router: deutsche Spracherkennung mit whisper.cpp (CPU-only)

- STT-Worker (stt_worker.py): langlebiger HTTP-Service auf Port 8084
  - whisper-cli als Subprozess (CPU-only, 8 Threads)
  - Audio-Vorbereitung via ffmpeg (WebM/Opus/M4A → 16 kHz WAV)
  - Nativ: WAV, MP3, OGG, FLAC
  - Health-Endpunkt: GET /status
  - Transkription: POST /transcribe (Multipart-Form-Data)

- Router-Integration:
  - POST /v1/audio/transcriptions (OpenAI-kompatibel)
  - GET /v1/audio/models (whisper-1, kokoro-german)
  - GET /v1/audio/voices (martin, victoria)
  - /status mit stt-Section
  - model=whisper-1 akzeptiert
  - response_format: json, verbose_json

- systemd-Service: mike-ai-whisper.service
  - Boot-Start, Restart on failure, journald
  - CPU-only, kein GPU-Lock

- Deploy-Dateien aktualisiert (deploy.sh, install.sh)
- Mock-STT-Worker für lokale Tests (dev/mock_stt_worker.py)
- Tests ergänzt: STT Status, WAV, language=de, unbekanntes Modell,
  Worker down, Recovery, Audio-Modelle, Audio-Voices,
  STT+Qwen parallel, STT+TTS parallel
- README.md: STT-Section mit Endpunkten, Benchmarks, Doku

Benchmarks (CPU-only, 8 Threads):
  7.3 s Audio → 8.9 s (RTF 1.22×)
  30 s Audio → 16.8 s (RTF 0.56×)
  50 s Audio → 18.5 s (RTF 0.37×)
  RAM: ~1.7 GB (Modell), Worker: ~20 MB

deploy/deploy.sh

@@ -10,8 +10,9 @@ STAGE="/tmp/ai-profile-router-$$"
 
 mkdir -p "$STAGE"
 cp router/ai_profile_router.py router/image_worker.py router/tts_worker.py \
+   router/stt_worker.py \
    deploy/install.sh deploy/mike-ai-profile-router.service \
-   deploy/mike-ai-kokoro.service "$STAGE/"
+   deploy/mike-ai-kokoro.service deploy/mike-ai-whisper.service "$STAGE/"
 
 echo "== Übertrage Dateien nach ${TARGET}:/tmp/ai-profile-router/"
 ssh -i "$SSH_KEY" "$TARGET" 'mkdir -p /tmp/ai-profile-router'

deploy/install.sh

@@ -10,6 +10,7 @@ DIR="$(cd "$(dirname "$0")" && pwd)"
 INSTALL_DIR=/opt/mike-ai/ai-profile-router
 SERVICE=mike-ai-profile-router.service
 KOKORO_SERVICE=mike-ai-kokoro.service
+WHISPER_SERVICE=mike-ai-whisper.service
 OLD_SERVICE=mike-ai-local-llm-router.service
 OLD_DIR=/opt/mike-ai/local-llm-router
 BACKUP_DIR=/opt/mike-ai/.backup-ai-profile-router-$(date +%Y%m%d-%H%M%S)
@@ -40,8 +41,10 @@ mkdir -p "$INSTALL_DIR" "$IMAGE_DIR"
 install -m 0755 "$DIR/ai_profile_router.py" "$INSTALL_DIR/ai_profile_router.py"
 install -m 0755 "$DIR/image_worker.py" "$INSTALL_DIR/image_worker.py"
 install -m 0755 "$DIR/tts_worker.py" "$INSTALL_DIR/tts_worker.py"
+install -m 0755 "$DIR/stt_worker.py" "$INSTALL_DIR/stt_worker.py"
 install -m 0644 "$DIR/${SERVICE}" "/etc/systemd/system/${SERVICE}"
 install -m 0644 "$DIR/${KOKORO_SERVICE}" "/etc/systemd/system/${KOKORO_SERVICE}"
+install -m 0644 "$DIR/${WHISPER_SERVICE}" "/etc/systemd/system/${WHISPER_SERVICE}"
 
 # --- 3. Python-Venv mit Bild-Abhängigkeiten ---------------------------------
 if [ ! -x "$VENV/bin/python" ]; then
@@ -134,8 +137,9 @@ fi
 
 # --- 6. Services aktivieren und starten ---------------------------------------
 systemctl daemon-reload
-systemctl enable "$SERVICE" "$KOKORO_SERVICE"
+systemctl enable "$SERVICE" "$KOKORO_SERVICE" "$WHISPER_SERVICE"
 systemctl restart "$KOKORO_SERVICE"
+systemctl restart "$WHISPER_SERVICE"
 systemctl restart "$SERVICE"
 
 # --- 7. Verifikation ----------------------------------------------------------
@@ -152,5 +156,11 @@ if ! systemctl is-active --quiet "$KOKORO_SERVICE"; then
   exit 1
 fi
 echo "-- Kokoro-Service läuft"
+if ! systemctl is-active --quiet "$WHISPER_SERVICE"; then
+  echo "-- FEHLER: Whisper-Service läuft nicht" >&2
+  journalctl -u "$WHISPER_SERVICE" -n 20 --no-pager >&2
+  exit 1
+fi
+echo "-- Whisper-Service läuft"
 curl -sf "http://127.0.0.1:8081/status" | python3 -m json.tool
 echo "== Fertig =="

deploy/mike-ai-whisper.service

@@ -0,0 +1,25 @@
+[Unit]
+Description=Whisper STT Worker (deutsche Spracherkennung, CPU-only)
+After=network.target
+
+[Service]
+Type=simple
+User=root
+WorkingDirectory=/opt/mike-ai/ai-profile-router
+Environment=WHISPER_HOST=127.0.0.1
+Environment=WHISPER_PORT=8084
+Environment=WHISPER_CLI=/opt/mike-ai/whisper.cpp/build-cpu/bin/whisper-cli
+Environment=WHISPER_MODEL=/opt/mike-ai/models/whisper/ggml-large-v3-turbo.bin
+Environment=WHISPER_THREADS=8
+Environment=WHISPER_LANGUAGE=de
+Environment=FFMPEG_BIN=/usr/bin/ffmpeg
+Environment=LOG_LEVEL=INFO
+ExecStart=/usr/bin/python3 /opt/mike-ai/ai-profile-router/stt_worker.py
+Restart=always
+RestartSec=5
+# CPU-only: keine GPU-Bindung, keine VRAM-Belegung
+StandardOutput=journal
+StandardError=journal
+
+[Install]
+WantedBy=multi-user.target