mirror of https://github.com/getpaseo/paseo.git synced 2026-10-30 21:23:04 +00:00

Files

T

Desmond ChaiandMohamed Boudra a1ed5a8bad Stop PR status polling from rate-limiting your entire GitHub account (#3825 )

* Batch GitHub PR status polls into aliased GraphQL requests

The PR status poller ran one `gh pr view` (GraphQL-backed) plus a
per-PR facts query for every workspace on its own timer, so cost
scaled linearly with workspace count and exhausted the 5,000 pts/hour
GraphQL quota machine-wide past ~50 workspaces (#3587, #2470).

Replace the per-target timers with a global scheduler that snaps poll
targets to a shared 5s grid and flushes all due targets together:

- One aliased discovery query per batch of up to 25 targets (grouped
  by GH host) resolves PR identity, state, mergeability, and the merge
  facts that previously required a second GraphQL call per PR.
- A second aliased query fetches statusCheckRollup contexts only for
  the PRs that matched. Checks for merged/closed PRs are frozen and
  cached by repo#number@headOid, so idle workspaces settle to the
  discovery query alone.
- A failed batch backs off every target in it with one request spent;
  healthy aliases are recovered from the body gh still prints on
  stdout when a single alias errors (ForgeCommandError now carries
  stdout for this).
- Targets whose origin slug/host is still resolving, and fork repos
  whose PR lives in the parent, fall back to the legacy per-target
  path for that cycle. Unowned lookups filter out other forks' PRs
  that share a branch name.

Fixes #3587. Addresses the API budget in #2470.

* fix(server): reserve the shared GitHub polling budget

---------

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

2026-08-28 11:29:34 +02:00

scripts

Preserve daemon sessions when workers stall (#3263 )

2026-08-12 10:58:58 +02:00

src

Stop PR status polling from rate-limiting your entire GitHub account (#3825 )

2026-08-28 11:29:34 +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 0.7.0-beta.1

2026-08-27 19:42:09 +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