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e81d5d02b1 Keep terminal CJK text unchanged after returning to a workspace (#6452 )

* fix(app): restore terminal surface after tab hide so CJK cells redraw

Retained panels use display:none. Coming back remasured without treating
that as a surface restore, so Hangul kept 2-cell slots while glyphs painted
at ~1 cell (extra gap). Reload WebGL if the context was lost and force a
refresh when the host grows from zero.

Closes #3434

* fix(server): keep wide-char continuation cells out of terminal snapshots

Wide chars (CJK) occupy two xterm cells, and the second cell reports no
chars. The snapshot capture collapsed that empty continuation to " ", so
every restored Hangul syllable took three columns instead of two. The
injected space was real: selecting and copying the restored row carried
it into the clipboard.

Capture the continuation as "" and have renderTerminalSnapshotToAnsi
skip it. No schema change; snapshots from older daemons still replay
verbatim.

* fix(app): restore retained terminals on presentation

Co-authored-by: seob717 <dev.seob717@gmail.com>

* fix(terminal): limit restoration changes to confirmed CJK corruption

Keep the independently reproduced snapshot fix. Surface recovery behavior remains unverified and belongs with the broader viewport report. Dispose the replay terminal after the regression test.

---------

Co-authored-by: Jason <mildreins@gmail.com>
Co-authored-by: seob717 <dev.seob717@gmail.com>
Co-authored-by: liujin0506 <liujin0506@qq.com>
Co-authored-by: paseo-bot[bot] <266920839+paseo-bot[bot]@users.noreply.github.com>

2026-10-10 13:27:04 +02:00

scripts

Keep the daemon running when nobody reads its output (#6117 )

2026-10-05 15:57:59 +02:00

src

Keep terminal CJK text unchanged after returning to a workspace (#6452 )

2026-10-10 13:27:04 +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

Speed up cold diffs and wrapped text measurement (#4676 )

2026-09-11 08:07:01 +02:00

package.json

fix(ios): address clipped chat and Markdown text (#6445 )

2026-10-09 16:35:43 +01:00

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