DEDUPED Hot AI repos, turned into use cases Get the Monday 5

How to run agent evals on your own Mac with no API calls with Jevals

Serve Kev or use Laya on Apple Silicon so evals run locally.

Who it is forA developer with a 32GB Mac or Apple Silicon machine who cannot send agent traces to a hosted API.

The problemSensitive traces may not be allowed to leave the machine, and hosted backends need keys and network access.

The outcomeEvals run against a local decision model, with traces kept on your machine.

What you need first

  • Python 3.10 or newer
  • An API key for one backend: AI_GATEWAY_API_KEY (Jev through Vercel AI Gateway), TYPESAFE_API_KEY, or OPENROUTER_API_KEY
  • A trace to evaluate: a messages list in the OpenAI chat format plus the tools you gave the model

Steps

  1. pip install jevals
  2. For Kev: python -m kev.serve --run jaredpalmer/kev-4b on a 32GB Mac, then point evaluate() at backend="kev://localhost:8009"
  3. For Laya: pip install "jevals[laya]" on Apple Silicon, then set JEVALS_BACKEND=laya
  4. Run evaluate() on a saved trace and check the result against a few traces you have already reviewed by hand

Prompt for your agent

Set up jevals to run locally on this Mac using Kev or Laya. Serve the decision model, run evaluate() with ToolChoice() and Grounded() on <trace_file>, and report the local latency. Verify that no request leaves the machine by checking the backend URL is localhost.

Caveat. The README says probabilities differ across decision models, so re-run Jevals calibrate after switching to Kev or Laya.

Share: X LinkedIn Hacker News Email Copy link

Disclaimer

Deduped lists open-source repositories that belong to other people. We do not own, maintain, audit, or vouch for any of them, and a repo appearing here is not an endorsement or a safety check. The use cases, steps, and prompts are written by AI and may be incomplete, outdated, or just wrong. Where a use case is marked "Seen in the wild", we link to public posts where someone described something similar, but we have not verified those posts and the use case itself is still our AI's own write-up. Use all of this at your own risk. Only run code, commands, or agents on systems and accounts you are authorized to use, and read the code and every command before you run it, especially anything that touches credentials, files, or the network. Nothing here is professional, security, legal, or financial advice. All trademarks and project names belong to their respective owners, and their use here does not imply affiliation. Content is provided as is, without warranties of any kind. Found a mistake, a safety problem, or something you want removed? Email [email protected] and we will look at it promptly. Full disclaimer page