Vision bridge for text-only DeepSeek: send images (alone or mixed with text) and a fast tiny vision model describes them behind the scenes — the chat keeps the picture, DeepSeek sees only text. Pure plugin: uninstall restores everything.
Install
# from GitHub (first run asks for allowBuilds approval — follow the hint, retry)
dsh plugin --profile web add github:balue8246-maker/dseyesopen
Any plugin you install runs third-party code with your own permissions — it can read your files, use your credentials, and reach the network, and tool approvals don’t sandbox it. GitHub-sourced plugins also run build scripts at install time — pnpm blocks those until you allow them, so an install can stop with ERR_PNPM_GIT_DEP_PREPARE_NOT_ALLOWED or ERR_PNPM_IGNORED_BUILDS; dsh prints the exact key to add under allowBuilds in your profile’s pnpm-workspace.yaml, and the install works on the next run. Allowing a build is a trust decision: only install sources you trust, and pin a commit (github:owner/repo#sha).
README
This plugin publishes its README in Chinese only.
无感、自动、快速、真插件——仿佛 DeepSeek 真能看图了。
- 挂 DeepSeek（无识图能力）照样发图：单独发、图文混发都行
- 图片自动交给快速小识图模型（
glm-4.6v-flashx，识一张约 0.001 元）后台描述 - 描述不进对话框：对话框里你发的图原样还在，后台 DeepSeek 处理的是转成的文字描述
- 真插件：拔掉即恢复原样，不留痕迹
安装
dsh plugin --profile web add file:/path/to/dseyesopen
重启 dsh web。
配置 API Key（3 步，2 分钟）
- 打开 open.bigmodel.cn，手机号/微信注册
- 控制台 → API 密钥 → 创建新密钥 → 复制
- dsh → 模型设置页 →
Zhipu GLM Vision→ 粘贴密钥
glm-4.6v-flashx 是极低价付费档，账号里充几块钱就够用很久（如遇高峰限流，免费档 glm-4.6v-flash 可作备选）。密钥也可以放进环境变量 ZHIPU_API_KEY。
粘贴截图：Cmd+V 直接成图
dsh 原生 composer 本身支持图片粘贴成真附件（无需 modlens / 无需 patch 配置）。 与 dsDragPasteALL 同时安装时，需使用其 1.0.1+ 版本： 1.0.0 会在 document 捕获阶段劫持所有"带文件"的粘贴（包括截图）， 导致 Cmd+V 只插入路径文本、不再成为图片附件。 1.0.1 起纯图片粘贴（截图/复制的图片）一律放行给 dsh 原生流程成图， 本插件据此自动识别；只有非图片文件粘贴才走 dragpasteall 路径反查。
工作原理
用户发图（单独/混发）
→ 服务端图片预检：dseyesopen 运行时包装 deepseek adapter 的 resolveModel，
声明 image 输入模态 → 放行（纯内存包装，不写任何 dsh 文件）
→ llm/stream 瀑布：拦下发往 deepseek-official 且含图片的调用
→ image 块交给 glm-4.6v-flash 识别 → 原地替换为文字描述
→ DeepSeek 收到纯文字，会话历史与 UI 保持"用户发了图片"原样
识别结果按 attachmentId+上下文缓存；识别失败注入降级文字，回合不崩溃。
卸载
dsh plugin --profile web remove dseyesopen
拔掉即恢复原样：
- adapter 包装随插件 fiber 消失（内存态，无文件残留）
- 自动写入的
zhipu-visionsettings 条目由 disposer 清理
诊断
对话中可调用工具：
dseyesopen_status— 查看凭证配置、路由、输入模态、缓存状态dseyesopen_selfcheck— 端到端自检：给一个本地图片路径，真实跑一次识别
注意
- 识图模型默认
zhipu-vision / glm-4.6v-flashx（极低价付费档，OCR/截图/图表强；免费档 glm-4.6v-flash 作备选） - 付费档稳定性好；若临时换回免费档，高峰时段偶有 429 限流，失败会降级为文字提示，不影响对话
- dsh 升级后图片预检包装会自动重建（监听 adapter 更新事件），无需手动维护
Links
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ysr666/dsh-vision-router★ 1156
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Anionex/dsh-vision-toolkit★ 903
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dickpy/dsh-imagegen★ 125
AI image generation for the DSH Web GUI: text-to-image and image-to-image through a configurable OpenAI-compatible endpoint (gpt-image-2 / gpt-image-1 / dall-e-3), with an api_url/api_key settings card and a sidebar split-pane generation studio.
fandc520/dsh-comfyui★ 119
Drive a local or remote ComfyUI server from DeepSeek Harness: comfyui_run / comfyui_object_info / comfyui_workflow tools generate and edit images and videos, with a workflow library (graph extraction: per component / main flow / all), a load area with resolution auto-match, a live queue, SDXL and Wan 2.1 templates, a companion skill, and a same-origin media proxy.
sunxin-ai/dsh-design-qa★ 44
Design-fidelity QA for text-only models: a `deepseek_vision` tool borrows an eye from any OpenAI-compatible vision route, so the model can judge whether an implementation matches its mock — shipped with the benchmark behind that judgement (four fixtures, 23 injected defects, raw transcripts) and the questioning discipline it depends on.
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