Agent 工具

jev-dsh-decision

@Devin-AXIS4JavaScript更新于 2026-09-20可当场跑

Jev DSH 决策引擎是面向 Agent Harness 的结构化决策插件,支持 DeepSeek Harness 和通过 iPolloWork 支持 OpenCode、Codex Harness。

英文原文

Jev DSH 决策引擎|面向 Agent Harness 的结构化决策插件。原生支持 DeepSeek Harness,通过 iPolloWork 支持 OpenCode、Codex Harness。

Devin-AXIS/jev-dsh-decision

它在哪儿调用了 Jev

const ENDPOINT = 'https://api.typesafe.ai/v1/systemone';

service/jev.mjs:4

链接指向我们抓取当天的那个 commit,行号是准的。

它问 Jev 的问题

下面是从这个项目源码里原样取出来的 question 组合。

取自 service/jev.mjs:147

  1. connected是/否

    Does this text describe a connection check?

用你自己的内容跑一遍

代码
import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    connected: { type: 'boolean', instructions: 'Does this text describe a connection check?' },
  },
});

取自 tests/jev.test.mjs:6

  1. owner选项

    Which agent?

    • writerWrites text
    • slidesCreates slides
  2. quality打分

    Rate clarity.

    • 0unclear
    • 1clear
    • 2excellent
  3. review是/否

    Need a reviewer?

用你自己的内容跑一遍

代码
import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    owner: { type: 'choice', instructions: 'Which agent?',
      criteria: { writer: 'Writes text', slides: 'Creates slides' } },
    quality: { type: 'score', instructions: 'Rate clarity.',
      criteria: ['unclear', 'clear', 'excellent'] },
    review: { type: 'boolean', instructions: 'Need a reviewer?' },
  },
});

取自 tests/work.test.ts:64

  1. need_slides是/否

    Does this task need slides?

用你自己的内容跑一遍

代码
import { experimental_evaluate as evaluate } from 'ai';

const { answers } = await evaluate({
  model: 'typesafe-ai/jev',
  state,
  questions: {
    need_slides: { type: 'boolean', instructions: 'Does this task need slides?' },
  },
});

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