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CommunityRepos & SDKs2 starsVerified 2026-09-22

jev-resilience

Spring WebFlux starter that asks Jev whether HTTP 200 responses actually encode a failure, converting suspected silent failures into SemanticFailureException for existing error handling.

Open github.comVicente-MD/jev-resilience
Category
Repos & SDKs
Published by
Community
Author
Vicente-MD
Added
2026-09-22
Tagscommunityjavaspring-bootguardrails

Highlights

  • Annotate a WebFlux method returning Mono or Flux with @SemanticCircuitBreaker(confidenceThreshold = 0.85) to evaluate each item.
  • Fail-open by design: API errors, timeouts or malformed responses score 0.0, so a TypeSafe outage cannot trip the breaker.
  • Reactive AspectJ composes one Noul question into the pipeline with flatMap and a configurable 750 ms timeout.
  • SemanticFailureException is a RuntimeException that works with onErrorResume, @ExceptionHandler or Resilience4j recordExceptions.

Watch out

No license file, so reuse terms are unclear despite an MIT badge in the README. Requires Spring Boot 3.x with spring-boot-starter-webflux and a TYPESAFE_API_KEY.

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From the community

Posts from builders shipping with Jev right now.

Follow @typesafeai

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Jason Zhu
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拿 Jev 做搜索重排，我先泼一盆冷水：单独用，它没打赢向量检索 TypeSafe 的 Jev 这阵子很火，一堆项目拿它做重排。我们在 Agent Skills Hub 的 33,047 条目录上认真测了一次，164 条中英文真实查询，9,831 对分级标注，整套只花了 2.6 美元 三个结论 01｜单独重排，约等于没赢 Jev 重排 bge-m3 Show more

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Jason Zhu
Jason Zhu
@GoSailGlobal

有美团、阿里的老哥嘛？ 试试加一路召回、重排（离线、近实时实现），我觉得有奇效 他在文本理解上 跟之前机器学习、llm很不一样 还能自动打标签做特征

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Kostas
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This made me rethink where AI actually fits into security engineering. For purely engineering work, forget about ChatGPT or Claude. TypeSafe AI just released Jev, and I think it’s going to change how we build AI into security workflows. Instead of asking an LLM to “investigate Show more

TypeSafe AI
TypeSafe AI
@typesafeai

we are officially out of stealth! join the frontier and get access to Jev on our website (link on profile)

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iwashi / Yoshimasa Iwase
iwashi / Yoshimasa Iwase
@iwashi86
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Jevの内部アーキテクチャを推測している技術記事(Jev’s Architecture Unmasked)からメモ。 ・本記事はJevのAPIを約1万回の呼び出して、内部構造を推測したもの ・従来の言語モデルを用いた分類やルーティングでは、トークンを1文字ずつ逐次生成するために膨大な無駄な計算コストが発生していた。 Show more

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The open System One roundup

小墨同学
小墨同学
@xiaomovps
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Jev 发布没几天，开源社区已经开始疯狂复刻了🔥 最值得推荐的五个模型： 1、Laya 421M：原生决策模型，支持 Mac 2、Decider-2B：最像 Jev，基于 Qwen3.5 3、NanoJev 0.6B：专门的 Decision Head 4、Reflex：Qwen3.5 + Direct Logits 5、System-One 4B：专门做概率校准 Show more

小墨同学
小墨同学
@xiaomovps

Jev 刚发布没几天，开源社区就出现了同款🔥 Decider-2B模型，是基于 Qwen3.5-2B 做了特殊调整 它和 Jev 模型是一样的 只做选择 评分和判断 不是文本类的 LLM 模型 但两者还是有几个明显区别： 1、模型 Jev：闭源 System One Model Decider：Qwen3.5-2B，约 1.9B 参数，Apache 2.0 开源 2、价格

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