znyx-runtime
A lightweight, dependency-minimal FastAPI service that evaluates LLM traffic against guardrail policies. Rules-only out of the box; it gains ML detection when pointed at a Znyx inference sidecar over HTTP.
pip install znyx-runtime
znyx-runtime serve --port 8080
Or with Docker:
docker run -p 8080:8080 znyx/runtime
The runtime is deliberately thin: FastAPI, uvicorn, httpx, and
znyx-core (the detection engine).
No database, no heavy ML libraries. Point it at a sidecar endpoint to enable
model-backed detectors; without one, it runs the deterministic rules path.
A model-backed detector is held at advisory WARN until it has been measured
against a labelled dataset. The second subcommand is how you do that, with no
control plane involved:
znyx-runtime benchmark --bundle policies.yaml --detector toxicity \
--dataset labelled.jsonl --stamp
See the repository README for configuration, deployment manifests, the evaluate API, and the dataset format and gate thresholds that command uses.
License
Apache-2.0
1 maintainer
Metadata
1 maintainer
Release files for znyx-runtime 1.2.1
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