57826dc5ee
User Story: As a user, I want to be able to scroll up to review previous messages while the AI is streaming or adding new content, without being constantly dragged back to the bottom. Implementation: - Replaced position-based threshold detection with user-intent tracking - Detects when user scrolls UP and disables auto-scroll completely - Auto-scroll only re-enables when user manually returns to bottom (<5px) - Uses refs to track scroll position and direction for smooth operation - Works seamlessly during rapid token streaming and tool execution Technical Details: - lastScrollTopRef: Tracks previous scroll position to detect direction - userScrolledUpRef: Flag set when upward scrolling is detected - Direct scrollTop manipulation for instant, non-fighting scroll behavior - Threshold of 5px from absolute bottom to re-enable auto-scroll Spec Updates: - Added comprehensive Smart Auto-Scroll section to UI_UX.md - Documented the problem, solution, requirements, and implementation - Includes code examples and edge case handling Acceptance Criteria Met: ✅ Auto-scroll disabled when scrolling up ✅ Auto-scroll resumes when returning to bottom ✅ Works normally when already at bottom ✅ Smooth detection without flickering ✅ Works during streaming and tool execution Files Changed: - src/components/Chat.tsx: Implemented user-intent tracking - .living_spec/specs/functional/UI_UX.md: Added Smart Auto-Scroll spec - .living_spec/stories/22_smart_autoscroll.md: Marked complete
1.3 KiB
1.3 KiB
Story 23: Alphabetize LLM Dropdown List
User Story
As a user, I want the LLM model dropdown to be alphabetically sorted so I can quickly find the model I'm looking for.
Acceptance Criteria
- The model dropdown list is sorted alphabetically (case-insensitive)
- The currently selected model remains selected after sorting
- The sorting works for all models returned from Ollama
- The sorted list updates correctly when models are added/removed
Out of Scope
- Grouping models by type or provider
- Custom sort orders (e.g., by popularity, recency)
- Search/filter functionality in the dropdown
- Favoriting or pinning specific models to the top
Technical Notes
- Models are fetched from
get_ollama_modelsTauri command - Currently displayed in the order returned by the backend
- Sort should be case-insensitive (e.g., "Llama" and "llama" treated equally)
- JavaScript's
sort()withlocaleCompare()is ideal for this
Implementation Approach
// After fetching models from backend
const sortedModels = models.sort((a, b) =>
a.toLowerCase().localeCompare(b.toLowerCase())
);
setAvailableModels(sortedModels);
Design Considerations
- Keep it simple - alphabetical order is intuitive
- Case-insensitive to handle inconsistent model naming
- No need to change backend - sorting on frontend is sufficient