs = ws;
-    retryDelay = 2;
-
-    // Keepalive
-    setInterval(() => {
-      if (ws.readyState === WebSocket.OPEN) {
-        ws.ping();
-        ws.send(JSON.stringify({ type: "heartbeat", timestamp: Date.now() }));
-      }
-    }, 25000);
-  });
-
-  ws.on("message", async (raw) => {
-    try {
-      const msg = JSON.parse(raw.toString());
-
-      if (msg.type === "xtts_request") {
-        await handleTTSRequest(msg.payload);
-      } else if (msg.type === "voice_upload") {
-        await handleVoiceUpload(msg.payload);
-      } else if (msg.type === "xtts_list_voices") {
-        await handleListVoices();
-      }
-    } catch (err) {
-      log(`Fehler: ${err.message}`);
-    }
-  });
-
-  ws.on("close", () => {
-    log("RVS Verbindung geschlossen");
-    rvsWs = null;
-    setTimeout(() => connectRVS(), Math.min(retryDelay * 1000, 30000));
-    retryDelay = Math.min(retryDelay * 2, 30);
-  });
-
-  ws.on("error", (err) => {
-    log(`RVS Fehler: ${err.message}`);
-    if (useTls && RVS_TLS_FALLBACK === "true") {
-      log("TLS fehlgeschlagen — Fallback auf ws://");
-      ws.removeAllListeners();
-      try { ws.close(); } catch (_) {}
-      connectRVS(true);
-    }
-  });
-}
-
-// ── TTS Request Handler ─────────────────────────────
-
-async function handleTTSRequest(payload) {
-  const { text, voice, requestId, language } = payload;
-  if (!text) return;
-
-  // Markdown entfernen
-  const cleanText = text.replace(/\*\*([^*]+)\*\*/g, "$1").trim();
-
-  // Text in Saetze aufteilen, dann zu Chunks von 2-3 Saetzen zusammenfassen
-  // (mehr Kontext = konsistentere Stimme/Lautstaerke, aber nicht zu lang fuer WebSocket)
-  const sentences = cleanText.split(/(?<=[.!?])\s+/)
-    .map(s => s.trim())
-    .filter(s => s.length > 0)
-    .map(s => s.replace(/[.]+$/, '')); // Punkt am Ende entfernen
-
-  const MAX_CHUNK_CHARS = 150; // Max ~150 Zeichen pro Chunk (schnelles Rendering, Preloading reicht)
-  const chunks = [];
-  let currentChunk = '';
-  for (const sentence of sentences) {
-    if (currentChunk && (currentChunk.length + sentence.length + 2) > MAX_CHUNK_CHARS) {
-      chunks.push(currentChunk);
-      currentChunk = sentence;
-    } else {
-      currentChunk = currentChunk ? currentChunk + ', ' + sentence : sentence;
-    }
-  }
-  if (currentChunk) chunks.push(currentChunk);
-  if (chunks.length === 0) return;
-
-  log(`TTS-Request: "${cleanText.slice(0, 60)}..." (${sentences.length} Saetze → ${chunks.length} Chunks, voice: ${voice || "default"}, lang: ${language || "de"})`);
-
-  try {
-    const voiceSample = voice ? path.join(VOICES_DIR, `${voice}.wav`) : null;
-    const hasCustomVoice = voiceSample && fs.existsSync(voiceSample);
-
-    // Streaming: Chunk rendern → sofort senden → naechster Chunk
-    // App spielt mit Preloading-Queue nahtlos ab
-    let sentCount = 0;
-
-    for (let i = 0; i < chunks.length; i++) {
-      const chunk = chunks[i];
-      try {
-        const audioBuffer = await callXTTSAPI(chunk, language || "de", hasCustomVoice ? voiceSample : null);
-
-        if (audioBuffer && audioBuffer.length > 100) {
-          log(`TTS [${i + 1}/${chunks.length}]: ${(audioBuffer.length / 1024).toFixed(0)}KB — "${chunk.slice(0, 50)}"`);
-
-          sendToRVS({
-            type: "xtts_response",
-            payload: {
-              requestId: `${requestId || ""}_${i}`,
-              base64: audioBuffer.toString("base64"),
-              mimeType: "audio/wav",
-              voice: voice || "default",
-              engine: "xtts",
-              part: i + 1,
-              totalParts: chunks.length,
-            },
-            timestamp: Date.now(),
-          });
-          sentCount++;
-        }
-      } catch (chunkErr) {
-        log(`TTS [${i + 1}/${chunks.length}] Fehler: ${chunkErr.message} — ueberspringe`);
-      }
-    }
-
-    log(`TTS komplett: ${sentCount}/${chunks.length} Chunks gestreamt`);
-  } catch (err) {
-    log(`TTS Fehler: ${err.message}`);
-    sendToRVS({
-      type: "xtts_response",
-      payload: { requestId, error: err.message },
-      timestamp: Date.now(),
-    });
-  }
-}
-
-function callXTTSAPI(text, language, speakerWav) {
-  return new Promise((resolve, reject) => {
-    const body = JSON.stringify({
-      text,
-      language,
-      speaker_wav: speakerWav || "",
-    });
-
-    const url = new URL(`${XTTS_API_URL}/tts_to_audio/`);
-    const options = {
-      hostname: url.hostname,
-      port: url.port,
-      path: url.pathname,
-      method: "POST",
-      headers: {
-        "Content-Type": "application/json",
-        "Content-Length": Buffer.byteLength(body),
-      },
-      timeout: 60000,
-    };
-
-    const req = http.request(options, (res) => {
-      const chunks = [];
-      res.on("data", (chunk) => chunks.push(chunk));
-      res.on("end", () => {
-        if (res.statusCode === 200) {
-          resolve(Buffer.concat(chunks));
-        } else {
-          reject(new Error(`XTTS API HTTP ${res.statusCode}: ${Buffer.concat(chunks).toString().slice(0, 200)}`));
-        }
-      });
-    });
-
-    req.on("error", reject);
-    req.on("timeout", () => { req.destroy(); reject(new Error("XTTS API Timeout (60s)")); });
-    req.write(body);
-    req.end();
-  });
-}
-
-// ── Voice Upload Handler ────────────────────────────
-
-async function handleVoiceUpload(payload) {
-  const { name, samples } = payload;
-  if (!name || !samples || !Array.isArray(samples) || samples.length === 0) {
-    log("Voice Upload: Ungueltige Daten");
-    return;
-  }
-
-  log(`Voice Upload: "${name}" (${samples.length} Samples)`);
-
-  try {
-    // Alle Samples zusammenfuegen
-    const buffers = samples.map(s => Buffer.from(s.base64, "base64"));
-    const combined = Buffer.concat(buffers);
-
-    // Als WAV speichern
-    fs.mkdirSync(VOICES_DIR, { recursive: true });
-    const filePath = path.join(VOICES_DIR, `${name.replace(/[^a-zA-Z0-9_-]/g, "_")}.wav`);
-    fs.writeFileSync(filePath, combined);
-
-    log(`Voice gespeichert: ${filePath} (${(combined.length / 1024).toFixed(0)}KB)`);
-
-    sendToRVS({
-      type: "xtts_voice_saved",
-      payload: { name, size: combined.length, path: filePath },
-      timestamp: Date.now(),
-    });
-  } catch (err) {
-    log(`Voice Upload Fehler: ${err.message}`);
-  }
-}
-
-// ── Voice List Handler ──────────────────────────────
-
-async function handleListVoices() {
-  try {
-    const files = fs.existsSync(VOICES_DIR)
-      ? fs.readdirSync(VOICES_DIR).filter(f => f.endsWith(".wav"))
-      : [];
-
-    const voices = files.map(f => ({
-      name: path.basename(f, ".wav"),
-      file: f,
-      size: fs.statSync(path.join(VOICES_DIR, f)).size,
-    }));
-
-    log(`Stimmen: ${voices.length} verfuegbar`);
-
-    sendToRVS({
-      type: "xtts_voices_list",
-      payload: { voices },
-      timestamp: Date.now(),
-    });
-  } catch (err) {
-    log(`Stimmen-Liste Fehler: ${err.message}`);
-  }
-}
-
-// ── RVS senden ──────────────────────────────────────
-
-function sendToRVS(msg) {
-  if (rvsWs && rvsWs.readyState === WebSocket.OPEN) {
-    rvsWs.send(JSON.stringify(msg));
-  }
-}
-
-// ── Start ───────────────────────────────────────────
-
-log("ARIA XTTS Bridge startet...");
-log(`XTTS API: ${XTTS_API_URL}`);
-log(`RVS: ${RVS_HOST}:${RVS_PORT}`);
-
-// Warten bis XTTS API erreichbar ist
-function waitForXTTS(callback, attempts) {
-  if (attempts <= 0) { log("XTTS API nicht erreichbar — starte trotzdem"); callback(); return; }
-  http.get(`${XTTS_API_URL}/docs`, (res) => {
-    log(`XTTS API erreichbar (HTTP ${res.statusCode})`);
-    callback();
-  }).on("error", () => {
-    log(`XTTS API noch nicht bereit — warte (${attempts} Versuche uebrig)...`);
-    setTimeout(() => waitForXTTS(callback, attempts - 1), 10000); // 10s statt 5s (Model laden dauert)
-  });
-}
-
-waitForXTTS(() => connectRVS(), 30); // Max 5min warten

