Files
paseo/packages/server
Mohamed BoudraandGitHub 0d76654ba0 Show activity indicators for terminals and their workspaces (#1507)
* feat: show activity indicators for terminals and their workspaces

A terminal surfaces whether the agent running inside it is working, idle,
or waiting for input as a tab dot, and that state rolls up into the
owning workspace status — so an agent run inside a terminal reads the
same as a native agent. Finishing a turn raises a "Terminal finished"
notification that routes back to the workspace terminal tab.

Activity is reported by the agents, not parsed from terminal output:
Claude and Codex command hooks and an OpenCode plugin post coarse state
to a local daemon endpoint, and a source-agnostic per-terminal tracker
maps it to working/idle/attention. Hook installation is opt-in and off
by default because it edits your real agent config files; enable it under
a host's Terminal settings and Paseo installs the hooks globally, runs
them via `paseo hooks <agent> <event>`, and removes its own hooks when
you opt back out. Installation and reporting are idempotent and
fail-open, so a missing or failing hook never breaks the user's shell.

* Fix terminal activity routing and CI test

Test drift: anchor the provider-leak test to the repo root instead of process.cwd() so it passes under the server workspace CI runner.

Also restore auth-first JSON parsing outside the terminal-activity route and route subdirectory terminal activity to the deepest active workspace.

* Fix workspace resolver regression

Code drift: terminal activity routing needs parent-workspace prefix matching, but agent directory and historical fetches keep exact registered workspace semantics, including archived exact matches.

* Narrow terminal/draft workspace subscriptions to the fields they use

terminal-panel and the draft agent tab subscribed to the whole workspace
descriptor via useWorkspace but read only workspaceDirectory (plus projectKind
in TerminalPanel, plus id in the draft tab), so they re-rendered on any field
change of that workspace (status, diffStat, scripts). Switch them to the
existing useWorkspaceDirectory / useWorkspaceFields hooks so they re-render only
when the fields they actually read change. No behavior change.

* Make TerminalActivity.state forward-compatible

A strict z.enum rejects the whole payload when a newer daemon reports a
terminal activity state this client predates, breaking the protocol's
old-client-parses-new-daemon contract (the activity field has no .catch at
its embedding in messages.ts, so the failure bubbles up). Degrade unknown
states to "idle" (no indicator, no notification) via .catch, matching the
enum-with-catch pattern used elsewhere in the protocol. Add a forward-compat
regression test.
2026-06-14 23:29:14 +08:00
..
2026-05-28 01:58:18 +08:00
2026-04-23 21:44:48 +07:00
2026-05-20 12:14:13 +00:00

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