Plugins

Per-turn and whole-session DeepSeek API cost estimates for DeepSeek Harness Web.

DSH plugin: makes the session header (top bar) collapsible as a drawer with smooth CSS transition animation

A minimal reasoning-effort ruler for the DSH composer: one hairline, a sliding marker, per-model memory, optimistic switching — and a streamlined model picker.

Image and video production toolkit for DeepSeek Harness - background removal with quality tiers, local inpainting retouch, headline and logo compositing, batch platform-size exports and image QA reports; for video, AI subject matting with background replacement (RVM ONNX, plus a chroma-key path), animated titles with fade/slide/typewriter/karaoke presets, 53 transitions with stylized variants, and light-effect and grading presets with LUT support, alongside footage inventory, accurate cutting, subtitle burn-in, music mixing and platform-spec exports; it provisions its own local Python runtime through a bundled bootstrap script.

Takes the user's own .pptx template plus a course outline (lesson plan / document / plain text) and produces a courseware .pptx that adopts the template's background, color scheme, fonts, and page skeleton. Pure plugin package, no built-in API keys; the image backend must be configured by the user.

Digests the images in a prompt with a vision model before admission, so any model — a text-only one included — can read them without the session ever switching models, and adds a describe_image tool for image paths.

Trims historical images in outgoing chat requests down to a recent-image count, learns the provider per-prompt image cap from HTTP 400 responses, and retries with fewer images so image-heavy sessions keep working.

Windows computer use forked from computer-user: 13 computer_* tools that read the screen and drive the mouse and keyboard. Image-capable routes get the screenshot as a real image with an exact image-to-screen mapping, so no external OCR; elements return as UI Automation refs so a click lands on the exact control rectangle; Ctrl+Alt+Esc stops every call.

Per-wallpaper offset for dsh-dream-skin - nudge the current wallpaper along X and Y in pixels from Settings, remembered separately for each image, URL or gradient.

Four right-Sidebar panels for the dsh web client — an artifacts browser, long-term memory, a terminal and notes — paired two per tab with a draggable split, so two panes show all four at once. Ships the host half as well: nine memory_* tools, artifacts_list, the /memory command, the /api/artifacts/* and /api/terminal-notes/* routes. The terminal runs one bash command per line, with a 120-second deadline and a stop button. Requires dsh 0.1.5 or newer, which is where the right Sidebar replaced the old details column.

Shows DeepSeek peak/off-peak pricing status, a countdown to the next rate change, and the estimated session cost as inline text beside the model selector.

Replace the dsh-whale-widget mascot with your own image through a built-in cutout pipeline, plus a session-header restart button, a browser heartbeat, and an opt-in patch self-heal that is off by default.

Drive a local DeepSeek Harness agent from QQ and other IM channels through AstrBot: send tasks with /dsh, continue by quoting or @-mentioning the bot, answer approvals and ask_user_question prompts from chat (in parallel with the DSH web UI), and get results, inline images and file cards back. Ships session / workspace / model / permission commands, /compact and /last recovery, three progress-display modes, and group-shared or per-user session scoping.

Three tools for DeepSeek Harness: typeset LaTeX formulas into images, draw mathematical figures from a declarative spec, and convert a formula or SVG into an image ready to embed in a document.

A virtual pet companion for the DSH Web surface: mood animations driven by live agent state, with hand-crafted built-in sprites

Configure multiple image providers in Settings and call image_generate with the one selected model; images save under generate/image and show inline in the conversation.

Measures what an llm-pi-ai endpoint really accepts — context window from its own model list, output-token limit and reasoning levels read out of its own range errors, image support from a generated test image — then reports declared values that contradict that evidence and rewrites them only after confirmation.

Provider-aware account balance chip for the DSH sidebar, showing the active model provider balance for DeepSeek, OpenRouter, Moonshot/Kimi, Zhipu/GLM, and MiniMax, plus DeepSeek peak/off-peak status.

Minimal DSH Web transcript toggle: hide thinking, tool-call, and turn-process rows from the session header while preserving assistant answer text.

Cross-session TODO board as a draggable floating panel: tasks are grouped by working directory and reorderable by drag, each one carries a run mode (remind only, continue in the current session, or open a new session in the same directory), up to four attached images sent to the model as real image attachments, and an optional local time it may run at; two checkboxes track AI-done and user-verified, and the agent picks up the next unfinished task in that directory when it finishes one.

Standards-based IMAP/SMTP mail assistant for DeepSeek Harness with explicit read/send controls and approval-aware delivery

Connects DeepSeek Harness to Xiaohe Canvas, letting you create nodes, build flows, and trigger AI image and video generation from chat.

Declare whether a configured third-party model accepts image (multimodal) input; writes the modality into the owning provider settings and verifies it through runtime model resolution.

Explicit minimal-solution coding guidance for DeepSeek Harness. Registers six load-on-request Ponytail skills and a localized Settings page.