xtts/docker-compose.yml

@@ -1,7 +1,7 @@
 # ════════════════════════════════════════════════
-#  ARIA XTTS v2 — GPU TTS Server
+#  ARIA Gamebox Stack — GPU F5-TTS + Whisper STT
 #  Laeuft auf dem Gaming-PC (RTX 3060)
-#  Verbindet sich zum RVS fuer TTS-Requests
+#  Verbindet sich zum RVS fuer TTS/STT-Requests
 # ════════════════════════════════════════════════
 #
 #  Voraussetzungen:
@@ -10,15 +10,18 @@
 #    - .env mit RVS-Verbindungsdaten
 #
 #  Start: docker compose up -d
-#  Test:  curl http://localhost:8000/docs
 # ════════════════════════════════════════════════
 
 services:
 
-  # ─── XTTS v2 API Server (GPU) ─────────────────
-  xtts:
-    image: daswer123/xtts-api-server:latest
-    container_name: aria-xtts
+  # ─── F5-TTS Bridge (GPU) ──────────────────────
+  # Ersetzt den frueheren XTTS-Stack. Empfaengt xtts_request via RVS,
+  # rendert via F5-TTS mit Voice-Cloning, streamt PCM an die App.
+  # Voice-Upload: speichert WAV und laesst whisper-bridge den Referenz-
+  # text transkribieren — der User muss nichts eintippen.
+  f5tts-bridge:
+    build: ./f5tts
+    container_name: aria-f5tts-bridge
     deploy:
       resources:
         reservations:
@@ -26,31 +29,54 @@ services:
             - driver: nvidia
               count: 1
               capabilities: [gpu]
-    ports:
-      - "8000:8020"
     volumes:
-      - xtts-models:/app/xtts_models             # Model-Cache (~2GB)
-      - ./voices:/voices                        # Custom Voice Samples
+      - ./voices:/voices                         # WAV + TXT Referenz
+                                                 # KEIN HF-Cache-Mount mehr —
+                                                 # Modell wird beim Start neu
+                                                 # gezogen. Diagnostic zeigt
+                                                 # "TTS laedt..." Banner bis
+                                                 # service_status: ready kommt.
     environment:
-      - COQUI_TOS_AGREED=1
-    restart: unless-stopped
-
-  # ─── XTTS Bridge (verbindet zu RVS) ───────────
-  xtts-bridge:
-    build: .
-    container_name: aria-xtts-bridge
-    depends_on:
-      - xtts
-    volumes:
-      - ./voices:/voices                        # Shared mit XTTS-Server
-    environment:
-      - XTTS_API_URL=http://xtts:8020
+      # Bootstrap-only — alle anderen F5-TTS-Settings (Modell, cfg_strength,
+      # nfe_step, Custom-Checkpoint) kommen ueber Diagnostic via RVS-config.
       - RVS_HOST=${RVS_HOST}
       - RVS_PORT=${RVS_PORT:-443}
       - RVS_TLS=${RVS_TLS:-true}
       - RVS_TLS_FALLBACK=${RVS_TLS_FALLBACK:-true}
       - RVS_TOKEN=${RVS_TOKEN}
+      - F5TTS_DEVICE=${F5TTS_DEVICE:-cuda}
+      - VOICES_DIR=/voices
     restart: unless-stopped
 
-volumes:
-  xtts-models:
+  # ─── Whisper STT (GPU) ────────────────────────
+  # Faster-Whisper auf der Gamebox statt auf der VM (CPU) —
+  # deutlich schneller. Verbindet sich selbst per WebSocket an
+  # den RVS und nimmt dort stt_request Nachrichten der aria-bridge
+  # entgegen, antwortet mit stt_response. Zusaetzlich nutzt die
+  # f5tts-bridge Whisper intern fuer die Referenz-Transkription bei
+  # Voice-Uploads. Laedt das Modell beim Start vor; auf Config-
+  # Broadcasts (Diagnostic → whisperModel) wird zur Laufzeit hot-
+  # swapped.
+  whisper-bridge:
+    build: ./whisper
+    container_name: aria-whisper-bridge
+    deploy:
+      resources:
+        reservations:
+          devices:
+            - driver: nvidia
+              count: 1
+              capabilities: [gpu]
+    environment:
+      - RVS_HOST=${RVS_HOST}
+      - RVS_PORT=${RVS_PORT:-443}
+      - RVS_TLS=${RVS_TLS:-true}
+      - RVS_TLS_FALLBACK=${RVS_TLS_FALLBACK:-true}
+      - RVS_TOKEN=${RVS_TOKEN}
+      - WHISPER_MODEL=${WHISPER_MODEL:-small}
+      - WHISPER_DEVICE=${WHISPER_DEVICE:-cuda}
+      - WHISPER_COMPUTE_TYPE=${WHISPER_COMPUTE_TYPE:-float16}
+      - WHISPER_LANGUAGE=${WHISPER_LANGUAGE:-de}
+    # KEIN HF-Cache-Mount — Whisper-Modell wird beim Start neu gezogen.
+    # Wechsel via Diagnostic triggert ebenso Re-Download.
+    restart: unless-stopped

xtts/f5tts/Dockerfile

@@ -0,0 +1,21 @@
+FROM nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04
+
+ENV DEBIAN_FRONTEND=noninteractive
+ENV PYTHONUNBUFFERED=1
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3 python3-pip ffmpeg git \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+# PyTorch CUDA-Wheels zuerst (f5-tts zieht sonst CPU-only Torch rein)
+RUN pip3 install --no-cache-dir torch==2.3.1 torchaudio==2.3.1 \
+    --index-url https://download.pytorch.org/whl/cu121
+
+COPY requirements.txt .
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+COPY bridge.py .
+
+CMD ["python3", "bridge.py"]

