CalibratedDecisions.

Repo · Safety & guardrails

gg-friggin-ez

Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev.

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From the repository

Fast, drop-in multilingual profanity and toxicity screener for Node.js, powered by System 1 models like TypeSafe AI Jev and Laya. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.

aibad-wordscontent-moderationgame-chathindihinglishindicjapanesejevkannadalayalive-chatmoderationobfuscationprofanity-filtertamiltelugutoxicity-detectiontransliterationtypesafe-ai

How builders describe it

Fast, drop-in profanity and toxicity screener for Node.js, powered by TypeSafe AI Jev. Catches leetspeak, character spacing, and romanized profanity across languages including Kannada, Telugu, Tamil, Hindi, and Bengali. ~50-500ms latency.
Node.js profanity and toxicity screener that sends text to a System 1 classifier with Jev as the default model and returns booleans plus severity, language, obfuscation types, action, latency, and cost.

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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