dsh-tool-vision-read

Unofficial community plugin. Independently developed and maintained; not part of the official DeepSeek Harness distribution.

A lightweight DeepSeek Harness plugin that registers a vision_read tool: it reads an image file through a dedicated vision model route and returns a text description — so a text-only agent (a model whose route does not declare image input, e.g. a chat model without vision) can still "see" images.

It is the same idea as routing different roles to different models (e.g. oh-my-pi's modelRoles), applied to one narrow capability: image description. No third-party CLI (modlens etc.), no manual delegation — the plugin does it in one call.

How it works

Mode	Behavior	Cost
direct (default)	The plugin reads the file, commits it through the attachment service, and makes one llm.stream call to the configured vision provider/model with a text+image message.	One round trip, no agent loop.
subagent	The plugin starts an in-process subagent pinned to the vision route (agentOptions), which calls read_image itself and can iterate (zoom, OCR, follow-ups).	Full agent loop, more flexible.

The tool always routes to the configured vision route, regardless of the calling model. Mounting fails loud when the route is missing; a call fails with guidance when the resolved route does not declare image input (declare it in the provider settings, e.g. defaultInput: [text, image] for pi-ai routes).

Requirements

• A DeepSeek Harness deployment (source checkout or out-of-tree profile install).
• A vision-capable model route. The plugin was verified against Kimi Coding API (k3-256k, which accepts image input) — any provider that supports image content blocks works.

Install

Option A: inside the deepseek-harness monorepo (recommended for development)

Copy this package under packages/vision/tool-vision-read (or install from git), then:

pnpm install

Register the package in tsconfig.base.json (add ./packages/vision/*/src to the @deepseek-ai/dsh-* wildcard and the @deepseek-ai/dsh-*/invariant wildcard) and in tsconfig.host.json references, then mount it — see the official adding-a-package cookbook.

Option B: out-of-tree install into your dsh profile

Add the git dependency to your profile manifest and insert the plugin row into your profile patch ($DSH_HOME/profiles/<profile>/package.json and cordis.patch.yml):

// $DSH_HOME/profiles/web/package.json
{
  "dependencies": {
    "@deepseek-ai/dsh-tool-vision-read": "github:Mappedinfo/dsh-tool-vision-read"
  }
}

# $DSH_HOME/profiles/web/cordis.patch.yml
- insert:
    - id: tool-vision-read
      name: '@deepseek-ai/dsh-tool-vision-read'
      config:
        provider: kimi-coding   # your vision provider route
        model: k3-256k          # your vision model
        # mode: direct          # 'direct' (default) | 'subagent'

cd $DSH_HOME/profiles/web && pnpm install

Restart dsh web. The @deepseek-ai/* peer packages are satisfied by the dsh installation's module closure ($DSH_HOME/profiles/node_modules flat fallback) — autoInstallPeers: false keeps pnpm from pulling older registry copies.

Configuration

Key	Type	Default	Meaning
provider	string	— (required)	Registered provider route owning the vision model.
model	string	— (required)	Vision model id on that route.
toolName	string	vision_read	Model-facing tool name.
mode	'direct' | 'subagent'	'direct'	Execution mode.
maxImageBytes	number	attachment limits	Cap on image bytes sent to the vision route.
maxOutputTokens	number	1024	Cap on the vision route's output tokens.
prompt	string	see source	Instruction sent beside the image; {{path}} and {{focus}} placeholders.

Tool contract

vision_read(file_path: string, focus?: string)

Returns { path, provider, model, description } — the vision model's text description of the image. Accepts PNG/JPEG/WebP/GIF paths only; paths resolve against the calling session's workspace cwd.

Example

A text-only agent (deepseek-v4-flash) calling vision_read on a campus-gate photo, with the description produced by Kimi K3-256K through the kimi-coding route:

user: 请用 vision_read 看一下 /Users/shiqi/Downloads/微信图片_20260816082109_883_131.jpg 并描述内容
agent: (vision_read) → "这是一张横构图、白天拍摄的现代城市/园区街景照片……天空与云约占画面上方 2/3……
        左侧一栋多层建筑转角呈弧形……中右一座较低的建筑带弧形屋顶边缘和竖向格栅外立面……"

Layout

src/index.ts          # plugin (name/inject/apply/Config) + vision_read tool
src/invariant.ts      # package invariant companion (no runtime invariant)
lib/                  # reference build emitted from the deepseek-harness monorepo
tests/                # vitest spec (runs in the monorepo context)
docs/dsh-discussion-draft.md   # DeepSeek Harness "Show Your Plugins!" draft

Notes

• lib/ is the reference build generated from the package inside the deepseek-harness monorepo (packages/vision/tool-vision-read); the tests run against the monorepo toolchain. The git dependency installs the committed lib/ directly.
• Developed and verified end-to-end: a text-only agent (deepseek-v4-flash) calling vision_read on a JPEG received a correct description from Kimi K3-256K.

License

MIT