その他のリスト
このカテゴリの 425 件。各項目に具体的な判断と開ける根拠リンクがあります。
0x7067/claude-jev
README states: The run sends your past prompts to api.typesafe.ai. Start with --sample 250
根拠https://github.com/0x7067/claude-jev/blob/main/eval/README.md#L130
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0xArx/jevegis
README states: retrieved documents) and Trust & Safety moderation, both powered by TypeSafe's Jev
根拠https://github.com/0xArx/jevegis/blob/main/src/lib/engine.ts#L1
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0xBakeer/arbiter
README states: Serve typed-decision models — Laya or your own — on your GPU or your Mac, with a Jev-compatible
根拠https://github.com/0xBakeer/arbiter/blob/main/integrations/claude-code/hooks/eval.py#L57
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0xNatoshi/jev-codex-router
README states: Jev chooses a model and thinking effort together for each model call, including
根拠https://github.com/0xNatoshi/jev-codex-router/blob/main/poc/backtest_savings.py#L157
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0xtrou/rubikjev
README states: You scramble like a menace. Jev — the in-house AI solver — judges the chaos, roasts you, and cooks the solve live.
根拠https://github.com/0xtrou/rubikjev/blob/main/src/app/api/solve/route.ts#L127
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2FastLabs/agent-squad
README states: ⚡ Fast and cheap — sub-second decisions billed on input tokens only (output tokens free, see pricing), versus a full LLM call per routing decision.
根拠https://github.com/2FastLabs/agent-squad/blob/main/README.md#L157
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3clyp50/a0-typesafe-ai
README states: Ask Jev focused questions and get typed answers with probability cards in Agent Zero's chat. One typesafe_query call can combine Choice, Noul, Score, and Box questions over the same text and images.
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6Mikao9/jev-agent-design-with-topk-logits-choices
README states: Jev is the first backend we use for live experiments; the runtime API is
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Aayan-DEV/aayans-yc-indexor
README states: Put a TypeSafe key in .env.local as TYPE_SAFE_KEY. Get one at typesafe.ai.
根拠https://github.com/Aayan-DEV/aayans-yc-indexor/blob/main/README.md#L30
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AbdelStark/bicameral
README states: Sent to TypeSafe (POST /v1/systemone via TypeSafeClient.systemOne): redacted, truncated JSON state for the current reflex (goal, proposed tool, compact diffs, recent action summaries) and the pack's questions.
根拠https://github.com/AbdelStark/bicameral/blob/main/packages/s1-runtime/src/backends/typesafe.ts#L1
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abe75ch/tiltmeter
README states: Notices your Jev decisions tilting before anything visibly breaks.
根拠https://github.com/abe75ch/tiltmeter/blob/main/tiltmeter.py#L270
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AboveColin/HA-Jev
README states: back. Jev is a decision model, not a chat model. It answers a typed question with a
根拠https://github.com/AboveColin/HA-Jev/blob/main/README.md#L12
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ad-si/cai
README states: [TypeSafe]: https://docs.typesafe.ai/models
根拠https://github.com/ad-si/cai/blob/main/readme.md#L50
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adarshmishra07/jcm-router
README states: level per message, using TypeSafe's Jev classifier. Trivial questions go to Haiku, everyday work to
根拠https://github.com/adarshmishra07/jcm-router/blob/main/scripts/eval.ts#L12
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adhyaay-karnwal/jev-chat
README states: A research decoder that treats Jev (a System One decision model) as if it were a language model.
根拠https://github.com/adhyaay-karnwal/jev-chat/blob/main/src/jevchat/client.py#L7
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affirmitv/ghosthands
README states: Configuration: GH_PLANNER=jev, GH_JEV_MODEL (default typesafe/jev-1.13; ~typesafe/jev-latest
根拠https://github.com/affirmitv/ghosthands/blob/main/README.md#L221
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afshinm/laya-mps
README states: Run Jev-style typed decisions locally on your Mac with low RAM usage and fast responses.
根拠https://github.com/afshinm/laya-mps/blob/main/README.md#L3
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Ai-trainee/awesome-jev
README states: prism-liquidity-agent — ★69 · TypeScript · Jev 评分 18 · 工具与产品 — Solana 流动性代理:可选的 Jev 影子判定用于存款选择、有毒流与市场状态压力。
根拠https://github.com/Ai-trainee/awesome-jev/blob/main/README.md#L390
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ai4curation/jevotron
README states: in tabular, structured, and text files, SQLite, and DuckDB, powered by Jev.
根拠https://github.com/ai4curation/jevotron/blob/main/README.md#L8
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AiPersonacademy/jev-resume-disqualifier
README states: Automated Candidate Knockout Engine for High-Volume Recruiting — Powered by TypeSafe Jev System One Decision Intelligence.
根拠https://github.com/AiPersonacademy/jev-resume-disqualifier/blob/main/engine/decision_gateway.py#L20
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alexj11324/open-jev-approvals
README states: When the agent is about to run a tool, a hook intercepts the call, TypeSafe
根拠https://github.com/alexj11324/open-jev-approvals/blob/main/internal/jev/client.go#L22
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allebee/pytest-jev
README states: All the claims about one text go to Jev in a single request. When a prompt change breaks the reply,
根拠https://github.com/allebee/pytest-jev/blob/main/bench/llm_judge.py#L14
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allenporter/home-assistant-typesafe
README states: Queries the TypeSafe System One API (jev-latest) in a single network roundtrip, obtaining calibrated probabilities across all questions without hallucination or token streaming latency.
根拠https://github.com/allenporter/home-assistant-typesafe/blob/main/README.md#L34
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alterhq/typesafe-sdk-swift
README states: authenticated backend. Keep the TypeSafe API key in server-side secret storage. Direct API-key
根拠https://github.com/alterhq/typesafe-sdk-swift/blob/main/Sources/TypeSafe/Requests.swift#L4
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altryne/jevify
README states: Use Jev during everyday agent work, and find what it can improve in your product.
根拠https://github.com/altryne/jevify/blob/main/scripts/jev_client.py#L32
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andrelandgraf/safer-with-jev
README states: Public showcases of TypeSafe Jev judgments. TypeSafe Jev inspects the body, then optionally forwards the same bytes to a caller-chosen HTTPS URL.
根拠https://github.com/andrelandgraf/safer-with-jev/blob/main/src/index.ts#L5
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andududu/jeview
README states: your code → Jeview (127.0.0.1:4777) → TypeSafe (api.typesafe.ai)
根拠https://github.com/andududu/jeview/blob/main/README.md#L9
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Anil-matcha/awesome-jev-by-typesafe
README states: ▶ Watch: Jev: 8 Wild Things People Already Built With TypeSafe's New AI Model
根拠https://github.com/Anil-matcha/awesome-jev-by-typesafe/blob/main/README.md#L14
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aniruddh-krovvidi/switchboard
README states: A guardrail and model router for LLM gateways, built on Jev, TypeSafe AI's
根拠https://github.com/aniruddh-krovvidi/switchboard/blob/main/jev.py#L3
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anishfn/shapeshift
README states:
根拠https://github.com/anishfn/shapeshift/blob/main/src/lib/jev/client.ts#L2
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AnotiaWang/awesome-jev
README states: Open-source products and demos that put a decision model in a real loop. Most use Jev today.
根拠https://github.com/AnotiaWang/awesome-jev/blob/main/README.md#L178
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AntonioCoppe/jev-harness
README states: It is not affiliated with TypeSafe. You need a TypeSafe API key to call Jev.
根拠https://github.com/AntonioCoppe/jev-harness/blob/main/recipes/agent-comm-harness/message-route.ts#L1
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AppitStudio/awesome-jev
README states: Discover Jev-powered apps, developer resources, and runnable decision examples.
根拠https://github.com/AppitStudio/awesome-jev/blob/main/README.md#L3
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AppSprout-dev/Unsga3
README states: TypeSafe / Jev Pareto scoring (optional)
根拠https://github.com/AppSprout-dev/Unsga3/blob/main/README.md#L104
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ARCJ137442/jev-life
README states: Alongside it sits a Jev-compatible broker that wraps any OpenAI- or Anthropic-compatible LLM into a Jev backend,
根拠https://github.com/ARCJ137442/jev-life/blob/main/src/client/api.ts#L222
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arczhi/jet
README states: Judgment-first routing — Jev (TypeSafe System One) handles context
根拠https://github.com/arczhi/jet/blob/main/README.md#L43
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atharvamhaske/typesafe-sdk-go
README states: | WithBaseURL | TYPESAFE_BASE_URL | API base URL, defaults to https://api.typesafe.ai |
根拠https://github.com/atharvamhaske/typesafe-sdk-go/blob/main/README.md#L115
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audreyt/paseo-spacedock
README states: Gate judgment (Jev / TypeSafe-compatible)
根拠https://github.com/audreyt/paseo-spacedock/blob/main/README.md#L56
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automateyournetwork/netclaw
README states: | JEV_BASE_URL | https://api.typesafe.ai; /v1/systemone appended when no path supplied; full custom paths accepted |
根拠https://github.com/automateyournetwork/netclaw/blob/main/mcp-servers/jev-mcp/README.md#L42
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Avinash-jetwani/jevmem
README states: To TypeSafe AI, https://api.typesafe.ai/v1/systemone, or the URL in TYPESAFE_BASE_URL if you set it:
根拠https://github.com/Avinash-jetwani/jevmem/blob/main/plugin/README.md#L46
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awlevin/typesafe-computer-use
README states:
根拠https://github.com/awlevin/typesafe-computer-use/blob/main/typesafe_computer_use/actions.py#L9
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awslabs/agentcore-samples
README states: Jev Evaluators (--with-jev)
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Ayush0054/metis
README states: metis-workflow is a small Python framework for workflows powered by TypeSafe AI's
根拠https://github.com/Ayush0054/metis/blob/main/legacy/metis-triage/src/metis_triage/_triage.py#L154
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Baba88611/detroit-ai-player
README states: Select the dedicated TypeSafe backend with --model jev. Append these variables to your local 03_runner/.env, preserving existing configuration. Keep the real key local:
根拠https://github.com/Baba88611/detroit-ai-player/blob/main/README.md#L189
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bcharleson/jev-gtm-cookbook
README states: Open-source go-to-market recipes built on TypeSafe's Jev: code does the work, Jev makes the judgment calls, and each recipe runs locally on data you already own.*
根拠https://github.com/bcharleson/jev-gtm-cookbook/blob/main/README.md#L5
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beamnxw/minelog
README states: Jev (TypeSafe System One) picks one bounded action from a closed catalog, plus a safety noul and an urgency score. Fast. Typed. No prose.
根拠https://github.com/beamnxw/minelog/blob/main/README.md#L33
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BeatAPI/awesome-jev
README states:
根拠https://github.com/BeatAPI/awesome-jev/blob/main/scripts/curate-star50-expansion-2026-09-23.mjs#L217
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BenCaunt/jev-box-tracking
README states: jev-box-tracking
根拠https://github.com/BenCaunt/jev-box-tracking/blob/main/README.md#L1
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bestagentkits/jev-skillful
README states: The prompt is sent to api.typesafe.ai as part of the routing request. This is the only kind of
根拠https://github.com/bestagentkits/jev-skillful/blob/main/packages/cli/src/core/eval/replay.ts#L22
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Bewinxed/jevgpt
README states: TypeSafe AI's jev-latest is a decision model: it does not generate text,
根拠https://github.com/Bewinxed/jevgpt/blob/master/src/jevgpt/sampler.py#L29
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bhaiG-de/jev-design-test
README states: Prerequisites: Node 20+, and a Jev (TypeSafe) API key.
根拠https://github.com/bhaiG-de/jev-design-test/blob/master/vite.config.ts#L5
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BillionsBobby/JevRouter
README states:
根拠https://github.com/BillionsBobby/JevRouter/blob/main/src/provider.ts#L103
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bladedevoff/stuntd
README states: With the paid Jev API in front, the same demo runs with it as the teacher instead: put
根拠https://github.com/bladedevoff/stuntd/blob/main/examples/banking/README.md#L42
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bodepudimuneendra-netizen/laya-jev-GraphRAG
README states: │ LAYER 2 — DECISION (Laya / Jev) ← The CPU │
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bohutang/sift
README states: Search results stay native: no Jev scoring, local filters, labels, or collapsed posts on /search. The normal feed and post pages still use your filtering settings.
