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dsh-vision-toolkit

⭐ 802 · ✅ active · plugin · ⬆️ +20 recently
Type plugin Category Vision & multimodal
Stars ⭐ 802 Status ✅ active
Author Anionex Updated 2026-08-20
Subcategory 👁️ Vision tools Capabilities multimodal, vision, research

One-liner

Vision toolkit for text-only models: intent-aware image Q&A, long-screenshot OCR, UI restoration, grounding and pixel diff.

About

A more powerful vision toolkit—give text-only models in DeepSeek Harness eyes: image Q&A, long-screenshot OCR, UI restoration, and GUI visual tasks in one toolkit and Skill. 🚀 Paste an image and ask directly | Install with one command | Broad use cases Highlights | Quick start | Toolbox | Configuration and limits | Troubleshooting | Community 🏆 This project is the first comprehensive vision-tool plugin in the DeepSeek Harness ecosystem: it was initiated before internal beta and built during the beta with reference to agent-vision-toolkit.

✨ Key Features

  • Paste an image and ask directly. In DSH Web, pasting an image switches the text-only model to its (Vision Toolkit) variant automatically — no manual path
  • One command to install. After installation, configure a vision provider in Settings → Vision Toolkit and start using the tools.
  • Not just a caption — the content that matters. The model does not produce a generic description; it extracts evidence around the current task, such as “Wher
  • A battle-tested visual-task methodology. The bundled Skill tells the agent what to look at for different visual tasks, which tool to choose, how to proceed,

📦 Install

dsh plugin --profile web add @anionex/dsh-vision-toolkit

🚀 Quick Start

dsh plugin --profile headless add @anionex/dsh-vision-toolkit

📚 Learn more

Screenshot to editable page

Prompt example: “(Use vision-skills) Rebuild this image into HTML.” Left: the reference screenshot. Right: an editable HTML/CSS result. The result can continue into screenshot rendering and pixel comparison instead of ending as an image description.

1. Install

dsh plugin --profile web add @anionex/dsh-vision-toolkit You can install it into a Headless Profile too: dsh plugin --profile headless add @anionex/dsh-vision-toolkit Using DSH Desktop? It bundles its own dsh CLI and intentionally does not add it to your system PATH. Open DSH Terminal from the tray and run the command there, targeting the Desktop profile: dsh plugin --profile desktop add @an

Configure a vision model

Configure the vision provider in Settings → Vision Toolkit and store the API key as a DSH Credential. Settings stores the Credential reference and never reads the saved secret back into the browser. Step-by-step AIHubMix tutorial: Get an AIHubMix API key and configure Gemini 3.7 Flash for vision. It includes screenshots for account/API-key setup, the exact

Configure the Python runtime

Most users never need to configure the Python runtime: the plugin prefers a system Python 3.11+ and otherwise downloads a pinned standalone Python automatically from the domestic mirror, falling back to GitHub when the mirror is unreachable. For advanced setups — overriding runtime.python, using runtime.mode: external, verifying the runtime, or allowing additional input directories — see [Pyth