- Backfills model_config FK from model_name in CreditUsageLog
- Calculates cost_usd_input/output/total from tokens and model pricing
- Processes in configurable batches (default 500)
- Includes dry-run mode for safety
- Successfully backfilled 250 historical logs
- Enables full token analytics on historical data
- Reverted to commit #10 (98e68f6) for stable AI function base
- Fixed database migrations: removed 0018-0019 that broke schema
- Fixed CreditCostConfig schema: restored credits_cost, unit fields
- Fixed historical table schema for django-simple-history
- Added debug system (staged for future use)
Changes:
- CreditCostConfig: Updated OPERATION_TYPE_CHOICES (10 ops, no duplicates)
- CreditUsageLog: Updated choices with legacy aliases marked
- Migration 0018_update_operation_choices: Applied successfully
- All AI operations working (clustering, ideas, content, optimization, etc.)
Test Results:
✓ CreditCostConfig save/load working
✓ Credit check passing for all operations
✓ AICore initialization successful
✓ AIEngine operation mapping functional
✓ Admin panel accessible without 500 errors
Future: AI-MODEL-COST-REFACTOR-PLAN.md created for token-based system
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
