feat: serveur MCP, heures calmes, mode mission, widget glanceable, barge-in (v2.4.0) (#14)

Serveur MCP local
- Endpoint /mcp (JSON-RPC 2.0, Streamable HTTP, réponses JSON) sur le serveur
  webhook : initialize, tools/list, tools/call, ping. Même secret que le
  webhook. 14 outils : capture_screen (image MCP), lock_session, open_app,
  open_url, media_key, clipboard_get/set, find_files, speak_text,
  notify_user, set_hud_state, get_app_status, get_conversation_history,
  show_message. Les outils UI transitent par IPC vers le renderer.
- Les mêmes actions système sont proposées au modèle en chat completions.

Notifications
- Heures calmes (plage horaire, franchissement de minuit), mots prioritaires,
  échecs de crons toujours lus, résumé vocal des messages entrants (n premières
  phrases), thème nuit automatique, compteur de non-lus.

Conversation
- Mode mission : bouton dans la barre de commande, second modèle Hermes
  (hermes.missionModel) pour les tâches longues.
- Barge-in : la parole de l'utilisateur coupe la voix ; seuil d'énergie et
  ratio relevés pendant la synthèse pour ignorer l'écho.

Widget compact
- Bandeau glanceable : état, dernière phrase, non-lus, indicateurs heures
  calmes et mission.

Tests : 28 tests unitaires (heures calmes, priorité, résumé), e2e Electron
sous Xvfb : MCP initialize/tools/list/tools/call (presse-papiers, capture en
image, état et message via le renderer), bandeau compact, aucune erreur.


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

Co-authored-by: Claude <noreply@anthropic.com>

.github/workflows/windows-release.yml

@@ -0,0 +1,79 @@
+name: Build
+
+on:
+  push:
+    branches: [main, master]
+    tags: ["v*"]
+  pull_request:
+  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:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-node@v4
+        with:
+          node-version: 22
+          cache: npm
+      - run: npm ci
+      - name: Read version
+        id: ver
+        shell: bash
+        run: |
+          version=$(node -p "const p=require('./package.json'); p.releaseVersion || p.version")
+          echo "version=$version" >> "$GITHUB_OUTPUT"
+          # Fourth component (hotfix number, e.g. 2.0.0.1) becomes the Windows file build number.
+          echo "build=$(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: ${{ steps.ver.outputs.build }}
+      - uses: actions/upload-artifact@v4
+        with:
+          name: EveFlow-Windows-v${{ 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') || 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
+            out/latest.yml

.gitignore

@@ -1,5 +1,8 @@
 node_modules/
 dist/
+dist-electron/
+out/
 .env
 .env.local
 *.log
+.vite/

Eve/EVE.mtl

@@ -1,72 +0,0 @@
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-# www.blender.org
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-
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-Ni 1.500000
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-illum 1
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-
-newmtl Eye
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-Ni 1.500000
-illum 1
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-
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-Ni 1.500000
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-illum 1
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-
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-
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-Ks 0.000000 0.000000 0.000000
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-Ni 1.500000
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-
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-Ni 1.500000
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-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
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-
-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
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-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
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-
-newmtl Lights
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-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
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-map_d tex1_128x128_e0ee4f7cd514a91a_0.png
-
-newmtl UpperBody
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-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
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-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
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-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

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-# 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

