- Introduced a new scheduled task for executing automation rules every 5 minutes in the Celery beat schedule.
- Updated URL routing to include a new endpoint for automation-related functionalities.
- Refactored imports in various modules to align with the new business layer structure, ensuring backward compatibility for billing models, exceptions, and services.
- CreditService.check_credits() now bypasses for:
1. System accounts (aws-admin, default-account, default)
2. Developer/admin users (if user provided)
3. Accounts with developer users (fallback for Celery tasks)
- Updated check_credits_legacy() with same bypass logic
- AIEngine credit check now uses updated CreditService
- Fixes 52 console errors caused by credit checks blocking developers
- Developers can now use AI functions without credit restrictions
- Updated CREDIT_COSTS to match Phase 0 spec (flat structure)
- Added get_credit_cost() method to CreditService
- Updated check_credits() to accept operation_type and amount
- Added deduct_credits_for_operation() convenience method
- Updated AI Engine to check credits BEFORE AI call
- Updated AI Engine to deduct credits AFTER successful execution
- Added helper methods for operation type mapping and amount calculation
- Added error type handling in AIEngine for better error categorization during model configuration and execution.
- Updated _handle_error method to accept and log error types.
- Improved ResourceDebugOverlay to silently ignore 404 responses from the metrics endpoint, preventing unnecessary logging and retries.
- Refactored authStore to utilize fetchAPI for automatic token handling and improved error logging without throwing exceptions.
- Added user-friendly messages for input description, preparation, AI call, parsing, and saving phases in AIEngine.
- Updated ProgressModal to display success messages and checklist-style progress steps based on function type.
- Improved handling of step logs and current phase determination for better user experience during asynchronous tasks.
- Added support for new V2 functions: `auto_cluster_v2` and `generate_ideas_v2`, including backend logic and API endpoints.
- Updated model configuration to ensure V2 functions validate the presence of models before execution.
- Enhanced progress modal to provide better feedback during asynchronous tasks, including task IDs for debugging.
- Updated frontend components to integrate new V2 functionalities and improve user experience with clustering and idea generation.
- Updated AIEngine to normalize function names by replacing underscores with hyphens in generated function IDs for better consistency with frontend tracking.
- Enhanced registry to resolve function name aliases, allowing for backward compatibility with legacy function names when retrieving function instances.
- Added primary_keyword, secondary_keywords, tags, and categories fields to Tasks model
- Updated generate_content function to handle full JSON response with all SEO fields
- Improved progress bar animation: smooth 1% increments every 300ms
- Enhanced step detection for content generation vs clustering vs ideas
- Fixed progress modal to show correct messages for each function type
- Added comprehensive logging to Keywords and Tasks pages for AI functions
- Fixed error handling to show meaningful error messages instead of generic failures
