Plugins

DeepSeek Harness sidebar for LiteLLM models, MCP servers, skills, and spend.

DeepSeek balance, today's spend, peak/off-peak countdown and per-turn cost rendered as one text line embedded in the DSH sidebar footer, plus a low-balance alert. A text-only derivative of dsh-whale-widget (MeteorNOX/DeepSeek-Balance-Whale-Widget); do not install both - they register the same /dsh-whale/* routes and share the same ledger files.

Adds an OpenCode Go usage page to dsh Settings with per-model 5-hour, weekly, and monthly spend and remaining allowance.

Resumes a dormant DSH session on demand: when a session is not currently live, it is resumed from disk with the provider/model route it last used, so external integrations (chat bridges, schedulers, webhooks, other plugins) can deliver into it instead of failing with "that session is not alive". Exposes an HTTP endpoint, a wake_session tool and a ctx.wakeUp service. Resuming only reads history back into memory and spends no model request by itself.

Graph-first permission preflight for DSH. The model declares a computation graph whose nodes state the semantic operation (download what to where, write what, delete what); the user approves nodes one at a time in a side panel, one approval covers one successful execution, and each node keeps an audit trail of what actually ran. Uncovered operations still ask through the native approval card, and a node blocked by an unanswered permission is suspended so work that does not depend on it can continue.

Take a breath mid-task: the current step finishes, then it holds. Resume sends no new request and spends no tokens; the timer freezes. Current session only.

Watches the context budget of a DeepSeek Harness session: a colour dot in every turn footer (green <50%, yellow 50-65%, orange 65-80%, red >=80%) read from the official contextPressure projection, a reminder panel with a one-click new-session handoff at orange/red, the /context-watch and /handoff commands, and a static reasoning-rule prompt section. Budget and handoff read local session files only; the badge and reminder spend no tokens until the button is clicked.

Sets a CNY spending cap for each DeepSeek Harness turn (¥5 by default) and stops the run before the next model request once the cap is reached; the switch and amount sit at the right end of the composer dock.

Sidebar chip showing the current DeepSeek price period (peak or off-peak), the selected model's price per million tokens for cache hits, cache misses and output, the account balance and today's spend.

Composer-dock billing panel: DeepSeek account balance, official per-model usage and spend with cost per 100M tokens, plus cost estimates for this run and the whole conversation. Clicking opens a popover that matches the composer's width and position; balance comes from /user/balance, usage and spend from platform's usage endpoints, and the whole-conversation total is folded read-only from the local session log. Zero dependencies (node:https + node:zlib), writes nothing to disk.

Per-call token meter for the DSH composer: a colour-coded pill under the input and a dashboard above it showing every model call (total versus billable input+output), sub-agent spend, tool overhead and cache-versus-fresh input, read only from local session logs.

Shows today's, this month's and cumulative spend in the sidebar footer, under the message box and in the session header. Spend is metered by the plugin itself from session usage events using official DeepSeek unit prices (peak/off-peak, weekends and holidays treated as off-peak), with local-day aggregation and currency conversion. Also adds a cost_today tool and a /cost command.

Puts a WuwaTappo desktop pet's bubbles to work: shows the DeepSeek balance, today's spend and a per-turn cost bubble, and keeps an amber reminder bubble up while the agent waits for an answer or an approval. Talks to the pet over CDP, enabling its debug port with a one-time, revertible byte patch.

Per-model API price table with Peak and Off-Peak rates in USD or CNY, the DeepSeek account balance and live session spend under the composer, an all-time total, a collapsible source URL and check date per model, and optional per-model Peak schedules.

See what a conversation actually costs: how many model requests, how big the system prompt and tool table are, cumulative tokens, estimated spend, and how far you are from automatic context compaction. Reads the local session log only; never calls a model, never adds a word to the system prompt. Token and spend figures are estimates from character counts, not provider usage.

Native Anki workspace backed by one real headless Anki collection: browse, edit, add and review notes, suspend cards, import and export APKG, and sync with AnkiWeb, with the same collection exposed to the anki AI tool. No Anki desktop app, AnkiConnect or Qt is started. Supports Windows x64 and macOS 12 or later (Apple Silicon and Intel). The matching headless Anki core, CPython and all Python runtime dependencies are bundled, so no separate Anki or Python installation is required.

An x_archive tool that turns an X (Twitter) post link into a permanent Markdown snapshot via the 2100laike archive service: images are re-hosted so they never break, snapshots survive post deletion, resubmits dedup-hit and return the latest version without spending quota, and refresh forces a refetch with a PAT. Needs the third-party 2100laike service; anonymous use is limited to 8 archives per day per plugin instance and a registered PAT raises that to 100 per day.

A wb_archive tool that turns a single Weibo post link (m.weibo.cn/status/...) into a permanent Markdown snapshot via the 2100laike archive service: long posts are fetched in full, images are re-hosted so they never break, snapshots survive post deletion, and resubmits dedup-hit and return the latest version without spending quota. Needs the third-party 2100laike service; anonymous use is limited to 8 archives per day per plugin instance and a registered PAT raises that to 100 per day.

Structured image recognition: local sharp measurements plus a cloud vision model return description, OCR with coordinates, object locations and fine-grained attributes in one call; a fingerprint cache makes repeated images return in milliseconds without spending model quota.

Free Egg credits panel for the DSH sidebar: WorkBuddy / Qoder account balances, daily budget, check-in state and per-turn spend (WorkBuddy credits priced per input / cache / output token type where rates are known), with one-click switching of the platform whose credits are spent first when new-api is configured. Requires a local WorkBuddy2API or Qoder gateway.

Cross-session token dashboard for DSH: daily spend as bars, trend or cumulative views plus a GitHub-style annual activity calendar, model and workspace splits, cross-filtering between day, model and workspace, and a per-turn timeline that also covers web-search and auxiliary model calls.

Adds a Teams sidebar dashboard that lists every Agent Teams chat with its roster and task roadmap, token spend in USD and RUB, work and online time, and an archive of older teams. Requires the Agent Teams plugin.

Adds an Omni-modal settings section to DeepSeek Harness that points the harness at any OpenAI-compatible image and video endpoint: switchable config profiles with separate endpoint, API key, model, path and size for each side, free-form extra request parameters, a connectivity test that does not spend generation quota, and three model-visible tools — generate_image, generate_video and check_video — with async video tasks that survive restarts.

Live estimated session spend in the composer dock, pricing each assistant step at DeepSeek's peak or off-peak rate for its own timestamp.