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>

.github/workflows/windows-release.yml

@@ -1,59 +1,78 @@
-name: Windows EXE
+name: Build
 
 on:
   push:
-    branches:
+    branches: [main, master]
-      - main
+    tags: ["v*"]
-      - master
+  pull_request:
-    tags:
-      - "v*"
   workflow_dispatch:
 
 permissions:
   contents: write
 
 jobs:
+  check:
+    name: Typecheck & tests
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 22
+          cache: npm
+      - run: npm ci
+      - run: npm run typecheck
+      - run: npm test
+      - run: npm run build:renderer
+
   build-windows:
     name: Build Windows installer
+    needs: check
+    if: github.event_name != 'pull_request'
     runs-on: windows-latest
     env:
       CSC_IDENTITY_AUTO_DISCOVERY: "false"
-
     steps:
-      - name: Checkout
+      - uses: actions/checkout@v4
-        uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
-
-      - name: Setup Node
-        uses: actions/setup-node@v4
         with:
-          node-version: 20
+          node-version: 22
           cache: npm
-
+      - run: npm ci
-      - name: Install dependencies
+      - name: Read version
-        run: npm ci
+        id: ver
-
+        shell: bash
-      - name: Build app
+        run: |
-        run: npm run build
+          version=$(node -p "const p=require('./package.json'); p.releaseVersion || p.version")
-
+          echo "version=$version" >> "$GITHUB_OUTPUT"
-      - name: Build Windows EXE
+          # Fourth component (hotfix number, e.g. 2.0.0.1) becomes the Windows file build number.
-        run: npx electron-builder --win --publish never
+          echo "build=$(echo "$version" | cut -d. -f4)" >> "$GITHUB_OUTPUT"
+          if git ls-remote --exit-code --tags origin "refs/tags/v$version" >/dev/null 2>&1; then
+            echo "released=true" >> "$GITHUB_OUTPUT"
+          else
+            echo "released=false" >> "$GITHUB_OUTPUT"
+          fi
+      - run: npm run build
+      - name: Package Windows EXE
+        run: npm run dist -- --win --publish never
         env:
           GH_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-
+          BUILD_NUMBER: ${{ steps.ver.outputs.build }}
-      - name: Upload Windows artifact
+      - uses: actions/upload-artifact@v4
-        uses: actions/upload-artifact@v4
         with:
-          name: EveFlow-Windows-${{ github.ref_name }}
+          name: EveFlow-Windows-v${{ steps.ver.outputs.version }}
           path: |
             out/*.exe
             out/*.exe.blockmap
             out/latest.yml
           if-no-files-found: error
-
       - name: Publish GitHub release
-        if: startsWith(github.ref, 'refs/tags/v')
+        if: startsWith(github.ref, 'refs/tags/v') || github.event_name == 'workflow_dispatch' || (github.event_name == 'push' && github.ref == 'refs/heads/master' && steps.ver.outputs.released == 'false')
         uses: softprops/action-gh-release@v2
         with:
+          tag_name: v${{ steps.ver.outputs.version }}
+          name: EveFlow ${{ steps.ver.outputs.version }}
+          generate_release_notes: true
           files: |
             out/*.exe
             out/*.exe.blockmap

.gitignore

@@ -1,6 +1,8 @@
 node_modules/
 dist/
+dist-electron/
 out/
 .env
 .env.local
 *.log
+.vite/

Eve/EVE.mtl

@@ -1,72 +0,0 @@
-# Blender 4.5.5 LTS MTL File: 'None'
-# www.blender.org
-
-newmtl ArmLight
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_4a4a505db864ac4a_14.png
-map_d tex1_128x128_m_2f869d05e999c94a_0.png
-
-newmtl Eve
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_16x16_m_60d58f4141724929_14.png
-
-newmtl Eye
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_32x32_m_cad406fa8385be70_14.png
-map_d tex1_32x32_m_c8162c34352a09e2_0.png
-
-newmtl HeadGun
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_128x128_m_87b2e2053969c2c1_14.png
-
-newmtl Lights
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_b3ab82716f6eb03b_14.png
-map_d tex1_128x128_e0ee4f7cd514a91a_0.png
-
-newmtl UpperBody
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_7149b995a42d2f50_14.png
-map_d tex1_128x128_m_164b500fe0940dee_0.png
-
-newmtl Visor
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_499edc885bc97572_14.png
-map_d tex1_128x128_m_f2552de8e9085d25_0.png

Eve/EVE/EVE.mtl

@@ -1,72 +0,0 @@
-# Blender 4.5.5 LTS MTL File: 'None'
-# www.blender.org
-
-newmtl ArmLight
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_4a4a505db864ac4a_14.png
-map_d tex1_128x128_m_2f869d05e999c94a_0.png
-
-newmtl Eve
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_16x16_m_60d58f4141724929_14.png
-
-newmtl Eye
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_32x32_m_cad406fa8385be70_14.png
-map_d tex1_32x32_m_c8162c34352a09e2_0.png
-
-newmtl HeadGun
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_128x128_m_87b2e2053969c2c1_14.png
-
-newmtl Lights
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_b3ab82716f6eb03b_14.png
-map_d tex1_128x128_e0ee4f7cd514a91a_0.png
-
-newmtl UpperBody
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_7149b995a42d2f50_14.png
-map_d tex1_128x128_m_164b500fe0940dee_0.png
-
-newmtl Visor
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_499edc885bc97572_14.png
-map_d tex1_128x128_m_f2552de8e9085d25_0.png

Eve/EVE/Multiplayer/EVE_Diver.mtl

@@ -1,12 +0,0 @@
-# Blender 4.5.5 LTS MTL File: 'None'
-# www.blender.org
-
-newmtl EVE_Diver
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_256x256_m_7f667e040dcfe4ee_14.png

Eve/EVE/Multiplayer/EVE_Diver.obj

@@ -1,897 +0,0 @@
-# Blender 4.5.5 LTS
-# www.blender.org
-mtllib EVE_Diver.mtl
-o EVE_Diver
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Eve/Multiplayer/EVE_Diver.mtl

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Eve/Multiplayer/EVE_Xmas.mtl

@@ -1,12 +0,0 @@
-# Blender 4.5.5 LTS MTL File: 'None'
-# www.blender.org
-
-newmtl EVE_Xmas
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_f5b8cc0e1394df76_14.png
-map_d tex1_128x128_m_47fba0aeb06eb3d7_0.png

README.md

@@ -1,83 +1,118 @@
-# 🚀 EveFlow — Compagnon de Bureau Rétro-Futuriste 3D
+# EveFlow 2 — Interface vocale JARVIS pour Hermes Agent
 
-[![Windows Version](https://img.shields.io/badge/OS-Windows-blue.svg?style=flat-square&logo=windows)](https://github.com/R0m1k3/EveFlow)
+[![Build](https://img.shields.io/github/actions/workflow/status/R0m1k3/EveFlow/windows-release.yml?style=flat-square)](https://github.com/R0m1k3/EveFlow/actions)
-[![Version](https://img.shields.io/badge/version-1.0.4-brightgreen.svg?style=flat-square)](https://github.com/R0m1k3/EveFlow/releases/tag/v1.0.4)
+[![Version](https://img.shields.io/badge/version-2.3.0-brightgreen.svg?style=flat-square)](https://github.com/R0m1k3/EveFlow/releases)
 [![License](https://img.shields.io/badge/license-MIT-lightgrey.svg?style=flat-square)](LICENSE)
 
-**EveFlow** est un compagnon de bureau Windows immersif haut de gamme, combinant une esthétique cyberpunk rétro-futuriste soignée et des technologies d'intelligence artificielle avancées. Il intègre un assistant virtuel en 3D nommé **Eve**, animé en temps réel avec des expressions émotionnelles dynamiques et synchronisé avec des services de synthèse vocale (TTS/STT) locaux et des architectures multi-agents.
+**EveFlow** est un compagnon de bureau Windows qui transforme [Hermes Agent](https://hermes-agent.nousresearch.com/) en assistant vocal à la JARVIS : un noyau holographique réactif au son, une conversation en streaming, les outils, sous-agents, approbations, crons, skills et sessions d'Hermes pilotés depuis un seul HUD.
+
+La version 2 est une réécriture complète : plus de robot 3D, un pipeline vocal fiable (AudioWorklet + détection d'activité vocale), un client Hermes qui exploite l'API serveur complète (runs SSE, sessions, jobs, capabilities) et une architecture Electron sécurisée (sandbox, `webSecurity` actif, réseau proxifié par le processus principal).
 
 ---
 
-## 📸 Aperçu de l'Interface
+## Fonctionnalités
 
-Découvrez le cockpit de contrôle immersif et le mode widget compact d'EveFlow :
+### Noyau JARVIS
+* Arc reactor rendu en Canvas 2D : anneaux gradués, arcs segmentés et spectre radial calculé sur le **vrai signal audio** (voix synthétisée ou microphone).
+* États visuels : veille, écoute, analyse (outils en cours), transmission, attention (approbation), anomalie, succès.
+* Quatre thèmes (arc cyan, gold, crimson, emerald), mode animations réduites.
+* Mode compact flottant toujours au premier plan, opacité réglable.
 
+### Voix
+* **Capture micro** via AudioWorklet à 16 kHz, sans monitoring du micro dans les haut-parleurs, avec annulation d'écho et réduction de bruit.
+* **Détection d'activité vocale** (seuil adaptatif, sensibilité et silence de fin réglables) : l'enregistrement s'arrête tout seul quand vous avez fini de parler.
+* **Mains libres** : le micro se réactive après chaque réponse.
+* **Modèles intégrés, hors ligne** (sherpa-onnx dans un processus séparé) : reconnaissance Whisper (base, small, large-v3 turbo) ou SenseVoice, synthèse Kokoro v1.0 (voix française Siwis et voix anglaises) ou Piper (Siwis, Tom, UPMC). Les modèles se téléchargent depuis **Paramètres → Modèles locaux** et tournent sur le processeur.
+* **Fin de phrase neuronale** : en écoute permanente, Silero VAD (0,6 Mo, sherpa-onnx) décide du début et de la fin de la commande à la place du seuil d'énergie ; moins de faux départs sur le bruit, coupure plus nette. Repli automatique sur le VAD énergétique si le modèle n'est pas installé.
+* **Vision d'écran** : « Jarvis, regarde mon écran » (ou le bouton de la barre de commande) joint une capture de l'écran principal à la question envoyée à Hermes.
+* **Actions locales instantanées** : « verrouille la session », « monte le son », « coupe le son », « piste suivante », « ouvre Spotify », « ouvre github.com »… exécutées sur le PC sans passer par Hermes, résultat lu à voix haute. Liste blanche d'actions dans le processus principal, désactivable dans les paramètres.
+* **Écoute permanente** : un détecteur de mot-clé de 3 Mo (sherpa-onnx, keyword spotting) tourne en continu sur le micro, quasi gratuit en CPU. « Jarvis » (ou n'importe quel mot-clé) ouvre l'écoute, « Jarvis, allume… » envoie directement la commande, et le mot coupe la voix en cours. Alternative : filtre du mot après transcription en mains libres.
+* **STT externe** : n'importe quelle API `/v1/audio/transcriptions` compatible OpenAI (Qwen3-ASR, Whisper, Speaches, faster-whisper-server, LocalAI, OpenAI). Repli sur la reconnaissance Chromium.
+* **TTS externe** : API `/v1/audio/speech` compatible OpenAI, voix système Windows ou Google Translate. Lecture phrase par phrase pendant le streaming, préchargement du segment suivant, coupure instantanée.
+* Raccourcis globaux : `Ctrl+Shift+Espace` (micro), `Ctrl+Shift+J` (afficher/masquer), `Ctrl+Shift+Échap` (couper la voix).
 
+### Hermes, toute la puissance
+* Découverte automatique via `GET /v1/capabilities` et `GET /health/detailed`, choix du transport le plus riche :
+  1. **Runs API** (`POST /v1/runs` + `GET /v1/runs/{id}/events`) : deltas, outils, sous-agents, `approval.request`, `run.completed`, arrêt (`/stop`) et injection de consignes en cours de run (`/steer`).
+  2. **Sessions API** (`/api/sessions/{id}/chat/stream`) : mémoire côté serveur, fork, suppression, relecture de l'historique.
+  3. **Chat completions** OpenAI (`/v1/chat/completions`) avec `hermes.tool.progress`, continuité de session (`X-Hermes-Session-Id`) et outils EveFlow côté client (état du HUD, fichiers partagés, notifications).
+* Mémoire longue durée via `X-Hermes-Session-Key`.
+* **Approbations** d'outils affichées dans le HUD : une fois, pour la session, toujours, refuser.
+* **Crons** : création en langage naturel (`every 1h`, `weekdays at 9am`, `in 30m`, expression cron), pause/reprise, exécution immédiate, édition, historique des résultats lus à voix haute.
+* **Skills et toolsets** exposés par le serveur, **sessions** navigables.
+* **Webhook local** (`POST http://<pc>:7842/eveflow/hook`) pour recevoir les livraisons de crons, le miroir Telegram ou n'importe quel script, avec secret optionnel.
+* Images inline (URL, data URL, fichiers du dossier partagé `Documents/EveFlow_Shared`).
+
+### Système
+* Télémétrie réelle : charge CPU, mémoire, fréquence, FPS, uptime.
+* Journal sur disque (`%APPDATA%/eveflow/eveflow.log`), icône de zone de notification, instance unique.
 
 ---
 
-## ✨ Fonctionnalités Clés
+## Stack
 
-* **🤖 Avatar 3D Eve Interactif** : Un modèle 3D animé sous WebGL avec des shaders personnalisés pour ses yeux LED. Ses expressions (joie, tristesse, réflexion, colère, surprise, neutre), son clignotement de paupières et ses mouvements de bras s'adaptent de manière organique selon le contexte et la parole.
+* Electron 44 (sandbox, contextIsolation, `webSecurity` actif, proxy HTTP en streaming dans le main process)
-* **🌌 Interface Transparent Glassmorphic Premium** : Fenêtre sans bordure avec un effet de verre dépoli haut de gamme, s'intégrant magnifiquement à votre bureau Windows sans perturber votre espace de travail.
+* React 19 + Vite 8 + TypeScript 5.9 + Zustand
-* **🔄 Deux Modes d'Affichage Dynamiques** :
+* Canvas 2D, Web Audio (AudioWorklet, AnalyserNode)
-  * **Mode Cockpit** : Interface complète de discussion avec panneau de commande, historique des messages, affichage des logs et télémétrie matérielle avancée.
+* sherpa-onnx (ONNX Runtime) pour la voix locale, exécuté dans un `utilityProcess` Electron
-  * **Mode Flottant (Widget)** : Une carte compacte translucide toujours au premier plan, plaçant l'avatar d'Eve directement dans le coin de votre écran pour une compagnie discrète.
+* Vitest pour les tests unitaires (SSE, VAD, WAV, normalisation d'événements Hermes)
-* **🔌 Serveur Webhook Intégré (Hermes)** : Port d'écoute webhook local (`7842`) permettant la réception d'événements et de notifications poussés en temps réel par des agents tiers (comme Telegram ou des scripts d'automatisation).
+
-* **🖥️ Télémétrie CPU en Temps Réel** : Suivi des performances de votre ordinateur (fréquence CPU et température thermique calculée selon la charge réelle) directement intégré sous forme d'afficheurs analogiques virtuels futuristes.
+```
-* **🔒 Sécurité Zero Trust** : Isolation du contexte Chromium activée (`contextIsolation`), interdiction de l'intégration directe de Node dans le renderer et vérification stricte des extensions de fichiers lors des opérations de lecture/écriture de fichiers partagés via IPC.
+electron/        processus principal (fenêtre, tray, raccourcis, IPC, webhook, proxy HTTP)
+electron/voice   catalogue de modèles, téléchargement, worker sherpa-onnx (STT/TTS)
+shared/          contrat IPC + normalisation des pushs webhook (main + renderer)
+src/lib          transport, SSE, persistance, utilitaires texte
+src/services     hermes/ (client, événements, outils locaux)  voice/ (capture, VAD, STT, TTS)
+src/state        stores Zustand (settings, chat, hermes, voice)
+src/components   hud/ chat/ panels/ settings/ compact/
+tests/           vitest
+```
 
 ---
 
-## 🛠️ Stack Technique
+## Prérequis côté Hermes
 
-* **Framework Applicatif** : [Electron](https://www.electronjs.org/) (Zéro Trust)
+Activez le serveur API dans la configuration Hermes (`~/.hermes/config.yaml`) ou via l'environnement :
-* **Frontend** : [React](https://react.dev/) + [Vite](https://vitejs.dev/) + [TypeScript](https://www.typescriptlang.org/)
+
-* **Moteur 3D** : [Three.js](https://threejs.org/) via [@react-three/fiber](https://github.com/pmndrs/react-three-fiber) et [@react-three/drei](https://github.com/pmndrs/drei)
+```
-* **Serveur Webhook** : Node.js `http` (Port `7842`)
+API_SERVER_ENABLED=true
+API_SERVER_PORT=8642
+API_SERVER_KEY=<votre clé>
+```
+
+Puis lancez `hermes gateway`. Renseignez l'URL (`http://<hôte>:8642`) et la clé dans **Paramètres → Hermes** et cliquez **Tester la liaison**. Le transport choisi apparaît dans la barre supérieure.
+
+Pour recevoir les résultats de crons ou le miroir d'autres canaux dans EveFlow, faites pointer une livraison Hermes (script, webhook, `deliver`) vers `http://<ip-du-pc>:7842/eveflow/hook` avec un JSON tel que :
+
+```json
+{ "role": "assistant", "text": "Rapport terminé", "source": "telegram" }
+{ "event": "run.completed", "input": "question", "output": "réponse" }
+{ "event": "job.completed", "job": { "name": "Rapport" }, "output": "…", "status": "ok" }
+```
 
 ---
 
-## 🚀 Installation & Lancement en Développement
+## Développement
 
-### Prérequis
+```bash
-* [Node.js](https://nodejs.org/) (Version 20 recommandée)
+npm install
-* [Git](https://git-scm.com/)
+npm start          # Vite + Electron (rechargement à chaud du renderer)
+npm test           # tests unitaires
+npm run typecheck  # renderer + main process
+```
 
-### Étapes d'installation
+Sans Electron, `npm run dev` puis `http://127.0.0.1:5173/` (ou `?mode=compact`) permet de travailler l'interface dans un navigateur ; les appels réseau passent alors directement par `fetch` (CORS requis côté serveur).
-1. **Cloner le dépôt** :
+
-   ```bash
+## Packaging Windows et versions
-   git clone https://github.com/R0m1k3/EveFlow.git
+
-   cd EveFlow
+```bash
-   ```
+npm run dist
-2. **Installer les dépendances** :
+```
-   ```bash
+
-   npm install
+L'installateur NSIS est produit dans `out/`. Le numéro de version publié est `releaseVersion` dans `package.json` (quatre chiffres, ex. `2.0.0.1` : le quatrième chiffre sert aux petits correctifs). `version` reste la base à trois chiffres exigée par electron-builder. À chaque fusion sur master, le workflow GitHub Actions crée le tag et la release Windows si ce numéro n'a pas encore été publié.
-   ```
-3. **Lancer l'application en mode développement** :
-   ```bash
-   npm start
-   ```
-   *Cette commande démarre le serveur de développement Vite à l'adresse `http://localhost:5173` puis lance Electron en mode connecté.*
 
 ---
 
-## 📦 Compilation & Packaging (Production)
+## Licence
 
-Pour générer l'exécutable d'installation Windows (`.exe`) autonome :
+MIT.
-
-1. **Compiler le bundle frontend** :
-   ```bash
-   npm run build
-   ```
-2. **Générer le package d'installation Windows** :
-   ```bash
-   npm run dist
-   ```
-   *L'exécutable d'installation NSIS (`EveFlow Setup 1.0.4.exe`) et la build décompressée seront générés dans le dossier `./out/`.*
-
----
-
-## 📜 Licence
-
-Ce projet est sous licence MIT. Consultez le fichier [LICENSE](LICENSE) pour plus de détails.