@@ -0,0 +1,137 @@
+# EveFlow 2 — Interface vocale JARVIS pour Hermes Agent
+
+[![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-2.4.0-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 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).
+
+---
+
+## Fonctionnalités
+
+### 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.
+* **Serveur MCP intégré** : Hermes se connecte à `http://<pc>:7842/mcp` et obtient les outils du PC (capture d'écran renvoyée en image, verrouillage, applications, URL, touches média, presse-papiers, recherche de fichiers, voix, notifications, état du HUD, affichage dans le fil). Même port et même secret que le webhook ; en mode chat completions, les mêmes outils sont proposés directement au modèle.
+* **Heures calmes et priorités** : plage horaire pendant laquelle les messages poussés s'affichent sans être lus ni faire clignoter le noyau (badge « non lus » à la place), thème nuit automatique, mots prioritaires lus quand même, résumé vocal des rapports longs (les premières phrases seulement).
+* **Mode mission** : un bouton dans la barre de commande bascule sur un second modèle Hermes (plus puissant) pour les tâches longues ; le modèle rapide reste utilisé pour la conversation courante.
+* **Widget compact « glanceable »** : état (veille, écoute, réflexion, parle), dernière phrase de l'assistant, badge de non-lus, indicateurs heures calmes et mission.
+* **Barge-in** : en mains libres, parler par-dessus l'assistant coupe sa voix ; le seuil est relevé pendant qu'il parle pour ignorer l'écho du haut-parleur.
+* **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.
+
+---
+
+## Stack
+
+* Electron 44 (sandbox, contextIsolation, `webSecurity` actif, proxy HTTP en streaming dans le main process)
+* React 19 + Vite 8 + TypeScript 5.9 + Zustand
+* Canvas 2D, Web Audio (AudioWorklet, AnalyserNode)
+* sherpa-onnx (ONNX Runtime) pour la voix locale, exécuté dans un `utilityProcess` Electron
+* Vitest pour les tests unitaires (SSE, VAD, WAV, normalisation d'événements Hermes)
+
+```
+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
+```
+
+---
+
+## Prérequis côté Hermes
+
+Activez le serveur API dans la configuration Hermes (`~/.hermes/config.yaml`) ou via l'environnement :
+
+```
+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" }
+```
+
+---
+
+### Donner à Hermes les outils du PC (MCP)
+
+Dans `~/.hermes/config.yaml` côté Hermes :
+
+```yaml
+mcp_servers:
+  eveflow:
+    url: "http://<ip-du-pc>:7842/mcp"
+    headers:
+      Authorization: "Bearer <secret du webhook EveFlow>"
+```
+
+Sans secret, EveFlow n'écoute qu'en local (`127.0.0.1`) ; définissez un secret dans Paramètres → Webhook pour un Hermes distant. Outils exposés : `capture_screen`, `lock_session`, `open_app`, `open_url`, `media_key`, `clipboard_get`, `clipboard_set`, `find_files`, `speak_text`, `notify_user`, `set_hud_state`, `get_app_status`, `get_conversation_history`, `show_message`.
+
+## Développement
+
+```bash
+npm install
+npm start          # Vite + Electron (rechargement à chaud du renderer)
+npm test           # tests unitaires
+npm run typecheck  # renderer + main process
+```
+
+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).
+
+## Packaging Windows et versions
+
+```bash
+npm run dist
+```
+
+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.
+
+---
+
+## Licence
+
+MIT.

docs/ROADMAP.md

@@ -0,0 +1,82 @@
+# 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 ») |
+| Serveur MCP local (outils du PC pour Hermes) | Fait (2.4.0) | `/mcp` sur le serveur webhook, JSON-RPC Streamable HTTP, 14 outils dont la capture d'écran renvoyée en image |
+| Heures calmes, priorités, résumé vocal | Fait (2.4.0) | Paramètres → Notifications ; thème nuit automatique ; badge non-lus |
+| Mode mission (second modèle) | Fait (2.4.0) | Bouton dans la barre de commande ; modèle dédié aux tâches longues |
+| Widget compact glanceable | Fait (2.4.0) | État, dernière phrase, non-lus, indicateurs |
+| Barge-in | Fait (2.4.0) | Coupe la voix dès que l'utilisateur parle ; seuil relevé pendant la synthèse (à valider avec l'annulation d'écho Windows) |
+| 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.
+- Exposition à Hermes via le serveur MCP local livrée en 2.4.0.
+
+### Étape 3 : conversation plus naturelle — livrée en 2.4.0
+- Barge-in : l'utilisateur qui parle par-dessus coupe la voix ; seuil d'énergie relevé pendant la synthèse pour ignorer l'écho (à valider sur Windows avec l'annulation d'écho du micro).
+- Mode mission : second modèle Hermes choisi d'un clic pour les tâches longues.
+- Serveur MCP local : Hermes enchaîne lui-même les actions du PC dans ses runs.
+
+### Étape 4 : présence — livrée en 2.4.0
+- Widget compact glanceable : état, dernière phrase, non-lus, indicateurs heures calmes / mission.
+- Heures calmes, mots prioritaires, résumé vocal des messages entrants, thème nuit.
+
+### Pistes suivantes
+- Voix différente par contexte (nuit, travail) et profils de réponse.
+- Mémoire locale des préférences transmise à Hermes (`X-Hermes-Session-Key` déjà en place).
+- Validation du barge-in et des touches média sur Windows réel (retours utilisateurs).
+
+## 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 |
+| Serveur MCP (2.4.0) | initialize, tools/list (14 outils), tools/call côté principal (presse-papiers, capture image) et côté renderer (état, message 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/mcp.ts

