znyx-runtime is an open-source FastAPI-based runtime for evaluating large language model (LLM) traffic against defined safety and policy guardrails. It provides rules-based enforcement out of the box and can integrate with a Znyx inference sidecar for machine learning-based evaluation. Designed for AI developers and platform engineers to ensure safe and compliant LLM deployments.
znyx-runtime is an AI & ML product. It focuses on ensuring LLM outputs comply with safety and policy guardrails in AI applications. znyx-runtime is an open-source project aimed at AI developers and platform engineers. The project is open source (Apache-2.0). It runs on the command line and API, and it can be self-hosted.
It is developed by zitrino-oss, and the product first shipped in 2026. The project is developed in the open on GitHub with 22 commits in the last 90 days. Among its 5 catalogued features are policy evaluation, LLM traffic analysis, and fastAPI service.
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