reasoning 48

A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers.

Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models

Thinking-loop guard for dsh: observes the llm/stream waterfall and breaks a model that degrades into a loop. Detects two per-call shapes (reasoning-only calls, restated-material calls) and re-fires instead of latching; plus two mid-stream breakers that en

DSH 实时思维链锚定监控插件: we/let's/let me 指纹波段检测(spec/mixed/react) + L1温和引导/L2强制重置/L3会话重启分级干预; 左侧栏入口 + 液体毛玻璃浮层 + 变阻器式思考强度条; 独立监控进程 + JSONL 实验日志 + 离线回放/参数校准; 变阻器条可选严肃/「滑动变祖器」梗双皮肤。

NoLetMe — real-time reasoning-trajectory keyword stats for the DeepSeek Harness web chat. Tracks the We-need/Let's efficient trajectory vs the Let-me hesitant trajectory vs the The-user-wants neutral framing in the model's streaming reasoning blocks.

DeepSeek Harness (DSH) plugin: edit any assistant message's reply text AND reasoning/thinking chain right in the conversation. A pencil action opens a list of every finalized reply; edits are saved as a surface replacement so the model only ever sees YOUR

Codex-style reasoning-effort slider embedded in the DSH model selector

J-Space Cognition Suite SV1 native Agent Preset and standalone plugin for DeepSeek Harness

Reasoning-wait thinking indicator for the DeepSeek Harness web composer

DeepSeek Harness 插件：一键配置任意 OpenAI 兼容 API 并自动带思考模式，同时规避 developer 角色被第三方端点拒绝（content_filter）的问题。

Plays a vanilla Minecraft villager "hmm" whenever the model hums inside its reasoning chain.

Notched reasoning-effort slider grouped with the model picker for DeepSeek Harness — native DSH styling, adaptive theming (light/dark + theme plugins), i18n (en/fr/zh), realtime drag. 100% modular, zero core changes.

DSV4.1 reasoning support with multimodal context and bounded artifact acceptance for DeepSeek Harness

Capability-aware reasoning effort slider for the DeepSeek Harness web model selector.

DeepSeek Harness plugin with two default model-and-reasoning shortcuts above the composer and optional Settings customization.

面向 DeepSeek Harness Standard 的 DeepSeek V4 首轮 RL 锚定插件，promotion 后恢复完整能力与 Skill。

Reasoning effort slider for DeepSeek Harness — a client (web) bundle that injects a per-session slider into the conversation input, shown when the selected model declares reasoning effort levels. Works with any provider that has reasoning efforts (Bailian

DeepSeek Harness 的增强模型选择器：单层菜单（搜索 + 分组）+ 底部内联推理强度（Effort）滑杆。

DeepSeek Harness plugin that steers reasoning toward Simplified Chinese and translates eligible reasoning blocks.

DSH 的第三方模型补齐思考等级：在官方 Models 页每个模型行注入 Thinking 开关和强度/模态编辑器，在输入框模型菜单加供应商→模型选择器、视觉徽章与等级行，并带搜索、拖拽排序、供应商启用开关；以及按路由接管请求头与 user-agent。

Codex-style /reasoning command for DeepSeek Harness Web: select the reasoning effort of the current model from the slash menu

ModelTester — model detection & attribution panel for the DeepSeek Harness web chat. Ranks vendor families (DeepSeek / Anthropic / OpenAI / Google / Qwen / GLM / Kimi / MiniMax / MiMo / Baichuan / SkyWork / LongCat / InternLM / Step / Yi / Llama / Mistral

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 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.

One plugin for a calmer DeepSeek Harness: reading view + message rail + smart history loading, for Harness 0.1.0-0.2.0 (all rc).

A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers. Fork adds answer message bubbles with a settings switch.

模型能力管理：为手写模型设置图片输入与推理强度、线路系统消息角色（可一键继承目录模型的精确能力）。

模型能力管理：为手写模型设置图片输入与推理强度、线路系统消息角色（可一键继承目录模型的精确能力）。

A minimal reasoning-effort ruler for the DSH composer: one hairline, a sliding marker, per-model memory, optimistic switching — and a streamlined model picker.

DSH plugin: resumes a turn that ended successfully with reasoning only, no text and no tool call, by sending one bounded follow-up

Per-model reasoning effort declarations for GPT, Gemini and OpenAI-compatible providers in DeepSeek Harness

DSH 思维链可视化：把模型的实时思考按 turn → step →（思考原文 + 工具调用）聚合成可读的右侧栏视图

Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models

Thinking-loop guard for dsh: observes the llm/stream waterfall and breaks a model that degrades into a loop. Detects three per-call shapes (reasoning-only calls, restated-material calls, self-repeating low-entropy reasoning) and re-fires instead of latchi

DeepSeek Harness 插件：为第三方模型提供商的模型自动匹配模型名称并补齐推理档位（reasoning effort），使思考强度选择器在官方模型选择器中可用；并在设置页提供「模型能力」页，可编辑每个已添加模型的上下文窗口/输出上限/图片多模态。Third-party DSH plugin that matches model ids against a built-in knowledge table, declares per-model reasoning tiers in the ll

DeepSeek Harness web plugin: expand every thinking (Think) block and tool-call block by default, with a header toggle. · DSH 网页插件：默认展开全部思维链与工具调用块。

DeepSeek Harness 推理强度与网关增强插件：自动为 llm-pi-ai 下所有模型补齐推理强度档位（off→max 全七档），并自动为 OpenCode Go 网关注入必需的 x-opencode-session 路由 Header，写入 settings 由 dsh 原生解析生效。

「设置 → 模型调参」页：模型参数（推理档位/上下文/最大输出/输入模态）、「用途」页（标题生成独立路由，替换宿主标题行）、「绘图」页（绘图模型配置 + generate_image 工具 + 直接绘图面板）。v2 合并了原 dsh-plugin-title-model 与 dsh-plugin-image-generation。

Auxiliary-call reasoning policy for dsh: the harness marks its own background calls (compaction checkpoints, session titles) with a `purpose` and names no reasoning level for them, so `dsh-llm` fills the gap from the route's declared default and they thin

DeepSeek Harness 插件：让模型的思考（reasoning）与最终回答默认使用简体中文。A Chinese-first plugin that makes DeepSeek Harness reason and answer in Simplified Chinese by default.

Guards for silent successful turns in dsh: observes the llm/stream waterfall and reclassifies (1) a reasoning-only completion (a stop with no text and no tool call) as EMPTY_RESPONSE and (2) a stop whose usage accounts for zero tokens on a route that has

Chain-of-thought keyword counting and highlighting: per-word count chips with a click-to-suppress switch, per-word colour, text colour and text size, whole-word matching, and a dedicated settings section

DSH (DeepSeek Harness) 插件：为每个 LLM 模型配置默认推理等级（reasoningEffort），并在请求进入底层调用链前按路由规则自动补齐

Codex-style live reasoning and tool-call collapse for the DSH Web chat view.

One plugin for a calmer DeepSeek Harness: reading view + message rail + smart history loading, for Harness 0.1.7.

Thinking-loop guard for dsh: observes the llm/stream waterfall and breaks a model that degrades into a loop. Detects two per-call shapes (reasoning-only calls, restated-material calls) and re-fires instead of latching; plus two mid-stream breakers that en

Primary-controlled deliberation and opt-in masked review for DeepSeek Harness

A production-oriented llama.cpp LLM provider for DeepSeek Harness, with first-class Qwen reasoning support: streaming tool calls, adaptive inference policies, multi-endpoint reliability, capability-aware routing, discovery, observability, and diagnostics.