docs/ROADMAP.md

@@ -0,0 +1,72 @@
+# Feuille de route : vers un vrai JARVIS
+
+État au 3 septembre 2026, après la revue complète du code (trois audits : processus principal, services/état, interface) et le test de bout en bout de l'application Electron sous Xvfb avec les vrais modèles.
+
+## Ce qui existe déjà
+
+| Capacité | État | Notes |
+|---|---|---|
+| HUD arc-reactor réactif au son | Fait | Canvas 2D optimisé (pas d'ombres, couleurs en cache, 30 fps en veille, arrêt fenêtre masquée) |
+| Reconnaissance vocale locale | Fait | Whisper base/small/turbo via sherpa-onnx dans un processus utilitaire |
+| Synthèse vocale locale | Fait | Kokoro v1.0 (voix française Siwis) et Piper fr |
+| Mot d'activation permanent | Fait (2.2.0) | Keyword spotting sherpa-onnx en continu ; mot-clé libre encodé en BPE ; validé sur audio réel (détection, zéro faux positif sur le test anglais) |
+| Mot d'activation après transcription | Fait | Filtre « Jarvis … » en mains libres, tolérant aux erreurs de transcription |
+| Détection de fin de phrase | Fait (2.3.0) | Silero VAD neuronal dans le worker (segment renvoyé au renderer), repli sur le VAD énergétique si le modèle manque |
+| Vision d'écran | Fait (2.3.0) | Capture `desktopCapturer` jointe à la requête Hermes (bouton, ou « regarde mon écran ») |
+| Actions système locales | Fait (2.3.0) | Verrouillage, volume et touches média, ouvrir une application ou une URL, presse-papiers, recherche de fichiers ; intentions courtes exécutées sans passer par Hermes |
+| Hermes : runs, sessions, chat completions | Fait | Transport choisi selon `/v1/capabilities` |
+| Approbations, steer, stop | Fait | Modales, injection de consigne en cours de run |
+| Crons, skills, toolsets, sessions | Fait | Panneau Hermes Ops |
+| Webhook local (Telegram, crons) | Fait | Loopback par défaut, secret pour le LAN |
+| Télémétrie réelle | Fait | CPU, RAM, fréquence, FPS, uptime |
+
+## Ce que les meilleurs projets « Jarvis » de 2026 font en plus
+
+Sources : [jarvis-desktop-ai](https://github.com/ccarloshenri/jarvis-desktop-ai), [JarvisAi](https://github.com/PanPenek/JarvisAi), [bertrandmbanwi/Jarvis](https://github.com/bertrandmbanwi/Jarvis), [InterGenJLU/jarvis](https://github.com/InterGenJLU/jarvis), [livekit-wakeword](https://livekit.com/blog/livekit-wakeword), [sherpa-onnx keyword spotting](https://k2-fsa.github.io/sherpa/onnx/kws/index.html), [Hermes Agent features](https://hermes-agent.nousresearch.com/docs/user-guide/features/overview).
+
+1. **Mot d'activation permanent, quasi gratuit en CPU.** Les projets de référence utilisent openWakeWord (« hey jarvis ») ou un modèle de keyword spotting qui écoute en continu, au lieu de transcrire chaque phrase. sherpa-onnx fournit un modèle KWS anglais de 3,3 Mo qui accepte n'importe quel mot-clé sans réentraînement ; « JARVIS » s'encode `▁JA R VI S` avec son modèle BPE (vérifié). Livré en 2.2.0 (voir l'étape 1 ci-dessous).
+2. **VAD neuronal (Silero) au lieu du seuil d'énergie.** Fin de phrase plus nette (environ 500 ms gagnés) et beaucoup moins de faux départs sur le bruit ambiant. Silero est déjà livré dans sherpa-onnx (`silero_vad.onnx`, 0,6 Mo). Livré en 2.3.0.
+3. **Latence perçue sous la seconde.** Les références visent 1 s entre la fin de parole et le premier mot prononcé : STT rapide, premier token en streaming, TTS phrase par phrase (déjà en place), et un modèle Hermes rapide pour la conversation courante.
+4. **Vision d'écran.** Capture d'écran à la demande (« Jarvis, qu'est-ce que je regarde ? ») envoyée à Hermes comme image, ou lecture d'une fenêtre. Hermes accepte déjà les images inline. Livré en 2.3.0 (transport chat completions pour les images).
+5. **Actions système locales.** Ouvrir une application, régler le volume, verrouiller la session, chercher un fichier. Livré en 2.3.0 sous forme d'intentions courtes exécutées localement avant Hermes ; reste à exposer les mêmes actions à Hermes via un serveur MCP local.
+6. **Proactivité.** Notifications parlées à l'arrivée d'un cron, rappel, événement webhook, avec un résumé plutôt que la lecture intégrale ; c'est en partie fait via le webhook, à enrichir avec des règles (heures calmes, priorité).
+7. **Mémoire et personnalisation.** Hermes gère la mémoire longue durée (`X-Hermes-Session-Key`) ; côté EveFlow, un profil (nom, préférences de voix, style de réponse) déjà transmis dans les instructions.
+
+## Plan proposé
+
+### Étape 1 : écoute permanente — livrée en 2.2.0
+- Le renderer garde un seul flux micro (AudioWorklet 16 kHz) et envoie des blocs de 256 ms au processus principal, qui alimente le `KeywordSpotter` sherpa-onnx dans le worker.
+- Mots-clés encodés en BPE (table SentencePiece pour les mots courants, repli glouton sur le vocabulaire du modèle), sensibilité réglable (seuil 0,45 → 0,12).
+- À la détection : chime, capture de la commande sur le même flux (VAD énergétique, pré-roll 400 ms), transcription locale ou API, envoi à Hermes ; retour automatique à l'écoute.
+- Fin de phrase Silero livrée en 2.3.0 : le renderer envoie des trames de 128 ms au worker pendant la commande, le worker renvoie le segment WAV complet ; VAD énergétique en repli.
+
+### Étape 2 : vision et actions locales — livrée en 2.3.0
+- Capture d'écran (`desktopCapturer`, JPEG 1600 px) jointe à la requête Hermes : bouton dans la barre de commande, ou phrase « regarde mon écran… » à l'oral comme à l'écrit.
+- Actions locales (processus principal, liste blanche) : verrouiller, volume/mute/lecture/piste, ouvrir une application connue ou une URL http(s), presse-papiers, recherche de fichiers dans Documents/Bureau/Téléchargements/Images.
+- Routeur d'intentions FR/EN (`src/services/localCommands.ts`) exécuté avant l'envoi à Hermes ; désactivable dans Paramètres → Micro. Les phrases composées (« ouvre X puis… ») partent à Hermes.
+- Reste à faire : exposer ces actions à Hermes lui-même (serveur MCP local) pour qu'un run puisse les enchaîner.
+
+### Étape 3 : conversation plus naturelle
+- Barge-in réel : couper la voix dès que l'utilisateur parle (déjà préparé, à valider avec l'annulation d'écho Windows).
+- Réponses courtes à l'oral, détails à l'écran : instruction Hermes dédiée déjà en place, à affiner avec des consignes de format (« deux phrases à l'oral, détails en Markdown »).
+- Modèle rapide pour le bavardage, modèle puissant pour les missions (choix par transport ou par mot-clé).
+
+### Étape 4 : présence
+- Widget compact « glanceable » : dernière phrase, état, badge d'alertes.
+- Heures calmes, priorité des notifications, résumé vocal des crons.
+- Thèmes et voix par contexte (nuit, travail).
+
+## Résultats du test de bout en bout (Linux, Xvfb, 4 cœurs lents)
+
+| Étape | Résultat |
+|---|---|
+| Pont Electron, télémétrie, webhook | OK |
+| Conversation via runs (streaming, outils, sous-agent) | OK |
+| Kokoro (fr) → Whisper base, phrase courte de 2 s | synthèse 2,9 s, transcription 2,5 s, texte approximatif |
+| Kokoro (fr) → Whisper base, phrase de 7 s | transcription correcte à un mot près |
+| Piper (fr) → Whisper base | transcription exacte |
+| Silero VAD sur phrase Kokoro de 2,3 s (2.3.0) | un seul segment, début et fin détectés, 6,7 s d'audio traités en 190 ms |
+| Capture d'écran → Hermes (2.3.0) | JPEG de 107 ko reçu côté Hermes (mock chat completions) |
+| Intention locale « coupe le son » (2.3.0) | traitée sans Hermes, résultat affiché dans le fil |
+
+Sur un PC à 28 cœurs les temps sont nettement plus courts. Whisper small est maintenant recommandé pour le français.

electron/ipc/files.ts

@@ -0,0 +1,169 @@
+import { app, ipcMain, shell } from 'electron';
+import fs from 'node:fs';
+import os from 'node:os';
+import path from 'node:path';
+import { IPC } from '../../shared/ipc';
+import { log } from '../logger';
+
+const READABLE_EXT: Record<string, string> = {
+  '.png': 'image/png',
+  '.jpg': 'image/jpeg',
+  '.jpeg': 'image/jpeg',
+  '.gif': 'image/gif',
+  '.webp': 'image/webp',
+  '.svg': 'image/svg+xml',
+  '.bmp': 'image/bmp',
+  '.txt': 'text/plain',
+  '.log': 'text/plain',
+  '.csv': 'text/csv',
+  '.json': 'application/json',
+  '.md': 'text/markdown',
+  '.xml': 'application/xml',
+  '.html': 'text/html'
+};
+
+/** Documents and media the assistant may open with the default application. */
+const OPENABLE_EXT = new Set([
+  ...Object.keys(READABLE_EXT),
+  '.pdf', '.docx', '.doc', '.xlsx', '.xls', '.pptx', '.ppt', '.odt', '.ods', '.odp', '.rtf',
+  '.mp3', '.wav', '.ogg', '.flac', '.mp4', '.mkv', '.webm', '.zip', '.7z', '.py', '.ts', '.tsx', '.yaml', '.yml', '.toml', '.ini'
+]);
+
+const FORBIDDEN_EXT = new Set([
+  '.exe', '.bat', '.cmd', '.ps1', '.vbs', '.msi', '.scr', '.pif', '.reg', '.sh', '.com', '.hta', '.vbe', '.wsf', '.lnk',
+  '.jar', '.dll', '.js', '.jse', '.pyw', '.msc', '.cpl', '.inf', '.url', '.scf', '.website', '.appref-ms', '.application',
+  '.gadget', '.psm1', '.psd1', '.ps1xml', '.wsh', '.wsc', '.sct', '.desktop', '.app', '.command', '.appimage', '.run'
+]);
+
+const WIN_RESERVED = /^(CON|PRN|AUX|NUL|COM[1-9]|LPT[1-9])(\..*)?$/i;
+
+let sharedDir: string | null = null;
+
+export function getSharedDirectory(): string {
+  if (sharedDir && fs.existsSync(sharedDir)) return sharedDir;
+  const candidates = [
+    path.join(os.homedir(), 'Documents', 'EveFlow_Shared'),
+    path.join(app.getPath('userData'), 'shared')
+  ];
+  for (const dir of candidates) {
+    try {
+      fs.mkdirSync(dir, { recursive: true });
+      sharedDir = dir;
+      return dir;
+    } catch {
+      /* try next candidate */
+    }
+  }
+  sharedDir = app.getPath('temp');
+  return sharedDir;
+}
+
+function normalizeSafe(filePath: string): string {
+  if (!filePath || typeof filePath !== 'string' || filePath.length > 4096) throw new Error('Chemin invalide');
+  const normalized = path.normalize(filePath);
+  if (normalized.split(/[\\/]/).includes('..')) throw new Error('Traversee de repertoire refusee');
+  return normalized;
+}
+
+function allowedRoots(): string[] {
+  return [
+    getSharedDirectory(),
+    path.join(os.homedir(), 'Documents'),
+    path.join(os.homedir(), 'Pictures'),
+    path.join(os.homedir(), 'Downloads'),
+    path.join(os.homedir(), 'Desktop'),
+    app.getPath('temp')
+  ].map((r) => path.resolve(r));
+}
+
+function isInside(root: string, target: string): boolean {
+  const rel = path.relative(root, target);
+  return rel === '' || (!rel.startsWith('..') && !path.isAbsolute(rel));
+}
+
+/** Resolves symlinks and checks the real path against the allowed roots (prefix tricks like "bob-backup" are rejected). */
+function isInsideAllowedRoots(target: string): boolean {
+  let resolved: string;
+  try {
+    resolved = fs.realpathSync.native(target);
+  } catch {
+    return false;
+  }
+  return allowedRoots().some((root) => isInside(root, resolved));
+}
+
+function stripFileScheme(value: string): string {
+  if (!/^file:\/\//i.test(value)) return value;
+  let out = value.replace(/^file:\/\//i, '');
+  // file:///C:/x -> /C:/x on Windows-style paths
+  if (/^\/[a-zA-Z]:/.test(out)) out = out.slice(1);
+  try {
+    return decodeURIComponent(out);
+  } catch {
+    return out;
+  }
+}
+
+export function registerFilesIpc(): void {
+  ipcMain.handle(IPC.readLocalFile, async (_e, filePath: string) => {
+    const target = normalizeSafe(stripFileScheme(filePath));
+    const ext = path.extname(target).toLowerCase();
+    const mime = READABLE_EXT[ext];
+    if (!mime) throw new Error(`Type de fichier non autorise : ${ext || '(aucune extension)'}`);
+    if (!isInsideAllowedRoots(target)) throw new Error('Chemin hors des dossiers autorises');
+    const stat = await fs.promises.stat(target);
+    if (stat.size > 25 * 1024 * 1024) throw new Error('Fichier trop volumineux (25 Mo max)');
+    const content = await fs.promises.readFile(target);
+    return `data:${mime};base64,${content.toString('base64')}`;
+  });
+
+  ipcMain.handle(IPC.writeSharedFile, async (_e, filename: string, content: string, isBase64 = false) => {
+    if (!filename || typeof filename !== 'string') throw new Error('Nom de fichier invalide');
+    if (typeof content !== 'string' || content.length > 50 * 1024 * 1024) throw new Error('Contenu invalide');
+    const safeName = path.basename(filename);
+    if (
+      safeName !== filename ||
+      safeName.startsWith('.') ||
+      /[<>:"|?*\u0000-\u001f]/.test(safeName) ||
+      WIN_RESERVED.test(safeName) ||
+      /[. ]$/.test(safeName) ||
+      safeName.length > 200
+    ) {
+      throw new Error('Nom de fichier non securise');
+    }
+    const ext = path.extname(safeName).toLowerCase();
+    if (FORBIDDEN_EXT.has(ext)) throw new Error(`Extension interdite : ${ext}`);
+    const target = path.join(getSharedDirectory(), safeName);
+    if (isBase64) {
+      const payload = content.replace(/^data:[^;]+;base64,/, '');
+      await fs.promises.writeFile(target, Buffer.from(payload, 'base64'));
+    } else {
+      await fs.promises.writeFile(target, content, 'utf8');
+    }
+    log('INFO', 'files', `shared file written: ${target}`);
+    return { path: target, url: `file:///${target.replace(/\\/g, '/')}` };
+  });
+
+  ipcMain.handle(IPC.openPath, async (_e, filePath: string) => {
+    const target = normalizeSafe(stripFileScheme(filePath));
+    if (!fs.existsSync(target)) throw new Error('Fichier introuvable');
+    const real = await fs.promises.realpath(target);
+    const stat = await fs.promises.stat(real);
+    const ext = path.extname(real).toLowerCase();
+    if (!stat.isDirectory() && (FORBIDDEN_EXT.has(ext) || !OPENABLE_EXT.has(ext))) throw new Error(`Ouverture refusee pour ${ext || 'ce fichier'}`);
+    // Outside the user's document folders we only reveal the file, never execute its handler.
+    if (!isInsideAllowedRoots(real)) {
+      shell.showItemInFolder(real);
+      return true;
+    }
+    const result = await shell.openPath(real);
+    if (result) throw new Error(result);
+    return true;
+  });
+
+  ipcMain.handle(IPC.showInFolder, async (_e, filePath: string) => {
+    const target = normalizeSafe(stripFileScheme(filePath));
+    shell.showItemInFolder(target);
+    return true;
+  });
+}

electron/ipc/http.ts

@@ -0,0 +1,168 @@
+/**
+ * HTTP proxy: the renderer never talks to the network directly (webSecurity stays ON).
+ * Every request to Hermes / STT / TTS endpoints flows through here, which also removes
+ * CORS and mixed-content restrictions for LAN services served over plain HTTP.
+ */
+import { ipcMain, type WebContents } from 'electron';
+import {
+  IPC,
+  type HttpProxyRequest,
+  type HttpProxyResponse,
+  type HttpStreamStart,
+  type HttpStreamEvent
+} from '../../shared/ipc';
+import { log } from '../logger';
+
+const activeStreams = new Map<string, AbortController>();
+
+function assertUrl(url: string): URL {
+  let parsed: URL;
+  try {
+    parsed = new URL(url);
+  } catch {
+    throw new Error(`URL invalide : ${url}`);
+  }
+  if (parsed.protocol !== 'http:' && parsed.protocol !== 'https:') {
+    throw new Error(`Protocole non autorise : ${parsed.protocol}`);
+  }
+  return parsed;
+}
+
+function buildInit(req: HttpProxyRequest, signal: AbortSignal): RequestInit {
+  const headers: Record<string, string> = { ...(req.headers ?? {}) };
+  let body: RequestInit['body'];
+  if (req.multipart) {
+    const form = new FormData();
+    for (const [k, v] of Object.entries(req.multipart.fields)) form.append(k, v);
+    const file = req.multipart.file;
+    const bytes = new Uint8Array(file.data);
+    form.append(req.multipart.fileField ?? 'file', new Blob([bytes], { type: file.type }), file.name);
+    body = form;
+    for (const key of Object.keys(headers)) {
+      if (key.toLowerCase() === 'content-type') delete headers[key];
+    }
+  } else if (req.body !== undefined) {
+    body = req.body;
+  }
+  return { method: req.method ?? 'GET', headers, body, signal };
+}
+
+function headersToObject(headers: Headers): Record<string, string> {
+  const out: Record<string, string> = {};
+  headers.forEach((v, k) => {
+    out[k.toLowerCase()] = v;
+  });
+  return out;
+}
+
+export async function proxyFetch(req: HttpProxyRequest): Promise<HttpProxyResponse> {
+  assertUrl(req.url);
+  const controller = new AbortController();
+  const timeoutMs = req.timeoutMs ?? 60_000;
+  const timer = setTimeout(() => controller.abort(), timeoutMs);
+  try {
+    const response = await fetch(req.url, buildInit(req, controller.signal));
+    const base = {
+      ok: response.ok,
+      status: response.status,
+      statusText: response.statusText,
+      headers: headersToObject(response.headers)
+    };
+    if (req.responseType === 'binary') {
+      return { ...base, binary: new Uint8Array(await response.arrayBuffer()) };
+    }
+    return { ...base, text: await response.text() };
+  } catch (err) {
+    const e = err as Error;
+    if (e.name === 'AbortError') throw new Error(`Delai depasse (${Math.round(timeoutMs / 1000)}s) : ${req.url}`);
+    throw new Error(e.message || String(err));
+  } finally {
+    clearTimeout(timer);
+  }
+}
+
+async function startStream(sender: WebContents, id: string, req: HttpProxyRequest): Promise<HttpStreamStart> {
+  assertUrl(req.url);
+  const controller = new AbortController();
+  activeStreams.set(id, controller);
+  const send = (event: HttpStreamEvent) => {
+    if (!sender.isDestroyed()) sender.send(IPC.httpStreamEvent, event);
+  };
+
+  let response: Response;
+  try {
+    response = await fetch(req.url, buildInit(req, controller.signal));
+  } catch (err) {
+    activeStreams.delete(id);
+    throw new Error((err as Error).message || String(err));
+  }
+
+  const start: HttpStreamStart = {
+    id,
+    ok: response.ok,
+    status: response.status,
+    statusText: response.statusText,
+    headers: headersToObject(response.headers)
+  };
+
+  const onDestroyed = () => controller.abort();
+  sender.once('destroyed', onDestroyed);
+  const pump = async () => {
+    try {
+      if (!response.body) {
+        send({ id, type: 'end' });
+        return;
+      }
+      const reader = response.body.getReader();
+      const decoder = new TextDecoder();
+      // Hermes runs can be long, but a totally silent stream is abandoned after the idle timeout.
+      const idleMs = req.timeoutMs ?? 10 * 60_000;
+      for (;;) {
+        let idleTimer: ReturnType<typeof setTimeout> | undefined;
+        const idle = new Promise<never>((_, reject) => {
+          idleTimer = setTimeout(() => reject(new Error('Flux silencieux (timeout)')), idleMs);
+        });
+        const { done, value } = await Promise.race([reader.read(), idle]);
+        if (idleTimer) clearTimeout(idleTimer);
+        if (done) break;
+        send({ id, type: 'chunk', text: decoder.decode(value, { stream: true }) });
+      }
+      const tail = decoder.decode();
+      if (tail) send({ id, type: 'chunk', text: tail });
+      send({ id, type: 'end' });
+    } catch (err) {
+      const e = err as Error;
+      if (e.name === 'AbortError') send({ id, type: 'end' });
+      else send({ id, type: 'error', message: e.message || String(err) });
+    } finally {
+      // Releases the socket when we bailed out early (idle timeout, renderer gone).
+      controller.abort();
+      sender.removeListener('destroyed', onDestroyed);
+      if (activeStreams.get(id) === controller) activeStreams.delete(id);
+    }
+  };
+  void pump();
+  return start;
+}
+
+export function abortAllStreams(): void {
+  for (const controller of activeStreams.values()) controller.abort();
+  activeStreams.clear();
+}
+
+export function registerHttpIpc(): void {
+  ipcMain.handle(IPC.httpFetch, (_e, req: HttpProxyRequest) => proxyFetch(req));
+  ipcMain.handle(IPC.httpStreamStart, (event, id: unknown, req: HttpProxyRequest) => {
+    if (typeof id !== 'string' || !id || id.length > 64 || activeStreams.has(id)) throw new Error('Identifiant de flux invalide');
+    if (!req || typeof req.url !== 'string') throw new Error('Requête invalide');
+    return startStream(event.sender, id, req);
+  });
+  ipcMain.on(IPC.httpStreamAbort, (_e, id: string) => {
+    const controller = activeStreams.get(id);
+    if (controller) {
+      controller.abort();
+      activeStreams.delete(id);
+      log('DEBUG', 'http', `stream ${id} aborted by renderer`);
+    }
+  });
+}

