feat!: rebuild EveFlow as a JARVIS-style voice HUD for Hermes Agent (v2.0.0)

Complete rewrite of the application:

- Toolchain: Electron 44, Vite 8, React 19, TypeScript 5.9, Zustand, Vitest;
  main process rewritten in TypeScript (electron/), typed IPC contract (shared/),
  sandboxed renderer with webSecurity on and an HTTP/SSE proxy in the main process.
- Voice: AudioWorklet microphone capture at 16 kHz with adaptive energy VAD and
  auto-stop, WAV encoder, OpenAI-compatible STT, TTS queue with sentence-level
  streaming, prefetch and Web Audio playback feeding an analyser; hands-free mode,
  global push-to-talk hotkey, system-voice fallback.
- Hermes: full API client (capabilities, health, models, skills, toolsets,
  sessions, jobs) with automatic transport selection: runs API (SSE lifecycle,
  approvals, steer, stop) > sessions stream > chat completions with local tools;
  tolerant event normalisation; webhook receiver hardened (secret, size limit).
- UI: JARVIS arc-reactor core on Canvas 2D reacting to the real audio signal,
  holographic HUD layout (transcript, core, Hermes ops panel with tools/crons/
  skills/sessions/link tabs, telemetry), settings drawer, approval modals,
  compact floating widget, four themes, tray icon and global shortcuts.
- Removed the 3D Eve robot, three.js and legacy assets; migrated 1.x settings.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017Wn5VX9HNbJ7N54hR24u9Y

tests/text.test.ts

@@ -0,0 +1,27 @@
+import { describe, expect, it } from 'vitest';
+import { chunkForSpeech, cleanForSpeech, extractSentences, preprocessMedia } from '../src/lib/text';
+
+describe('text', () => {
+  it('cleans markdown for speech', () => {
+    const out = cleanForSpeech('**Bonjour** ! Voir [le site](https://x.io) et `npm` 😀\n\n```js\nconsole.log(1)\n```\n- item un\n- item deux');
+    expect(out).not.toMatch(/\*|https|```|😀/);
+    expect(out).toContain('Bonjour');
+    expect(out).toContain('item un');
+  });
+
+  it('extracts complete sentences from a stream buffer', () => {
+    const { sentences, rest } = extractSentences('Première phrase complète. Deuxième phrase aussi ! Troisième en cours');
+    expect(sentences).toEqual(['Première phrase complète.', 'Deuxième phrase aussi !']);
+    expect(rest).toBe(' Troisième en cours');
+  });
+
+  it('does not split inside an open code fence', () => {
+    expect(extractSentences('Voici. ```js\nfoo(). bar\n').sentences).toEqual([]);
+  });
+
+  it('chunks long text', () => {
+    const chunks = chunkForSpeech('mot '.repeat(200), 100);
+    expect(chunks.every((c) => c.length <= 100)).toBe(true);
+    expect(preprocessMedia('MEDIA:/tmp/a.png')).toContain('![image](/tmp/a.png)');
+  });
+});