ガードレールと安全性

モデルの推論とツール利用を軸に、コンテキスト管理、イベント配信、メモリ、権限制御を組み合わせてエージェントを構築します。 JevClassifierModel は TypeSafe SDK を通じて Jev 分類器を統合するアダプターです。

ネイティブ CLI は対話シェル、スクリプト要求、組み込み利用に対応し、スキル、MCP、サブエージェントを備えます。 Jev は審査ポリシー、文脈、対象操作を受け取り、権限処理へ clear または caution を返します。

awesome-jev-by-typesafe は、出典付きの Jev 活用例、プロンプト、設計パターン、入門コードを集める独立コミュニティ資料です。 Choice、Score、Noul による分類・振り分け・検証を解説し、制御フローはコードに任せます。 Python と TypeScript の例を参照できます。オフラインのポリシーテストはキー不要で、実 API の例には TYPESAFE_API_KEY が必要です。

Jev Review は Git 差分やコード全体から正しさ、安全性、信頼性、互換性、テスト不足を調べます。 Jev が根拠を選び、問題の種類と重大度を評価し、条件に応じて Choice でレビュー担当を選びます。しきい値と処理方針はコードが適用します。 Node.js 24 以降、Git、TypeSafe キーで JSON レポートを作成し、保存したレビューをローカルで確認できます。

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.