electron/ipc/store.ts

@@ -0,0 +1,103 @@
+import { app, ipcMain } from 'electron';
+import fs from 'node:fs';
+import path from 'node:path';
+import { IPC } from '../../shared/ipc';
+import { log } from '../logger';
+
+type StoreData = Record<string, unknown>;
+
+let cache: StoreData | null = null;
+let dirty = false;
+let timer: ReturnType<typeof setTimeout> | null = null;
+let writing: Promise<void> = Promise.resolve();
+
+const FORBIDDEN_KEYS = new Set(['__proto__', 'constructor', 'prototype']);
+
+function storePath(): string {
+  return path.join(app.getPath('userData'), 'userdata.json');
+}
+
+function load(): StoreData {
+  if (cache) return cache;
+  const target = storePath();
+  try {
+    cache = JSON.parse(fs.readFileSync(target, 'utf8')) as StoreData;
+  } catch (err) {
+    if ((err as NodeJS.ErrnoException).code !== 'ENOENT') {
+      // Keep a copy of an unreadable file instead of silently overwriting it.
+      try {
+        fs.copyFileSync(target, `${target}.corrupt-${Date.now()}`);
+      } catch {
+        /* ignore */
+      }
+      log('WARN', 'store', `userdata.json unreadable, starting fresh: ${(err as Error).message}`);
+    }
+    cache = {};
+  }
+  return cache;
+}
+
+/** Debounced, asynchronous, atomic write with retries (Windows AV scanners lock files briefly). */
+function schedulePersist(): void {
+  dirty = true;
+  if (!timer) timer = setTimeout(() => void flushStore(), 250);
+}
+
+export function flushStore(): Promise<void> {
+  if (timer) {
+    clearTimeout(timer);
+    timer = null;
+  }
+  if (!dirty) return writing;
+  dirty = false;
+  const text = JSON.stringify(cache ?? {}, null, 2);
+  writing = writing
+    .then(async () => {
+      const target = storePath();
+      const tmp = `${target}.tmp`;
+      await fs.promises.writeFile(tmp, text, 'utf8');
+      for (let attempt = 0; ; attempt++) {
+        try {
+          await fs.promises.rename(tmp, target);
+          return;
+        } catch (err) {
+          if (attempt >= 5) throw err;
+          await new Promise((r) => setTimeout(r, 100 * (attempt + 1)));
+        }
+      }
+    })
+    .catch((err) => log('ERROR', 'store', `cannot persist userdata.json: ${(err as Error).message}`));
+  return writing;
+}
+
+export function storeGet<T = unknown>(key: string): T | null {
+  const data = load();
+  return (data[key] as T) ?? null;
+}
+
+export function storeSet(key: string, value: unknown): void {
+  const data = load();
+  data[key] = value;
+  schedulePersist();
+}
+
+function validKey(key: unknown): key is string {
+  return typeof key === 'string' && key.length > 0 && key.length <= 128 && !FORBIDDEN_KEYS.has(key);
+}
+
+export function registerStoreIpc(): void {
+  ipcMain.handle(IPC.storeGet, (_e, key: unknown) => (validKey(key) ? storeGet(key) : null));
+  ipcMain.handle(IPC.storeSet, (_e, key: unknown, value: unknown) => {
+    if (!validKey(key)) throw new Error('Clé de stockage invalide');
+    if (typeof value === 'function' || typeof value === 'symbol') throw new Error('Valeur non sérialisable');
+    storeSet(key, value);
+    return true;
+  });
+  ipcMain.handle(IPC.storeDelete, (_e, key: unknown) => {
+    if (!validKey(key)) return false;
+    const data = load();
+    delete data[key];
+    schedulePersist();
+    return true;
+  });
+}

electron/ipc/system.ts

@@ -0,0 +1,184 @@
+/**
+ * Local "JARVIS" actions: screenshot for vision, and an allow-list of system actions
+ * (lock, open an application or URL, media keys, clipboard, file search).
+ */
+import { app, clipboard, desktopCapturer, ipcMain, screen, shell } from 'electron';
+import { execFile } from 'node:child_process';
+import fs from 'node:fs';
+import os from 'node:os';
+import path from 'node:path';
+import { IPC } from '../../shared/ipc';
+import type { SystemAction, SystemActionResult } from '../../shared/bridge';
+import { log } from '../logger';
+
+const MEDIA_KEYS: Record<string, number> = {
+  'volume-up': 175,
+  'volume-down': 174,
+  mute: 173,
+  'play-pause': 179,
+  next: 176,
+  previous: 177
+};
+
+/** Applications the assistant may launch by name (Windows aliases + common Linux/macOS names). */
+const APP_ALIASES: Record<string, string[]> = {
+  'bloc-notes': ['notepad.exe', 'gedit', 'TextEdit'],
+  notepad: ['notepad.exe', 'gedit', 'TextEdit'],
+  calculatrice: ['calc.exe', 'gnome-calculator', 'Calculator'],
+  calc: ['calc.exe', 'gnome-calculator', 'Calculator'],
+  explorateur: ['explorer.exe', 'nautilus', 'Finder'],
+  explorer: ['explorer.exe', 'nautilus', 'Finder'],
+  terminal: ['wt.exe', 'cmd.exe', 'gnome-terminal', 'Terminal'],
+  cmd: ['cmd.exe'],
+  powershell: ['powershell.exe'],
+  paint: ['mspaint.exe'],
+  chrome: ['chrome', 'google-chrome', 'Google Chrome'],
+  edge: ['msedge', 'microsoft-edge', 'Microsoft Edge'],
+  firefox: ['firefox', 'Firefox'],
+  vscode: ['code', 'Visual Studio Code'],
+  code: ['code', 'Visual Studio Code'],
+  spotify: ['spotify', 'Spotify'],
+  discord: ['discord', 'Discord'],
+  steam: ['steam', 'Steam'],
+  word: ['winword', 'Microsoft Word'],
+  excel: ['excel', 'Microsoft Excel'],
+  outlook: ['outlook', 'Microsoft Outlook'],
+  teams: ['ms-teams', 'Microsoft Teams'],
+  'task manager': ['taskmgr.exe'],
+  'gestionnaire des tâches': ['taskmgr.exe'],
+  paramètres: ['ms-settings:'],
+  settings: ['ms-settings:']
+};
+
+function run(cmd: string, args: string[], timeoutMs = 8000): Promise<{ code: number; out: string }> {
+  return new Promise((resolve) => {
+    execFile(cmd, args, { timeout: timeoutMs, windowsHide: true }, (err, stdout, stderr) => {
+      resolve({ code: err ? 1 : 0, out: `${stdout}${stderr}`.trim() });
+    });
+  });
+}
+
+async function openApp(name: string): Promise<SystemActionResult> {
+  const key = name.trim().toLowerCase();
+  if (!key || key.length > 40) return { ok: false, message: 'Nom d’application invalide' };
+  const candidates = APP_ALIASES[key] ?? [key.replace(/[^a-z0-9 ._-]/gi, '')];
+  if (process.platform === 'win32') {
+    for (const candidate of candidates) {
+      if (candidate.endsWith(':')) {
+        await shell.openExternal(candidate);
+        return { ok: true, message: `${name} ouvert` };
+      }
+      // `start` resolves App Paths, PATH and Start Menu names.
+      const result = await run('cmd.exe', ['/c', 'start', '', candidate]);
+      if (result.code === 0) return { ok: true, message: `${name} lancé` };
+    }
+    return { ok: false, message: `Impossible de lancer ${name}` };
+  }
+  for (const candidate of candidates) {
+    const result = process.platform === 'darwin' ? await run('open', ['-a', candidate]) : await run('sh', ['-c', `command -v ${JSON.stringify(candidate)} >/dev/null && (nohup ${JSON.stringify(candidate)} >/dev/null 2>&1 &)`]);
+    if (result.code === 0) return { ok: true, message: `${name} lancé` };
+  }
+  return { ok: false, message: `Application introuvable : ${name}` };
+}
+
+async function lockSession(): Promise<SystemActionResult> {
+  if (process.platform === 'win32') {
+    const r = await run('rundll32.exe', ['user32.dll,LockWorkStation']);
+    return { ok: r.code === 0, message: r.code === 0 ? 'Session verrouillée' : r.out };
+  }
+  if (process.platform === 'darwin') {
+    const r = await run('osascript', ['-e', 'tell application "System Events" to keystroke "q" using {command down, control down}']);
+    return { ok: r.code === 0, message: r.out };
+  }
+  const r = await run('sh', ['-c', 'loginctl lock-session || xdg-screensaver lock || gnome-screensaver-command -l']);
+  return { ok: r.code === 0, message: r.code === 0 ? 'Session verrouillée' : r.out };
+}
+
+async function mediaKey(key: string): Promise<SystemActionResult> {
+  const code = MEDIA_KEYS[key];
+  if (!code) return { ok: false, message: 'Touche inconnue' };
+  if (process.platform === 'win32') {
+    const script = `$s=Add-Type -MemberDefinition '[DllImport("user32.dll")] public static extern void keybd_event(byte b,byte s,uint f,UIntPtr e);' -Name K -Namespace W -PassThru; $s::keybd_event(${code},0,0,[UIntPtr]::Zero); $s::keybd_event(${code},0,2,[UIntPtr]::Zero)`;
+    const r = await run('powershell.exe', ['-NoProfile', '-NonInteractive', '-Command', script]);
+    return { ok: r.code === 0, message: r.code === 0 ? key : r.out };
+  }
+  const xdo: Record<string, string> = { 'volume-up': 'XF86AudioRaiseVolume', 'volume-down': 'XF86AudioLowerVolume', mute: 'XF86AudioMute', 'play-pause': 'XF86AudioPlay', next: 'XF86AudioNext', previous: 'XF86AudioPrev' };
+  const r = await run('sh', ['-c', `xdotool key ${xdo[key]}`]);
+  return { ok: r.code === 0, message: r.code === 0 ? key : 'xdotool indisponible' };
+}
+
+async function findFiles(query: string): Promise<SystemActionResult> {
+  const needle = query.trim().toLowerCase();
+  if (needle.length < 2) return { ok: false, message: 'Recherche trop courte' };
+  const roots = ['Documents', 'Desktop', 'Downloads', 'Pictures'].map((d) => path.join(os.homedir(), d));
+  const hits: string[] = [];
+  const deadline = Date.now() + 4000;
+  const walk = async (dir: string, depth: number) => {
+    if (depth > 4 || hits.length >= 25 || Date.now() > deadline) return;
+    let entries: fs.Dirent[] = [];
+    try {
+      entries = await fs.promises.readdir(dir, { withFileTypes: true });
+    } catch {
+      return;
+    }
+    for (const entry of entries) {
+      if (entry.name.startsWith('.') || entry.name === 'node_modules') continue;
+      const full = path.join(dir, entry.name);
+      if (entry.name.toLowerCase().includes(needle)) hits.push(full);
+      if (entry.isDirectory()) await walk(full, depth + 1);
+      if (hits.length >= 25) return;
+    }
+  };
+  for (const root of roots) await walk(root, 0);
+  return { ok: true, message: `${hits.length} résultat(s)`, data: hits };
+}
+
+export async function captureScreen(maxWidth = 1600): Promise<string> {
+  const display = screen.getPrimaryDisplay();
+  const scale = Math.min(1, maxWidth / display.size.width);
+  const sources = await desktopCapturer.getSources({
+    types: ['screen'],
+    thumbnailSize: { width: Math.round(display.size.width * scale), height: Math.round(display.size.height * scale) }
+  });
+  const primary = sources.find((s) => s.display_id === String(display.id)) ?? sources[0];
+  if (!primary) throw new Error('Aucun écran capturable');
+  return primary.thumbnail.toJPEG(82).toString('base64').replace(/^/, 'data:image/jpeg;base64,');
+}
+
+export async function runSystemAction(action: SystemAction): Promise<SystemActionResult> {
+  switch (action.type) {
+    case 'lock':
+      return lockSession();
+    case 'open-app':
+      return openApp(String(action.name ?? ''));
+    case 'open-url': {
+      const url = String(action.url ?? '');
+      if (!/^https?:\/\//i.test(url) || url.length > 2048) return { ok: false, message: 'URL refusée' };
+      await shell.openExternal(url);
+      return { ok: true, message: 'Ouvert dans le navigateur' };
+    }
+    case 'media':
+      return mediaKey(String(action.key));
+    case 'clipboard-read':
+      return { ok: true, data: (await clipboard.readText()).slice(0, 20_000) };
+    case 'clipboard-write':
+      await clipboard.writeText(String(action.text ?? '').slice(0, 100_000));
+      return { ok: true, message: 'Copié dans le presse-papiers' };
+    case 'find-files':
+      return findFiles(String(action.query ?? ''));
+    default:
+      return { ok: false, message: 'Action inconnue' };
+  }
+}
+
+export function registerSystemIpc(): void {
+  ipcMain.handle(IPC.screenCapture, (_e, maxWidth?: number) => captureScreen(Number(maxWidth) || 1600));
+  ipcMain.handle(IPC.systemAction, async (_e, action: SystemAction) => {
+    if (!action || typeof action.type !== 'string') throw new Error('Action invalide');
+    log('INFO', 'system', `action ${action.type}`);
+    const result = await runSystemAction(action);
+    if (!result.ok) log('WARN', 'system', `action ${action.type} failed: ${result.message}`);
+    return result;
+  });
+  void app;
+}

electron/ipc/telemetry.ts

@@ -0,0 +1,51 @@
+import { ipcMain } from 'electron';
+import os from 'node:os';
+import { IPC, type SystemMetrics } from '../../shared/ipc';
+
+interface CpuSnapshot {
+  idle: number;
+  total: number;
+}
+
+function snapshot(): CpuSnapshot {
+  let idle = 0;
+  let total = 0;
+  for (const cpu of os.cpus()) {
+    const t = cpu.times;
+    idle += t.idle;
+    total += t.user + t.nice + t.sys + t.idle + t.irq;
+  }
+  return { idle, total };
+}
+
+let last = snapshot();
+
+function cpuLoadPct(): number {
+  const now = snapshot();
+  const idleDiff = now.idle - last.idle;
+  const totalDiff = now.total - last.total;
+  last = now;
+  if (totalDiff <= 0) return 0;
+  return Math.max(0, Math.min(100, 100 * (1 - idleDiff / totalDiff)));
+}
+
+export function collectMetrics(): SystemMetrics {
+  const cpus = os.cpus();
+  const totalMem = os.totalmem();
+  const freeMem = os.freemem();
+  return {
+    hostname: os.hostname().toUpperCase(),
+    platform: `${os.platform()} ${os.release()}`,
+    cpuModel: cpus[0]?.model?.trim() ?? 'CPU',
+    cpuCores: cpus.length,
+    cpuLoad: Math.round(cpuLoadPct() * 10) / 10,
+    cpuFreqMhz: cpus[0]?.speed ?? 0,
+    memUsedPct: totalMem > 0 ? Math.round(((totalMem - freeMem) / totalMem) * 1000) / 10 : 0,
+    memTotalGb: Math.round((totalMem / 1024 ** 3) * 10) / 10,
+    uptimeSec: Math.round(os.uptime())
+  };
+}
+
+export function registerTelemetryIpc(): void {
+  ipcMain.handle(IPC.metrics, () => collectMetrics());
+}

electron/logger.ts

@@ -0,0 +1,69 @@
+import { app } from 'electron';
+import fs from 'node:fs';
+import path from 'node:path';
+import type { LogEntry } from '../shared/ipc';
+
+const MAX_LOG_BYTES = 5 * 1024 * 1024;
+
+let stream: fs.WriteStream | null = null;
+let written = 0;
+
+export function getLogPath(): string {
+  return path.join(app.getPath('userData'), 'eveflow.log');
+}
+
+function output(): fs.WriteStream {
+  if (!stream) {
+    const target = getLogPath();
+    try {
+      written = fs.statSync(target).size;
+    } catch {
+      written = 0;
+    }
+    stream = fs.createWriteStream(target, { flags: 'a' });
+    stream.on('error', (err) => console.error('[logger] write failed:', err.message));
+  }
+  return stream;
+}
+
+function rotate(): void {
+  const target = getLogPath();
+  stream?.end();
+  stream = null;
+  try {
+    fs.renameSync(target, `${target}.old`);
+  } catch {
+    /* ignore */
+  }
+  written = 0;
+}
+
+export function writeLog(entry: LogEntry): void {
+  try {
+    const data = entry.data !== undefined ? ' | ' + safeJson(entry.data) : '';
+    const line = `[${entry.ts}] [${entry.level}] [${entry.tag}] ${entry.message}${data}\n`;
+    written += Buffer.byteLength(line);
+    if (written > MAX_LOG_BYTES) rotate();
+    output().write(line);
+  } catch (err) {
+    console.error('[logger] cannot write log file:', (err as Error).message);
+  }
+}
+
+export function log(level: LogEntry['level'], tag: string, message: string, data?: unknown): void {
+  const entry: LogEntry = { ts: new Date().toISOString(), level, tag, message, data };
+  const consoleLine = `[${tag}] ${message}`;
+  if (level === 'ERROR') console.error(consoleLine, data ?? '');
+  else if (level === 'WARN') console.warn(consoleLine, data ?? '');
+  else console.log(consoleLine, data ?? '');
+  writeLog(entry);
+}
+
+function safeJson(value: unknown): string {
+  try {
+    const text = JSON.stringify(value);
+    return text.length > 4000 ? text.slice(0, 4000) + '...' : text;
+  } catch {
+    return String(value);
+  }
+}