xtts/f5tts/bridge.py

@@ -0,0 +1,732 @@
+#!/usr/bin/env python3
+"""
+ARIA F5-TTS Bridge — laeuft auf der Gamebox (RTX 3060).
+
+Empfaengt xtts_request via RVS → F5-TTS Voice Cloning auf GPU → streamt
+16-bit PCM Chunks als audio_pcm Nachrichten zurueck an die App.
+
+Voice-Layout im VOICES_DIR:
+  {name}.wav   — Referenz-Audio (6-10s, 24kHz mono empfohlen)
+  {name}.txt   — Referenz-Text (UTF-8, was im WAV gesprochen wird)
+
+Beim voice_upload senden wir intern einen stt_request an die whisper-bridge
+und legen die Transkription als .txt ab — der User muss keinen Text eingeben.
+
+Env:
+  RVS_HOST, RVS_PORT, RVS_TLS, RVS_TLS_FALLBACK, RVS_TOKEN
+  F5TTS_MODEL   Default: F5TTS_v1_Base
+  F5TTS_DEVICE  Default: cuda
+  VOICES_DIR    Default: /voices
+"""
+import asyncio
+import base64
+import json
+import logging
+import os
+import re
+import subprocess
+import sys
+import tempfile
+import time
+import uuid
+from pathlib import Path
+from typing import Optional
+
+import numpy as np
+import soundfile as sf
+import websockets
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(message)s",
+    datefmt="%H:%M:%S",
+)
+logger = logging.getLogger("f5tts-bridge")
+# HuggingFace + Torch download-Logs etwas daempfen
+logging.getLogger("httpx").setLevel(logging.WARNING)
+logging.getLogger("urllib3").setLevel(logging.WARNING)
+
+RVS_HOST = os.getenv("RVS_HOST", "").strip()
+RVS_PORT = int(os.getenv("RVS_PORT", "443"))
+RVS_TLS = os.getenv("RVS_TLS", "true").lower() == "true"
+RVS_TLS_FALLBACK = os.getenv("RVS_TLS_FALLBACK", "true").lower() == "true"
+RVS_TOKEN = os.getenv("RVS_TOKEN", "").strip()
+
+# F5-TTS Konfiguration
+# ─────────────────────────────────────────────────────────────────
+# Defaults sind hard-coded — bewusst KEINE ENV-Vars (ausser F5TTS_DEVICE,
+# weil Hardware-Bootstrap). Alle Settings werden zur Laufzeit via RVS
+# config-Broadcast aus Diagnostic uebersteuert (Felder f5ttsModel,
+# f5ttsCkptFile, f5ttsVocabFile, f5ttsCfgStrength, f5ttsNfeStep).
+F5TTS_DEVICE = os.getenv("F5TTS_DEVICE", "cuda")  # nur Bootstrap
+
+DEFAULT_F5TTS_MODEL = "F5TTS_v1_Base"
+DEFAULT_F5TTS_CKPT_FILE = ""        # leer = Default-Checkpoint von HF
+DEFAULT_F5TTS_VOCAB_FILE = ""       # leer = Default-Vocab vom Modell
+# cfg_strength: wie stark der Generator am Referenz-Voice klebt.
+# Default F5-TTS = 2.0. Bei nicht-EN/CN Sprachen (Deutsch!) hilft 2.5+,
+# damit das Modell nicht in eine andere Sprache abrutscht.
+DEFAULT_F5TTS_CFG_STRENGTH = 2.5
+DEFAULT_F5TTS_NFE_STEP = 32
+
+VOICES_DIR = Path(os.getenv("VOICES_DIR", "/voices"))
+
+PCM_CHUNK_BYTES = 8192   # ~170ms @ 24kHz mono s16
+TARGET_SR = 24000        # F5-TTS native
+
+# Wird in einer Uebergangsphase als "ungueltige Referenz" erkannt (alte voices,
+# die hochgeladen wurden bevor die whisper-bridge online war). Bei Erkennung
+# loeschen wir die .txt und ziehen den echten Text nach.
+_LEGACY_PLACEHOLDER_REF = "Das ist ein Referenz Audio."
+
+# ── Lazy F5-TTS Loader ──────────────────────────────────────
+
+_F5TTS_cls = None
+
+
+def _get_f5tts_cls():
+    """Lazy import damit Startup-Logs nicht durch Torch-Warnungen zumuellen."""
+    global _F5TTS_cls
+    if _F5TTS_cls is None:
+        from f5_tts.api import F5TTS as _cls
+        _F5TTS_cls = _cls
+    return _F5TTS_cls
+
+
+class F5Runner:
+    """Haelt das F5-TTS-Modell. Synthese laeuft im Executor (blocking).
+
+    Live-Settings (Modell, cfg_strength, nfe_step) werden ueber update_config()
+    aus dem Diagnostic-Config-Broadcast gesetzt; bei Modell-Wechsel wird
+    automatisch neu geladen.
+    """
+
+    def __init__(self) -> None:
+        self.model = None
+        self._lock = asyncio.Lock()
+        # Aktuelle Werte — gestartet mit Hard-Defaults, ueberschrieben von Diagnostic
+        self.model_id: str = DEFAULT_F5TTS_MODEL
+        self.ckpt_file: str = DEFAULT_F5TTS_CKPT_FILE
+        self.vocab_file: str = DEFAULT_F5TTS_VOCAB_FILE
+        self.cfg_strength: float = DEFAULT_F5TTS_CFG_STRENGTH
+        self.nfe_step: int = DEFAULT_F5TTS_NFE_STEP
+        # Last load-time fuer service_status Broadcast
+        self.last_load_seconds: float = 0.0
+        self._load_started_at: float = 0.0
+
+    def _load_blocking(self) -> None:
+        cls = _get_f5tts_cls()
+        logger.info("Lade F5-TTS '%s' (device=%s, ckpt=%s)...",
+                    self.model_id, F5TTS_DEVICE, self.ckpt_file or "default")
+        self._load_started_at = time.time()
+        kwargs = {"model": self.model_id, "device": F5TTS_DEVICE}
+        if self.ckpt_file:
+            kwargs["ckpt_file"] = self.ckpt_file
+        if self.vocab_file:
+            kwargs["vocab_file"] = self.vocab_file
+        self.model = cls(**kwargs)
+        elapsed = time.time() - self._load_started_at
+        logger.info("F5-TTS geladen in %.1fs (cfg_strength=%.1f, nfe=%d)",
+                    elapsed, self.cfg_strength, self.nfe_step)
+        # Wird von outside (run_loop) gelesen um service_status auf 'ready' zu setzen
+        self.last_load_seconds = elapsed
+
+    async def ensure_loaded(self) -> None:
+        async with self._lock:
+            if self.model is not None:
+                return
+            loop = asyncio.get_event_loop()
+            await loop.run_in_executor(None, self._load_blocking)
+
+    async def update_config(self, payload: dict) -> None:
+        """Liest f5tts*-Felder aus einem config-Broadcast.
+        Bei Modell-relevantem Wechsel wird neu geladen."""
+        new_model = (payload.get("f5ttsModel") or "").strip() or self.model_id
+        new_ckpt = payload.get("f5ttsCkptFile", self.ckpt_file) or ""
+        new_vocab = payload.get("f5ttsVocabFile", self.vocab_file) or ""
+        try:
+            new_cfg = float(payload.get("f5ttsCfgStrength", self.cfg_strength))
+        except (TypeError, ValueError):
+            new_cfg = self.cfg_strength
+        try:
+            new_nfe = int(payload.get("f5ttsNfeStep", self.nfe_step))
+        except (TypeError, ValueError):
+            new_nfe = self.nfe_step
+
+        # Settings die KEINEN Modell-Reload brauchen (zur naechsten Synthese aktiv)
+        self.cfg_strength = new_cfg
+        self.nfe_step = new_nfe
+
+        # Settings die einen Reload triggern
+        model_changed = (new_model != self.model_id
+                         or new_ckpt != self.ckpt_file
+                         or new_vocab != self.vocab_file)
+        if model_changed:
+            logger.info("F5-TTS Config-Wechsel: model=%s ckpt=%s vocab=%s — Reload",
+                        new_model, new_ckpt or "default", new_vocab or "default")
+            self.model_id = new_model
+            self.ckpt_file = new_ckpt
+            self.vocab_file = new_vocab
+            async with self._lock:
+                old = self.model
+                self.model = None
+                # Alte Instanz freigeben
+                try:
+                    if old is not None:
+                        del old
+                except Exception:
+                    pass
+                loop = asyncio.get_event_loop()
+                await loop.run_in_executor(None, self._load_blocking)
+        else:
+            logger.info("F5-TTS Live-Config: cfg_strength=%.2f nfe=%d", new_cfg, new_nfe)
+
+    def _infer_blocking(self, gen_text: str, ref_wav: str, ref_text: str) -> tuple[np.ndarray, int]:
+        wav, sr, _ = self.model.infer(
+            ref_file=ref_wav,
+            ref_text=ref_text,
+            gen_text=gen_text,
+            remove_silence=True,
+            seed=-1,
+            cfg_strength=self.cfg_strength,
+            nfe_step=self.nfe_step,
+        )
+        # F5-TTS gibt float32 1D-Array — auf 24kHz sample-rate standard
