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jev-agent-guardrail

bhanuprakashk90-tech/jev-agent-guardrail

Real-time safety guardrail for AI agent tool calls using Jev.

Verification & Guardrails1.00Runner-up: Classification & Routing
Automated README summary

Automatically summarized from the README on 29 Sept 2026; not a run by jevbooks. Run instructions and author-reported outcomes still need verification.

What it is

A Python safety guardrail and interactive Streamlit dashboard that validates AI agent tool calls before execution, for developers building safer AI agents.

How it uses Jev

Jev receives agent state plus proposed tool details and returns a structured decision: Choice (Approved/Rejected/Suggested Alternative), Score (confidence 0-1), or Noul (uncertainty). The guardrail allows execution if approved with high confidence, blocks if rejected or low confidence, suggests alternatives, or requests clarification.

Primitives:choicescorenoul

Technique worth stealing

Intercept tool calls and route them through Jev for typed, calibrated decisions before execution.

Try it

pip install -r requirements.txt; export JEV_API_KEY; python demo.py or streamlit run streamlit_app.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 projectFound in material0.95
  • Shows a System One patternunclear0.47
  • Describes handling uncertaintynot found in the excerpt0.08
  • Reports measured numbersnot found in the excerpt0.04
  • Is a runnable toolFound in material0.75
  • Top-10 learning shortlist signalunclear0.42
  • Is a replica of the modelnot found in the excerpt0.04
  • Solves a common problem (0–2)score on a 0–2 scale1.82 / 2
  • About JevFound in material0.98
Signals
Jev is core to the project0.95Shows a System One pattern0.47Describes handling uncertainty0.08Reports measured numbers0.04Is a runnable tool0.75Top-10 learning shortlist signal0.42Is a replica of the model0.0400.51Solves a common problem (0–2)1.82 / 2012

no-judgment band (0.40–0.60)

Design patterns
Traffic light0.58Grey zone0.49Ghostwriter0.2200.51

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 29 Sept 2026.