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6428 lines (6428 loc) · 321 KB
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{
"schemaVersion": 3,
"capturedAt": "2026-09-28",
"source": {
"name": "BeatAPI Awesome JEV curation",
"batch": "2026-09-28-madewithjev-star50-fixed-source-review",
"policy": "Project-level deduplication. Public JEV-related GitHub repositories at or above 50 stars are included only after fixed-commit source review. This batch screened all 318 GitHub builds on madewithjev.com, verified current GitHub stars, and inspected source files; entries without shipped JEV-related evidence were excluded. Runtime behavior is not independently verified."
},
"projects": [
{
"id": "langchain-jev",
"name": "LangChain · TypeSafe",
"owner": "langchain-ai",
"category": "sdk-integrations",
"repoUrl": "https://github.com/langchain-ai/langchain",
"evidenceUrl": "https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py",
"language": "Python",
"license": "MIT",
"starsAtCapture": 146901,
"summary": {
"en": "An optional JEV classifier integration for Python LangChain workflows.",
"zh": "面向 Python LangChain 工作流的可选 JEV 分类器集成。",
"ja": "Python LangChain ワークフロー用のオプションの JEV 分類子統合。"
},
"decision": {
"en": "Submits binary, categorical, and ordered-score questions and returns typed answers with probabilities.",
"zh": "提交二元、分类和有序评分问题,并返回带概率的类型化答案。",
"ja": "バイナリ、カテゴリ、および順序付きスコアの質問を送信し、確率とともに型付きの回答を返します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/langchain-ai/langchain/blob/eba445b7563d1709427bd8072892975a6ea59fdc/libs/partners/typesafe/langchain_typesafe/classifier.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "ai-hedge-fund-jev",
"name": "AI Hedge Fund · JEV Adapter",
"owner": "virattt",
"category": "domain-tools",
"repoUrl": "https://github.com/virattt/ai-hedge-fund",
"evidenceUrl": "https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py",
"language": "Python",
"license": "MIT",
"starsAtCapture": 63672,
"summary": {
"en": "An educational hedge-fund prototype with an optional JEV adapter for structured strategy judgments.",
"zh": "在教育型 AI 对冲基金原型中加入可选 JEV 适配器,用于结构化策略判断。",
"ja": "構造化された戦略判断のためのオプションの JEV アダプターを備えた教育用ヘッジファンド プロトタイプ。"
},
"decision": {
"en": "Converts strategy questions into System One requests and normalizes typed answers for the fund workflow.",
"zh": "把策略问题转换为 System One 请求,并将类型化答案归一化给基金工作流。",
"ja": "戦略に関する質問を System One リクエストへ変換し、ファンド運用フローで使える型付き回答に整えます。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/virattt/ai-hedge-fund/blob/154a8b2f46dca0f40764d814e4e747b0ad71f4c4/hedge_fund/llm/client.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "litellm-jev-router",
"name": "LiteLLM · JEV Router",
"owner": "BerriAI",
"category": "routing-optimization",
"repoUrl": "https://github.com/BerriAI/litellm",
"evidenceUrl": "https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70",
"language": "Python",
"license": "MIT",
"starsAtCapture": 59429,
"summary": {
"en": "LiteLLM can use JEV inside its complexity-based model router.",
"zh": "LiteLLM 可在按复杂度路由模型的策略中使用 JEV。",
"ja": "LiteLLM は、複雑さベースのモデル ルーター内で JEV を使用できます。"
},
"decision": {
"en": "Maps a request to a configured complexity class that drives backend model routing.",
"zh": "把请求映射到配置好的复杂度类别,再据此路由后端模型。",
"ja": "バックエンド モデルのルーティングを駆動する構成された複雑さのクラスにリクエストをマップします。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/BerriAI/litellm/blob/56116079c8022da0e8f7ff9ccb017ad5aca5aed2/litellm/router_strategy/complexity_router/jev_classifier.py#L70"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "sub2api-jev-moderation",
"name": "Sub2API · JEV Moderation",
"owner": "Wei-Shaw",
"category": "safety-review",
"starsAtCapture": 42435,
"language": "Go",
"license": "LGPL-3.0",
"summary": {
"en": "A subscription-to-API gateway with a native TypeSafe client for content moderation.",
"zh": "在订阅转 API 网关中内置 TypeSafe 客户端,用于内容审核。",
"ja": "サブスクリプションを API 化するゲートウェイに、コンテンツ審査用 TypeSafe クライアントを内蔵。"
},
"decision": {
"en": "Batches Noul questions, validates every probability, and returns moderation scores to local risk-control policy.",
"zh": "批量提交 Noul 问题,校验每个概率,再把审核分数交给本地风控策略。",
"ja": "Noul 質問をまとめて送信し、各確率を検証してからローカルのリスク制御へ審査スコアを返します。"
},
"repoUrl": "https://github.com/Wei-Shaw/sub2api",
