Einskyle/dsh-llm-vision-bridge
Native LLM-provider vision bridge: images pasted in the chat are described by a vision model (Qwen3-VL via pi-ai/llama.cpp) and the text description is fed to text-only DeepSeek for the reply — image admission, routing and compaction all run through harness-native mechanisms, with an LRU description cache and 503 retry.
About this plugin
Let text-only LLMs (DeepSeek) "see" images in the dsh web GUI: paste an image into the chat and the plugin automatically routes it to a vision model (Qwen3-VL via your existing pi-ai / llama.cpp route), then feeds the resulting text description to DeepSeek, which continues the conversation as if it were a native multimodal model.
$ dsh plugin --profile web add dsh-llm-vision-bridge$ dsh plugin --profile web add github:einskyle/dsh-llm-vision-bridgeHealth breakdown
80 / 100This plugin has not fully disclosed its data-collection behavior. Review the source and manifest before installing.
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