dsh-luna-vision-bridge
在终端中运行以下命令:
dsh plugin install ycp424c/dsh-luna-vision-bridge
将以下提示词粘贴到 DeepSeek Harness 对话框中:
在 DeepSeek Harness 终端中执行 dsh plugin install ycp424c/dsh-luna-vision-bridge 即可安装,源码地址为 https://github.com/ycp424c/dsh-luna-vision-bridge
插件介绍
DSH's native input box currently accepts text only, so pasted or dragged images cannot be consumed by downstream LLMs. dsh-luna-vision-bridge is a host-side adapter plugin that registers a custom provider, keeping the existing image interactions (paste, drag-and-drop, thumbnails, delete, send button) fully functional while transcribing image content into text for text-only models.
The workflow is straightforward: images land in DSH's native attachment store, Codex Luna (gpt-5.6-luna) transcribes them into text descriptions, and those descriptions are routed to any configured downstream text provider. Multiple downstream combinations (e.g. DeepSeek V4 Flash + Luna, Pi Coder + Luna) can be listed in the model selector and switched instantly without restarting. All downstream models are configurable through a visual form in the Web settings panel, and a built-in content-addressed cache prevents redundant Luna calls on identical historical images. Temporary image files are deleted immediately after transcription.
This plugin suits users who work in the DSH Web interface, want to keep the native image-paste experience, but whose downstream models are text-only. Keep in mind that this is a temporary compatibility workaround for DSH's current text-only admission rather than a long-term architecture. The transcription side is validated for Codex CLI and gpt-5.6-luna only, and it is not a general-purpose vision framework. Once DSH ships native image reading or vision routing, migrating to the official implementation and retiring this plugin is strongly recommended.
使用场景
- 在 DSH Web 输入框粘贴或拖放图片,交由纯文本模型理解内容
- 为同一会话中的多张历史图片启用内容寻址缓存,避免重复调用 Luna 转写
- 在模型选择器中即时切换多个下游文本模型组合,无需重启
适合人员
- 使用 DSH Web 界面、希望保留原生图片交互体验的开发者
- 下游模型均为纯文本、需要临时视觉输入能力的团队
- 关注 DSH 原生读图能力落地前过渡方案的早期用户