"evidenceUrl": "https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/Wei-Shaw/sub2api/blob/1c0a69c0ceddb2fd21581c17ab09f6c500b89ba1/backend/internal/pkg/typesafe/client.go"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "openviking-jev-rerank",
"name": "OpenViking · JEV Rerank",
"owner": "volcengine",
"category": "search-data",
"starsAtCapture": 38481,
"language": "Python",
"license": "AGPL-3.0",
"summary": {
"en": "OpenViking can use JEV as a calibrated reranker for agent memory and context retrieval.",
"zh": "OpenViking 可用 JEV 对 Agent 记忆与上下文检索结果做校准重排。",
"ja": "OpenViking は JEV を使い、Agent の記憶・コンテキスト検索結果を較正して再順位付けできます。"
},
"decision": {
"en": "Asks one Noul relevance question per document and falls back to vector scores when evaluation fails.",
"zh": "为每篇文档提出一个 Noul 相关性问题,判断失败时回退到向量分数。",
"ja": "文書ごとに Noul の関連性質問を行い、評価に失敗した場合はベクトルスコアへフォールバックします。"
},
"repoUrl": "https://github.com/volcengine/OpenViking",
"evidenceUrl": "https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/volcengine/OpenViking/blob/b8bed5a1ad3a1c524b5e1fd0fa591df51ca9b7cc/openviking/models/rerank/jev_rerank.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "oh-my-pi-jev",
"name": "Oh My Pi · JEV Judgments",
"owner": "can1357",
"category": "routing-optimization",
"repoUrl": "https://github.com/can1357/oh-my-pi",
"evidenceUrl": "https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 32810,
"summary": {
"en": "A coding agent with an optional TypeSafe judgment provider for bounded workflow decisions.",
"zh": "在编码 Agent 中提供可选 TypeSafe 判断器,处理有边界的工作流决策。",
"ja": "境界の明確なワークフロー判断に、任意の TypeSafe 意思決定プロバイダーを使えるコーディング Agent。"
},
"decision": {
"en": "Sends agent state and typed questions to JEV and parses structured answers.",
"zh": "把 Agent 状态与类型化问题发给 JEV,并解析结构化答案。",
"ja": "エージェントの状態と型付きの質問を JEV に送信し、構造化された回答を解析します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/can1357/oh-my-pi/blob/78b753124d11f8dd3ae73e2524125890ff7c977e/packages/ai/src/judgment/typesafe.ts#L4"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "jev-model-router",
"name": "Jev Model Router",
"owner": "davila7",
"category": "agent-workflows",
"repoUrl": "https://github.com/davila7/claude-code-templates",
"evidenceUrl": "https://github.com/davila7/claude-code-templates/blob/61bfcd1586bf1076f6d3cfa0436317c912811e6c/cli-tool/components/mods/productivity/jev-model-router/hooks/jev-model-router.ts",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 31179,
"summary": {
"en": "A Claude Code mod that classifies subagent model and reasoning-effort needs.",
"zh": "为 Claude Code 判断子 Agent 模型与推理强度的 Mod。",
"ja": "サブエージェント モデルと推論強度の必要性を分類する Claude Code mod。"
},
"decision": {
"en": "Jev classifies the task; local policy maps the result to model and effort settings.",
"zh": "JEV 判断任务类别,本地策略再映射到模型与 effort 配置。",
"ja": "JEV がタスクを分類し、ローカルポリシーが結果をモデルと推論強度の設定へ割り当てます。"
},
"verification": "source-reviewed",
"runtimeVerified": false,
"source": {
"type": "x",
"label": "Original X case",
"url": "https://x.com/dani_avila7/status/2101176629745561686",
"author": "@dani_avila7",
"views": 139450
}
},
{
"id": "composio-typesafe",
"name": "Composio · TypeSafe Provider",
"owner": "ComposioHQ",
"category": "sdk-integrations",
"repoUrl": "https://github.com/ComposioHQ/composio",
"evidenceUrl": "https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 30289,
"summary": {
"en": "A TypeSafe provider that uses JEV to choose among tools and bounded argument options.",
"zh": "用 JEV 在工具与有限参数选项之间做选择的 TypeSafe Provider。",
"ja": "JEV を使ってツールと許可済みの引数候補を選ぶ TypeSafe プロバイダー。"
},
"decision": {
"en": "Turns tool conditions into structured questions and passes answers to local invocation logic.",
"zh": "把工具条件转换为结构化问题,再把答案交给本地调用逻辑。",
"ja": "ツールの条件を構造化された質問に変換し、回答をローカル呼び出しロジックに渡します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/ComposioHQ/composio/blob/4b5920bf7aa55c8a44657b060d4bd25ce7b13a9a/ts/packages/providers/typesafe/src/decide.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "vercel-ai-typesafe",
"name": "Vercel AI SDK · TypeSafe",
"owner": "vercel",
"category": "sdk-integrations",
"repoUrl": "https://github.com/vercel/ai",
"evidenceUrl": "https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts",
"language": "TypeScript",
"license": "Mixed",
"starsAtCapture": 26900,
"summary": {
"en": "The AI SDK TypeSafe provider exposes JEV through the shared evaluate interface.",
