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Native dsh (DeepSeek Harness) Cordis plugin adapter for vision-translation: grounds images into <vision-context> via the Python CLI (PROTOCOL v1). Spawns cli.py, never re-implements core logic.

FAL image generation for DeepSeek Harness: a generate_image tool backed by the FAL queue API (default model fal-ai/flux-2/klein/9b). Images render directly in the conversation, are saved to the workspace, and all settings are editable from the Web GUI.

Vision bundle + plugin for DeepSeek Harness: the describe_image tool reads local images and asks any configured multimodal route, with zero core changes

DSH tool plugin: generate images through ToAPIs async GPT-Image-2 API (submit task, poll, download).

Save messy notes (text + images) to a Yuque knowledge base, classified by the model.

Give text-only models vision: a describe_image tool that delegates images to a vision model from your dsh model list over the harness's own LLM runtime.

Lets a text-only DeepSeek agent read images in the same session by delegating to a vision-capable subagent, with send-time image-to-path conversion.

Windows 내장 엔진(Windows.Media.Ocr)을 통한 첨부 이미지의 로컬 OCR: 모델에는 인식된 텍스트만 전송되며 이미지 바이트는 전송되지 않습니다. 비전 패스스루는 선택적으로 활성화합니다.

Tesseract를 통한 첨부 이미지의 로컬 OCR: 인식된 텍스트만 모델로 전송하고 이미지 바이트는 전송하지 않으며, vision passthrough는 선택 사항이다.

Transparent image guard for text-only routes: paste images without the 400 session deadlock, plus a vision_analyze tool for OCR/PDF/docx/pptx/video.

Observational file-mutation rollback for the fs tools: write/edit pre-images are checkpointed as git blobs or snapshots and restored through a model-facing rollback_files tool or a /rollback command.

Upload files and folders straight into the conversation — images attach as real message blocks, text content is written into the composer draft, folders land by directory structure.

NanoBananaPro API를 통해 DeepSeek Harness에서 이미지와 동영상 생성

Seedance 2 AI API를 통해 DeepSeek Harness에서 이미지와 Seedance 동영상 생성