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dsh-img

Model Inference Updated 2026.08.16

Run the following command in DeepSeek Harness:

dsh plugin install gmleong/dsh-img

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install gmleong/dsh-img in DeepSeek Harness to install this plugin. Full source at https://github.com/gmleong/dsh-img

About this plugin

The biggest gap in any text-only model is its inability to look at a screenshot, a design mockup, or a crash dialog. dsh-img bridges that gap for DeepSeek Harness: it connects any text-based coding agent to a vision API for image Q&A and element grounding, and it ships a set of fully key-free local pixel tools for cropping, pixel-level diffing, dominant-color extraction, OCR, bitmap-to-SVG tracing, and background removal.

On the backend side, the plugin defaults to Zhipu GLM-4V-Flash or Tongyi Qwen-VL (both offering free tiers), or can point straight at a local Ollama vision model for a zero-key, zero-external-dependency setup. A single backends array enables ordered failover across multiple providers out of the box, and recognition results are cached by image and question hash so repeat calls cost nothing.

Built for developers who need their text agent to read UI screenshots, verify design fidelity, or vectorize icons without juggling multiple API keys. Pure JavaScript, zero build steps, one command to plug into an existing dsh workflow.

Use Cases

  • Let text models read UI screenshots and error dialogs
  • Pixel-level diffing for design fidelity checks
  • Bitmap-to-SVG tracing and background removal

Best For

  • Developers building text-based coding agents
  • Solo users who want vision without juggling APIs
  • Offline developers using local Ollama models