openlayer-ai / 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.
Why this job: says: evals; topics: evals, llm-evaluation
What it does
Evals and guardrails for agents, using Jev-style decision models instead of an LLM judge. All the evals for a trace go out as one request that costs a few thousandths of a cent and comes back in a few hundred milliseconds, so you can run them on every trace and inside the agent loop.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 days ago
- Stars
- 117
- +6 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- None yet
- No releases
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- 9
- Last 90 days
- Issues
- 25% closed
- 3 still open
- Pull requests
- 12 merged
- 1 waiting
- Releases
- None
- Never published
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 100%
Topics
- agents
- evals
- guardrails
- jev
- llm
- llm-evaluation
- ragas
- typesafe
Project record
- JobEvals and observability
- StatusListed
- Commits27
- Forks13
- Watching0
- Stars in 28 days+13
- CreatedSep 20, 2026
- First seen by usNov 7, 2026
- CheckedNov 9, 2026