feat: add voice mode support via mic passthrough to container
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Enables Claude Code's /voice command inside Docker containers by
capturing microphone audio in the Tauri webview and streaming it
into the container via a FIFO pipe.
Container: fake rec/arecord shims read PCM from a FIFO instead of
a real mic. Audio bridge exec writes PCM from Tauri into the FIFO.
Frontend: getUserMedia() + AudioWorklet captures 16kHz mono PCM
and streams it to the container via invoke("send_audio_data").
UI: "Mic Off/On" toggle button in the terminal view.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
98
app/src/hooks/useVoice.ts
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98
app/src/hooks/useVoice.ts
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import { useCallback, useRef, useState } from "react";
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import * as commands from "../lib/tauri-commands";
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type VoiceState = "inactive" | "starting" | "active" | "error";
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export function useVoice(sessionId: string) {
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const [state, setState] = useState<VoiceState>("inactive");
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const [error, setError] = useState<string | null>(null);
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const audioContextRef = useRef<AudioContext | null>(null);
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const streamRef = useRef<MediaStream | null>(null);
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const workletRef = useRef<AudioWorkletNode | null>(null);
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const start = useCallback(async () => {
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if (state === "active" || state === "starting") return;
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setState("starting");
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setError(null);
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try {
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// 1. Start the audio bridge in the container (creates FIFO writer)
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await commands.startAudioBridge(sessionId);
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// 2. Get microphone access
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const stream = await navigator.mediaDevices.getUserMedia({
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audio: {
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channelCount: 1,
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echoCancellation: true,
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noiseSuppression: true,
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autoGainControl: true,
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},
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});
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streamRef.current = stream;
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// 3. Create AudioContext at 16kHz (browser handles resampling)
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const audioContext = new AudioContext({ sampleRate: 16000 });
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audioContextRef.current = audioContext;
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// 4. Load AudioWorklet processor
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await audioContext.audioWorklet.addModule("/audio-capture-processor.js");
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// 5. Connect: mic → worklet → (silent) destination
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const source = audioContext.createMediaStreamSource(stream);
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const processor = new AudioWorkletNode(audioContext, "audio-capture-processor");
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workletRef.current = processor;
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// 6. Handle PCM chunks from the worklet
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processor.port.onmessage = (event: MessageEvent<ArrayBuffer>) => {
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const bytes = Array.from(new Uint8Array(event.data));
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commands.sendAudioData(sessionId, bytes).catch(() => {
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// Audio bridge may have been closed — ignore send errors
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});
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};
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source.connect(processor);
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processor.connect(audioContext.destination);
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setState("active");
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} catch (e) {
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const msg = e instanceof Error ? e.message : String(e);
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setError(msg);
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setState("error");
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// Clean up on failure
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await commands.stopAudioBridge(sessionId).catch(() => {});
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}
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}, [sessionId, state]);
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const stop = useCallback(async () => {
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// Tear down audio pipeline
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workletRef.current?.disconnect();
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workletRef.current = null;
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if (audioContextRef.current) {
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await audioContextRef.current.close().catch(() => {});
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audioContextRef.current = null;
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}
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if (streamRef.current) {
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streamRef.current.getTracks().forEach((t) => t.stop());
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streamRef.current = null;
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}
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// Stop the container-side audio bridge
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await commands.stopAudioBridge(sessionId).catch(() => {});
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setState("inactive");
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setError(null);
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}, [sessionId]);
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const toggle = useCallback(async () => {
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if (state === "active") {
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await stop();
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} else {
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await start();
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}
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}, [state, start, stop]);
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return { state, error, start, stop, toggle };
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}
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