All notable changes to the WhiteBoxAI Python SDK will be documented in this file.
The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.
- Initial SDK structure
- Core monitoring capabilities
- Framework integrations (sklearn, PyTorch, TensorFlow, Transformers, LangChain, XGBoost, LightGBM)
- Offline mode with persistent queue
- Privacy filters and PII detection
- Local caching with TTL support
- Decorator-based monitoring
- Async/sync interfaces
- Drift detection
- Comprehensive documentation
0.1.0 - 2026-01-05
- Initial release of WhiteBoxAI Python SDK
- Basic monitoring functionality
- Scikit-learn integration
- PyTorch integration
- TensorFlow/Keras integration
- Hugging Face Transformers integration
- LangChain integration
- XGBoost/LightGBM integration
- Offline mode support
- Privacy filters
- Caching support
- Example code
- Documentation
- PII detection and masking
- Secure API key handling