dsh-ark-plan
Correctly activate DeepSeek v4 flash on the Volcano Ark plan API for DeepSeek Harness: default config injection (ark provider + reasoningEfforts + reasoningEffort=max) plus an ark_plan_doctor self-check tool.
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Correctly activate DeepSeek v4 flash on the Volcano Ark plan API for DeepSeek Harness: default config injection (ark provider + reasoningEfforts + reasoningEffort=max) plus an ark_plan_doctor self-check tool.
Automatically add reasoning-level controls to compatible DSH provider models.
DSH Web UI model seat: 3-level quick slider (low/medium/high, each preconfigured with model + reasoning effort), advanced model/effort picker, modality icons, and per-provider usage/balance display. DSH 模型选择器增强:低中高三档快切滑块 + 高级选择 + 模态图标 + 供应商用量显示。
Configure model input capabilities and reasoning efforts for DeepSeek Harness
Per-stage model routing for dsh-TUI: let subagents run on a different provider/model/reasoning-effort, configured in /settings (model-switch namespace), status via /model-switch.
DSH plugin: when a provider's model sync returns only ids, automatically fill display name, context window, max output tokens, reasoning efforts, and input modalities from the models.dev catalog (cached, TTL-refreshed), and surface a settings page with toggles, refresh, and a fill report.
DeepSeek Harness 插件:在 Web GUI 中选择模型的推理程度(reasoning effort)。按当前模型的适配器目录展示可选档位(如 Off / High / Max),一键写入会话的模型选择。
Replace the DSH Web reasoning-effort chooser with a compact animated FX slider that scales with effort level.
Codex 风格 6 档性能滑杆:每档绑定模型 + 推理等级,并切换 31 张本地人物背景。 / Codex-style 6-level performance slider for DeepSeek Harness (dsh web).
Adds a search field inside the model picker menu of the composer. Drop-in replacement for the native model seat, sharing the same per-session ModelDirectory so /model popup, the effort selector, and the /model command stay consistent.
Model selection as a three-level cascading menu (Provider -> Series -> Full model) plus thinking-intensity (reasoning effort) selection for the composer model seat.
DSH Web 思考强度就地替换插件:把模型座位「推理等级」面板里的原生单选行替换成 Claude Effort 卡片风格的美丽滑块(Off / Low / High / Max,含 WebGL 火焰),选择仍走官方会话链路。
Unattended full-access (yolo) mode for the DeepSeek Harness: a human-only /yolo switch arms danger-full-access + never-approval for long autonomous runs, with a best-effort catastrophic-command tripwire guard, optional time-boxed expiry, and idle/denial notifications (desktop / webhook / email)
Custom DSH task board fork with per-task provider, model, and reasoning-effort pins.
DSH plugin: model reasoning levels plus CLI request mimic, with a unified Daily Optimization settings section.
Ultra mode for DeepSeek Harness: a per-session effort tier that pins reasoning to max and activates an orchestration policy section, with a composer ULTRA chip and rainbow border in the web UI
Effort bars for DeepSeek Harness — click signal-style sticks next to the model button to switch the reasoning effort instantly; the model menu opens straight to the searchable list.
DSH plugin that replaces the official Models settings page: provider management, per-model reasoning effort, retry overrides, drag reorder, credential status, upstream model sync, and fixed model deletion
Per-route context window, compaction threshold, and per-model thinking-effort controls for DSH models. · DSH 模型上下文窗口、压缩阈值与思考强度设置。
Aggregate DSH plugin bundle — one install, five plugins: dsh-memarc (long-term memory + session archive), dsh-session-git (export/import sessions as committed JSON), dsh-session-branches (session fork tree), dsh-goal-auto-resume (re-arm unfinished goals), dsh-model-reasoning (per-model reasoning capability & effort editor). Declares dsh.bundle, so the whole repository installs as a single profile layer: no clone, no build.
Minimal emergency-maintenance terminal front-end for DeepSeek Harness: session picker + resume, inherited permission presets, live model/effort routing. · DSH 救援 TUI:WebUI 挂掉时的极简终端维护入口(会话续聊 / 权限继承 / 模型路由切换)。
在 DSH 已打开子代理的 Header 展示 provider、model 和 reasoning effort
DeepSeek Harness model selector upgrade: one-level model & reasoning-effort picker with 5 Liang tiers, custom model aliases, and peak/off-peak price countdown.
Per-model reasoning effort declarations for GPT, Gemini and OpenAI-compatible providers in DeepSeek Harness