"zh": "AI SDK 的 TypeSafe Provider 通过统一 evaluate 接口调用 JEV。",
"ja": "共通の評価インターフェイスから JEV を利用できる、AI SDK 向け TypeSafe プロバイダー。"
},
"decision": {
"en": "Maps choice, score, and yes/no questions to System One and parses typed results.",
"zh": "把 choice、score 与 yes/no 问题映射到 System One,并解析类型化结果。",
"ja": "選択肢、スコア、はい/いいえの質問を System One にマッピングし、型付きの結果 を解析します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/vercel/ai/blob/73ec7015edd4f04ca9144ce93a8a037a731e5db8/packages/typesafe-ai/src/typesafe-ai-evaluation-model.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "cua-jev-use",
"name": "Cua · JEV Use",
"owner": "trycua",
"category": "browser-computer-use",
"repoUrl": "https://github.com/trycua/cua",
"evidenceUrl": "https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11",
"language": "Python",
"license": "MIT",
"starsAtCapture": 26009,
"summary": {
"en": "A computer-use example pairing Cua Driver observation and execution with bounded JEV choices.",
"zh": "把 Cua Driver 的观察与执行能力和 JEV 的有限动作选择结合起来。",
"ja": "Cua Driver の観察と実行を、制限された JEV の選択肢と組み合わせたコンピューター使用例。"
},
"decision": {
"en": "Reads DOM or visual-region descriptions and returns one supplied candidate action ID.",
"zh": "读取 DOM 或视觉区域描述,从候选动作中返回一个动作 ID。",
"ja": "DOM または視覚領域の説明を読み取り、指定された 1 つの候補アクション ID を返します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/trycua/cua/blob/83f142c4290a0f7d9ed545ae8532858c6e4f8145/libs/cua-driver/examples/jev-use/python/jev_adapter.py#L11"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "hindsight-typesafe-rerank",
"name": "Hindsight · TypeSafe Rerank",
"owner": "vectorize-io",
"category": "search-data",
"starsAtCapture": 25263,
"language": "Python",
"license": "MIT",
"summary": {
"en": "An agent-memory system with a TypeSafe reranker that can prune irrelevant recall candidates.",
"zh": "在 Agent 记忆系统中加入 TypeSafe 重排器,可剔除无关召回候选。",
"ja": "Agent メモリに TypeSafe リランカーを追加し、無関係な検索候補を除外できます。"
},
"decision": {
"en": "Uses calibrated relevance decisions to score and optionally prune retrieved memories under bounded retry policy.",
"zh": "用校准后的相关性判断评分并按需剪枝召回记忆,同时受有限重试策略约束。",
"ja": "較正済みの関連性判断で記憶を採点・必要に応じて除外し、再試行回数も制限します。"
},
"repoUrl": "https://github.com/vectorize-io/hindsight",
"evidenceUrl": "https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/vectorize-io/hindsight/blob/680406b3dd9cca2108c7f0e204820a09b4e30906/hindsight-api-slim/hindsight_api/engine/cross_encoder.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "openwork",
"name": "Openwork",
"owner": "different-ai",
"category": "agent-workflows",
"repoUrl": "https://github.com/different-ai/openwork",
"evidenceUrl": "https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/different-ai/openwork/blob/80c74d2160034fa1738fc6be78dd24ddfeccfc59/.github/scripts/jev-test-coverage-review.mjs"
},
"language": "TypeScript",
"license": "Not declared",
"starsAtCapture": 23700,
"summary": {
"en": "An open-source cowork-style agent workspace that can run JEV-backed reviews inside CI and skill workflows.",
"zh": "开源的 cowork 风格 Agent 工作区,可在 CI 与 Skill 流程里跑 JEV 驱动的审查。",
"ja": "CI と Skill ワークフローで JEV レビューを実行できる、オープンソースの cowork 風エージェント作業空間。"
},
"decision": {
"en": "Scores or gates test-coverage and review findings before merging agent-produced changes.",
"zh": "在合并 Agent 产出前,对测试覆盖与审查结论做评分或门禁。",
"ja": "エージェント成果をマージする前に、テストカバレッジやレビュー結果を評価・ゲートします。"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "pydantic-ai-typesafe",
"name": "Pydantic AI · TypeSafe",
"owner": "pydantic",
"category": "sdk-integrations",
"repoUrl": "https://github.com/pydantic/pydantic-ai",
"evidenceUrl": "https://github.com/pydantic/pydantic-ai/blob/c4898abb54dc25ae6f6aef208a4c0661b30a455e/pydantic_ai_slim/pydantic_ai/models/typesafe.py",
"language": "Python",
"license": "MIT",
"starsAtCapture": 20124,
"summary": {
"en": "A TypeSafe model integration that maps supported structured outputs to JEV questions.",
"zh": "把受支持的结构化输出映射为 JEV 问题的 TypeSafe 模型集成。",
"ja": "サポートされている構造化出力を JEV 質問にマッピングする TypeSafe モデル統合。"
},
"decision": {
"en": "Converts output fields into typed questions and maps JEV answers back to the result model.",
"zh": "把输出字段转成类型化问题,再将 JEV 答案映射回结果模型。",
