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CommunityRepos & SDKs248 starsVerified 2026-09-22

OpenAI Scala Client

An async Scala client for the OpenAI API and multiple providers, with a dedicated TypeSafe AI adapter that answers Jev System One typed questions alongside Anthropic, Gemini, Groq, and Perplexity support.

Open github.comcequence-io/openai-scala-client
Category
Repos & SDKs
Published by
Community
Author
cequence-io
Added
2026-09-22
Tagscommunityscalasdkagents

Highlights

  • A dedicated TypeSafe AI (Jev) adapter joins Anthropic, Google Gemini/Vertex AI, Groq, Perplexity, and others behind one OpenAIService.
  • Covers chat completions, the responses and assistants APIs, tools including MCP, graders, vision, batch processing, and voice routines.
  • Streams a provider-neutral typed stream of text, thinking, tool-call, and tool-result chunks, including Anthropic's native Messages events.
  • Anthropic support extends to Bedrock and the Managed Agents surface: agents, environments, sessions, deployments, vaults, and memory stores.
  • Version 1.3.0, MIT-licensed, with ready-to-use examples in the openai-examples module.

Watch out

MIT-licensed. Requires Scala with sbt and API keys for whichever providers you use, including a TypeSafe key for the Jev adapter.

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From the community

Posts from builders shipping with Jev right now.

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Security decisions that fit Jev

Kostas
Kostas
@Kostastsale
·

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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A million judged questions

Inferring Jev's internals from 1,000 calls

iwashi / Yoshimasa Iwase
iwashi / Yoshimasa Iwase
@iwashi86
·

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
·

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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The launch post

Trading bot, one decision per block