AI Agent Hub
Back to plugins
dsh-image-pathify preview

dsh-image-pathify

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install dami9527/dsh-image-pathify

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

In DeepSeek Harness, run the command dsh plugin install dami9527/dsh-image-pathify to install the plugin, with the source address at https://github.com/dami9527/dsh-image-pathify.

About this plugin

In today's AI-powered chats, sharing images is commonplace, but many powerful language models like deepseek-v4 lack native image recognition capabilities, limiting multimodal interactions for users. The dsh-image-pathify plugin addresses this gap by enabling users to paste images directly in chat, even if the model cannot 'see' them. Its core functionality involves smart message interception: before sending to the model, it replaces images with local file paths, allowing the model to call the built-in analyze_image tool, which connects to a configured vision API (such as DeepSeek's vision model) to retrieve image descriptions. For models that already support images, the plugin sends them as-is, ensuring a seamless experience without disruption. This indirect approach lets image-less models process visual information, broadening their utility. The plugin is ideal for users who rely heavily on image-incapable models but need to handle image data—such as developers, content creators, or researchers—who want to perform image analysis without switching models, while enjoying a smooth chat interface and flexible configuration options like customizing the vision API or adjusting output settings.

Screenshots

Use Cases

  • Enable models without vision to indirectly process chat images via a tool.
  • Retrieve image descriptions using a vision API without changing the model.
  • Support batch processing of multiple images to boost image analysis efficiency.

Best For

  • Developers relying on models without vision but needing to handle image data.
  • Researchers looking to extend multimodal capabilities of models.
  • Regular users who frequently share images in chats.