@@ -0,0 +1,191 @@
+/**
+ * Minimal MCP server (Streamable HTTP, JSON-RPC 2.0) mounted on the webhook HTTP server at /mcp.
+ * Hermes Agent connects to it as a remote MCP server and gains the PC-side tools: screen capture,
+ * system actions, voice, notifications and HUD state. No SDK: initialize / tools/list / tools/call
+ * are the only methods a client needs, and every reply is a plain JSON body.
+ */
+import { ipcMain, type BrowserWindow } from 'electron';
+import type { IncomingMessage, ServerResponse } from 'node:http';
+import { IPC, type McpToolRequest, type McpToolResponse } from '../shared/ipc';
+import type { SystemAction } from '../shared/bridge';
+import { log } from './logger';
+import { captureScreen, runSystemAction } from './ipc/system';
+
+export const MCP_PATH = '/mcp';
+const PROTOCOL = '2025-03-26';
+const RENDERER_TIMEOUT_MS = 20_000;
+
+interface ToolSpec {
+  name: string;
+  description: string;
+  inputSchema: Record<string, unknown>;
+  /** 'main' = executed here; 'renderer' = forwarded to the UI process. */
+  where: 'main' | 'renderer';
+}
+
+const obj = (properties: Record<string, unknown>, required: string[] = []) => ({ type: 'object', properties, required, additionalProperties: false });
+
+export const MCP_TOOLS: ToolSpec[] = [
+  { name: 'capture_screen', description: "Capture l'écran principal de l'utilisateur et renvoie l'image (JPEG). À utiliser quand l'utilisateur parle de ce qu'il voit ou demande de l'aide sur son écran.", inputSchema: obj({ max_width: { type: 'integer', description: 'Largeur maximale en pixels (défaut 1600)' } }), where: 'main' },
+  { name: 'lock_session', description: "Verrouille la session Windows/Linux/macOS de l'utilisateur.", inputSchema: obj({}), where: 'main' },
+  { name: 'open_app', description: "Lance une application sur le PC de l'utilisateur (bloc-notes, calculatrice, chrome, spotify, vscode, terminal, explorateur…).", inputSchema: obj({ name: { type: 'string' } }, ['name']), where: 'main' },
+  { name: 'open_url', description: "Ouvre une URL http(s) dans le navigateur par défaut de l'utilisateur.", inputSchema: obj({ url: { type: 'string' } }, ['url']), where: 'main' },
+  { name: 'media_key', description: 'Envoie une touche média : volume-up, volume-down, mute, play-pause, next, previous.', inputSchema: obj({ key: { type: 'string', enum: ['volume-up', 'volume-down', 'mute', 'play-pause', 'next', 'previous'] } }, ['key']), where: 'main' },
+  { name: 'clipboard_get', description: 'Lit le texte du presse-papiers.', inputSchema: obj({}), where: 'main' },
+  { name: 'clipboard_set', description: 'Place un texte dans le presse-papiers.', inputSchema: obj({ text: { type: 'string' } }, ['text']), where: 'main' },
+  { name: 'find_files', description: "Cherche des fichiers par nom dans Documents, Bureau, Téléchargements et Images de l'utilisateur (25 résultats max).", inputSchema: obj({ query: { type: 'string' } }, ['query']), where: 'main' },
+  { name: 'speak_text', description: "Fait prononcer un texte par la voix d'EveFlow, immédiatement.", inputSchema: obj({ text: { type: 'string' } }, ['text']), where: 'renderer' },
+  { name: 'notify_user', description: 'Affiche une notification système (titre + corps).', inputSchema: obj({ title: { type: 'string' }, body: { type: 'string' } }, ['body']), where: 'renderer' },
+  { name: 'set_hud_state', description: 'Change momentanément l’état visuel du HUD : neutral, happy, thinking, alert, error.', inputSchema: obj({ state: { type: 'string', enum: ['neutral', 'happy', 'thinking', 'alert', 'error'] } }, ['state']), where: 'renderer' },
