Files
EveFlow/electron/voice/engine.ts
T
LogiFlowandClaude af8bdc5e9d feat: fin de phrase Silero, vision d'écran et actions locales (v2.3.0) (#13)
Écoute permanente
- Silero VAD dans le worker sherpa-onnx (vad.start/audio/stop) ; le renderer
  envoie des trames de 128 ms pendant la commande et reçoit le segment WAV
  complet (speech-start / segment). Repli sur le VAD énergétique si le modèle
  n'est pas installé ou si l'option est désactivée.
- Modèle « silero-vad » (0,6 Mo) dans le catalogue, section « Fin de phrase »
  dans Modèles locaux, réglage dans Paramètres → Micro.

Vision d'écran
- IPC system:screen-capture (desktopCapturer, JPEG 1600 px) ; bouton dans la
  barre de commande ; « regarde mon écran… » joint la capture à la question
  envoyée à Hermes (transport chat completions pour les images).

Actions locales
- IPC system:action à liste blanche : verrouiller la session, touches média
  (volume, mute, lecture, piste), ouvrir une application connue ou une URL
  http(s), presse-papiers, recherche de fichiers dans les dossiers utilisateur.
- Routeur d'intentions FR/EN exécuté avant Hermes (« coupe le son », « ouvre
  Spotify », « verrouille la session »…), résultat affiché et lu ; désactivable.

Correctif
- Chat completions : les premiers fragments SSE arrivés avant l'événement de
  démarrage étaient perdus (premier mot manquant) ; ils sont maintenant rejoués.

Tests : 26 tests unitaires (intentions locales ajoutées), e2e Electron sous
Xvfb avec les vrais modèles (Silero : un segment par phrase, 6,7 s d'audio
traités en 190 ms ; capture 109 ko reçue par Hermes ; intention locale
traitée sans Hermes).