根拠https://github.com/bohutang/sift/blob/main/background.js#L4
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brainstormity/Jev-X-Sentiment-Analysis
README states: An on-demand crypto market intelligence and decision-support terminal powered by TypeSafe AI's System One model (Jev).
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brandonbryant12/transcript-scorecard
README states: Server-side OpenAI Decisions and TypeSafe JEV adapters for incremental transcript scoring
根拠https://github.com/brandonbryant12/transcript-scorecard/blob/main/apps/api/src/classifier.ts#L1
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brnyxx/jev-ra
README states:
根拠https://github.com/brnyxx/jev-ra/blob/main/jev_ra/config.py#L11
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buberlo/jev-trader
README states: jev-trader
根拠https://github.com/buberlo/jev-trader/blob/main/README.md#L1
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bugkiwi/elons-job
README states: TypeSafe 请求使用 https://api.typesafe.ai/v1/systemone;API 返回不符合预期、超时、401、429 或 5xx 时 Fail Open。
根拠https://github.com/bugkiwi/elons-job/blob/main/README.md#L46
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BunsDev/typesafe-ai-playground
README states: Small experiments. Clear decisions. This is an independent community project, not an official TypeSafe AI product, production agent harness, or claim that a typed answer is correct.
根拠https://github.com/BunsDev/typesafe-ai-playground/blob/main/lib/serverJev.ts#L52
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BunsDev/typesafe-ui
README states: Reusable React components and interactive interface patterns for TypeSafe AI projects, built with shadcn/ui, Base UI, and Tailwind CSS.
根拠https://github.com/BunsDev/typesafe-ui/blob/main/README.md#L3
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burnigtm/jev-mcp
README states: codex mcp add jev --env TYPESAFE_API_KEY=ts_... -- node /absolute/path/to/jev-mcp/dist/index.js
根拠https://github.com/burnigtm/jev-mcp/blob/main/src/errors.ts#L1
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BYK/jev-mcp
README states: Most Jev integrations expose "ask the model a question". The hard part in practice is not asking —
根拠https://github.com/BYK/jev-mcp/blob/main/src/tools/ask.ts#L37
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bytelabs-oss/clash-jev
README states: play around with it. I built clash-jev, a bot that uses Jev to make near real-time decisions on live
根拠https://github.com/bytelabs-oss/clash-jev/blob/main/clash_jev/policy.py#L183
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caiovicentino/eikos-arena
README states: MIT) against Jev (TypeSafe's decision API). Every 5 minutes both get the same market snapshot and the same 28
根拠https://github.com/caiovicentino/eikos-arena/blob/main/arena/arena.py#L31
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can1357/jegrep
README states: src/jev.rs 0.97 · 458 lines shown
根拠https://github.com/can1357/jegrep/blob/main/README.md#L122
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CaptainCore/captaincore
README states: Optional integrations -- fathom_api_key (analytics) and typesafe_api_key (the TypeSafe decision API behind captaincore typesafe and scan --triage; TYPESAFE_API_KEY in the environment works too)
根拠https://github.com/CaptainCore/captaincore/blob/master/typesafe/client.go#L188
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carldaws/hunch
README states: Point Hunch at a System One endpoint. Jev is available through
根拠https://github.com/carldaws/hunch/blob/main/README.md#L27
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carlosedm10/agi-jev-containment
README states: What is Jev in this project? Jev is TypeSafe System One (jev-1.13.0): a semantic classifier that answers typed questions (criticality L0–L5, intent, concealment, …) over short-term tape + long-term key nodes. It does not
根拠https://github.com/carlosedm10/agi-jev-containment/blob/main/README.md#L70
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cbruyndoncx/AskJev-MCP
README states: Ask everything you want to know about a state in one call rather than several — TypeSafe bills per
根拠https://github.com/cbruyndoncx/AskJev-MCP/blob/main/src/index.ts#L6
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cequence-io/openai-scala-client
README states: Decision models give typed answers with calibrated probabilities. Two APIs serve them - TypeSafe AI's System One
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Chandler-Sun/chat2jev
README states: Convert OpenAI-compatible Chat Completions requests into TypeSafe System One (Jev) State / Questions, compare generated text with structured judgments, and publish reusable question sets as proxy routes.
根拠https://github.com/Chandler-Sun/chat2jev/blob/main/src/components/answers.tsx#L49
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CharlesFeng0314/JEV_sees
README states: JEV is fast, structured, and built to make decisions.
根拠https://github.com/CharlesFeng0314/JEV_sees/blob/main/jev_sees/__init__.py#L3
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Charlyhno-eng/jev-document-classification
README states: To use JEV, you need a Vercel account and an AI Gateway API key.
根拠https://github.com/Charlyhno-eng/jev-document-classification/blob/main/README.md#L25
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cheeaun/jevmoji
README states: Type up to 40 characters. Get related emojis scored by TypeSafe’s Jev — many matches, not just one.
根拠https://github.com/cheeaun/jevmoji/blob/main/README.md#L10
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CheshiAI/Cheshi
README states: Previous conversation recall is off by default, including for existing TypeSafe
根拠https://github.com/CheshiAI/Cheshi/blob/main/README.md#L86
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chez-shanpu/typesafeai-go
README states: // A TypeSafe AI compatible server running locally without authentication.
根拠https://github.com/chez-shanpu/typesafeai-go/blob/main/option.go#L9
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christos-antono/NPCTalk
README states: | Actions and spoken orders | TypeSafe | TYPESAFE_API_KEY |
根拠https://github.com/christos-antono/NPCTalk/blob/main/README.md#L57
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chy4pro/jev-for-chrome
README states: | OpenRouter | https://openrouter.ai/api/alpha/decisions | typesafe/jev-1.13 |
根拠https://github.com/chy4pro/jev-for-chrome/blob/main/README.md#L112
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cobanov/awesome-jev
README states: New: Ollaya runs open decision models locally behind a Jev-compatible API.
根拠https://github.com/cobanov/awesome-jev/blob/main/README.md#L8
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cobusgreyling/Jev
README states: Jev Showcase — TypeSafe System One, not chat
根拠https://github.com/cobusgreyling/Jev/blob/main/README.md#L1
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cocktailpeanut/jevthoven
README states: There is no offline composer, audio model, or hidden song library. Every note traces to a persisted Jev decision (or a labeled fixture/manual edit).
根拠https://github.com/cocktailpeanut/jevthoven/blob/main/app/scripts/live-smoke.mjs#L15
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codaaiteam/jev-mcp
README states: Official TypeSafe: get a key at console.typesafe.ai. It's used against api.typesafe.ai by default.
根拠https://github.com/codaaiteam/jev-mcp/blob/main/README.md#L30
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Cognipeer/agent-sdk
README states: Against the real Jev API
根拠https://github.com/Cognipeer/agent-sdk/blob/main/examples/jev-guardrail/README.md#L24
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colliber/duckdb-jev
README states: the extension talking to api.typesafe.ai.
根拠https://github.com/colliber/duckdb-jev/blob/main/docs/README.md#L4
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columnar-tech/jevaro
README states: A Python batching proxy for Jev that returns
根拠https://github.com/columnar-tech/jevaro/blob/main/README.md#L3
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compozy/yoshi
README states: Jev judges new context once, above a configurable size gate. Yoshi applies the
根拠https://github.com/compozy/yoshi/blob/main/README.md#L7
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Contrastive-LM/CLM
README states: It performs on par with Jev across computer-use, gaming and tool-calling
根拠https://github.com/Contrastive-LM/CLM/blob/main/src/clm/__init__.py#L6
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CorieW/JevTest
README states: To run the same suite using Jev, copy .env.example to .env.local, set TYPESAFE_API_KEY, then run:
根拠https://github.com/CorieW/JevTest/blob/main/src/jev.ts#L122
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CTNicholas/jev-workflow-builder
README states: Create an account on typesafe.ai
根拠https://github.com/CTNicholas/jev-workflow-builder/blob/main/README.md#L14
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danielgshea/jev-as-a-judge
README states: This project tests a third option: Jev, TypeSafe AI's System One decision model. We compare Jev with GPT-5.6 Luna, GPT-5.6 Terra, and Claude Sonnet 4.6 on the same fixed agent runs, measuring binary accuracy, score relia
根拠https://github.com/danielgshea/jev-as-a-judge/blob/main/README.md#L5
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DanRWilloughby/snifftest
README states: judgment rules too, put a TypeSafe key in TYPESAFE_API_KEY and drop
根拠https://github.com/DanRWilloughby/snifftest/blob/main/src/jev.ts#L50
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danvega/jev-spring-boot-starter
README states: | jev.api-key | TYPESAFE_API_KEY fallback | TypeSafe API key |
根拠https://github.com/danvega/jev-spring-boot-starter/blob/main/README.md#L145
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Das-rebel/a3m-router
README states: model="jev-auto" — ML decision head, calibrated probabilities, ~2ms warm
根拠https://github.com/Das-rebel/a3m-router/blob/main/README.md#L120
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daseinlabs/open-jev
README states: make systemone # TypeSafe-style request against /v1/systemone
根拠https://github.com/daseinlabs/open-jev/blob/main/demo/doom/client.py#L66
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davila7/jev-explained
README states: Learn how TypeSafe's Jev makes typed, probabilistic decisions — by running it.
根拠https://github.com/davila7/jev-explained/blob/main/src/lib/providers.ts#L21
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DECRUX9812/typesafe-skill-router
README states: A TypeSafe API key (TYPESAFE_API_KEY) — create one at
根拠https://github.com/DECRUX9812/typesafe-skill-router/blob/main/__init__.py#L30
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delexw/claude-code-trace
README states: Jev and provider API keys live in the OS credential store (macOS Keychain, Windows Credential
根拠https://github.com/delexw/claude-code-trace/blob/main/src-tauri/src/efficiency/jev.rs#L12
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dengyie/ai-register-machine
README states: | typesafe.ai / jev | ./register.sh typesafe [count] [threads] | Python + requests + Stytch Magic-Link | typesafe-*.json (0600 API Key) |
根拠https://github.com/dengyie/ai-register-machine/blob/main/README.md#L36
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devagrawal09/jev-review
README states: The reviewer keeps orchestration in code and uses Jev for bounded judgments:
根拠https://github.com/devagrawal09/jev-review/blob/main/src/review/codebase-judgments.ts#L3
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devagrawal09/stanley-code
README states: For built-ins, Jev answers fixed-choice questions about each piece. Using your required TypeSafe API key,
根拠https://github.com/devagrawal09/stanley-code/blob/main/README.md#L94
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Devin-AXIS/jev-dsh-decision
README states: 问题类型是 choice(单选)、score(等级评分)、noul(是的概率)。多个互补 Skill 可使用多个独立 noul 问题。传入最小必要上下文,不传密钥或无关私密资料。网络固定发往 https://api.typesafe.ai/v1/systemone;默认模型 jev-latest。
根拠https://github.com/Devin-AXIS/jev-dsh-decision/blob/main/README.md#L137
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DevMortimer/pi-warden
README states: Jev requests cost money, so each 1.0 change was measured by what it saves. Each figure is the measured change on recorded sessions of one machine, not a promise for yours.
根拠https://github.com/DevMortimer/pi-warden/blob/main/scripts/slop-cases.mjs#L77
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devtooligan/jevscan-evm
README states: Produce a heat map of likely bugs - in seconds, for pennies - built with TypeSafe's Jev.
根拠https://github.com/devtooligan/jevscan-evm/blob/main/README.md#L10
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dfinke/Jev
README states:
根拠https://github.com/dfinke/Jev/blob/main/README.md#L2
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Dicklesworthstone/skillranker
README states: The right skill for the next step, powered by Jev-compatible providers.
根拠https://github.com/Dicklesworthstone/skillranker/blob/main/src/jev/client/tests.rs#L100
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Dimweaker/jev-libero
README states:
根拠https://github.com/Dimweaker/jev-libero/blob/main/src/jev_libero/client.py#L14
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docxology/daf-jev
README states: Modular, composable Python client and decision toolkit for the TypeSafe Jev
根拠https://github.com/docxology/daf-jev/blob/main/src/daf_jev/__init__.py#L23
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doeixd/discern
README states: error. Provider-neutral: runs on TypeSafe's Jev, or any other DecisionModel.
