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agent-vision-toolkitA80

@Anionex
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The upstream toolkit that lets text-only models handle vision tasks. On DSH it arrives through its independently maintained dsh-vision-toolkit package, bringing 10 structured visual tools into Web and Headless profiles.

Star
869+50
7-day growth
Contributors
5
Language
Python
Updated
2026-08-14
Install
Verified by editors
# 本仓库是上游工具箱;进 DSH 用它以子模块方式维护的独立包
dsh plugin --profile web add @anionex/dsh-vision-toolkit
# Headless profile 同理:dsh plugin --profile headless add @anionex/dsh-vision-toolkit
Editor's notes

This is the upstream, cross-host repository for the vision toolkit; native DSH support landed on 2026-08-13 through the independently maintained Anionex/dsh-vision-toolkit package, which this repo tracks as a git submodule — which is why the install command here points at that package rather than at this repository. What lands in DSH is ten structured visual tools: intent-aware image Q&A, grounding, detection, tracing, cropping, pixel diff, long-screenshot OCR, foreground extraction, dominant-colour analysis and HTML screenshots. Beyond the tools it wires into DSH Credentials, a managed isolated runtime, previewable Artifacts, a Web settings panel, and Agent-scoped progressive tool exposure — so all ten tools are not dumped into the model's request schema up front.

  • Ten structured visual tools: intent-aware Q&A, grounding, detection, tracing, cropping, pixel diff, long-screenshot OCR, foreground extraction, dominant colour, HTML screenshots
  • DSH support ships as the separate @anionex/dsh-vision-toolkit package tracked here as a submodule; works in Web and Headless profiles
  • Integrates DSH Credentials, a managed isolated runtime, previewable Artifacts and Agent-scoped progressive tool exposure
Score breakdown
Scored 2026-08-14
Activity
22.1
Star heat
27.9
Engineering
14
Maintainer
16

通用视觉工具箱上游仓,DSH 集成由配套的 dsh-vision-toolkit 承担;本仓面向全 agent 生态

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