Plugins

Local billing dashboard for DSH model calls: multi-platform provider/model breakdowns of calls, tokens and spend, peak/off-peak pricing, manual CSV price import with peak windows, official-bill reconciliation, and HTML/PDF/CSV export.

Bottom info bar for the DSH Web UI: provider/model, live balance, peak/off-peak pricing with countdown, and real persisted per-session spend in a single line.

A personal usage profile page in the DSH sidebar, folded from this machine's own session logs through ctx.sessionQuery. Five headline numbers (tokens with a small trend and the change against the previous period, spend, longest task, the active-day streak with your best, today's cache hit rate), a 12-month activity grid in daily / weekly / running-total views, a model-family chart by day, week or month as stacked columns or a share pie (version and tier stay apart, and vendor-specific ids collapse correctly), a token-stats ring chart of where the tokens went (system prompt, tool definitions, user messages, injected context, skills, tool calls, reasoning, answers), tokens and spend per project with the subagent share, and a per-provider split with each route's own hit rate and spend. A range switch in the header (today, this week, this month, all time or custom dates) drives the token and spend numbers, the token stats, the projects and the providers, and the selected range exports as CSV or JSON. Spend is priced at bundled list prices (peak and off-peak hours for DeepSeek direct); each provider can be set to list price, a discount, a monthly plan or not counted, stored only on this machine. The only outbound request is a six-hourly read of this package's own version from npm for the in-panel update button - no telemetry, no credentials, nothing uploaded.

Per-round cache billing inside the composer context-meter popover: what the current call spends on cache hits, misses, and output in CNY, with automatic official peak/off-peak and per-model pricing; hidden on non-official DeepSeek routes.

Off-peak batch runner for DeepSeek Harness: users define tasks during busy hours — prompt, strategy, priority, workspace, locked files — and release them by hand; the plugin then runs the batch automatically inside user-defined off-peak windows. Each run passes five preflight checks (workspace, git HEAD, locked-file sha256, window fit, daily budget), supports four execution strategies (single / iterative / sampling / review) and three autonomy levels (L1 per-task, L2 batch, L3 full-auto), and closes the loop with a morning report containing diffs, actual spend and savings from a daily ledger aligned with official peak/valley pricing.

Pause and resume tasks automatically during user-defined time windows to avoid peak-hour API costs; includes account balance display and 10-minute granularity spend bar chart.

H.D.D skin for the DSH Web UI: a voiced full-screen boot animation, an animated eye core (idle / thinking / done) you can drag or hide, a brand swap on the new-chat hero, a time-of-day greeting, a usage bubble with balance, today spend and the peak/off-peak countdown, the Fairy-mode agent preset, and optional local GPT-SoVITS voice.

GitHub-style usage heatmap dashboard: per-workspace turn counts and token spend (with cache-hit rate), DeepSeek account balance, and workspace aliases.

Pause and resume tasks automatically during user-defined time windows to avoid peak-hour API costs; includes account balance display and 10-minute granularity spend bar chart.

Composer cost chip: prices the current session DeepSeek API spend message-by-message with the official pricing table (incl. the 2026-08-17 peak/off-peak policy); hover for the breakdown, today (DSH) total and account balance. DeepSeek models only.

Connects a Doubao account to DeepSeek Harness as a model provider after a single browser QR sign-in — live model discovery from Doubao web and desktop menus with inline composer billing multipliers and per-model thinking ladders, 「工作任务」 task-mode models spending paid quota, chain-of-thought reasoning streaming, Seedream image generation preferring original uncropped assets over watermarked variants, native DSH token usage and session stats tracking, and a live remaining-quota panel. Windows x64 only, since the session is sealed with DPAPI. Windows x64 only, since the session is sealed with DPAPI.

DeepSeek usage dashboard for DSH Web: days-left estimate from recent average spend, daily/monthly/cumulative costs with period-over-period comparison, per-model cost ranking, cache savings, peak/off-peak pricing impact, and a draggable floating balance widget.

Floating one-line widget showing how much Alibaba Cloud credit is left (voucher balance + account balance), with voucher face value, used amount and earliest expiry on hover. Read-only BSS queries, no spend tracking.

