dsh-ext-vision-proxy

English | 简体中文

External vision proxy plugin for DeepSeek Harness, enabling text-only LLMs (such as DeepSeek-V3 / DeepSeek-R1) to inspect, analyze, and understand images via OpenAI-compatible vision model APIs.

📸 Screenshots

1. Settings Panel (Configuration & Provider Management)

2. Chat Composer Switch (Pill-shaped Toggle & Model Selector)

🌟 Key Features

• 🖼️ Multimodal Power for Text-Only Models: Allows text-only LLMs to autonomously invoke the vision_describe tool to inspect and answer questions about images, screenshots, diagrams, and attachments.
• 🔘 Native Composer Switch: Integrates seamlessly into the chat input bar (conversation.input.left) with a pill-shaped toggle switch and an interactive model dropdown selector.
• ⚙️ Dedicated Settings & Connectivity Testing: Provides an intuitive configuration panel in the Settings page supporting custom Base URLs, API Keys, vision model filtering, and one-click connectivity testing.
• 🎛️ 4-State Session Matrix:
  1. Multimodal LLM + Switch ON: vision_describe tool is visible. Model can choose native or delegated recognition. Prompts confirmation dialog upon image attachment.
  2. Multimodal LLM + Switch OFF: Tool is stripped. Model processes images natively via standard DSH image messaging with zero proxy interference.
  3. Text-only LLM + Switch ON: Tool is visible. Images are admitted without rejection; the LLM automatically invokes vision_describe with the attachment ID or file path.
  4. Text-only LLM + Switch OFF: Tool is invisible. Behavior is 100% identical to not having the plugin installed.
• 🔍 Intelligent Attachment & Image Resolution: Resolves content-addressed hashes (sha256:...), local file paths, HTTP/HTTPS URLs, and automatically detects MIME types using binary magic bytes.

🏗️ Architecture

• Host (Node.js): src/index.ts
  • Registers the vision_describe tool schema and execution handler.
  • Dynamically filters tool exposure via the Cordis system-prompt/assemble waterfall hook based on session state.
  • Exposes REST API endpoints on webServer for settings, model probing, and session state sync.
• Client (React / Browser): src/client/
  • Registers the settings.section slot (VisionSettingsSection) for provider configuration.
  • Registers the conversation.input.left slot (VisionComposerButton) for composer toggling and fast model switching.

📦 Installation & Setup

Option 1: Link in DSH Profile (Recommended for Development)

Add the dependency and bundle entry in your ~/.dsh/profiles/web/package.json:

{
  "dependencies": {
    "dsh-ext-vision-proxy": "link:/path/to/dsh-ext-vision-proxy"
  },
  "dsh": {
    "profile": {
      "bundles": [
        "@deepseek-ai/dsh-base",
        "@deepseek-ai/dsh-web-app",
        "dsh-ext-vision-proxy"
      ]
    }
  }
}

Option 2: Build & Pack

# Install dependencies and build bundles
npm install
npm run build

# Pack tarball
npm pack

🚀 Getting Started

1. Start DSH Web:

   dsh web
   

2. Configure Vision API:
   • Open DSH Web in your browser (http://127.0.0.1:3080).
   • Navigate to Settings -> 视觉代理 (Vision Proxy).
   • Enter your OpenAI-compatible Vision API Base URL (e.g., https://api.openai.com/v1 or local endpoint) and API Key.
   • Click 获取模型列表 (Fetch Models) and select your desired default vision model (e.g., gpt-4o, gemini-2.5-flash, qwen-vl-max).
   • Click 测试连通性 (Test Connection) to verify API connectivity, then save settings.
3. Chat & Inspect Images:
   • In any conversation with DeepSeek-V3 or DeepSeek-R1, turn the 视觉代理 switch ON.
   • Upload or paste an image and ask questions (e.g., "What is shown in this image?").
   • The LLM will call vision_describe behind the scenes and respond with detailed answers.

📄 License

MIT © 2026 Fan Yuejin