根拠https://github.com/doeixd/discern/blob/main/README.md#L7
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dominicrico/jev-router
README states: | jev (default) | https://api.typesafe.ai/v1/systemone | jev-latest | TYPESAFE_API_KEY or /jev key (required) |
根拠https://github.com/dominicrico/jev-router/blob/main/README.md#L94
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donvito/ai-backends
README states: | TypeSafe Jev | System One decision model: choice, score, and noul questions | Available |
根拠https://github.com/donvito/ai-backends/blob/main/README.md#L99
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dorkitude/webctl
README states: Smart web search CLI for agents, backed by Jev. Saves a lot of tokens.
根拠https://github.com/dorkitude/webctl/blob/main/README.md#L3
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Dujaydis/JevSysUno
README states: A reference integration for TypeSafe AI's Jev, the first "System One" model: typed
根拠https://github.com/Dujaydis/JevSysUno/blob/master/README.md#L3
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ellistev/typesafe-minecraft-demo
README states: An experimental Minecraft Java bot controlled through TypeSafe choices, with a live world view and the actual API input and output beside it.
根拠https://github.com/ellistev/typesafe-minecraft-demo/blob/main/src/decisions.cjs#L45
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equationalapplications/system-one-reviewer
README states: | jev | --provider jev (default; SOR_PROVIDER env also works) | hosted TypeSafe System One, TYPESAFE_API_KEY | live-tested (all published numbers) |
根拠https://github.com/equationalapplications/system-one-reviewer/blob/main/README.md#L236
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eriestra/browser-use-olympics
README states: echo 'TYPESAFE_API_KEY=...' > ~/.config/typesafe/env # chmod 600
根拠https://github.com/eriestra/browser-use-olympics/blob/main/almond-fastloop.mjs#L102
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Eriskii/ErisLint
README states: anything useful, then map Jev's answers to warnings or errors.
根拠https://github.com/Eriskii/ErisLint/blob/main/src/jev.rs#L24
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EthanAlgoX/AIStock
README states: Try JEV decisions (optional): configure its separate TypeSafe API key in Settings → Models & runtime, then select JEV · Decisions only for a new trading strategy. JEV returns buy/sell/hold, probabilities, and confidence
根拠https://github.com/EthanAlgoX/AIStock/blob/main/README.md#L148
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etweisberg/jev-ui
README states:
根拠https://github.com/etweisberg/jev-ui/blob/main/apps/demo/scripts/check-key.mjs#L5
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EugeneBoondock/jevsql
README states:
根拠https://github.com/EugeneBoondock/jevsql/blob/main/src/client.mjs#L28
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evoke-build/evoke
README states: To decide against Jev, export TYPESAFE_API_KEY for the jev adapter, or OPENJEV_API_KEY for openjev. To
根拠https://github.com/evoke-build/evoke/blob/main/crates/evoke-adapters/src/systemone.rs#L85
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f-tiger/jev-decision-gate
README states: Use Jev for Issue triage without building the whole integration and review workflow.
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f/jev-leftpad
README states: Set TYPESAFE_API_KEY before using it. jev-leftpad uses jev-latest through
根拠https://github.com/f/jev-leftpad/blob/main/src/index.js#L1
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fabricioctelles/skills
README states: references/jev-integration.md — integration patterns and code examples
根拠https://github.com/fabricioctelles/skills/blob/main/README.md#L49
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FBddcz/embodied-jev
README states: 🧠 模型入口放在界面里:可接 TypeSafe Jev、Claude 原生 API、OpenAI 兼容 API,以及本地 MiniCPM5-2B。
根拠https://github.com/FBddcz/embodied-jev/blob/main/README.md#L42
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featherless-ai/simple-jev
README states: curl https://simple-jev-demo-api.featherless.ai/v1/models
根拠https://github.com/featherless-ai/simple-jev/blob/main/README.md#L20
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feder-cr/jev
README states:
根拠https://github.com/feder-cr/jev/blob/main/src/main.cpp#L166
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FeiLiuEM/tetrajev
README states: Four readings. One routed decision. Two frozen open-weight models, four independent readings per task, one fit-free decision layer — Jev-class decision behaviour with no fine-tuning and no distillation.
根拠https://github.com/FeiLiuEM/tetrajev/blob/main/scripts/run_jev_api.py#L5
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FerryCorleone/crush-monitor
README states: 一个分析你和 Crush 或对象聊天的小工具,支持 Jev、OpenAI Decisions(测试版)和常见文本大模型。帮你读懂一点对方的情绪和想法,也看看自己的回复哪里没表达好、可以怎么调整。
根拠https://github.com/FerryCorleone/crush-monitor/blob/main/server/analysis.ts#L7
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flitsinc/go-llms
README states: TypeSafe System One models (Jev): typed judgments with probabilities, driven by a JSON output schema
根拠https://github.com/flitsinc/go-llms/blob/main/README.md#L9
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FluidInference/FluidUse
README states: Jev-style decision model: a 322M mmBERT encoder plus decision head that answers typed
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Foadsf/jev-for-engineers
README states: so twelve questions in one call cost about what one call costs. TypeSafe
根拠https://github.com/Foadsf/jev-for-engineers/blob/main/jev.py#L11
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FrancoisChastel/jev-code
README states: jev-code
根拠https://github.com/FrancoisChastel/jev-code/blob/main/README.md#L1
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freepik-company/jev-mcp
README states: TypeSafe's System One model, through OpenRouter or TypeSafe directly.
根拠https://github.com/freepik-company/jev-mcp/blob/main/internal/judgment/tasks.go#L35
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frostney/clean-code-review
README states: Point it at a public GitHub pull request, a diff or a file. Jev, TypeSafe's
根拠https://github.com/frostney/clean-code-review/blob/main/README.md#L7
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gamesonrblx/Jevbridge
README states: ACP and MCP adapter that bridges TypeSafe Jev with any LLM.
根拠https://github.com/gamesonrblx/Jevbridge/blob/main/src/types.ts#L111
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gbh1234/Adaptive-rag
README states: INTENT_BACKEND=jev
根拠https://github.com/gbh1234/Adaptive-rag/blob/main/README.md#L83
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genspark-ai/genoffice
README states: Six apps, one AI panel, a file search reranked by TypeSafe Jev, an Ask AI
根拠https://github.com/genspark-ai/genoffice/blob/main/apps/shell/src/main/file-index/decider.ts#L52
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get-convex/convex-evals
README states: bun run decisions dry-run --provider openrouter --model typesafe/jev-1.13 --limit-evals 2
根拠https://github.com/get-convex/convex-evals/blob/main/README.md#L44
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GhalebDweikat/winnow
README states: winnow replay score --judged ~/.winnow/replay/judged-typesafe.jsonl
根拠https://github.com/GhalebDweikat/winnow/blob/main/sidecar/src/winnow/hooks.py#L282
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GhrezaKh74/JevTicktRouter
README states: Structured support-ticket triage built on .NET 10 and React 19, using TypeSafe Jev to make
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gi-dellav/hsom
README states: hsom* is a strict-allowlist harness. environment.toml defines which shell commands Jev (the TypeSafe System One classifier) may select. In one step, Jev picks: command → subcommand → flags (boolean or valued) → path slot
根拠https://github.com/gi-dellav/hsom/blob/main/README.md#L5
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githubnext/localjev
README states: A local, Jev-compatible POST /v1/systemone API written in TypeScript for
根拠https://github.com/githubnext/localjev/blob/main/src/server.ts#L19
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Godefroy/micdrop
README states: @micdrop/typesafe - Jev, the System One model of TypeSafe, classifying each turn of the user into typed decisions in a few hundred ms
根拠https://github.com/Godefroy/micdrop/blob/main/README.md#L27
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GodsBoy/jev-agent-skill-router
README states:
根拠https://github.com/GodsBoy/jev-agent-skill-router/blob/main/src/jev_router/transport.py#L12
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gopaljigaur/decide
README states: them through one API: TypeSafe's hosted Jev, OpenRouter, OpenAI's Decisions
根拠https://github.com/gopaljigaur/decide/blob/main/decide/backends/typesafe.py#L20
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Govcraft/emergent
README states: Judgment as a Pipeline Step: jev-handler
根拠https://github.com/Govcraft/emergent/blob/main/README.md#L161
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gtaras7/typesafe-jev
README states: A local screening workbench for a folder of CVs, built on TypeSafe's Jev model. Point it at one CV or
根拠https://github.com/gtaras7/typesafe-jev/blob/main/cv-screen/src/cli.ts#L97
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GuSheng107/helpme-Jev
README states: JEV decides. LLM explains. You decide.
根拠https://github.com/GuSheng107/helpme-Jev/blob/main/README.md#L55
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hamgua/alpha-trading-bot-okx
README states: Jev 快车道(TypeSafe System One)
根拠https://github.com/hamgua/alpha-trading-bot-okx/blob/main/README.md#L361
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harlan-zw/harlan-agent-kit
README states: api.typesafe.ai or the Vercel AI Gateway.
根拠https://github.com/harlan-zw/harlan-agent-kit/blob/main/packages/advocaat/README.md#L9
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haseeb-heaven/jev-system-one
README states: A polished terminal interface where OpenAI generates useful answers and TypeSafe Jev independently evaluates their relevance, reliability, and quality.
根拠https://github.com/haseeb-heaven/jev-system-one/blob/master/src/jev_system_one/jev.py#L3
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hatt-io/jevkeep
README states: Before compaction, JevKeep reads the conversation and asks Jev, a relevance-scoring model accessed through the Typesafe API, which excerpts still matter to the current task.
根拠https://github.com/hatt-io/jevkeep/blob/main/README.md#L17
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hellogumbo/should-ai-kill-us-all
README states: We ask Jev, TypeSafe AI's System One model, whether AI should kill us all. Every ten minutes. Using the actual headlines.
根拠https://github.com/hellogumbo/should-ai-kill-us-all/blob/main/functions/api/verdict.js#L10
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hellozenstrategist-lab/eutrya
README states: A standalone terminal agent with Jev in its decision loop.
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hemanth/is-lesion
README states: jev — TypeSafe System One (jev-1.14.0) with 1 Hugging Face visual reference exemplar per class (noul + choice + score + box)
根拠https://github.com/hemanth/is-lesion/blob/main/README.md#L48
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hev/reranker
README states: nDCG@10, every system permuting the same BM25 top-30 shortlist per query. Jev uses the
根拠https://github.com/hev/reranker/blob/main/hev_rerank/rerank.py#L18
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heyjunpenn/awesome-jev
README states: | openai-scala-client | ★ 249 | Scala | 2026-09-23 | Scala client module for TypeSafe System One that submits Jev Noul, Choice, and Score questions and returns typed answers. |
根拠https://github.com/heyjunpenn/awesome-jev/blob/main/README.md#L80
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HorusJiang/dsh-jev-tools
README states: 一个 DeepSeek Harness 插件:把 Jev 接进长会话,在工具结果进入上下文之前做判定。
根拠https://github.com/HorusJiang/dsh-jev-tools/blob/main/README.md#L18
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hotchpotch/jev-reranker
README states: | model | Explicit value → JEV_MODEL (environment/.env) → jev-latest |
根拠https://github.com/hotchpotch/jev-reranker/blob/main/README.md#L434
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hraness/algal
README states: or reuse a TypeSafe key. doctor --clef checks configuration without an API
根拠https://github.com/hraness/algal/blob/main/README.md#L895
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hunkim/solar-mini4-jev
README states: A drop-in wrapper that exposes Upstage Solar Pro4 (default; solar-mini4 optional) through the TypeSafe Jev System One API shape.
根拠https://github.com/hunkim/solar-mini4-jev/blob/main/engine.py#L158
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huntedman/JevLint
README states: JevLint is powered by Jev, TypeSafe AI’s System One model. It sends selected source
根拠https://github.com/huntedman/JevLint/blob/main/src/jev-client.ts#L52
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HyunjunJeon/jev-judgment
README states: TypeSafe Jev and acts on the probabilities. The
根拠https://github.com/HyunjunJeon/jev-judgment/blob/main/README.md#L6
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iamjonatha/decisionkit-dotnet
README states: A strongly typed, provider-independent decision engine for .NET, with TypeSafe JEV support.
