mirror of https://github.com/getpaseo/paseo.git synced 2026-10-23 01:32:40 +00:00

Files

T

Mohamed Boudra 02e611f3dd Hide empty ACP sessions from session import (#4335 )

* fix(server): filter empty ACP import sessions

ACP metadata probes can leave persisted sessions that later appear in import results. Replay available session history to exclude truly empty entries while retaining sessions whose history is unavailable, and close probe sessions before process teardown.

* fix(server): bound ACP session history loading

Keep import enrichment inside the provider listing deadline when session histories are inaccessible. Catalog abort cleanup now also waits briefly for an in-flight session creation so the resulting probe session can be closed.

* test(server): avoid wall-clock ACP assertion

Verify the history budget through the number of attempted protocol loads instead of elapsed process time, so scheduler delays cannot make the regression flaky.

* fix(server): allow slower ACP history loads

Give native session history more time to replay while retaining a shared enrichment budget below the provider listing deadline.

* fix(server): give ACP history replay enough time

Use the provider RPC timeout scale for native history loading, with a larger shared budget and provider-list deadline. Keep timeout coverage fast and deterministic with a controlled clock.

* fix(server): isolate generous ACP import deadlines

Keep the long listing deadline for the picker’s single-provider requests while preserving the short aggregate deadline for callers that fan out across providers. Restore deterministic coverage of unresolved history loads through fake timers and an injected clock boundary.

* fix(server): preserve ACP aggregate listings

2026-09-05 11:29:56 +02:00

scripts

Fix graceful daemon shutdown on Windows (#4168 )

2026-09-01 19:59:03 +02:00

src

Hide empty ACP sessions from session import (#4335 )

2026-09-05 11:29:56 +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

feat(plugins): split client and server plugin entries (#4206 )

2026-09-02 19:11:45 +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

2026-08-02 00:56:05 +08:00

tsconfig.server.typecheck.json

Fix repo typecheck failures

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

vitest.config.ts

Launch a terminal instead of a chat from New workspace (#2941 )

2026-08-07 14:08:22 +08:00

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