Plugins

Tsundere mesugaki persona pack: dialect replaces whole sentence skeletons instead of sprinkling dialect words, stays on as the default voice even through work talk and delivery reports, and ships a temper system, banter mode and silent file handling.

Compiles an LLM persona in DSH from six dimensions (identity, tone, creative habits, feedback style, boundaries, run parameters), injects the compiled text into the system prompt at the end, ships six built-in templates plus a drop-in templates folder, and drafts a persona from your own past messages — either by counting patterns in them or by having the current model read them and report its rationale. Adds a panel next to the composer and a /persona command.

Starts the WorkBuddy Panel backend (wb2api.exe from workbuddy2api-panel, Windows) with DSH and on exit stops only the process it launched; optionally syncs the backend's /v1/models into the workbuddy provider, and its settings card picks models, shows credit multipliers and installs, updates or rolls back the backend from checksum-verified GitHub releases.

A row of model preset buttons above the composer: left-click switches the session to that preset's provider, model and reasoning effort, right-click opens an editor for it, and each preset can carry a custom name instead of the model id. The editor reads the session's live model catalog, and presets are stored locally.

Text-to-image and image-to-image for a model that cannot draw, through any OpenAI-compatible image API, with multiple providers and an automatic fallback model.

Shows Provider/Model in the DSH Web composer model selector trigger; the dropdown list and its search are unchanged.

Pick the model your subagents run on — with a reasoning-effort ceiling and an output-token cap — enforced in code on every child DSH starts, whichever tool starts it.

Connects Trae enterprise models to DeepSeek Harness from a personal access token alone, calling llm_raw_chat directly with no trae2api or traecli process; fetches the model catalog from upstream on startup and shows remaining quota for personal packs and enterprise seats.

Connect OpenCode Zen free-tier models into DeepSeek Harness. Real-time model discovery, per-model toggle in settings, one-click provider write. No API key required.

Time-based model routing: a settings panel defines weekday peak and off-peak windows and the provider/model each one uses, the choices are read from the harness registry (API keys and subscription logins alike), and a global switch decides whether that policy sets the model and reasoning effort of every request. The switch is independent per session, each session row carries a light showing its own state, and the settings panel names the model in force right now and why. A day no window matches — every weekend and holiday — uses the primary model of the first plan; the advanced thinking model is a separate axis, used only when a session itself asks for max reasoning.

Deep-space theme for the Harness Web GUI: two fully designed light and dark palettes over a seamless cross-dissolve nebula wallpaper, plus a model probe that reports which configured models actually answer and their real context window.

Adds a Matrix-inspired digital-rain startup animation for DeepSeek Harness, a rectangular light portal that opens to both sides, optional replay when the desktop window reopens, and a green UI theme with adjustable hue.

Session budget gate for DeepSeek Harness: prices every turn against the official price table, warns at 80%, stops the task at 100%, and writes a handoff snapshot so the next session can continue the work.

Extreme LLM-call compression for DeepSeek Harness: title short-circuit, in-flight dedup, 24h replay cache, and batch-merging N parallel requests into 1 upstream call via a `[[TASK n]]`/`[[ANSWER n]]` delimiter protocol - fewer API calls, less spend, same answers.

Auto-expand reasoning and tool cards, tune code-block font size and line spacing, and choose the model output language (auto, Chinese or English).

Local Token usage dashboard in DSH Settings with hourly activity, daily heatmaps, custom date ranges, model breakdowns, local/API filters, and native cache-hit accounting, without cost estimates or composer overrides. Requires DSH 0.2.0-rc.2 or newer.

Shows DeepSeek API balance and per-turn conversation cost directly in the session UI.

Realtime token counter beside the deep-thinking indicator in chat, with merged or split input/output display, per-step operation counts, and auto-scaling K/M/G/T units.

A composer switch between running always and running only in off-peak hours, set per session: a task is judged by the session that owns it, so changing one session no longer changes the others, and a session without its own choice follows a default. In off-peak mode every task, including one already running, is held at its next agent step or tool dispatch when a Beijing peak window starts (Monday to Friday 09:00-12:00 and 14:00-18:00, statutory holidays excluded), and one timer releases it at the boundary; weekends and holidays are idle all day. The holiday calendar lists every statutory day off in 2025 and 2026 from the State Council notices, and a year with no data is reported as unknown rather than assumed to be a workday.

Keeps a pricing-period badge in the sidebar footer of the Web UI. It shows whether the DeepSeek API is currently in an off-peak or peak period, plus how long until the next switch. Click it to open the rules, the price table currently in force, and the balance of the signed-in DeepSeek account.

Account balance and cost statistics pill for DeepSeek Harness. It adds a pill at the right-hand end of the official stats row below the session composer, combining the billing period (peak/off-peak, colour-coded), the account balance and the current session cost; clicking it expands a per-session breakdown with cache-hit input, cache-miss input and output amounts, plus cost per model. The rate table is refreshed with plugin releases to follow official pricing.

Read-only clinic for DSH session logs: 22 named diagnostics (token waste, retry and failure loops, context bloat, cross-session amnesia, idle MCP servers and skills), each reported with a replayable evidence locator such as session.v4.jsonl.zstd#L101-L110, and each finding turned into an executable prescription — a profile-patch YAML snippet or a command with current to suggested values, risk, verification and source — plus a feedback command that retires a prescription you reject, after which the report states it was removed by your feedback. Zero dependencies, default zero egress, session files are never written.

Draws circles, arrows, boxes and text on the DSH image preview, keeps every mark selectable so it can be dragged, scaled or re-edited later, and attaches the flattened PNG to the composer at the original image resolution.

Set the DSH Harness conversation flow's font, font size and line spacing, plus the padding between the conversation text and the window edges.