dsh-deepseek-vision-router

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An experimental DeepSeek Harness plugin that lets a text-only DeepSeek main agent accept images directly from the DSH chat composer.

DSH image attachment -> vision model description -> deepseek-official

The plugin adds a separate deepseek-vision route. Image analysis runs through an existing provider from DSH's Models settings; the official DeepSeek adapter still owns the main conversation, reasoning, streaming, tools, and retries.

Compatibility

• DSH 0.1.0-rc.6
• Node.js 24+
• mcp-vision-bridge 0.2.7

Other versions may work but have not been tested.

Install

dsh plugin --profile web add github:mochgolf/dsh-deepseek-vision-router

1. Open Settings → Models and add or reuse an image-capable provider. Its endpoint and credential stay owned by the Models page.
2. Open Settings → Plugins → DeepSeek Vision, select that provider, and save the vision model. The model field defaults to mimo-v2.5 but accepts any model ID exposed by the selected provider.

Provider additions, edits, and removals remain in Settings → Models. The plugin stores only visionProvider and visionModel in DSH's native settings namespace and applies changes to the next image request without a restart.

Select DeepSeek + Vision in DSH's model menu. New sessions can use it as their default provider; existing sessions retain their recorded provider until switched.

Security and privacy

• Provider endpoints and credentials remain managed by DSH's Models settings; this plugin never copies or stores them.
• Image bytes are sent to the configured vision provider; DeepSeek receives the resulting text description, not the pixels.
• Descriptions are marked as untrusted image content before reaching DeepSeek, so text visible inside an image is not promoted to system instructions.
• Successful descriptions use a bounded, process-local cache.

Limitations

• The cache is not persisted across DSH restarts.
• The analysis prompt comes from an internal mcp-vision-bridge module; an upstream directory change may require a compatibility update.
• This is a preprocessing bridge, not native DeepSeek multimodality.

Development

npm ci
npm test