Show HN: ÆTHERYA Core – deterministic policy engine for governing LLM actions (github.com)

ÆTHERYA has announced the release of ÆTHERYA Core, a deterministic policy engine designed to govern large language model (LLM) actions under strict constitutional constraints and procedural safeguards. This innovative tool explicitly evaluates actions by integrating principles, signals, aggregation logic, execution mapping, and audit trails, moving beyond conventional systems that operate on implicit evaluations. Highlights include supports for deterministic decision-making, configurable risk thresholds, and snapshot testing, which allow it to render explainable outcomes while ensuring reproducibility and auditability. This development is significant for the AI/ML community as it addresses burgeoning concerns related to the safety and accountability of LLMs in high-stakes environments. With its structured approach to decision-making, ÆTHERYA Core supports generating detailed audit trails that improve transparency and compliance with ethical standards. Key features include a fail-closed guarantee that prevents unauthorized actions and a deterministic runtime order that incorporates rigorous validation and explainability. By equipping developers with these capabilities, ÆTHERYA Core aims to enhance trust in AI systems and mitigate risks associated with their deployment.