+  { name: 'get_app_status', description: "État d'EveFlow : transport, liaison, nom de l'assistant, mains libres, voix en cours, heures calmes.", inputSchema: obj({}), where: 'renderer' },
+  { name: 'get_conversation_history', description: 'Derniers messages de la conversation EveFlow (n ≤ 30).', inputSchema: obj({ n: { type: 'integer' } }), where: 'renderer' },
+  { name: 'show_message', description: "Affiche un message dans le fil EveFlow (sans le prononcer) — pour les rapports longs ou les résultats de crons.", inputSchema: obj({ text: { type: 'string' }, title: { type: 'string' } }, ['text']), where: 'renderer' }
+];
+
+type Rec = Record<string, unknown>;
+interface RpcRequest {
+  jsonrpc?: string;
+  id?: number | string | null;
+  method?: string;
+  params?: Rec;
+}
+
+const pending = new Map<string, { resolve: (r: McpToolResponse) => void; timer: ReturnType<typeof setTimeout> }>();
+let seq = 0;
+let ipcRegistered = false;
+
+function ensureIpc(): void {
+  if (ipcRegistered) return;
+  ipcRegistered = true;
+  ipcMain.on(IPC.mcpResponse, (_e, res: McpToolResponse) => {
+    if (!res || typeof res.id !== 'string') return;
+    const entry = pending.get(res.id);
+    if (!entry) return;
+    clearTimeout(entry.timer);
+    pending.delete(res.id);
+    entry.resolve(res);
+  });
+}
+
+function askRenderer(win: BrowserWindow | null, name: string, args: Rec): Promise<McpToolResponse> {
+  ensureIpc();
+  if (!win || win.isDestroyed()) return Promise.resolve({ id: '', ok: false, error: 'EveFlow window unavailable' });
+  const id = `mcp-${++seq}-${Date.now()}`;
+  const req: McpToolRequest = { id, name, args };
+  return new Promise((resolve) => {
+    const timer = setTimeout(() => {
+      pending.delete(id);
+      resolve({ id, ok: false, error: 'renderer timeout' });
+    }, RENDERER_TIMEOUT_MS);
+    pending.set(id, { resolve, timer });
+    win.webContents.send(IPC.mcpRequest, req);
+  });
+}
+
+function text(value: unknown): { content: Array<Rec>; isError?: boolean } {
+  return { content: [{ type: 'text', text: typeof value === 'string' ? value : JSON.stringify(value) }] };
+}
+
+function failure(message: string): { content: Array<Rec>; isError: boolean } {
+  return { content: [{ type: 'text', text: message }], isError: true };
+}
+
+async function callTool(win: BrowserWindow | null, name: string, args: Rec): Promise<{ content: Array<Rec>; isError?: boolean }> {
+  const spec = MCP_TOOLS.find((t) => t.name === name);
+  if (!spec) return failure(`Outil inconnu : ${name}`);
+  if (spec.where === 'renderer') {
+    const res = await askRenderer(win, name, args);
+    return res.ok ? text(res.result ?? { ok: true }) : failure(res.error ?? 'échec');
+  }
+  const sys = async (action: SystemAction) => {
+    const r = await runSystemAction(action);
+    return r.ok ? text(r.data !== undefined ? { ok: true, message: r.message, data: r.data } : { ok: true, message: r.message }) : failure(r.message ?? 'échec');
+  };
+  switch (name) {
+    case 'capture_screen': {
+      const dataUrl = await captureScreen(Number(args.max_width) || 1600);
+      const base64 = dataUrl.slice(dataUrl.indexOf(',') + 1);
+      return { content: [{ type: 'image', data: base64, mimeType: 'image/jpeg' }, { type: 'text', text: `Capture de l'écran principal (${Math.round(base64.length * 0.75 / 1024)} ko).` }] };
+    }
+    case 'lock_session':
+      return sys({ type: 'lock' });
+    case 'open_app':
+      return sys({ type: 'open-app', name: String(args.name ?? '') });
+    case 'open_url':
+      return sys({ type: 'open-url', url: String(args.url ?? '') });