根拠https://github.com/iamjonatha/decisionkit-dotnet/blob/main/README.md#L3
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iamtoomas/JevLint
README states: JevLint is powered by Jev, TypeSafe AI’s System One model. It sends selected source
根拠https://github.com/iamtoomas/JevLint/blob/main/src/jev-client.ts#L52
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IAmUnbounded/save-token-jev-clean
README states: | TYPESAFE_API_KEY | required unless stored in the macOS Keychain (CLI and library only) | TypeSafe/Jev API key |
根拠https://github.com/IAmUnbounded/save-token-jev-clean/blob/main/README.md#L185
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iamvatsalpatel/tiershift
README states: The judgment comes from TypeSafe Jev , a calibrated decision model. About 180 ms. Four cents per thousand routes.
根拠https://github.com/iamvatsalpatel/tiershift/blob/main/bench/experiments/gate-experiment.ts#L10
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iefnaf/pi-jev
README states:
根拠https://github.com/iefnaf/pi-jev/blob/main/README.md#L9
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ielab/llm-rankers
README states: : New experiments with Jev (TypeSafe AI's non-generative "System One" model) as a pointwise / pairwise / setwise / listwise reranker, including all 100 candidates in a single request. Check out the jev folder for results
根拠https://github.com/ielab/llm-rankers/blob/main/README.md#L7
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ilyamk/jev-gmail-ai-spam-filter-and-labeling
README states: Semantic email classification powered by Jev, with confidence-aware automation,
根拠https://github.com/ilyamk/jev-gmail-ai-spam-filter-and-labeling/blob/main/README.md#L11
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InternLM/Intern-Decision
README states: Intern-Decision-4B reaches 90.02% average accuracy across seven suites (Jev: 88.74%),
根拠https://github.com/InternLM/Intern-Decision/blob/main/README.md#L97
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intikhab49/open-jev-typed-decision-engine
README states:
根拠https://github.com/intikhab49/open-jev-typed-decision-engine/blob/main/README.md#L3
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ipenywis/laya-ultrafast
README states: Hosted mode still works. Set DECISION_MODEL=typesafe to use the original Jev policy unchanged.
根拠https://github.com/ipenywis/laya-ultrafast/blob/main/laya_ultrafast/laya.py#L48
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ItIsCuthNotCup/MetaCog
README states: judge = SystemOneJudge.jev() # hosted; reads $TYPESAFE_API_KEY
根拠https://github.com/ItIsCuthNotCup/MetaCog/blob/main/README.md#L48
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itsmostafa/typesafe-mcp
README states: Give your AI agent direct access to models like TypeSafe Jev, Liquid AI d1, Cloudflare Clef, Respan Span-01, GPT-6 Luna Decisions, and Perplexity Decider Flash: quick decisions with real probabilities.
根拠https://github.com/itsmostafa/typesafe-mcp/blob/main/README.md#L10
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itsoltech/basal-rs
README states:
根拠https://github.com/itsoltech/basal-rs/blob/main/contracts/typesafe/README.md#L4
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j1s4nn/duomind
README states: Internet connection for setup and Jev API calls
根拠https://github.com/j1s4nn/duomind/blob/main/README.md#L111
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JamesANZ/us-legal-mcp
README states: JEV_MODEL – default jev-latest
根拠https://github.com/JamesANZ/us-legal-mcp/blob/main/README.md#L234
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jamesward/zio-typesafe-ai
README states: Jev / System One API — a "System One model" that answers typed, atomic
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JanOstrowka/typesafe-assist
README states:
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jaredpalmer/kev
README states: Small Jev-like decision models you can train and run yourself.
根拠https://github.com/jaredpalmer/kev/blob/main/README.md#L3
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jarrodwatts/jev-trader
README states: With no PRIVATE_KEY it dry-runs: real book, real decisions, simulated fills. Set MODEL=jev and TYPESAFE_AI_API_KEY to use Jev; the default mock is a momentum heuristic stand-in.
根拠https://github.com/jarrodwatts/jev-trader/blob/main/src/model.ts#L2
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jccrump/openbot
README states: Google, Mistral, or a local model through Ollama or LM Studio. An optional Jev
根拠https://github.com/jccrump/openbot/blob/main/README.md#L7
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jcpsimmons/jev-macos-loop
README states: Read https://raw.githubusercontent.com/jcpsimmons/jev-macos-loop/master/AGENTS.md
根拠https://github.com/jcpsimmons/jev-macos-loop/blob/master/src/providers.mjs#L17
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JedimEmO/typesafe-client
README states: endorsed by, or supported by TypeSafe AI. For the API itself, see the
根拠https://github.com/JedimEmO/typesafe-client/blob/main/crates/typesafe-client/src/answer.rs#L405
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jerryfane/omp-jev-compaction
README states: TypeSafe's Jev decision model, over either the TypeSafe API or OpenRouter.
根拠https://github.com/jerryfane/omp-jev-compaction/blob/master/src/asker.ts#L21
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jev-chat/jev-chat-windows
README states: 判断 · Jev —— 判断意图、紧张度,并给三条候选排序。来源选 OpenRouter(默认,key 在
根拠https://github.com/jev-chat/jev-chat-windows/blob/main/README.md#L47
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jhd3197/Prompture
README states: driver = get_decision_driver_for_model("typesafe/jev-latest")
根拠https://github.com/jhd3197/Prompture/blob/main/prompture/drivers/kev_decision_driver.py#L4
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jkudish/jev-mcp
README states: Jev is TypeSafe's System One model: it returns typed answers with calibrated probability distributions, not generated text. A verify call is a Choice over supports / contradicts / says_nothing, so you see the whole distr
根拠https://github.com/jkudish/jev-mcp/blob/main/README.md#L733
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jmanhype/jev-dspy-lab
README states: and other callers that use TypeSafe decisions inside DSPy-style pipelines.
根拠https://github.com/jmanhype/jev-dspy-lab/blob/main/scripts/verify_integration.py#L41
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joelhooks/pi-fast-jev-compaction
README states: Sends a compact representation of tool calls and surrounding conversation to TypeSafe's /v1/systemone endpoint.
根拠https://github.com/joelhooks/pi-fast-jev-compaction/blob/main/src/core/request.ts#L8
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jomatsu/pi-jev-auto-mode
README states: decision models, with Jev (TypeSafe System One) as the default. OpenAI Decisions,
根拠https://github.com/jomatsu/pi-jev-auto-mode/blob/main/src/jev/engine.ts#L95
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jomatsu/zod-jev
README states: A single parseAsync call sends every rule of that schema to Jev in a single request, then turns
根拠https://github.com/jomatsu/zod-jev/blob/main/scripts/check-package.mjs#L35
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jonathanavis96/jev-kit
README states: What is Jev, and why a kit
根拠https://github.com/jonathanavis96/jev-kit/blob/main/README.md#L39
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jozefRudy/job_search
README states: Optional; omit either key to use the default (https://api.typesafe.ai, jev-latest).
根拠https://github.com/jozefRudy/job_search/blob/main/README.md#L52
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jucelioalencar/linearmemory
README states: Contracts: OpenAI Decisions and TypeSafe System One. Settings are available at GET/PUT /api/settings/search-filter; existing search snapshots are returned by GET /api/search-results/:eventId without rerunning retrieval.
根拠https://github.com/jucelioalencar/linearmemory/blob/main/README.md#L175
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jujumilk3/jev-calibration-audit
README states: An independent, API-only audit of the calibration of TypeSafe AI's Jev, a
根拠https://github.com/jujumilk3/jev-calibration-audit/blob/main/src/jev_audit/client.py#L12
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justinhe16/trade-jev
README states: Run: a backtest that calls Jev and stores its answers and trades in runs/ /. It's the only step that costs money.
根拠https://github.com/justinhe16/trade-jev/blob/main/src/trade_jev/live.py#L993
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jxucoder/mimicry
README states: and TypeSafe; requests and responses are saved locally under ignored
根拠https://github.com/jxucoder/mimicry/blob/master/README.md#L37
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kavehmz/typesafe-playground
README states: Small, interactive experiments with TypeSafe Jev: from understanding a support message to making decisions for a car in a 3D world.
根拠https://github.com/kavehmz/typesafe-playground/blob/main/demo01/server.mjs#L67
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keltokhy/jgrep
README states: Each line becomes one yes/no question to Jev, TypeSafe's decision
根拠https://github.com/keltokhy/jgrep/blob/main/README.md#L16
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kesku/jev-freeform
README states: Can TypeSafe Jev Choice generate text through successive typed decisions? Well I tried it
根拠https://github.com/kesku/jev-freeform/blob/main/main.mjs#L172
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kevinbadi/jev-voice
README states: Everything runs locally except one ~250 ms call to Jev (TypeSafe's System One
根拠https://github.com/kevinbadi/jev-voice/blob/main/jev_voice/brain.py#L174
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Kevthetech143/super-jev
README states: One judge sits between your agent and your data: the agent asks in its own words, Jev finds the file, checks the claim, permits the action, and remembers what you approved. Your agent stays responsible for the answer.
根拠https://github.com/Kevthetech143/super-jev/blob/main/README.md#L9
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kieranklaassen/ruby_llm-typesafe
README states: Both register a provider named :typesafe, so don't load both. When you upgrade, remove ruby_llm-typesafe from your Gemfile and use RubyLLM's built-in provider.
根拠https://github.com/kieranklaassen/ruby_llm-typesafe/blob/main/README.md#L11
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KiritoKing/midscene-jev-runner
README states: The default is TypeSafe System One: POST https://api.typesafe.ai/v1/systemone
根拠https://github.com/KiritoKing/midscene-jev-runner/blob/main/README.md#L66
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klauswg/jev-guard
README states: Real-time risk triage gateway for crypto exchange deposits & withdrawals — Jev (TypeSafe System One) as the triage layer, deterministic code as the judge.
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klauswg/jev-suite
README states: Four decision-quality tools built on Jev (TypeSafe System One), one shared kernel — Jev answers structured questions; deterministic code keeps the final say.
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knowlet/jevlens
README states: Manifest V3 Chrome extension for annotating articles, X/Twitter posts, and Threads posts with typed Jev / System One decisions.
根拠https://github.com/knowlet/jevlens/blob/master/extension/lib/jev.js#L4
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kouhxp/gutsy
README states: network calls, no per-call cost. The API follows the Jev-style Decisions format, so existing clients
根拠https://github.com/kouhxp/gutsy/blob/main/gutsy-inference/gutsy_inference/server.py#L21
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kraayenjon/awesome-jev
README states:
根拠https://github.com/kraayenjon/awesome-jev/blob/main/README.md#L2
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kshetrajna12/reflex
README states: the "System One" model TypeSafe released in September 2026, built on top of a normal
根拠https://github.com/kshetrajna12/reflex/blob/main/scripts/bench_latency.py#L6
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kyegomez/open-jev
README states: System One Models and Jev
根拠https://github.com/kyegomez/open-jev/blob/main/README.md#L161
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kyu1204/jgrep
README states: jgrep runs on Jev, through TypeSafe or
根拠https://github.com/kyu1204/jgrep/blob/main/README.md#L41
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kyu1204/oh-my-harness
README states: --preset always wins and never calls Jev. No key and no LLM provider? omh init "description" falls back to safe and says so.
根拠https://github.com/kyu1204/oh-my-harness/blob/main/src/catalog/blocks/semantic-rule-guard.ts#L68
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lakeday-org/perch
README states: export PERCH_BASE_URL=https://api.typesafe.ai/v1/systemone
根拠https://github.com/lakeday-org/perch/blob/main/.benchmarks/reviewbench/run.mjs#L15
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lhotwll217/jev-cli
README states: JSON in, typed decisions out. A thin CLI over the TypeSafe System One API
根拠https://github.com/lhotwll217/jev-cli/blob/main/src/client.ts#L25
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Li-Evan/awesome-jev
README states: http4k TypeSafe connector - TypeSafe connector for the http4k Kotlin toolkit with a typed System One client and a fake, exposing Jev Noul, Choice and Score questions as http4k actions.
根拠https://github.com/Li-Evan/awesome-jev/blob/main/README.md#L468
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libingzheren/Jev-Mem
README states: Jev-Mem separates the frequent decisions of memory management from the deeper
根拠https://github.com/libingzheren/Jev-Mem/blob/main/memory/jev_client.py#L23
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liu-x27/XavierJev
README states: TypeSafe: nothing here calls the Jev API, and nothing was trained on its output.
根拠https://github.com/liu-x27/XavierJev/blob/main/eval/decision-models/run.ts#L177
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liuyanghejerry/Clausura
README states: model: jev-latest # Default. Decision model id.
