Autres listes
425 entrées dans cette catégorie. Chacune nomme la décision concrète et renvoie à une preuve ouvrable.
0x7067/claude-jev
README states: The run sends your past prompts to api.typesafe.ai. Start with --sample 250
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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。
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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,
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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
Preuvehttps://github.com/aniruddh-krovvidi/switchboard/blob/main/jev.py#L3
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anishfn/shapeshift
README states:
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://github.com/AppitStudio/awesome-jev/blob/main/README.md#L3
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AppSprout-dev/Unsga3
README states: TypeSafe / Jev Pareto scoring (optional)
Preuvehttps://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,
Preuvehttps://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
Preuvehttps://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 |
Preuvehttps://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)
Preuvehttps://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 |
Preuvehttps://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:
Preuvehttps://github.com/Avinash-jetwani/jevmem/blob/main/plugin/README.md#L46
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awlevin/typesafe-computer-use
README states:
Preuvehttps://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
Preuvehttps://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:
Preuvehttps://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.*
Preuvehttps://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.
Preuvehttps://github.com/beamnxw/minelog/blob/main/README.md#L33
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BeatAPI/awesome-jev
README states:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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,
Preuvehttps://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.
Preuvehttps://github.com/bhaiG-de/jev-design-test/blob/master/vite.config.ts#L5
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BillionsBobby/JevRouter
README states:
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://github.com/brandonbryant12/transcript-scorecard/blob/main/apps/api/src/classifier.ts#L1
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brnyxx/jev-ra
README states:
Preuvehttps://github.com/brnyxx/jev-ra/blob/main/jev_ra/config.py#L11
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buberlo/jev-trader
README states: jev-trader
Preuvehttps://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。
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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 —
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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 |
Preuvehttps://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 |
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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).
Preuvehttps://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.
Preuvehttps://github.com/codaaiteam/jev-mcp/blob/main/README.md#L30
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Cognipeer/agent-sdk
README states: Against the real Jev API
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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 |
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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) |
Preuvehttps://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:
Preuvehttps://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,
Preuvehttps://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。
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://github.com/devtooligan/jevscan-evm/blob/main/README.md#L10
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dfinke/Jev
README states:
Preuvehttps://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.
Preuvehttps://github.com/Dicklesworthstone/skillranker/blob/main/src/jev/client/tests.rs#L100
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Dimweaker/jev-libero
README states:
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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) |
Preuvehttps://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 |
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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) |
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://github.com/EthanAlgoX/AIStock/blob/main/README.md#L148
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etweisberg/jev-ui
README states:
Preuvehttps://github.com/etweisberg/jev-ui/blob/main/apps/demo/scripts/check-key.mjs#L5
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EugeneBoondock/jevsql
README states:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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。
Preuvehttps://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
Preuvehttps://github.com/featherless-ai/simple-jev/blob/main/README.md#L20
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feder-cr/jev
README states:
Preuvehttps://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.
Preuvehttps://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。
Preuvehttps://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
Preuvehttps://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
Preuvehttps://github.com/Foadsf/jev-for-engineers/blob/main/jev.py#L11
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FrancoisChastel/jev-code
README states: jev-code
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://github.com/gamesonrblx/Jevbridge/blob/main/src/types.ts#L111
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gbh1234/Adaptive-rag
README states: INTENT_BACKEND=jev
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://github.com/Godefroy/micdrop/blob/main/README.md#L27
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GodsBoy/jev-agent-skill-router
README states:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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)
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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. |
Preuvehttps://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。
Preuvehttps://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 |
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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 |
Preuvehttps://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.
Preuvehttps://github.com/iamvatsalpatel/tiershift/blob/main/bench/experiments/gate-experiment.ts#L10
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iefnaf/pi-jev
README states:
Preuvehttps://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
Preuvehttps://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,
Preuvehttps://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%),
Preuvehttps://github.com/InternLM/Intern-Decision/blob/main/README.md#L97
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intikhab49/open-jev-typed-decision-engine
README states:
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://github.com/itsmostafa/typesafe-mcp/blob/main/README.md#L10
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itsoltech/basal-rs
README states:
Preuvehttps://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
Preuvehttps://github.com/j1s4nn/duomind/blob/main/README.md#L111
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JamesANZ/us-legal-mcp
README states: JEV_MODEL – default jev-latest
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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")
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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,
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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).
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://github.com/kouhxp/gutsy/blob/main/gutsy-inference/gutsy_inference/server.py#L21
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kraayenjon/awesome-jev
README states:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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。
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://github.com/mattn/go-jev/blob/main/jev.go#L19
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mejiasd3v/pi-jev-router
README states:
Preuvehttps://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。
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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).
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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).
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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:
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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:
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://github.com/olsenbrands/fable-foreman/blob/main/README.md#L11
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OmniJev/OneJev
README states:
Preuvehttps://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:
Preuvehttps://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:
Preuvehttps://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:
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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,
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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。
Preuvehttps://github.com/pengchujin/ad-radar/blob/main/README.md#L6
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PerryLink/jevcore
README states: TypeSafe Jev for DeepSeek Harness
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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)"
Preuvehttps://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.
Preuvehttps://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:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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,
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://github.com/qddegtya/qualm/blob/main/README.md#L25
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qkal/Canny
README states: Jev
Preuvehttps://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
Preuvehttps://github.com/QuentinDanblon/pi-fast-jev-compaction/blob/main/index.ts#L206
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Query-farm/vgi-typesafe
README states:
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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 |
Preuvehttps://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,
Preuvehttps://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).
Preuvehttps://github.com/rchovatiya88/cyber-breach-jev/blob/main/backend/bot_pilot.py#L50
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reachjalil/jevlogs
README states:
Preuvehttps://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.
