@eric.wen/dsh-sight: DSH Multimodal Image Direct Upload and Figma MCP Plugin
The DSH plugin `@eric.wen/dsh-sight` aims to address specific issues in multimodal dialogue, primarily offering four core functions. First is direct multimodal image upload, allowing users to paste or drag images into the input box to send them to supported multimodal models as native content blocks. Second, it features session image clearing, which removes images from the model's visible history. This resolves the issue of being unable to switch back to text-only models caused by historical images, and this operation is persistent. Third, the automatic inference level completion feature automatically populates official supported tiers for third-party models without declared reasoning levels based on an internal dictionary, optimizing configuration. Finally, through the Figma MCP bridge, it supports two modes: converting design drafts to code using Figma Tokens and REST API, or implementing AI-driven design via a local bridge without requiring Figma membership. The plugin is distributed via npm.
Read Moredsh-multimodal: Integrating Visual Transcription, OCR, and Image Generation into DeepSeek Harness
DSH-Multimodal is a plugin for DeepSeek Harness (DSH), designed to address the pain point of needing to convert screenshots, error images, and design mockups into text in text-based conversations, while also integrating generated images directly into the session. The plugin offers three core features: visual transcription, OCR, and text-to-image generation, invoking user-configured vision providers and image services through an OpenAI-compatible backend. For visual processing, the plugin supports word-by-word transcription of images before DeepSeek continues processing, featuring LRU caching, multi-image parallelism, failover, and cost-based routing capabilities. OCR supports multiple output formats and scenario-based presets. The text-to-image feature supports displaying cards within the session, with zoom, download, and retry functionality, as well as support for custom backend integration. The plugin supports integration with mainstream platforms such as Zhipu, Bailian, and local...
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