"ja": "出力フィールドを型付きの質問に変換し、JEV 応答を結果モデルにマッピングします。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/pydantic/pydantic-ai/blob/c4898abb54dc25ae6f6aef208a4c0661b30a455e/pydantic_ai_slim/pydantic_ai/models/typesafe.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "eliza-typesafe",
"name": "Eliza · TypeSafe Client",
"owner": "elizaOS",
"category": "sdk-integrations",
"repoUrl": "https://github.com/elizaOS/eliza",
"evidenceUrl": "https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 19410,
"summary": {
"en": "An optional TypeSafe HTTP adapter in the Eliza agent operating system.",
"zh": "Eliza Agent 操作系统中的可选 TypeSafe HTTP 适配器。",
"ja": "Eliza エージェント オペレーティング システムのオプションの TypeSafe HTTP アダプター。"
},
"decision": {
"en": "Sends state and questions only when explicitly called and validates typed answers.",
"zh": "仅在显式调用时发送状态与问题,并校验类型化答案。",
"ja": "明示的に呼び出され、型付きの回答 が検証された場合にのみ状態と質問を送信します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/elizaOS/eliza/blob/ebc808e3a67fb941e29153d89fc896524d32fe3c/packages/agent/src/services/typesafe/client.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "jev-ultrafast",
"name": "Jev Ultrafast",
"owner": "browser-use",
"category": "browser-computer-use",
"repoUrl": "https://github.com/browser-use/jev-ultrafast",
"evidenceUrl": "https://github.com/browser-use/jev-ultrafast/blob/1231850a0bf1a0c0341fe408ef1668dbbfdfac46/jev_ultrafast/model.py",
"source": {
"type": "x",
"label": "Original X case",
"url": "https://x.com/gregpr07/status/2100411066966749359",
"author": "@gregpr07",
"views": 2948266
},
"language": "Python",
"license": "MIT",
"starsAtCapture": 18230,
"summary": {
"en": "A browser agent that uses JEV to choose an action and matching DOM element, calling a text model only when input text is needed.",
"zh": "用 JEV 一次选出浏览器动作与对应 DOM 元素,只在需要输入文本时再调用文本模型。",
"ja": "JEV を使用してアクションと一致する DOM 要素を選択し、入力テキストが必要な場合にのみテキスト モデルを呼び出すブラウザ エージェント。"
},
"decision": {
"en": "Chooses the next browser action and target element from the current page state.",
"zh": "根据当前页面状态选择下一步浏览器动作和目标元素。",
"ja": "現在のページ状態から次のブラウザ アクションとターゲット要素を選択します。"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "langchainjs-typesafe",
"name": "LangChain.js · TypeSafe",
"owner": "langchain-ai",
"category": "sdk-integrations",
"repoUrl": "https://github.com/langchain-ai/langchainjs",
"evidenceUrl": "https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 18220,
"summary": {
"en": "A TypeSafeClassifier integration for JavaScript LangChain workflows.",
"zh": "面向 JavaScript LangChain 工作流的 TypeSafeClassifier 集成。",
"ja": "JavaScript の LangChain ワークフロー向け TypeSafeClassifier 連携。"
},
"decision": {
"en": "Invokes JEV with predefined questions and parses choice, noul, score, and probability fields.",
"zh": "用预定义问题调用 JEV,并解析 choice、noul、score 与概率字段。",
"ja": "事前定義された質問を使用して JEV を呼び出し、選択肢、noul、スコア、および確率フィールドを解析します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/langchain-ai/langchainjs/blob/206d8b992bcf90ce7d46f2158f1ad85fc1d826c0/libs/providers/langchain-typesafe/src/classifier.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "json-render-jev",
"name": "json-render · JEV Compose",
"owner": "vercel-labs",
"category": "interfaces",
"repoUrl": "https://github.com/vercel-labs/json-render",
"evidenceUrl": "https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts",
"language": "TypeScript",
"license": "Apache-2.0",
"starsAtCapture": 18112,
"summary": {
"en": "A JEV UI-composition experiment that selects from predefined components and properties.",
"zh": "用 JEV 从预定义组件与属性中进行选择的 UI 组合实验。",
"ja": "事前定義されたコンポーネントとプロパティから選択する JEV UI 構成の実験。"
},
"decision": {
"en": "Evaluates component configurations before local code assembles the UI specification.",
"zh": "先判断组件配置,再由本地代码组装 UI 规范。",
"ja": "ローカル コードが UI 仕様をアセンブルする前に、コンポーネント構成を評価します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/vercel-labs/json-render/blob/3ad381881194e7011ad3ccd6d668033495a06c29/apps/web/lib/jev/compose.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "laya",
"name": "Laya",
"owner": "NandhaKishorM",
"category": "open-models",
"repoUrl": "https://github.com/NandhaKishorM/laya",
"evidenceUrl": "https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md",
"modelUrl": "https://huggingface.co/convaiinnovations/laya",
"language": "Python",
"license": "Apache-2.0",
"starsAtCapture": 17126,
"summary": {