根拠https://github.com/liuyanghejerry/Clausura/blob/main/README.md#L330
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luisleo526/doc2mark
README states: TypeSafe's Jev can be asked about the cases they leave open (is this
根拠https://github.com/luisleo526/doc2mark/blob/main/README.md#L23
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lykycy123/RoboJEV
README states: Two-stage JEV control of a Franka Panda in MuJoCo. Measured simulator state → task intent → Cartesian motion and gripper commands.
根拠https://github.com/lykycy123/RoboJEV/blob/main/src/jev_vla_sim/config.py#L27
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lyramakesmusic/jevbot
README states: Completeness judge: A separate noul question asks "is the reply complete?" — jev stops when it thinks it's done
根拠https://github.com/lyramakesmusic/jevbot/blob/master/README.md#L11
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maayanlevy/mysql-ailike
README states: Requires a TypeSafe API key. Note: evaluated values and prompts are
根拠https://github.com/maayanlevy/mysql-ailike/blob/main/src/typesafe.h#L16
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madisonrickert/jev-permission-gate
README states: A shell-aware blocklist sits in front of Jev. A call it flags can still be denied by Jev but is never allowed, and a call that carries a secret never leaves your machine.
根拠https://github.com/madisonrickert/jev-permission-gate/blob/main/hooks/register.ts#L25
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MahmoudAdelbghany/jev-browser
README states: one Jev call (parallel questions, ~300 ms, no LLM tokens)
根拠https://github.com/MahmoudAdelbghany/jev-browser/blob/main/src/jev.mjs#L1
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mahynotch/newsscore
README states: News sentiment scoring for stocks, powered by TypeSafe Jev by default. Mainstream financial news APIs go in, a pluggable
根拠https://github.com/mahynotch/newsscore/blob/main/src/newsscore/scoring/jev.py#L416
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maker-KK/todo-jev
README states: A task-routing experiment powered by TypeSafe Jev, structured skill profiles, and basic environment checks.
根拠https://github.com/maker-KK/todo-jev/blob/main/app/classifier.py#L14
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malDuffin/typesafe-3d-chess
README states: D chess powered by TypeSafe AI (Jev). AI vs AI by default, or play either side. Multiple difficulty levels.
根拠https://github.com/malDuffin/typesafe-3d-chess/blob/main/README.md#L2
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mandu5/jevcompat
README states: About a hundred servers say they are "Jev-compatible". Nothing said what that means. Now something does.
根拠https://github.com/mandu5/jevcompat/blob/main/README.md#L3
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manifoldor/xtags
README states: 页面文本会发送到所选 API 服务(默认 TypeSafe) 做判断——这是它工作的必要部分。发送的是帖子正文和作者 handle;折叠长推文会发送 X 页面数据中已有的全文,即使你尚未点击展开。
根拠https://github.com/manifoldor/xtags/blob/main/extension/service.js#L3
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marcreichel/laya-php
README states: curl -fsSL https://api.typesafe.ai/openapi.json -o openapi.json
根拠https://github.com/marcreichel/laya-php/blob/main/src/Laya.php#L197
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MarissaFamularo/citation-verifier
README states: supports the sentence, and Jev's confidence in its own call. A probability
根拠https://github.com/MarissaFamularo/citation-verifier/blob/main/README.md#L34
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markjaquith/typesafe-ai-playground
README states: The experiments live in a Rust CLI called typesafe-ai, built with
根拠https://github.com/markjaquith/typesafe-ai-playground/blob/main/src/typesafe.rs#L57
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MartinPuli/f1
README states: The engine and experiment scripts remain in the repository. The published interface only plays recorded races; it has no creation or admin screen. Replays use saved decisions and frames without calling TypeSafe.
根拠https://github.com/MartinPuli/f1/blob/main/scripts/refine-prompts.mjs#L55
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mattn/go-jev
README states: text. Comes with jev-cli, a command-line tool built on it for UNIX pipelines.
根拠https://github.com/mattn/go-jev/blob/main/jev.go#L19
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mejiasd3v/pi-jev-router
README states:
根拠https://github.com/mejiasd3v/pi-jev-router/blob/main/index.ts#L407
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memos-im/xianyu-slang-helper
README states: 追加 --ai-review 可用 TypeSafe System One 判别模型(Jev;自托管 DiffusionGemma 同 API)剔除上游的"模板化噪音"变体:每个候选变体问一个 Noul(是/否)问题,取概率 ≥ 阈值判为噪音,不生成文本、无解析、返回校准概率。未配置 key 时自动降级跳过,不阻断同步。
根拠https://github.com/memos-im/xianyu-slang-helper/blob/main/README.md#L147
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Micha0827/snapjudge
README states: The HTTP API follows the TypeSafe System One format
根拠https://github.com/Micha0827/snapjudge/blob/main/README.md#L7
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misbahsy/doc-router
README states: Jev (TypeSafe System One) — the page judge. Given the
根拠https://github.com/misbahsy/doc-router/blob/main/README.md#L36
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mithalouni/system-one-open
README states: Base URL: https://mithalouni--jev-serve-e2b-full-server-web.modal.run (scales to zero; first request after idle takes ~60 s).
根拠https://github.com/mithalouni/system-one-open/blob/main/README.md#L31
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mizchi/jev-lint
README states: export TYPESAFE_API_KEY=... # https://typesafe.ai
根拠https://github.com/mizchi/jev-lint/blob/main/src/clef.ts#L54
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mizchi/jev-test-filter
README states: jev-test-filter reads a git diff, asks a model how much that change can
根拠https://github.com/mizchi/jev-test-filter/blob/main/src/jev.ts#L26
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mkotlikov/jev-grug
README states: The demo now connects to the real Jev API when TYPESAFE_API_KEY is configured. Without a key it falls back to a deterministic mock, so contributors can still run the interface immediately.
根拠https://github.com/mkotlikov/jev-grug/blob/main/app/api/chat/route.ts#L30
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mmastrac/djev
README states: POST /v1/systemone implements the Jev decision API. The body holds
根拠https://github.com/mmastrac/djev/blob/main/structured_server.py#L2014
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mmastrac/djev-spark
README states: it implements Jev's POST /v1/systemone API and passes ordinary chat through
根拠https://github.com/mmastrac/djev-spark/blob/main/scripts/long-context-probe.py#L35
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mohsen1/llm-debugger-vscode-extension
README states: Each step's "what next?" is answered by Jev, a
根拠https://github.com/mohsen1/llm-debugger-vscode-extension/blob/main/README.md#L7
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morganlinton/Albatross
README states: Jev Mode puts TypeSafe AI's decision model before the main LLM. Supported questions
根拠https://github.com/morganlinton/Albatross/blob/main/src/jev.rs#L13
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moritzkremb/jev-voice-browser
README states: the server asks Jev (TypeSafe's System One model, jev-1.13.0) one request with a dozen typed
根拠https://github.com/moritzkremb/jev-voice-browser/blob/main/src/jev.js#L7
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mossyfield/ST-jeved
README states: Jeved is a SillyTavern extension. It sends chat messages to Jev, a small decision model, with
根拠https://github.com/mossyfield/ST-jeved/blob/main/src/classifier.js#L22
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mrbanana55/Decision_Blackjack
README states: Jev (Remote Cloud AI via TypeSafe System One)
根拠https://github.com/mrbanana55/Decision_Blackjack/blob/main/README.md#L8
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mrmps/classifier-dev
README states: Both tiers answer from TypeSafe's Jev, a decision
根拠https://github.com/mrmps/classifier-dev/blob/main/README.md#L128
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n42blockchain/N42-rs
README states: 用户在页面确认费用并提交,页面展示 requestId。运营方建立 job.json,包含下方字段,运行 TYPESAFE_API_KEY=... N42_DECISION_SIGNING_KEY=... cargo run -p n42-decision-relay -- evaluate job.json ./archive > result.json。TYPESAFE_API_URL 默认官方 https://api.typesa
根拠https://github.com/n42blockchain/N42-rs/blob/main/ddn/docs/decision/README.md#L44
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Nainish-Rai/jev-frontend-qa
README states: Bounded Jev decisions: typed operation/target choices over observed controls; exact fixture values and correctness checks remain in code.
根拠https://github.com/Nainish-Rai/jev-frontend-qa/blob/main/src/jev_frontend_qa/core/model_client.py#L3
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Nancy-Chauhan/hearth-jev-rental-search
README states: A TypeSafe API key. A search costs a fraction of a cent
根拠https://github.com/Nancy-Chauhan/hearth-jev-rental-search/blob/main/README.md#L18
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NandhaKishorM/laya
README states: wire protocol as TypeSafe's hosted Jev API. Laya's answer payload is already
根拠https://github.com/NandhaKishorM/laya/blob/main/laya-dotnet/tools/bench_python.py#L191
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Nasrallah-AL/jev-cli
README states: Fast, typed AI judgments from the command line, powered by TypeSafe's Jev model.
根拠https://github.com/Nasrallah-AL/jev-cli/blob/main/README.md#L8
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nassim-arifette/jevgrep
README states: authorized repository, asks Jev to score all eligible fragments, then returns the
根拠https://github.com/nassim-arifette/jevgrep/blob/main/experiments/jev-contract/offline-worker.mjs#L4
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ndolinschi/harnessjudge
README states: After an agent step (paste a trace) → ok / retry / escalate / stop — for agent builders, powered by TypeSafe Jev.
根拠https://github.com/ndolinschi/harnessjudge/blob/main/src/app/api/decide/route.ts#L7
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ndolinschi/pulselane
README states: Clinic triage decisions powered by TypeSafe Jev (System One).
根拠https://github.com/ndolinschi/pulselane/blob/main/src/app/api/decide/route.ts#L9
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ndolinschi/toolgate
README states: Agent tool/MCP call gate — paste a planned tool call + context → allow / ask_human / deny with risk scores via TypeSafe Jev.
根拠https://github.com/ndolinschi/toolgate/blob/main/src/app/api/decide/route.ts#L9
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newfull5/malkuth
README states: suites and about 129,000 questions. Every model answered the same items. Jev was measured through its API.
根拠https://github.com/newfull5/malkuth/blob/main/tools/laya_bench.py#L27
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NiazMorshed2007/jev-review
README states: Your API key stays on your machine. Jev Review has no hosted backend, database, telemetry service, or author-operated proxy. The only remote request is sent directly to the configured Jev API.
根拠https://github.com/NiazMorshed2007/jev-review/blob/main/src/jev/client.ts#L4
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nican2018/shade-arena-jev-monitor
README states: Strong per-action gate. Scoring each tool call before it runs, Jev ranked sabotage above almost all benign actions. Gemini Flash's scores piled up at 0 and 100.
根拠https://github.com/nican2018/shade-arena-jev-monitor/blob/main/llms/typesafe_llm.py#L20
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nicobailon/pi-powerline-footer
README states: When the agent is working, Enter sends your message as steering and Alt+Enter queues it as a follow-up. Set autoFollowUp under powerline to let TypeSafe's Jev make that call for plain Enter:
根拠https://github.com/nicobailon/pi-powerline-footer/blob/main/README.md#L329
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nicobailon/surf-cli
README states: --allow-semantic - Opt in to bounded model decisions for a semantic workflow (model from SURF_SEMANTIC_MODEL, default jev-1.13.0; extract steps always use clairic with Cloudflare credentials)
根拠https://github.com/nicobailon/surf-cli/blob/main/native/semantic-cli.cjs#L632
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nidhi-singh02/agent-router
README states: shared accounts), asks TypeSafe to rank what is left and choose an effort, starts the chosen
根拠https://github.com/nidhi-singh02/agent-router/blob/main/packages/router/src/commands/effort.ts#L264
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Nisaka520/JevIntent
README states: POST https://api.typesafe.ai/v1/systemone:
根拠https://github.com/Nisaka520/JevIntent/blob/main/README.md#L232
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NobleSpartan6/otto
README states: In Hybrid mode, GPT-6 Astra provides a plan and generated text when needed. Jev chooses concrete actions between planning calls.
根拠https://github.com/NobleSpartan6/otto/blob/main/core/typesafe.ts#L4
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noetion/dsh-jev
README states: dsh-jev is a DeepSeek Harness bundle that registers the jev_ask tool. A DSH agent on a profile that loads it can send typed noul, choice, and score questions to TypeSafe Jev.
根拠https://github.com/noetion/dsh-jev/blob/main/src/client.ts#L10
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NorbertBodziony/guard-jev
README states: Text moderation demo: one TypeSafe systemOne call screens 7 Noul hazards + 1 severity Score in parallel. Verdict computed in code via policy thresholds.
