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dsh-plantuml

Web Tools Updated 2026.08.17

Run the following command in DeepSeek Harness:

dsh plugin install qschen86/dsh-plantuml

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

Run dsh plugin install qschen86/dsh-plantuml in your terminal to install this plugin; the source is available at https://github.com/qschen86/dsh-plantuml

About this plugin

When a model produces PlantUML code in a conversation, it usually appears as raw text that you have to copy into an external tool to actually see the diagram. dsh-plantuml closes that gap: it automatically detects PlantUML fenced code blocks in assistant messages and renders them into inline SVG images right where you are, so sequence diagrams, class diagrams, activity diagrams, use-case diagrams, architecture diagrams, and any other PlantUML-supported graphic are visible in the conversation without leaving the app.

The rendering path is flexible. By default the plugin calls the official PlantUML public server, but you can point DSH_PLANTUML_SERVER at your own instance or set DSH_PLANTUML_COMMAND to invoke a local plantuml binary for fully offline rendering. If a render fails, the error message is shown inline without blocking the rest of the Markdown, code blocks, or reasoning content in the same message.

This plugin is well suited for developers and technical writers who work with UML or system-architecture diagrams in chat-driven workflows. If you find yourself copying PlantUML snippets out of the conversation into a separate renderer over and over, dsh-plantuml removes that friction and keeps the whole design discussion in one place.

Use Cases

  • Viewing sequence or class diagrams generated by the model directly in chat
  • Rendering architecture diagrams offline via a local plantuml binary
  • Presenting UML designs in technical reviews without switching tools

Best For

  • Developers who frequently use UML diagrams in design discussions
  • System architects who need real-time previews of architecture diagrams
  • Engineers writing technical documentation in chat-driven workflows