- Added tests for AI service to ensure it operates independently of knowledge configuration, including scenarios with missing or corrupt embedding models.
- Updated existing tests to prepare embedding models before execution to ensure consistent test environments.
- Introduced new utility functions for managing embedding models in test setups.
- Improved error handling in knowledge retrieval tests to verify behavior when embedding models are unavailable.
- Refactored test harness to streamline embedding model preparation and ensure proper initialization before running tests.
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