+        if not isinstance(wav, np.ndarray):
+            wav = np.asarray(wav, dtype=np.float32)
+        if wav.ndim > 1:
+            wav = wav.squeeze()
+        return wav.astype(np.float32), int(sr)
+
+    async def synthesize(self, gen_text: str, ref_wav: str, ref_text: str) -> tuple[np.ndarray, int]:
+        await self.ensure_loaded()
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, self._infer_blocking, gen_text, ref_wav, ref_text)
+
+
+# ── Helpers ─────────────────────────────────────────────────
+
+_SENTENCE_SPLIT = re.compile(r"(?<=[.!?])\s+|\n+")
+
+
+def split_sentences(text: str, max_len: int = 350) -> list[str]:
+    """Teilt langen Text an Satzgrenzen. Kurze Texte bleiben als-is."""
+    text = text.strip()
+    if not text:
+        return []
+    if len(text) <= max_len:
+        return [text]
+    parts = [p.strip() for p in _SENTENCE_SPLIT.split(text) if p.strip()]
+    # Zu kurze Fragmente mergen damit F5-TTS nicht an jedem Komma neu startet
+    merged: list[str] = []
+    buf = ""
+    for p in parts:
+        if len(buf) + len(p) + 1 <= max_len:
+            buf = f"{buf} {p}".strip()
+        else:
+            if buf:
+                merged.append(buf)
+            buf = p
+    if buf:
+        merged.append(buf)
+    return merged or [text]
+
+
+def float_to_pcm16(wav: np.ndarray) -> bytes:
+    """Float32 (-1..+1) → int16 little-endian bytes."""
+    wav = np.clip(wav, -1.0, 1.0)
+    pcm = (wav * 32767.0).astype(np.int16)
+    return pcm.tobytes()
+
+
+def sanitize_voice_name(name: str) -> str:
+    return re.sub(r"[^a-zA-Z0-9_-]", "_", name)
+
+
+def voice_paths(name: str) -> tuple[Path, Path]:
+    safe = sanitize_voice_name(name)
+    return VOICES_DIR / f"{safe}.wav", VOICES_DIR / f"{safe}.txt"
+
+
+def ensure_24k_mono_wav(src_wav: Path) -> Path:
+    """F5-TTS moechte 24kHz mono als Referenz — ffmpeg konvertiert inplace.
+
+    Wenn das File schon passt, wird nichts geaendert. Sonst wird es
+    reingeschrieben (Original wird ueberschrieben).
+    """
+    try:
+        info = sf.info(str(src_wav))
+        if info.samplerate == TARGET_SR and info.channels == 1:
+            return src_wav
+    except Exception:
+        pass
+    tmp_out = src_wav.with_suffix(".conv.wav")
+    cmd = ["ffmpeg", "-y", "-i", str(src_wav),
+           "-ar", str(TARGET_SR), "-ac", "1", "-f", "wav", str(tmp_out)]
+    r = subprocess.run(cmd, capture_output=True, timeout=30)
+    if r.returncode != 0:
+        logger.warning("ffmpeg-Konvertierung von %s fehlgeschlagen: %s",
+                       src_wav, r.stderr.decode(errors="replace")[:200])
+        try:
+            tmp_out.unlink()
+        except OSError:
+            pass
+        return src_wav
+    os.replace(tmp_out, src_wav)
+    return src_wav
+
+
+async def _send(ws, mtype: str, payload: dict) -> None:
+    try:
+        await ws.send(json.dumps({
+            "type": mtype,
+            "payload": payload,
+            "timestamp": int(time.time() * 1000),
+        }))
+    except Exception as e:
+        logger.warning("Send fehlgeschlagen (%s): %s", mtype, e)
+
+
+# ── Interne Transkription via whisper-bridge ────────────────
+
+_pending_stt: dict[str, asyncio.Future] = {}
+_STT_TIMEOUT_S = 60.0
+
+
+async def request_transcription(ws, wav_path: Path, language: str = "de") -> Optional[str]:
+    """Sendet einen stt_request an die whisper-bridge (ueber RVS) und wartet auf stt_response."""
+    try:
+        with open(wav_path, "rb") as f:
+            audio_b64 = base64.b64encode(f.read()).decode("ascii")
+    except Exception as e:
+        logger.error("Lesen %s fehlgeschlagen: %s", wav_path, e)
+        return None
+
+    request_id = str(uuid.uuid4())
+    loop = asyncio.get_event_loop()
+    fut: asyncio.Future = loop.create_future()
+    _pending_stt[request_id] = fut
+
+    try:
+        await _send(ws, "stt_request", {
+            "requestId": request_id,
+            "audio": audio_b64,
+            "mimeType": "audio/wav",
+            "model": "small",  # klein reicht fuer Voice-Referenz
+            "language": language,
+        })
+        return await asyncio.wait_for(fut, timeout=_STT_TIMEOUT_S)
+    except asyncio.TimeoutError:
+        logger.warning("Transkription Timeout fuer %s", wav_path.name)
+        return None
+    except Exception as e:
+        logger.warning("Transkription Fehler: %s", e)
+        return None
+    finally:
+        _pending_stt.pop(request_id, None)
+
+
+# ── TTS-Request Handler ─────────────────────────────────────
+
+# Queue damit sich parallele Requests nicht ueberlappen (GPU-Throughput)
+_tts_queue: asyncio.Queue[tuple] = asyncio.Queue()
+
+
+async def _tts_worker(ws, runner: F5Runner) -> None:
+    """Serialisiert Synthesen — GPU kann sonst OOM gehen."""
+    while True:
+        text, voice, request_id, message_id, language = await _tts_queue.get()
+        try:
+            await _do_tts(ws, runner, text, voice, request_id, message_id, language)
+        except Exception:
+            logger.exception("TTS-Worker Fehler")
+        finally:
+            _tts_queue.task_done()
+
+
+async def _do_tts(ws, runner: F5Runner, text: str, voice: str,
+                  request_id: str, message_id: str, language: str) -> None:
+    t0 = time.time()
+    ref_wav_path, ref_txt_path = voice_paths(voice) if voice else (None, None)
+
+    # Legacy-Platzhalter erkennen → behandeln als "kein txt" und neu transkribieren
+    if voice and ref_txt_path and ref_txt_path.exists():
+        try:
+            existing = ref_txt_path.read_text(encoding="utf-8").strip()
+            if existing == _LEGACY_PLACEHOLDER_REF or not existing:
+                logger.info("Voice '%s' hat Legacy-Platzhalter → loesche, transkribiere neu", voice)
+                ref_txt_path.unlink()
+        except Exception:
+            pass
+
+    has_custom = bool(voice and ref_wav_path and ref_wav_path.exists() and ref_txt_path.exists())
+    if voice and not has_custom:
+        # Wenn nur WAV da ist aber kein txt → on-the-fly transkribieren
+        if ref_wav_path and ref_wav_path.exists() and (not ref_txt_path or not ref_txt_path.exists()):
+            logger.info("Voice '%s' hat kein txt — transkribiere on-the-fly", voice)
+            text_ref = await request_transcription(ws, ref_wav_path, language)
+            if text_ref and text_ref.strip():
+                try:
+                    ref_txt_path.write_text(text_ref.strip(), encoding="utf-8")
+                    has_custom = True
+                    logger.info("Referenz-Text nachgezogen: '%s'", text_ref[:60])
+                except Exception as e:
+                    logger.warning("Referenz-Text speichern fehlgeschlagen: %s", e)
+        if not has_custom:
+            logger.warning("Voice '%s' nicht komplett (%s, txt=%s) — nehme Default",
+                           voice, ref_wav_path, (ref_txt_path and ref_txt_path.exists()))
+
+    if has_custom:
+        ref_wav_str = str(ref_wav_path)
+        ref_text = ref_txt_path.read_text(encoding="utf-8").strip()
+    else:
+        # Fallback: kein Custom-Voice. F5-TTS braucht IMMER eine Referenz,
+        # wir nehmen default_ref.wav/txt falls vorhanden, sonst die erste
+        # gefundene Voice im Ordner.
+        default_wav = VOICES_DIR / "default_ref.wav"
+        default_txt = VOICES_DIR / "default_ref.txt"
+        if default_wav.exists() and default_txt.exists():
+            ref_wav_str = str(default_wav)
+            ref_text = default_txt.read_text(encoding="utf-8").strip()
+        else:
+            # Nimm irgendein vorhandenes voice-Paar
+            pair = next(
+                ((w, t) for w, t in (
