jevegis

Guardrails for LLM apps in one API call. Prompt injection, jailbreaks, leaks, unsafe content. Built on TypeSafe Jev. MIT.

How it uses Jev

Guardrails for LLM apps in one API call. Security (prompt injection, jailbreaks, credential/PII leaks, unauthorized actions, malicious code, indirect injection in retrieved documents) and Trust & Safety moderation, both powered by TypeSafe's Jev typed-judgment model: calibrated probabilities, no generated text, sub-second calls.

Source: community catalog. Details and metrics reflect the published community snapshot and are not a performance endorsement. Documentation details extracted from GitHub · the README · the project website.

Keep exploring

Similar to jevegis

Browse all
haogan project preview
Applications
好感度分析:把一段双人聊天读成情绪、意图和好感信号。贴进微信记录,标签标在气泡上。Jev 判断,MIT。
llm-to-jev project preview
Applications
Convert LLM prompts to Jev prompts
JevRev project preview
Applications
An LLM + Jev workflow. Boost your vertebrate brain with a spine inside.
pi-typesafe project preview
Agent tooling
Pi coding-agent extension built on the TypeSafe AI System One API (Jev)
claude-jev-plugin project preview
Agent tooling
TypeSafe Jev semantic guardrails for Claude Code
pi-jev-sentinel project preview
Agent tooling
Pi coding-agent extension: TypeSafe Jev checks for tool calls, tool outputs and replies (prompt injection, approvals, secret scrubbing, task pinning)
Jev as an LLM prompt guardrail inside the agentgateway proxy, with tracing and cost tracking.
jevals project preview
Benchmarks & research
Agent evals and guardrails in one request. Built on Jev, Kev and Laya.
jev-starter project preview
Benchmarks & research
Typed, policy-driven decision workflows on top of TypeSafe AI Jev: confidence routing, fallbacks, evaluation, and RAG patterns for TypeScript apps.