"en": "Multilingual non-autoregressive System 1 decision engine: typed choice/score/noul in one forward pass, with a router across checkpoints.",
"zh": "多语言非自回归 System 1 决策引擎:单次前向完成类型化 choice/score/noul,并由路由在检查点间选型。",
"ja": "多言語・非自己回帰の System 1 意思決定エンジン。1 回の前向き計算で型付き choice/score/noul を出し、ルータがチェックポイントを選びます。"
},
"decision": {
"en": "Answers typed questions over text or structured state without generating free-form text to parse.",
"zh": "对文本或结构化状态回答类型化问题,不生成再解析自由文本。",
"ja": "テキストや構造化状態に対する型付き質問に答え、自由文を生成してパースしません。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/NandhaKishorM/laya/blob/d113dca2512fb3eaca313534bc54c7162d87c1d4/README.md"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "quantdinger-jev",
"name": "QuantDinger · JEV Gate",
"owner": "OpenByteInc",
"category": "domain-tools",
"repoUrl": "https://github.com/OpenByteInc/QuantDinger",
"evidenceUrl": "https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py",
"language": "Python",
"license": "Apache-2.0",
"starsAtCapture": 12024,
"summary": {
"en": "An open-source trading OS with a JEV decision gate before selected live entries.",
"zh": "在部分真实交易入场前增加 JEV 决策闸门的开源交易系统。",
"ja": "選択されたライブエントリーの前に JEV 決定ゲートを備えたオープンソースの取引 OS。"
},
"decision": {
"en": "Checks evidence quality, signal consistency, exposure, and budget before an order reaches the exchange.",
"zh": "在订单进入交易所前检查证据质量、信号一致性、敞口与预算。",
"ja": "注文が取引所に届く前に、証拠の品質、信号の一貫性、露出、予算をチェックします。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/OpenByteInc/QuantDinger/blob/12c04eb2cdb8a9d08dc84502f5261ec3f1c56bf7/backend_api_python/app/services/ai_decision_filter.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "openchamber-jev-router",
"name": "OpenChamber · JEV Router",
"owner": "openchamber",
"category": "routing-optimization",
"repoUrl": "https://github.com/openchamber/openchamber",
"evidenceUrl": "https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 10320,
"summary": {
"en": "An optional automatic model router that classifies a message before model selection.",
"zh": "在选择模型前先对消息分类的可选自动路由器。",
"ja": "モデルを選択する前にメッセージを分類するオプションの自動モデル ルーター。"
},
"decision": {
"en": "Selects a task category; local mappings determine the model and reasoning configuration.",
"zh": "选择任务类别,再由本地映射决定模型与推理配置。",
"ja": "タスクのカテゴリを選択します。ローカル マッピングにより、モデルと推論の構成が決まります。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/openchamber/openchamber/blob/614d7f76e581a132a86575c03d3fa9aad5e624b6/packages/web/server/lib/routing/jev.js"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "rig-typesafe",
"name": "Rig · TypeSafe Crate",
"owner": "0xPlaygrounds",
"category": "sdk-integrations",
"repoUrl": "https://github.com/0xPlaygrounds/rig",
"evidenceUrl": "https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40",
"language": "Rust",
"license": "MIT",
"starsAtCapture": 8703,
"summary": {
"en": "An experimental Rust crate for expressing JEV questions and answers with Rust types.",
"zh": "用 Rust 类型表达 JEV 问题与答案的实验性 crate。",
"ja": "JEV の質問と回答を Rust タイプで表現するための実験的な Rust クレート。"
},
"decision": {
"en": "Sends application state and questions and parses Choice, Score, or Noul answers.",
"zh": "发送应用状态与问题,并解析 Choice、Score 或 Noul 答案。",
"ja": "アプリケーションの状態と質問を送信し、Choice、Score、または Noul の回答を解析します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/0xPlaygrounds/rig/blob/2d16c1b25f6749b3a2cd841beddf767106495069/crates/rig-typesafeai/src/wire.rs#L40"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "bifrost-typesafe-provider",
"name": "Bifrost · TypeSafe Provider",
"owner": "maximhq",
"category": "sdk-integrations",
"starsAtCapture": 8250,
"language": "Go",
"license": "Apache-2.0",
"summary": {
"en": "Bifrost exposes TypeSafe as a native provider through its shared decision operation.",
"zh": "Bifrost 通过统一 Decision 操作把 TypeSafe 接成原生 Provider。",
"ja": "Bifrost は共通の Decision 操作を通じて TypeSafe をネイティブ Provider として公開します。"
},
"decision": {
"en": "Maps Bifrost decision requests to System One while preserving aliases, usage, errors, and typed answers.",
"zh": "把 Bifrost 决策请求映射到 System One,并保留别名、用量、错误与类型化答案。",
"ja": "Bifrost の判断リクエストを System One に変換し、別名・使用量・エラー・型付き回答を保持します。"
},
"repoUrl": "https://github.com/maximhq/bifrost",
"evidenceUrl": "https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/maximhq/bifrost/blob/40c3f7ee3a1a4277c5b269b850ca7725d419907f/core/providers/typesafe/typesafe.go"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "firstmate-jev",
