Wardrowbe

Improved CI/CD by building arm64 images natively instead of using QEMU.

This release includes bug fixes for image EXIF orientation, user field validation, wardrobe bulk upload chunking, and upload queue durability.

Introduces external outfit authoring, a durable upload queue for bulk uploads, improved AI tagging concurrency, and various bug fixes for item analysis and preprocessing.

Introduces internationalization support for 8 locales, adds bulk-delete functionality for outfits, and includes various bug fixes and CI/CD improvements.

This release adds a custom User-Agent to the JWKS client, defers item tagging to an external agent, and improves AI tagging error handling and outfit suggestion reporting.

This release includes bug fixes for the production compose file and improvements to API URL resolution and proxying.

Introduces page-size controls, flexible bulk upload options, AI analysis cancellation, PUID/PGID overrides, and fixes for bulk upload failures and backend URL overrides.

This release makes the internal AI optional, adds a capabilities endpoint, and improves weather location fallbacks and login error handling.

This release fixes OIDC issuer URL and related issues while implementing automated Docker image publishing to GHCR.

This release introduces a mobile callback feature, adds a cognitive cache, and includes several bug fixes for the learning service and studio item selection.

Fixed proxy timeout issues with Next.js rewrites.

Fixes item pairing logic, adds new clothing types, and improves UI text and outfit refetching.

Fixed a bug to ensure a separate test database is used instead of falling back to the production database.

This release includes bug fixes for diagnose error messages and enables dev credential login in Docker production builds.

This release includes various bug fixes, CI improvements, TypeScript type updates, and documentation enhancements.