dsh-matrix-think
Matrix rain for expanded thinking in DeepSeek Harness Web
180 results
Matrix rain for expanded thinking in DeepSeek Harness Web
滑动变祖 · 马圣皮肤:an opt-in adaptive reasoning slider skin for DeepSeek Harness
DeepSeek Harness plugin that enhances custom provider setup by auto-discovering models and auto-populating contextWindow, maxTokens, vision, and reasoning capabilities from models.dev
Animated reasoning-level slider for DeepSeek Harness model selection.
Ranked subagent delegation for DeepSeek Harness: role-based model routing with failover, per-route reasoning effort, fork delegation, transparent model labels, and a visual route editor in Settings.
DSH web 插件:折叠思考过程直接输出回答内容;在会话输入框上方增加会话活动状态条,展示 Think / Edit / Bash / Read,可展开与收起。 / DSH web plugin: folds the thinking process so answers render directly, and adds a session-activity status bar above the composer showing Think / Edit / Bash / Read, expandable and collapsible.
Readable thinking display for DeepSeek Harness: live per-paragraph summaries of the reasoning stream, rendered in the chat history where the 'Think' row is, with a user-chosen summary model (thinking disabled on summary requests).
Enhanced DSH subagent tools with per-call model and reasoning-effort selection
DSH web plugin: splits the composer model selector into two independent controls — a searchable, favorite-marking model dropdown and a reasoning-effort slider — plus Ctrl+P (cycle favorite models) and Ctrl+T (cycle reasoning effort) shortcuts.
DSH 插件:给所有非官方(自定义)提供商的模型自动填充模型信息,包括:推理级别、最大上下文、输出上限与图片模态,数据来自 models.dev。
Save and switch model and reasoning-effort presets in the DeepSeek Harness composer.
DeepSeek Harness plugin: direct multimodal image transfer declarations + per-session image clearing, reasoning-effort auto-fill, and progressive Figma MCP bridging (design-to-code + AI-driven design).
Codex-style turn folding: collapse each group of reasoning + tool-call nodes (between visible outputs) into a single disclosure unit
OpenAI-completions-compatible adapter for custom gateways (vLLM / LM Studio / self-hosted proxies): always role:"system", enable_thinking / chat_template_kwargs / reasoning_effort driven by the llm-pi-ai model config, and a </think> split on the receive side — no pi-ai behavior guessing.
Model and reasoning-effort switcher: composer seat with an Off/Max effort slider over session.models / session.selectModel
Live reasoning-token badge — Think(5.2K) — on every Think disclosure row of the DSH web UI, ticking while streaming · 在 web 界面 Think 行标题后实时显示思考内容 token 数的 DeepSeek Harness 插件
DSH web plugin: a draggable ring-gauge dashboard pinned to the bottom-right that shows live model output speed (tok/s), with an expandable detail panel (per-step exact speed, TTFT, cache-hit rate, cache read/write, reasoning and input tokens, model, cumulative tokens).
DeepSeek 中转站(OpenAI 兼容网关)思考强度适配插件:让 UI 出现 Off/Low/High/Max 推理等级选项,并按中转站格式发送 reasoning_effort / thinking
Named subagent profiles with configurable model routing and reasoning for DeepSeek Harness
DSH plugin: keyboard shortcuts to switch models and reasoning effort levels
Hmm-Wait 思维链弹幕:监听模型思维链(reasoning)输出,当出现 hmm / wait / let me 等触发词时,在 dsh Web GUI 上弹出可配置的弹幕动画(方向 / 速度 / 抖动 / 样式均可调),并带官方设置面板开关。
增强的模型设置页插件:为自定义模型提供每模型推理强度(reasoningEfforts)编辑,OpenAI 兼容网关可直接勾选 low/medium/high 等档位;聊天模型选择器随之显示 Effort 菜单。
Top-right widget counting 'let me' / 'we' / 'let's' / 'I'll' across all reasoning chains of the current conversation.
Minimal epoch bootstrap, full-tool promotion, and hard handoff compaction for DeepSeek Harness