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dsh-vision-LMstudio

Verified · install-tested on dsh TiankunDai

✓ Actively maintained Pure TypeScript

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2026-08-15Last push
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What it does

dsh-vision-LMstudio — DSH plugin (llm)

✅
Our take
Works — verified, early-stage project

dsh-vision-LMstudio — DSH plugin (llm) It installs cleanly and boots without issues in our testing. It's early-stage but functional.

“Verified” means our automated CI actually ran dsh plugin add in a clean profile and it booted — nothing more. Feature descriptions and version compatibility are the author’s claims. This is not a security audit and not an endorsement of third-party code.

README

dsh-vision-LMstudio

Local LM Studio vision recognition plugin for DSH (DeepSeek Harness) Web GUI —
recognize, describe, and OCR local images or clipboard screenshots with a local
vision model. All inference happens on your own machine; images never leave it.

本插件为 DSH(DeepSeek Harness)Web GUI 提供本地 LM Studio 视觉识别能力:连接
LM Studio 的 OpenAI 兼容接口(默认 http://127.0.0.1:1234),
调用其视觉模型对本地图片与 Windows 剪贴板图片做识别、描述与 OCR,图片不出本机。

Features

  • Agent tools (registered host-side, available in every session)
    • lmstudio_vision — recognize a local image file by absolute path
    • lmstudio_clipboard — recognize the current clipboard image (screenshot / copied image), no file path needed
    • lmstudio_models — list loaded models with vision-capability labels
  • Settings panel:「设置 → LM Studio 视觉识别」— configure server URL / model / default
    prompt / temperature / max tokens, refresh the model list, and one-click recognize a
    local image or the clipboard
  • Automatic model selection — without an explicit model, picks
    gemma-3/4 → other vision models → other non-embedding models in that order
    (prefers google/gemma-4-31b-qat for accuracy; minicpm-class models are not recommended)
  • Persistent config — ~/.dsh/dsh-lmstudio-vision.json (atomic writes), shared by the
    panel and the agent tools

Requirements

  • DSH (DeepSeek Harness) with the web profile
  • LM Studio with a vision model loaded and the local server started
    (Developer → Start Server, default port 1234)
  • Windows for the clipboard tool (uses Windows PowerShell 5.1 Get-Clipboard -Format Image)

Install

pnpm install
pnpm build
dsh plugin --profile web add link:<path-to-this-repo>/packages/dsh-lmstudio-vision

Then restart DSH (dsh web) and refresh the page. dsh plugin appends the package
to dsh.profile.bundles automatically (the package declares dsh.bundle).

安装后重启 DSH 并刷新页面:设置页出现「LM Studio 视觉识别」面板,三个 agent 工具随宿主
常驻,任何会话都可用。

Configuration

Configurable from the settings panel or by editing ~/.dsh/dsh-lmstudio-vision.json:

{
  "baseUrl": "http://127.0.0.1:1234",
  "model": "",
  "prompt": "请详细描述这张图片的内容。",
  "temperature": 0.2,
  "maxTokens": 1024
}

Repository layout

  • packages/dsh-lmstudio-vision/src/index.ts — host half: LM Studio engine, API routes,
    agent tools, system-prompt announcement
  • packages/dsh-lmstudio-vision/src/client/ — browser half: the settings panel
  • packages/dsh-lmstudio-vision/cordis.patch.yml — bundle patch plugin row
  • shared/tsdown.client.ts — build preset (follows the dsh-web-ui clientBundle convention)

License

BSD-3-Clause

Install

🧩 Let your agent install it (recommended)

Install the catalog once, then DeepSeek Harness can find and install any plugin from this site automatically:

dsh plugin add dshbase-catalog

Then say "install dsh-vision-LMstudio for me" — your agent finds it in the directory and installs it. Docs: dshbase-catalog · verified packs.

This plugin is GitHub source (not published to npm) — install it straight from the repo:

Web profile:

dsh plugin --profile web add github:TiankunDai/dsh-vision-LMstudio

Headless (CLI) profile:

dsh plugin --profile headless add github:TiankunDai/dsh-vision-LMstudio

Test report

Verified: L1 install + L2 load + L3 runtime from GitHub source on dsh 0.1.0-rc.6.

When to use it

Extend the agent's coding surface — give it a new tool, workflow, or integration so it handles a dev task it couldn't before.

Who it's for

Developers who want dsh to behave like a teammate on real codebases — editing, running, and verifying changes rather than just answering.

For developers — extending it

The tool/command surface is the seam: expose more of the SDK, add smarter context wiring, or tighten the loop between code changes and verification.

Security: not yet scanned — our daily static scan will cover it shortly.

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