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* feat(providers): render images Claude Code emits instead of base64 Claude returns images as base64 blocks inside tool_result content; they were dumped into the tool output as a wall of raw base64 text. Materialize them to a temp file and emit an assistant_message markdown image — the path Codex already uses — so the client fetches the bytes over the existing WebSocket binary-frame channel. No protocol or client change; assistant_message is an existing type. Also strips the base64 out of the failed-tool-call error field, and widens the Claude history-replay filter so the image survives reload. Collapses the image writer Codex had duplicated twice into one shared materializeProviderImage. * fix(providers): match only materialized image paths in the history filter The history-replay filter recognized a provider image by a leading "![". Review flagged that user-authored text starting with an image-markdown pointing at the attachments dir could then replay as assistant output. Tighten the predicate to the content-hashed <sha256>.<ext> shape the writer actually emits, so only materialized images pass. * fix(providers): handle Windows paths in the image-markdown predicate On Windows the materialized image path uses backslash separators, and escapeMarkdownImageSource doubles each backslash in the markdown source. The history-replay predicate matched a single separator, so on a Windows daemon the image was dropped on reload; the test path assertions failed for the same reason. Allow one-or-more separators in the predicate, unescape the source in the test helper, and add a Windows-path case to the predicate test.
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