AI Agent Hub
Back to plugins
dsh-doubao-plugin preview

dsh-doubao-plugin

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install Practice019/dsh-doubao-plugin

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

Open the terminal in DeepSeek Harness and run dsh plugin install Practice019/dsh-doubao-plugin to install the plugin, then restart Harness to activate it; source code is available at https://github.com/Practice019/dsh-doubao-plugin .

About this plugin

In DeepSeek Harness, models lack built-in web search, image generation, and multimodal image recognition by default, and users typically have to configure MCP servers or third-party tools to accomplish these tasks. dsh-doubao-plugin registers a dynamic tool called doubao_ask through the local Doubao Relay OpenAI-compatible endpoint, allowing the model to invoke Doubao directly in conversation for search, image generation, and image understanding with no external dependencies.

The plugin covers three core operations: real-time web search; image generation with results displayed inline as Markdown; and multimodal image recognition that accepts URLs, Base64 data URLs, or local file paths, automatically compressing local images over 512 KB to 800 px width before sending. The paste-to-path mechanism intercepts image paste events in the input box for text-only models, saves the image to a local temporary path, and inserts that path as plain text, so even text-only models can trigger Doubao image recognition indirectly. Generated images are deduplicated, collapsing CDN mirrors and template variants into a single link, and returned as a structured images array.

Ideal for users who already run Doubao as a backend model in DSH and want to complete search, generation, and recognition workflows through natural-language conversation alone. Once the local Doubao Relay is running, installing the plugin and restarting Harness is all it takes for the model to discover and use the doubao_ask tool, turning multi-step multimodal tasks into a single message.

Screenshots

Use Cases

  • Ask the model to search real-time information or generate images in conversation
  • Paste an image and let the model call Doubao for recognition and a text description
  • Use paste-to-path to enable multimodal image tasks in text-only models

Best For

  • Users already running Doubao as a backend model in DSH
  • Conversational users who want multimodal tasks without MCP setup
  • Developers needing a local image recognition and generation workflow