+                    (v, v.with_suffix(".txt")) for v in VOICES_DIR.glob("*.wav")
+                ) if t.exists()),
+                None,
+            )
+            if not pair:
+                logger.error("Keine Referenz-Stimme im VOICES_DIR — TTS abgebrochen")
+                return
+            ref_wav_str, ref_text = str(pair[0]), pair[1].read_text(encoding="utf-8").strip()
+
+    sentences = split_sentences(text)
+    logger.info("F5-TTS: %d Satz(e), voice=%s (%s)", len(sentences), voice or "default", ref_wav_str)
+
+    chunk_index = 0
+    pcm_sr = TARGET_SR
+    for i, sent in enumerate(sentences):
+        try:
+            wav, sr = await runner.synthesize(sent, ref_wav_str, ref_text)
+            pcm_sr = sr
+            pcm_bytes = float_to_pcm16(wav)
+            # Erste PCM-Chunk des allerersten Satzes bekommt Fade-In (maskiert
+            # eventuelle Warmup-Glitches). Alle anderen Chunks bleiben wie sind.
+            if i == 0 and chunk_index == 0:
+                pcm_bytes = _fade_in_pcm16(pcm_bytes, sr, 120)
+
+            # Stueckeln
+            for off in range(0, len(pcm_bytes), PCM_CHUNK_BYTES):
+                slice_ = pcm_bytes[off:off + PCM_CHUNK_BYTES]
+                await _send(ws, "audio_pcm", {
+                    "requestId": request_id,
+                    "messageId": message_id,
+                    "base64": base64.b64encode(slice_).decode("ascii"),
+                    "format": "pcm_s16le",
+                    "sampleRate": sr,
+                    "channels": 1,
+                    "voice": voice or "default",
+                    "chunk": chunk_index,
+                    "final": False,
+                })
+                chunk_index += 1
+        except Exception as e:
+            logger.exception("F5-TTS Synthese-Fehler (Satz %d)", i)
+            await _send(ws, "xtts_response", {
+                "requestId": request_id,
+                "error": str(e)[:200],
+            })
+            return
+
+    # Final-Marker
+    await _send(ws, "audio_pcm", {
+        "requestId": request_id,
+        "messageId": message_id,
+        "base64": "",
+        "format": "pcm_s16le",
+        "sampleRate": pcm_sr,
+        "channels": 1,
+        "voice": voice or "default",
+        "chunk": chunk_index,
+        "final": True,
+    })
+
+    logger.info("TTS komplett: %d Chunks, %.2fs render (voice=%s, text=%d chars)",
+                chunk_index, time.time() - t0, voice or "default", len(text))
+
+
+def _fade_in_pcm16(pcm: bytes, sr: int, fade_ms: int) -> bytes:
+    """Linear Fade-In auf erste fade_ms — maskiert Warmup-Glitches."""
+    arr = np.frombuffer(pcm, dtype=np.int16).copy()
+    fade_samples = min(int((fade_ms / 1000.0) * sr), len(arr))
+    if fade_samples <= 0:
+        return pcm
+    ramp = np.linspace(0.0, 1.0, fade_samples, dtype=np.float32)
+    arr[:fade_samples] = (arr[:fade_samples].astype(np.float32) * ramp).astype(np.int16)
+    return arr.tobytes()
+
+
+# ── Voice Management Handlers ───────────────────────────────
+
+async def handle_voice_upload(ws, payload: dict) -> None:
+    name = (payload.get("name") or "").strip()
+    samples = payload.get("samples") or []
+    if not name or not samples:
+        logger.warning("voice_upload: ungueltig (name=%r, samples=%d)", name, len(samples))
+        return
+    logger.info("Voice-Upload: '%s' (%d Samples)", name, len(samples))
+
+    try:
+        VOICES_DIR.mkdir(parents=True, exist_ok=True)
+        safe = sanitize_voice_name(name)
+        wav_path = VOICES_DIR / f"{safe}.wav"
+        txt_path = VOICES_DIR / f"{safe}.txt"
+
+        # Samples zusammenfuegen
+        buffers = [base64.b64decode(s.get("base64", "")) for s in samples]
+        with open(wav_path, "wb") as f:
+            for b in buffers:
+                f.write(b)
+        size_kb = wav_path.stat().st_size / 1024
+        logger.info("Voice WAV gespeichert: %s (%.0fKB)", wav_path, size_kb)
+
+        # Auf 24kHz mono normalisieren (falls App in anderem Format liefert)
+        ensure_24k_mono_wav(wav_path)
+
+        # Transkription ueber whisper-bridge anfragen
+        logger.info("Transkribiere '%s' via whisper-bridge...", name)
+        text = await request_transcription(ws, wav_path, language="de")
+        if text and text.strip():
+            txt_path.write_text(text.strip(), encoding="utf-8")
+            logger.info("Voice '%s' komplett (txt: %s)", name, text[:80])
+            ref_text_for_response = text.strip()
+        else:
+            # KEIN Platzhalter mehr schreiben! Beim ersten echten TTS-Use wird
+            # on-the-fly nachtranskribiert. Wenn die whisper-bridge dann online
+            # ist, klappt's — sonst koennte der User die .txt manuell anlegen.
+            logger.warning("Voice '%s': Transkription fehlgeschlagen — .txt bleibt leer, "
+                           "wird on-the-fly bei erstem Render nachgezogen", name)
+            ref_text_for_response = ""
+
+        await _send(ws, "xtts_voice_saved", {
+            "name": name, "size": int(size_kb * 1024), "refText": ref_text_for_response,
+        })
+        # Liste aktualisieren
+        await handle_list_voices(ws)
+    except Exception as e:
+        logger.exception("voice_upload Fehler")
+        await _send(ws, "xtts_voice_saved", {"name": name, "error": str(e)[:200]})
+
+
+async def handle_list_voices(ws) -> None:
+    try:
+        voices = []
+        if VOICES_DIR.exists():
+            for wav in sorted(VOICES_DIR.glob("*.wav")):
+                txt = wav.with_suffix(".txt")
+                voices.append({
+                    "name": wav.stem,
+                    "file": wav.name,
+                    "size": wav.stat().st_size,
+                    "hasRefText": txt.exists(),
+                })
+        logger.info("Stimmen-Liste: %d", len(voices))
+        await _send(ws, "xtts_voices_list", {"voices": voices})
+    except Exception:
+        logger.exception("handle_list_voices Fehler")
+
+
+async def handle_delete_voice(ws, payload: dict) -> None:
+    name = (payload.get("name") or "").strip()
+    if not name:
+        return
+    try:
+        wav, txt = voice_paths(name)
+        for p in (wav, txt):
+            if p.exists():
+                p.unlink()
+                logger.info("Voice geloescht: %s", p)
+        await handle_list_voices(ws)
+    except Exception:
+        logger.exception("handle_delete_voice Fehler")
+
+
+# Letzte diagnostisch-gesetzte Voice (verhindert Endlos-Preload bei jedem config)
+_last_diag_voice = ""
+
+
+async def handle_voice_preload(ws, payload: dict, runner: F5Runner) -> None:
+    voice = (payload.get("voice") or "").strip()
+    request_id = payload.get("requestId", "")
+    logger.info("Voice-Preload angefordert: '%s'", voice or "default")
+
+    try:
+        ref_wav, ref_txt = voice_paths(voice) if voice else (None, None)
+        if voice and (not ref_wav or not ref_wav.exists()):
+            await _send(ws, "voice_ready", {"voice": voice, "requestId": request_id, "error": "voice-file-not-found"})
+            return
+
+        # Ref-Text sicherstellen (falls nur WAV da ist)
+        if voice and ref_txt and not ref_txt.exists():
+            text = await request_transcription(ws, ref_wav, language="de")
+            if text:
+                ref_txt.write_text(text.strip(), encoding="utf-8")
+                logger.info("Referenz-Text beim Preload nachgezogen")
+
+        # Dummy-Render zum Warmup
+        t0 = time.time()
+        await _do_tts(ws, runner, "ja.", voice, f"preload-{request_id}", "", "de")
+        ms = int((time.time() - t0) * 1000)
