feat(admin): Add API monitoring, debug console, and system health templates for enhanced admin interface
docs: Add AI system cleanup summary and audit report detailing architecture, token management, and recommendations
docs: Introduce credits and tokens system guide outlining configuration, data flow, and monitoring strategies
- Added conditional visibility for table actions based on content state (published/draft).
- Introduced `publishContent` and `unpublishContent` API functions for handling WordPress integration.
- Updated `Content` component to manage publish/unpublish actions with appropriate error handling and success notifications.
- Refactored `PostEditor` to remove deprecated SEO fields and consolidate taxonomy management.
- Enhanced `TablePageTemplate` to filter row actions based on visibility conditions.
- Updated backend API to support publishing and unpublishing content with proper status updates and external references.
- Removed deprecated fields from Content and Task models, including entity_type, sync_status, and cluster_role.
- Updated Content model to include new fields: content_type, content_structure, taxonomy_terms, source, external_id, and cluster_id.
- Refactored Writer module components (Content, ContentView, Dashboard, Tasks) to align with new schema.
- Enhanced Dashboard metrics and removed unused filters.
- Implemented ClusterDetail page to display cluster information and associated content.
- Updated API service interfaces to reflect changes in data structure.
- Adjusted sorting and filtering logic across various components to accommodate new field names and types.
- Improved user experience by providing loading states and error handling in data fetching.
- Updated AI prompts to include metadata context, cluster roles, and product attributes for improved content generation.
- Enhanced GenerateContentFunction to incorporate taxonomy and keyword objects for richer context.
- Introduced new metadata fields in frontend components for better content organization and filtering.
- Added cluster match, taxonomy match, and relevance score to LinkResults for improved link management.
- Implemented metadata completeness scoring and recommended actions in AnalysisPreview for better content optimization.
- Updated API services to support new metadata structures and site progress tracking.
- Added Linker and Optimizer apps to `INSTALLED_APPS` in `settings.py`.
- Configured API endpoints for Linker and Optimizer in `urls.py`.
- Implemented `OptimizeContentFunction` for content optimization in the AI module.
- Created prompts for content optimization and site structure generation.
- Updated `OptimizerService` to utilize the new AI function for content optimization.
- Developed frontend components including dashboards and content lists for Linker and Optimizer.
- Integrated new routes and sidebar navigation for Linker and Optimizer in the frontend.
- Enhanced content management with source and sync status filters in the Writer module.
- Comprehensive test coverage added for new features and components.
- Implemented checks for active site in Home, Planner, and Writer dashboards to prevent data fetching when no site is selected.
- Updated API calls to include site_id in requests for better data accuracy.
- Modified user messages to guide users in selecting an active site for insights.
- Added site_id and sector_id query parameter support in ImagesViewSet for filtering content and task-linked images.
- Implemented event listeners in the Images component to refresh data on site and sector changes.
- Updated image prompt handling to allow undefined values.
