feat(stt): cadrage + squelette assistant vocal Jarvis

Conception validée du projet STT — assistant vocal/HUD du homelab Funk :
- HUD web sur-mesure + STT/TTS local (faster-whisper + Piper)
- Packaging commande pipx (stt), démarrage auto systemd --user
- Cerveau 3 modes + auto-détection LAN : hermes / local-direct / claude-direct
- Mémoire 3 tiers : SQLite local + Qdrant s01 + GitHub (distillée, versionnée)

Réutilise tools/hermes-voice, LiteLLM, Hermes Agent. Squelette + doc admin/ia/stt.md,
implémentation par phases (roadmap dans le doc).

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_013FmcxGsyXZXogiAHQLjnZT

stt/pyproject.toml

@@ -0,0 +1,30 @@
+[project]
+name = "stt"
+version = "0.0.1"
+description = "STT — assistant vocal Jarvis du homelab Funk (voix + HUD + Hermes/Claude)"
+requires-python = ">=3.11"
+readme = "README.md"
+
+# Réutilise les dépendances éprouvées de tools/hermes-voice + ajouts STT
+dependencies = [
+    "faster-whisper>=1.0.0",   # STT local
+    "sounddevice>=0.4.6",      # capture micro
+    "numpy>=1.24.0",
+    "requests>=2.31.0",        # appels Hermes / LiteLLM
+    "webrtcvad-wheels>=2.0.10",# VAD / wake word
+    "websockets>=12.0",        # backend ↔ HUD
+    "anthropic>=0.40.0",       # mode claude-direct (hors-LAN)
+    "qdrant-client>=1.13.0",   # mémoire tier s01
+    "tomli-w>=1.0.0",          # écriture config TOML
+]
+
+[project.scripts]
+stt = "stt.cli:main"
+
+[build-system]
+requires = ["setuptools>=68"]
+build-backend = "setuptools.build_meta"
+
+[tool.setuptools.packages.find]
+where = ["."]
+include = ["stt*"]