Dockerize: one-command stack with auto Ollama model pull

`docker compose up -d --build` now brings up the whole thing automatically —
no host setup needed:

- All-in-one javis image: TigerVNC+XFCE desktop, Chrome, Python brain bridge,
  Node/bun bot, managed by supervisord (verified: all 6 programs RUNNING).
- ollama service + one-shot ollama-init that auto-pulls chat+embed models
  (verified end-to-end; `ollama list` shows pulled models).
- Discord token deferred: without DISCORD_BOT_TOKEN the desktop, bridge,
  Ollama and models all run; only the bot waits (no crash loop).
- Slim container deps (bridge/requirements-bridge.txt) drop the unused
  PyQt6/torch/chatterbox/sounddevice stack. Piper voice + Whisper models
  auto-download into named volumes.
- Configurable host ports (VNC_PORT/NOVNC_PORT/BRIDGE_PORT) to avoid clashing
  with a host VNC already on 5901. Bridge binds 0.0.0.0 in-container.

Verified: image builds; brain imports; bridge /health 200; noVNC 200;
X display :1 @1920x1080; auto-pull completes; supervisorctl status all RUNNING.

docker-compose.yml

@@ -0,0 +1,84 @@
+# ============================================================================
+# Javis Bot — Docker Compose
+#   ollama      : the LLM backend for the jarvis brain
+#   ollama-init : one-shot, auto-pulls the chat + embed models on startup
+#   javis       : all-in-one container (VNC desktop + Chrome + bridge + bot)
+#
+# Just bring it up — everything (incl. Ollama models) comes up automatically:
+#   docker compose up -d --build
+#
+# The Discord token can be added LAST: without it the desktop, brain bridge,
+# Ollama and models all run; only the bot waits. Then put DISCORD_BOT_TOKEN in
+# .env and re-run `docker compose up -d`.
+#
+# Watch the desktop:  VNC viewer -> localhost:5901  (or browser -> localhost:6080)
+# ============================================================================
+services:
+  ollama:
+    image: ollama/ollama:latest
+    restart: unless-stopped
+    volumes:
+      - ollama_models:/root/.ollama
+    # --- GPU (optional): needs nvidia-container-toolkit on the host ---
+    # deploy:
+    #   resources:
+    #     reservations:
+    #       devices:
+    #         - driver: nvidia
+    #           count: all
+    #           capabilities: [gpu]
+
+  # Auto-pull the models the brain needs, then exit. Idempotent (re-runnable).
+  ollama-init:
+    image: ollama/ollama:latest
+    depends_on:
+      - ollama
+    restart: "no"
+    environment:
+      OLLAMA_HOST: http://ollama:11434
+      CHAT_MODEL: ${OLLAMA_CHAT_MODEL:-llama3.1:8b}
+      EMBED_MODEL: ${OLLAMA_EMBED_MODEL:-nomic-embed-text}
+    entrypoint: ["/bin/sh", "-c"]
+    command:
+      - |
+        echo "[ollama-init] waiting for ollama server...";
+        until ollama list >/dev/null 2>&1; do sleep 2; done;
+        echo "[ollama-init] pulling $$CHAT_MODEL";
+        ollama pull "$$CHAT_MODEL";
+        echo "[ollama-init] pulling $$EMBED_MODEL";
+        ollama pull "$$EMBED_MODEL";
+        echo "[ollama-init] models ready.";
+
+  javis:
+    build: .
+    restart: unless-stopped
+    env_file:
+      - path: .env
+        required: false
+    environment:
+      # Point the brain at the ollama service and the bot at the in-container bridge.
+      OLLAMA_BASE_URL: http://ollama:11434
+      OLLAMA_CHAT_MODEL: ${OLLAMA_CHAT_MODEL:-llama3.1:8b}
+      OLLAMA_EMBED_MODEL: ${OLLAMA_EMBED_MODEL:-nomic-embed-text}
+      WHISPER_MODEL: ${WHISPER_MODEL:-small}
+      BRIDGE_URL: http://127.0.0.1:8765
+    depends_on:
+      - ollama
+    shm_size: "1gb"          # Chrome needs a larger /dev/shm
+    ports:
+      # Host ports are overridable. If the HOST already runs VNC on 5901
+      # (see docs/vnc-xfce-setup.md), set VNC_PORT=5902 in .env.
+      - "${VNC_PORT:-5901}:5901"      # VNC
+      - "${NOVNC_PORT:-6080}:6080"    # noVNC (open in a browser)
+      - "${BRIDGE_PORT:-8765}:8765"   # brain bridge (usually internal-only)
+    volumes:
+      - javis_data:/data                         # jarvis db + memory
+      - whisper_cache:/root/.cache/huggingface   # cached Whisper models
+      - piper_voices:/opt/piper-voices           # TTS voices
+    # --- GPU (optional): mirror the ollama GPU block above to accelerate Whisper ---
+
+volumes:
+  ollama_models:
+  javis_data:
+  whisper_cache:
+  piper_voices: