How to use dsh-visual-plugin

This article is derived from the plugin's already-indexed fields (wiki / faq / compatibility_json / readme), not freshly generated by AI. Source field is noted at the end of each section.

Quick start

Dsh-visual-plugin.Give your text-only model eyes: forward user images to any OpenAI-compatible vision model and see the results in a Web UI right panel

— source: plugins.ai_summary

Install & verify

dsh plugin --profile web add dsh-visual-plugin

Run the command above in your DSH Web Profile. Then enable the plugin in the plugin list.

— source: plugins.install

Key points

• Automatic description — the wrapper adapter recursively describes uploaded images and image-bearing tool results in a model-bound copy while the visible chat keeps the originals.
• In-conversation lifecycle cards — automatic analysis appears immediately below its source image and settles in place as success or failure; one logical analysis produces one card.
• Intent-aware prompts — send an image with a question and the description is generated from your own words.
• vision_describe tool — the model can answer a later follow-up question when the automatic description lacks the requested detail.
• Right-side panel — configure endpoint / model / key, test the connection, watch one latest description per image with thumbnails (2s auto-refresh), read remaining balance.

— source: plugin_wiki.readme_en (fallback readme_raw)

Pitfalls

Review the upstream repo before installing. This guide is auto-derived from indexed fields and may lag the latest release. If anything contradicts the official docs, treat the upstream source as authoritative.

— source: general rule