@hytime/dsh-thinking-effort
为 DSH 的 pi-ai 第三方模型补充可配置的思考强度档位,并设置子 agent 默认思考强度。
21 results
为 DSH 的 pi-ai 第三方模型补充可配置的思考强度档位,并设置子 agent 默认思考强度。
DSH host plugin: cuts tool-call latency by auto-downgrading reasoning_effort for simple tool tasks, with per-tool timing telemetry.
DSH host plugin: thinking-level (reasoning_effort) control for dsh — auto-adjust per tool round, with optional manual lock and per-tool timing telemetry.
Codex-style reasoning-effort slider embedded in the DSH model selector
DSH插件:将推理强度选择重构为滑动条组件
DSH plugin: keyboard shortcuts to switch models and reasoning effort levels
Codex-style /reasoning command for DeepSeek Harness Web: select the reasoning effort of the current model from the slash menu
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。
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。
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
DSH 动态思维链插件: 按当前子任务难度自动为 DeepSeek 选择推理等级 (off/low/high/max)。大任务拆分出的每个小任务、每个子代理各自按难度动态分配思维深度。
A DeepSeek Harness plugin with a vertical model list and an animated Three.js particle reasoning-effort control.
DSH reasoning effort slider with 7 levels and cool visual effects
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.
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)
Expose per-model thinking levels (reasoningEfforts) inside the Models settings card for a custom model API route.
DSH plugin: model reasoning levels plus CLI request mimic, with a unified Daily Optimization settings section.
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).
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。
Reasoning-effort setup page for DeepSeek Harness: detects models that expose no thinking levels and edits their llm-pi-ai reasoningEfforts declaration from a settings page