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jev-fastloop

SupremeDreamZ/jev-fastloop

Cheap fail-open semantic edge layer for Jev decisions.

Classification & Routing78%Runner-up: Infra / SDKs / IntegrationsMany questions, one request

What it is

A stdlib-only Python decision service for developers using Jev (TypeSafe System One). It wraps typed questions with a confidence policy, per-lane decision logging, a blind eval harness, and a skill router over large skill rosters.

How it uses Jev

Jev answers typed questions (noul, choice, score) on a given state. The service returns calibrated probabilities, applies a confidence policy to route each answer to action, escalate, or abstain, and logs every decision for later threshold tuning.

Primitives:choicescorenoul

Technique worth stealing

Fuse Jev as a second semantic signal with deterministic retrieval; decompose judgments into atomic questions and combine with code.

Try it

export OPENCODE_ZEN_API_KEY=... then run python3 eval_preflight.py ground_truth.json or skill_router.py.

View on GitHub

judged by Jevjev-1.13.0

Evidence

Each line is one question put to Jev about the README. ≥ 0.60 reads as yes, ≤ 0.40 as no; in between Jev is not making a call.

  • Jev-centricyes0.95
  • Shows a System One patternyes0.86
  • Handles uncertaintyno0.35
  • Measuredno0.21
  • Runnableyes0.90
  • Worth recommendingunclear0.54
  • Model replicano0.03
  • Problem scopescore on a 0–2 scale1.05
  • About Jevyes0.99

Signals by Jev jev-1.13.0, card written by DeepSeek V4.1 Flash from the README on 21 Sept 2026.