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2d9cbb0453
Branch switcher listed remote-only branches as if they were local, then
threw "Branch not found" when clicked because the checkout path only
verified `refs/heads/<name>`. Explicit `origin/<name>` input went the
other way — verify passed, but checkout produced a detached HEAD.
Split the concerns into three layers:
- Enumerate: `listBranchSuggestions` returns provenance (`hasLocal`,
`hasRemote`) so the wire payload no longer loses origin-only info.
Fields are optional on `branchDetails` for backward compat.
- Resolve: new `resolveBranchCheckout` normalizes `origin/<name>` →
`<name>`, verifies explicit `refs/heads/` and `refs/remotes/origin/`
paths (no tag-DWIM), returns a tagged
`{ local | remote-only | not-found }` result. Policy (local wins,
origin fallback) lives here.
- Act: `checkoutExistingBranch` no longer does implicit DWIM. Local →
`git checkout <name>`. Remote-only → `git checkout -b <name> --track
origin/<name>`. Not-found → throws the existing
`Branch not found: <name>` string. Response carries optional
`source: "local" | "remote"`.
`validateBranch` now routes through the same resolver so both paths
agree on what a branch is.
Also fixes a related stale-base diff bug: worktrees created off
`origin/main` could show phantom "added" commits when the local `main`
lagged. `resolveBestComparisonBaseRef` is now origin-first for
diff/status. Merge still uses the "most-ahead" helper so unpublished
local commits aren't lost. `doesGitRefExist` tightened to only swallow
exit 1 (missing ref), propagating other git failures.
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