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

2026.8.17 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。

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

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.

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.

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

🧠 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

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

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

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.

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.

Experimental transparent broker for the Claude Code CLI: classifies each prompt locally (deterministic, zero tokens, no AI calls) and applies the right reasoning effort level before inference same model, same session, exactly one forward, fail-open by design.

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

读取当前 Codex 模型与推理等级，按配置区段判断是否适合后续工作，并只在切换有实际价值时给出建议。 / Reads the active Codex model and reasoning effort, evaluates the next configuration segment, and surfaces only worthwhile switches.

Automatically add reasoning-level controls to compatible DeepSeek Harness provider models

Unofficial dynamic reasoning-effort router for OpenAI Codex CLI on Windows. Auto-selects low, medium, high, or xhigh with bounds and overrides.

Safe model, reasoning-effort, and task-continuation routing for Codex Desktop. 面向 Codex Desktop 的安全模型、推理强度与任务继续路由器。

DSH推理强度安装工具 | DSH Reasoning Effort installer - 让官方模型选择器支持推理等级选择，一键安装，支持任何模型供应商 | Enables reasoning effort selection in the official DSH model selector, one-click install, works with any provider

Utility plugins for DeepSeek Harness: ytdlp video download tools (1000+ sites), reasoning-effort-auto cross-provider adaptation, preflight source encoding/syntax checks.