dsh-vision-link

🚀 Quick Start & Configuration

Step 1: Install the Plugin

Run inside your DSH workspace directory:

npx -y @deepseek-ai/dsh plugin --profile web add dsh-vision-link

[!IMPORTANT] If the npm tag still shows 1.2.0, install from the git repo or a local path instead of trusting the changelog alone. Remove this note after npm actually publishes 1.2.1.

Do not stack dsh-vision-link with other paste-intercept plugins such as modlens, image-bridge, or vision-toolkit on the same DSH Web page. They may compete for the same paste/drop hook and make image intake behavior ambiguous.

Start or restart DSH Web:

npx -y @deepseek-ai/dsh web

---

Step 2: Verify Image Capability on Vision Model

Ensure your multimodal model (e.g. Doubao, Qwen-Max, or Gemini) declares input: [text, image] in DSH settings.yaml:

llm-pi-ai:
  providers:
    my-provider:
      models:
        - id: deepseek-v4-flash
          name: DeepSeek V4 Flash
          # Text-only models do not declare image

        - id: doubao-seed-2.1-turbo
          name: Doubao Seed 2.1 Turbo
          input: [text, image]    # 👈 Explicitly declare image input

---

Step 3: Configure Vision Mapping (Built-in Visual Panel)

Navigate to Settings → Plugins → Vision Mapping in DSH:

1. Select your Text Model (e.g. DeepSeek-V4-Flash), paired Vision Model (e.g. Doubao / Qwen-Max), and Focus Preset;
2. Click "Save Mapping". Changes take effect immediately only when the current DSH host exposes vision-link as a writable Settings namespace;
3. (Optional) You can click "Edit" or "Delete" anytime in writable hosts, or configure directly in settings.yaml (in normal npm-installed or restricted environments, the panel automatically acts as a YAML generator):

vision-link:
  mappings:
    ark-code-plan/deepseek-v4-flash:
      provider: ark-code-plan
      model: doubao-seed-2.1-turbo
      displayName: 火山code plan · doubao-seed-2.1-turbo
      focusPreset: auto    # 👈 Optional: auto/ui/ocr/code/chart/custom

[!TIP] Same-provider vision models are automatically prioritized. For full syntax examples, see examples/settings.yaml.

---

Step 4: Paste-and-Ask Workflow

Keep your preferred text model (e.g. DeepSeek-V4-Flash) selected, and paste (Ctrl+V) or drop an image directly into the composer to begin asking multimodal questions!

---