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
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Updated
Aug 17, 2026 - TypeScript
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.
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.
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
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
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.
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.
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.
Unofficial dynamic reasoning-effort router for OpenAI Codex CLI on Windows. Auto-selects low, medium, high, or xhigh with bounds and overrides.
Automatically add reasoning-level controls to compatible DeepSeek Harness provider models
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
GPT 211API provider preset with full reasoning effort selection for DeepSeek Harness
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。
DSH (DeepSeek Harness) 第三方厂商模型推理等级配置:火山方舟 Coding Plan 模板、使用说明与 pi-ai 兼容补丁
Add a description, image, and links to the reasoning-effort topic page so that developers can more easily learn about it.
To associate your repository with the reasoning-effort topic, visit your repo's landing page and select "manage topics."