dsh-vision: Integrating an External Vision Model with DeepSeek Harness

dsh-vision is a DSH community plugin (v0.2.6, MIT) maintained by linenxi-ctrl, providing image recognition capabilities to dialogue models without vision through configurable external visual APIs. It supports image selection and recognition via a web whale button with automatic feedback, agent-automated screenshot/recognize_image tools, and multi-protocol adaptation for OpenAI, Anthropic, Gemini, and custom APIs. Installation via npm: `dsh plugin --profile web add @linenxi-ctrl/dsh-vision`; an offline one-click script is also provided, which can automatically download Node.js if it is not installed.

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Enable Image Recognition for Plain Text Conversations in DeepSeek Harness with dsh-vision-proxy

DSH-Vision-Proxy is an MIT-licensed DeepSeek Harness interface enhancement plugin maintained by Flyvhidbwo. It registers the `deepseek-vision` route, converts GUI-attached images into text via an OpenAI-compatible VLM, and then submits the content to the plain-text DeepSeek model for response. By default, it uses Bailian Qwen3.7-Flash, and can automatically detect local Ollama when no API key is available. This article verifies the installation commands, configuration methods and privacy boundaries against the community directory page, GitHub README and package.json.

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