electron/main.ts

@@ -0,0 +1,189 @@
+import { app, BrowserWindow, globalShortcut, ipcMain, Menu, nativeImage, session, systemPreferences, Tray } from 'electron';
+import path from 'node:path';
+import { IPC, type AppInfo, type HotkeyEvent, type LogEntry, type WindowMode } from '../shared/ipc';
+import { getLogPath, log, writeLog } from './logger';
+import { flushStore, registerStoreIpc, storeGet } from './ipc/store';
+import { abortAllStreams, registerHttpIpc } from './ipc/http';
+import { registerTelemetryIpc } from './ipc/telemetry';
+import { getSharedDirectory, registerFilesIpc } from './ipc/files';
+import { createMainWindow, getMainWindow, getWindowMode, setWindowMode, toggleWindowVisibility, windowEvents } from './window';
+import { getWebhookStatus, startWebhookServer, stopWebhookServer } from './webhook';
+import { registerVoiceIpc } from './voice/ipc';
+import { registerSystemIpc } from './ipc/system';
+import { stopEngine } from './voice/engine';
+
+// Audio playback must never be blocked behind a user gesture (TTS starts on incoming events).
+app.commandLine.appendSwitch('autoplay-policy', 'no-user-gesture-required');
+// Test/dev aid: isolate settings, logs and models in a custom directory.
+if (process.env.EVEFLOW_USER_DATA) app.setPath('userData', process.env.EVEFLOW_USER_DATA);
+
+let tray: Tray | null = null;
+
+// -- Single instance --------------------------------------------------------
+if (!app.requestSingleInstanceLock()) {
+  app.quit();
+} else {
+  app.on('second-instance', () => {
+    const win = getMainWindow();
+    if (win) {
+      if (win.isMinimized()) win.restore();
+      win.show();
+      win.focus();
+    }
+  });
+}
+
+interface WebhookSettings {
+  enabled?: boolean;
+  port?: number;
+  secret?: string;
+}
+
+function readWebhookSettings(): WebhookSettings {
+  const saved = storeGet<WebhookSettings>('webhook') ?? {};
+  const port = Number(saved.port);
+  return { enabled: saved.enabled !== false, port: Number.isInteger(port) && port > 0 && port < 65536 ? port : 7842, secret: typeof saved.secret === 'string' ? saved.secret : '' };
+}
+
+async function bootWebhook(): Promise<void> {
+  const settings = readWebhookSettings();
+  if (settings.enabled === false) {
+    await stopWebhookServer();
+    return;
+  }
+  await startWebhookServer(getMainWindow, { port: settings.port ?? 7842, secret: settings.secret || undefined });
+}
+
+function sendHotkey(event: HotkeyEvent): void {
+  const win = getMainWindow();
+  if (win && !win.isDestroyed()) win.webContents.send(IPC.hotkey, event);
+}
+
+function registerShortcuts(): void {
+  const bindings: Array<[string, () => void]> = [
+    ['CommandOrControl+Shift+Space', () => {
+      const win = getMainWindow();
+      if (win && !win.isVisible()) win.show();
+      sendHotkey('ptt-toggle');
+    }],
+    ['CommandOrControl+Shift+J', () => toggleWindowVisibility()],
+    // Ctrl+Shift+Escape is the Windows Task Manager shortcut; use a free combination.
+    ['CommandOrControl+Alt+Escape', () => sendHotkey('stop-speaking')]
+  ];
+  for (const [accelerator, handler] of bindings) {
+    try {
+      if (!globalShortcut.register(accelerator, handler)) log('WARN', 'hotkey', `cannot register ${accelerator}`);
+    } catch (err) {
+      log('WARN', 'hotkey', `cannot register ${accelerator}: ${(err as Error).message}`);
+    }
+  }
+}
+
+function createTray(): void {
+  try {
+    const iconPath = app.isPackaged
+      ? path.join(process.resourcesPath, 'icon.png')
+      : path.join(__dirname, '..', 'build', 'icon.png');
+    let image = nativeImage.createFromPath(iconPath);
+    if (image.isEmpty()) image = nativeImage.createEmpty();
+    else image = image.resize({ width: 16, height: 16 });
+    tray = new Tray(image);
+    tray.setToolTip('EveFlow - JARVIS HUD');
+    const rebuildMenu = () => {
+      const mode = getWindowMode();
+      tray?.setContextMenu(Menu.buildFromTemplate([
+        { label: 'Afficher / masquer', click: () => toggleWindowVisibility() },
+        { label: mode === 'compact' ? 'Mode HUD complet' : 'Mode compact flottant', click: () => setWindowMode(mode === 'compact' ? 'hud' : 'compact') },
+        { label: 'Micro (Ctrl+Shift+Espace)', click: () => sendHotkey('ptt-toggle') },
+        { type: 'separator' },
+        { label: 'Quitter', click: () => app.quit() }
+      ]));
+    };
+    rebuildMenu();
+    tray.on('click', () => toggleWindowVisibility());
+    windowEvents.on('mode', rebuildMenu);
+  } catch (err) {
+    log('WARN', 'tray', `tray unavailable: ${(err as Error).message}`);
+  }
+}
+
+function configureSession(): void {
+  const ses = session.defaultSession;
+  ses.setPermissionRequestHandler((_wc, permission, callback) => {
+    callback(permission === 'media' || permission === 'notifications' || permission === 'clipboard-read');
+  });
+  ses.setPermissionCheckHandler((_wc, permission) => permission === 'media' || permission === 'notifications' || permission === 'clipboard-read');
+  if (process.platform === 'darwin') {
+    systemPreferences.askForMediaAccess('microphone').then((granted) => {
+      log('INFO', 'audio', `microphone access ${granted ? 'granted' : 'denied'}`);
+    }).catch(() => undefined);
+  }
+}
+
+function registerCoreIpc(): void {
+  ipcMain.on(IPC.windowControl, (_e, action: 'minimize' | 'maximize' | 'close' | 'hide') => {
+    const win = getMainWindow();
+    if (!win) return;
+    switch (action) {
+      case 'minimize': win.minimize(); break;
+      case 'maximize': win.isMaximized() ? win.unmaximize() : win.maximize(); break;
+      case 'hide': win.hide(); break;
+      case 'close': win.close(); break;
+    }
+  });
+  ipcMain.on(IPC.windowSetMode, (_e, mode: WindowMode) => setWindowMode(mode === 'compact' ? 'compact' : 'hud'));
+  ipcMain.on(IPC.log, (_e, entry: LogEntry) => {
+    if (!entry || typeof entry.message !== 'string') return;
+    writeLog({ ...entry, message: entry.message.slice(0, 8000), tag: String(entry.tag).slice(0, 64) });
+  });
+  ipcMain.handle(IPC.appInfo, (): AppInfo => ({
+    version: app.getVersion(),
+    platform: process.platform,
+    isPackaged: app.isPackaged,
+    userDataPath: app.getPath('userData'),
+    sharedDir: getSharedDirectory(),
+    logPath: getLogPath()
+  }));
+  ipcMain.handle(IPC.webhookStatus, () => getWebhookStatus());
+  ipcMain.handle(IPC.webhookRestart, async () => {
+    await bootWebhook();
+    return getWebhookStatus();
+  });
+}
+
+async function boot(): Promise<void> {
+  log('INFO', 'app', `EveFlow ${app.getVersion()} starting (electron ${process.versions.electron}, chrome ${process.versions.chrome})`);
+  configureSession();
+  registerStoreIpc();
+  registerHttpIpc();
+  registerTelemetryIpc();
+  registerFilesIpc();
+  registerCoreIpc();
+  registerVoiceIpc();
+  registerSystemIpc();
+  createMainWindow();
+  createTray();
+  registerShortcuts();
+  await bootWebhook();
+
+  app.on('activate', () => {
+    if (BrowserWindow.getAllWindows().length === 0) createMainWindow();
+  });
+}
+
+if (app.hasSingleInstanceLock()) {
+  app.whenReady().then(boot).catch((err) => log('ERROR', 'app', `boot failed: ${(err as Error).message}`));
+}
+
+app.on('will-quit', (event) => {
+  globalShortcut.unregisterAll();
+  abortAllStreams();
+  stopEngine();
+  void stopWebhookServer();
+  event.preventDefault();
+  flushStore().finally(() => app.exit(0));
+});
+
+app.on('window-all-closed', () => {
+  if (process.platform !== 'darwin') app.quit();
+});

electron/preload.ts

@@ -0,0 +1,86 @@
+import { contextBridge, ipcRenderer } from 'electron';
+import {
+  IPC,
+  type AppInfo,
+  type HermesPushEvent,
+  type HotkeyEvent,
+  type HttpProxyRequest,
+  type HttpProxyResponse,
+  type HttpStreamEvent,
+  type HttpStreamStart,
+  type LogEntry,
+  type SystemMetrics,
+  type WebhookStatus,
+  type WindowMode
+} from '../shared/ipc';
+import type { EveFlowBridge, SystemAction, SystemActionResult, Unsubscribe } from '../shared/bridge';
+import { VOICE_IPC, type KwsDetection, type KwsStartRequest, type VadEvent, type VadStartRequest, type SynthesizeRequest, type SynthesizeResult, type TranscribeRequest, type TranscribeResult, type VoiceDownloadProgress, type VoiceEngineStatus, type VoiceModelStatus } from '../shared/voice';
+
+function subscribe<T>(channel: string, callback: (payload: T) => void): Unsubscribe {
+  const listener = (_event: Electron.IpcRendererEvent, payload: T) => callback(payload);
+  ipcRenderer.on(channel, listener);
+  return () => ipcRenderer.removeListener(channel, listener);
+}
+
+const api: EveFlowBridge = {
+  window: {
+    control: (action: 'minimize' | 'maximize' | 'close' | 'hide') => ipcRenderer.send(IPC.windowControl, action),
+    setMode: (mode: WindowMode) => ipcRenderer.send(IPC.windowSetMode, mode),
+    onModeChanged: (cb: (mode: WindowMode) => void) => subscribe<WindowMode>(IPC.windowModeChanged, cb),
+    onVisibility: (cb: (visible: boolean) => void) => subscribe<boolean>(IPC.windowVisibility, cb)
+  },
+  log: (entry: LogEntry) => ipcRenderer.send(IPC.log, entry),
+  store: {
+    get: <T = unknown>(key: string) => ipcRenderer.invoke(IPC.storeGet, key) as Promise<T | null>,
+    set: (key: string, value: unknown) => ipcRenderer.invoke(IPC.storeSet, key, value) as Promise<boolean>,
+    delete: (key: string) => ipcRenderer.invoke(IPC.storeDelete, key) as Promise<boolean>
+  },
+  http: {
+    fetch: (req: HttpProxyRequest) => ipcRenderer.invoke(IPC.httpFetch, req) as Promise<HttpProxyResponse>,
+    streamStart: (id: string, req: HttpProxyRequest) => ipcRenderer.invoke(IPC.httpStreamStart, id, req) as Promise<HttpStreamStart>,
+    streamAbort: (id: string) => ipcRenderer.send(IPC.httpStreamAbort, id),
+    onStreamEvent: (cb: (event: HttpStreamEvent) => void) => subscribe<HttpStreamEvent>(IPC.httpStreamEvent, cb)
+  },
+  system: {
+    metrics: () => ipcRenderer.invoke(IPC.metrics) as Promise<SystemMetrics>,
+    appInfo: () => ipcRenderer.invoke(IPC.appInfo) as Promise<AppInfo>,
+    captureScreen: (maxWidth?: number) => ipcRenderer.invoke(IPC.screenCapture, maxWidth) as Promise<string>,
+    action: (action: SystemAction) => ipcRenderer.invoke(IPC.systemAction, action) as Promise<SystemActionResult>
+  },
+  files: {
+    readLocal: (filePath: string) => ipcRenderer.invoke(IPC.readLocalFile, filePath) as Promise<string>,
+    writeShared: (filename: string, content: string, isBase64 = false) =>
+      ipcRenderer.invoke(IPC.writeSharedFile, filename, content, isBase64) as Promise<{ path: string; url: string }>,
+    openPath: (filePath: string) => ipcRenderer.invoke(IPC.openPath, filePath) as Promise<boolean>,
+    showInFolder: (filePath: string) => ipcRenderer.invoke(IPC.showInFolder, filePath) as Promise<boolean>
+  },
+  hermes: {
+    onPush: (cb: (event: HermesPushEvent) => void) => subscribe<HermesPushEvent>(IPC.hermesPush, cb),
+    webhookStatus: () => ipcRenderer.invoke(IPC.webhookStatus) as Promise<WebhookStatus>,
+    webhookRestart: () => ipcRenderer.invoke(IPC.webhookRestart) as Promise<WebhookStatus>
+  },
+  hotkeys: {
+    on: (cb: (event: HotkeyEvent) => void) => subscribe<HotkeyEvent>(IPC.hotkey, cb)
+  },
+  voice: {
+    status: () => ipcRenderer.invoke(VOICE_IPC.status) as Promise<VoiceEngineStatus>,
+    listModels: () => ipcRenderer.invoke(VOICE_IPC.modelsList) as Promise<VoiceModelStatus[]>,
+    downloadModel: (id: string) => ipcRenderer.invoke(VOICE_IPC.modelsDownload, id) as Promise<VoiceModelStatus>,
+    cancelDownload: (id: string) => ipcRenderer.invoke(VOICE_IPC.modelsCancel, id) as Promise<boolean>,
+    removeModel: (id: string) => ipcRenderer.invoke(VOICE_IPC.modelsRemove, id) as Promise<VoiceModelStatus[]>,
+    onProgress: (cb: (progress: VoiceDownloadProgress) => void) => subscribe<VoiceDownloadProgress>(VOICE_IPC.modelsProgress, cb),
+    transcribe: (req: TranscribeRequest) => ipcRenderer.invoke(VOICE_IPC.transcribe, req) as Promise<TranscribeResult>,
+    synthesize: (req: SynthesizeRequest) => ipcRenderer.invoke(VOICE_IPC.synthesize, req) as Promise<SynthesizeResult>,
+    unload: (id?: string) => ipcRenderer.invoke(VOICE_IPC.unload, id) as Promise<unknown>,
+    kwsStart: (req: KwsStartRequest) => ipcRenderer.invoke(VOICE_IPC.kwsStart, req) as Promise<{ accepted: string[]; rejected: string[] }>,
+    kwsStop: () => ipcRenderer.invoke(VOICE_IPC.kwsStop) as Promise<void>,
+    kwsAudio: (pcm: Uint8Array, sampleRate: number) => ipcRenderer.send(VOICE_IPC.kwsAudio, pcm, sampleRate),
+    onKwsDetected: (cb: (detection: KwsDetection) => void) => subscribe<KwsDetection>(VOICE_IPC.kwsDetected, cb),
+    vadStart: (req: VadStartRequest) => ipcRenderer.invoke(VOICE_IPC.vadStart, req) as Promise<void>,
+    vadStop: () => ipcRenderer.invoke(VOICE_IPC.vadStop) as Promise<void>,
+    vadAudio: (pcm: Uint8Array, sampleRate: number) => ipcRenderer.send(VOICE_IPC.vadAudio, pcm, sampleRate),
+    onVadEvent: (cb: (event: VadEvent) => void) => subscribe<VadEvent>(VOICE_IPC.vadEvent, cb)
+  }
+};
+
+contextBridge.exposeInMainWorld('eveflow', api);

electron/voice/catalog.ts

@@ -0,0 +1,166 @@
+import type { VoiceModelSpec, VoiceSpeaker } from '../../shared/voice';
+
+const ASR = 'https://github.com/k2-fsa/sherpa-onnx/releases/download/asr-models';
+const KWS = 'https://github.com/k2-fsa/sherpa-onnx/releases/download/kws-models';
+const TTS = 'https://github.com/k2-fsa/sherpa-onnx/releases/download/tts-models';
+
+const KOKORO_SPEAKERS: VoiceSpeaker[] = [
+  { id: 30, name: 'Siwis (femme, français)', lang: 'fr' },
+  { id: 3, name: 'Heart (femme, anglais US)', lang: 'en' },
+  { id: 2, name: 'Bella (femme, anglais US)', lang: 'en' },
+  { id: 7, name: 'Nova (femme, anglais US)', lang: 'en' },
+  { id: 11, name: 'Adam (homme, anglais US)', lang: 'en' },
+  { id: 16, name: 'Michael (homme, anglais US)', lang: 'en' },
+  { id: 17, name: 'Onyx (homme, anglais US)', lang: 'en' },
+  { id: 21, name: 'Emma (femme, anglais UK)', lang: 'en' },
+  { id: 24, name: 'Daniel (homme, anglais UK)', lang: 'en' },
+  { id: 26, name: 'George (homme, anglais UK)', lang: 'en' }
+];
+
+export const VOICE_CATALOG: VoiceModelSpec[] = [
+  {
+    id: 'whisper-base',
+    kind: 'stt',
+    engine: 'whisper',
+    name: 'Whisper base (multilingue)',
+    description: 'Le plus rapide sur CPU ; précision moyenne en français, suffisante pour des commandes courtes.',
+    languages: ['fr', 'en', 'multi'],
+    sizeMb: 208,
+    url: `${ASR}/sherpa-onnx-whisper-base.tar.bz2`,
+    dir: 'sherpa-onnx-whisper-base',
+    files: ['base-encoder.int8.onnx', 'base-decoder.int8.onnx', 'base-tokens.txt'],
+    recommended: true
+  },
+  {
+    id: 'whisper-small',
+    kind: 'stt',
+    engine: 'whisper',
+    name: 'Whisper small (multilingue)',
+    description: 'Recommandé pour le français : nettement plus précis que base, environ trois fois plus lent.',
+    languages: ['fr', 'en', 'multi'],
+    sizeMb: 640,
+    url: `${ASR}/sherpa-onnx-whisper-small.tar.bz2`,
+    dir: 'sherpa-onnx-whisper-small',
+    files: ['small-encoder.int8.onnx', 'small-decoder.int8.onnx', 'small-tokens.txt'],
+    recommended: true
+  },
+  {
+    id: 'whisper-turbo',
+    kind: 'stt',
+    engine: 'whisper',
+    name: 'Whisper large-v3 turbo (multilingue)',
+    description: 'La meilleure précision ; demande un processeur puissant.',
+    languages: ['fr', 'en', 'multi'],
+    sizeMb: 564,
+    url: `${ASR}/sherpa-onnx-whisper-turbo.tar.bz2`,
+    dir: 'sherpa-onnx-whisper-turbo',
+    files: ['turbo-encoder.int8.onnx', 'turbo-decoder.int8.onnx', 'turbo-tokens.txt']
+  },
+  {
+    id: 'sense-voice',
+    kind: 'stt',
+    engine: 'sense-voice',
+    name: 'SenseVoice small (zh / en / ja / ko)',
+    description: 'Très rapide, mais ne comprend pas le français.',
+    languages: ['en', 'zh', 'ja', 'ko'],
+    sizeMb: 163,
+    url: `${ASR}/sherpa-onnx-sense-voice-zh-en-ja-ko-yue-int8-2024-07-17.tar.bz2`,
+    dir: 'sherpa-onnx-sense-voice-zh-en-ja-ko-yue-int8-2024-07-17',
+    files: ['model.int8.onnx', 'tokens.txt']
+  },
+  {
+    id: 'kws-en',
+    kind: 'kws',
+    engine: 'kws-transducer',
+    name: 'Détecteur de mot-clé (zipformer, 3 Mo)',
+    description: 'Écoute permanente du mot d’activation, quasi gratuite en CPU. Mot-clé libre (« jarvis », « hey jarvis »…).',
+    languages: ['en', 'fr'],
+    sizeMb: 4,
+    url: `${KWS}/sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01.tar.bz2`,
+    dir: 'sherpa-onnx-kws-zipformer-gigaspeech-3.3M-2024-01-01',
+    files: [
+      'encoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx',
+      'decoder-epoch-12-avg-2-chunk-16-left-64.int8.onnx',
+      'joiner-epoch-12-avg-2-chunk-16-left-64.int8.onnx',
+      'tokens.txt'
+    ],
+    recommended: true
+  },
+  {
+    id: 'silero-vad',
+    kind: 'vad',
+    engine: 'silero',
+    name: 'Silero VAD (fin de phrase neuronale, 0,6 Mo)',
+    description: 'Détecte précisément le début et la fin de la parole pendant l’écoute permanente ; moins de faux départs sur le bruit.',
+    languages: ['multi'],
+    sizeMb: 1,
+    url: `${ASR}/silero_vad.onnx`,
+    dir: 'silero-vad',
+    files: ['silero_vad.onnx'],
+    recommended: true
+  },
+  {
+    id: 'kokoro-v1',
+    kind: 'tts',
+    engine: 'kokoro',
+    name: 'Kokoro v1.0 multilingue',
+    description: 'Voix très naturelle, une voix française (Siwis) et de nombreuses voix anglaises. 24 kHz.',
+    languages: ['fr', 'en', 'multi'],
+    sizeMb: 349,
+    url: `${TTS}/kokoro-multi-lang-v1_0.tar.bz2`,
+    dir: 'kokoro-multi-lang-v1_0',
+    files: ['model.onnx', 'voices.bin', 'tokens.txt', 'lexicon-us-en.txt', 'lexicon-zh.txt', 'espeak-ng-data/phontab'],
+    speakers: KOKORO_SPEAKERS,
+    sampleRate: 24000,
+    recommended: true
+  },
+  {
+    id: 'piper-fr-siwis',
+    kind: 'tts',
+    engine: 'piper',
+    name: 'Piper Siwis (femme, français)',
+    description: 'Léger et instantané, rendu un peu plus mécanique que Kokoro. 22 kHz.',
+    languages: ['fr'],
+    sizeMb: 67,
+    url: `${TTS}/vits-piper-fr_FR-siwis-medium.tar.bz2`,
+    dir: 'vits-piper-fr_FR-siwis-medium',
+    files: ['fr_FR-siwis-medium.onnx', 'tokens.txt', 'espeak-ng-data/phontab'],
+    speakers: [{ id: 0, name: 'Siwis', lang: 'fr' }],
+    sampleRate: 22050
+  },
+  {
+    id: 'piper-fr-tom',
+    kind: 'tts',
+    engine: 'piper',
+    name: 'Piper Tom (homme, français)',
+    description: 'Voix masculine légère et instantanée. 22 kHz.',
+    languages: ['fr'],
+    sizeMb: 67,
+    url: `${TTS}/vits-piper-fr_FR-tom-medium.tar.bz2`,
+    dir: 'vits-piper-fr_FR-tom-medium',
+    files: ['fr_FR-tom-medium.onnx', 'tokens.txt', 'espeak-ng-data/phontab'],
+    speakers: [{ id: 0, name: 'Tom', lang: 'fr' }],
+    sampleRate: 22050
+  },
+  {
+    id: 'piper-fr-upmc',
+    kind: 'tts',
+    engine: 'piper',
+    name: 'Piper UPMC (Jessica et Pierre, français)',
+    description: 'Deux voix françaises, une féminine et une masculine. 22 kHz.',
+    languages: ['fr'],
+    sizeMb: 80,
+    url: `${TTS}/vits-piper-fr_FR-upmc-medium.tar.bz2`,
+    dir: 'vits-piper-fr_FR-upmc-medium',
+    files: ['fr_FR-upmc-medium.onnx', 'tokens.txt', 'espeak-ng-data/phontab'],
+    speakers: [
+      { id: 0, name: 'Jessica (femme)', lang: 'fr' },
+      { id: 1, name: 'Pierre (homme)', lang: 'fr' }
+    ],
+    sampleRate: 22050
+  }
+];
+
+export function findModel(id: string): VoiceModelSpec | undefined {
+  return VOICE_CATALOG.find((m) => m.id === id);
+}