根拠https://github.com/NorbertBodziony/guard-jev/blob/main/app/api/moderate/route.ts#L2
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notque/vexjoy-agent
README states: /d — Jev-Powered Router
根拠https://github.com/notque/vexjoy-agent/blob/main/README.md#L44
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ntedvs/commentcop
README states: Use --dry-run to preview what it finds without calling Jev. Add exclusions with --ignore or a .commentcopignore file. --help has the rest.
根拠https://github.com/ntedvs/commentcop/blob/main/src/judge.ts#L1
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Nyarlathoteppppp/pi-heed
README states: messages, 9,090 real tool calls) through pi-heed in enforce mode with Jev, without executing anything
根拠https://github.com/Nyarlathoteppppp/pi-heed/blob/main/src/judge.ts#L53
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obie/ruby_decision_model
README states: Requests go to https://api.typesafe.ai/v1/systemone. The default model is
根拠https://github.com/obie/ruby_decision_model/blob/main/README.md#L85
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oficcejo/aiagents-stock
README states: Key 申请:https://console.typesafe.ai | 完整说明:TypeSafe Jev决策引擎接入说明
根拠https://github.com/oficcejo/aiagents-stock/blob/main/README.md#L170
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ojusave/beat-jev
README states: A penalty shootout against TypeSafe Jev. Take turns shooting and keeping goal. One Render Workflows task owns the match, with scores saved in Render Postgres.
根拠https://github.com/ojusave/beat-jev/blob/main/python/app/keeper.py#L2
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Olli0103/openclaw-typesafe-ai
README states: Jev returns decisions over predefined answer spaces. It does not generate conversation, prose or code. This package therefore registers a tool and no model provider, model picker entry, hook or background service.
根拠https://github.com/Olli0103/openclaw-typesafe-ai/blob/main/src/client.ts#L4
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olsenbrands/fable-foreman
README states: Jev, from TypeSafe AI, is a decision model rather than a chatbot. It answers narrow yes/no, pick-one and score questions in under a second, for about 0.02 cents a call. Fable Foreman uses it to point the lead's attention
根拠https://github.com/olsenbrands/fable-foreman/blob/main/README.md#L11
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OmniJev/OneJev
README states:
根拠https://github.com/OmniJev/OneJev/blob/main/qev/cli.py#L143
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ondata/vd-jev
README states: Ask three questions about the message column, one jev-column each:
根拠https://github.com/ondata/vd-jev/blob/main/README.md#L55
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onlyoneaman/jev-eval
README states: Jev is a model that does not write text. You give it some text and a question with fixed answers, and it gives back a probability for each answer. One call looks like this:
根拠https://github.com/onlyoneaman/jev-eval/blob/main/jev_eval/backends.py#L16
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opencx-labs/zevals
README states: Jev is reachable through several gateways, and each names the same yes/no question differently. Three clients are bundled, all of them plain fetch with no extra dependencies:
根拠https://github.com/opencx-labs/zevals/blob/main/README.md#L273
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openlayer-ai/jevals
README states: export AI_GATEWAY_API_KEY=... # Jev through Vercel AI Gateway. TYPESAFE_API_KEY and OPENROUTER_API_KEY also work.
根拠https://github.com/openlayer-ai/jevals/blob/main/src/jevals/backends/_base.py#L65
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OskarLebuda/precog
README states: Asks TypeSafe Jev which link a visitor is about to click, then warms
根拠https://github.com/OskarLebuda/precog/blob/main/README.md#L19
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oso95/x-scanner
README states: Behavioral labels on every post you scroll past on X, judged by Jev,
根拠https://github.com/oso95/x-scanner/blob/main/README.md#L3
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PanAchy/jevvy
README states: Custom endpoints use Jevvy's default approval policy unless you replace it. Its calibration evidence applies only when the route is verified to serve the calibrated Jev model.
根拠https://github.com/PanAchy/jevvy/blob/main/packages/core/src/system-one.ts#L12
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pavy23/web-doom
README states: Tactical policy (TypeSafe System One, Jev). At each step with an enemy
根拠https://github.com/pavy23/web-doom/blob/main/README.md#L288
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pengchujin/ad-radar
README states: 智能识别:用你自己的 Jev API key,识别广告(硬广 / 软广 / 引流)和你选择的话题(AI、科技、军事、政治、性别对立、色情低俗、明星八卦、炒股理财、体育、游戏,也可以自己添加),标在内容旁边或折叠起来;还能估计内容由 AI 生成的比例。
根拠https://github.com/pengchujin/ad-radar/blob/main/README.md#L6
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PerryLink/jevcore
README states: TypeSafe Jev for DeepSeek Harness
根拠https://github.com/PerryLink/jevcore/blob/main/README.md#L8
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peterfriese/system-one-foundation-models
README states: Jev Cloud: TypeSafe AI hosted service on https://api.typesafe.ai.
根拠https://github.com/peterfriese/system-one-foundation-models/blob/main/README.md#L364
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philippdubach/pi-jev-router
README states: pi-jev-router is a pi extension. It classifies each task with Jev (TypeSafe
根拠https://github.com/philippdubach/pi-jev-router/blob/main/src/classifier.ts#L13
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picaye/jev-compaction
README states: Jev judges to be stale, and it shows Jev the whole conversation while deciding.
根拠https://github.com/picaye/jev-compaction/blob/main/README.md#L19
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PistachioAIHQ/jev-synergy-screening
README states: export TYPESAFE_API_KEY="$(tr -d ' ' < ~/.config/typesafe/api_key)"
根拠https://github.com/PistachioAIHQ/jev-synergy-screening/blob/main/src/config.py#L43
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pithings/advocaat
README states: Requests use https://ai-gateway.vercel.sh/v4/ai and model typesafe-ai/jev.
根拠https://github.com/pithings/advocaat/blob/main/src/api.ts#L127
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PixelML/av
README states: Configure a TypeSafe System One key to make Jev refinement automatic for av ask:
根拠https://github.com/PixelML/av/blob/main/README.md#L35
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pnthn-ai/polar_llama
README states: TypeSafe System One: A native Rust inference layer for the TypeSafe API — typed, calibrated yes/no, choice and score questions answered per row, or one Pydantic contract applied to every line of a document in a single re
根拠https://github.com/pnthn-ai/polar_llama/blob/main/README.md#L22
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PromptEngineer48/laya-vs-jev-arena
README states: docker run -d --name arena --restart unless-stopped -p 80:8732 --cpus 1 --memory 512m -e TYPESAFE_API_KEY=your_key_here ghcr.io/promptengineer48/laya-vs-jev-arena:latest
根拠https://github.com/PromptEngineer48/laya-vs-jev-arena/blob/main/server.py#L29
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psyb0t/aigate
README states: | decidealot _(optional, DECIDEALOT=1 and/or DECIDEALOT_CUDA=1)_ | Typed decisions with local Laya, Von, CLM, and hosted TypeSafe Jev over the TypeSafe System One API. POST /v1/systemone takes a model selector, a state,
根拠https://github.com/psyb0t/aigate/blob/main/README.md#L179
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PyModel/jev-judge-mcp
README states: uvx --from 'jev-judge-mcp[typesafe]' jev-judge-mcp setup
根拠https://github.com/PyModel/jev-judge-mcp/blob/main/evals/confinement/broker.py#L16
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qddegtya/qualm
README states: Jev is the model. This is what qualm adds on top of calling its HTTP API yourself.
根拠https://github.com/qddegtya/qualm/blob/main/README.md#L25
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qkal/Canny
README states: Jev
根拠https://github.com/qkal/Canny/blob/main/README.md#L155
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QuentinDanblon/pi-fast-jev-compaction
README states: anything. It asks Jev, over the whole conversation, whether each old tool call and each
根拠https://github.com/QuentinDanblon/pi-fast-jev-compaction/blob/main/index.ts#L206
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Query-farm/vgi-typesafe
README states:
根拠https://github.com/Query-farm/vgi-typesafe/blob/main/vgi_typesafe/mock_server.py#L39
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r-ms/mini-jev
README states: What a Jev-style interface looks like on a frozen model: classify against a schema that arrives with the request by reading next-token logits, not by generating JSON. Measured on Qwen3-4B.
根拠https://github.com/r-ms/mini-jev/blob/main/README.md#L3
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RafalWilinski/vibecheck
README states: A Chrome and Firefox extension that runs your draft post through TypeSafe's Jev before you hit Post. It renders a scorecard under the composer with virality, funniness, informativeness, clarity, insult level, ragebait, c
根拠https://github.com/RafalWilinski/vibecheck/blob/main/README.md#L3
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rajivkuriakose/typesafe-jev-examples
README states: TypeSafe's direct API is behind an early-access waitlist. OpenRouter serves the
根拠https://github.com/rajivkuriakose/typesafe-jev-examples/blob/main/src/jevx/client.py#L17
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ranjan2829/AskJev
README states: Talk to Claude in plain English. AskJev drives Brave/Chrome. TypeSafe Jev decides on-page. Guard freezes irreversible clicks.
根拠https://github.com/ranjan2829/AskJev/blob/main/mcp/src/jev-client.ts#L16
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RayenMlayeh/jevcrawl
README states: | TYPESAFE_API_KEY | Jev API key (required) | none |
根拠https://github.com/RayenMlayeh/jevcrawl/blob/main/README.md#L202
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rbalch/typesafeai-review
README states: slices the diff, asks Jev (TypeSafe's System One model) narrow typed questions per hunk,
根拠https://github.com/rbalch/typesafeai-review/blob/master/README.md#L4
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rchovatiya88/cyber-breach-jev
README states: An infinite 3D arcade cyberpunk arena shooter built with Three.js and powered by Jev—the sub-100ms "System One" decision model developed by TypeSafe AI (released September 2026).
根拠https://github.com/rchovatiya88/cyber-breach-jev/blob/main/backend/bot_pilot.py#L50
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reachjalil/jevlogs
README states:
根拠https://github.com/reachjalil/jevlogs/blob/main/README.md#L2
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ReallyArtificial/stuntdouble
README states: Find out whether a local decision model can replace Jev on your traffic before you switch.
根拠https://github.com/ReallyArtificial/stuntdouble/blob/main/sidecars/kev-space.mjs#L42
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realZachi/pg-jev
README states:
根拠https://github.com/realZachi/pg-jev/blob/master/README.md#L2
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realZachi/typesafe-adblock
README states: BYOK: bring your own key. There is no backend. You paste your own TypeSafe API key
根拠https://github.com/realZachi/typesafe-adblock/blob/main/src/typesafe.js#L5
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receptron/laya
README states: implementation (RLAgent.system_one) and as TypeSafe Jev's system_one API, and the output
根拠https://github.com/receptron/laya/blob/main/README.md#L15
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reinhard-z/vision-jev
README states: Move an object to ask Jev again. Drag it off the road or click its × to remove it.
根拠https://github.com/reinhard-z/vision-jev/blob/main/README.md#L24
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RenaGao/jev-dataops
README states: Screenshots show the repository's public demo running locally with its bundled synthetic example. The measurements demonstrate the workflow, not JEV screening quality or LLM performance.
根拠https://github.com/RenaGao/jev-dataops/blob/main/jev_dataops/jev.py#L23
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rohanarun/computer-use-cache
README states: Set your own TypeSafe API key to enable JEV in either server:
根拠https://github.com/rohanarun/computer-use-cache/blob/main/server.py#L85
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rokbenko/quackd
README states: quackd run arm-grip-check --robot arm-01 --by-hand --decision-llm jev --decision-mode shadow
根拠https://github.com/rokbenko/quackd/blob/main/quackd/agent/decision/systemone.py#L100
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RomanSlack/jev-drone
README states: jev-drone
根拠https://github.com/RomanSlack/jev-drone/blob/main/README.md#L1
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romeromarcelo/jev-retrieval
README states:
根拠https://github.com/romeromarcelo/jev-retrieval/blob/main/src/jev/client.rs#L28
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rorshopping/jev-on-a-laptop
README states: TypeSafe's own workflow evals (https://evals.typesafe.ai/) put Jev at 67.8% mean accuracy (61.7–76.0% per workflow) against a frontier consensus (average of GPT-6 Astra and Fable 5.1 answering every question), at $0.0004
根拠https://github.com/rorshopping/jev-on-a-laptop/blob/main/README.md#L103
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runta-dev/jot
README states: 
根拠https://github.com/runta-dev/jot/blob/main/README.md#L19
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rupeshpoojary9/poorjev
README states: The poor man's Jev. An open source, local-first "System One" decision layer for LLM apps: typed decisions with provably calibrated confidence . No API key. No waitlist.
