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Local file upload: paperclip button and drag-and-drop, per-session storage under .dsh-uploads, and a read_document tool that pages text and OCRs images.

Translate text-based PDFs via DeepSeek or OpenAI-compatible APIs while preserving layout, fonts, images and links, with editable output.

Vision bridge for text-only DeepSeek models: transcribes attached images with deepseek-v4-flash-vision-exp before they reach deepseek-v4-pro, with no third-party dependencies.

채팅에서 캔버스로, 그리고 작품으로 — ComfyUI를 DSH 안의 비주얼 워크플로 IDE로 구동. ComfyUI(로컬 또는 클라우드)를 DeepSeek Harness Web에 분할 화면 캔버스로 내장하고, 에이전트가 채팅에서 쓴 프롬프트와 스크립트를 눈앞의 캔버스에 실시간 적용해 이미지·음악·영상·3D를 생성합니다. 캔버스 작업(파이프라인 구성, 워크플로 읽기/쓰기, 노드 편집, 연결, 실행, 매개변수 조정, 디버깅), 프로덕션 작업(batch_run 일괄 매개변수 스윕, get_outputs로 출력을 채팅으로 자동 회수), 환경 관리(ComfyUI 원클릭 실행, 코어와 모든 커스텀 노드 일괄 업그레이드). 본 패키지는 DSH 측 플러그인이며 ComfyUI 측 브리지 노드도 함께 제공합니다.

Toolbar picture button in the DSH Web composer: click to pick multiple images through the native file dialog — they join the same draft-image rail as drag-and-drop and paste, with the host image-format, per-message-count and per-image-size limits enforced inline.

Resident Web overlay seat with its own assistant session: chat, images, reminders, a duty heartbeat, and on-demand read-only task reference.

DeepSeek balance and per-session cost in the DSH web composer dock, with official peak/off-peak pricing (peak hours Mon-Fri BJT 9-12 / 14-18, weekends off-peak) and built-in deepseek-v4-flash-vision-exp vision model rates billed at flash price (images billed as tokens, max 384 tokens each).

Turns attached files into versioned evidence: `search_documents` builds a private local index (SQLite FTS5 after a startup capability probe, dependency-free JS fallback otherwise) and returns compact evidence blocks carrying an exact coordinate — PDF page, PPTX slide, text/DOCX line range, or quoted XLSX `Sheet!Range` — which `read_document` expands only while the content version still matches. Contiguous CJK runs are indexed as overlapping bigrams and queried as phrases, so word order is preserved; uploaded raster images take the native vision attachment path instead.

对话内联图片 DSH 插件 — 在 DeepSeek Harness (DSH) Web GUI 的对话中,出现本地图片路径即直接渲染为图片。 A DSH plugin that renders local image paths as inline images in DeepSeek Harness (DSH) web conversations. Security-first: loopback-only route, strong per-process token, multi-root realpath whitelist.

DeepSeek Harness (DSH) plugin: complete WeChat Official Account article downloader — wechat_article_fetch tool plus a zero-dependency anti-bot fetcher CLI (title/time/author/content with text-images-videos-links, read/like/wow stats and comments with a lo

Drag-and-drop PDF, Office, images, and text/code files into DSH conversations. The host extracts (and OCRs) them into the prompt; attach_* tools cover notebook cells, PDF-page OCR, image describe, and save.

Preview images / SVG (and prepare CSV) in the DeepSeek Harness chat, rendered as real browser <img> elements. Preview-first workflow: show the user the asset, wait for approval, then apply the real change.

Adds a paperclip image-picker button to the conversation composer - pick reference images through the system file dialog and feed them straight into the official attachment pipeline (thumbnails, limit checks, upload with message).

Show local images and short videos in the DSH conversation card with one-click download of the original file, or offer any other local file for download; works over local and remote connections and keeps the media itself out of the model's vision context.

Bridges images into text for DeepSeek Harness: when the session's selected model cannot see images, a configured vision model describes them and the descriptions enter the durable session history as folded context rows — your message stays untouched.

Vision browser tool: drives real Chrome over CDP with browser-use and reads the page with deepseek-v4-flash-vision-exp, so canvas text, text baked into images and values in rendered charts are readable; returns JSON validated against a caller-supplied schema and reports per-run token cost.

Adds a 'file' row to the DSH web GUI composer plus menu: pick images (native composer thumbnails) or arbitrary files (video/audio/Office/PDF, up to 50MB), stored in the DSH home and inserted into the draft as native file reference chips the agent can read

把长文本渲染成图片发送，利用每图 384 token 封顶压缩 LLM 输入 token，专为DeepSeek Harness设计的插件；Pack long text into images to cut LLM input tokens (384/image cap) — a DeepSeek Harness plugin.

Let text-only models see images in DeepSeek Harness: intercepts the llm/stream waterfall and transparently substitutes each image with a vision model's description.

Local eyes for text-only models: eyes_render draws text/shapes/Mermaid onto a canvas in the Web GUI, eyes_paste captures pasted images, eyes_ocr reads text via the built-in Windows OCR (offline), and eyes_analyze inspects pixels as structured data — no vision model required.

Paste images into DeepSeek Harness chat and have them read by a free local backend (macOS Vision / Tesseract) before the text-only DeepSeek model answers

QR code & barcode toolkit for DeepSeek Harness: decode images (PNG/JPEG, local or URL) and generate QR codes as PNG. 二维码/条码工具箱：解码与生成。

DSH 图片插件：ask_user_choice 图片/图文混合选项（Web GUI 渲染图片选择卡，可放大查看）+ show_images 在回复中内嵌图片（图片与文字混排）。图片来源支持本地路径 / http(s) URL / base64 data URI。纯插件实现，不改核心包。

DeepSeek Harness (dsh) plugin for wallpaper theming — upload images from the Settings page, pick one, and the whole dsh web UI renders over it with an adjustable readability mask and blur.