Bundle
@woyeshishen/dsh-vision-plugin
为 DeepSeek Harness 提供外部视觉模型能力:纯文本主模型通过 describe_image 工具调用外部视觉模型看图,拿到纯文字描述(多模态补全)。静态 Cordis 插件,随 DSH 启动自动加载。
- Source
- woyeshishen
- stars
- 2 stars
- License
- Apache-2.0
- Updated
- Updated 19 hours ago
Readme
# dsh-vision-plugin [](https://www.npmjs.com/package/@woyeshishen/dsh-vision-plugin) [](LICENSE) [中文](README.zh.md) | English Adds **image understanding** to [DeepSeek Harness](https://github.com/deepseek-ai/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 understanding** | The main model calls `describe_image` and gets a plain-text description | | ⚙️ **GUI configuration** | Fill in URL / API key / model on a settings page — no config files to edit | | 🔒 **Secure credentials** | API key stored in the credential store, never echoed | | 📦 **Install once, keep working** | Auto-loads at DSH startup, survives restarts | ## Install ### One-liner (recommended) **Windows (PowerShell)** ```powershell irm https://raw.githubusercontent.com/woyeshishen/dsh-vision-plugin/main/scripts/install.ps1 | iex ``` **macOS / Linux** ```sh bash <(curl -fsSL https://raw.githubusercontent.com/woyeshishen/dsh-vision-plugin/main/scripts/install.sh) ``` ### dsh plugin command **From npm** ```sh dsh plugin --profile web add @woyeshishen/dsh-vision-plugin ``` **From GitHub** ```sh 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**: | Field | Description | | --- | --- | | URL (Base URL) | OpenAI-compatible endpoint, e.g. `https://api.example.com/v1` | | API key | Secret for the external model (stored encrypted, never echoed) | | Model | Click "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` | Parameter | Required | Description | | --- | --- | --- | | `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](https://github.com/deepseek-ai/deepseek-harness) - An OpenAI-compatible (`/chat/completions`), image-capable external vision model ## License [Apache-2.0](LICENSE)
Install
dsh plugin --profile web add github:woyeshishen/dsh-vision-plugin
Profile: web
With the hub plugin installed, ask your agent to install it by name — it resolves the same plan shown here.
dsh plugin --profile web add github:stvlynn/dsh.fish#path:packages/dsh-plugin-hub
install woyeshishen-dsh-vision-plugin from the hub
- This package builds from source on install. pnpm will ask you to allow its build script — that is permission to run the package’s code on your machine, outside the agent sandbox. Only allow sources you trust.
- This source has no pinned commit, so a later push upstream changes what installs. Prefer pinning a commit.