Move getUserMessage() to the base LlmError class so every error type
gets a German explanation with a clickable settings deep-link:
- TierTooLowError: "Kein KI-Modell aktiviert. Mindestens X benötigt."
- ProviderBlockedError: "… hat die Anfrage blockiert (Inhaltsfilter)."
- BackendUnreachableError: "… ist nicht erreichbar."
- EdgeLoadFailedError: "Browser-Modell konnte nicht geladen werden."
- Generic fallback: also includes the settings link now
The companion engine now catches LlmError (base class) instead of
only NoTierAvailableError, covering all failure modes.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Error messages now include a clickable Markdown link
"KI-Einstellungen öffnen" that navigates to /?app=settings#ai-options,
which opens the settings panel in the workbench, switches to the AI
tab, and scrolls to the LLM options section.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Track skip reasons per tier in the orchestrator (no-consent,
no-backend, not-available, not-ready, runtime-error) and expose
them via NoTierAvailableError.getUserMessage() with actionable
German text pointing the user to the right settings page.
Before: "No tier could run task 'companion.chat' (attempted: cloud)"
After: "Cloud (Gemini): Cloud-Einwilligung fehlt. Aktiviere sie
unter Einstellungen → KI."
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Adding an app to a workbench scene threw DataCloneError. scenesState
is a $state array, so current.openApps was a Svelte 5 proxy and
spreading it into a new array left proxy entries inside; IndexedDB's
structured clone refuses to serialise those. Snapshot before handing
the array to patchScene / createScene so Dexie sees plain objects.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
