reasoning-effort

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

2026.10.1 更新：ChatGPT Plus 国内订阅教程，涵盖 Gmail 注册、美区 Apple ID 礼品卡充值、Codex 手机号验证与二次验证、接码、CC Switch、中转、性价比对比，以及模型与推理强度选择。

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.

A DeepSeek Harness plugin for reasoning-effort defaults and protocol-aware gateway compatibility settings for llm-pi-ai models.

Open-source model and reasoning effort router for Claude Code and Codex, using Jev or experimental self-hosted Laya.

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.

Adaptive reasoning effort for OpenCode via Jev, with an in-process plugin and Responses API proxy

Codex 桌面版为 DeepSeek-V4-Flash 开启 Max 推理档位的完整排障与配置指南 / Complete guide to enable Max reasoning effort for DeepSeek-V4-Flash in Codex desktop

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.

科幻推理等级滑条 for DeepSeek Harness：Ultra 档 + 闪电编排模式 + 子代理 tok/s 读数 / A sci-fi reasoning-effort slider for DSH

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

ZCode 桌面客户端增强插件：思考档位配置（3.14+ 原生 optionSpecs）、用量图表全量、TPS 状态栏、思考强度滑条、一键增强提示词、设置页模型拉取。纯 Python 标准库，全部可检查、可精确还原、可在插件详情页逐项开关。

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

Claude Code plugin for token economy: the strongest model thinks, cheaper models grind. Pinned subagents (sonnet scout and implementer, haiku test-runner, opus reviewer), a routing skill, and a dispatch counter that measures what actually stayed off the session model.

DSH 插件 · 仿 Codex 的推理等级滑条，内嵌在模型选择器里 | Codex-style reasoning-effort slider embedded in the DSH model selector

ZCode 模型配置可视化编辑器：提供商/模型/思考档位管理，档位模板与官方目录自动匹配，单文件免安装 | Visual editor for ZCode model providers & reasoning levels

Effortlane: open-source model and reasoning-effort routing for coding agents. Native Codex auth, Shadow evaluation, cache-aware policy and local metrics. macOS; experimental Claude Code Shadow.

Claude Code plugin: Alt+E and Alt+Shift+E step the reasoning effort level up and down, shown as a colored meter in the footer

Agent skill + CLI/library that routes agentic AI tasks to the right reasoning effort (minimal→xhigh) while keeping the model fixed — for Codex CLI and the OpenAI Responses API, with auditable escalation.

Does increasing GPT-5.2 reasoning effort improve diagnosis accuracy enough to justify the token/latency cost? Ablation study on 897 paired medical cases.