dsh-llm-vision-bridge

Text-only large language models like DeepSeek struggle to process images, creating barriers in scenarios requiring multimodal interaction. The dsh-llm-vision-bridge plugin elegantly addresses this by bridging the gap: it automatically routes images to a vision model for description and feeds the text output back to DeepSeek, simulating native multimodal capabilities for smoother conversations. Its core strengths lie in seamless integration as a native LLM provider, offering zero overhead for image-free requests, LRU caching to avoid redundant descriptions, and auto-retry mechanisms to handle resource contention. This design enables users to share images in chat and receive context-aware replies without UI changes. Ideal for researchers, AI developers, and content creators seeking to expand text LLM functionality, it balances enhanced interaction with privacy and performance needs.