+        await _send(ws, "voice_ready", {"voice": voice, "requestId": request_id, "loadMs": ms})
+    except Exception as e:
+        logger.exception("Voice-Preload Fehler")
+        await _send(ws, "voice_ready", {"voice": voice, "requestId": request_id, "error": str(e)[:200]})
+
+
+# ── Haupt-Loop ──────────────────────────────────────────────
+
+async def _broadcast_status(ws, state: str, **extra) -> None:
+    """Sendet service_status fuer das F5-TTS Modul.
+    state: 'loading' | 'ready' | 'error'."""
+    payload = {"service": "f5tts", "state": state}
+    payload.update(extra)
+    await _send(ws, "service_status", payload)
+
+
+async def run_loop(runner: F5Runner) -> None:
+    use_tls = RVS_TLS
+    retry_s = 2
+    tls_fallback_tried = False
+    global _last_diag_voice
+
+    while True:
+        scheme = "wss" if use_tls else "ws"
+        url = f"{scheme}://{RVS_HOST}:{RVS_PORT}/ws?token={RVS_TOKEN}"
+        masked = url.replace(RVS_TOKEN, "***") if RVS_TOKEN else url
+
+        try:
+            logger.info("Verbinde zu RVS: %s", masked)
+            async with websockets.connect(url, ping_interval=20, ping_timeout=10, max_size=50 * 1024 * 1024) as ws:
+                logger.info("RVS verbunden")
+                retry_s = 2
+                tls_fallback_tried = False
+
+                # Status-Broadcast: erst loading, dann ready nach erfolgreichem Load.
+                # Modell wird hier (nicht ausserhalb der Schleife) gestartet damit
+                # der Loading-Status auch wirklich uebertragen werden kann.
+                async def _load_with_status():
+                    if runner.model is not None:
+                        await _broadcast_status(ws, "ready",
+                                                model=runner.model_id,
+                                                loadSeconds=runner.last_load_seconds)
+                        return
+                    await _broadcast_status(ws, "loading", model=runner.model_id)
+                    try:
+                        await runner.ensure_loaded()
+                        await _broadcast_status(ws, "ready",
+                                                model=runner.model_id,
+                                                loadSeconds=runner.last_load_seconds)
+                    except Exception as e:
+                        await _broadcast_status(ws, "error", error=str(e)[:200])
+                asyncio.create_task(_load_with_status())
+
+                # TTS-Worker fuer diese Verbindung starten
+                worker = asyncio.create_task(_tts_worker(ws, runner))
+
+                try:
+                    async for raw in ws:
+                        try:
+                            msg = json.loads(raw)
+                        except Exception:
+                            continue
+                        mtype = msg.get("type", "")
+                        payload = msg.get("payload", {}) or {}
+
+                        if mtype == "xtts_request":
+                            await _tts_queue.put((
+                                payload.get("text", ""),
+                                payload.get("voice", "") or "",
+                                payload.get("requestId", ""),
+                                payload.get("messageId", ""),
+                                payload.get("language", "de"),
+                            ))
+                        elif mtype == "voice_upload":
+                            asyncio.create_task(handle_voice_upload(ws, payload))
+                        elif mtype == "xtts_list_voices":
+                            asyncio.create_task(handle_list_voices(ws))
+                        elif mtype == "xtts_delete_voice":
+                            asyncio.create_task(handle_delete_voice(ws, payload))
+                        elif mtype == "voice_preload":
+                            asyncio.create_task(handle_voice_preload(ws, payload, runner))
+                        elif mtype == "stt_response":
+                            # Antwort auf unseren internen Transkriptions-Request
+                            req_id = payload.get("requestId", "")
+                            fut = _pending_stt.get(req_id)
+                            if fut and not fut.done():
+                                if payload.get("error"):
+                                    fut.set_result(None)
+                                else:
+                                    fut.set_result(payload.get("text") or "")
+                        elif mtype == "config":
+                            # F5-TTS-Settings aktualisieren (Modell, cfg_strength, nfe)
+                            async def _update_with_status(p):
+                                # Schaut ob ein Modell-Wechsel ansteht — falls ja:
+                                # erst loading-Status, dann update, dann ready.
+                                old_model = (runner.model_id, runner.ckpt_file, runner.vocab_file)
+                                new_model_id = (p.get("f5ttsModel") or runner.model_id,
+                                                p.get("f5ttsCkptFile", runner.ckpt_file) or "",
+                                                p.get("f5ttsVocabFile", runner.vocab_file) or "")
+                                will_reload = old_model != new_model_id
+                                if will_reload:
+                                    await _broadcast_status(ws, "loading", model=new_model_id[0])
+                                try:
+                                    await runner.update_config(p)
+                                    if will_reload:
+                                        await _broadcast_status(ws, "ready",
+                                                                model=runner.model_id,
+                                                                loadSeconds=runner.last_load_seconds)
+                                except Exception as e:
+                                    if will_reload:
+                                        await _broadcast_status(ws, "error", error=str(e)[:200])
+                            asyncio.create_task(_update_with_status(payload))
+                            # Voice-Preload bei Wechsel
+                            v = (payload.get("xttsVoice") or "").strip()
+                            if v and v != _last_diag_voice:
+                                _last_diag_voice = v
+                                asyncio.create_task(handle_voice_preload(
+                                    ws, {"voice": v, "source": "diagnostic"}, runner,
+                                ))
+                            elif not v:
+                                _last_diag_voice = ""
+                finally:
+                    worker.cancel()
+                    try:
+                        await worker
+                    except asyncio.CancelledError:
+                        pass
+        except Exception as e:
+            logger.warning("Verbindung verloren: %s", e)
+            if use_tls and RVS_TLS_FALLBACK and not tls_fallback_tried:
+                logger.info("TLS fehlgeschlagen — Fallback auf ws://")
+                use_tls = False
+                tls_fallback_tried = True
+                continue
+            await asyncio.sleep(min(retry_s, 30))
+            retry_s = min(retry_s * 2, 30)
+
+
+async def main() -> None:
+    if not RVS_HOST:
+        logger.error("RVS_HOST nicht gesetzt — Abbruch")
+        sys.exit(1)
+    VOICES_DIR.mkdir(parents=True, exist_ok=True)
+    runner = F5Runner()
+    await run_loop(runner)
+
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        sys.exit(0)

