dsh-plugin-mm-vision：给纯文本 LLM 增加结构化看图能力
dsh-plugin-mm-vision 是一款 DeepSeek Harness (DSH) 插件，旨在为纯文本 LLM 提供图片理解能力。该插件注册 `mm_vision` 工具，调用外部视觉模型将图片转化为包含精确百分比坐标的结构化空间文字描述，使文本模型无需直接处理图像即可分析空间关系。 核心功能包括“通感编码”，适用于 K 线图、UI 截图及自然照片等；支持像素级坐标定位和可选的 40×30 像素色块网格重建；具备自动模式，能根据图表或自然图特征自适应调整输出细节。插件支持配置任意 OpenAI 兼容视觉模型，并提供 TTL 缓存机制以提升响应速度。 安装需 DSH 环境及 Node
Read Moredsh-vision-provider: Selecting Vision Model Combinations in the DeepSeek Harness Web UI
dsh-vision-provider is a community plugin for DeepSeek Harness (DSH), designed to enable a dual-model bridge of "vision model analysis + DeepSeek reasoning responses." Rather than native pixel input, it exposes third-party vision models declared with image input capability in Settings as an optional combination. When a user sends an image-containing request, the selected vision model processes the image, and the result replaces the original image before being handed over to DeepSeek for reasoning, tool invocation, and final responses; plain-text requests are handled directly by DeepSeek. The plugin supports configuring third-party vision models via the Web UI or directly connecting to OpenAI-compatible endpoints. Installation requires Node.js >=22.19.0 and a compatible DSH version. Usage:
Read Moredsh-vision-opencode: Configuring Switchable Vision Models for Text-Primary Master Models
dsh-vision-opencode is a DSH Web plugin that converts chat images into text via configurable vision models, enabling pure-text main models like DeepSeek to continue reasoning without switching the primary model. It supports image recognition model selection in the input box, vision settings, the vision_read_image tool, and vision-image-analysis skill, including a 60-second timeout and failure retry fallback. Installation: dsh plugin --profile web add -w github:poiuyjie/dsh-vision-opencode. MIT license, maintained by poiuyjie.
Read MoreAdd Image Recognition Capability to Plain-Text DeepSeek Harness Using dsh-vision
Maintained by william-jin-cmu, dsh-vision adds a `view_image` tool for plain-text DeepSeek, forwarding local images or URLs to any OpenAI-compatible VLM and returning answers in text. The default free tier of Zhipu AI, glm-4.6v-flash, can be replaced with Bailian, Fangzhou or local Ollama. The community directory installation command is `dsh plugin add github:william-jin-cmu/dsh-vision`. The plugin runs with the permissions of the current dsh process, cloud paths will send images to third-party endpoints, so please check the source code and license before installation.
Read MoreEnable 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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