fix: resolve all audit findings — e2e coverage, feature system hardening, visual baselines

- Add 8 new E2E specs for AI tools (upscale, enhance-faces, colorize,
  restore-photo, erase-object, smart-crop, passport-photo, red-eye-removal)
  closing all HIGH/MEDIUM coverage gaps from the test matrix audit
- Fix ensureAiDirs() crash on non-Docker environments by gating on
  isDockerEnvironment() — prevents ENOENT when /data doesn't exist
- Bump torch 2.6.0→2.7.0 and torchvision 0.21.0→0.22.0 in feature
  manifest for broader Python version compatibility
- Add Python 3.14 version guard warning in install_feature.py
- Remove duplicate torchvision shims from upscale.py and enhance_faces.py
  (dispatcher.py already handles this at startup)
- Remove orphaned tools.batch i18n key and dead pipeline-builder filter
- Regenerate 4 visual regression baselines for current UI state
- Add data-testid to passport-photo generate button for E2E testability

apps/api/src/lib/feature-status.ts

@@ -38,6 +38,7 @@ export function getManifestPath(): string {
 // ── Directory setup ─────────────────────────────────────────────────────
 
 export function ensureAiDirs(): void {
+  if (!isDockerEnvironment()) return;
   mkdirSync(join(AI_DIR, "venv"), { recursive: true });
   mkdirSync(MODELS_DIR, { recursive: true });
   mkdirSync(join(AI_DIR, "pip-cache"), { recursive: true });