electron/voice/engine.ts

@@ -0,0 +1,240 @@
+/**
+ * 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();
+  }
+}

electron/voice/ipc.ts

@@ -0,0 +1,48 @@
+import { ipcMain } from 'electron';
+import { VOICE_IPC, type KwsStartRequest, type SynthesizeRequest, type TranscribeRequest, type VadStartRequest } from '../../shared/voice';
+import { engineStatus, kwsFeed, kwsStart, kwsStop, synthesize, transcribe, unload, vadFeed, vadStart, vadStop } from './engine';
+import { cancelDownload, downloadModel, listModels, removeModel } from './models';
+
+export function registerVoiceIpc(): void {
+  ipcMain.handle(VOICE_IPC.status, () => engineStatus());
+  ipcMain.handle(VOICE_IPC.modelsList, () => listModels());
+  ipcMain.handle(VOICE_IPC.modelsDownload, (event, id: string) => downloadModel(id, event.sender));
+  ipcMain.handle(VOICE_IPC.modelsCancel, (_e, id: string) => {
+    cancelDownload(id);
+    return true;
+  });
+  ipcMain.handle(VOICE_IPC.modelsRemove, async (_e, id: string) => {
+    await unload(id).catch(() => undefined);
+    await removeModel(id);
+    return listModels();
+  });
+  ipcMain.handle(VOICE_IPC.transcribe, (_e, req: TranscribeRequest) => {
+    if (!req || !(req.wav instanceof Uint8Array) || req.wav.byteLength < 44 || req.wav.byteLength > 64 * 1024 * 1024) throw new Error('Audio invalide');
+    if (typeof req.modelId !== 'string') throw new Error('Modèle invalide');
+    return transcribe({ ...req, language: typeof req.language === 'string' ? req.language.slice(0, 8) : 'auto' });
+  });
+  ipcMain.handle(VOICE_IPC.synthesize, (_e, req: SynthesizeRequest) => {
+    if (!req || typeof req.text !== 'string' || !req.text.trim() || req.text.length > 5000) throw new Error('Texte invalide');
+    if (typeof req.modelId !== 'string') throw new Error('Modèle invalide');
+    return synthesize({ ...req, speaker: Number.isFinite(req.speaker) ? req.speaker : 0, speed: Number.isFinite(req.speed) ? req.speed : 1 });
+  });
+  ipcMain.handle(VOICE_IPC.unload, (_e, id?: string) => unload(id));
+  ipcMain.handle(VOICE_IPC.kwsStart, (event, req: KwsStartRequest) => {
+    if (!req || !Array.isArray(req.keywords) || typeof req.modelId !== 'string') throw new Error('Requête invalide');
+    return kwsStart({ ...req, keywords: req.keywords.filter((k) => typeof k === 'string'), sensitivity: Number(req.sensitivity) || 3 }, event.sender);
+  });
+  ipcMain.handle(VOICE_IPC.kwsStop, () => kwsStop());
+  ipcMain.handle(VOICE_IPC.vadStart, (event, req: VadStartRequest) => {
+    if (!req || typeof req.modelId !== 'string') throw new Error('Requête invalide');
+    return vadStart({ modelId: req.modelId, silenceMs: Number(req.silenceMs) || 700, threshold: Number(req.threshold) || 0.5, maxUtteranceSec: Number(req.maxUtteranceSec) || 30 }, event.sender);
+  });
+  ipcMain.handle(VOICE_IPC.vadStop, () => vadStop());
+  ipcMain.on(VOICE_IPC.vadAudio, (_e, pcm: unknown, sampleRate: unknown) => {
+    if (!(pcm instanceof Uint8Array) || pcm.byteLength === 0 || pcm.byteLength > 1024 * 1024) return;
+    vadFeed(pcm, typeof sampleRate === 'number' && sampleRate > 0 ? sampleRate : 16000);
+  });
+  ipcMain.on(VOICE_IPC.kwsAudio, (_e, pcm: unknown, sampleRate: unknown) => {
+    if (!(pcm instanceof Uint8Array) || pcm.byteLength === 0 || pcm.byteLength > 1024 * 1024) return;
+    kwsFeed(pcm, typeof sampleRate === 'number' && sampleRate > 0 ? sampleRate : 16000);
+  });
+}

electron/voice/models.ts

@@ -0,0 +1,159 @@
+/**
+ * Model manager: downloads sherpa-onnx model archives (tar.bz2) into userData/models,
+ * extracts them, verifies required files and reports progress to the renderer.
+ */
+import { app, type WebContents } from 'electron';
+import fs from 'node:fs';
+import path from 'node:path';
+import { pipeline } from 'node:stream/promises';
+import { Readable, Transform } from 'node:stream';
+import * as tar from 'tar';
+import unbzip2 from 'unbzip2-stream';
+import { VOICE_IPC, type VoiceDownloadProgress, type VoiceModelSpec, type VoiceModelStatus } from '../../shared/voice';
+import { VOICE_CATALOG, findModel } from './catalog';
+import { stopEngine } from './engine';
+import { log } from '../logger';
+
+const active = new Map<string, AbortController>();
+/** Windows keeps files locked briefly (AV scans, memory-mapped models): retry removals. */
+const RM = { recursive: true, force: true, maxRetries: 10, retryDelay: 200 } as const;
+const DOWNLOAD_IDLE_MS = 60_000;
+
+export function modelsDir(): string {
+  const dir = path.join(app.getPath('userData'), 'models');
+  fs.mkdirSync(dir, { recursive: true });
+  return dir;
+}
+
+export function modelDir(spec: VoiceModelSpec): string {
+  return path.join(modelsDir(), spec.dir);
+}
+
+export function isInstalled(spec: VoiceModelSpec): boolean {
+  const dir = modelDir(spec);
+  return spec.files.every((f) => fs.existsSync(path.join(dir, f)));
+}
+
+function dirSize(dir: string): number {
+  let total = 0;
+  try {
+    for (const entry of fs.readdirSync(dir, { withFileTypes: true })) {
+      const full = path.join(dir, entry.name);
+      if (entry.isDirectory()) total += dirSize(full);
+      else total += fs.statSync(full).size;
+    }
+  } catch {
+    /* missing */
+  }
+  return total;
+}
+
+export function listModels(): VoiceModelStatus[] {
+  return VOICE_CATALOG.map((spec) => {
+    const installed = isInstalled(spec);
+    return {
+      ...spec,
+      installed,
+      downloading: active.has(spec.id),
+      installedBytes: installed ? dirSize(modelDir(spec)) : 0
+    };
+  });
+}
+
+export async function removeModel(id: string): Promise<void> {
+  const spec = findModel(id);
+  if (!spec) throw new Error(`Modèle inconnu : ${id}`);
+  stopEngine(); // releases memory-mapped model files before deleting them
+  await fs.promises.rm(modelDir(spec), RM);
+  log('INFO', 'voice', `model removed: ${id}`);
+}
+
+export function cancelDownload(id: string): void {
+  active.get(id)?.abort();
+}
+
+export async function downloadModel(id: string, sender: WebContents | null): Promise<VoiceModelStatus> {
+  const spec = findModel(id);
+  if (!spec) throw new Error(`Modèle inconnu : ${id}`);
+  if (active.has(id)) throw new Error('Téléchargement déjà en cours');
+  const controller = new AbortController();
+  active.set(id, controller);
+  const report = (progress: Omit<VoiceDownloadProgress, 'id'>) => {
+    if (sender && !sender.isDestroyed()) sender.send(VOICE_IPC.modelsProgress, { id, ...progress });
+  };
+
+  const tmpDir = path.join(modelsDir(), `.tmp-${spec.id}`);
+  await fs.promises.rm(tmpDir, RM);
+  await fs.promises.mkdir(tmpDir, { recursive: true });
+  // Abort the transfer when no byte arrives for a while (fetch itself has no inactivity timeout).
+  let idleTimer: ReturnType<typeof setTimeout> | null = null;
+  const touch = () => {
+    if (idleTimer) clearTimeout(idleTimer);
+    idleTimer = setTimeout(() => controller.abort(new Error('Téléchargement interrompu (aucune donnée reçue)')), DOWNLOAD_IDLE_MS);
+  };
+
+  try {
+    log('INFO', 'voice', `downloading ${spec.id} from ${spec.url}`);
+    const response = await fetch(spec.url, { signal: controller.signal, redirect: 'follow' });
+    if (!response.ok || !response.body) throw new Error(`HTTP ${response.status} lors du téléchargement`);
+    const total = Number(response.headers.get('content-length')) || Math.round(spec.sizeMb * 1024 * 1024);
+    let received = 0;
+    let lastReport = 0;
+    touch();
+    const counter = new Transform({
+      transform(chunk: Buffer, _enc, cb) {
+        received += chunk.length;
+        touch();
+        const now = Date.now();
+        if (now - lastReport > 250) {
+          lastReport = now;
+          report({ phase: 'download', received, total, percent: Math.min(99, Math.round((received / total) * 100)) });
+        }
+        cb(null, chunk);
+      }
+    });
+
+    const source = Readable.fromWeb(response.body as import('node:stream/web').ReadableStream<Uint8Array>);
+    if (spec.url.endsWith('.tar.bz2')) {
+      report({ phase: 'download', received: 0, total, percent: 0 });
+      await pipeline(source, counter, unbzip2(), tar.x({ cwd: tmpDir }), { signal: controller.signal });
+    } else {
+      const target = path.join(tmpDir, spec.dir, path.basename(spec.url));
+      await fs.promises.mkdir(path.dirname(target), { recursive: true });
+      await pipeline(source, counter, fs.createWriteStream(target), { signal: controller.signal });
+    }
+    report({ phase: 'extract', received: total, total, percent: 99 });
+
+    const extracted = path.join(tmpDir, spec.dir);
+    const missing = spec.files.filter((f) => !fs.existsSync(path.join(extracted, f)));
+    if (missing.length) throw new Error(`Archive incomplète, fichiers manquants : ${missing.join(', ')}`);
+
+    const finalDir = modelDir(spec);
+    if (isInstalled(spec)) stopEngine();
+    await fs.promises.rm(finalDir, RM);
+    for (let attempt = 0; ; attempt++) {
+      try {
+        await fs.promises.rename(extracted, finalDir);
+        break;
+      } catch (err) {
+        const code = (err as NodeJS.ErrnoException).code ?? '';
+        if (attempt >= 10 || !['EPERM', 'EBUSY', 'ENOTEMPTY', 'EACCES'].includes(code)) throw err;
+        await new Promise((r) => setTimeout(r, 300));
+      }
+    }
+    await fs.promises.rm(tmpDir, RM);
+    report({ phase: 'done', received: total, total, percent: 100 });
+    log('INFO', 'voice', `model installed: ${spec.id}`);
+  } catch (err) {
+    await fs.promises.rm(tmpDir, RM).catch(() => undefined);
+    const e = (controller.signal.reason instanceof Error ? controller.signal.reason : err) as Error;
+    const cancelled = (e.name === 'AbortError' || controller.signal.aborted) && !(controller.signal.reason instanceof Error);
+    report({ phase: cancelled ? 'cancelled' : 'error', received: 0, total: 0, percent: 0, message: cancelled ? 'annulé' : e.message });
+    log(cancelled ? 'INFO' : 'ERROR', 'voice', `download ${spec.id} ${cancelled ? 'cancelled' : 'failed: ' + e.message}`);
+    if (!cancelled) throw new Error(e.message);
+  } finally {
+    if (idleTimer) clearTimeout(idleTimer);
+    active.delete(id);
+  }
+  return listModels().find((m) => m.id === id)!;
+}

