护栏与安全

AgentScope 围绕模型推理与工具调用构建智能体，提供上下文管理、事件流、记忆和权限控制。 JevClassifierModel 通过 TypeSafe SDK 将 Jev 分类器接入这一通用智能体框架。

原生 CLI 支持交互式终端、脚本请求与嵌入，并提供技能、MCP 服务器和子智能体扩展。 Jev 接收审核策略、上下文和待执行动作，为权限流程返回 clear 或 caution 判断。

awesome-jev-by-typesafe 是独立社区资源，汇集有来源的 Jev 用例、提示词、模式和入门代码。 它讲解用 Choice、Score 和 Noul 分类、路由与验证，并将控制流程保留在代码中。 可查看 Python、TypeScript 示例；离线策略测试无需密钥，在线示例需要 TYPESAFE_API_KEY。

Jev Review 扫描 Git 差异或完整代码库，检查正确性、安全性、可靠性、兼容性和测试覆盖。 Jev 选择证据、判断问题机制并评估严重程度，满足条件时通过 Choice 选择审查者；代码负责阈值与流程策略。 使用 Node.js 24+、Git 和 TypeSafe 密钥，生成 JSON 报告或在本地查看已保存审查。

Real-time Discord moderation bot: Jev evaluates messages and metadata in parallel to catch phishing, spam, and social engineering with a progressive escalation ladder.

Auto mode for every coding agent, built on Jev: risk-scores every tool call with session context (deny / ask / allow), flags prompt injection in results, checks skills and plugins. Claude Code, Codex, Copilot, Gemini, Cursor, pi, OpenCode, ACP.

Typed-judgment admission control at the traffic edge: three-layer prompt-injection and abuse filter for nginx/OpenResty, powered by TypeSafe Jev. Fail-open, cached, hot-reloadable.

Self-evolving cognitive decision engine & TypeSafe Jev alternative. Deliberative decision flywheel ('explore first, crystallize later' System 2→1) with 100% option-order invariance. Typed probabilistic API (Choice, Noul, Score) for Open LLMs, Laya (ModernBERT), & commercial Jev with calibrated logprobs and adaptive safety guards.

A Clash Royale bot with no trained policy: Jev (TypeSafe System One) makes every decision from the live game state

Typed judgment tools for MCP agents. TypeSafe's Jev model as verify, screen, find, classify, rerank, decide, compare, extract, review, gate, and score: the model judges, policy decides auto, review, or escalate.

位于 nginx 与大模型后端之间的前置过滤反向代理：逐请求提取用户输入交给 JEV 判定，有害拦截、正常透明放行

A minimal permission gate for Pi in the style of Claude Code's auto mode

A curated, evidence-led directory of DeepSeek Harness (DSH) plugins: verified loadable extensions, skills, and permission-aware installation guidance.

Compile agent policy prose into deterministic verdict programs: narrow evidence questions for the model, the verdict computed in code. Install: npm i -g jev-compiler

Input moderation for Mastra agents on TypeSafe Jev — one file

Decision maker for Ruby: turn decision model answers into policy verdicts

Fast System-1 Decision, Arbitration & Safety Engine for Autonomous AI Agents (Powered by TypeSafe Jev)

基于 Jev 的聊天决策辅助：读当前聊天窗口，只返回类型化判定与置信度，不生成回复。QQ / 飞书 / 抖音实测可用。· An on-device chat co-pilot built on Jev — typed verdicts instead of prose, no package allowlist.

An automated Discord moderation bot, powered by Jev.

Experimental Jev permission gate for Claude Code via OpenRouter, with reproducible latency and cost benchmarks

Effect-based safety gate for AI coding agents' shell commands (OpenCode, Antigravity): fast structural rules, then TypeSafe's Jev or a chat model judges what a command does. Certified with Jev at zero dangerous commands allowed.

Shift every LLM call to the cheapest model that can handle it. Routing decided by TypeSafe Jev in ~180 ms. No training data. Policy in plain YAML. TypeScript and Python.

Blind security benchmarks for Jev, TypeSafe's System One model: prompt injection and vulnerable code detection, built on jev-go

A governed execution layer between typed-decision models (TypeSafe Jev) and agent/AI tooling like Claude Code, MCP, and AI SDKs, turning probabilistic decisions into deterministic, policy-controlled, and auditable actions.