Usage and cost view for DeepSeek Harness: aggregates real token usage from existing session logs, locks each cost at the price of its event time, and shows month and today spend against a budget from a sidebar card or an input-bar pill.

Burned DSH tokens become incense; spend one stick to raise or lower today's case. The case updates daily, Liangwei decides today's Liangzi, and the result is archived at day end.

Cost tracking priced from an online catalogue (models.dev + OpenRouter, 8000+ models, each call priced at its own instant): a per-turn cost line, a Cost tab attributing spend to tool output / model output / system prompt / commands, budget, monthly forecast, ~166 live-rate currencies, and a bill_stats agent tool.

Five tools for reading a video as raw material rather than as something to watch. video_outline maps a whole file as text and draws nothing at all: 4-60 equal windows, each with its cut count, speech share, intensity bar and tags, then the windows worth opening and the exact start/end for the call that follows -- zero image tokens. video_probe returns metadata and a reading plan without decoding frames. video_storyboard turns a window into one contact sheet plus a text index binding every cell to its timecode, cut count and frame time; cells whose text would be illegible at that scale are marked zoom, and dedupe global folds a picture that comes back after a cut. video_zoom re-renders 1-9 cells from a short window at a larger scale. video_read decodes only keyframes, OCRs each screen, and returns an outline plus \[mm:ss] text -- the path for lectures, slide decks and screen recordings, where the words are the content. It also reads a file with sound and no picture as a transcript (subtitle track, then DSH_ASR_CMD, then a transcript file you pass; long audio is cut at 45 s onto silence), composes six changed frames into one sheet when a file has no readable text at all, and can write the result out as SRT, WebVTT or text. Cuts, dissolves and one-frame flashes are found in a single ffmpeg pass; from ten minutes up a file is analysed on its keyframes only, 2.7x faster on a two-hour lecture; and a cell is never shrunk below a fifth of the source, so a 1440p sheet spends the same tokens on fewer, bigger cells. OCR is the engine Windows ships, tesseract with line boxes, or DSH_OCR_CMD. It takes a B station link (bilibili.com/video/BV..., a bare BV id, an av id or a b23.tv short link) wherever it takes a file: up to 300 seconds is read from the CDN in place with nothing written to disk, longer videos are downloaded once and cached within a 4 GB / 24 video budget, play URLs are cached for ten minutes, and a link that is not a single video says what it is. Needs ffmpeg, uses ffprobe when present, and has no other runtime dependencies. It is a wire-compatible reimplementation of SAOS-3624/dsh-video-storyboard: it registers the same video_probe / video_storyboard / video_zoom tool names, so the two cannot be enabled together.

Turn your DSH token usage into a gacha game: feed a monster with tokens, earn coins, pull from 14 AI waifus (Kimi/GLM/Gemini/Claude and more), enhance artifacts, and build a Balatro-style battle team with daily sign-in bonuses.

Bottom info bar for the DSH Web UI: provider/model, live balance, peak/off-peak pricing with countdown, and real persisted per-session spend in a single line.

Token usage and estimated spend for the dsh web UI: floating panel with per-model, per-day, and per-session stats.

DeepSeek 账户余额、剩余比例条与今日花费，显示在 dsh 侧边栏底部 · DeepSeek balance, remaining-ratio bar and today's spend in the dsh sidebar footer.

Automatic context compaction: a background observer distills early history into summary blocks, and when usage crosses the trigger line the engine commits whole blocks until it is back under the target line, with no model call on the commit path. Blocks merge into higher tiers as material runs out, and decompress or search_context reads any block back at its original length. The background observer spends model tokens: it uses the session's provider and model unless you pick another, with up to 10 distillations at once by default.

Draggable 3D liquid-glass floating card for the DSH web GUI: DeepSeek API balance, cumulative spend/token stats (today/yesterday/7d/30d/all), adjustable glass/3D/color controls, and one-click top-up.

DeepSeek account balance and current-session spend estimate in a top-bar chip and settings card, with pause-aware auto-refresh, an editable official price table, a `deepseek_balance` model tool, and a bilingual UI.