"name": "Firstmate · JEV Dispatch",
"owner": "kunchenguid",
"category": "routing-optimization",
"repoUrl": "https://github.com/kunchenguid/firstmate",
"evidenceUrl": "https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh",
"language": "Shell",
"license": "MIT",
"starsAtCapture": 7018,
"summary": {
"en": "An agent crew dispatcher that can match task briefs to rules with JEV.",
"zh": "可用 JEV 把任务简报匹配到调度规则的 Agent 团队调度器。",
"ja": "JEV を使用してタスクの概要をルールに一致させることができるエージェント クルー ディスパッチャー。"
},
"decision": {
"en": "Matches the task brief to candidate rules before local policy resolves the execution profile.",
"zh": "先把任务简报匹配到候选规则,再由本地策略确定执行配置。",
"ja": "ローカルポリシーが実行プロファイルを決める前に、タスク概要を候補ルールと照合します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/kunchenguid/firstmate/blob/4812db801628040b609dc25a2a8a91ed5efac662/bin/fm-dispatch-resolve.sh"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "gpt-load-jev-provider",
"name": "GPT-Load · JEV Provider",
"owner": "tbphp",
"category": "sdk-integrations",
"starsAtCapture": 6961,
"language": "Go",
"license": "MIT",
"summary": {
"en": "A self-hosted AI gateway with a first-class JEV channel and native Decisions routes.",
"zh": "自托管 AI 网关内置一等 JEV 渠道与原生 Decisions 路由。",
"ja": "セルフホスト AI ゲートウェイに、JEV 専用チャネルとネイティブ Decisions ルートを搭載。"
},
"decision": {
"en": "Registers the fixed TypeSafe endpoint and routes decision creation, model listing, and probes through the native protocol.",
"zh": "注册固定 TypeSafe 端点,并通过原生协议处理决策创建、模型列表与探测。",
"ja": "固定 TypeSafe エンドポイントを登録し、判断作成・モデル一覧・プローブをネイティブプロトコルで処理します。"
},
"repoUrl": "https://github.com/tbphp/gpt-load",
"evidenceUrl": "https://github.com/tbphp/gpt-load/blob/93502ced3a650018a35ed76c54573e90742b8ccc/internal/channel/modules/jev.go",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/tbphp/gpt-load/blob/93502ced3a650018a35ed76c54573e90742b8ccc/internal/channel/modules/jev.go"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "greptimedb-jev-sql",
"name": "GreptimeDB · JEV SQL",
"owner": "GreptimeTeam",
"category": "search-data",
"starsAtCapture": 6704,
"language": "Rust",
"license": "Apache-2.0",
"summary": {
"en": "GreptimeDB adds an experimental SQL predicate backed by JEV judgments.",
"zh": "GreptimeDB 增加由 JEV 判断驱动的实验性 SQL 谓词。",
"ja": "GreptimeDB に JEV 判断を利用する実験的 SQL 述語を追加。"
},
"decision": {
"en": "Evaluates each non-null row as a Noul question and compares its probability with a caller-supplied threshold.",
"zh": "把每个非空行作为 Noul 问题评估,并与调用方给定阈值比较。",
"ja": "各非 null 行を Noul 質問として評価し、呼び出し側指定の閾値と確率を比較します。"
},
"repoUrl": "https://github.com/GreptimeTeam/greptimedb",
"evidenceUrl": "https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/GreptimeTeam/greptimedb/blob/b5199bc59a199875187d808158357a33b09e5f60/src/common/function/src/scalars/jev.rs"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "fast-jev-compaction",
"name": "Fast Jev Compaction",
"owner": "tamaratran",
"category": "developer-tools",
"repoUrl": "https://github.com/tamaratran/fast-jev-compaction",
"evidenceUrl": "https://github.com/tamaratran/fast-jev-compaction/blob/e3f262a7f4d42bd8dd32ced30d26176f7cb545b0/src/client.ts",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 6342,
"summary": {
"en": "Compacts Claude Code tool history while keeping retained text verbatim.",
"zh": "压缩 Claude Code 工具历史,同时原样保留仍有价值的内容。",
"ja": "保持されたテキストをそのまま保持しながら、Claude Code ツール履歴を圧縮します。"
},
"decision": {
"en": "Scores which calls remain useful; local code keeps, truncates, or drops them.",
"zh": "判断哪些调用仍有用,再由本地代码保留、截断或删除。",
"ja": "コールするスコアは依然として有用です。ローカル コードはそれらを保持、切り捨て、または削除します。"
},
"verification": "source-reviewed",
"runtimeVerified": false,
"source": {
"type": "x",
"label": "Original X case",
"url": "https://x.com/tamarajtran/status/2101070206881972243",
"author": "@tamarajtran",
"views": 18175
}
},
{
"id": "open-connector-typesafe",
"name": "Open Connector · TypeSafe",
"owner": "oomol-lab",
"category": "sdk-integrations",
"starsAtCapture": 5876,
"language": "TypeScript",
"license": "Apache-2.0",
"summary": {
"en": "Open Connector exposes TypeSafe evaluation through its provider runtime.",
"zh": "Open Connector 通过 Provider Runtime 暴露 TypeSafe 评估能力。",
"ja": "Open Connector は Provider Runtime 経由で TypeSafe 評価を公開します。"
