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* fix(omp): limit thinking levels to model's reported efforts The omp provider exposed all six thinking levels (off/minimal/low/ medium/high/xhigh) whenever a model had reasoning enabled, ignoring the per-model thinking config that omp reports via RPC. The OmpModelSchema didn't parse the thinking field at all, so the model's efforts subset and defaultLevel were discarded. Parse model.thinking (efforts/defaultLevel/effortMap) in OmpModelSchema and filter the thinking options in mapOmpModel to only the model's reported efforts. The default is the reported defaultLevel when it's in the filtered set, otherwise the first (lowest) effort. Older omp versions that don't report thinking.efforts keep getting the full set. Also fix createSession to not hardcode 'medium' as the thinking fallback when the client doesn't send a thinkingOptionId — pass undefined so omp uses its own model default instead of overriding it with a level that may not even be in the model's effort set. * test(omp): drop --thinking medium from provider-registry launch assertions The thinking-level filtering PR changed createSession to pass undefined instead of "medium" when no thinking option is selected, so buildOmpLaunch no longer emits --thinking. agent.test.ts was updated but provider-registry.test.ts still expected --thinking medium in two OMP launch assertions, failing server-tests on ubuntu and windows. --------- Co-authored-by: Mohamed Boudra <boudra.moha@gmail.com>
Voice Assistant
A voice-controlled terminal assistant that runs as a single local service.
Quick Start
# Install dependencies
npm install
# Copy environment variables
cp .env.example .env
# Edit .env and add your API keys (OpenAI, Deepgram)
# Run development servers
npm run dev
# Open browser to http://localhost:5173
Architecture
- Express Server (port 3000) - Serves API and built UI in production
- Vite Dev Server (port 5173) - Hot-reload React UI in development
- WebSocket (
/ws) - Real-time bidirectional communication - Agent - STT → LLM → TTS pipeline with terminal control
- Daemon - tmux-based terminal management (in-process)
Development
# Run both servers (recommended)
npm run dev
# Or run separately:
npm run dev:server # Express on port 3000
npm run dev:ui # Vite on port 5173
# Type checking
npm run typecheck
# Build for production
npm run build
# Start production server
npm start
Project Status
✅ Completed (Phases 1-2):
- Package setup and configuration
- Express server with WebSocket
- React UI with Vite
- WebSocket client with ping/pong testing
⏳ In Progress (Phase 3):
- Terminal control (tmux integration)
📋 Planned (Phases 4-9):
- LLM integration (OpenAI GPT-4)
- Agent orchestrator
- Speech-to-Text (Deepgram)
- Text-to-Speech (OpenAI)
- Audio streaming
- UI polish
See IMPLEMENTATION_PLAN.md for complete details.
Environment Variables
OPENAI_API_KEY=your-openai-key-here # GPT-4 and TTS
DEEPGRAM_API_KEY=your-deepgram-key-here # Streaming STT
STT_MODEL=whisper-1 # Optional: override to gpt-4o-transcribe, etc.
STT_CONFIDENCE_THRESHOLD=-3.0 # Optional: reject low-confidence clips
STT_DEBUG_AUDIO_DIR=.stt-debug # Optional: persist raw dictation audio for debugging
PASEO_HOME=~/.paseo # Runtime state directory (agents/, etc.)
PASEO_LISTEN=127.0.0.1:6767 # Listen address (host:port or /path/to/socket)
PASEO_HOME defaults to ~/.paseo and isolates runtime artifacts like agents/. PASEO_LISTEN controls the daemon listen address. For blue/green testing you can run a parallel server without touching production state:
PASEO_HOME=~/.paseo-blue PASEO_LISTEN=127.0.0.1:7777 npm run dev
Tech Stack
- Server: Express, TypeScript, ws (WebSocket)
- Client: React 18, Vite, TypeScript
- Terminal: tmux (via child_process)
- AI: OpenAI (LLM + TTS), Deepgram (STT)
Testing
Currently manual testing via:
- Start servers:
npm run dev - Open http://localhost:5173
- Test WebSocket connection (green status indicator)
- Click "Send Ping" button to test communication
More testing guidance as features are implemented.
License
MIT