DeepSeek Harness plugin

dsh-prompt-optimizer

Polishes the draft in the composer into a clearer, better-structured prompt from the ✨ button or Alt+O; streams the result live over SSE with reasoning shown first, and follows the session's default model with zero configuration or any OpenAI-compatible endpoint.

Jump to install

Source facts

Repository
winditer/dsh-prompt-optimizer
Latest update
Aug 19, 2026
Category
UI Enhancements
GitHub stars
0

Install

Start with a prompt that asks an agent to read the source. Switch to the command if you want to install it yourself.

Copy this prompt into DSH, Codex, or another agent and ask it to read the page and repository first.

Do not install anything yet. Read this DeepSeek Harness plugin and explain what it does, which files, networks, or credentials it can access, and how to install and remove it.

Plugin page: https://deepseekplugins.org/plugins/winditer/dsh-prompt-optimizer
GitHub: https://github.com/winditer/dsh-prompt-optimizer
Plugin: dsh-prompt-optimizer
Author: winditer
Install command: dsh plugin --profile web add dsh-prompt-optimizer

Do not run the install command until I confirm.

Check the source files

Read the README and other files from this plugin directory before installing.

File explorer3 files
README.mdSource · read only

<p align="center"> <img src="assets/screenshot.png" width="70%" alt="dsh-prompt-optimizer preview card"> </p>

dsh-prompt-optimizer

English | [中文](README.zh.md)

![License: MIT](LICENSE) ![Node](package.json) ![npm](https://www.npmjs.com/package/dsh-prompt-optimizer)

One-click prompt polishing for the DSH composer: select nothing, just type a draft and press (or Alt+O) — the plugin rewrites it into a clearer, better-structured prompt. Zero-config by default: it follows the current session's model through the harness host services, so no API key is needed. A self-configured OpenAI-compatible endpoint is supported as an alternative.

Features

  • One-click optimize — a ✨ button on the composer's right; Alt+O while the composer is focused does the same
  • True streaming preview — real SSE over the harness webServer: every text-delta from llm.stream is pushed immediately and rendered token by token; reasoning is streamed first, so you watch the model think while it works
  • Zero-config default — reuses the current session/agent default model (host agentDefaultModel + llm services), no API key required
  • Custom endpoint mode — uncheck "follow session model" and plug in any OpenAI-compatible /chat/completions endpoint (base URL + key + model)
  • Action row on completion — replace the draft in place, copy, re-optimize, or dismiss
  • Bilingual UI — follows the DSH language (中文 / English) live, no reload
  • Self-hosted config — settings persist in ~/.dsh/prompt-optimizer-config.json via a loopback RPC channel, independent of the host settings registry
  • Dark-mode ready — all colors follow DSH theme variables; fixed brand blue + white text in deep-night mode
  • Local-only credentials — the API key (custom mode only) lives in the local config file and goes only to the endpoint you configured

Screenshots

<p align="center"> <img src="assets/screenshot.png" width="90%" alt="Optimization preview card with reasoning and streaming result"> </p>

Requirements

  • DSH with a web or desktop profile
  • Node.js ^22.19.0 or >=24.0.0 (only needed to build from source)
  • pnpm is recommended when installing into a profile

Install

> The bundle entry (id: prompt-optimizer) is self-declared by this package's cordis.patch.yml — > no manual patch file is needed.

From npm

dsh plugin --profile desktop add dsh-prompt-optimizer

For a web profile, use --profile web. Restart DSH (quit fully and reopen), then a ✨ button appears to the right of the composer.

From source (development)

git clone https://github.com/winditer/dsh-prompt-optimizer.git && cd dsh-prompt-optimizer
npm install
npm run build          # produces dist/client.js
dsh plugin --profile desktop add .    # links the workspace into the profile by package name

Or install by hand: in the target profile's package.json (e.g. ~/.dsh/profiles/desktop/package.json):

{
  "dependencies": {
    "dsh-prompt-optimizer": "link:/absolute/path/to/dsh-prompt-optimizer"
    // ...
  },
  "dsh": {
    "profile": {
      "bundles": [ /* ... */, "dsh-prompt-optimizer" ]
    }
  }
}

then pnpm install inside the profile directory and restart DSH.

Uninstall

Remove dsh-prompt-optimizer from the profile's dependencies and dsh.profile.bundles, clean up the installed package, and delete the config file ~/.dsh/prompt-optimizer-config.json if you no longer need it.

Usage

  • Type a draft in the composer, click (or Alt+O) — the preview card appears over the composer
  • While optimizing: reasoning text scrolls in secondary color first, then the polished prompt streams in token by token
  • When done: 替换草稿 writes the result into the composer in place · 复制 copies it · 重新优化 re-runs · 放弃 dismisses
  • The preview belongs to the session where you started it: switching sessions hides it, switching back restores it

Configuration

Open 设置 → 通用设置 → Prompt 优化:

SettingDefaultMeaning
使用当前会话模型onFollow the session/agent default model (zero-config). Off: enable the fields below
接口地址 (base URL)https://api.deepseek.comAny OpenAI-compatible /chat/completions endpoint
API KeyYour key for the custom route (ignored in follow mode)
模型名deepseek-v4-flashModel name (ignored in follow mode)

Settings are saved in ~/.dsh/prompt-optimizer-config.json (same directory as other DSH config; removed with the plugin).