xtts/f5tts/requirements.txt

@@ -0,0 +1,5 @@
+f5-tts>=1.0.0
+websockets>=12.0
+numpy>=1.24
+soundfile>=0.12
+requests>=2.31

xtts/package.json

@@ -1,8 +0,0 @@
-{
-  "name": "aria-xtts-bridge",
-  "version": "1.0.0",
-  "private": true,
-  "dependencies": {
-    "ws": "^8.16.0"
-  }
-}

xtts/whisper/Dockerfile

@@ -0,0 +1,14 @@
+FROM nvidia/cuda:12.2.2-cudnn8-runtime-ubuntu22.04
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    python3 python3-pip ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+COPY requirements.txt .
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+COPY bridge.py .
+
+CMD ["python3", "bridge.py"]

xtts/whisper/bridge.py

@@ -0,0 +1,285 @@
+#!/usr/bin/env python3
+"""
+ARIA Whisper Bridge — laeuft auf der Gamebox (RTX 3060).
+
+Empfaengt stt_request via RVS → FFmpeg-Konvertierung → faster-whisper auf GPU
+→ sendet stt_response zurueck an die aria-bridge.
+
+Env:
+  RVS_HOST, RVS_PORT, RVS_TLS, RVS_TLS_FALLBACK, RVS_TOKEN
+  WHISPER_MODEL          Default: small
+  WHISPER_DEVICE         Default: cuda
+  WHISPER_COMPUTE_TYPE   Default: float16
+  WHISPER_LANGUAGE       Default: de
+"""
+import asyncio
+import base64
+import json
+import logging
+import os
+import subprocess
+import sys
+import tempfile
+import time
+from typing import Optional
+
+import numpy as np
+import websockets
+from faster_whisper import WhisperModel
+
+logging.basicConfig(
+    level=logging.INFO,
+    format="%(asctime)s [%(levelname)s] %(message)s",
+    datefmt="%H:%M:%S",
+)
+logger = logging.getLogger("whisper-bridge")
+
+RVS_HOST = os.getenv("RVS_HOST", "").strip()
+RVS_PORT = int(os.getenv("RVS_PORT", "443"))
+RVS_TLS = os.getenv("RVS_TLS", "true").lower() == "true"
+RVS_TLS_FALLBACK = os.getenv("RVS_TLS_FALLBACK", "true").lower() == "true"
+RVS_TOKEN = os.getenv("RVS_TOKEN", "").strip()
+
+WHISPER_MODEL = os.getenv("WHISPER_MODEL", "small")
+WHISPER_DEVICE = os.getenv("WHISPER_DEVICE", "cuda")
+WHISPER_COMPUTE_TYPE = os.getenv("WHISPER_COMPUTE_TYPE", "float16")
+WHISPER_LANGUAGE = os.getenv("WHISPER_LANGUAGE", "de")
+
+ALLOWED_MODELS = {"tiny", "base", "small", "medium", "large-v3"}
+
+
+class WhisperRunner:
+    """Haelt das Whisper-Modell. Hot-Swap bei Konfig-Wechsel via ensure_loaded()."""
+
+    def __init__(self) -> None:
+        self.model_size: str = WHISPER_MODEL
+        self.model: Optional[WhisperModel] = None
+        self._lock = asyncio.Lock()
+
+    def _load_blocking(self, size: str) -> None:
+        logger.info(
+            "Lade Whisper '%s' (device=%s, compute=%s)",
+            size, WHISPER_DEVICE, WHISPER_COMPUTE_TYPE,
+        )
+        t0 = time.time()
+        self.model = WhisperModel(
+            size, device=WHISPER_DEVICE, compute_type=WHISPER_COMPUTE_TYPE,
+        )
+        self.model_size = size
+        logger.info("Whisper '%s' geladen in %.1fs", size, time.time() - t0)
+
+    async def ensure_loaded(self, desired_size: str) -> None:
+        if desired_size not in ALLOWED_MODELS:
+            logger.warning("Ungueltiges Whisper-Modell '%s' — nutze %s", desired_size, WHISPER_MODEL)
+            desired_size = WHISPER_MODEL
+        async with self._lock:
+            if self.model is not None and self.model_size == desired_size:
+                return
+            loop = asyncio.get_event_loop()
+            await loop.run_in_executor(None, self._load_blocking, desired_size)
+
+    async def transcribe(self, audio: np.ndarray, language: str) -> tuple[str, float]:
+        if self.model is None:
+            return "", 0.0
+
+        def _run():
+            segments, info = self.model.transcribe(
+                audio, language=language, beam_size=5, vad_filter=True,
+            )
+            text = " ".join(seg.text.strip() for seg in segments)
+            return text, info.duration
+
+        loop = asyncio.get_event_loop()
+        return await loop.run_in_executor(None, _run)
+
+
+def ffmpeg_to_float32(audio_b64: str, mime_type: str) -> np.ndarray:
+    """Dekodiert beliebiges Audio-Format → 16kHz mono float32 PCM."""
+    if "mp4" in mime_type or "m4a" in mime_type or "aac" in mime_type:
+        ext = ".mp4"
+    elif "wav" in mime_type:
+        ext = ".wav"
+    elif "ogg" in mime_type or "opus" in mime_type:
+        ext = ".ogg"
+    else:
+        ext = ".bin"
+
+    in_fh = tempfile.NamedTemporaryFile(suffix=ext, delete=False)
+    try:
+        in_fh.write(base64.b64decode(audio_b64))
+        in_fh.close()
+        out_path = in_fh.name + ".raw"
+        cmd = ["ffmpeg", "-y", "-i", in_fh.name, "-ar", "16000", "-ac", "1", "-f", "f32le", out_path]
+        result = subprocess.run(cmd, capture_output=True, timeout=30)
+        if result.returncode != 0:
+            logger.error("FFmpeg Fehler: %s", result.stderr.decode(errors="replace")[:300])
+            return np.zeros(0, dtype=np.float32)
+        try:
+            return np.fromfile(out_path, dtype=np.float32)
+        finally:
+            try:
+                os.unlink(out_path)
+            except OSError:
+                pass
+    finally:
+        try:
+            os.unlink(in_fh.name)
+        except OSError:
+            pass
+
+
+async def _send(ws, mtype: str, payload: dict) -> None:
+    try:
+        await ws.send(json.dumps({
+            "type": mtype,
+            "payload": payload,
+            "timestamp": int(time.time() * 1000),
+        }))
+    except Exception as e:
+        logger.warning("Send fehlgeschlagen (%s): %s", mtype, e)
+
+
+async def handle_stt_request(ws, payload: dict, runner: WhisperRunner) -> None:
+    request_id = payload.get("requestId", "")
+    audio_b64 = payload.get("audio", "")
+    mime_type = payload.get("mimeType", "audio/mp4")
+    model = payload.get("model") or WHISPER_MODEL
+    language = payload.get("language") or WHISPER_LANGUAGE
+
+    if not audio_b64:
+        await _send(ws, "stt_response", {"requestId": request_id, "error": "no-audio"})
+        return
+
+    try:
+        t_load = time.time()
