- Implement date range filtering for access logs and request statistics
- Add log cleanup scheduling with configurable cron expression
- Update UI components to support date range selection
- Refactor log processing and parsing to handle date filtering
- Add new database migration for log cleanup cron configuration
- Remove deprecated log rotation management logic
- Add server-side model fetching endpoint with flexible provider support
- Refactor client-side AI settings component to use new API query
- Implement dynamic header generation for different AI providers
- Enhance error handling and toast notifications
- Remove local model fetching logic in favor of server-side implementation
- Introduce Railpack as a new build method for applications
- Update database schema to include 'railpack' in buildType enum
- Add Railpack installation and validation scripts for servers
- Implement Railpack build and command generation utilities
- Update UI to include Railpack as a build option with a 'New' badge
Restructure the project view tabs to follow a more intuitive user journey:
- Group tabs into "Initial Setup", "Deployment", and "Monitoring" sections
- Maintain "Advanced" as a standalone option
- Order tabs to match typical project workflow (configuration → deployment → monitoring)
This reorganization reduces cognitive load by grouping related functions,
minimizes tab switching during common tasks, and provides a clearer
mental model of the platform's workflow for new users.
- Add deployment index numbering in the UI
- Adjust deployment cleanup to retain 9 instead of 10 deployments
- Update deployment list rendering to show numbered status
- Integrate multiple AI SDK providers including Anthropic, Azure, Cohere, DeepInfra, Mistral, and OpenAI Compatible
- Update package.json and pnpm-lock.yaml with new AI SDK dependencies
- Enhance template generation with configFiles feature
- Update StepTwo and StepThree components to display and edit configuration files
- Modify AI router and schemas to support configuration file mounting
- Refine AI service prompt to provide stricter guidelines for config file usage
- Refactor AI-related schemas and services to use organizationId instead of adminId
- Update AI router to check organization-level permissions
- Modify AI settings creation and retrieval to work with organization context
- Adjust server-side props and access checks for AI settings
