Plugins

Merges AprilCrystal/dsh-client-ui-gpt-helper and zszz3/dsh-model-provider-prefix — two composer model-seat plugins that cannot be installed together — into one control: a Provider / Model trigger opening a two-column card where hovering the provider column swaps the models without moving the card, a separate reasoning-effort trigger with a particle slider, and a search that spans every provider while the card keeps its size.

DSH plugin: configure per-model reasoning effort levels for custom pi-ai providers in the Models settings page, with presets for GPT, Claude, Grok, GLM and MiMo models.

A simplified version of the Plan/Act feature in the RooCode and Cline VS Code extensions, binding one provider, model and reasoning effort to plan mode and another to act mode, with per-workspace overrides.

Parent-agent dispatch with review: split a task into work orders, hand each to a contractor you picked (its own provider, model, and reasoning effort), then pass or fail every delivery — failed ones are re-dispatched with your feedback.

ZenTao work panel in the DSH left sidebar: lists tasks, bugs and stories assigned to you (web-login protocol, so instances where the RESTful v2 API is unavailable are supported — verified on ZenTao 18.13 open-source) with search, smart sort, overdue / due-today filters and a flow-board view; opens a new chat pre-filled with the card's description, recent comments and screenshots (or a blank one), or dispatches it to a new background session with workspace, model, reasoning-effort and optional-instruction selection (single or multi-select batch), turns screenshots inside ticket descriptions into real image attachments, reads back the linked session's latest reply once a card is done and lets you answer the agent from the panel while it waits on you, and tracks each card with live running / needs-decision / done status plus manual overrides and a manually-marked finished state, with a deep link to ZenTao's finish / resolve page. Multi-account; read-only, no writes back to ZenTao.

Port of the V2 memory pipeline from OpenAI Codex to DeepSeek Harness: a background agent extracts each idle session, consolidation folds the extractions into one memory_summary.md behind a git baseline diff, new sessions get that summary injected, and cited memory flows back as usage counts. A Settings page chooses the model, each stage's reasoning effort, and the idle, age, concurrency and timeout limits.

Rates how hard the current message is and shows the cheapest model and reasoning effort that still fits, above the composer, before you send.

Official-style model + reasoning-effort control for the composer. Reuses the official picker and always offers Off/Low/High/Max — exactly like the official DeepSeek control — even when a gateway model declares no reasoning effort, with a small hint at the panel bottom when upstream does not natively support it.

A cosmic reasoning-effort slider for the DeepSeek Harness composer. Off, Low, High, and Max each have their own starfield and aurora, with smooth cross-fades and real per-session model selection.

Composer prompt refinement: rewrite the draft through the harness LLM, preview the result, then apply or send it, with style presets, model-aware reasoning effort, cost estimate and a settings page.

Reasoning-effort slider for the DeepSeek Harness composer: drag through the thinking levels the current model declares and release to write the chosen level into the session. An auto band escalates one level after a tool error and another after two or more, and optional model routing picks a provider/model per task type.

Effort slider in the model menu, a live tokens-per-second and turn-total readout beside the running status, a per-answer input/output/cached report, and a completion notification when a turn finishes, for the DeepSeek Harness Web GUI.

Adds a draggable off / low / high / max reasoning-effort slider to the composer model row and applies the selected level to the current DSH session. The slider only appears for models that offer all four effort levels.

Use your ChatGPT account to bring Codex models into DSH: choose models and thinking effort, chat with images, use tools and skills, approve local tasks, answer interactive questions, continue and compact long conversations, check quota and Token history, and maintain a supported Windows screenshot helper.

Volcengine Ark Coding Plan provider route for DeepSeek Harness with all 15 Coding Plan models and per-model reasoning-effort control, generated from a single source and drift-checked weekly.

Adds per-member model and reasoning-effort routing to DeepSeek Desktop Agent Teams, plus leader-initiated release of a teammate subagent run instance.

Replaces the composer model control with an inline Provider/Model trigger — clicking it opens a two-column card with providers on the left and the hovered provider's models on the right — and moves the reasoning effort into its own trigger beside it, unlike single-button model pickers.

Replaces the composer model picker with a compact panel for provider-to-model navigation and an adaptive reasoning-effort slider, with a Default stop and no slider for models without adjustable efforts.

Adds a session-scoped context window selector next to the reasoning-effort row in the DeepSeek Harness model popup: a pill showing the effective window opens a dropdown of presets below the model default, the choice applies to the next request of that session only, and a new session falls back to the profile default. It writes no config file and appends nothing to the session log.

Codex-style reasoning-effort card for the composer: takes over the model selector and shows the current level, the model row and a segmented slider over the model's own adapter-provided levels, with a model list, a reset, and a purple aurora with twinkling particles at the maximum level.

Composer model selector grouped by provider: pick a provider card, then drill into that provider to choose a model, with cross-provider search and Reasoning Effort kept.

Unofficial Claude UI-inspired model and reasoning-effort selector using the current model's available levels, with animated purple pixel effects.

Adds a sticky effort slider inside the composer model menu to select reasoning levels, with generic stops for custom models.

Model quick picker for DeepSeek Harness: a button left of the model dropdown opens a full model-selection dialog with provider grouping, live search, provider filter, capability tags read from the user's own input config, reasoning badges, recent-model shortcuts and a reasoning-effort picker; the choice writes back to the native dropdown immediately.