Character schema v2: background, dialogue_style, appearance, skills, gaze_presets
with automatic v1→v2 migration. LLM-assisted character creation via Character MCP
server. Two-tier memory system (personal per-character + general shared) with
budget-based injection into LLM system prompt. Per-character TTS voice routing via
state file — Wyoming TTS server reads active config to route between Kokoro (local)
and ElevenLabs (cloud PCM 24kHz). Dashboard: memories page, conversation history,
character profile on cards, auto-TTS engine selection from character config.
Also includes VTube Studio expression bridge and ComfyUI API guide.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Replace faster-whisper with wyoming-mlx-whisper (whisper-large-v3-turbo, MLX Metal GPU)
STT latency: 8.4s → 400ms for short voice commands
- Add Qwen3.5-35B-A3B (MoE, 3B active params, Q8_0) to Ollama — 26.7 tok/s vs 5.4 tok/s (70B)
- Add model preload launchd service to pin voice model in VRAM permanently
- Fix HA tool calling: set commands.native=true, symlink ha-ctl to PATH
- Add pipeline benchmark script (STT/LLM/TTS latency profiling)
- Add service restart buttons and STT endpoint to dashboard
- Bind Vite dev server to 0.0.0.0 for LAN access
Total estimated pipeline latency: ~27s → ~4s
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix Wyoming satellite crash on wake word: convert macOS .aiff chimes to .wav
(Python wave module only reads RIFF format, not AIFF)
- Fix OpenClaw HTTP bridge: increase subprocess timeout 30s → 120s, add SO_REUSEADDR
- Fix HA conversation component: use HTTP agent (not CLI) since HA runs in Docker
on a different machine; update default host to Mac Mini IP, timeout to 120s
- Rewrite character manager as Vite+React app with schema validation
- Add Wyoming satellite wake word command, ElevenLabs TTS server, wakeword monitor
- Add Phase 5 development plan
- Update TODO.md: mark voice pipeline and agent tasks complete
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add openclaw-http-bridge.py: HTTP server translating POST requests to OpenClaw CLI calls
- Add launchd plist for HTTP bridge (port 8081, auto-start)
- Add install-to-docker-ha.sh: deploy custom component to Docker HA via SSH
- Add package-for-ha.sh: create distributable tarball of custom component
- Add test-services.sh: comprehensive voice pipeline service checker
Fixes from code review:
- Use OpenClawAgent (HTTP) in async_setup_entry instead of OpenClawCLIAgent
(CLI agent fails inside Docker HA where openclaw binary doesn't exist)
- Update all port references from 8080 to 8081 (HTTP bridge port)
- Remove overly permissive CORS headers from HTTP bridge
- Fix zombie process leak: kill child process on CLI timeout
- Remove unused subprocess import in conversation.py
- Add version field to Kokoro TTS Wyoming info
- Update TODO.md with voice pipeline progress
