The index on user_id column in profiles table improves query performance for user-related operations, particularly in join queries and user profile retrieval.
This commit introduces a full-featured agent architecture including persistent memory storage using vector embeddings, multi-step planning capabilities with dynamic replanning, and an extensible tool registry supporting custom function definitions. The agent now maintains conversation history with summarization, supports parallel tool execution, and includes a feedback loop for self-correction on failed actions.
The profiles table previously lacked an index on the user_id column, causing full table scans during user lookups. This change adds a B-tree index on user_id to improve query performance for profile retrieval operations.
The new index on the `user_id` column in the `profiles` table improves query performance when filtering or joining by user identifier, reducing full table scans during authentication and profile retrieval operations.
The new index on the `user_id` column in the `profiles` table improves query performance when filtering or joining by user identifier, reducing full table scans during authentication and profile retrieval operations.
The new index on the `user_id` column in the `profiles` table improves query performance when filtering or joining by user identifier, reducing full table scans during profile retrieval operations.
- Inserted <meta name="description"> tag with site summary
- Added Open Graph (og:title, og:description, og:image) and Twitter Card meta tags to index.html head
- Ensures search engines and social platforms display rich previews
The parse function now checks for empty input at the top and returns immediately, avoiding unnecessary processing overhead for trivial cases. This optimization reduces latency for empty-string calls by skipping regex compilation and match attempts.
Implement avatar management with image upload, client-side cropping, and server-side storage. Users can now upload profile pictures from their local filesystem, crop them to a square aspect ratio using a drag-and-resize interface, and save the result. The backend stores cropped images in a dedicated avatars directory and updates the user record with the new avatar path. Includes validation for file type and size limits, plus fallback to default avatar on error.
