TypeSafe Jev / System One 模型的免费 GitHub 项目目录按用途查找官方 SDK、智能体工具、开源替代实现与 Jev 最新资讯

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标签:evaluation

查找带有 evaluation 标签的 Jev GitHub 项目,筛选、排序并查看原始仓库。

  • Agent evals and guardrails as Jev decisions: one request per trace, a fraction of a cent, fast enough for the agent loop. Runs locally with Kev or Laya.

    openlayer-ai/jevals · Python

    1029
    ai-agentsevaluationguardrailsllmllm-evaluationragas
  • Probability-aware evaluation for typed decision models: calibration, selective risk, latency, and reproducible benchmarks.

    AbdelStark/jev-benchmarks · Python

    265
    pythonbenchmarkingcalibrationevaluation
  • Decision harness for TypeSafe Jev — confidence gates, shadow mode, recipes, and evals. Claude CLI 48.9s → Jev 1.3s on the same row-filter job.

    AntonioCoppe/jev-harness · TypeScript

    152
    ai-agentsconfidencedecisionevaluationharnessllm
  • Fast, typed, calibrated evaluations for LLM and agent outputs, powered by Jev — with simple, framework-agnostic Python APIs

    TrustifAI/typed_evals · Python

    151
    ai-agentscrewaievaluationevaluation-frameworkevaluation-metrics
  • Build and regression-test conversational state machines powered by Jev. Inspect decisions, capture failing conversations as tests, and export runnable TypeScript for your app.

    priyankark/jev-state · TypeScript

    80
    ai-agentscode-generationconversational-aideveloper-toolsevaluationllm-evaluationlocal-first
  • What can Jev actually do? Reproducible experiments and research reports exploring its capabilities and limits.

    keta1930/what-the-jev · Python

    81
    benchmarkdecision-modelevaluationllm-evaluation
  • First independent head-to-head benchmark of System One decision models (Laya vs Jev) on byte-identical inputs

    instax-dutta/sysone-bench · Python

    62
    benchmarkcalibrationdecision-modelevaluationlayallm-eval
  • Fast and cheap agent evals. jev as judge.

    memovai/openevals · TypeScript

    40
    ai-agentsevaluationlangchainlangfuseobservabilitytypescript
  • Three measured experiments on RAG hallucination: quote-checking, TypeSafe's Jev, and IBM's STAIR. 850+ graded questions, raw responses included.

    aryanchauhanoffical/no-hallucination · Python

    30
    benchmarkevaluationhallucinationllmragretrieval
  • Ten runnable Jev examples for agent decisions: memory conflicts, tool-result checks, recovery, context selection, and handoffs. JavaScript, zero dependencies.

    ReallyArtificial/jev-by-example · JavaScript

    21
    agent-memoryai-agentsevaluationexamplesgood-first-issuehacktoberfesthelp-wanted
  • A reproducible, self-hosted benchmark for comparing JEV and LLM decision-making on your own datasets, models, and evaluation policies.

    Tenkei/jev-decision-bench · Python

    20
    ai-agentsanthropicbenchmarkdeepseekevaluationllmopenai
  • Local playground and test bench for TypeSafe's Jev System One model: typed questions, calibrated-probability answers, and side-by-side comparison with an LLM baseline.

    creativoma/here-we-go-jev · TypeScript

    10
    buncalibrationclassificationevaluationllmopenrouter
  • Measure what Jev can actually do before you build on it. Graded findings, ruled-out candidates, and recipes with stop-conditions. 0 promotions — on purpose.

    JYeswak/jev_playground · Python

    10
    ai-agentsbenchmarkevaluationllmpython
  • An 11-level crash course on Jev, TypeSafe AI's System One decision model — runnable examples against the real API, plus a capstone project with unit tests and evals. Works with any LLM provider via LiteLLM.

    nadeemcite/jev-crash-course · Python

    10
    ai-agentscrash-courseevaluationlitellmllmpython
  • Hands-on research lab for TypeSafe's Jev (System One model): reproducible benchmarks of Noul/Choice/Score primitives, confidence gating, fan-out latency, agent control — plus a living audit of the Jev ecosystem.

    llt22/jev-lab · Python

    10
    ai-agentsbenchmarkconfidence-calibrationevaluationllmllm-evaluationllm-observability
  • Reproducible riichi mahjong benchmark for Jev, GPT, Mortal, and hybrid agents using MJAI and RiichiEnv.

    hamakyo/jev-mahjong-bench · TypeScript

    10
    benchmarkevaluationgame-aigpthybrid-agentsmahjongmahjong-ai
  • Preregistered, bias-corrected test of TypeSafe Jev's calibration under human disagreement (ChaosNLI, 100 labels per item)

    GautamTalksDev/jevbench · Python

    10
    calibrationchaosnlievaluationpreregistrationpython
  • A hands-on educational lab for DeepEval + Jev: inspect real recorded judgments, explore release gates and drift playback, and run fresh evaluations on your own workloads.

    shyamsridhar123/JudgeJev · Python

    10
    deepevaldrift-detectionenterprise-aievaluationllm-evaluationllmopspython
  • Drop-in /v1/systemone proxy that shadows Jev with local decision models (Kev, Laya) and reports whether you can swap

    ReallyArtificial/stuntdouble · JavaScript

    10
    ai-agentsevaluationgood-first-issuehelp-wantedjavascriptkevlaya
  • Jev (TypeSafe AI) as a System One decision layer for a multilingual EN/UZ/RU RAG helpdesk, with an independent benchmark

    rajantripathi/fastgate-jev · Python

    00
    ai-agentsevaluationllm-routingmultilingualraguzbek
  • A learning scaffold for TypeSafe AI's System One models: eval harness plus a measured, plain-language comparison of the Jev decision model vs an LLM stand-in on 24 real operational decisions. All numbers reproducible from committed run files.

    andreaserradev-gbj/jev-access-day · TypeScript

    00
    benchmarkdecision-supportevaluationllmtype-safety

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