BetterZflyee/dsh-jev-adapter

Use the Jev (System One) decision-model paradigm with any OpenAI-compatible LLM — no TypeSafe key required. A jev_decide tool for DeepSeek Harness (dsh).

Project Overview项目介绍

dsh-jev-adapter is a native plugin for DeepSeek Harness (DSH) that registers a single jev_decide tool on the host, packaging the Jev (System One) decision-model paradigm so any OpenAI-compatible chat model can produce typed, probability-distributed answers. It is installed via dsh plugin --profile <profile> add github:BetterZflyee/dsh-jev-adapter from GitHub, or as dsh-jev-adapter from npm once published, and configured either through a plugin row in cordis.patch.yml or through environment variables such as JEV_OPENAI_API_KEY, JEV_BASE_URL, and JEV_MODEL, after which DSH is restarted to load the adapter.

The intended user is anyone who needs to turn ambiguous judgements into structured numbers — ticket triage, urgency scoring, risk classification, A/B picks, and similar routing tasks. The agent bundles every judgement into one call: choice over up to 255 options, score over 2–10 ordered levels, or boolean statements, and receives the picked option, fractional score, or P(true) together with full per-level probabilities and a confidence score. Callers then route on confidence — ≥0.85 automatic, 0.5–0.85 drafted for human confirmation, below 0.5 escalated — with thresholds tuned to the action's risk profile.

Dependencies and caveats are explicit. The default openai channel works with DeepSeek's own API, Ollama, vLLM, OpenRouter, SiliconFlow, LM Studio, or an air-gapped internal gateway; the typesafe channel needs JEV_TYPESAFE_API_KEY plus reachability to api.typesafe.ai. On the openai channel the probabilities are the model's self-reported estimates, not mathematically calibrated, and every result carries this caveat; retries handle 429/5xx with exponential backoff (default 3), renormalisation fixes non-summing distributions, thinking models that answer in reasoning_content are supported, and the project is released under MIT.

dsh-jev-adapter 是面向 DeepSeek Harness (DSH) 的原生插件,把 Jev(System One)决策模型范式以 jev_decide 工具注册到 Agent 中,可由 DSH 直接加载调用。安装方式为 dsh plugin --profile <profile> add github:BetterZflyee/dsh-jev-adapter,发布后也可通过 npm 名 dsh-jev-adapter 安装,配置写入 cordis.patch.yml 的插件条目或通过 JEV_OPENAI_API_KEY 等环境变量注入,重启 DSH 后生效。

该插件适合需要把模糊判断转成结构化概率分布的用户,典型场景是工单分类、风险分级、A/B 抉择等。Agent 把所有判断合并成一次类型化问题调用(choice ≤255 项 / score 2–10 级 / boolean),返回完整概率与置信度,用户据此路由:≥0.85 自动执行,0.5–0.85 草稿待人确认,<0.5 转人工。它与 zhangxaochen/dsh-jev 互补:后者走官方 TypeSafe API 并带安全护栏,本插件走任意 OpenAI 兼容端点。

依赖与限制方面,openai 通道支持 DeepSeek、Ollama、vLLM、OpenRouter、硅基流动、LM Studio 或内网网关;typesafe 通道需要 JEV_TYPESAFE_API_KEY 与 api.typesafe.ai 连通。openai 通道的概率为模型自述估计而非数学校准,每个结果都带提示;429/5xx 走指数退避,默认 3 次;思考模型 reasoning_content 已处理;许可证 MIT。

Pre-install check安装前体检Compatibility · Security兼容性 · 安全性 1 warning1 项注意
  • Only 4 stars - very few users, little community feedback星标只有 4,几乎没人在用,遇到问题缺少社区反馈
DSH walks through these 9 checksDSH 会逐条核对这 9 项

Compatibility兼容性

  • DSH, Node, OS and profile requirementsDSH 版本 / Node 版本 / 操作系统 / profile 是否满足要求
  • External dependencies and runtimes (Electron / Python / Docker, ...)外部依赖与运行时(Electron / Python / Docker 等)是否齐备
  • Conflicts with installed plugins: command names, skill / tool names, ports, duplicate MCP registration与已装插件是否冲突:命令名、skill / tool 重名、端口占用、重复 MCP 注册

Security安全性

  • Repo matches the facts registered here; archived or abandoned?仓库是否与页面登记一致,是否归档或长期停更
  • Safety of preinstall / install / postinstall and install.sh / setup.ps1preinstall / install / postinstall 与 install.sh、setup.ps1 是否安全
  • curl|bash, download-then-execute, obfuscation, unrelated domains → stop immediatelycurl|bash、下载即执行、混淆代码、无关域名 → 立刻停止
  • Typosquatting or unmaintained packages among the new dependencies新增依赖里有没有 typosquatting 或无人维护的包
  • Requested permissions vs. what the feature actually needs申请了哪些权限、是否超出功能所需(filesystem / network / shell / clipboard)
  • Any sudo / admin requirement, plus uninstall and rollback是否要求 sudo / 管理员权限,以及卸载与回滚方式

Anything uncertain must be marked unknown with a note on how to confirm it. This site's signal screen is a static snapshot, not a security audit.拿不准的必须标「未知」并说明要我怎么确认。本站的信号筛查是静态快照,不能替代安全审计。

Or use CLI install (for developers)或使用命令行安装(适合开发者)

CLI Install命令行安装

dsh plugin --profile web add dsh-jev-adapter

把 BetterZflyee/dsh-jev-adapter 加入你的 DSH 配置(web profile)即可启用。

READMEREADME

dsh-jev-adapter

English | 中文


Use the Jev (System One) decision-model paradigm with any OpenAI-compatible LLM — no TypeSafe API key required. Registers a jev_decide tool on DeepSeek Harness (dsh).

Jev (TypeSafe AI) is a decision model: you send a state plus typed questions (choice / score / boolean), it returns calibrated, probability-distributed answers — no text generation. This plugin brings that paradigm to any chat model you already have, and can also talk to the real Jev API if you have a key.

Why

  • zhangxaochen/dsh-jev (worth checking out) integrates the official TypeSafe API — great if you have a key and can reach api.typesafe.ai.
  • This plugin covers everyone else: any OpenAI-compatible endpoint works — DeepSeek's own API, Ollama, vLLM, OpenRouter, SiliconFlow, LM Studio, or an air-gapped internal gateway.
  • Probabilities on the openai channel are the model's self-reported estimates (not mathematically calibrated — every result carries this caveat). On the typesafe channel you get the real thing.

What you get

One tool, jev_decide, callable by the agent:

Question type You provide You get back
choice options map (≤255) picked option + full probability distribution + confidence
score ordered levels (2–10) fractional score + per-level probabilities + confidence
boolean a statement P(true)

Ask many questions in one call — 1 and 10 questions cost about the same.

Install

dsh plugin --profile <profile> add github:BetterZflyee/dsh-jev-adapter
# or, once published on npm:
dsh plugin --profile <profile> add dsh-jev-adapter

Then set one environment variable and restart dsh:

# openai channel (default) — point at any OpenAI-compatible endpoint
export JEV_OPENAI_API_KEY="sk-..."
# optional overrides:
# export JEV_BASE_URL="https://api.deepseek.com/v1"   # or Ollama/vLLM/OpenRouter/...
# export JEV_MODEL="deepseek-chat"

Or configure in cordis.patch.yml instead of env vars (see below).

Configure

All settings live in the plugin row in cordis.patch.yml:

Showing the opening section of the README — the full document lives in the repository以上为 README 开头摘要,完整文档在仓库内 · View the full README on GitHub →在 GitHub 查看完整 README →

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