dsh-image-tools

When using pure text large models like DeepSeek, users often encounter 400 errors or missing features when uploading images, as the models lack native image processing. The dsh-image-tools plugin addresses this by seamlessly enabling image recognition for such models through intelligent bridging. It automatically saves images from chats, dynamically disables native read_image to prevent errors, and provides a conversational image_recognize tool that delegates visual tasks to sub-agents like Xiaomi's Mimo.

The core strength lies in its dynamic bridging logic: for native multimodal models (e.g., Qwen), the plugin preserves the original pipeline; for pure text models, it activates image saving and delegation. This ensures a consistent user experience without manual model switching or complex routing configurations. Recognition outputs follow strict standards, offering objective data like pixel coordinates or color codes, avoiding vague descriptions.

This plugin is ideal for DSH framework users, especially developers or content creators who rely on pure text models like DeepSeek for daily tasks but need image analysis capabilities. Whether for quickly identifying charts, extracting text from images, or answering visual questions, dsh-image-tools expands model functionality in a cost-effective and efficient way, making AI assistants truly versatile.