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Auto Vision — DSH Plugin for DeepSeek Harness
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auto-vision

Auto Vision

DSH (DeepSeek Harness) image integration plugin: pasted images are added only to the conversation, not the model request (llm/stream cleanup), and the see_image tool is registered so text models can view images on demand through any OpenAI-compatible vision API

The plugin will be installed here. Keep web if you are unsure.

npx -y @deepseek-ai/dsh plugin --profile web add auto-vision@1.0.1
READMECompatibilityVersions
使用演示

Compatibility and provenance

Auto Vision is published as auto-vision and currently resolves to version 1.0.1. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.

DSH compatibility
*
Runtime surfaces
any
Release source
npm
Registry updated
9/20/2026

Versions

1.0.1stable
8/15/2026
1.0.0stable
8/15/2026

Related plugins

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Latest
1.0.1
DSH
*
HMR
Process restart
Tree shaking
Safe tree shaking not declared
Unpacked size
2.1 MB
Files
8
Surface
any
License
MIT
Source
npm
GitHub
★ 1
Weekly downloads
46
Last push
8/15/2026
View source ↗Project homepage ↗
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Tool Describe Image@linxin666/dsh-tool-describe-imageModel-facing describe_image tool for the dsh web GUI: gives a text-only model image understanding by asking a vision-language model at an OpenAI-compatible endpoint to describe one image (local path, http(s) URL, or attachment reference). Hot-pluggable — Modlens@liustack/modlensPlug-in vision for text-only LLMs, powered by the free Antigravity CLIDeepseek Ivideodeepseek-ivideoiPolloWork HyperFrames Video Studio and 27 editable video templates as a native DeepSeek Harness conversation view.Imagegen@dickpy/dsh-imagegenAI image generation plugin for the dsh web GUI: text-to-image and image-to-image through configurable provider channels (gpt-image-2 / grok-imagine-image / nanobanana series / seedream-5.0-pro / dall-e-3, with native xAI Grok Imagine, Google Nano Banana a

README

auto-vision

auto-vision

贴图不会让对话报错，图片在聊天窗口里正常显示；
模型自动判断是否需要看图，需要时自己调用视觉模型读取内容 —— 免费，支持智谱 / 魔搭社区的免费视觉模型，也支持你自己的任意 OpenAI 兼容平台。

演示

录制于 DeepSeek Harness Web 界面：粘贴图片 → 对话正常继续 → 模型自动调用视觉模型读取图片内容。

使用演示

安装

  1. 把本目录拷到 DSH profile 的 node_modules 下（如 ~/.dsh/profiles/web/node_modules/auto-vision/）。

  2. 在 profile 的 cordis.patch.yml 中插入：

    - insert:
    - id: auto-vision
      name: auto-vision

  3. 配置 Token（见下），重启 DSH 进程。

配置 Token

视觉平台环境变量免费模型
智谱 BigModelZHIPU_API_KEYGLM-4V-Flash（免费）
魔搭 ModelScopeMODELSCOPE_API_KEYQwen3-VL（免费额度）
其他任意 OpenAI 兼容平台VISION_API_KEY + VISION_ENDPOINT + VISION_MODEL你平台的模型

也可以把 Token 写进 ~/.dsh/.credentials.yaml（同名键），效果一样。

export ZHIPU_API_KEY=xxx          # 用智谱
export MODELSCOPE_API_KEY=xxx     # 用魔搭

切换视觉源

默认魔搭；想用智谱免费档，二选一：

export VISION_PROVIDER=zhipu      # 环境变量方式

# 或写在插件 config 里
- id: auto-vision
  name: auto-vision
  config:
    provider: zhipu

自己的平台（例如本地 Ollama）直接指定端点：

  config:
    endpoint: http://127.0.0.1:11434/v1/chat/completions
    models: [qwen2.5-vl:7b]

License

MIT · Changelog