dsh-vision-opencode

Many users face a familiar limitation: their main chat model is strong at text, but struggles to handle images reliably. When screenshots, documents, tables, or interface designs need to be understood, the usual options are switching models or copying the image into a separate tool. dsh-vision-opencode solves this by adding a configurable vision layer beside the existing text-only main model: when a chat message contains an image, the plugin can send it to a selected vision model, convert the visual content into text, and let the original main model continue answering normally.

Its core value is automatic image understanding with manual control and failure handling. Users can choose a vision model from the input bar or manage it in settings, while the plugin supports OCR, chart interpretation, screenshot analysis, and related workflows. If automatic conversion is not desired, it can be disabled while keeping the vision tools and model selector available. The plugin also includes timeout, retry, and fallback behavior so vision failures do not easily block an entire conversation.

This plugin is best for users who rely on DeepSeek or other text-only main models but still need to work with images frequently. It is also useful for people who want a multimodal experience without replacing their primary model. Rather than a full multimodal replacement, it acts as a lightweight vision bridge: it lets models that normally only read text see first, then answer.