Files
paseo/packages/server
Christoph Leiter 99440201bd fix(server): show Claude model-scoped weekly usage limits (#2303)
The Claude usage card showed only Session and Weekly. Anthropic moved
model-scoped weekly limits out of the top-level `seven_day_<model>` keys
into a `limits[]` array, and `seven_day_opus` / `seven_day_omelette` now
return null, so the scoped bar silently disappeared. Nothing errored, so
the card looked healthy while under-reporting.

Scoped limits are now read from `limits[]`, restoring a `Weekly · Fable`
bar. Session and all-models weekly keep coming from the top-level keys,
which is also where the Claude CLI reads them from.

A response mid-migration can describe one limit twice, as a legacy key
and as a `limits[]` entry, so both shapes normalize into a single
`ScopedLimit` and one predicate decides whether two are the same limit:
same dimension, same id when both carry one, else same normalized name.
That is the only comparison in the file. Comparing display labels would
conflate a surface with a model of the same name, and collapse ids that
differ only by punctuation.

The `limits[]` entry supplies identity, since that is the shape the API
is migrating towards. Its `percent` and `resets_at` are nullable, so
each field falls back to the legacy twin rather than discarding a value
the response did carry.

Legacy scoped windows adopt the same id scheme, so `weekly_opus` becomes
`weekly_model_opus`. Window ids are internal React keys, not
user-facing, and unifying them is what lets a limit keep one id
whichever shape of the response carried it.

Two supporting changes:

- `limits[]` entries are validated one at a time. The response goes
  through a single parse, so one malformed entry would otherwise throw
  and take the windows that already parsed with it.
- The provider stores the logger it was already handed and warns when a
  response parses but yields no windows, when a scope resolves to no
  name, and when an entry is unparseable. This failure was silent at
  every level, which is why it went unnoticed. Warn rather than debug,
  because file logging defaults to info.

Scoped windows render even at 0% and inactive, so a bar does not appear
and disappear between refreshes.

Closes #2302

Co-authored-by: Claude Opus 4.8 <noreply@anthropic.com>
2026-07-24 21:16:05 +08:00
..
2026-05-28 01:58:18 +08:00
2026-07-24 13:27:13 +02:00
2026-04-23 21:44:48 +07:00

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:

  1. Start servers: npm run dev
  2. Open http://localhost:5173
  3. Test WebSocket connection (green status indicator)
  4. Click "Send Ping" button to test communication

More testing guidance as features are implemented.

License

MIT