dsh-reasoning-effort
HanaAyane
Codex-style reasoning-effort slider for DSH, plus a big fat fish running slider. Codex-style model and reasoning-effort slider for DeepSeek Harness
GITHUB TOPIC
17projects include this topic
The "reasoning-effort" topic on GitHub groups 17 open-source projects in the DeepSeek Harness (DSH) ecosystem, led by dsh-reasoning-effort with 112 GitHub stars. dsh-reasoning-effort — Codex-style reasoning-effort slider for DSH, plus a big fat fish running slider. Every project here is indexed by DSH Universe with live GitHub data — stars, activity and install status — so you can compare and install directly.
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HanaAyane
Codex-style reasoning-effort slider for DSH, plus a big fat fish running slider. Codex-style model and reasoning-effort slider for DeepSeek Harness
HaoyueQin
Reasoning-effort editing for third-party models in DeepSeek Harness: per-model thinking levels with a knowledge base + protocol inference, edited inside the official Models page card.
sanshanya
Per-model capability declaration for DeepSeek Harness: reasoning-effort levels (wire spellings) + request modalities (vision) for OpenAI-compatible providers. Settings section, zero runtime harness deps, no YAML.
justhalfbit
DeepSeek Harness (DSH) 推理等级自动选择插件:由 Jev System One 模型判断每条消息值多少思考量,按模型声明的等级自动推导档位,上下文信封让「继续」这类追问继承话题深度,低置信度向上取,任何失败都静默沿用原等级。 | Jev-driven reasoning effort per message: per-model ladders derived from what each model advertises, a fixed-size context envelope so follow-ups inherit topic depth, ties break upward, silent fallback on every failure path.
JuneLearn
Add Low, Medium, High and other reasoning levels to DeepSeek Harness third-party APIs, with model selection for each subagent call | Add Low, Medium, High, and other reasoning levels to third-party APIs, with model selection for each subagent call
supersealwqas
DeepSeek Harness third-party API and custom model settings plugin: supports request headers, User-Agent, model list, image input and reasoning levels | WebUI plugin for third-party APIs and custom models with request headers, image input, and reasoning levels
Mutx163
🧠 DSH plugin for custom model reasoning effort management & persistent preference memory | Custom model reasoning effort management & cross-session memory for DeepSeek Harness
peterwangze
DSH (DeepSeek Harness) plugin: unified default reasoning level (thinking effort) for all models — per-model defaults with capability probing, live call statistics, one-command install via dsh plugin
Vast-Unhurried
DeepSeek Harness utility toolbox: notes, API balance and cost, delete sessions, third-party model reasoning level, conversation node navigation bar, light neumorphic skin
AI-Galaxy-GPU
DeepSeek Harness plugin: choose the model's reasoning effort for a session in the Web GUI; the Starlight reasoning selector switches Off / Default / High / Max with one click.
forestbiankiii
Unofficial DSH Desktop provider extension: composer provider/account/model controls with per-account subscription quota
Model-aware reasoning effort slider for DeepSeek Harness, with a Claude-inspired WebGL energy field, native themes, and a live demo.
bamboostrip
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
icekale
Automatically add reasoning-level controls to compatible DeepSeek Harness provider models
Neptune810
Flash-only reasoning-effort routing for DeepSeek Harness, setting the DeepSeek flash model reasoning effort per step. The model never changes; effort max is opt-in.
raomaiping-hash
DSH plugin: per-model reasoning-effort levels and input modalities for custom llm-pi-ai providers — fields the official Models page does not expose. Cordis plugin, install via dsh plugin --profile web add github:raomaiping-hash/dsh-model-caps
Triple3h
DSH Web plugin: per-model reasoning-effort configuration and selection — settings page + slider embedded in the model picker.