根拠https://github.com/rupeshpoojary9/poorjev/blob/main/crossbench/jev_client.py#L8
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ryana/jevify
README states: TypeSafe introduction
根拠https://github.com/ryana/jevify/blob/main/README.md#L15
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safzanpirani/pi-jev-skill-picker
README states: One skill_search call costs about 38,600 Jev input tokens, or $0.0016 at $42 per billion. Jev bills input only. Against gpt-6-astra that is under 1% of what a single un-stripped request wastes.
根拠https://github.com/safzanpirani/pi-jev-skill-picker/blob/master/extensions/jev.ts#L12
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samdotmak/jev-recall
README states: Jev Recall gives you LLM re-ranker quality retreival at semantic search prices and speed
根拠https://github.com/samdotmak/jev-recall/blob/main/web/lib/systems.ts#L146
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samtay32/jev-system-architect
README states: A system-architecture skill for TypeSafe AI's Jev / System One. Continuously asks: *Where does this system contain fuzzy semantic judgment that should become a small Jev decision primitive?*
根拠https://github.com/samtay32/jev-system-architect/blob/main/README.md#L3
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santos-sanz/jev-audio-beeper
README states: Private TypeScript proof of concept: identify Spanish profanity with Jev's typed probabilistic decisions and replace the matching word intervals with a beep without changing the audio duration.
根拠https://github.com/santos-sanz/jev-audio-beeper/blob/main/index.ts#L1
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savka777/jev-use
README states:
根拠https://github.com/savka777/jev-use/blob/main/Sources/JevCore/Decision.swift#L177
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schwarzschlyle/immune
README states: export TYPESAFE_API_KEY=... # TypeSafe Jev, which Immune asks about each call
根拠https://github.com/schwarzschlyle/immune/blob/main/src/immune/sensing/jev.py#L15
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scienthoon/jev-ood-calibration
README states: Jev's probabilities are quantised to 0.01 and Choice/Score use the endpoints freely, so a correct answer sometimes receives exactly 0. A temperature cannot
根拠https://github.com/scienthoon/jev-ood-calibration/blob/main/README.md#L39
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sdras/system-one-explainer
README states: TypeSafe’s System One terminology and Jev quickstart are discussed in the final case study. Choice, Score, Noul, and distribution-derived confidence are specific API details.
根拠https://github.com/sdras/system-one-explainer/blob/main/README.md#L31
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SeeAPI/awesome-jev-use-cases
README states:
根拠https://github.com/SeeAPI/awesome-jev-use-cases/blob/main/recipes/model-routing/run.py#L14
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sgzmd/rss-morning
README states: Jev classification on cheap RSS metadata (TypeSafe System One)
根拠https://github.com/sgzmd/rss-morning/blob/main/README.md#L16
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shaharia-lab/jev-cli
README states:
根拠https://github.com/shaharia-lab/jev-cli/blob/main/crates/jev-cli/src/help/docs.rs#L813
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shamazharikh/qwen-rlcd
README states: Training uses RLCD (Reinforcement Learning for Calibrated Decisions). The objective is decisions plus calibrated probabilities. TypeSafe argues that RLHF hurts calibration through sycophancy and mode dropping.
根拠https://github.com/shamazharikh/qwen-rlcd/blob/main/README.md#L160
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shantanugoel/ask-jev-skill
README states: Hermes skill: call TypeSafe Jev (jev-latest) as a typed tiebreaker. Jev is not a chat model. It returns Choice / Score / Noul answers with probabilities so an agent can act or escalate.
根拠https://github.com/shantanugoel/ask-jev-skill/blob/main/scripts/askjev.py#L15
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shantanugoel/mario-jev
README states: Jev receives structured RAM observations and answers focused questions about movement, starting a jump, and sustaining
根拠https://github.com/shantanugoel/mario-jev/blob/main/src/mario_jev/policy.py#L3
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sharziki/semdecide
README states: Typed semantic decisions for Unix pipelines and CI, powered by TypeSafe AI Jev.
根拠https://github.com/sharziki/semdecide/blob/main/src/reflex_guard/cli.py#L180
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shhivv/arc-cua
README states: not use decision models, JEV or TypeSafe; it is a standalone driver.
根拠https://github.com/shhivv/arc-cua/blob/master/src/arc_cua/policies/typesafe.py#L26
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shinshin86/aituber-onair
README states: | typesafe | TypeSafe AI | jev-latest | https://api.typesafe.ai/v1/systemone |
根拠https://github.com/shinshin86/aituber-onair/blob/main/packages/comment-intelligence/README.md#L291
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shitianfang/jev-use
README states: hand the tasks that need no text output to Jev — faster steps, fewer
根拠https://github.com/shitianfang/jev-use/blob/main/README.md#L7
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shivendrasoni/vector-cache
README states: The default judge is TypeSafe Jev (vendor-quoted ~100 ms per call).
根拠https://github.com/shivendrasoni/vector-cache/blob/main/README.md#L98
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ShuhanSun/jev-oas-sentinel
README states: jev-oas-sentinel compares two OpenAPI documents in two layers:
根拠https://github.com/ShuhanSun/jev-oas-sentinel/blob/main/src/jev_oas_sentinel/jev.py#L19
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sileod/tasksource
README states: (pick one option), score (an ordered scale) and noul (yes/no or a probability). This is the Jev / System One request format.
根拠https://github.com/sileod/tasksource/blob/main/README.md#L76
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socai-io/jev-social
README states:
根拠https://github.com/socai-io/jev-social/blob/main/src/classifier.js#L222
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sonnylazuardi/superterminal
README states: The ranking comes from Jev,
根拠https://github.com/sonnylazuardi/superterminal/blob/main/README.md#L58
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sorrycc/typesafe-snake
README states: TypeSafe's Jev (a System One decision model, not an LLM) plays Snake in real time.
根拠https://github.com/sorrycc/typesafe-snake/blob/master/server/index.ts#L2
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sosopop/jev_stock
README states: My current view is that JEV is more useful here as a disciplined reasoning layer than as a proven quantitative trading model.
根拠https://github.com/sosopop/jev_stock/blob/main/jev_hk_predict.py#L29
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SoundBlaster/Jev4Mellea
README states: A small Python adapter that brings TypeSafe Jev's semantic checks into
根拠https://github.com/SoundBlaster/Jev4Mellea/blob/main/src/mellea_jev/providers/categorical.py#L45
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SREGym/SREGym
README states: Jev is disabled by default. To enable it for Codex, set TYPESAFE_API_KEY and run:
根拠https://github.com/SREGym/SREGym/blob/main/clients/jev/client.py#L14
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sriganesh/jevibe-check
README states: Usage shows request counts and estimated cost. Set token prices under Cost estimate, or use Clear stats to reset the counters. Your key and settings are kept. Check TypeSafe for actual charges.
根拠https://github.com/sriganesh/jevibe-check/blob/main/extension/background.js#L133
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steven-shoemaker/hunch
README states: To reach Jev through a gateway your company already uses, pass gateway="openrouter" (reads OPENROUTER_API_KEY) or gateway="vercel" (reads AI_GATEWAY_API_KEY) to configure. Everything else works the same.
根拠https://github.com/steven-shoemaker/hunch/blob/main/src/hunch/client.py#L37
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steven-shoemaker/hunch-js
README states: To reach Jev through a gateway your company already uses, pass gateway: "openrouter" (reads OPENROUTER_API_KEY) or gateway: "vercel" (reads AI_GATEWAY_API_KEY) to configure. Everything else works the same.
根拠https://github.com/steven-shoemaker/hunch-js/blob/main/src/client.ts#L1
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STRML/omp-jevens-classifier
README states: Jev-judged permission checks for OMP's bash tool, and for eval payloads that spawn
根拠https://github.com/STRML/omp-jevens-classifier/blob/main/jev.ts#L64
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sufianetaouil/every
README states: every needs a Jev API key. If you don't have one, join the hosted-tier waitlist:
根拠https://github.com/sufianetaouil/every/blob/main/every/judge.py#L16
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sumleo/prompt2jev
README states: Natural language, an LLM prompt, or the code that runs one in. A Jev decision out: typed questions and a runnable script.
根拠https://github.com/sumleo/prompt2jev/blob/main/skills/prompt2jev/scripts/prompt2jev.py#L27
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superagents-lab/jev-search
README states: Search the web in plain language. A decision model such as TypeSafe's Jev, Cloudflare's Clef or OpenAI's GPT-6 Luna chooses sources, time ranges and search terms, then ranks the results returned through Search1API. You g
根拠https://github.com/superagents-lab/jev-search/blob/main/README.md#L5
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supercorp-ai/supercov
README states: export TYPESAFE_API_KEY=... # get one at https://typesafe.ai
根拠https://github.com/supercorp-ai/supercov/blob/main/crates/supercov-cli/src/quality/tests.rs#L2768
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szczyglis-dev/py-gpt
README states: Jev / System One (inline) - integrates TypeSafe AI Jev for fast, typed semantic decisions over structured state, including classification, routing, selection, verification, and scoring.
根拠https://github.com/szczyglis-dev/py-gpt/blob/master/src/pygpt_net/plugin/jev/worker.py#L106
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tacticocc/Jevbridge
README states: ACP and MCP adapter that bridges TypeSafe Jev with any LLM.
根拠https://github.com/tacticocc/Jevbridge/blob/main/src/types.ts#L111
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tamnd/kime
README states: The base URL defaults to http://127.0.0.1:8000 in place of https://api.typesafe.ai.
根拠https://github.com/tamnd/kime/blob/main/ts/README.md#L22
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tanghaojin/x-smart-tags
README states: 扩展通过 Background Service Worker 直接调用 https://api.typesafe.ai/v1/systemone。
根拠https://github.com/tanghaojin/x-smart-tags/blob/main/README.md#L42
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tanxarx/awesome-jev
README states: A curated list of resources, open-source clones, integrations, and engineering playbooks for Jev — TypeSafe AI's non-generative "System 1" decision model.
根拠https://github.com/tanxarx/awesome-jev/blob/main/README.md#L3
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TauricResearch/TradingAgents
README states: export TYPESAFE_API_KEY=... # Jev social-post screening (optional)
根拠https://github.com/TauricResearch/TradingAgents/blob/main/tradingagents/agents/post_screen.py#L68
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tbdavid2019/ai-hedge-fund-API
README states: Fallback Tier-3: TypeSafe Official Service (https://api.typesafe.ai/v1/systemone)
根拠https://github.com/tbdavid2019/ai-hedge-fund-API/blob/main/README.md#L57
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The-Vibe-Company/quivr
README states: That is far under Jev's budget of 32k tokens for the state plus the longest
根拠https://github.com/The-Vibe-Company/quivr/blob/main/plugins/alerts/README.md#L292
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TholeG/typesafe-chess
README states: Two virtual chess players, both powered by TypeSafe's System One model Jev.
根拠https://github.com/TholeG/typesafe-chess/blob/main/README.md#L3
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TianyuCodings/JevHarness
README states: | docs/ | Task authoring, a recorded Jev call, comparison video, and website screenshots |
根拠https://github.com/TianyuCodings/JevHarness/blob/main/README.md#L212
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timpratim/macbrow
README states: LiveKit Agents for the voice loop, TypeSafe's Jev
根拠https://github.com/timpratim/macbrow/blob/main/README.md#L26
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tinyhumansai/opencompany
README states: asked of Jev — TypeSafe's System One routing model — through the TinyHumans
根拠https://github.com/tinyhumansai/opencompany/blob/main/README.md#L114
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TKY-27/JevSlop
README states: Eight atomic detail Score questions plus a Jev overall Score and choice in one systemOne request.
根拠https://github.com/TKY-27/JevSlop/blob/main/functions/api/evaluate.ts#L1
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togethercomputer/tev1
README states: Jev-inspired implementation and does not use Jev's answers as training labels.
