mirror of https://github.com/getpaseo/paseo.git synced 2026-07-29 12:01:31 +00:00

Files

Michael Wu cbbf6c1684 Carry local files and shared state into new worktrees (#2419 )

* feat(server): support symlink worktree includes

* refactor(server): simplify worktree include handling

* fix(server): constrain worktree include traversal

* fix(server): clean up failed worktree branches

* fix(server): skip missing worktree include entries

* fix(server): make worktree includes best effort

* fix(server): skip failed worktree includes

* fix(server): harden worktree include planning

* fix(server): preserve reused worktree result shape

Materialization reports describe one creation attempt, not durable worktree identity. Carry them beside the worktree so newly created and reused results keep the same stable shape.

* fix(server): harden worktree include boundaries

Replace directory snapshots exactly, keep canonical Git metadata protected, report recovery skips, and only roll back branches owned before worktree creation.

* fix(server): follow safe include aliases

Traverse canonical in-checkout directory links during glob planning and treat coded revalidation failures as per-entry skips.

* fix(server): make include preflight race safe

Create fetched checkout refs atomically, retain overlapping copy entries for independent fallback, and protect the full managed-worktree base.

* fix(server): preserve staged recovery state

Validate completed directory snapshots, retain backups after failed restoration, and derive atomic ref guards from the repository object ID width.

* fix(server): preserve partial include progress

Keep safe glob matches, enforce recursive-directory types, validate staged roots, and retain OID guards through rollback.

---------

Co-authored-by: Mohamed Boudra <boudra.moha@gmail.com>

2026-07-28 03:18:40 +02:00

scripts

Recover desktop startup from stale daemon locks

2026-07-15 15:48:09 +02:00

src

Carry local files and shared state into new worktrees (#2419 )

2026-07-28 03:18:40 +02:00

.env.example

Use separate OpenAI endpoints for speech-to-text and text-to-speech (#1823 )

2026-06-30 10:00:27 +02:00

.gitignore

server(codex): normalize file paths, truncate large diffs, and drop turn/diff/updated telemetry

2026-02-06 11:51:59 +07:00

AGENTS.md

refactor(agent): add wait_for_agent tool and simplify prompt sending API

2025-11-03 11:47:15 +01:00

CLAUDE.md

Extract client SDK package (#1052 )

2026-05-28 01:58:18 +08:00

package.json

chore(release): cut 0.2.3

2026-07-27 19:46:38 +02:00

README.md

chore: reformat codebase with oxfmt

2026-04-23 21:44:48 +07:00

tsconfig.scripts.json

Align script TypeScript lib with server build

2026-05-05 18:54:29 +07:00

tsconfig.server.json

Move terminal sessions to worker process

2026-04-30 22:35:22 +07:00

tsconfig.server.typecheck.json

Fix repo typecheck failures

2025-11-15 20:17:47 +01:00

vitest.config.ts

Key workspace status and ownership by ID, not directory

2026-06-16 13:37:58 +07:00

README.md

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