ベンチマークと研究
このカテゴリの 16 件。各項目に具体的な判断と開ける根拠リンクがあります。
Decision Models as Guardrails
Treats typed decisions as guardrails rather than scores, using fixed options to constrain the action set downstream can execute.
根拠https://github.com/raxITlabs/decision-models-as-guardrails/blob/main/infra/gcp/laya_server.py#L118
ラベルpublic-sourceauthor-reported-metriccall-site-verified
anandi1989/awesome-jev-usecases
README states: ts2.tech: "TypeSafe AI Raises $40 Million for Jev, but Its 445× Cost Claim Is Still Self-Tested": *The skeptical audit of self-tested benchmarks, plus funding verification.*
根拠https://github.com/anandi1989/awesome-jev-usecases/blob/main/README.md#L234
ラベルreadme-claim
caiovicentino/eikos
README states: evaluation/eval_jev_suite.py and evaluation/eval_laya_suite.py run the same suites through Jev (API, evaluation
根拠https://github.com/caiovicentino/eikos/blob/main/eikos/serve.py#L343
ラベルcall-site-verified
codeitlikemiley/system-one-adapter-rust
README states: A drop-in replacement for TypeSafe's system_one evaluation API, backed by LLM
根拠https://github.com/codeitlikemiley/system-one-adapter-rust/blob/main/src/client.rs#L15
ラベルcall-site-verified
erboland/jev-fund
README states: jev-fund: Open-Source Paper Hedge Fund
根拠https://github.com/erboland/jev-fund/blob/main/README.md#L32
ラベルreadme-claim
frankda/jev-poly-crypto-demo
README states: This version implements a live market-data adapter, Jev integration, paper trading and a dashboard. It does not connect a wallet or submit real orders. TRADING_MODE=live is rejected at startup.
根拠https://github.com/frankda/jev-poly-crypto-demo/blob/main/scripts/check-jev.ts#L2
ラベルcall-site-verified
fstandhartinger/jevbench
README states: Jev is TypeSafe AI's decision model; JevBench also evaluates Jev-compatible systems. The canonical JevBench board is https://benchmarkheaven.com/jev-models.
根拠https://github.com/fstandhartinger/jevbench/blob/main/README.md#L5
ラベルreadme-claim
grmkris/robo-harness
README states: Decision runs (bun run jev) let an evaluation model or rules baseline pick bounded joint steps; chat and a decision run never move the arm at the same time.
根拠https://github.com/grmkris/robo-harness/blob/main/apps/server/src/decision/strategies.ts#L273
ラベルcall-site-verified
kylemclaren/jevpdf
README states: Cheap enough to ask about every line. Jev costs $0.042 per million input tokens, and output is free. Checking every line of a 15-page paper costs well under a cent.
根拠https://github.com/kylemclaren/jevpdf/blob/main/server/jev-upstream.ts#L5
ラベルcall-site-verified
micytao/vllm-playground
README states: Decision Models (Experimental) — A brand-new sandbox tab for structured-read decisions powered by DiffusionGemma and Jev / System One. Gallery of 12 use cases across 4 tabbed categories (Noul, Choice, Score, Combination)
根拠https://github.com/micytao/vllm-playground/blob/main/README.md#L37
ラベルreadme-claim
nexibeo/jev-cookbook
README states: Practical, tested recipes for TypeSafe's Jev, the fast decision model on OpenRouter. Fifteen real-world jobs, each with a runnable script, a small labelled dataset and measured results: support triage, database indexing,
根拠https://github.com/nexibeo/jev-cookbook/blob/main/README.md#L5
ラベルreadme-claim
nickthompson480/typesafe-ai-playground
README states: You need Python 3.10 or newer, a modern browser, and a TypeSafe API key to run evaluations. There are no packages to install and no frontend build step.
根拠https://github.com/nickthompson480/typesafe-ai-playground/blob/main/server.py#L17
ラベルcall-site-verified
pedronauck/skills
README states: jev-engineering — Design and build use cases, POCs and production systems with TypeSafe's Jev decision model (System One): design modes and use-case archetypes, decision state, typed questions, Jev combined with generati
根拠https://github.com/pedronauck/skills/blob/main/README.md#L80
ラベルreadme-claim
theSekyi/jevusecases
README states: A directory of real projects, filtered by what they replace, whether they've been benchmarked, and whether there's code to copy — not a marketing site for Jev itself.
根拠https://github.com/theSekyi/jevusecases/blob/main/README.md#L5
ラベルreadme-claim
unicodeveloper/jevocks
README states: Jevinik uses Jev, TypeSafe AI's System One evaluation model, to make typed, probabilistic decisions without calling a general-purpose generative LLM.
根拠https://github.com/unicodeveloper/jevocks/blob/main/README.md#L11
ラベルreadme-claim
willkelly/jev-evaluation
README states: An adversarial evaluation of jev, the decision model sold by TypeSafe. It
根拠https://github.com/willkelly/jev-evaluation/blob/main/jeveval/config.py#L18
ラベルcall-site-verified
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このサイトの他の入口
clavue-jev を使う
ドキュメント
- 紹介このモデルが何を解くのか。
- クイックスタート1 回の呼び出しで動く最小例。
- System One当サイトが書いた概念:状態に型付きの質問を 1 つ。モデルは clavue-jev。
- 状態判定に送るテキスト。
- 信頼度返り値の確かさ。自動実行の可否を決めるのに使う。
- Choice排他的な選択肢から 1 つ選ぶ。
- Noulはい/いいえの質問。はいの確率として返る。
- Score尺度に沿って点数を付ける。
- 意図ルーティングChoice 1 回でリクエストを下流へ振り分ける。
- 信頼度ルーティング信頼度が高ければ自動実行、低ければ人へ。
- ファンアウト1 つの状態に複数の質問を同時に投げる。
- 複合スコアリング複数のスコアを 1 つの順位にまとめる。
- HTTP APISDK を入れない場合のリクエスト形状。
- Python SDKPython から判定を呼ぶ。
- JavaScript SDKJavaScript から判定を呼ぶ。