+    case 'media_key':
+      return sys({ type: 'media', key: String(args.key ?? '') as 'mute' });
+    case 'clipboard_get':
+      return sys({ type: 'clipboard-read' });
+    case 'clipboard_set':
+      return sys({ type: 'clipboard-write', text: String(args.text ?? '') });
+    case 'find_files':
+      return sys({ type: 'find-files', query: String(args.query ?? '') });
+    default:
+      return failure(`Outil non implémenté : ${name}`);
+  }
+}
+
+/** Handle one JSON-RPC message; returns the response object (or null for notifications). */
+export async function handleMcpMessage(win: BrowserWindow | null, msg: RpcRequest): Promise<Rec | null> {
+  const id = msg.id ?? null;
+  const reply = (result: unknown) => ({ jsonrpc: '2.0', id, result });
+  const error = (code: number, message: string) => ({ jsonrpc: '2.0', id, error: { code, message } });
+  if (!msg.method) return error(-32600, 'Invalid Request');
+  if (msg.method.startsWith('notifications/')) return null;
+  switch (msg.method) {
+    case 'initialize':
+      return reply({ protocolVersion: PROTOCOL, capabilities: { tools: { listChanged: false } }, serverInfo: { name: 'eveflow', version: process.env.npm_package_version ?? '2.4.0' }, instructions: "Outils du PC de l'utilisateur via EveFlow : écran, applications, volume, presse-papiers, voix et notifications." });
+    case 'ping':
+      return reply({});
+    case 'tools/list':
+      return reply({ tools: MCP_TOOLS.map(({ name, description, inputSchema }) => ({ name, description, inputSchema })) });
+    case 'tools/call': {
+      const params = (msg.params ?? {}) as Rec;
+      const name = String(params.name ?? '');
+      const args = (params.arguments && typeof params.arguments === 'object' ? params.arguments : {}) as Rec;
+      log('INFO', 'mcp', `tools/call ${name}`);
+      try {
+        return reply(await callTool(win, name, args));
+      } catch (err) {
+        return reply(failure((err as Error).message));
+      }
+    }
+    case 'resources/list':
+      return reply({ resources: [] });
+    case 'prompts/list':
+      return reply({ prompts: [] });
+    default:
+      return error(-32601, `Method not found: ${msg.method}`);
+  }
+}
+
+/** HTTP entry point: POST /mcp with one JSON-RPC message or a batch. */
+export async function handleMcpHttp(win: BrowserWindow | null, req: IncomingMessage, res: ServerResponse, body: string): Promise<void> {
+  const send = (code: number, payload: unknown) => {
+    if (payload === undefined) {
+      res.writeHead(code, { 'Cache-Control': 'no-store' });
+      res.end();
+      return;
+    }
+    res.writeHead(code, { 'Content-Type': 'application/json', 'Cache-Control': 'no-store' });
+    res.end(JSON.stringify(payload));
+  };
+  if (req.method === 'GET') return send(405, { error: 'SSE stream not supported; use POST' });
+  if (req.method === 'DELETE') return send(204, undefined);
+  if (req.method !== 'POST') return send(405, { error: 'Method Not Allowed' });
+  let parsed: unknown;
+  try {
+    parsed = body.trim() ? JSON.parse(body) : {};
+  } catch {
+    return send(400, { jsonrpc: '2.0', id: null, error: { code: -32700, message: 'Parse error' } });
+  }
+  const messages = Array.isArray(parsed) ? (parsed as RpcRequest[]) : [parsed as RpcRequest];
+  const replies: Rec[] = [];
+  for (const msg of messages) {
+    const out = await handleMcpMessage(win, msg && typeof msg === 'object' ? msg : {});
+    if (out) replies.push(out);
+  }
+  if (replies.length === 0) return send(202, undefined);
+  return send(200, Array.isArray(parsed) ? replies : replies[0]);
+}

