- Changed NODE_ENV from development to production in .env.example for production readiness.
- Updated WEBUI_URL to point to the new public URL behind Traefik.
- Added internal and external networks in docker-compose.yml for improved service isolation and routing.
- Removed direct port exposure for the WebUI, ensuring it is only accessible through Traefik.
- Refactored landing and login pages in the WebUI to streamline navigation and error handling, redirecting users appropriately based on session status.
- Updated RootLayout to include locale support and integrated ThemeProvider and LocaleProvider for better internationalization.
- Replaced static home page content with a redirect based on user session status, enhancing user experience by directing to the appropriate dashboard or login page.
- Switched font from Geist to Inter for improved typography consistency.
- Implemented AutoMod capabilities including spam filtering, anti-raid, and anti-nuke actions.
- Added Logging module to track moderation actions and events across the bot.
- Introduced Welcome module for customizable welcome messages and autoroles.
- Developed Verification system with captcha and role assignment features.
- Updated Prisma schema to include new models for AutoMod, Logging, Welcome, and Verification.
- Enhanced command localization for new features in both German and English.
- Improved health server to handle captcha verification requests.
- Added new environment variable for public base URL to support captcha links.
- Updated .env.example to include backup configuration options.
- Modified docker-compose.yml to mount backup volume.
- Enhanced Dockerfile to install PostgreSQL client.
- Added EscalationRule model to Prisma schema for managing warning escalation.
- Updated environment validation in env.ts to include backup settings.
- Refactored job handling in jobs.ts to implement backup jobs and cleanup.
- Introduced escalation commands in moderation service for managing user warnings.
- Updated moderation commands to apply escalation rules based on warning count.
