WebChat Voice Full Stack

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name: webchat-voice-full-stack description: > One-step full-stack installer for OpenClaw WebChat voice input with local speech-to-text. Orchestrates three focused skills in order: local STT backend (faster-whisper-local-service), HTTPS/WSS reverse proxy (webchat-https-proxy), and voice UI mic controls (webchat-voice-gui). Includes Push-to-Talk, continuous recording shortcuts, VU meter, and localized UI (EN/DE/ZH). Designed for transparent, user-level deployment with explicit, reversible changes only (systemd user services, Control UI asset injection, gateway allowed-origin update). SHA256 integrity verification of all sub-skill scripts before execution — deployment aborts on any checksum mismatch. No external telemetry and no recurring API costs after initial model download. Keywords: voice input, microphone, WebChat, speech to text, STT, local transcription, whisper, full stack, one-click, voice button, push-to-talk, PTT, keyboard shortcut, i18n, HTTPS, WSS, integrity verification, checksum.

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WebChat Voice Full Stack

Meta-installer that orchestrates three standalone skills in the correct order:

1. faster-whisper-local-service — local STT backend (HTTP on 127.0.0.1:18790) 2. webchat-https-proxy — HTTPS/WSS reverse proxy for Control UI + WebSocket + transcription 3. webchat-voice-gui — mic button, VU meter, keyboard shortcuts, i18n for WebChat

Prerequisites

All three skills must be installed before running this meta-installer:

npx clawhub install faster-whisper-local-service
npx clawhub install webchat-https-proxy
npx clawhub install webchat-voice-gui

Additionally required on the system:

Python 3.10+

gst-launch-1.0 (GStreamer, from OS packages)

Internet access on first run (model download ~1.5 GB for medium)

Deploy

bash scripts/deploy.sh

Optional overrides (passed through to downstream scripts):

VOICE_HOST=10.0.0.42 VOICE_HTTPS_PORT=8443 TRANSCRIBE_PORT=18790 WHISPER_LANGUAGE=auto bash scripts/deploy.sh

What this does (via downstream scripts)

This skill does not contain deployment logic itself. It calls deploy.sh from each sub-skill:

Step 1: faster-whisper-local-service

Creates Python venv, installs faster-whisper==1.1.1

Writes transcribe-server.py with input validation (magic-byte check, size limit)

Creates systemd user service openclaw-transcribe.service

Downloads model weights on first run (~1.5 GB for medium)

Step 2: webchat-https-proxy

Copies https-server.py to workspace

Adds HTTPS origin to gateway.controlUi.allowedOrigins

Creates systemd user service openclaw-voice-https.service

Auto-generates self-signed TLS cert (TLS 1.2+ enforced)

Step 3: webchat-voice-gui

Copies voice-input.js and injects