},
"decision": {
"en": "Validates Noul, Choice, and Score questions and responses before returning them to connector workflows.",
"zh": "在返回 Connector 工作流前,校验 Noul、Choice、Score 问题及其响应。",
"ja": "Noul・Choice・Score の質問と応答を検証してから Connector ワークフローへ返します。"
},
"repoUrl": "https://github.com/oomol-lab/open-connector",
"evidenceUrl": "https://github.com/oomol-lab/open-connector/blob/4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe/src/providers/typesafe_ai/runtime.ts",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/oomol-lab/open-connector/blob/4e6d8533ae436cba4781b6fb69d1bf31e5fb5ffe/src/providers/typesafe_ai/runtime.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "vercel-eve",
"name": "Eve",
"owner": "vercel",
"category": "agent-workflows",
"repoUrl": "https://github.com/vercel/eve",
"evidenceUrl": "https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/vercel/eve/blob/d004e6d47e9d25d0380c24b5a47b65a18f8b2784/README.md"
},
"language": "TypeScript",
"license": "Apache-2.0",
"starsAtCapture": 5324,
"summary": {
"en": "Vercel’s open agent framework for packaging skills, evals, and tool-using workflows.",
"zh": "Vercel 开源的 Agent 框架,用于打包 Skill、评测与带工具的工作流。",
"ja": "Skill・評価・ツール付きワークフローをまとめる Vercel のオープンなエージェント枠組み。"
},
"decision": {
"en": "Structures agent runs so later steps can apply typed judgments before acting.",
"zh": "把 Agent 运行结构化,便于后续步骤在行动前做类型化判断。",
"ja": "エージェント実行を構造化し、行動前に型付き判断を差し込めるようにします。"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "kiln-jev-adapter",
"name": "Kiln · JEV Adapter",
"owner": "Kiln-AI",
"category": "sdk-integrations",
"starsAtCapture": 5077,
"language": "Python",
"license": "NOASSERTION",
"summary": {
"en": "Kiln maps compatible JSON schemas to JEV questions for structured single-turn tasks.",
"zh": "Kiln 把兼容的 JSON Schema 映射为 JEV 问题,用于结构化单轮任务。",
"ja": "Kiln は互換 JSON Schema を JEV 質問へ変換し、構造化された単発タスクを実行します。"
},
"decision": {
"en": "Converts enums, booleans, bounded integers, and probabilities into typed questions, then reconstructs schema-valid output.",
"zh": "把枚举、布尔值、有限整数与概率转成类型化问题,再重建符合 Schema 的输出。",
"ja": "列挙・真偽・範囲付き整数・確率を型付き質問へ変換し、Schema 適合の出力を復元します。"
},
"repoUrl": "https://github.com/Kiln-AI/Kiln",
"evidenceUrl": "https://github.com/Kiln-AI/Kiln/blob/5992e2e51ec6782fce33f277145954ba3ae8467e/libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/Kiln-AI/Kiln/blob/5992e2e51ec6782fce33f277145954ba3ae8467e/libs/core/kiln_ai/adapters/model_adapters/jev_adapter.py"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "agentgateway-jev-guardrail",
"name": "Agentgateway · JEV Guardrail",
"owner": "agentgateway",
"category": "safety-review",
"repoUrl": "https://github.com/agentgateway/agentgateway",
"evidenceUrl": "https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts",
"language": "TypeScript",
"license": "Apache-2.0",
"starsAtCapture": 4990,
"summary": {
"en": "A JEV webhook guardrail example for inspecting model requests and responses.",
"zh": "用 JEV Webhook 检查模型请求与响应的 Guardrail 示例。",
"ja": "モデルのリクエストとレスポンスを検査するための JEV Webhook ガードレールの例。"
},
"decision": {
"en": "Scores jailbreaks, harmful content, and secret disclosure before gateway policy accepts a request.",
"zh": "对越狱、有害内容与密钥泄露评分,再由网关策略决定是否放行。",
"ja": "ゲートウェイ ポリシーがリクエストを受け入れる前に、ジェイルブレイク、有害なコンテンツ、秘密の漏洩をスコアリングします。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/agentgateway/agentgateway/blob/6b0270efd25b5255932943e48b5ca47583d3ad28/examples/llm-guardrail-jev/guardrail.ts"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "latitude-jev-preclassifier",
"name": "Latitude · JEV Preclassifier",
"owner": "latitude-dev",
"category": "safety-review",
"repoUrl": "https://github.com/latitude-dev/latitude-llm",
"evidenceUrl": "https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1",
"language": "TypeScript",
"license": "MIT",
"starsAtCapture": 4668,
"summary": {
"en": "An optional JEV preclassifier for selecting which conversation checks should run.",
"zh": "选择一段会话应执行哪些检查的可选 JEV 预分类器。",
"ja": "実行する会話チェックを選ぶための、任意で使える JEV 事前分類器。"
},
"decision": {
"en": "Judges which checks apply before thresholds and rate limits allow them into the evaluation queue.",
"zh": "先判断哪些检查适用,再由阈值和速率限制决定是否入队。",
