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Vision Plugin — DSH Plugin for DeepSeek Harness
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@woyeshishen/dsh-vision-plugin

Vision Plugin

Provides external vision model capabilities for DeepSeek Harness: the text-only primary model uses the describe_image tool to call an external vision model to analyze images and receive a text-only description (multimodal completion). A static Cordis plugin that loads automatically when DSH starts.

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

npx -y @deepseek-ai/dsh plugin --profile web add @woyeshishen/dsh-vision-plugin@1.0.4
READMECompatibilityVersions

Compatibility and provenance

Vision Plugin is published as @woyeshishen/dsh-vision-plugin and currently resolves to version 1.0.4. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
web
Release source
npm
Registry updated
9/20/2026

Versions

1.0.4stable
8/15/2026
1.0.3stable
8/15/2026
1.0.2stable
8/15/2026
Show 2 more versionsCollapse versions
1.0.1stable
8/14/2026
1.0.0stable
8/14/2026

Related plugins

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Latest
1.0.4
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
88.1 kB
Files
21
Surface
web
License
Apache-2.0
Source
npm
GitHub
★ 2
Weekly downloads
48
Last push
8/15/2026
View source ↗Project homepage ↗
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Tool Describe Image@linxin666/dsh-tool-describe-imageModel-facing describe_image tool for the dsh web GUI: gives a text-only model image understanding by asking a vision-language model at an OpenAI-compatible endpoint to describe one image (local path, http(s) URL, or attachment reference). Hot-pluggable — Modlens@liustack/modlensPlug-in vision for text-only LLMs, powered by the free Antigravity CLIDeepseek Ivideodeepseek-ivideoiPolloWork HyperFrames Video Studio and 27 editable video templates as a native DeepSeek Harness conversation view.Codexdsh-codexChatGPT OAuth, Codex models, search, read_image URL support, and gpt-image-2 generation for DeepSeek Harness

README

dsh-vision-plugin

中文 | English

Adds image understanding to DeepSeek Harness (DSH): wire up an OpenAI-compatible external vision model, and a text-only main model (e.g. deepseek) can call the describe_image tool to hand an image to it and get a plain-text description — understanding screenshots, photos, charts, OCR, UIs, and more.

Design: images go only to the secondary model (external vision model); the main model always deals with text.

Features

🖼️ Image understandingThe main model calls describe_image and gets a plain-text description
⚙️ GUI configurationFill in URL / API key / model on a settings page — no config files to edit
🔒 Secure credentialsAPI key stored in the credential store, never echoed
📦 Install once, keep workingAuto-loads at DSH startup, survives restarts

Install

One-liner (recommended)

Windows (PowerShell)

irm https://raw.githubusercontent.com/woyeshishen/dsh-vision-plugin/main/scripts/install.ps1 | iex

macOS / Linux

bash <(curl -fsSL https://raw.githubusercontent.com/woyeshishen/dsh-vision-plugin/main/scripts/install.sh)

dsh plugin command

From npm

dsh plugin --profile web add @woyeshishen/dsh-vision-plugin

From GitHub

dsh plugin --profile web add github:woyeshishen/dsh-vision-plugin

After install, the plugin auto-mounts into the profile; restart DSH (or hot-reload) to activate.

Usage

Step 1: Configure the external vision model

Open Settings → Multimodal Vision:

FieldDescription
URL (Base URL)OpenAI-compatible endpoint, e.g. https://api.example.com/v1
API keySecret for the external model (stored encrypted, never echoed)
ModelClick "Load models" to fetch and pick from the endpoint

Click Save.

Step 2: Ask the main model to look at an image

In a conversation, say:

Take a look at D:\path\to\image.png and describe what's in it.

The main model calls describe_image, sends the image to the external vision model, and continues reasoning from the returned description.

Tool

describe_image

ParameterRequiredDescription
path✅Image file path; supports png / jpg / jpeg / webp / gif
prompt❌Specific question about the image; defaults to "describe the image in detail"

Requirements

  • DeepSeek Harness
  • An OpenAI-compatible (/chat/completions), image-capable external vision model

License

Apache-2.0