護欄與安全

AgentScope 以模型推理和工具使用為核心，提供上下文管理、事件串流、記憶及權限控制。 JevClassifierModel 透過 TypeSafe SDK，將 Jev 分類器整合進這個通用代理框架。

原生 CLI 支援互動式終端、腳本請求與嵌入，並可擴充技能、MCP 伺服器和子代理。 Jev 接收審查政策、上下文及待執行動作，為權限流程傳回 clear 或 caution 判斷。

awesome-jev-by-typesafe 是獨立社群資源，彙整有來源的 Jev 用例、提示詞、模式與入門程式碼。 它介紹用 Choice、Score 與 Noul 分類、路由及驗證，並將控制流程留在程式碼中。 可參考 Python、TypeScript 範例；離線策略測試不需金鑰，線上範例需要 TYPESAFE_API_KEY。

Jev Review 掃描 Git 差異或完整程式碼庫，檢查正確性、安全性、可靠性、相容性與測試涵蓋。 Jev 選擇證據、判斷問題機制並評估嚴重程度，符合條件時透過 Choice 選擇審查者；程式碼負責門檻與流程策略。 使用 Node.js 24+、Git 與 TypeSafe 金鑰，產生 JSON 報告或在本地查看已儲存審查。

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.