根拠https://github.com/togethercomputer/tev1/blob/main/README.md#L102
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TokenTrim/jev-routing-experiment
README states: Jev is not a text model. It returns typed decisions (Choice / Score / Noul) with calibrated
根拠https://github.com/TokenTrim/jev-routing-experiment/blob/main/jev_router/jev.py#L17
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tonone-ai/tonone
README states: | JEV_API_KEY or TYPESAFE_API_KEY | https://api.typesafe.ai/v1/systemone | jev-latest | jev |
根拠https://github.com/tonone-ai/tonone/blob/main/lib/jev/README.md#L220
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tonsky/tgadmin
README states: With Jev
根拠https://github.com/tonsky/tgadmin/blob/main/README.md#L8
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tpaulshippy/shady-town
README states: Decisions and thresholds stay in code. Built on TypeSafe's Jev via
根拠https://github.com/tpaulshippy/shady-town/blob/main/README.md#L88
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trancong12102/agentskills
README states: | answer audit (optional) | JEV_API_KEY | Create a key at console.typesafe.ai/keys, then export JEV_API_KEY=… (TYPESAFE_API_KEY also works). Turns on Jev's two extra checks in scripts/audit-answers.py. |
根拠https://github.com/trancong12102/agentskills/blob/main/README.md#L38
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trpc-group/trpc-agent-go
README states: For Jev, set JEV_BASE_URL=https://api.typesafe.ai, configure JEV_API_KEY
根拠https://github.com/trpc-group/trpc-agent-go/blob/main/internal/systemone/README.md#L63
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truespar/sentio
README states: provider = "jev"
根拠https://github.com/truespar/sentio/blob/main/README.md#L998
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turenlabs/turenos
README states: The detector uses one request with Noul questions for danger and confirmation, a Score for risk, and a Choice for category. Set TYPESAFE_ENDPOINT only if using a compatible HTTPS endpoint; plain HTTP is accepted only for
根拠https://github.com/turenlabs/turenos/blob/main/command-guard/README.md#L41
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tyler-dot-earth/patdown
README states: The judge is swappable. The default backend uses Effect Decision / DecisionModel with TypeSafe; rules and CLI commands use a provider-neutral interface.
根拠https://github.com/tyler-dot-earth/patdown/blob/main/scripts/probe-jev-input-size.mjs#L25
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tylergibbs1/sift
README states: Load dist/ as an unpacked extension in chrome://extensions, then enter your TypeSafe API key on
根拠https://github.com/tylergibbs1/sift/blob/main/scripts/smoke.ts#L74
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tylerjharden/ailerix
README states: POST /api/v1/systemone — Jev-compatible Choice / Score / Noul API
根拠https://github.com/tylerjharden/ailerix/blob/main/src/components/playground-client.tsx#L45
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typakon4/jev-layer
README states:
根拠https://github.com/typakon4/jev-layer/blob/main/src/providers/demo.mjs#L36
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TypeLLM/TypeLLM
README states: TypeLLM brings type-safe generation to existing autoregressive LLMs without changing their architecture or weights. Inspired by TypeSafe AI's Jev, it lets models retain their native thinking and free-form generation whil
根拠https://github.com/TypeLLM/TypeLLM/blob/main/README.md#L48
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TypeSafeAI/typesafe-playground
README states: Small experiments. Clear decisions. This is an independent community project, not an official TypeSafe AI product, production agent harness, or claim that a typed answer is correct.
根拠https://github.com/TypeSafeAI/typesafe-playground/blob/main/lib/serverJev.ts#L52
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UditAkhourii/quicksilver
README states: Jev, TypeSafe's System One model. Jev returns typed
根拠https://github.com/UditAkhourii/quicksilver/blob/main/README.md#L21
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uehaj/sys1grep
README states: sys1grep: endpoint api.typesafe.ai/v1/systemone (default), model jev-latest (default)
根拠https://github.com/uehaj/sys1grep/blob/main/README.md#L229
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uezo/aiavatarkit
README states: Gates — Smart Turn, Namo Turn, Jev, OpenAI Decisions, LLM turn gate, filler-only, session hold, custom gates
根拠https://github.com/uezo/aiavatarkit/blob/main/aiavatar/sts/vad/turn_end_gates/jev.py#L172
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unownone/jevsume
README states: ATS-friendly resume review powered by Jev (TypeSafe System One). The frontend extracts resume text the way a parser would, then a Cloudflare Worker runs typed JEV questions and composes a JevScore.
根拠https://github.com/unownone/jevsume/blob/main/readme.md#L3
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uu889/laya-opencv
README states: | TypeSafe 官方 | https://api.typesafe.ai | TypeSafe 控制台的密钥 |
根拠https://github.com/uu889/laya-opencv/blob/main/README.md#L386
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v-modal/awesome-jev-tools
README states: A curated list of public projects and developer patterns built on Jev, TypeSafe AI's System One model for typed decisions.
根拠https://github.com/v-modal/awesome-jev-tools/blob/main/README.md#L7
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valentynkit/awesome-jev-typesafe
README states:
根拠https://github.com/valentynkit/awesome-jev-typesafe/blob/main/scripts/jev-client.mjs#L5
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valentynkit/jev-commit
README states: that the two agree. This does, in one call to Jev, before the commit lands.
根拠https://github.com/valentynkit/jev-commit/blob/main/jev_commit/jev.py#L18
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valentynkit/jev-skip
README states: Gateway shim rather than the direct API. Re-measure on api.typesafe.ai before pinning
根拠https://github.com/valentynkit/jev-skip/blob/main/README.md#L19
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vinilana/live-jev
README states: TypeSafe's Jev (a "System One" decision model)
根拠https://github.com/vinilana/live-jev/blob/main/README.md#L4
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vnmoorthy/siege
README states: Built at CoreWeave Hacks: Agent Loops (Weights & Biases, AGI House, TypeSafe AI), San Francisco, September 13 to 14, 2026.
根拠https://github.com/vnmoorthy/siege/blob/main/README.md#L248
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w3cj/jev-chat
README states: Jev does not produce text. Every text argument, such as a search query, a task title or a city, is
根拠https://github.com/w3cj/jev-chat/blob/main/apps/server/src/jev/client.ts#L1
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walidboulanouar/awesome-jev-use-cases
README states:
根拠https://github.com/walidboulanouar/awesome-jev-use-cases/blob/main/README.md#L2
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waynesutton/ask-jev-ai
README states: | Judge | Jev, TypeSafe System One, through the Convex AI Gateway Decisions endpoint (typesafe/jev-1.13) on a deployment token. No key. TypeSafe direct is the fallback when a key is set. | Decisions, docs.typesafe.ai |
根拠https://github.com/waynesutton/ask-jev-ai/blob/main/README.md#L40
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WeSecureYou/Jev-test
README states: The project works immediately without credentials. When JEV_API_KEY is absent, it logs a warning and uses deterministic, occupation-aware mock data with the same validated shape as a live Jev response.
根拠https://github.com/WeSecureYou/Jev-test/blob/main/src/services/jevClient.ts#L9
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wfzyx/von
README states: von serve exposes /v1/systemone, byte-compatible with the TypeSafe specification. Anything that talks to Jev talks to Von by changing the base URL; the SDKs do the same via VON_BASE_URL.
根拠https://github.com/wfzyx/von/blob/master/js/src/client.ts#L10
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whyashthakker/awesome-jev-use-cases
README states: git clone https://github.com/whyashthakker/awesome-jev-use-cases.git
根拠https://github.com/whyashthakker/awesome-jev-use-cases/blob/main/shared/providers.js#L16
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Wizhill05/typesafe-image-diffusion
README states: Jev (via TypeSafe System One) is a judgment model. You give it state, ask multiple choice questions, and it picks answers with confidence scores. It classifies things. It does not draw things.
根拠https://github.com/Wizhill05/typesafe-image-diffusion/blob/main/fix_synthesizer.py#L3
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wobsoriano/is-jeven
README states: Uses TypeSafe AI's Jev model under the hood to determine if a number is even.
根拠https://github.com/wobsoriano/is-jeven/blob/main/index.js#L19
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wustep/jev-playground
README states: npm test # vitest: renderer invariants, Jev request shapes, proxy, MIDI round-trip, inbox/match stubs
根拠https://github.com/wustep/jev-playground/blob/main/server/jevHandler.ts#L20
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Xiaooolong/vev
README states: the official Jev API (shape reference, costs a few cents)
根拠https://github.com/Xiaooolong/vev/blob/main/conformance/README.md#L17
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xinyao27/jevonian
README states: Jev picks the route for jevonian/auto — model and thinking depth in a single call.
根拠https://github.com/xinyao27/jevonian/blob/main/internal/brain/types.go#L45
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xiwan/acp-bridge
README states: | Auto agent routing | Send a task to the virtual agent auto and let Jev (TypeSafe System One) pick the best-fit agent with a calibrated confidence score; falls back safely |
根拠https://github.com/xiwan/acp-bridge/blob/main/README.md#L48
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y0usaf/pi-jev
README states: The gate sends the working directory, the tool name, the last user message (first 1200 characters), and the tool's arguments to api.typesafe.ai. For write and edit those arguments contain file content. The output judge s
根拠https://github.com/y0usaf/pi-jev/blob/main/README.md#L145
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yairshy/decido
README states: ordinary Python. Start with Jev or supply your own decision provider.
根拠https://github.com/yairshy/decido/blob/main/src/decido/providers/typesafe.py#L111
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yan-labs/yan-skills
README states: | jev | Typesafe(JEV / System One) | https://api.typesafe.ai/v1/systemone,Authorization: Bearer 鉴权(protocol: "typesafe-systemone",不是 Anthropic Messages/OpenAI 协议) | ⚠️ 不支持 run/run-many——它是结构化决策 API,不生成文本、不支持多轮工具调用,只能用下面「
根拠https://github.com/yan-labs/yan-skills/blob/main/agent-fleet/README.md#L123
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Yifan-Lan/awesome-jev-robustness
README states: entries · jev-1.13.0 in 111, jev-1.14.0 in 1, other decision models (Laya, Kev, Clef, Decision-1, OpenAI Decisions, open Jev-style checkpoints) in 31 · snapshot 2026-10-25 · numbers are the authors' own
根拠https://github.com/Yifan-Lan/awesome-jev-robustness/blob/main/README.md#L5
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Yinsongxu/LLM2Jev
README states: Turn your LLM / MLLM into a Jev-style decision model. Zero training required.
根拠https://github.com/Yinsongxu/LLM2Jev/blob/main/demos/web/server.py#L19
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ZeroGold/call-coach-ai
README states: You need a TypeSafe API key. There are three ways to run Call Coach:
根拠https://github.com/ZeroGold/call-coach-ai/blob/main/lib/coach.mjs#L13
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ZeroTang05/VideoAdGuard
README states: | TypeSafe | https://api.typesafe.ai/v1 | jev-latest | 官方接口 |
根拠https://github.com/ZeroTang05/VideoAdGuard/blob/main/README.md#L138
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zhengxuyu/litjev
README states: A reproduction of Jev: turn any Qwen model into a fast decision model.
根拠https://github.com/zhengxuyu/litjev/blob/main/scripts/dump_prompt.py#L10
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zhuyansen/jev-search-rerank-eval
README states: Does a TypeSafe Jev rerank beat embedding search? Measured, with the judge-bias removed.
根拠https://github.com/zhuyansen/jev-search-rerank-eval/blob/main/README.md#L3
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zsavage8/padflow-jev-evals
README states: them. It exists so a decision model (TypeSafe Jev, or anything else) can be
根拠https://github.com/zsavage8/padflow-jev-evals/blob/main/scripts/run_baseline.py#L7
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clavue-jev を使う
ドキュメント
- 紹介このモデルが何を解くのか。
- クイックスタート1 回の呼び出しで動く最小例。
- System One当サイトが書いた概念:状態に型付きの質問を 1 つ。モデルは clavue-jev。
- 状態判定に送るテキスト。
- 信頼度返り値の確かさ。自動実行の可否を決めるのに使う。
- Choice排他的な選択肢から 1 つ選ぶ。
- Noulはい/いいえの質問。はいの確率として返る。
- Score尺度に沿って点数を付ける。
- 意図ルーティングChoice 1 回でリクエストを下流へ振り分ける。
- 信頼度ルーティング信頼度が高ければ自動実行、低ければ人へ。
- ファンアウト1 つの状態に複数の質問を同時に投げる。
- 複合スコアリング複数のスコアを 1 つの順位にまとめる。
- HTTP APISDK を入れない場合のリクエスト形状。
- Python SDKPython から判定を呼ぶ。
- JavaScript SDKJavaScript から判定を呼ぶ。