Files
paseo/packages/server
b19db9537c fix(server): summarise Claude AskUserQuestion permission notifications (#2925)
* fix(server): summarise Claude AskUserQuestion permission notifications

Claude's handlePermissionRequest never set title or description on the
AgentPermissionRequest it emits, so buildPermissionDetails fell through to
serialising request.input. For AskUserQuestion that input is the whole question
object, and the push and in-app notifications both showed truncated JSON.

Summarise the first question the way the OMP and Pi providers already do for
their ask_user permissions: title is the question text, description is the
option labels. request.input is untouched, so the permission UI keeps rendering
the full payload.

Closes #2612

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01FWY2Xdowxr562GXFdxPhjZ

* test(server): assert question permissions through the emitted request

Greptile flagged that the suite imported a production helper that was only
exported for the test, which leaves an unnecessary public export behind and
couples the tests to implementation structure.

The helper is module-private again, and every case now asserts on the
permission request the session emits and the notification body built from it.
Added a case pinning request.input so the permission UI payload stays covered,
and one for a non-question tool.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01FWY2Xdowxr562GXFdxPhjZ

---------

Co-authored-by: Claude Opus 5 (1M context) <noreply@anthropic.com>
2026-08-08 21:28:21 +02:00
..
2026-05-28 01:58:18 +08:00
2026-08-08 10:56:30 +02:00
2026-04-23 21:44:48 +07:00

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:

  1. Start servers: npm run dev
  2. Open http://localhost:5173
  3. Test WebSocket connection (green status indicator)
  4. Click "Send Ping" button to test communication

More testing guidance as features are implemented.

License

MIT