dsh-reasoning-level
DeepSeek Harness 统一推理等级插件:一个 llm-reasoning 设置项动态配置 DSH 所有模型的默认推理等级(思考等级)——自动为手写声明的模型补齐推理能力、按路由设置默认等级(仅当全部模型支持)、同步 DeepSeek 官方路由,改设置即生效。
53 results
DeepSeek Harness 统一推理等级插件:一个 llm-reasoning 设置项动态配置 DSH 所有模型的默认推理等级(思考等级)——自动为手写声明的模型补齐推理能力、按路由设置默认等级(仅当全部模型支持)、同步 DeepSeek 官方路由,改设置即生效。
DeepSeek Harness plugin that steers reasoning toward Simplified Chinese and translates eligible reasoning blocks.
在 Settings 面板中为自定义 pi-ai 模型编辑推理等级(reasoningEfforts),支持多选、拖拽、复制粘贴,自动保存。
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).
A calmer reading view for DeepSeek Harness: native process details, live reasoning, and clean final answers. (daha1216 fork: reading-view display support for dsh-retrace — shadowed-row hiding, markers, and edit references)
季节护肤
J-Space Cognition Suite SV1 native Agent Preset and standalone plugin for DeepSeek Harness
DSH host plugin: force the agent's chain-of-thought / reasoning / planning / tool-invocation deliberation to stay in Simplified Chinese — 让 Agent 的内部思考(思维链)始终使用简体中文。
Alibaba Bailian (DashScope) model catalog preset + auto-adapter for DeepSeek Harness — reasoning effort levels, thinking budgets, context windows, auto-adaptation of existing Bailian routes, a configurable context ceiling
A DeepSeek Harness plugin with a vertical model list and an animated Three.js particle reasoning-effort control.
Xiaomi MiMo v2.5 adapter for DeepSeek Harness LLM seam with thinking chain support
DSH reasoning effort slider with 7 levels and cool visual effects
Structured context for DeepSeek Harness: split the conversation into typed sub-contexts (reasoning / tool calls / replies) and index them with a table of contents. 结构化 dsh 上下文:按类型拆分小上下文(思考/工具调用/正式回复),以结构化目录为索引。
Codex-style /reasoning command for DeepSeek Harness Web: select the reasoning effort of the current model from the slash menu
Grant official-style reasoning-effort selection to hand-declared pi-ai models (DeepSeek relays and the like) in the chat box
Replace the DSH Web reasoning-effort chooser with a compact animated FX slider that scales with effort level.
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。
在 dsh 模型目录的每一行直接设置该模型的思考强度范围与支持的输入模态 (Per-model reasoning-effort range and accepted input modalities, right in the dsh Models catalog)
Merge consecutive reasoning blocks in the DeepSeek Harness host stream
Minimal epoch bootstrap, full-tool promotion, and hard handoff compaction for DeepSeek Harness
DSH plugin: model reasoning levels plus CLI request mimic, with a unified Daily Optimization settings section.
调味技巧
Require and relay concise action summaries before tool calls in DeepSeek Harness
Triage a scattered backlog into a bounded queue of decisions: every item gets a disposition (now / next / scheduled / waiting / reference / drop) with a stated reason, dropped items leave the list instead of haunting it, and anything that changes a commitment goes out as one approval batch.