> Custom endpoints must support CORS and SSE streaming (official DeepSeek, OneAPI-style gateways work).

Architecture

Two halves, one package:

  • Host halflib/index.js. Persists config over a loopback RPC channel (/dsh-prompt-optimizer, get/set), and registers an HTTP JSON API at /dsh-prompt-optimizer/api through the harness webServer service. Runs the session-default optimization via llm.stream; background streams live in an in-memory Map cleared on unload.
  • Client halfsrc/*.ts, bundled to dist/client.js (esbuild, wrapped in __ModuleLoader__.load({ id: "dsh-prompt-optimizer", … }); the id must equal the installed package name). Renders into the conversation.input.right button, conversation.input.overlay preview card and settings.general.item row; talks to the host with fetch POSTs.

Host API

All endpoints are POST /dsh-prompt-optimizer/api/<method>; every response is { ok: true, value } or { ok: false, error }.

MethodBodyReturns
sessionModel{}{ provider, model, reasoningEffort? } — the session's default model
optimize.stream{ provider, model, text, system?, reasoningEffort? }text/event-streamevent: reasoning frames first, then event: delta per token, event: done at the end
optimize.start{ provider, model, text, system?, reasoningEffort? }{ taskId } — background accumulation (fallback path)
optimize.poll{ taskId }{ done, text, error? } — accumulated text while streaming
optimize.abort{ taskId }{ ok }

Protocol details: only POST is accepted (405 otherwise); the body is JSON with a 1 MB cap; unknown methods return 404.

Security notes

  • Default route sends no credentials — it reuses the harness's configured provider.
  • The custom-mode API key stays local (~/.dsh/prompt-optimizer-config.json), and only goes to the endpoint you configured.
  • Optimizations appear only in the preview card; the polished text reaches a session only if you press 替换草稿.

Development

npm run build   # esbuild: src/index.ts → dist/client.js (__ModuleLoader__ bundle)
npm test        # node runner over tests/entry.ts (state machines, channels, SSE parser)

Project layout

src/index.ts          Client entry — slot wiring, RPC/config glue, host probes
src/OptimizeButton.tsx / PreviewCard.tsx / SettingsRow.tsx
src/optimizer.ts      Config defaults, system prompts, OpenAI-compatible fetch/SSE client
src/session-optimizer.ts  Host channel: sessionModel + SSE stream + fallback poll
src/preview-state.ts  Preview card state machine (pure reducer)
src/preview-bus.ts    Module-level event bus shared by button / card / orchestration
lib/index.js          Host half — config persistence + HTTP JSON API (makeHandler + createApiRoute)
dist/client.js        Built client bundle (__ModuleLoader__ format, load id = dsh-prompt-optimizer)
cordis.patch.yml      Bundle entry declaration (insert: { id: prompt-optimizer, name: dsh-prompt-optimizer })
scripts/build.mjs     Build script (esbuild + bundle wrapper)
tests/entry.ts        Unit + integration tests (61)
assets/               Screenshot

Gotchas (learned the hard way)

  • Bundle id must equal the package namearrive() throws bundle loaded without registering <id> otherwise. scripts/build.mjs hardcodes the correct id.
  • Profile bundles don't get the cordis timer service — use plain browser setInterval/setTimeout (disposed in React effect cleanup), exactly like the sibling dsh-elf bundle.
  • Do not use session.create/fork for generation — a background session never executes (the renderer's fabricated ids are silently rejected, forked sub-sessions don't trigger the model), which manifested as "optimizing forever". Drive the model from the host half via llm.stream instead.
  • Do not run the streaming protocol over connection.rpc.call — on desktop the renderer's rpc.call hangs on the second call within one flow (verified: sessionModel ok, next call never arrives). Host channels go over HTTP (webServer).
  • Prefer link: over file: when installing a workspace copy — file: copies files, so edits/rebuilds go stale.
  • Client changes go live on page refresh; host changes require a full DSH restart.
  • A broken build script silently keeps the old bundlenpm run build must print ✓ Built; if it only prints a Node version banner, the script is failing (a past regression left a stale dist/client.js that looked "current").
  • Fresh publishes can trip the profile's minimumReleaseAge policy — if the profile enforces pnpm's release-age supply-chain check, a version published less than ~24 h ago fails dsh plugin … add <pkg> with ERR_PNPM_MINIMUM_RELEASE_AGE_VIOLATION. Add the exact name@version to minimumReleaseAgeExclude in the profile's pnpm-workspace.yaml (and keep the entry current when you release a new version):

``yaml minimumReleaseAgeExclude: - dsh-prompt-optimizer@2.0.0 ``

License

[MIT](LICENSE)