thinking 24

Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models

为 DSH 的 pi-ai 第三方模型补充可配置的思考强度档位，并设置子 agent 默认思考强度。

DeepSeek Harness (DSH) plugin: edit any assistant message's reply text AND reasoning/thinking chain right in the conversation. A pencil action opens a list of every finalized reply; edits are saved as a surface replacement so the model only ever sees YOUR

Conversation tick rail and thinking-process fold for the DeepSeek Harness web GUI. Codex-style left rail by default; optional DeepSeek right rail in Settings. Click-to-scroll, eager history load, collapsed Think/tool rows.

DeepSeek Harness 插件：一键配置任意 OpenAI 兼容 API 并自动带思考模式，同时规避 developer 角色被第三方端点拒绝（content_filter）的问题。

DSH plugin: configure per-model reasoning effort levels for custom pi-ai providers in the Models settings page, with presets for GPT, Claude, Grok, GLM and MiMo models.

Claude 风格推理强度滑块插件：一体化液态玻璃面板、背景透明度与动效亮度双轴调校、无感平滑跟手、纯净工坊预设分享

DSH 的第三方模型补齐思考等级：在官方 Models 页每个模型行注入 Thinking 开关和强度/模态编辑器，在输入框模型菜单加供应商→模型选择器、视觉徽章与等级行，并带搜索、拖拽排序、供应商启用开关；以及按路由接管请求头与 user-agent。

dsh plugin: during long agent thinking, posts a hot-news or reminder message directly into the conversation stream.

dsh plugin: switch named model profiles (default model, think level, per-subagent models) interactively via the host ask-user flow — one implementation for the TUI and web surfaces, a clean fast-fail on headless

Live reasoning-token badge — Think(5.2K) — on every Think disclosure row of the DSH web UI, ticking while streaming · 在 web 界面 Think 行标题后实时显示思考内容 token 数的 DeepSeek Harness 插件

Per-turn thinking-token statistics for DeepSeek Harness, folded once by a durable session projection and read by the composer dock.

Model Ultra — DSH plugin for llm-pi-ai provider lifecycle: create/edit, custom headers, enable/disable with uninstall-restore safety, per-model thinking effort, OpenRouter provider routing, smart routing, composites, observability, and per-model connectiv

DeepSeek Harness web plugin: expand every thinking (Think) block and tool-call block by default, with a header toggle. · DSH 网页插件：默认展开全部思维链与工具调用块。

Per-model reasoning effort declarations for GPT, Gemini and OpenAI-compatible providers in DeepSeek Harness

Codex-style DeepSeek Harness model and reasoning selector with model-advertised effort levels, DSH-native themes, left-clipped radiation effects, and copy-ready reasoning-effort declaration guidance for custom-provider models.

DeepSeek Harness model selector upgrade: one-level model & reasoning-effort picker with 5 Liang tiers, custom model aliases, and peak/off-peak price countdown.

A minimal reasoning-effort ruler for the DSH composer: one hairline, a sliding marker, per-model memory, optimistic switching — and a streamlined model picker.

DSH plugin: read reasoning_efforts from OpenAI-compatible (vLLM) providers' /models listing and sync them into the llm-pi-ai settings section so the Web composer shows a per-model reasoning-effort picker.

DSH 思维链可视化：把模型的实时思考按 turn → step →（思考原文 + 工具调用）聚合成可读的右侧栏视图

Third-party provider reasoning-effort AND input-modality settings for DeepSeek Harness: thinking levels and image-input support declared per model, auto-adapted from a model knowledge base + wire-protocol inference, edited right inside the official Models

DeepSeek Harness 插件：为第三方模型提供商的模型自动匹配模型名称并补齐推理档位（reasoning effort），使思考强度选择器在官方模型选择器中可用；并在设置页提供「模型能力」页，可编辑每个已添加模型的上下文窗口/输出上限/图片多模态。Third-party DSH plugin that matches model ids against a built-in knowledge table, declares per-model reasoning tiers in the ll

DeepSeek Harness 推理强度与网关增强插件：自动为 llm-pi-ai 下所有模型补齐推理强度档位（off→max 全七档），并自动为 OpenCode Go 网关注入必需的 x-opencode-session 路由 Header，写入 settings 由 dsh 原生解析生效。

Auxiliary-call reasoning policy for dsh: the harness marks its own background calls (compaction checkpoints, session titles) with a `purpose` and names no reasoning level for them, so `dsh-llm` fills the gap from the route's declared default and they thin