Claude-Session: https://claude.ai/code/session_017Wn5VX9HNbJ7N54hR24u9Y

Co-authored-by: Claude <noreply@anthropic.com>
2026-09-03 20:46:26 +02:00

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/**
* Host side of the voice worker: spawns the utility process on demand, correlates
* requests and responses, restarts the worker if it crashes.
*/
import { utilityProcess, type UtilityProcess, type WebContents } from 'electron';
import { createHash } from 'node:crypto';
import fs from 'node:fs';
import path from 'node:path';
import { VOICE_IPC, type KwsDetection, type KwsStartRequest, type SynthesizeRequest, type SynthesizeResult, type TranscribeRequest, type TranscribeResult, type VadEvent, type VadStartRequest, type VoiceEngineStatus } from '../../shared/voice';
import { buildKeywordsFile, parseTokens } from '../../shared/keywords';
import { findModel } from './catalog';
import { isInstalled, modelDir, modelsDir } from './models';
import { log } from '../logger';
/** Renderer that receives keyword detections while spotting is active. */
let kwsSubscriber: WebContents | null = null;
let kwsActive = false;
let kwsRequest: KwsStartRequest | null = null;
let vadSubscriber: WebContents | null = null;
let vadActive = false;
interface Pending {
resolve: (value: unknown) => void;
reject: (err: Error) => void;
timer: ReturnType<typeof setTimeout>;
}
let child: UtilityProcess | null = null;
let nextId = 1;
const pending = new Map<number, Pending>();
function rejectAll(message: string): void {
for (const [id, p] of pending) {
clearTimeout(p.timer);
p.reject(new Error(message));
pending.delete(id);
}
}
function spawn(): UtilityProcess {
if (child) return child;
const script = path.join(__dirname, 'voice-worker.js');
const proc = utilityProcess.fork(script, [], { serviceName: 'eveflow-voice', stdio: 'pipe' });
child = proc;
proc.stdout?.on('data', (d: Buffer) => log('DEBUG', 'voice-worker', d.toString().trim()));
proc.stderr?.on('data', (d: Buffer) => log('WARN', 'voice-worker', d.toString().trim()));
proc.on('message', (msg: { id?: number; type?: string; ok?: boolean; result?: unknown; error?: string; keyword?: string; at?: number; event?: { type: string; wav?: string; durationSec?: number } }) => {
if (msg.type === 'vad.event' && msg.event) {
if (vadSubscriber && !vadSubscriber.isDestroyed()) {
const ev = msg.event;
const payload: VadEvent =
ev.type === 'segment' && ev.wav
? { type: 'segment', wav: new Uint8Array(Buffer.from(ev.wav, 'base64')), durationSec: ev.durationSec ?? 0 }
: ev.type === 'speech-start'
? { type: 'speech-start' }
: { type: 'error', message: 'événement VAD inconnu' };
vadSubscriber.send(VOICE_IPC.vadEvent, payload);
}
return;
}
if (msg.type === 'kws.detected') {
if (kwsSubscriber && !kwsSubscriber.isDestroyed()) {
kwsSubscriber.send(VOICE_IPC.kwsDetected, { keyword: msg.keyword ?? '', at: msg.at ?? Date.now() } satisfies KwsDetection);
}
log('INFO', 'voice', `wake word detected: ${msg.keyword}`);
return;
}
if (typeof msg.id !== 'number') return;
const p = pending.get(msg.id);
if (!p) return;
pending.delete(msg.id);
clearTimeout(p.timer);
if (msg.ok) p.resolve(msg.result);
else p.reject(new Error(msg.error ?? 'erreur moteur vocal'));
});
proc.on('exit', (code) => {
log(code === 0 ? 'INFO' : 'ERROR', 'voice-worker', `exited with code ${code}`);
// A newer worker may already have replaced this one; only clean up if we are still current.
if (child !== proc) return;
child = null;
rejectAll('Le moteur vocal local s’est arrêté de façon inattendue.');
// Keyword spotting survives a worker restart: re-arm on the next audio frame.
if (kwsActive) kwsArmed = false;
});
log('INFO', 'voice', 'voice worker started');
return proc;
}
function request<T>(message: Record<string, unknown>, timeoutMs = 120_000): Promise<T> {
const proc = spawn();
const id = nextId++;
return new Promise<T>((resolve, reject) => {
const timer = setTimeout(() => {
pending.delete(id);
reject(new Error('Délai dépassé pour le moteur vocal local.'));
// The worker handles requests synchronously: a stuck request wedges everything behind it.
if (child === proc) {
log('WARN', 'voice', 'worker unresponsive, restarting');
stopEngine();
}
}, timeoutMs);
pending.set(id, { resolve: (v) => resolve(v as T), reject, timer });
try {
proc.postMessage({ id, ...message });
} catch (err) {
pending.delete(id);
clearTimeout(timer);
reject(err as Error);
}
});
}
function modelRef(modelId: string) {
const spec = findModel(modelId);
if (!spec) throw new Error(`Modèle inconnu : ${modelId}`);
if (!isInstalled(spec)) throw new Error(`Modèle « ${spec.name} » non installé. Téléchargez-le dans Paramètres → Modèles.`);
return { id: spec.id, engine: spec.engine, dir: modelDir(spec), files: spec.files };
}
export async function engineStatus(): Promise<VoiceEngineStatus> {
try {
const status = await request<Omit<VoiceEngineStatus, 'modelsDir'>>({ type: 'status' }, 20_000);
return { ...status, modelsDir: modelsDir() };
} catch (err) {
return { available: false, error: (err as Error).message, loaded: [], modelsDir: modelsDir() };
}
}