Preuvehttps://github.com/ReallyArtificial/stuntdouble/blob/main/sidecars/kev-space.mjs#L42
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realZachi/pg-jev
README states:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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:
Preuvehttps://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
Preuvehttps://github.com/rokbenko/quackd/blob/main/quackd/agent/decision/systemone.py#L100
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RomanSlack/jev-drone
README states: jev-drone
Preuvehttps://github.com/RomanSlack/jev-drone/blob/main/README.md#L1
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romeromarcelo/jev-retrieval
README states:
Preuvehttps://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
Preuvehttps://github.com/rorshopping/jev-on-a-laptop/blob/main/README.md#L103
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runta-dev/jot
README states: 
Preuvehttps://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.
Preuvehttps://github.com/rupeshpoojary9/poorjev/blob/main/crossbench/jev_client.py#L8
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ryana/jevify
README states: TypeSafe introduction
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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?*
Preuvehttps://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.
Preuvehttps://github.com/santos-sanz/jev-audio-beeper/blob/main/index.ts#L1
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savka777/jev-use
README states:
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://github.com/sdras/system-one-explainer/blob/main/README.md#L31
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SeeAPI/awesome-jev-use-cases
README states:
Preuvehttps://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)
Preuvehttps://github.com/sgzmd/rss-morning/blob/main/README.md#L16
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shaharia-lab/jev-cli
README states:
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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 |
Preuvehttps://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
Preuvehttps://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).
Preuvehttps://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:
Preuvehttps://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.
Preuvehttps://github.com/sileod/tasksource/blob/main/README.md#L76
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socai-io/jev-social
README states:
Preuvehttps://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,
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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:
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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:
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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。
Preuvehttps://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.
Preuvehttps://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)
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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 |
Preuvehttps://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
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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 |
Preuvehttps://github.com/tonone-ai/tonone/blob/main/lib/jev/README.md#L220
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tonsky/tgadmin
README states: With Jev
Preuvehttps://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
Preuvehttps://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. |
Preuvehttps://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
Preuvehttps://github.com/trpc-group/trpc-agent-go/blob/main/internal/systemone/README.md#L63
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truespar/sentio
README states: provider = "jev"
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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
Preuvehttps://github.com/tylerjharden/ailerix/blob/main/src/components/playground-client.tsx#L45
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typakon4/jev-layer
README states:
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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)
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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 |
Preuvehttps://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.
Preuvehttps://github.com/v-modal/awesome-jev-tools/blob/main/README.md#L7
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valentynkit/awesome-jev-typesafe
README states:
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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)
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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:
Preuvehttps://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 |
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://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)
Preuvehttps://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.
Preuvehttps://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 |
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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「
Preuvehttps://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
Preuvehttps://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.
Preuvehttps://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:
Preuvehttps://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 |
Preuvehttps://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.
Preuvehttps://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.
Preuvehttps://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
Preuvehttps://github.com/zsavage8/padflow-jev-evals/blob/main/scripts/run_baseline.py#L7
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Continuer sur ce site
Essai, documentation, cas et tarifs renvoient l'un à l'autre. La page suivante est sur ce site.
Plus sur ce site
- Annuaire du siteLa liste complète des pages ci-dessus.
- ÉcosystèmeProjets communautaires par catégorie.
- Couverture JevChaque entrée nomme la décision et sa preuve.
- Cas du jourLe lot suivant du corpus, chaque jour.
- CommunautéDes publications publiques, chacune avec sa source.
- BuildsNotes sur les mises à jour du modèle et du site.
- PrimitivesChoice, Noul et Score réunis.
- ModèlesRoutage, fan-out et notation composite.
- SDKHTTP, Python et JavaScript.
Utiliser clavue-jev
- Essayer un jugementÉcrivez un état et lisez la réponse.
- Scènes en directTetris, six jugements rapides et un tri. Copiez l'appel et relancez-le.
- LaboratoireTriage support, revue de release et plus — modifiez et exécutez sur place.
- Comparerclavue-jev et jev-1.13.0 répondent à la même question.
- DémosDes exemples de jugement que vous pouvez modifier.
- TarifsL'entrée est à 0,042 $ par million de tokens. La sortie est gratuite.
- APIAppelez POST /v1/judge avec une clé.
Documentation
- IntroductionÀ quoi sert ce modèle.
- Démarrage rapideLe plus petit appel qui fonctionne.
- System OneÉcrit ici : un état plus une question typée. Le modèle est clavue-jev.
- ÉtatLe texte que vous envoyez.
- ConfianceÀ quel point la réponse est sûre, et quand agir.
- ChoiceChoisir une option mutuellement exclusive.
- NoulUne question oui/non, renvoyée comme probabilité de oui.
- ScoreNoter sur une échelle.
- Routage d'intentionUn appel Choice achemine la requête.
- Routage par confianceAgir si la confiance est haute, passer la main sinon.
- Fan-outPoser plusieurs questions sur un même état.
- Notation compositeCombiner plusieurs scores en un classement.
- HTTP APILa forme de la requête sans SDK.
- SDK PythonLancer un jugement depuis Python.
- SDK JavaScriptLancer un jugement depuis JavaScript.
Cas
- Carte des cas d'usageQuelle primitive pour quel usage.
- Garde-fousUne vérification oui/non avant une action.
- Appel de fonctionDécider par jugement quelle fonction appeler.
- Classer avec confianceNe rien faire si la classe est incertaine.
- Recherche sémantiqueTrouver les passages pertinents.
- Questions parallèlesPoser toute la série en un appel.
- Classification hiérarchiqueD'abord la classe grossière, puis la fine.
- Vérification de citationSi une phrase est étayée par la source.
- Alignement d'entitésSi deux noms désignent la même chose.
- Suggestion de compétenceChoisir la compétence adaptée au moment.