- Introduced a comprehensive deployment guide for AdvisoryAI, detailing local builds, remote inference toggles, and scaling guidance.
- Created a multi-role Dockerfile for building WebService and Worker images.
- Added a docker-compose file for local and offline deployment.
- Implemented a Helm chart for Kubernetes deployment with persistence and remote inference options.
- Established a new API endpoint `/advisories/summary` for deterministic summaries of observations and linksets.
- Introduced a JSON schema for risk profiles and a validator to ensure compliance with the schema.
- Added unit tests for the risk profile validator to ensure functionality and error handling.
