jevals

Name: jevals
Availability: InStock
Author: openlayer-ai

Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

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Last updated: September 23, 2026

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git clone https://github.com/openlayer-ai/jevals.git

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jevals

Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

Where Jev makes the decision

Jev returns a structured decision for the local program; consult the source for the exact decision policy.

Why it matters

Adds structured choices or scores to the workflow; performance and cost benefits have not been independently verified.

Claims & evidence

Based on repository metadata and README with rule-based classification; pending human review, with no independent runtime or performance verification.

About Jev

Jev is TypeSafe AI's System One decision model: it returns typed scores and choices (not free text), so agents can route, filter and gate at low latency and cost.

Source: openlayer-ai/jevals — 65 stars, MIT. Listed by Awesome Jev.

jevals

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jevals

Where Jev makes the decision

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