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SAGAR-TAMANG / sarvam-jev

OSS alternative — not TypeSafe Jev. This is a public GitHub System One–class / typed-decision replica. It is not Jev and not endorsed. Closed or no-repo competitors stay on Comparisons.

“Generation-free typed decisions on Indic LLMs. An open Jev-style inference engine on sarvam-1: constrained logit readout instead of autoregressive JSON. Runs client-side in the browser.”

OSS alternatives rank #19In Eval #19

TL;DR

SAGAR-TAMANG/sarvam-jev is an independent System One–class decision engine or interface clone. Useful to study. Not TypeSafe Jev, not RLCD, not a calibration transfer.

The author describes it as: “Generation-free typed decisions on Indic LLMs. An open Jev-style inference engine on sarvam-1: constrained logit readout instead of autoregressive JSON. Runs client-side in the browser.” That is their claim, not a bench this site ran.

Who it’s for

What’s inside

Top-level entries on GitHub at generation time: .github, .gitignore, CLAUDE.md, README.md, bench, browser, docs, fixtures, pyproject.toml, results, server, src, tests, uv.lock. Read those before you trust a one-line install.

How to use

  1. Clone and follow the author’s Python toolchain. Do not invent a package name.
git clone https://github.com/SAGAR-TAMANG/sarvam-jev.git
cd sarvam-jev
  1. If you compare to Jev, keep a processor label so replica rows never read as Jev scores.
  2. Send a complete state and typed questions. Code owns control flow after the probabilities.

This repository is not TypeSafe Jev. Hosted Jev, for comparison only, still looks like a function call:

{
  model: "jev-1.13.0",
  state: { source: "SAGAR-TAMANG/sarvam-jev", brief: "..." },
  questions: {
    gate: { type: "noul", instructions: "Should we act on this state?" },
    route: { type: "choice", instructions: "Pick one next system.", criteria: ["code", "review", "human"] },
  },
}

Try this

One typed action per frame

Using SAGAR-TAMANG/sarvam-jev, send Jev a text brief of the current screen and ask for Choice{click, type, wait, give_up}. Do not ask Jev for coordinates or screenshots — it is text-only.

Schema-safe ≠ correct

On a case SAGAR-TAMANG/sarvam-jev gets wrong, write down the schema-legal answer it returned and the human label. Do not “fix” it by asking Jev to generate an explanation.

FAQ

Can I treat these scores as Jev?

No. Label them as replica or local-engine results. Calibration does not transfer.

Does TypeSafe endorse it?

Their public docs index does not list it as Jev. We do not either.

Sources

Public repository metadata and TypeSafe documentation. No private claims.