+        await runner.ensure_loaded(model)
+        load_ms = int((time.time() - t_load) * 1000)
+
+        audio = ffmpeg_to_float32(audio_b64, mime_type)
+        if audio.size == 0:
+            await _send(ws, "stt_response", {"requestId": request_id, "error": "ffmpeg-failed"})
+            return
+        duration_s = len(audio) / 16000.0
+        logger.info("STT-Request: %.1fs Audio, model=%s, lang=%s", duration_s, runner.model_size, language)
+
+        t_stt = time.time()
+        text, detected_duration = await runner.transcribe(audio, language)
+        stt_ms = int((time.time() - t_stt) * 1000)
+
+        logger.info("STT-Ergebnis (%dms): '%s'", stt_ms, text[:100])
+
+        await _send(ws, "stt_response", {
+            "requestId": request_id,
+            "text": text.strip(),
+            "durationS": duration_s,
+            "sttMs": stt_ms,
+            "loadMs": load_ms,
+            "model": runner.model_size,
+        })
+    except Exception as e:
+        logger.exception("STT-Request fehlgeschlagen")
+        await _send(ws, "stt_response", {
+            "requestId": request_id,
+            "error": str(e)[:200],
+        })
+
+
+async def _broadcast_status(ws, state: str, **extra) -> None:
+    """Sendet service_status fuer das Whisper-Modul.
+    state: 'loading' | 'ready' | 'error'."""
+    payload = {"service": "whisper", "state": state}
+    payload.update(extra)
+    await _send(ws, "service_status", payload)
+
+
+async def run_loop(runner: WhisperRunner) -> None:
+    use_tls = RVS_TLS
+    retry_s = 2
+    tls_fallback_tried = False
+
+    while True:
+        scheme = "wss" if use_tls else "ws"
+        url = f"{scheme}://{RVS_HOST}:{RVS_PORT}/ws?token={RVS_TOKEN}"
+        masked = url.replace(RVS_TOKEN, "***") if RVS_TOKEN else url
+        try:
+            logger.info("Verbinde zu RVS: %s", masked)
+            async with websockets.connect(url, ping_interval=20, ping_timeout=10) as ws:
+                logger.info("RVS verbunden")
+                retry_s = 2
+                tls_fallback_tried = False
+
+                # Modell laden, dabei loading→ready broadcasten
+                async def _load_with_status():
+                    if runner.model is not None:
+                        await _broadcast_status(ws, "ready", model=runner.model_size)
+                        return
+                    await _broadcast_status(ws, "loading", model=WHISPER_MODEL)
+                    try:
+                        t0 = time.time()
+                        await runner.ensure_loaded(WHISPER_MODEL)
+                        elapsed = time.time() - t0
+                        await _broadcast_status(ws, "ready",
+                                                model=runner.model_size,
+                                                loadSeconds=elapsed)
+                    except Exception as e:
+                        await _broadcast_status(ws, "error", error=str(e)[:200])
+                asyncio.create_task(_load_with_status())
+
+                async for raw in ws:
+                    try:
+                        msg = json.loads(raw)
+                    except Exception:
+                        continue
+                    mtype = msg.get("type", "")
+                    payload = msg.get("payload", {}) or {}
+
+                    if mtype == "stt_request":
+                        req_id = payload.get("requestId", "?")
+                        audio_len = len(payload.get("audio", ""))
+                        logger.info("stt_request empfangen (id=%s, %dKB Audio)",
+                                    req_id[:8] if req_id != "?" else "?", audio_len // 1365)
+                        asyncio.create_task(handle_stt_request(ws, payload, runner))
+                    elif mtype == "config":
+                        new_model = payload.get("whisperModel")
+                        if new_model and new_model != runner.model_size:
+                            logger.info("Config-Broadcast: Whisper-Modell -> %s", new_model)
+                            async def _swap_with_status(target):
+                                await _broadcast_status(ws, "loading", model=target)
+                                try:
+                                    t0 = time.time()
+                                    await runner.ensure_loaded(target)
+                                    elapsed = time.time() - t0
+                                    await _broadcast_status(ws, "ready",
+                                                            model=runner.model_size,
+                                                            loadSeconds=elapsed)
+                                except Exception as e:
+                                    await _broadcast_status(ws, "error", error=str(e)[:200])
+                            asyncio.create_task(_swap_with_status(new_model))
+                    else:
+                        # Alle anderen Nachrichten debug-loggen — hilft beim Diagnostizieren,
+                        # ob stt_request ueberhaupt durch den RVS kommt
+                        logger.debug("Unbeachteter Type: %s", mtype)
+        except Exception as e:
+            logger.warning("Verbindung verloren: %s", e)
+            if use_tls and RVS_TLS_FALLBACK and not tls_fallback_tried:
+                logger.info("TLS-Verbindung fehlgeschlagen — Fallback auf ws://")
+                use_tls = False
+                tls_fallback_tried = True
+                continue
+            await asyncio.sleep(min(retry_s, 30))
+            retry_s = min(retry_s * 2, 30)
+
+
+async def main() -> None:
+    if not RVS_HOST:
+        logger.error("RVS_HOST ist nicht gesetzt — Abbruch")
+        sys.exit(1)
+    runner = WhisperRunner()
+    await run_loop(runner)
+
+
+if __name__ == "__main__":
+    try:
+        asyncio.run(main())
+    except KeyboardInterrupt:
+        sys.exit(0)

xtts/whisper/requirements.txt

@@ -0,0 +1,4 @@
+faster-whisper==1.0.3
+websockets>=12.0
+numpy>=1.24
+requests>=2.31