dsh-plugin-vision-reader

让 DeepSeek Harness 的纯文本主模型也能看图。遇到图片时，插件自动调用 DeepSeek 内置多模态模型（deepseek-official / deepseek-v4-flash-vision-exp）识别，识别结果以纯文本返回给主模型——无需任何额外 API Key（与主模型共用同一个 DEEPSEEK_API_KEY）。

Lets text-only main models read images. Image content is routed through DeepSeek's built-in multimodal model (deepseek-official / deepseek-v4-flash-vision-exp) and returned as plain text — no extra API key required (the same DEEPSEEK_API_KEY the main model uses).

功能 / Features

• vision 工具：模型把图片路径交给插件，插件读取文件、持久化为附件、调用多模态模型识别，返回纯文本。支持单图（file_path）和多图（file_paths，最多 10 张）。

• 粘贴图片自动转述：用户直接粘贴进对话的图片，在进入主模型前被自动转述成文字（【图片转述】…）；图片永不进入主会话上下文，主模型只看到文字。

• 动态隐藏 read_image：当主模型不支持图片输入时，自动隐藏必失败的 read_image，把模型引导到 vision 工具；切换到多模态主模型时自动恢复。

• vision tool: the model hands image paths to the plugin, which reads the files, persists them as attachments, asks the multimodal model to describe/answer, and returns plain text. Single (file_path) and multiple (file_paths, up to 10) images supported.

• Pasted-image transcription: images the user pastes directly into a message are transcribed to text (【图片转述】…) before reaching the main model; the image never enters the main conversation context.

• Dynamic read_image hiding: while the main model is text-only, the built-in read_image tool (which would always fail) is hidden and the model is steered to vision; switching to a multimodal main model restores it.

安装 / Install

dsh plugin --profile web add dsh-plugin-vision-reader
# 重启 dsh 生效 / restart dsh to apply

配置 / Configuration

默认零配置即可用。如需调整，在 profile 的 cordis.patch.yml 覆盖（id: vision-reader）：

- id: vision-reader
  config:
    provider: deepseek-official      # 视觉路由 provider
    model: deepseek-v4-flash-vision-exp  # 视觉模型（需声明 image 模态）
    transcribeImages: true           # 粘贴图片自动转述
    autoHideReadImage: true          # 纯文本主模型时隐藏 read_image
    instruction: '请详细描述这张图片的内容'  # 模型未指明时的默认识别要求

配置修改后重启 dsh 生效。

Works with zero configuration. To tune, override in the profile's cordis.patch.yml (id: vision-reader) — fields listed above. Restart dsh after editing.

模型体验 / Model Experience

• 主模型保持用户选择的模型不变（如 deepseek-v4-flash）；只有图片内容走多模态模型。

• 视觉调用与主对话共用同一个 DEEPSEEK_API_KEY，无额外计费渠道。

• 视觉识别结果有逐步骤缓存（同一图片在同一轮只识别一次）。

• The main model stays exactly as the user selected (e.g. deepseek-v4-flash); only image content uses the multimodal model.

• Vision calls share the same DEEPSEEK_API_KEY as the conversation — no separate billing channel.

• Recognition results are cached per step, so the same image is recognized once per turn.

KV Cache 效应 / KV Cache Effect

粘贴图片转述后，主模型的上下文里只有文字；图片像素永不占用主模型的 KV 缓存。长对话中重复引用同一图片（通过 vision 工具）也只会把识别文本放入上下文。

After transcription, only text enters the main model's context; image pixels never occupy its KV cache. Re-reading the same image via vision in a long conversation only adds its recognized text.

已知限制 / Known Limitations

• 视觉路由固定为配置的 provider/model；配置的模型必须声明 image 输入模态，否则启动时报错并给出指引。

• 图片格式仅支持 PNG / JPEG / WebP / GIF（与内置 read_image 一致）。

• 单次 vision 调用最多 10 张图片。

• 无网络或 DeepSeek 服务不可用时，自动转述会保留原图并提示失败（不会丢弃用户消息）。

• The vision route is fixed to the configured provider/model; the configured model must declare image input modality or startup fails with guidance.

• Only PNG / JPEG / WebP / GIF are accepted (same as the built-in read_image).

• At most 10 images per vision call.

• When offline or the DeepSeek service is unavailable, transcription keeps the original image and reports failure — user messages are never dropped.

License

MIT