- Added `aiknowledge_sync_utils.py` for provider-agnostic synchronization logic for CAIKnowledge entities, supporting both xAI and RAGFlow.
- Introduced lifecycle management for CAIKnowledge entities including states: new, active, paused, and deactivated.
- Implemented change detection using Blake3 hash for efficient document synchronization.
- Created `ragflow_service.py` to handle dataset and document management with RAGFlow API.
- Added daily cron job in `aiknowledge_daily_cron_step.py` to synchronize active CAIKnowledge entities with unclean or failed statuses.
- Developed `aiknowledge_sync_event_step.py` to process synchronization events from webhooks and cron jobs.
- Added `config.py` for centralized configuration management including Sync, API, Advoware, EspoCRM, Redis, Logging, Calendar Sync, and Feature Flags.
- Created `exceptions.py` with a hierarchy of custom exceptions for integration errors, API errors, sync errors, and Redis errors.
- Developed `logging_utils.py` for a unified logging wrapper supporting structured logging and performance tracking.
- Defined Pydantic models in `models.py` for data validation of Advoware and EspoCRM entities, including sync operation models.
- Introduced `redis_client.py` for a centralized Redis client factory with connection pooling, automatic reconnection, and health checks.