electron/voice/worker.ts

@@ -0,0 +1,438 @@
+/**
+ * Voice worker: runs sherpa-onnx (speech recognition and synthesis) in an Electron utility
+ * process so heavy inference never blocks the main process. Also runnable with
+ * `child_process.fork` (advanced serialization) for local tests.
+ */
+import os from 'node:os';
+import path from 'node:path';
+import type { VoiceEngineKind } from '../../shared/voice';
+
+interface ModelRef {
+  id: string;
+  engine: VoiceEngineKind;
+  dir: string;
+  files: string[];
+}
+
+type Request =
+  | { id: number; type: 'status' }
+  | { id: number; type: 'transcribe'; model: ModelRef; wav: Uint8Array | string; language: string }
+  | { id: number; type: 'synthesize'; model: ModelRef; text: string; speaker: number; speed: number }
+  | { id: number; type: 'unload'; modelId?: string }
+  | { id: number; type: 'kws.start'; model: ModelRef; keywordsFile: string; threshold: number; score: number }
+  | { id: number; type: 'kws.audio'; pcm: string; sampleRate: number }
+  | { id: number; type: 'kws.stop' }
+  | { id: number; type: 'vad.start'; model: ModelRef; silenceMs: number; threshold: number; maxUtteranceSec: number }
+  | { id: number; type: 'vad.audio'; pcm: string; sampleRate: number }
+  | { id: number; type: 'vad.stop' };
+
+type Response = { id: number; ok: true; result: unknown } | { id: number; ok: false; error: string };
+
+// ── sherpa-onnx loading (lazy, so a missing native package is reported, not fatal) ──
+type Sherpa = {
+  OfflineRecognizer: new (config: unknown) => {
+    createStream: () => { acceptWaveform: (w: { sampleRate: number; samples: Float32Array }) => void };
+    decode: (s: unknown) => void;
+    getResult: (s: unknown) => { text: string; lang?: string };
+  };
+  Vad: new (config: unknown, bufferSizeInSeconds: number) => {
+    acceptWaveform: (samples: Float32Array) => void;
+    isEmpty: () => boolean;
+    isDetected: () => boolean;
+    pop: () => void;
+    clear: () => void;
+    front: (enableExternalBuffer?: boolean) => { start: number; samples: Float32Array };
+    reset: () => void;
+    flush: () => void;
+  };
+  KeywordSpotter: new (config: unknown) => {
+    createStream: () => KwsStream;
+    isReady: (s: KwsStream) => boolean;
+    decode: (s: KwsStream) => void;
+    reset: (s: KwsStream) => void;
+    getResult: (s: KwsStream) => { keyword?: string };
+  };
+  OfflineTts: new (config: unknown) => {
+    numSpeakers: number;
+    sampleRate: number;
+    generate: (req: { text: string; sid: number; speed: number; enableExternalBuffer?: boolean }) => { samples: Float32Array; sampleRate: number };
+  };
+  version: string;
+};
+
+type KwsStream = { acceptWaveform: (w: { sampleRate: number; samples: Float32Array }) => void };
+let sherpa: Sherpa | null = null;
+let kws: { spotter: InstanceType<Sherpa['KeywordSpotter']>; stream: KwsStream } | null = null;
+let vad: { detector: InstanceType<Sherpa['Vad']>; speaking: boolean; windowSize: number; carry: Float32Array } | null = null;
+let notify: ((message: unknown) => void) | null = null;
+let loadError: string | null = null;
+
+function loadSherpa(): Sherpa {
+  if (sherpa) return sherpa;
+  if (loadError) throw new Error(loadError);
+  try {
+    // eslint-disable-next-line @typescript-eslint/no-require-imports
+    sherpa = require('sherpa-onnx-node') as Sherpa;
+    return sherpa;
+  } catch (err) {
+    loadError = `Module natif sherpa-onnx indisponible : ${(err as Error).message}`;
+    throw new Error(loadError);
+  }
+}
+
+const threads = Math.max(2, Math.min(6, Math.floor(os.cpus().length / 2)));
+
+// ── caches ────────────────────────────────────────────────────────────────
+const recognizers = new Map<string, InstanceType<Sherpa['OfflineRecognizer']>>();
+const synthesizers = new Map<string, InstanceType<Sherpa['OfflineTts']>>();
+
+function whisperPrefix(model: ModelRef): string {
+  const encoder = model.files.find((f) => f.includes('-encoder'));
+  return encoder ? encoder.slice(0, encoder.indexOf('-encoder')) : 'base';
+}
+
+function getRecognizer(model: ModelRef, language: string) {
+  const lang = language === 'auto' ? '' : language.split('-')[0].toLowerCase();
+  const key = `${model.id}:${lang}`;
+  const cached = recognizers.get(key);
+  if (cached) return cached;
+  const s = loadSherpa();
+  const p = (f: string) => path.join(model.dir, f);
+  let modelConfig: Record<string, unknown>;
+  switch (model.engine) {
+    case 'whisper': {
+      const prefix = whisperPrefix(model);
+      modelConfig = {
+        whisper: { encoder: p(`${prefix}-encoder.int8.onnx`), decoder: p(`${prefix}-decoder.int8.onnx`), language: lang, task: 'transcribe', tailPaddings: -1 },
+        tokens: p(`${prefix}-tokens.txt`)
+      };
+      break;
+    }
+    case 'sense-voice':
+      modelConfig = { senseVoice: { model: p('model.int8.onnx'), language: lang || 'auto', useInverseTextNormalization: 1 }, tokens: p('tokens.txt') };
+      break;
+    case 'nemo-transducer':
+      modelConfig = {
+        transducer: { encoder: p('encoder.int8.onnx'), decoder: p('decoder.int8.onnx'), joiner: p('joiner.int8.onnx') },
+        tokens: p('tokens.txt'),
+        modelType: 'nemo_transducer'
+      };
+      break;
+    default:
+      throw new Error(`Moteur STT non supporté : ${model.engine}`);
+  }
+  for (const [k, v] of Object.entries({ numThreads: threads, provider: 'cpu', debug: 0 })) modelConfig[k] = v;
+  // Whisper keeps one recognizer per language; other engines ignore the language key.
+  for (const [k, r] of recognizers) if (k.startsWith(`${model.id}:`)) recognizers.delete(k) && void r;
+  const recognizer = new s.OfflineRecognizer({ featConfig: { sampleRate: 16000, featureDim: 80 }, modelConfig, decodingMethod: 'greedy_search' });
+  recognizers.set(key, recognizer);
+  return recognizer;
+}
+
+function getSynthesizer(model: ModelRef) {
+  const cached = synthesizers.get(model.id);
+  if (cached) return cached;
+  const s = loadSherpa();
+  const p = (f: string) => path.join(model.dir, f);
+  let ttsModel: Record<string, unknown>;
+  switch (model.engine) {
+    case 'kokoro':
+      ttsModel = {
+        kokoro: {
+          model: p('model.onnx'),
+          voices: p('voices.bin'),
+          tokens: p('tokens.txt'),
+          dataDir: p('espeak-ng-data'),
+          lexicon: [p('lexicon-us-en.txt'), p('lexicon-zh.txt')].join(',')
+        }
+      };
+      break;
+    case 'piper': {
+      const onnx = model.files.find((f) => f.endsWith('.onnx')) ?? 'model.onnx';
+      ttsModel = { vits: { model: p(onnx), tokens: p('tokens.txt'), dataDir: p('espeak-ng-data') } };
+      break;
+    }
+    default:
+      throw new Error(`Moteur TTS non supporté : ${model.engine}`);
+  }
+  const tts = new s.OfflineTts({ model: { ...ttsModel, numThreads: threads, provider: 'cpu', debug: 0 }, maxNumSentences: 1 });
+  synthesizers.set(model.id, tts);
+  return tts;
+}
+
+// ── audio helpers ──────────────────────────────────────────────────────────
+function decodeWav(bytes: Uint8Array): { samples: Float32Array; sampleRate: number } {
+  const view = new DataView(bytes.buffer, bytes.byteOffset, bytes.byteLength);
+  if (String.fromCharCode(bytes[0], bytes[1], bytes[2], bytes[3]) !== 'RIFF' || String.fromCharCode(bytes[8], bytes[9], bytes[10], bytes[11]) !== 'WAVE') {
+    throw new Error('WAV invalide');
+  }
+  let offset = 12;
+  let sampleRate = 16000;
+  let channels = 1;
+  let bits = 16;
+  let format = 1; // 1 = PCM, 3 = IEEE float
+  let data: { start: number; length: number } | null = null;
+  while (offset + 8 <= bytes.byteLength) {
+    const id = String.fromCharCode(bytes[offset], bytes[offset + 1], bytes[offset + 2], bytes[offset + 3]);
+    const size = view.getUint32(offset + 4, true);
+    if (id === 'fmt ') {
+      format = view.getUint16(offset + 8, true);
+      channels = view.getUint16(offset + 10, true);
+      sampleRate = view.getUint32(offset + 12, true);
+      bits = view.getUint16(offset + 22, true);
+    } else if (id === 'data') {
+      data = { start: offset + 8, length: Math.min(size, bytes.byteLength - offset - 8) };
+      break;
+    }
+    offset += 8 + size + (size % 2);
+  }
+  if (!data) throw new Error('WAV sans données');
+  const bytesPerSample = bits / 8;
+  const frames = Math.floor(data.length / bytesPerSample / channels);
+  const samples = new Float32Array(frames);
+  for (let i = 0; i < frames; i++) {
+    let sum = 0;
+    for (let c = 0; c < channels; c++) {
+      const pos = data.start + (i * channels + c) * bytesPerSample;
+      sum +=
+        format === 3 && bits === 32
+          ? view.getFloat32(pos, true)
+          : bits === 16
+            ? view.getInt16(pos, true) / 32768
+            : bits === 24
+              ? (((bytes[pos] | (bytes[pos + 1] << 8) | (bytes[pos + 2] << 16)) << 8) >> 8) / 8388608
+              : bits === 32
+                ? view.getInt32(pos, true) / 2147483648
+                : (bytes[pos] - 128) / 128;
+    }
+    samples[i] = sum / channels;
+  }
+  return { samples, sampleRate };
+}
+
+function resampleTo16k(samples: Float32Array, rate: number): Float32Array {
+  if (rate === 16000) return samples;
+  const ratio = rate / 16000;
+  const out = new Float32Array(Math.round(samples.length / ratio));
+  for (let i = 0; i < out.length; i++) {
+    const pos = i * ratio;
+    const idx = Math.floor(pos);
+    const frac = pos - idx;
+    const a = samples[Math.min(idx, samples.length - 1)];
+    const b = samples[Math.min(idx + 1, samples.length - 1)];
+    out[i] = a + (b - a) * frac;
+  }
+  return out;
+}
+
+function encodeWav(samples: Float32Array, sampleRate: number): Uint8Array {
+  const buffer = new ArrayBuffer(44 + samples.length * 2);
+  const view = new DataView(buffer);
+  const str = (o: number, s: string) => {
+    for (let i = 0; i < s.length; i++) view.setUint8(o + i, s.charCodeAt(i));
+  };
+  str(0, 'RIFF');
+  view.setUint32(4, 36 + samples.length * 2, true);
+  str(8, 'WAVE');
+  str(12, 'fmt ');
+  view.setUint32(16, 16, true);
+  view.setUint16(20, 1, true);
+  view.setUint16(22, 1, true);
+  view.setUint32(24, sampleRate, true);
+  view.setUint32(28, sampleRate * 2, true);
+  view.setUint16(32, 2, true);
+  view.setUint16(34, 16, true);
+  str(36, 'data');
+  view.setUint32(40, samples.length * 2, true);
+  let o = 44;
+  for (let i = 0; i < samples.length; i++, o += 2) {
+    const s = Math.max(-1, Math.min(1, samples[i]));
+    view.setInt16(o, s < 0 ? s * 0x8000 : s * 0x7fff, true);
+  }
+  return new Uint8Array(buffer);
+}
+
+function startKws(model: ModelRef, keywordsFile: string, threshold: number, score: number): void {
+  const s = loadSherpa();
+  kws = null;
+  const p = (f: string) => path.join(model.dir, f);
+  const enc = model.files.find((f) => f.startsWith('encoder')) ?? 'encoder.int8.onnx';
+  const dec = model.files.find((f) => f.startsWith('decoder')) ?? 'decoder.int8.onnx';
+  const join = model.files.find((f) => f.startsWith('joiner')) ?? 'joiner.int8.onnx';
+  const spotter = new s.KeywordSpotter({
+    featConfig: { sampleRate: 16000, featureDim: 80 },
+    modelConfig: { transducer: { encoder: p(enc), decoder: p(dec), joiner: p(join) }, tokens: p('tokens.txt'), numThreads: 1, provider: 'cpu', debug: 0 },
+    maxActivePaths: 4,
+    numTrailingBlanks: 1,
+    keywordsScore: score,
+    keywordsThreshold: threshold,
+    keywordsFile
+  });
+  kws = { spotter, stream: spotter.createStream() };
+}
+
+function feedKws(pcmBase64: string, sampleRate: number): void {
+  if (!kws) return;
+  const bytes = Buffer.from(pcmBase64, 'base64');
+  const int16 = new Int16Array(bytes.buffer, bytes.byteOffset, Math.floor(bytes.byteLength / 2));
+  let samples: Float32Array = new Float32Array(int16.length);
+  for (let i = 0; i < int16.length; i++) samples[i] = int16[i] / 32768;
+  if (sampleRate !== 16000) samples = resampleTo16k(samples, sampleRate);
+  kws.stream.acceptWaveform({ sampleRate: 16000, samples });
+  while (kws.spotter.isReady(kws.stream)) {
+    kws.spotter.decode(kws.stream);
+    const result = kws.spotter.getResult(kws.stream);
+    if (result.keyword) {
+      kws.spotter.reset(kws.stream);
+      notify?.({ type: 'kws.detected', keyword: result.keyword, at: Date.now() });
+    }
+  }
+}
+
+function startVad(model: ModelRef, silenceMs: number, threshold: number, maxUtteranceSec: number): void {
+  const s = loadSherpa();
+  const windowSize = 512;
+  const detector = new s.Vad(
+    {
+      sileroVad: {
+        model: path.join(model.dir, 'silero_vad.onnx'),
+        threshold: Math.max(0.1, Math.min(0.95, threshold)),
+        minSilenceDuration: Math.max(0.15, silenceMs / 1000),
+        minSpeechDuration: 0.2,
+        windowSize,
+        maxSpeechDuration: Math.max(3, maxUtteranceSec)
+      },
+      sampleRate: 16000,
+      numThreads: 1,
+      provider: 'cpu',
+      debug: 0
+    },
+    Math.max(10, maxUtteranceSec + 5)
+  );
+  vad = { detector, speaking: false, windowSize, carry: new Float32Array(0) };
+}
+
+function feedVad(pcmBase64: string, sampleRate: number): void {
+  if (!vad) return;
+  const bytes = Buffer.from(pcmBase64, 'base64');
+  const int16 = new Int16Array(bytes.buffer, bytes.byteOffset, Math.floor(bytes.byteLength / 2));
+  let samples: Float32Array = new Float32Array(int16.length);
+  for (let i = 0; i < int16.length; i++) samples[i] = int16[i] / 32768;
+  if (sampleRate !== 16000) samples = resampleTo16k(samples, sampleRate);
+  // Silero expects fixed windows: keep the remainder for the next frame.
+  const merged = new Float32Array(vad.carry.length + samples.length);
+  merged.set(vad.carry, 0);
+  merged.set(samples, vad.carry.length);
+  const usable = merged.length - (merged.length % vad.windowSize);
+  for (let i = 0; i < usable; i += vad.windowSize) {
+    vad.detector.acceptWaveform(merged.subarray(i, i + vad.windowSize));
+    const detected = vad.detector.isDetected();
+    if (detected && !vad.speaking) {
+      vad.speaking = true;
+      notify?.({ type: 'vad.event', event: { type: 'speech-start' } });
+    }
+    while (!vad.detector.isEmpty()) {
+      const segment = vad.detector.front(false);
+      vad.detector.pop();
+      vad.speaking = false;
+      const wav = encodeWav(segment.samples, 16000);
+      notify?.({
+        type: 'vad.event',
+        event: { type: 'segment', wav: Buffer.from(wav.buffer, wav.byteOffset, wav.byteLength).toString('base64'), durationSec: segment.samples.length / 16000 }
+      });
+    }
+  }
+  vad.carry = merged.slice(usable);
+}
+
+// ── request handling ───────────────────────────────────────────────────────
+function handle(req: Request): unknown {
+  switch (req.type) {
+    case 'vad.start':
+      startVad(req.model, req.silenceMs, req.threshold, req.maxUtteranceSec);
+      return { ok: true };
+    case 'vad.audio':
+      feedVad(req.pcm, req.sampleRate);
+      return { ok: true };
+    case 'vad.stop':
+      vad = null;
+      return { ok: true };
+    case 'kws.start':
+      startKws(req.model, req.keywordsFile, req.threshold, req.score);
+      return { ok: true };
+    case 'kws.audio':
+      feedKws(req.pcm, req.sampleRate);
+      return { ok: true };
+    case 'kws.stop':
+      kws = null;
+      return { ok: true };
+    case 'status': {
+      try {
+        const s = loadSherpa();
+        return { available: true, version: s.version, loaded: [...recognizers.keys(), ...synthesizers.keys(), ...(kws ? ['kws'] : [])] };
+      } catch (err) {
+        return { available: false, error: (err as Error).message, loaded: [] };
+      }
+    }
+    case 'transcribe': {
+      const started = Date.now();
+      // Audio crosses the process boundary as base64: V8 refuses to serialize external buffers.
+      const bytes = typeof req.wav === 'string' ? new Uint8Array(Buffer.from(req.wav, 'base64')) : req.wav;
+      const { samples, sampleRate } = decodeWav(bytes);
+      const pcm = resampleTo16k(samples, sampleRate);
+      if (pcm.length < 1600) throw new Error('Audio trop court');
+      const recognizer = getRecognizer(req.model, req.language);
+      const stream = recognizer.createStream();
+      stream.acceptWaveform({ sampleRate: 16000, samples: pcm });
+      recognizer.decode(stream);
+      const result = recognizer.getResult(stream);
+      return { text: (result.text ?? '').trim(), language: result.lang, durationMs: Date.now() - started, audioSec: pcm.length / 16000 };
+    }
+    case 'synthesize': {
+      const started = Date.now();
+      const tts = getSynthesizer(req.model);
+      const sid = Math.max(0, Math.min(tts.numSpeakers - 1, Math.floor(req.speaker)));
+      // Electron forbids N-API external buffers: ask sherpa-onnx to copy the samples into a V8 buffer.
+      const audio = tts.generate({ text: req.text, sid, speed: Math.max(0.5, Math.min(2, req.speed || 1)), enableExternalBuffer: false });
+      const wav = encodeWav(audio.samples, audio.sampleRate);
+      return {
+        wav: Buffer.from(wav.buffer, wav.byteOffset, wav.byteLength).toString('base64'),
+        sampleRate: audio.sampleRate,
+        durationMs: Date.now() - started,
+        audioSec: audio.samples.length / audio.sampleRate
+      };
+    }
+    case 'unload': {
+      if (req.modelId) {
+        for (const k of [...recognizers.keys()]) if (k.startsWith(`${req.modelId}:`)) recognizers.delete(k);
+        synthesizers.delete(req.modelId);
+      } else {
+        recognizers.clear();
+        synthesizers.clear();
+        kws = null;
+        vad = null;
+      }
+      return { ok: true };
+    }
+    default:
+      throw new Error('requête inconnue');
+  }
+}
+
+function respond(req: Request): Response {
+  try {
+    return { id: req.id, ok: true, result: handle(req) };
+  } catch (err) {
+    return { id: req.id, ok: false, error: (err as Error).message || String(err) };
+  }
+}
+
+// Electron utility process transport, with a child_process fallback for tests.
+const parentPort = (process as unknown as { parentPort?: { on: (ev: 'message', cb: (e: { data: Request }) => void) => void; postMessage: (m: unknown) => void } }).parentPort;
+if (parentPort) {
+  notify = (m) => parentPort.postMessage(m);
+  parentPort.on('message', (event) => parentPort.postMessage(respond(event.data)));
+} else if (process.send) {
+  notify = (m) => process.send!(m);
+  process.on('message', (msg: Request) => process.send!(respond(msg)));
+}

electron/webhook.ts

@@ -0,0 +1,128 @@
+/**
+ * Local webhook server: Hermes (cron deliveries, gateway mirrors, scripts) pushes JSON here
+ * and EveFlow displays / speaks the result. POST /eveflow/hook, GET /health.
+ */
+import http from 'node:http';
+import { timingSafeEqual } from 'node:crypto';
+import type { BrowserWindow } from 'electron';
+import { IPC, type WebhookStatus } from '../shared/ipc';
+import { normalizeHermesPush } from '../shared/hermesPush';
+import { log } from './logger';
+
+export const WEBHOOK_PATH = '/eveflow/hook';
+const MAX_BODY_BYTES = 2 * 1024 * 1024;
+
+export interface WebhookOptions {
+  port: number;
+  secret?: string;
+  host?: string;
+}
+
+let server: http.Server | null = null;
+let status: WebhookStatus = { listening: false, port: 7842, path: WEBHOOK_PATH, secretConfigured: false };
+
+function secretMatches(provided: string | undefined, expected: string): boolean {
+  if (!provided) return false;
+  const a = Buffer.from(provided);
+  const b = Buffer.from(expected);
+  return a.length === b.length && timingSafeEqual(a, b);
+}
+
+export function getWebhookStatus(): WebhookStatus {
+  return status;
+}
+
+export function stopWebhookServer(): Promise<void> {
+  return new Promise((resolve) => {
+    if (!server) return resolve();
+    const current = server;
+    server = null;
+    status = { ...status, listening: false };
+    current.closeAllConnections();
+    current.close(() => resolve());
+  });
+}
+
+export async function startWebhookServer(getWindow: () => BrowserWindow | null, options: WebhookOptions): Promise<WebhookStatus> {
+  await stopWebhookServer();
+  const { port, secret } = options;
+  // Without a shared secret the hook only listens on loopback: anyone on the LAN could otherwise inject messages.
+  const host = options.host ?? (secret ? '0.0.0.0' : '127.0.0.1');
+  if (host !== '127.0.0.1' && !secret) log('WARN', 'webhook', `listening on ${host} without a secret`);
+
+  server = http.createServer((req, res) => {
+    const json = (code: number, payload: unknown) => {
+      res.writeHead(code, { 'Content-Type': 'application/json', 'Cache-Control': 'no-store' });
+      res.end(JSON.stringify(payload));
+    };
+
+    if (req.method === 'GET' && (req.url === '/health' || req.url === '/')) {
+      return json(200, { ok: true, app: 'eveflow', path: WEBHOOK_PATH });
+    }
+    if (req.method !== 'POST' || !req.url?.startsWith(WEBHOOK_PATH)) {
+      return json(404, { error: 'Not Found' });
+    }
+
+    if (secret) {
+      const auth = req.headers.authorization?.replace(/^Bearer\s+/i, '');
+      const custom = req.headers['x-eveflow-secret'];
+      const provided = typeof custom === 'string' ? custom : auth;
+      if (!secretMatches(provided, secret)) {
+        log('WARN', 'webhook', `rejected push from ${req.socket.remoteAddress}: bad secret`);
+        return json(401, { error: 'Unauthorized' });
+      }
+    }
+
+    const chunks: Buffer[] = [];
+    let bytes = 0;
+    let tooLarge = false;
+    req.on('data', (chunk: Buffer) => {
+      if (tooLarge) return;
+      bytes += chunk.length;
+      if (bytes > MAX_BODY_BYTES) {
+        tooLarge = true;
+        res.writeHead(413, { 'Content-Type': 'application/json', Connection: 'close' });
+        res.end(JSON.stringify({ error: 'Payload too large' }), () => req.socket.destroy());
+        return;
+      }
+      chunks.push(chunk);
+    });
+    req.on('end', () => {
+      if (tooLarge) return;
+      // Concatenate before decoding so multibyte UTF-8 (accents, emoji) split across chunks stays intact.
+      const body = Buffer.concat(chunks).toString('utf8');
+      try {
+        const raw: unknown = body.trim() ? JSON.parse(body) : {};
+        const events = normalizeHermesPush(raw);
+        log('INFO', 'webhook', `${events.length} event(s) from ${events[0]?.source ?? '?'} (${req.socket.remoteAddress})`);
+        const win = getWindow();
+        if (win && !win.isDestroyed()) {
+          for (const event of events) win.webContents.send(IPC.hermesPush, event);
+        }
+        json(200, { ok: true, events: events.length });
+      } catch (err) {
+        log('WARN', 'webhook', `invalid JSON payload: ${(err as Error).message}`);
+        json(400, { error: 'Invalid JSON' });
+      }
+    });
+  });
+
+  return new Promise((resolve) => {
+    const instance = server!;
+    instance.on('error', (err: NodeJS.ErrnoException) => {
+      log('ERROR', 'webhook', `server error: ${err.message}`);
+      status = { listening: false, port, path: WEBHOOK_PATH, secretConfigured: !!secret, error: err.message };
+      if (server === instance) server = null;
+      resolve(status);
+    });
+    if (!Number.isInteger(port) || port < 1 || port > 65535) {
+      instance.emit('error', new Error(`port invalide : ${port}`));
+      return;
+    }
+    instance.listen(port, host, () => {
+      log('INFO', 'webhook', `listening on http://${host}:${port}${WEBHOOK_PATH}`);
+      status = { listening: true, port, path: WEBHOOK_PATH, secretConfigured: !!secret };
+      resolve(status);
+    });
+  });
+}

electron/window.ts

@@ -0,0 +1,156 @@
+import { app, BrowserWindow, screen, shell } from 'electron';
+import { EventEmitter } from 'node:events';
+import fs from 'node:fs';
+import path from 'node:path';
+import { IPC, type WindowMode } from '../shared/ipc';
+import { log } from './logger';
+
+const HUD_SIZE = { width: 1320, height: 860, minWidth: 980, minHeight: 640 };
+const COMPACT_SIZE = { width: 380, height: 620, minWidth: 320, minHeight: 420 };
+
+let mainWindow: BrowserWindow | null = null;
+let currentMode: WindowMode = 'hud';
+export const windowEvents = new EventEmitter();
+// Transparent frameless windows cannot be resized reliably on Windows; use an opaque, rounded window there.
+const TRANSPARENT = process.platform !== 'win32';
+let hudBounds: Electron.Rectangle | null = null;
+
+export function getMainWindow(): BrowserWindow | null {
+  return mainWindow;
+}
+
+export function getWindowMode(): WindowMode {
+  return currentMode;
+}
+
+function fallbackHtml(reason: string): string {
+  return `<!doctype html><html><body style="margin:0;font-family:Segoe UI,Arial,sans-serif;background:#03070d;color:#9fe9ff;display:flex;align-items:center;justify-content:center;height:100vh">
+  <div style="max-width:560px;padding:28px;border:1px solid #1d5c70;border-radius:14px;background:#061018">
+  <h1 style="margin:0 0 12px;font-size:20px;letter-spacing:.08em">EVEFLOW - INTERFACE INDISPONIBLE</h1>
+  <p style="line-height:1.5">${reason}</p><p>Lancez <code>npm run build</code> puis relancez l'application.</p></div></body></html>`;
+}
+
+async function loadRenderer(win: BrowserWindow): Promise<void> {
+  const devUrl = process.env.VITE_DEV_SERVER_URL;
+  if (devUrl && !app.isPackaged) {
+    try {
+      await win.loadURL(devUrl);
+      win.webContents.openDevTools({ mode: 'detach' });
+      return;
+    } catch (err) {
+      log('WARN', 'window', `dev server unreachable (${(err as Error).message}), loading built bundle`);
+    }
+  }
+  const builtIndex = path.join(__dirname, '..', 'dist', 'index.html');
+  if (fs.existsSync(builtIndex)) {
+    await win.loadFile(builtIndex);
+    return;
+  }
+  await win.loadURL('data:text/html;charset=utf-8,' + encodeURIComponent(fallbackHtml('Le bundle dist/index.html est introuvable.')));
+}
+
+export function createMainWindow(): BrowserWindow {
+  const win = new BrowserWindow({
+    ...HUD_SIZE,
+    frame: false,
+    transparent: TRANSPARENT,
+    backgroundColor: TRANSPARENT ? '#00000000' : '#03070d',
+    roundedCorners: true,
+    hasShadow: true,
+    show: false,
+    title: 'EveFlow',
+    webPreferences: {
+      preload: path.join(__dirname, 'preload.js'),
+      contextIsolation: true,
+      nodeIntegration: false,
+      sandbox: true,
+      webSecurity: true,
+      allowRunningInsecureContent: false,
+      backgroundThrottling: false,
+      spellcheck: false
+    }
+  });
+  mainWindow = win;
+
+  win.once('ready-to-show', () => {
+    setTimeout(() => {
+      if (!win.isDestroyed()) win.show();
+    }, 60);
+  });
+
+  win.webContents.setWindowOpenHandler(({ url }) => {
+    if (/^https?:\/\//i.test(url)) void shell.openExternal(url);
+    return { action: 'deny' };
+  });
+  win.webContents.on('will-navigate', (event, url) => {
+    if (url === win.webContents.getURL()) return;
+    event.preventDefault();
+    if (/^https?:\/\//i.test(url)) void shell.openExternal(url);
+  });
+  win.webContents.on('will-redirect', (event) => event.preventDefault());
+  const notifyVisibility = () => {
+    if (!win.isDestroyed()) win.webContents.send(IPC.windowVisibility, win.isVisible() && !win.isMinimized());
+  };
+  win.on('show', notifyVisibility);
+  win.on('hide', notifyVisibility);
+  win.on('minimize', notifyVisibility);
+  win.on('restore', notifyVisibility);
+
+  win.on('closed', () => {
+    mainWindow = null;
+  });
+
+  loadRenderer(win).catch((err) => {
+    log('ERROR', 'window', `renderer load failed: ${(err as Error).message}`);
+    void win.loadURL('data:text/html;charset=utf-8,' + encodeURIComponent(fallbackHtml("Une erreur inattendue a interrompu le chargement de l'interface.")));
+  });
+
+  return win;
+}
+
+export function setWindowMode(mode: WindowMode): void {
+  const win = mainWindow;
+  if (!win || win.isDestroyed()) return;
+  if (mode === currentMode) {
+    win.webContents.send(IPC.windowModeChanged, mode);
+    return;
+  }
+
+  if (mode === 'compact') {
+    hudBounds = win.getBounds();
+    const display = screen.getDisplayMatching(win.getBounds());
+    const area = display.workArea;
+    win.setMinimumSize(COMPACT_SIZE.minWidth, COMPACT_SIZE.minHeight);
+    win.setBounds({
+      x: area.x + area.width - COMPACT_SIZE.width - 24,
+      y: area.y + area.height - COMPACT_SIZE.height - 24,
+      width: COMPACT_SIZE.width,
+      height: COMPACT_SIZE.height
+    }, true);
+    win.setAlwaysOnTop(true, 'floating');
+    win.setVisibleOnAllWorkspaces(true, { visibleOnFullScreen: true });
+  } else {
+    win.setAlwaysOnTop(false);
+    win.setVisibleOnAllWorkspaces(false);
+    win.setMinimumSize(HUD_SIZE.minWidth, HUD_SIZE.minHeight);
+    if (hudBounds) win.setBounds(hudBounds, true);
+    else {
+      win.setSize(HUD_SIZE.width, HUD_SIZE.height, true);
+      win.center();
+    }
+  }
+  currentMode = mode;
+  win.webContents.send(IPC.windowModeChanged, mode);
+  windowEvents.emit('mode', mode);
+}
+
+export function toggleWindowVisibility(): void {
+  const win = mainWindow;
+  if (!win || win.isDestroyed()) return;
+  if (win.isVisible() && win.isFocused()) {
+    win.hide();
+  } else {
+    win.show();
+    win.focus();
+  }
+}

