CalibratedDecisions.

Repo · Safety & guardrails

jevshield

Python runtime security gate for agent tool calls: TypeSafe Jev Choice/Noul/Score dual-factor evaluation with fail-closed parsing,…

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From the repository

Sub-100ms security gate for AI agent tool calls, powered by TypeSafe's Jev (System-1) decision model. Single-request Choice/Noul/Score evaluation, dual-factor blocking matrix, calibrated-confidence routing, fail-closed parsing, zero-config local fallback. LangChain-ready.

agent-securityai-agentsai-safetyguardrailsjevlangchainllm-securitymiddlewarepythonsecuritysystem-onetool-callingtypesafe

How builders describe it

Sub-100ms security gate for AI agent tool calls, powered by TypeSafe's Jev (System-1) decision model. Single-request Choice/Noul/Score evaluation, dual-factor blocking matrix, calibrated-confidence routing, fail-closed parsing, zero-config local fallback. LangChain-ready.
Python runtime security gate for agent tool calls: TypeSafe Jev Choice/Noul/Score dual-factor evaluation with fail-closed parsing, calibrated-confidence routing, and a zero-config local heuristic fallback when no API key is set. Distinct from Node jev-shield (MCP/Gateway firewall).
Framework-agnostic guard layer that puts Jev in front of an agent's tool calls: a Choice risk tier, a Noul destructiveness check and a Score blast radius decide allow, deny or ask.

The decision Jev makes

Allow, flag or escalate a message, tool call or action.

Where it fits

Screening messages, tool calls and outputs before they cause trouble. Jev gives a fast, calibrated verdict that can sit in front of every request or agent action. All 229 safety & guardrails projects →

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