dsh-read-image

简体中文

Plug-and-play image reading for text-only DeepSeek Harness models: pasted images are admitted, projected as [Image #N], and read back through a first-class read_image tool backed by a configurable vision model — no preset changes required.

A DeepSeek Harness plugin that lets non-multimodal models "see" images.

• Pasted images are no longer rejected — text-only routes are declared to accept image input, so the api-proxy admission gate lets them through.
• [Image #N] projection — on text-only routes, image blocks in the model request are replaced in place with [Image #N] text; pixels never reach a text API. Native multimodal routes pass through untouched.
• First-class read_image tool (registered automatically in every session, shadowing the built-in tool of the same name):
  • image_index — read the Nth image in the conversation ([Image #N]);
  • file_path — read an image file from a path (PNG/JPEG/WebP/GIF);
  • prompt / reasoning_effort / timeout_ms / max_tokens / max_thinking_tokens — optional overrides; omitted parameters use the configured defaults (the current real defaults are interpolated into the tool description, so the agent never has to guess);
  • on text-only routes the configured vision model converts the image into a text description; on native multimodal routes the image itself is returned;
  • stateless and repeatable, including re-reading the same image.
  • Native multimodal routes fall back to the built-in tool: when the session's base route itself declares image input (e.g. mimo-v2.5), the custom tool is not registered and no [Image #N] prompt section is injected — the model sees real image blocks and uses the harness's built-in read_image (file_path only, "return the image itself").