index.html

@@ -2,10 +2,11 @@
 <html lang="fr">
   <head>
     <meta charset="UTF-8" />
-    <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,<svg xmlns=%22http://www.w3.org/2000/svg%22 viewBox=%220 0 100 100%22><text y=%22.9em%22 font-size=%2290%22>🤖</text></svg>" />
     <meta name="viewport" content="width=device-width, initial-scale=1.0" />
-    <meta name="description" content="EveFlow - Assistant IA compagnon 3D rétro-futuriste." />
+    <meta http-equiv="Content-Security-Policy" content="default-src 'self'; script-src 'self'; style-src 'self' 'unsafe-inline'; font-src 'self' data:; img-src 'self' data: blob: http: https:; media-src 'self' blob: data:; connect-src 'self' http: https: ws: wss: blob: data:; worker-src 'self' blob:;" />
-    <title>EveFlow Companion</title>
+    <meta name="description" content="EveFlow — interface vocale JARVIS pour Hermes Agent." />
+    <link rel="icon" type="image/svg+xml" href="data:image/svg+xml,%3Csvg xmlns='http://www.w3.org/2000/svg' viewBox='0 0 64 64'%3E%3Ccircle cx='32' cy='32' r='26' fill='none' stroke='%2334e4ff' stroke-width='4'/%3E%3Ccircle cx='32' cy='32' r='10' fill='%2334e4ff'/%3E%3C/svg%3E" />
+    <title>EveFlow</title>
   </head>
   <body>
     <div id="root"></div>

main.js

@@ -1,747 +0,0 @@
-const { app, BrowserWindow, ipcMain, session } = require('electron');
-const path = require('path');
-const fs = require('fs');
-const os = require('os');
-
-// Autoriser le chargement de fichiers locaux via fetch sous le protocole file://
-app.commandLine.appendSwitch('disable-web-security');
-app.commandLine.appendSwitch('allow-file-access-from-files');
-app.commandLine.appendSwitch('autoplay-policy', 'no-user-gesture-required');
-
-let mainWindow;
-
-// ── Single Instance Lock ───────────────────────────────────────────────────
-const gotTheLock = app.requestSingleInstanceLock();
-if (!gotTheLock) {
-  app.quit();
-  process.exit(0);
-}
-
-app.on('second-instance', () => {
-  if (mainWindow) {
-    if (mainWindow.isMinimized()) mainWindow.restore();
-    mainWindow.focus();
-  }
-});
-
-// ── Logging Setup ───────────────────────────────────────────────────────────
-function getLogPath() {
-  const userDataDir = app.getPath('userData');
-  return path.join(userDataDir, 'eveflow.log');
-}
-
-function writeLogEntry(entry) {
-  try {
-    const logPath = getLogPath();
-    const line = `[${entry.ts}] [${entry.level}] [${entry.tag}] ${entry.message}` +
-      (entry.data !== undefined ? ' | ' + JSON.stringify(entry.data) : '') + '\n';
-
-    // Rotation simple : si le fichier dépasse 5 Mo, on le renomme et on repart
-    try {
-      const stat = fs.statSync(logPath);
-      if (stat.size > 5 * 1024 * 1024) {
-        fs.renameSync(logPath, logPath + '.old');
-      }
-    } catch { /* fichier inexistant — normal au premier démarrage */ }
-
-    fs.appendFileSync(logPath, line, 'utf8');
-  } catch (err) {
-    console.error('[main] Impossible d\'écrire dans le log:', err.message);
-  }
-}
-
-
-
-// ── Webhook Server (Hermes → EveFlow push events) ──────────────────────────
-const http = require('http');
-const WEBHOOK_PORT = 7842;
-let webhookServer = null;
-
-// Normalize any Hermes push payload into an array of { type, role, text, source } events.
-// Handles multiple formats so EveFlow mirrors both sides of Telegram conversations.
-function normalizeHermesEvents(raw) {
-  const src = raw.platform || raw.source || 'webhook';
-  const collectImages = (obj) => {
-    const images = [];
-    const push = (value) => {
-      if (!value) return;
-      if (typeof value === 'string') images.push(value);
-      else if (typeof value === 'object') push(value.url || value.href || value.path || value.file || value.file_url || value.media_url);
-    };
-    for (const key of ['image', 'image_url', 'photo', 'media', 'url', 'file', 'file_url', 'media_url']) {
-      push(obj?.[key]);
-    }
-    for (const key of ['images', 'photos', 'media_urls', 'attachments', 'files']) {
-      const value = obj?.[key];
-      if (Array.isArray(value)) value.forEach(push);
-      else push(value);
-    }
-    return [...new Set(images)];
-  };
-  const withImages = (event, obj) => {
-    const images = collectImages(obj);
-    return images.length ? { ...event, images } : event;
-  };
-
-  // Format A — { type:'message', payload:{ text, role?, platform? } }
-  if (raw.type === 'message' && raw.payload?.text) {
-    return [withImages({
-      type: 'message',
-      role: raw.payload.role || 'assistant',
-      text: raw.payload.text,
-      source: raw.payload.platform || src
-    }, raw.payload)];
-  }
-
-  // Format B — run completed: { event:'run.completed', input?, output, platform? }
-  if ((raw.event === 'run.completed' || raw.type === 'run.completed') && raw.output) {
-    const events = [];
-    if (raw.input) events.push({ type: 'message', role: 'user', text: raw.input, source: src });
-    events.push(withImages({ type: 'message', role: 'assistant', text: raw.output, source: src }, raw));
-    return events;
-  }
-
-  // Format C — direct: { role, text, source? }
-  if (raw.role && raw.text) {
-    return [withImages({ type: 'message', role: raw.role, text: raw.text, source: src }, raw)];
-  }
-
-  // Format D — legacy: { type:'user_message'|'assistant_message', text }
-  if (raw.text && raw.type) {
-    const role = raw.type.includes('user') ? 'user' : 'assistant';
-    return [withImages({ type: 'message', role, text: raw.text, source: src }, raw)];
-  }
-
-  // Passthrough — let renderer decide
-  return [raw];
-}
-
-function startWebhookServer() {
-  webhookServer = http.createServer((req, res) => {
-    // Only accept POST /eveflow/hook
-    if (req.method !== 'POST' || req.url !== '/eveflow/hook') {
-      res.writeHead(404, { 'Content-Type': 'application/json' });
-      res.end(JSON.stringify({ error: 'Not Found' }));
-      return;
-    }
-
-    let body = '';
-    req.on('data', chunk => { body += chunk; });
-    req.on('end', () => {
-      try {
-        const raw = JSON.parse(body);
-        const events = normalizeHermesEvents(raw);
-
-        console.log(`[EveFlow Webhook] ${events.length} event(s) from ${events[0]?.source || '?'}`);
-        writeLogEntry({
-          ts: new Date().toISOString(),
-          level: 'INFO',
-          tag: 'Webhook',
-          message: `${events.length} event(s) received`,
-          data: events
-        });
-
-        // Forward each normalized event to the renderer
-        if (mainWindow && !mainWindow.isDestroyed()) {
-          for (const event of events) {
-            mainWindow.webContents.send('hermes-push', event);
-          }
-        }
-
-        res.writeHead(200, { 'Content-Type': 'application/json' });
-        res.end(JSON.stringify({ ok: true, events: events.length }));
-      } catch (err) {
-        console.error('[EveFlow Webhook] Parse error:', err.message);
-        res.writeHead(400, { 'Content-Type': 'application/json' });
-        res.end(JSON.stringify({ error: 'Invalid JSON' }));
-      }
-    });
-  });
-
-  webhookServer.listen(WEBHOOK_PORT, '0.0.0.0', () => {
-    console.log(`[EveFlow] Webhook server listening on http://0.0.0.0:${WEBHOOK_PORT}/eveflow/hook`);
-  });
-
-  webhookServer.on('error', (err) => {
-    console.error(`[EveFlow] Webhook server error: ${err.message}`);
-  });
-}
-
-function stopWebhookServer() {
-  if (webhookServer) {
-    webhookServer.close();
-    webhookServer = null;
-  }
-}
-
-function loadFallbackPage(reason) {
-  const html = `
-    <html>
-      <body style="margin:0;font-family:Arial,sans-serif;background:#f4f8fc;color:#0f172a;display:flex;align-items:center;justify-content:center;height:100vh;">
-        <div style="max-width:560px;padding:28px;border:2px solid #0f172a;background:white;border-radius:18px;">
-          <h1 style="margin:0 0 12px;font-size:22px;">EveFlow n'a pas pu charger l'interface</h1>
-          <p style="line-height:1.5;">${reason}</p>
-          <p style="line-height:1.5;">Lance <code>npm run build</code>, puis relance l'application.</p>
-        </div>
-      </body>
-    </html>
-  `;
-
-  return mainWindow.loadURL(`data:text/html;charset=utf-8,${encodeURIComponent(html)}`);
-}
-
-function loadBuiltApp() {
-  const builtIndex = path.join(__dirname, 'dist', 'index.html');
-  if (fs.existsSync(builtIndex)) {
-    return mainWindow.loadFile(builtIndex);
-  }
-
-  return loadFallbackPage("Le serveur Vite est indisponible et le dossier dist/index.html n'existe pas.");
-}
-
-async function loadApp() {
-  const isDev = process.env.NODE_ENV === 'development' || !app.isPackaged;
-
-  if (!isDev) {
-    await loadBuiltApp();
-    return;
-  }
-
-  const devServerUrl = process.env.VITE_DEV_SERVER_URL || 'http://localhost:5173';
-  try {
-    await mainWindow.loadURL(devServerUrl);
-  } catch (error) {
-    console.error(`Impossible de charger ${devServerUrl}; bascule sur le build local.`, error);
-    await loadBuiltApp();
-  }
-}
-
-function createWindow() {
-  mainWindow = new BrowserWindow({
-    width: 1120,
-    height: 860,
-    minWidth: 900,
-    minHeight: 680,
-    frame: false, // Supprime la barre de titre classique pour un style rétro-futuriste personnalisé
-    transparent: true, // Permet la transparence (fond de fenêtre transparent)
-    backgroundColor: '#00000000', // Fond transparent
-    hasShadow: true,
-    show: false, // Cache la fenêtre au démarrage pour éviter les problèmes visuels de DWM
-    webPreferences: {
-      preload: path.join(__dirname, 'preload.js'),
-      contextIsolation: true,      // Sécurité Zero Trust active
-      nodeIntegration: false,
-      webSecurity: false,          // Permet les requêtes HTTP vers API locales/LAN
-      allowRunningInsecureContent: true, // Autorise HTTP depuis le renderer (API locales)
-      backgroundThrottling: false, // Empêche Chromium de suspendre les processus audio/TTS en arrière-plan
-    },
-  });
-
-  mainWindow.once('ready-to-show', () => {
-    // Petit délai de sécurité (80ms) pour garantir la synchronisation DWM sous Windows
-    setTimeout(() => {
-      if (mainWindow && !mainWindow.isDestroyed()) {
-        mainWindow.show();
-      }
-    }, 80);
-  });
-
-  loadApp().catch((error) => {
-    console.error("Echec du chargement de l'application.", error);
-    loadFallbackPage("Une erreur inattendue a interrompu le chargement de l'interface.");
-  });
-
-  mainWindow.on('closed', () => {
-    mainWindow = null;
-  });
-}
-
-app.whenReady().then(() => {
-  // Configurer l'intercepteur de requêtes pour Google TTS pour contourner le blocage HTTP 403 (User-Agent Electron)
-  session.defaultSession.webRequest.onBeforeSendHeaders(
-    { urls: ['https://translate.google.com/*'] },
-    (details, callback) => {
-      details.requestHeaders['User-Agent'] = 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36';
-      details.requestHeaders['Referer'] = 'https://translate.google.com/';
-      callback({ cancel: false, requestHeaders: details.requestHeaders });
-    }
-  );
-
-  startWebhookServer();
-  createWindow();
-
-  app.on('activate', () => {
-    if (BrowserWindow.getAllWindows().length === 0) {
-      createWindow();
-    }
-  });
-});
-
-app.on('window-all-closed', () => {
-  stopWebhookServer();
-  if (process.platform !== 'darwin') {
-    app.quit();
-  }
-});
-
-// IPC Handler pour le contrôle de la fenêtre (Header personnalisé)
-ipcMain.on('window-control', (event, action) => {
-  if (!mainWindow) return;
-  switch (action) {
-    case 'minimize':
-      mainWindow.minimize();
-      break;
-    case 'maximize':
-      if (mainWindow.isMaximized()) {
-        mainWindow.unmaximize();
-      } else {
-        mainWindow.maximize();
-      }
-      break;
-    case 'close':
-      mainWindow.close();
-      break;
-  }
-});
-
-// IPC Handler pour basculer en mode flottant compact transparent (Eve Widget)
-ipcMain.on('set-window-mode', (event, mode) => {
-  if (!mainWindow) return;
-  if (mode === 'floating') {
-    // Mode flottant compact : 300x600
-    mainWindow.setResizable(true);
-    mainWindow.setMinimumSize(250, 350);
-    mainWindow.setSize(300, 600);
-    mainWindow.setAlwaysOnTop(true, 'screen-saver');
-    
-    // Positionner dans le coin inférieur droit de l'écran principal
-    const { screen } = require('electron');
-    const primaryDisplay = screen.getPrimaryDisplay();
-    const { width, height } = primaryDisplay.workAreaSize;
-    mainWindow.setPosition(width - 320, height - 620);
-    
-    event.reply('window-mode-changed', 'floating');
-  } else {
-    // Mode normal : chat complet
-    mainWindow.setAlwaysOnTop(false);
-    mainWindow.setMinimumSize(900, 680);
-    mainWindow.setSize(1120, 860);
-    mainWindow.center();
-    
-    event.reply('window-mode-changed', 'normal');
-  }
-});
-
-// IPC Handler pour ouvrir/fermer le cockpit sans ecraser Eve.
-ipcMain.on('set-cockpit-mode', (_event, isOpen) => {
-  if (!mainWindow) return;
-  if (mainWindow.isMaximized()) return;
-
-  const { screen } = require('electron');
-  const display = screen.getDisplayMatching(mainWindow.getBounds());
-  const workArea = display.workArea;
-  const bounds = mainWindow.getBounds();
-  const targetWidth = isOpen ? 1460 : 1120;
-  const nextWidth = Math.min(targetWidth, Math.max(900, workArea.width - 40));
-  const nextHeight = Math.min(Math.max(bounds.height, 820), workArea.height - 40);
-  const nextX = Math.min(bounds.x, workArea.x + workArea.width - nextWidth - 20);
-  const nextY = Math.min(bounds.y, workArea.y + workArea.height - nextHeight - 20);
-
-  mainWindow.setMinimumSize(isOpen ? 1180 : 900, 680);
-  mainWindow.setBounds({
-    x: Math.max(workArea.x + 20, nextX),
-    y: Math.max(workArea.y + 20, nextY),
-    width: nextWidth,
-    height: nextHeight
-  }, true);
-});
-
-// ── IPC Handler : écriture des logs du renderer vers disque ─────────────────
-ipcMain.on('write-log', (event, entry) => {
-  writeLogEntry(entry);
-});
-
-// ── IPC Handler : store persistant (indépendant de l'origine HTTP/file://) ──
-// Lit/écrit C:\Users\...\AppData\Roaming\eveflow\userdata.json
-function getStorePath() {
-  return path.join(app.getPath('userData'), 'userdata.json');
-}
-
-function readStoreFile() {
-  try {
-    const raw = fs.readFileSync(getStorePath(), 'utf8');
-    return JSON.parse(raw);
-  } catch {
-    return {};
-  }
-}
-
-function writeStoreFile(data) {
-  try {
-    fs.writeFileSync(getStorePath(), JSON.stringify(data, null, 2), 'utf8');
-  } catch (err) {
-    console.error('[EveFlow] Impossible d\'écrire userdata.json:', err.message);
-  }
-}
-
-ipcMain.handle('store-get', (_event, key) => {
-  const store = readStoreFile();
-  return store[key] ?? null;
-});
-
-ipcMain.handle('store-set', (_event, key, value) => {
-  const store = readStoreFile();
-  store[key] = value;
-  writeStoreFile(store);
-  return true;
-});
-
-// Handler de lecture de fichiers locaux sécurisé (Zéro Trust)
-// Retourne une Data URL (base64) pour contourner les restrictions CORS de Chromium
-ipcMain.handle('read-local-file', async (_event, filePath) => {
-  try {
-    if (!filePath || typeof filePath !== 'string') {
-      throw new Error("Chemin invalide");
-    }
-
-    // Normalisation du chemin
-    const normalizedPath = path.normalize(filePath);
-
-    // Prévention des attaques par traversée de répertoires
-    if (normalizedPath.includes('..')) {
-      throw new Error("Accès interdit (tentative de traversée de répertoires)");
-    }
-
-    // Validation des extensions de fichiers (Zéro Trust)
-    const ext = path.extname(normalizedPath).toLowerCase();
-    const allowedExtensions = [
-      '.png', '.jpg', '.jpeg', '.gif', '.webp', '.svg', '.bmp',
-      '.txt', '.csv', '.json', '.md', '.log', '.xml'
-    ];
-
-    if (!allowedExtensions.includes(ext)) {
-      throw new Error(`Type de fichier non autorisé : ${ext}`);
-    }
-
-    // Vérifier l'existence du fichier
-    if (!fs.existsSync(normalizedPath)) {
-      throw new Error("Fichier introuvable");
-    }
-
-    // Mappage des types MIME
-    let mimeType = 'application/octet-stream';
-    if (ext === '.png') mimeType = 'image/png';
-    else if (ext === '.jpg' || ext === '.jpeg') mimeType = 'image/jpeg';
-    else if (ext === '.gif') mimeType = 'image/gif';
-    else if (ext === '.webp') mimeType = 'image/webp';
-    else if (ext === '.svg') mimeType = 'image/svg+xml';
-    else if (ext === '.txt' || ext === '.log') mimeType = 'text/plain';
-    else if (ext === '.csv') mimeType = 'text/csv';
-    else if (ext === '.json') mimeType = 'application/json';
-    else if (ext === '.md') mimeType = 'text/markdown';
-
-    // Lecture du fichier sur le disque
-    const content = fs.readFileSync(normalizedPath);
-    const base64 = content.toString('base64');
-    
-    return `data:${mimeType};base64,${base64}`;
-
-  } catch (err) {
-    console.error(`[main] Erreur de lecture de fichier local (${filePath}) :`, err.message);
-    writeLogEntry({
-      ts: new Date().toISOString(),
-      level: 'ERROR',
-      tag: 'IPC-File',
-      message: `Échec de lecture du fichier: ${filePath} - ${err.message}`
-    });
-    throw err;
-  }
-});
-
-// Handler pour charger une image distante via Node.js (contourne CORS et les restrictions du navigateur Electron)
-// Retourne une Data URL base64 pour un affichage garanti sans flickering ni erreur CORS
-ipcMain.handle('fetch-remote-image', async (_event, url, extraHeaders = {}) => {
-  const https = require('https');
-  const http = require('http');
-
-  writeLogEntry({ ts: new Date().toISOString(), level: 'INFO', tag: 'IPC-Image', message: `fetch-remote-image: ${url}` });
-
-  return new Promise((resolve, reject) => {
-    try {
-      if (!url || typeof url !== 'string' || (!url.startsWith('http://') && !url.startsWith('https://'))) {
-        const err = `URL invalide : ${url}`;
-        writeLogEntry({ ts: new Date().toISOString(), level: 'ERROR', tag: 'IPC-Image', message: err });
-        reject(new Error(err));
-        return;
-      }
-
-      const client = url.startsWith('https://') ? https : http;
-      let timeoutId;
-      let isSettled = false;
-      const settleReject = (err) => {
-        if (isSettled) return;
-        isSettled = true;
-        clearTimeout(timeoutId);
-        reject(err);
-      };
-      const settleResolve = (value) => {
-        if (isSettled) return;
-        isSettled = true;
-        clearTimeout(timeoutId);
-        resolve(value);
-      };
-
-      const req = client.get(url, {
-        headers: {
-          'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
-          'Accept': 'image/*, */*',
-          ...extraHeaders,
-        },
-      }, (res) => {
-        writeLogEntry({ ts: new Date().toISOString(), level: 'INFO', tag: 'IPC-Image', message: `HTTP ${res.statusCode} — Content-Type: ${res.headers['content-type']} — URL: ${url}` });
-
-        // Gérer les redirects HTTP 301/302
-        if ((res.statusCode === 301 || res.statusCode === 302) && res.headers.location) {
-          writeLogEntry({ ts: new Date().toISOString(), level: 'INFO', tag: 'IPC-Image', message: `Redirect → ${res.headers.location}` });
-          // Suivre le redirect récursivement
-          const newUrl = res.headers.location;
-          const newClient = newUrl.startsWith('https://') ? https : http;
-          newClient.get(newUrl, { headers: { 'User-Agent': 'Mozilla/5.0', 'Accept': 'image/*' } }, (res2) => {
-            if (res2.statusCode !== 200) { reject(new Error(`HTTP ${res2.statusCode} après redirect`)); return; }
-            const chunks2 = [];
-            res2.on('data', c => chunks2.push(c));
-            res2.on('end', () => {
-              const buf = Buffer.concat(chunks2);
-              const ct = ((res2.headers['content-type'] || 'image/jpeg').split(';')[0]).trim();
-              settleResolve(`data:${ct};base64,${buf.toString('base64')}`);
-            });
-          }).on('error', settleReject);
-          return;
-        }
-
-        if (res.statusCode !== 200) {
-          const err = `HTTP ${res.statusCode} pour ${url}`;
-          writeLogEntry({ ts: new Date().toISOString(), level: 'ERROR', tag: 'IPC-Image', message: err });
-          res.resume();
-          settleReject(new Error(err));
-          return;
-        }
-
-        const chunks = [];
-        res.on('data', chunk => chunks.push(chunk));
-        res.on('end', () => {
-          try {
-            const buf = Buffer.concat(chunks);
-            const ct = ((res.headers['content-type'] || 'image/jpeg').split(';')[0]).trim();
-            const dataUrl = `data:${ct};base64,${buf.toString('base64')}`;
-            writeLogEntry({ ts: new Date().toISOString(), level: 'INFO', tag: 'IPC-Image', message: `Image chargée OK — ${buf.length} octets — ${ct}` });
-            settleResolve(dataUrl);
-          } catch (e) {
-            settleReject(e);
-          }
-        });
-        res.on('error', settleReject);
-      });
-
-      timeoutId = setTimeout(() => {
-        req.destroy();
-        const err = `Timeout (12s) pour ${url}`;
-        writeLogEntry({ ts: new Date().toISOString(), level: 'ERROR', tag: 'IPC-Image', message: err });
-        settleReject(new Error(err));
-      }, 12000);
-      req.on('error', (err) => {
-        writeLogEntry({ ts: new Date().toISOString(), level: 'ERROR', tag: 'IPC-Image', message: `Erreur réseau: ${err.message} — ${url}` });
-        settleReject(err);
-      });
-    } catch (err) {
-      writeLogEntry({ ts: new Date().toISOString(), level: 'ERROR', tag: 'IPC-Image', message: `Exception: ${err.message}` });
-      reject(err);
-    }
-  });
-});
-
-// ── CPU Telemetry Helper ───────────────────────────────────────────────────
-function getCpuLoad() {
-  const cpus = os.cpus();
-  if (!cpus || cpus.length === 0) return { idle: 0, total: 0 };
-  
-  let user = 0, nice = 0, sys = 0, idle = 0, irq = 0;
-  for (const cpu of cpus) {
-    user += cpu.times.user;
-    nice += cpu.times.nice;
-    sys += cpu.times.sys;
-    idle += cpu.times.idle;
-    irq += cpu.times.irq;
-  }
-  const total = user + nice + sys + idle + irq;
-  return { idle, total };
-}
-
-let lastCpuStats = getCpuLoad();
-
-function getRealCpuPercentage() {
-  const current = getCpuLoad();
-  const idleDiff = current.idle - lastCpuStats.idle;
-  const totalDiff = current.total - lastCpuStats.total;
-  lastCpuStats = current;
-  if (totalDiff === 0) return 0;
-  return Math.max(0, Math.min(100, 100 * (1 - idleDiff / totalDiff)));
-}
-
-ipcMain.handle('get-system-metrics', async () => {
-  try {
-    const hostname = os.hostname().toUpperCase();
-    const cpus = os.cpus();
-    const baseFreq = (cpus && cpus.length > 0) ? cpus[0].speed : 2400; // fallback to 2.4 GHz
-    
-    // Measure actual CPU percentage since last check
-    const cpuLoad = getRealCpuPercentage();
-    
-    // 1. Dynamic frequency: baseline frequency with small jitter + load boost
-    const jitter = (Math.random() - 0.5) * 12; // dynamic fluctuation
-    const dynamicFreq = Math.round(baseFreq * (1.0 + (cpuLoad / 100) * 0.15) + jitter);
-    
-    // 2. Dynamic temperature matching load: baseline of 35.8°C + load increase + thermal noise
-    const thermalNoise = (Math.random() - 0.5) * 0.6;
-    const cpuTemp = parseFloat((35.8 + (cpuLoad * 0.38) + thermalNoise).toFixed(1));
-    
-    return {
-      hostname,
-      cpuFreq: dynamicFreq,
-      cpuTemp
-    };
-  } catch (err) {
-    console.error('[main] Erreur lors de la télémétrie:', err.message);
-    return {
-      hostname: 'UNKNOWN_HOST',
-      cpuFreq: 2400,
-      cpuTemp: 37.0
-    };
-  }
-});
-
-// ── Shared Directory Resolution ─────────────────────────────────────────────
-function getSharedDirectory() {
-  try {
-    const docsDir = path.join(os.homedir(), 'Documents', 'EveFlow_Shared');
-    if (!fs.existsSync(docsDir)) {
-      fs.mkdirSync(docsDir, { recursive: true });
-    }
-    return docsDir;
-  } catch (err) {
-    console.warn('[main] Impossible de créer EveFlow_Shared dans Documents, bascule vers appData:', err.message);
-    const fallbackDir = path.join(app.getPath('userData'), 'shared');
-    if (!fs.existsSync(fallbackDir)) {
-      fs.mkdirSync(fallbackDir, { recursive: true });
-    }
-    return fallbackDir;
-  }
-}
-
-// ── IPC Handler : Écriture de fichier partagé sécurisé ──────────────────────
-ipcMain.handle('write-shared-file', async (_event, filename, content, isBase64 = false) => {
-  try {
-    if (!filename || typeof filename !== 'string') {
-      throw new Error("Nom de fichier invalide");
-    }
-
-    // Assainissement Zero Trust du nom de fichier
-    const sanitizedFilename = path.basename(filename);
-    if (sanitizedFilename.includes('..') || sanitizedFilename !== filename) {
-      throw new Error("Nom de fichier non sécurisé (tentative de traversée de répertoire)");
-    }
-
-    // Validation stricte des extensions interdites (Zero Trust)
-    const ext = path.extname(sanitizedFilename).toLowerCase();
-    const forbiddenExtensions = [
-      '.exe', '.bat', '.cmd', '.ps1', '.vbs', '.msi', '.scr', '.pif', '.reg', '.sh',
-      '.com', '.hta', '.vbe', '.wsf', '.lnk'
-    ];
-    if (forbiddenExtensions.includes(ext)) {
-      throw new Error(`Extension de fichier interdite pour des raisons de sécurité : ${ext}`);
-    }
-
-    const sharedDir = getSharedDirectory();
-    const targetPath = path.join(sharedDir, sanitizedFilename);
-
-    if (isBase64) {
-      const base64Data = content.replace(/^data:image\/\w+;base64,/, "");
-      fs.writeFileSync(targetPath, Buffer.from(base64Data, 'base64'));
-    } else {
-      fs.writeFileSync(targetPath, content, 'utf8');
-    }
-
-    writeLogEntry({
-      ts: new Date().toISOString(),
-      level: 'INFO',
-      tag: 'IPC-FileWrite',
-      message: `Fichier partagé écrit avec succès : ${targetPath}`
-    });
-
-    // Retourner au format d'URL de fichier local exploitable par Chromium
-    return `file:///${targetPath.replace(/\\/g, '/')}`;
-  } catch (err) {
-    console.error('[main] Erreur write-shared-file:', err.message);
-    writeLogEntry({
-      ts: new Date().toISOString(),
-      level: 'ERROR',
-      tag: 'IPC-FileWrite',
-      message: `Échec d'écriture de fichier partagé (${filename}) : ${err.message}`
-    });
-    throw err;
-  }
-});
-
-// ── IPC Handler : Ouverture sécurisée de fichier local par l'OS ─────────────
-ipcMain.handle('open-local-file', async (_event, filePath) => {
-  try {
-    if (!filePath || typeof filePath !== 'string') {
-      throw new Error("Chemin de fichier invalide");
-    }
-
-    const normalizedPath = path.normalize(filePath);
-    if (normalizedPath.includes('..')) {
-      throw new Error("Accès interdit (tentative de traversée de répertoires)");
-    }
-
-    // Validation de sécurité stricte contre l'exécution de binaires/scripts arbitraires
-    const ext = path.extname(normalizedPath).toLowerCase();
-    const forbiddenExtensions = [
-      '.exe', '.bat', '.cmd', '.ps1', '.vbs', '.msi', '.scr', '.pif', '.reg', '.sh',
-      '.com', '.hta', '.vbe', '.wsf', '.lnk', '.js', '.jar'
-    ];
-    if (forbiddenExtensions.includes(ext)) {
-      throw new Error(`Ouverture refusée pour des raisons de sécurité : l'exécution directe de scripts ou exécutables (${ext}) est désactivée.`);
-    }
-
-    if (!fs.existsSync(normalizedPath)) {
-      throw new Error("Le fichier spécifié n'existe pas sur le disque.");
-    }
-
-    const { shell } = require('electron');
-    await shell.openPath(normalizedPath);
-
-    writeLogEntry({
-      ts: new Date().toISOString(),
-      level: 'INFO',
-      tag: 'IPC-FileOpen',
-      message: `Fichier ouvert avec succès via l'OS : ${normalizedPath}`
-    });
-
-    return { success: true };
-  } catch (err) {
-    console.error('[main] Erreur open-local-file:', err.message);
-    writeLogEntry({
-      ts: new Date().toISOString(),
-      level: 'ERROR',
-      tag: 'IPC-FileOpen',
-      message: `Échec d'ouverture de fichier (${filePath}) : ${err.message}`
-    });
-    throw err;
-  }
-});
-
-// Afficher le chemin du log au démarrage pour faciliter le débogage
-app.whenReady().then(() => {
-  console.log(`[EveFlow] Log file: ${getLogPath()}`);
-});