export function transcribe(req: TranscribeRequest): Promise<TranscribeResult> {
// Binary payloads are base64-encoded for the worker: the utility process channel rejects external buffers.
const wav = Buffer.from(req.wav.buffer, req.wav.byteOffset, req.wav.byteLength).toString('base64');
return request<TranscribeResult>({ type: 'transcribe', model: modelRef(req.modelId), wav, language: req.language }, 180_000);
}
export async function synthesize(req: SynthesizeRequest): Promise<SynthesizeResult> {
const result = await request<Omit<SynthesizeResult, 'wav'> & { wav: string }>(
{ type: 'synthesize', model: modelRef(req.modelId), text: req.text, speaker: req.speaker, speed: req.speed },
180_000
);
const buffer = Buffer.from(result.wav, 'base64');
return { ...result, wav: new Uint8Array(buffer.buffer, buffer.byteOffset, buffer.byteLength) };
}
let kwsArmed = false;
const SENSITIVITY_THRESHOLD: Record<number, number> = { 1: 0.45, 2: 0.35, 3: 0.25, 4: 0.18, 5: 0.12 };
const SENSITIVITY_SCORE: Record<number, number> = { 1: 1.0, 2: 1.0, 3: 1.2, 4: 1.5, 5: 2.0 };
/** Start keyword spotting; the keywords file is derived from the phrases and the model vocabulary. */
export async function kwsStart(req: KwsStartRequest, sender: WebContents): Promise<{ accepted: string[]; rejected: string[] }> {
const spec = findModel(req.modelId);
if (!spec || spec.kind !== 'kws') throw new Error('Modèle de détection introuvable');
if (!isInstalled(spec)) throw new Error('Détecteur de mot-clé non installé (Paramètres → Modèles locaux).');
const dir = modelDir(spec);
const vocab = parseTokens(fs.readFileSync(path.join(dir, 'tokens.txt'), 'utf8'));
const phrases = req.keywords.map((k) => String(k).slice(0, 40)).filter(Boolean).slice(0, 8);
const file = buildKeywordsFile(phrases, vocab);
if (file.accepted.length === 0) throw new Error(`Aucun mot d’activation encodable : ${file.rejected.join(', ')}`);
const hash = createHash('sha1').update(file.content).digest('hex').slice(0, 10);
const keywordsFile = path.join(modelsDir(), `keywords-${hash}.txt`);
fs.writeFileSync(keywordsFile, file.content, 'utf8');
const sensitivity = Math.min(5, Math.max(1, Math.round(req.sensitivity))) as 1 | 2 | 3 | 4 | 5;
kwsSubscriber = sender;
kwsRequest = req;
await request({ type: 'kws.start', model: { id: spec.id, engine: spec.engine, dir, files: spec.files }, keywordsFile, threshold: SENSITIVITY_THRESHOLD[sensitivity], score: SENSITIVITY_SCORE[sensitivity] }, 60_000);
kwsActive = true;
kwsArmed = true;
log('INFO', 'voice', `keyword spotting on: ${file.accepted.join(', ')} (threshold ${SENSITIVITY_THRESHOLD[sensitivity]})`);
return { accepted: file.accepted, rejected: file.rejected };
}
export async function kwsStop(): Promise<void> {
kwsActive = false;
kwsArmed = false;
kwsSubscriber = null;
if (child) await request({ type: 'kws.stop' }, 10_000).catch(() => undefined);
}
/** Feed 16-bit PCM from the renderer (fire-and-forget). */
export function kwsFeed(pcm: Uint8Array, sampleRate: number): void {
if (!kwsActive) return;
const proc = spawn();
if (!kwsArmed) {
// Worker restarted: re-create the spotter before feeding audio.
if (kwsRequest && kwsSubscriber) {
kwsArmed = true;
kwsStart(kwsRequest, kwsSubscriber).catch((err) => log('WARN', 'voice', `kws re-arm failed: ${(err as Error).message}`));
}
return;
}
const b64 = Buffer.from(pcm.buffer, pcm.byteOffset, pcm.byteLength).toString('base64');
try {
proc.postMessage({ id: -1, type: 'kws.audio', pcm: b64, sampleRate });
} catch (err) {
log('WARN', 'voice', `kws feed failed: ${(err as Error).message}`);
}
}
/** Neural end-of-speech detection (Silero) on frames streamed by the renderer. */
export async function vadStart(req: VadStartRequest, sender: WebContents): Promise<void> {
const spec = findModel(req.modelId);
if (!spec || spec.kind !== 'vad') throw new Error('Modèle VAD introuvable');
if (!isInstalled(spec)) throw new Error('Silero VAD non installé (Paramètres → Modèles locaux).');
vadSubscriber = sender;
await request(
{ type: 'vad.start', model: { id: spec.id, engine: spec.engine, dir: modelDir(spec), files: spec.files }, silenceMs: req.silenceMs, threshold: req.threshold, maxUtteranceSec: req.maxUtteranceSec },
30_000
);
vadActive = true;
}
export async function vadStop(): Promise<void> {
vadActive = false;
vadSubscriber = null;
if (child) await request({ type: 'vad.stop' }, 10_000).catch(() => undefined);
}
export function vadFeed(pcm: Uint8Array, sampleRate: number): void {
if (!vadActive || !child) return;
const b64 = Buffer.from(pcm.buffer, pcm.byteOffset, pcm.byteLength).toString('base64');
try {
child.postMessage({ id: -1, type: 'vad.audio', pcm: b64, sampleRate });
} catch (err) {
log('WARN', 'voice', `vad feed failed: ${(err as Error).message}`);
}
}
/** Native model memory is only released deterministically by restarting the worker. */
export function unload(_modelId?: string): Promise<unknown> {
stopEngine();
return Promise.resolve({ ok: true });
}
export function stopEngine(): void {
const proc = child;
child = null;
if (proc) {
rejectAll('Moteur vocal redémarré.');
proc.kill();
}
}