dsh-image-vision-bridge: Converts images to text descriptions for the DSH main model
# Introduction In agent development with DeepSeek Harness (DSH), a common frustration arises: the primary model is a pure text model, yet users upload screenshots to the conversation. DSH 0.1.1+ implements a built-in fallback for this scenario—requests do not error out, but the model can only see an image placeholder and cannot access the actual image content. To enable the model to truly respond based on images, one must either switch to a multimodal main model or implement a custom forwarding logic layer. dsh-image-vision-bridge solves this problem: it automatically forwards images from user messages to a vision model (defaulting to mimo-v2.5 on the opencode-go route), feeds the returned text description to the main text model, and preserves the original image display in the chat history. DSH's philosophy is "Everything...
Read MoreDS-Vision-Plugin: A Web Image-to-Text Plugin for DeepSeek Harness
ds-vision-plugin is an open-source plugin designed for DeepSeek Harness, aimed at addressing the issue that text-based models cannot directly process image inputs. The plugin automatically converts pasted or dragged images into text within the web interface for DeepSeek models to continue reasoning, eliminating the need for users to manually switch tools or models. Its core features include support for a four-model racing mechanism (such as the agnes and glm series) to achieve fast and reliable first valid responses; routing support for Baidu OCR or local Tesseract, with fallback to a vision-language model when unavailable; and the ability to integrate custom OpenAI-compatible models or local runtimes (Ollama/LM Studio). Additionally, the plugin offers comprehensive diagnostic tools and YAML hot-reload functionality.
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