dsh-vision-proxy
Give a text-only DeepSeek Harness model eyes: a proxy provider that delegates image understanding to any vision-capable model the harness can route, plus vision and vision_config tools.
AI Analysis
核心用途是让不支持图片的纯文本模型也能通过代理调用其他视觉模型来理解图像。适合希望扩展 DSH 文本模型多模态能力的用户。
Install
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README
Read the full README ↗Configuration
All config lives in the vision-proxy settings namespace (settings.yaml), the same file where your provider routes live:
vision-proxy:
mainProvider: opencode-go # preferred route for the main (text) side; empty = scan live providers
visionProvider: opencode-go # route for the vision model; empty = use the main side's provider
visionModel: mimo-v2.5 # the vision model used for every image
fallbackVisionModels: [] # optional: models tried in order if the primary call fails
visionMaxTokens: 2048 # output cap per vision call
descriptionPrompt: "Describe this image in full detail: ..." # instruction sent with every vision call
Notes:
- No automatic fallback.
fallbackVisionModelsis empty by default. Every fallback attempt is a paid model call, so switching models on failure is strictly opt-in. A fixedvisionModelfails loudly instead of silently spending. mainProviderdisambiguates when the same model id exists on several routes (e.g.deepseek-v4-flashon bothopencode-goanddeepseek-official). Empty means the first live provider that serves the model wins.- The vision side must be a model the harness can route and that accepts image input. The harness validates this at call time and reports a clear error otherwise.
Usage
- Attached images — switch the session to a
-visionentry in the model picker and attach normally. Each image is described before the request goes to the main model. If a description fails, a placeholder text is injected instead of failing the turn. - Local images — ask the model to look at a file, e.g. "what does
screenshot.pngshow?" It will call thevisiontool. Supported formats: png, jpg, jpeg, webp, gif (subject to the harness attachment limits, ~5 MB by default).