75 results
DeepSeek Harness 会话费用统计插件:本会话成本、当日费用、历史记录与官方价格同步,支持多厂商多模型价格计费(内置 90+ 模型价格目录与自动匹配)、主流 Coding Plan 订阅额度查询与显示(9 家,含 SCNet Token Plan 本地 Credits 计量与火山方舟 Volcano Ark Coding Plan AK/SK 签名查询)、自定义 Provider 余额查询(可配任意 HTTP 端点)与余额进度条、峰谷计价时段显示与切换前弹窗/系统通知提醒(位置/提前量/类型可
Official, proxy-compatible, or locally accounted balance and session-cost readout for the DSH web GUI.
会话额度监控（官方 dsh bundle）：按 (provider, model) 价目表记账、额度耗尽拦截 + 输入框上方进度条 UI
DeepSeek Harness 的 Windows 桌面托盘启动器（纯 PowerShell，比桌面壳轻量）：无窗口运行 dsh web，托盘右键切换图标、开机自启、重启 Harness，并内置用量/费用仪表插件（dsh-plugin-usage-meter）的一键安装与更新。同时以 dsh 插件形式提供（dsh plugin add 后托盘随 Harness 自动启动）。
鲸鱼电表：DeepSeek Harness 用量与费用面板 —— 人民币账单、错峰计价、可分享的 AI 账单卡片 | Token usage & cost dashboard for DeepSeek Harness (DSH), with peak/off-peak pricing and shareable bill cards
Settings UI for DeepSeek Harness (DSH) to edit each model provider's request retryPolicy — mode (normal/always), maxRetries, retryableCodes and exponential-backoff parameters — written to settings.yaml and applied by dsh-llm-retry. 模型重试策略设置：在设置面板中可视化编辑各模型提供方的 API 请求失败重试策略。
Real-time token consumption HUD for DeepSeek Harness: a sleek tech-style panel showing live token usage, context pressure and cost estimates across sessions
CC Switch-style token consumption statistics for the DeepSeek Harness Web GUI: per-request usage log, real-consumption hero, request-time-bucketed trend chart, per-model peak/off-peak list pricing, per-project and per-model stats, and account balance.
DSH web plugin: a usage statistics panel with per-day token trend, GitHub-style activity heatmap, cache hit-rate curve and per-model breakdown, replicating the reasonix usage stats feature.
Professional Tavily-backed web search provider for DeepSeek Harness — full request parameters in a WebUI settings card, yaml-first priority, and API connectivity test
A Yogācāra (唯识) self-model plugin for DeepSeek Harness — eight consciousnesses, the 51 mental factors, a perfumed seed store, and a measurable self-grasping meter, rendered back to the agent as first-person state.
Floating notes for the dsh web GUI: keep commands, credentials, parameter values and other important snippets at hand while working, insert any note straight into the composer, and save any selected text (e.g. from an AI answer) as a note with one click
API 用量/费用/余额仪表 — DeepSeek Harness 网页插件：按钮式用量条实时报价并显示余额；面板含按模型堆叠柱状图（当日逐小时×峰谷档位、官方调价按生效区间计价）、官方账单（platform.deepseek.com 今日/本月真实扣费）、消耗段位与梁祖分享卡片、上下文压力预警 + 一键压缩、预算提醒与检查更新/一键更新，并持久化跨会话账本。
企业 AI 资源统一管理平台 —— 基于 DeepSeek Harness「一切皆插件」架构
为 DeepSeek Harness 打造的实时用量/费用/余额计量插件：在聊天输入框旁直接看到 tokens、花费与真实余额。
Per-model hourly token usage for the DeepSeek Harness: automatic recording with a Web GUI dashboard.
Write live provider model lists into DSH settings. Composer rings show 5h/7d plan windows or metered balance since the last top-up for the current session model.
Give DeepSeek Harness agents live control of your ComfyUI canvas (local or cloud): embed it as a split-screen tab, then read/edit/run workflows, debug errors, fetch output images, and batch-sweep parameters straight from the chat. Ships the ComfyUI-side bridge node.
DSH daily progress achievement plugin: evening plans for tomorrow, a todo-style checklist today, and a thermometer completion-rate widget in the composer dock
Native DSH Settings → Usage page for DeepSeek API: balance, official token and cost analysis, trends, context warnings, and live API activity.
DeepSeek Harness (dsh) 会话费用插件：显示当前会话累计 token 消耗与估算费用，价格从 DeepSeek 官方价格页动态获取。
Cost tracking plugin for the DeepSeek Harness Web GUI — snapshot-anchored per-turn pricing, account balance, and live cost estimates.
Enhanced subagent delegation tools for DeepSeek Harness with per-call cwd control: everything in dsh-subagent-tools plus a cwd parameter, shipped with the two in-process provider patches it requires.
DSH plugin: start/stop a local llama.cpp llama-server from the settings → plugins page — two model slots (A/B) with per-slot model-file selection, eight editable launch-parameter groups (text/vision × fast/long × 2 slots), and one shared DSH provider carrying both slots' models with four thinking-effort levels.