dsh-reasoning-effort
HanaAyane
DSH适用的Codex风格的思考强度滑块,以及大肥鱼跑步滑块。Codex-style model and reasoning-effort slider for DeepSeek Harness
GITHUB TOPIC
18 个项目包含此标签
18 个项目
GitHub Topic 精确匹配
HanaAyane
DSH适用的Codex风格的思考强度滑块,以及大肥鱼跑步滑块。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.
hytime
A DeepSeek Harness plugin for reasoning-effort defaults and protocol-aware gateway compatibility settings for llm-pi-ai models.
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.
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
supersealwqas
DeepSeek Harness 第三方 API 与自定义模型设置插件:支持请求头、User-Agent、模型列表、图像输入和思考等级 | WebUI plugin for third-party APIs and custom models with request headers, image input, and reasoning levels
JuneLearn
让 DeepSeek Harness 的第三方 API 支持低、中、高等推理强度,并可为每次子 Agent 调用选择模型|Add Low, Medium, High, and other reasoning levels to third-party APIs, with model selection for each subagent call
Mutx163
🧠 DSH 自定义模型思考等级管理与偏好持久记忆插件 | Custom model reasoning effort management & cross-session memory for DeepSeek Harness
bamboostrip
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
Vast-Unhurried
DeepSeek Harness 实用工具箱:便签、API 余额与费用、删除会话、第三方模型推理等级、对话节点导航条、轻拟物皮肤
AI-Galaxy-GPU
DeepSeek Harness 插件:在 Web GUI 中为会话选择模型的推理程度(reasoning effort),星光推理选择器一键切换 Off / 默认 / High / Max。
LXFLGH
DeepSeek relay station adapter for deepseek-harness with reasoning-effort control
zisen123
Minimal reasoning-effort ruler for the DSH web composer: hairline + sliding marker, per-model memory, optimistic switching, streamlined model picker
icekale
Automatically add reasoning-level controls to compatible DeepSeek Harness provider models
imkingjh999
DSH plugin: auto reasoning_effort (low/high/max) per turn via MiniMax complexity scorer + token ledger + per-reply metadata label
taod8205-spec
DeepSeek Harness 模型与推理强度一键切换插件,支持胶囊滑杆、档位吸附和极高态视觉。
Triple3h
DSH Web plugin: per-model reasoning-effort configuration and selection — settings page + slider embedded in the model picker. DSH Web 插件:逐模型推理力度配置与选择(设置页 + 模型选择器内嵌滑块)。
WSL043
已归档:DeepSeek Harness 模型感知推理强度滑杆;现有 Release 与演示保留,不再适配未来 DSH。