package.json

@@ -1,31 +1,42 @@
 {
   "name": "eveflow",
-  "version": "1.0.4",
+  "version": "2.3.0",
-  "description": "Retro-futuristic Windows companion with 3D Eve bot, local TTS/STT, and multi-agent connectivity",
+  "releaseVersion": "2.3.0",
-  "main": "main.js",
+  "description": "JARVIS-style desktop HUD for Hermes Agent: voice, streaming runs, scheduled jobs, skills and telemetry",
+  "main": "dist-electron/main.js",
+  "private": true,
+  "license": "MIT",
   "scripts": {
-    "dev": "vite",
+    "dev": "vite --host 127.0.0.1 --port 5173 --strictPort",
-    "build": "tsc && vite build",
+    "build": "npm run typecheck && npm run build:renderer && npm run build:electron",
-    "preview": "vite preview",
+    "build:renderer": "vite build",
+    "build:electron": "node scripts/build-electron.mjs",
+    "typecheck": "tsc -p tsconfig.json --noEmit && tsc -p tsconfig.electron.json --noEmit",
+    "test": "vitest run",
+    "test:watch": "vitest",
     "electron": "electron .",
-    "start": "concurrently -k \"npm run dev -- --host 127.0.0.1 --port 5173 --strictPort\" \"wait-on http://localhost:5173 && npm run electron\"",
+    "start": "npm run build:electron && concurrently -k -s first \"npm run dev\" \"wait-on http://127.0.0.1:5173 && cross-env NODE_ENV=development VITE_DEV_SERVER_URL=http://127.0.0.1:5173 electron .\"",
-    "dist": "electron-builder --win"
+    "preview": "vite preview",
+    "dist": "node scripts/dist.mjs",
+    "typecheck:electron": "tsc -p tsconfig.electron.json --noEmit"
   },
   "build": {
     "appId": "com.romik3.eveflow",
     "productName": "EveFlow",
     "copyright": "Copyright © 2026 R0m1k3",
-    "asar": false,
+    "asar": true,
     "directories": {
-      "output": "out"
+      "output": "out",
+      "buildResources": "build"
     },
     "files": [
-      "main.js",
+      "dist-electron/**/*",
-      "preload.js",
+      "dist/**/*",
-      "dist/**/*"
+      "package.json"
     ],
     "win": {
       "target": "nsis",
+      "icon": "build/icon.png",
       "requestedExecutionLevel": "asInvoker",
       "signAndEditExecutable": false,
       "verifyUpdateCodeSignature": false
@@ -36,28 +47,52 @@
       "createDesktopShortcut": true,
       "createStartMenuShortcut": true,
       "shortcutName": "EveFlow"
-    }
+    },
+    "extraResources": [
+      {
+        "from": "build/icon.png",
+        "to": "icon.png"
+      }
+    ],
+    "asarUnpack": [
+      "dist-electron/voice-worker.js",
+      "node_modules/sherpa-onnx-node/**",
+      "node_modules/sherpa-onnx-win-x64/**",
+      "node_modules/sherpa-onnx-linux-x64/**",
+      "node_modules/sherpa-onnx-darwin-arm64/**",
+      "node_modules/sherpa-onnx-darwin-x64/**"
+    ],
+    "npmRebuild": false
   },
   "dependencies": {
-    "@react-three/drei": "^9.105.0",
+    "@fontsource/orbitron": "^5.3.0",
-    "@react-three/fiber": "^8.16.0",
+    "@fontsource/rajdhani": "^5.3.0",
-    "lucide-react": "^0.379.0",
+    "@fontsource/share-tech-mono": "^5.3.0",
-    "react": "^18.3.1",
+    "lucide-react": "^1.40.0",
-    "react-dom": "^18.3.1",
+    "react": "^19.2.8",
+    "react-dom": "^19.2.8",
     "react-markdown": "^10.1.0",
     "remark-gfm": "^4.0.1",
-    "three": "^0.163.0"
+    "sherpa-onnx-node": "^1.13.7",
+    "zustand": "^5.0.15"
   },
   "devDependencies": {
-    "@types/react": "^18.3.1",
+    "@types/node": "^24.0.0",
-    "@types/react-dom": "^18.3.1",
+    "@types/react": "^19.2.18",
-    "@types/three": "^0.163.0",
+    "@types/react-dom": "^19.2.0",
-    "@vitejs/plugin-react": "^4.2.1",
+    "@types/unbzip2-stream": "^1.4.3",
-    "concurrently": "^8.2.2",
+    "@vitejs/plugin-react": "^6.1.1",
-    "electron": "^30.0.1",
+    "concurrently": "^10.0.5",
-    "electron-builder": "^26.8.1",
+    "cross-env": "^10.0.0",
-    "typescript": "^5.4.2",
+    "electron": "^44.1.1",
-    "vite": "^5.2.2",
+    "electron-builder": "^26.15.3",
-    "wait-on": "^7.2.0"
+    "esbuild": "^0.28.2",
+    "jsdom": "^30.0.1",
+    "tar": "^7.5.22",
+    "typescript": "^5.9.3",
+    "unbzip2-stream": "^1.4.3",
+    "vite": "^8.2.2",
+    "vitest": "^5.0.0",
+    "wait-on": "^9.1.0"
   }
 }

preload.js

@@ -1,34 +0,0 @@
-const { contextBridge, ipcRenderer } = require('electron');
-
-// Exposition sécurisée via contextBridge (Zéro Trust contextIsolation)
-contextBridge.exposeInMainWorld('electronAPI', {
-  windowControl: (action) => ipcRenderer.send('window-control', action),
-  setWindowMode: (mode) => ipcRenderer.send('set-window-mode', mode),
-  setCockpitMode: (isOpen) => ipcRenderer.send('set-cockpit-mode', isOpen),
-  onWindowModeChanged: (callback) => {
-    const subscription = (event, mode) => callback(mode);
-    ipcRenderer.on('window-mode-changed', subscription);
-    return () => ipcRenderer.removeListener('window-mode-changed', subscription);
-  },
-  // Logging : envoie une entrée structurée vers le processus principal pour écriture disque
-  writeLog: (entry) => ipcRenderer.send('write-log', entry),
-  // Webhook : abonnement aux events pushés par Hermes
-  onHermesPush: (callback) => {
-    const subscription = (event, data) => callback(data);
-    ipcRenderer.on('hermes-push', subscription);
-    return () => ipcRenderer.removeListener('hermes-push', subscription);
-  },
-  // Store persistant fichier — indépendant de l'origine HTTP/file://
-  storeGet: (key) => ipcRenderer.invoke('store-get', key),
-  storeSet: (key, value) => ipcRenderer.invoke('store-set', key, value),
-  // Lecture de fichier local sécurisée
-  readLocalFile: (filePath) => ipcRenderer.invoke('read-local-file', filePath),
-  // Télémétrie réelle système
-  getSystemMetrics: () => ipcRenderer.invoke('get-system-metrics'),
-  // Écriture de fichier partagé
-  writeSharedFile: (filename, content, isBase64) => ipcRenderer.invoke('write-shared-file', filename, content, isBase64),
-  // Ouverture de fichier local
-  openLocalFile: (filePath) => ipcRenderer.invoke('open-local-file', filePath),
-  // Chargement d'une image distante via Node.js (contourne CORS \u2014 retourne une Data URL base64)
-  fetchRemoteImage: (url, extraHeaders = {}) => ipcRenderer.invoke('fetch-remote-image', url, extraHeaders),
-});

public/Eve/EVE.mtl

@@ -1,72 +0,0 @@
-# Blender 4.5.5 LTS MTL File: 'None'
-# www.blender.org
-
-newmtl ArmLight
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_4a4a505db864ac4a_14.png
-map_d tex1_128x128_m_2f869d05e999c94a_0.png
-
-newmtl Eve
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_16x16_m_60d58f4141724929_14.png
-
-newmtl Eye
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_32x32_m_cad406fa8385be70_14.png
-map_d tex1_32x32_m_c8162c34352a09e2_0.png
-
-newmtl HeadGun
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-d 1.000000
-illum 1
-map_Kd tex1_128x128_m_87b2e2053969c2c1_14.png
-
-newmtl Lights
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_b3ab82716f6eb03b_14.png
-map_d tex1_128x128_e0ee4f7cd514a91a_0.png
-
-newmtl UpperBody
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_7149b995a42d2f50_14.png
-map_d tex1_128x128_m_164b500fe0940dee_0.png
-
-newmtl Visor
-Ns 0.000000
-Ka 1.000000 1.000000 1.000000
-Ks 0.000000 0.000000 0.000000
-Ke 0.000000 0.000000 0.000000
-Ni 1.500000
-illum 1
-map_Kd tex1_128x128_m_499edc885bc97572_14.png
-map_d tex1_128x128_m_f2552de8e9085d25_0.png