electron/preload.ts

@@ -0,0 +1,89 @@
+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 type { McpToolRequest, McpToolResponse } from '../shared/ipc';
+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>,
+    onToolRequest: (cb: (req: McpToolRequest) => void) => subscribe<McpToolRequest>(IPC.mcpRequest, cb),
+    toolResponse: (res: McpToolResponse) => ipcRenderer.send(IPC.mcpResponse, res),
+    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 +1,137 @@
+/**
+ * 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';
+import { handleMcpHttp, MCP_PATH } from './mcp';
+
+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 ${host} without a secret`);
+
+  server = http.createServer((req, res) => {
+    const json = (code: number, payload: unknown) => {
+      res.writeHead(code, { 'Content-Type': 'application/json', 'Cache-Control': 'no-store' });
+      res.end(JSON.stringify(payload));
+    };
+
+    if (req.method === 'GET' && (req.url === '/health' || req.url === '/')) {
+      return json(200, { ok: true, app: 'eveflow', path: WEBHOOK_PATH, mcp: MCP_PATH });
+    }
+    const isMcp = !!req.url && (req.url === MCP_PATH || req.url.startsWith(`${MCP_PATH}?`));
+    if (!isMcp && (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 ${req.socket.remoteAddress}: bad secret`);
+        return json(401, { error: 'Unauthorized' });
+      }
+    }
+
+    const chunks: Buffer[] = [];
+    let bytes = 0;
+    let tooLarge = false;
+    req.on('data', (chunk: Buffer) => {
+      if (tooLarge) return;
+      bytes += chunk.length;
+      if (bytes > MAX_BODY_BYTES) {
+        tooLarge = true;
+        res.writeHead(413, { 'Content-Type': 'application/json', Connection: 'close' });
+        res.end(JSON.stringify({ error: 'Payload too large' }), () => req.socket.destroy());
+        return;
+      }
+      chunks.push(chunk);
+    });
+    req.on('end', () => {
+      if (tooLarge) return;
+      // Concatenate before decoding so multibyte UTF-8 (accents, emoji) split across chunks stays intact.
+      const body = Buffer.concat(chunks).toString('utf8');
+      if (isMcp) {
+        handleMcpHttp(getWindow(), req, res, body).catch((err: Error) => {
+          log('ERROR', 'mcp', err.message);
+          if (!res.headersSent) json(500, { error: err.message });
+        });
+        return;
+      }
+      try {
+        const raw: unknown = body.trim() ? JSON.parse(body) : {};
+        const events = normalizeHermesPush(raw);
+        log('INFO', 'webhook', `${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

@@ -1,560 +0,0 @@
-const { app, BrowserWindow, ipcMain } = require('electron');
-const path = require('path');
-const fs = require('fs');
-const os = require('os');
-
-let mainWindow;
-
-// ── 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';
-
-  // Format A — { type:'message', payload:{ text, role?, platform? } }
-  if (raw.type === 'message' && raw.payload?.text) {
-    return [{
-      type: 'message',
-      role: raw.payload.role || 'assistant',
-      text: raw.payload.text,
-      source: raw.payload.platform || src
-    }];
-  }
-
-  // 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({ type: 'message', role: 'assistant', text: raw.output, source: src });
-    return events;
-  }
-
-  // Format C — direct: { role, text, source? }
-  if (raw.role && raw.text) {
-    return [{ type: 'message', role: raw.role, text: raw.text, source: src }];
-  }
-
-  // Format D — legacy: { type:'user_message'|'assistant_message', text }
-  if (raw.text && raw.type) {
-    const role = raw.type.includes('user') ? 'user' : 'assistant';
-    return [{ type: 'message', role, text: raw.text, source: src }];
-  }
-
-  // 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: 1000,
-    height: 700,
-    minWidth: 400,
-    minHeight: 500,
-    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,
-    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)
-    },
-  });
-
-  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(() => {
-  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 : 320x450
-    mainWindow.setResizable(true);
-    mainWindow.setMinimumSize(250, 350);
-    mainWindow.setSize(300, 400);
-    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 - 420);
-    
-    event.reply('window-mode-changed', 'floating');
-  } else {
-    // Mode normal : chat complet
-    mainWindow.setAlwaysOnTop(false);
-    mainWindow.setMinimumSize(400, 500);
-    mainWindow.setSize(1000, 700);
-    mainWindow.center();
-    
-    event.reply('window-mode-changed', 'normal');
-  }
-});
-
-// ── 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;
-  }
-});
-
-// ── 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

@@ -1,34 +1,98 @@
 {
   "name": "eveflow",
-  "version": "1.0.0",
+  "version": "2.4.0",
-  "description": "Retro-futuristic Windows companion with 3D Eve bot, local TTS/STT, and multi-agent connectivity",
+  "releaseVersion": "2.4.0",
-  "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 .\"",
+    "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": true,
+    "directories": {
+      "output": "out",
+      "buildResources": "build"
+    },
+    "files": [
+      "dist-electron/**/*",
+      "dist/**/*",
+      "package.json"
+    ],
+    "win": {
+      "target": "nsis",
+      "icon": "build/icon.png",
+      "requestedExecutionLevel": "asInvoker",
+      "signAndEditExecutable": false,
+      "verifyUpdateCodeSignature": false
+    },
+    "nsis": {
+      "oneClick": false,
+      "allowToChangeInstallationDirectory": true,
+      "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",
-    "typescript": "^5.4.2",
+    "cross-env": "^10.0.0",
-    "vite": "^5.2.2",
+    "electron": "^44.1.1",
-    "wait-on": "^7.2.0"
+    "electron-builder": "^26.15.3",
+    "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

@@ -1,31 +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),
-  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),
-});