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Local-Jev

ronitgupta138/Local-Jev

Offline Rust drop-in for TypeSafe Jev System One decisions.

Infra / SDKs / Integrations0.46Runner-up: Agent Decisions
Automated README summary

Automatically summarized from the README on 17 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A self-contained Rust binary exposing a TypeSafe-compatible REST API for agent decision models (Choice, Score, Noul, Route), aimed at developers running autonomous agents who want offline, zero-cost, low-latency decisions.

How it uses Jev

Jev-style decisions are served over HTTP: POST /v1/systemone/choice takes a state, question and options, extracts logits in a single forward pass, and returns a constrained softmax choice with confidence and per-option probabilities. Also exposes noul, route, batch, and a speculative tool-call proxy.

Primitives:choicescorenoul

Technique worth stealing

Single-forward-pass logit extraction with vocabulary masked to candidate options, then temperature-scaled softmax for calibrated choice probabilities.

Try it

cargo install local-jev, then run `local-jev serve --port 8080` and POST to /v1/systemone/choice.

View on GitHub

Start using Jev: API key and your first request →

Model judgments from README excerpts

Project signals use repository metadata, an existing summary and the first 700 README characters, not the full project. “Not found” means not detected in that material; it does not establish absence. These are the original judgments with recorded models and dates, not source audits or run results.

Models & evaluation dates

Inclusion gate
jev-1.13.0
Project signals
jev-1.13.0
Category
jev-1.13.0
Pattern tags
jev-1.13.0

Evidence

These signals use repository metadata, an existing summary and at most 700 cleaned README characters. ≥ 0.60 means reported in that excerpt; ≤ 0.40 means not found there. The middle band is inconclusive. None is a source-code audit or a test result. The runnable-tool question excludes research experiments; the recommendation question asks for a learning shortlist, not a quality verdict.

  • Jev is core to the projectFound in material0.86
  • Shows a System One patternnot found in the excerpt0.22
  • Describes handling uncertaintynot found in the excerpt0.05
  • Reports measured numbersFound in material0.87
  • Is a runnable toolFound in material0.89
  • Top-10 learning shortlist signalnot found in the excerpt0.12
  • Is a replica of the modelFound in material0.88
  • Solves a common problem (0–2)score on a 0–2 scale1.03 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.86Shows a System One pattern0.22Describes handling uncertainty0.05Reports measured numbers0.87Is a runnable tool0.89Top-10 learning shortlist signal0.12Is a replica of the model0.8800.51Solves a common problem (0–2)1.03 / 2012

no-judgment band (0.40–0.60)

Design patterns
Questionnaire0.46Menu0.41Ghostwriter0.37Traffic light0.3100.51

no-judgment band (0.40–0.60)

The Jev model and date for each judgment stage are listed above. Card written by DeepSeek V4.1 Flash from the README on 17 Oct 2026.