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* fix(server): surface Kiro CLI slash commands and skills over ACP Kiro CLI advertises its slash commands and skills through the `_kiro.dev/commands/available` ACP extension notification rather than the standard `available_commands_update` session update. ACPAgentSession only trace-logged extension notifications and dropped the payload, so the composer never showed any Kiro commands or skills. - Map the extension payload onto the shared slash-command cache: `commands` (built-in, names arrive with a leading "/") and `prompts` (skills/prompts, tagged with a `skill:` serverName) are normalized to Paseo's AgentSlashCommand shape, stripping the leading slash and pulling the argument hint from `meta.hint`. - Add KiroACPAgentClient (mirrors CursorACPAgentClient) so the provider waits for the first async command batch before listCommands() resolves, since Kiro emits the notification shortly after session/new. * fix(server): settle on empty Kiro batch; inject Kiro commands via constructor option Addresses review feedback on #1792. Keep vendor-specific providers out of the generic acp-agent.ts, following the same pattern as Cursor/Copilot: provider behavior is injected through ACPAgentClient constructor options rather than special-cased in the base class. Adds an optional extensionCommandsParser option on the generic ACP client/session; the base extNotification() invokes it and routes any parsed commands through a generic applyResolvedCommands() helper. Kiro supplies parseKiroExtensionCommands (recognizes _kiro.dev/commands/available); the base class no longer references any Kiro method string or payload shape. Also fixes an empty-batch hang: applyResolvedCommands() always settles the initial-commands gate, so a Kiro user with no slash commands no longer blocks listCommands() for the full 10s timeout. Adds a regression 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