"ja": "しきい値とレート制限が適用される前に、どのチェックが評価キューに入れられるかを判断します。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/latitude-dev/latitude-llm/blob/6b2484c1d74973877fc7d353b8867c7496568d78/packages/domain/flaggers/src/use-cases/run-jev-preclassifier.ts#L1"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "kev",
"name": "Kev 0.5B",
"owner": "jaredpalmer",
"category": "open-models",
"repoUrl": "https://github.com/jaredpalmer/kev",
"evidenceUrl": "https://github.com/jaredpalmer/kev/blob/20fa6268c8ceb226530be2fb5266ab2c36b37724/README.md",
"language": "Python",
"license": "Apache-2.0",
"starsAtCapture": 4463,
"summary": {
"en": "A tiny trainable Jev-like decision model based on Qwen2.5-0.5B.",
"zh": "基于 Qwen2.5-0.5B、可在 MacBook 上训练运行的轻量决策模型。",
"ja": "Qwen2.5-0.5B に基づく、小さなトレーニング可能な JEV のような意思決定モデル。"
},
"decision": {
"en": "Exposes a TypeSafe-compatible API for bounded local choices and scores.",
"zh": "通过 TypeSafe 兼容接口完成有边界的本地选择与评分。",
"ja": "制限されたローカルの選択肢とスコア用の TypeSafe 互換 API を公開します。"
},
"verification": "source-reviewed",
"runtimeVerified": false,
"source": {
"type": "x",
"label": "Original X case",
"url": "https://x.com/jaredpalmer/status/2101028325472841920",
"author": "@jaredpalmer",
"views": 165852
}
},
{
"id": "jev-chat-jarvis",
"name": "JEV Chat Jarvis",
"owner": "jev-chat",
"category": "interfaces",
"starsAtCapture": 4149,
"language": "Kotlin",
"license": "MIT",
"summary": {
"en": "An Android conversation copilot that reads visible chat context and proposes replies without auto-sending.",
"zh": "读取可见聊天上下文、给出候选回复但不自动发送的 Android 对话副驾。",
"ja": "表示中の会話を読み、候補返信を提案するが自動送信しない Android 会話コパイロット。"
},
"decision": {
"en": "Uses JEV to judge conversation state and bounded reply choices while the user retains the send action.",
"zh": "用 JEV 判断会话状态与有限回复选项,最终发送仍由用户控制。",
"ja": "JEV で会話状態と限定された返信候補を判断し、送信操作はユーザーに残します。"
},
"repoUrl": "https://github.com/jev-chat/jev-chat-jarvis",
"evidenceUrl": "https://github.com/jev-chat/jev-chat-jarvis/blob/d8720521fa13aa5172a891cba95c5dd8aeb44a11/app/src/main/java/com/jev/probe/jev/JevClient.kt",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/jev-chat/jev-chat-jarvis/blob/d8720521fa13aa5172a891cba95c5dd8aeb44a11/app/src/main/java/com/jev/probe/jev/JevClient.kt"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "semif",
"name": "SemIf",
"owner": "TheoLeeCJ",
"category": "open-models",
"repoUrl": "https://github.com/TheoLeeCJ/SemIf",
"evidenceUrl": "https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md",
"modelUrl": "https://github.com/TheoLeeCJ/SemIf#models",
"language": "Python",
"license": "MIT",
"starsAtCapture": 3882,
"summary": {
"en": "An independent open-model implementation of the semantic-if interface pattern.",
"zh": "用开放模型实现“语义 if”接口模式的独立研究项目。",
"ja": "semantic-if インターフェイス パターンの独立したオープンモデル実装。"
},
"decision": {
"en": "Reads option probabilities directly from open models without a generated answer sentence.",
"zh": "直接读取开放模型的选项概率,不生成再解析答案文本。",
"ja": "生成された回答文を使用せずに、オープン モデルからオプションの確率を直接読み取ります。"
},
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/TheoLeeCJ/SemIf/blob/ca3ba65f142967030ecb453346e94d6f476a69df/README.md"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{
"id": "fx-typesafe-permission-reviewer",
"name": "fx · TypeSafe Permission Reviewer",
"owner": "vercel-labs",
"category": "safety-review",
"starsAtCapture": 3127,
"language": "Zig",
"license": "Apache-2.0",
"summary": {
"en": "A Zig coding agent with an optional TypeSafe Jev permission reviewer for pending tool actions.",
"zh": "Zig 编码 Agent,可选 TypeSafe Jev 权限审查器,用于审核待执行工具动作。",
"ja": "保留中のツール操作を審査する TypeSafe Jev 権限レビュアー付き Zig コーディング Agent。"
},
"decision": {
"en": "Posts pending actions to System One as Choice questions and maps allow/deny probabilities into the agent permission gate.",
"zh": "把待执行动作作为 Choice 提交到 System One,并把允许/拒绝概率映射进 Agent 权限门。",
"ja": "保留中の操作を Choice として System One に送り、許可/拒否確率を Agent の権限ゲートへ写します。"
},
"repoUrl": "https://github.com/vercel-labs/fx",
"evidenceUrl": "https://github.com/vercel-labs/fx/blob/e094531ec3fe23b2a1498132f2cea04df680434b/src/builtins/gateway/typesafe_permission_reviewer.zig",
"source": {
"type": "github",
"label": "GitHub source",
"url": "https://github.com/vercel-labs/fx/blob/e094531ec3fe23b2a1498132f2cea04df680434b/src/builtins/gateway/typesafe_permission_reviewer.zig"
},
"verification": "source-reviewed",
"runtimeVerified": false
},
{