Skip to content
Made with Jev

GitHub · by Openlayer

jevals

Agent evals and guardrails as one Jev request per trace.

Vishal Pandey on X

Vishal Pandey

@_vMyth

Runs agent evals and guardrails as 1 request to a Jev decision model, not an LLM judge. Cheap enough to score every trace. Change 2 defaults: the quick-start sends your traces to a hosted API, and a gate lets calls through if it's down. github.com/openlayer-ai/j…

Image from a post by @_vMyth

Oct 15, 2026 · 1 likesOpen on X

Openlayer’s library runs evals and guardrails for agents with a decision model in place of an LLM judge. All the checks for a trace go out as one request: tool choice, grounding, scope, relevance, completeness, indirect injection and PHI. In its quickstart, eight checks took one request of 1,388 tokens, cost $0.00006 and came back in 0.33 s. It works with Jev through TypeSafe, Vercel or OpenRouter, and locally with Kev or Laya.

Vishal Pandey flags two defaults to change: the quick-start sends your traces to a hosted API, and a gate lets calls through if it is down.

openlayer-ai/jevals on GitHub

Stars
105
Forks
11
Language
Python
Last push
Oct 15, 2026

Repository created Sep 20, 2026. Counts read from the GitHub API on Oct 15, 2026, and they move daily — quote them with the date.

Open the source

More like this