117 results
DSH plugin: fixes compaction failure on local qwen3.8-27b gateways — xhigh thinking burns the entire output token budget, so thinking is off for compaction-only, with the model's non-thinking sampling parameters
DeepSeek Harness relay plugin for reasoning-effort autofill, /models sync, and a capability-aware Fast toggle.
Configure the default provider, model and reasoning effort for new subagents from the Web settings page; optionally apply changes to existing idle subagents. · DSH 插件：在设置页可视化配置 subagent 默认的提供商、模型与思考等级，新创建的 subagent 立即生效，可选的让空闲 subagent 也跟随新设置。
Enhanced model picker for the dsh web GUI: search-first model popup + separate reasoning-effort selector, both split on a two-zone trigger button
Task contracts, approval gates, checkpoints, verification evidence, and best-effort rollback for DeepSeek Harness
在 Settings 面板中为自定义 pi-ai 模型编辑推理等级（reasoningEfforts），支持多选、拖拽、复制粘贴，自动保存。
Ranked subagent delegation for DeepSeek Harness: role-based model routing with failover, per-route reasoning effort, fork delegation, transparent model labels, and a visual route editor in Settings.
DSH 自定义模型思考等级管理、渠道重试策略与偏好记忆插件：原生设计语言、全档位思考配置、渠道级重试控制与无感隔离式跨会话偏好记忆。
Sliding-rheostat theme: model + reasoning-effort driven accent, glow and gear dock for the dsh web GUI
DeepSeek Harness 统一推理等级插件：一个 llm-reasoning 设置项动态配置 DSH 所有模型的默认推理等级（思考等级）——自动为手写声明的模型补齐推理能力、按路由设置默认等级（仅当全部模型支持）、同步 DeepSeek 官方路由，改设置即生效。
第三方模型思考努力度配置（DeepSeek Harness 插件）：在设置页为模型声明 reasoningEfforts 档位、路由默认档位与 Anthropic token 预算，写入 llm-pi-ai 命名空间；档位调节复用原生模型框 Effort 面板。
DSH plugin: auto-detect and configure model capabilities (reasoningEfforts + input modalities) for llm-pi-ai. Successor to dsh-reasoning-efforts.
DeepSeek Harness plugin: the Models+ settings page — a fully plugin-owned model/provider UI with per-model extension fields (reasoning efforts, input modalities, compat flags) and models.dev metadata prefill
OpenAI-completions-compatible adapter for custom gateways (vLLM / LM Studio / self-hosted proxies): always role:"system", enable_thinking / chat_template_kwargs / reasoning_effort driven by the llm-pi-ai model config, and a </think> split on the receive side — no pi-ai behavior guessing.
Model and reasoning-effort switcher: composer seat with an Off/Max effort slider over session.models / session.selectModel
DeepSeek 中转站（OpenAI 兼容网关）思考强度适配插件：让 UI 出现 Off/Low/High/Max 推理等级选项，并按中转站格式发送 reasoning_effort / thinking
Personal usage analytics & activity dashboard for the DeepSeek Harness (dsh) web GUI: token totals, session activity, GitHub-style contribution heatmap, model / reasoning-effort / tool / skill / plugin rankings, streaks and insights. Aggregates real session events through ctx.sessionPersistence; no dsh core changes, no prompt content leaves the machine.
DSH plugin: floating HUD chat bar with live transcript, workspace/session/model/reasoning-effort switching, and Picture-in-Picture detach mode. Official bundle plugin.
Notched reasoning-effort slider grouped with the model picker for DeepSeek Harness — native DSH styling, adaptive theming (light/dark + theme plugins), i18n (en/fr/zh), realtime drag. 100% modular, zero core changes.
DeepSeek Harness 的增强模型选择器：单层菜单（搜索 + 分组）+ 底部内联推理强度（Effort）滑杆。
Alibaba Bailian (DashScope) model catalog preset + auto-adapter for DeepSeek Harness — reasoning effort levels, thinking budgets, context windows, auto-adaptation of existing Bailian routes, a configurable context ceiling
Per-model reasoning-effort editor with embedded slider for DeepSeek Harness custom providers.
DeepSeek Harness plugin to audit and correct llm-pi-ai model capability declarations by probing the endpoint itself: out-of-range maxTokens, contextWindow, reasoning levels, image input.
DeepSeek Harness web UI plugin: floating API token usage, context pressure, reasoning-effort control, and cost estimation with official peak/off-peak pricing.