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* refactor(local_ai): default to opt-in on all devices (#573) Local AI now defaults to disabled whenever the user has not explicitly picked a tier, regardless of device RAM. The onboarding flow and Settings panel remain the only ways to turn it on. Previously the bootstrap only disabled local AI on <8 GB devices and auto-applied a recommended preset on larger hosts; this flip completes the MVP goal of cloud-first defaults with a single, opt-in local model. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * style(local_ai): apply cargo fmt to bootstrap tests (#573) Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(onboarding): present cloud AI as default on sufficient-RAM path (#573) Flips the LocalAIStep sufficient-RAM screen so the primary button is "Continue with Cloud" and local AI appears as an explicit opt-in ("Use local AI instead"). This aligns onboarding with the new opt-in bootstrap: every device now starts on cloud unless the user chooses local AI. The low-RAM cloud-fallback screen is unchanged. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * test(onboarding): cover opt-in local AI semantics in LocalAIStep (#573) Updates the sufficient-RAM path tests to match the cloud-primary UI: the default "Continue with Cloud" click advances without triggering local AI bootstrap, and the secondary "Use local AI instead" opt-in still starts the recommended-preset bootstrap and propagates errors. Low-RAM cloud-fallback tests are unchanged. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * feat(local_ai): add opt_in_confirmed marker to local AI config (#573) Bootstrap will hard-override `enabled=false` unless this marker is true, ensuring existing installs with a stale `selected_tier` from the pre-MVP default-on era fall back to cloud until the user explicitly re-opts in. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * fix(local_ai): hard-override local AI to disabled until explicit opt-in (#573) Every bootstrap path now returns `enabled=false` unless `opt_in_confirmed` is true, regardless of device RAM or `selected_tier`. This closes the regression where upgrading users with a persisted `selected_tier` bypassed the onboarding opt-in and started local AI without consent. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * refactor(local_ai): set opt_in_confirmed on apply_preset and surface MVP tier only (#573) `apply_preset` is the single source of truth for the opt-in marker: any non-disabled tier flips it true, `disabled` clears it. The preset RPC now returns `mvp_presets()` so the Settings UI exposes only the allowlisted `ram_2_4gb` tier, matching the MVP scope already enforced on the onboarding path. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> * revert(local_ai): keep full preset catalog in presets RPC (#573) Revert the `mvp_presets()` swap in `handle_local_ai_presets`. PR #588 already renders all 5 tier cards in Settings with non-MVP tiers shown as "Coming soon" / non-selectable, and that roadmap visibility is the intended UX. Returning only the MVP tier from the RPC hid the other 4 cards entirely and broke that signal. The opt-in gate still holds: `apply_preset` remains the single writer of `opt_in_confirmed`, the RPC guard continues to reject non-MVP apply_preset calls, and the bootstrap hard-override still clamps stale configs. This commit only rolls back the UI catalog surface. Fixes failing `json_rpc_local_ai_device_profile_and_presets` integration test which expects 5 presets. Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.7 <noreply@anthropic.com>
Tauri + React + Typescript
This template should help get you started developing with Tauri, React and Typescript in Vite.