feat: Jarvis v2 - CPU optimized always-listening for iMac Ubuntu

- PipeWire/pw-record backend (no PortAudio needed) - tested mic live
- VAD: Energy (immediate) + Silero (torch CPU) switchable
- Wakeword: openWakeWord TFLite hey_jarvis 0.4
- STT: faster-whisper base int8 CPU - model loads OK on i3
- SpeakerID: ECAPA embeddings + fallback stats, enrollment store
- Vision: OpenCV Haar + face_recognition + webcam cam0 640x480 verified
- LLM: ollama/qwen2.5:3b, gemini_cli, hermes_api, echo strategies
- TTS: Piper + espeak + echo fallbacks
- Core pipeline: IDLE -> WAKE -> RECORDING -> STT -> SpeakerID/FaceID fusion -> LLM -> TTS -> followup window
- Config via jarvis.yaml, soul.md persona
- CLI tools: run, devices, enroll-speaker, enroll-face, test-vad, test-mic
- Systemd user service ready
- Tested on iMac 2010 i3 550 15GB Ubuntu 26.04 CPU-only

jarvis/config.py

@@ -0,0 +1,28 @@
+import yaml, os
+from pathlib import Path
+from typing import Any, Dict, Optional
+
+def load_config(path: Optional[Path] = None) -> Dict[str, Any]:
+    default = Path(__file__).parent.parent / "jarvis.yaml"
+    example = Path(__file__).parent.parent / "jarvis.yaml.example"
+    if path is None:
+        if default.exists():
+            path = default
+        elif example.exists():
+            path = example
+        else:
+            return {}
+    path = Path(path)
+    if not path.exists():
+        return {}
+    with open(path, 'r') as f:
+        return yaml.safe_load(f) or {}
+
+def get_nested(cfg: dict, dotted: str, default=None):
+    cur = cfg
+    for part in dotted.split('.'):
+        if isinstance(cur, dict) and part in cur:
+            cur = cur[part]
+        else:
+            return default
+    return cur