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dsh-jev

Jev

DeepSeek Harness plugin that connects any DSH agent to TypeSafe Jev.

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add github:noetion/dsh-jev#2ac3c66145e877f6ac31fd2da667861b0607a976
READMECompatibilityVersions

Compatibility and provenance

Jev is published as dsh-jev and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
github
Registry updated
9/17/2026

Versions

0.1.0stable
9/17/2026

Related plugins

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Latest
0.1.0
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
Unavailable
Files
Unavailable
Surface
any
License
MIT
Source
github
GitHub
★ 4
Weekly downloads
0
Last push
9/29/2026
View source ↗
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README

dsh-jev

A DeepSeek Harness plugin that gives any DSH agent a native Jev capability.

Jev is TypeSafe's System One model. It returns typed noul, choice, and score answers. It does not generate chat or code. This plugin registers jev_ask so the session LLM, Code mode, and other DSH agents can call Jev the same way they call bash.

Install

Build once, then add the package to a profile.

pnpm install
pnpm run build
dsh plugin --profile web add /absolute/path/to/dsh-jev

From GitHub after you allow the prepare build:

dsh plugin --profile web add github:noetion/dsh-jev

Set TYPESAFE_API_KEY in the process environment, or store that same name in DSH credentials. The plugin reads the key on every call. It does not put the secret in cordis.yml.

Use

Ask the agent to call jev_ask, or invoke the bundled jev skill. One call can mix question types over the same state.

{
  "state": "Help! My payouts have been failing for 3 days.",
  "questions": {
    "is_urgent": {
      "type": "noul",
      "instructions": "Does this convey urgency?"
    },
    "department": {
      "type": "choice",
      "instructions": "Which team should handle this?",
      "criteria": {
        "billing": "Payments, invoicing, refunds",
        "technical": "Bugs, outages, integrations",
        "sales": "Pricing, upgrades, new accounts"
      }
    }
  }
}

The tool result is the TypeSafe JSON. Your agent branches on answers.<id>.noul, .choice, .score, and .confidence.

Configure

Optional cordis.yml fields on the jev row:

  • model, default jev-latest
  • endpoint, default https://api.typesafe.ai/v1/systemone
  • apiKeyEnv, default TYPESAFE_API_KEY

Develop

pnpm install
pnpm run check

pnpm run check typechecks, runs the mock HTTP tests, and builds the bundle.

Live TypeSafe proof, with a key in the environment:

pnpm run live

Install-and-load proof against a throwaway DSH_HOME:

pnpm run verify-boot

@deepseek-ai/dsh-tools is pinned to 0.1.5-rc.2 (the next dist-tag). npm latest is a stale 0.0.1-rc.1. Do not replace the pin with an untagged install.

Why this is not an LLM adapter

An LLM adapter must stream text and tool-call chunks. Jev answers typed questions. Wiring it as a chat provider would be a lie. The native DSH seam for Jev is a tool plus, when the profile has ctx.skills, a bundled skill.