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
- Updated AutomationService to include estimated_word_count.
- Increased stage_1_batch_size from 20 to 50 in AutomationViewSet.
- Changed Keywords model to replace 'intent' property with 'country'.
- Adjusted ClusteringService to allow a maximum of 50 keywords for clustering.
- Modified admin and management commands to remove 'intent' and use 'country' instead.
- Updated serializers to reflect the change from 'intent' to 'country'.
- Adjusted views and filters to use 'country' instead of 'intent'.
- Updated frontend forms, filters, and pages to replace 'intent' with 'country'.
- Added migration to remove 'intent' field and add 'country' field to SeedKeyword model.
- 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 entity metadata fields to the Tasks model, including entity_type, taxonomy, and cluster_role.
- Updated CandidateEngine to prioritize content relevance based on cluster mappings.
- Introduced metadata completeness scoring in ContentAnalyzer.
- Enhanced validation services to check for entity type and mapping completeness.
- Updated frontend components to display and validate new metadata fields.
- Implemented API endpoints for content validation and metadata persistence.
- Migrated existing data to populate new metadata fields for Tasks and Content.
- 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.
