jevbooks

← All projects

local-decider

pusucip25/local-decider

Pre-action gate for tool-using agents with deterministic rules and a neural decider.

Agent Decisions0.53Runner-up: Verification & GuardrailsFunnelCheck-up
Automated README summary

Automatically summarized from the README on 9 Oct 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A pre-action gate for tool-using agents that decides allow/confirm/block using deterministic rules followed by a neural decider. Includes a browser agent loop whose decision model can swap between hosted Jev and a local model via configuration.

How it uses Jev

Jev is used as the neural decider in the gate's chain, after deterministic rules. It receives a state and typed questions (Choice/Score/Noul) and returns calibrated probabilities. In the browser loop, Jev picks the next action. The result is used to allow or confirm actions, never to block.

Primitives:choicescorenoul

Technique worth stealing

Deterministic rules run before the neural decider, which may only escalate to confirm, never to block.

Try it

Run gate: cd gate && GB_MODE=local GB_MODEL=winnow:e4b python gate_ext_run.py

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 projectnot found in the excerpt0.23
  • Shows a System One patternFound in material0.73
  • Describes handling uncertaintynot found in the excerpt0.19
  • Reports measured numbersFound in material0.90
  • Is a runnable toolFound in material0.67
  • Top-10 learning shortlist signalnot found in the excerpt0.39
  • Is a replica of the modelFound in material0.79
  • Solves a common problem (0–2)score on a 0–2 scale1.57 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.23Shows a System One pattern0.73Describes handling uncertainty0.19Reports measured numbers0.90Is a runnable tool0.67Top-10 learning shortlist signal0.39Is a replica of the model0.7900.51Solves a common problem (0–2)1.57 / 2012

no-judgment band (0.40–0.60)

Design patterns
Funnel0.97Check-up0.76Questionnaire0.46Inspection0.42Menu0.33Flight recorder0.29Blind review0.25Traffic light0.2200.51

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 9 Oct 2026.