Jevals is listed as Open Source. Check https://github.com/openlayer-ai/jevals for the current plan limits, as vendors change pricing frequently.

Jevals

Q: What is Jevals?

Jevals is a code AI tool listed on Use AI Tools. Jevals runs agent evals and guardrails as Jev decisions: one request per trace, at a fraction of a cent, fast enough to sit inside the agent loop. It runs locally with Kev or Laya, so evaluation does not require shipping traces to a hosted judge.

Q: What is Jevals best for?

Jevals is commonly used for Teams that need guardrails inside the loop, not after it, Engineers replacing LLM-as-a-judge with typed decisions, Local-first stacks that cannot send traces out. It supports English.

Code🔥 Intermediate✅ Global access

Teams that need guardrails inside the loop, not after itEngineers replacing LLM-as-a-judge with typed decisionsLocal-first stacks that cannot send traces out

Open SourceEnglish

Jevals runs agent evals and guardrails as Jev decisions: one request per trace, at a fraction of a cent, fast enough to sit inside the agent loop. It runs locally with Kev or Laya, so evaluation does not require shipping traces to a hosted judge.

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🎯 Real-World Use Cases

Per-trace evaluation

Score every trace with one cheap request instead of sampling a small share of runs.

Inline guardrails

Block or reroute an agent step when the decision model flags it, while the loop is still running.

Local judging

Run evaluation on your own machine with Kev or Laya and keep trace data in house.

⚖️ Honest Review

✅ Pros

+Cheap enough to evaluate every trace
+Typed decisions instead of a verbose judge prompt
+Runs locally

⚠️ Cons

−Depends on the Jev model family
−Newer than established eval frameworks

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Guides and comparisons about code tools

Developer reviewing verification output from an automated agent run

CodeOct 20, 2026