@francescoli/dsh-quota
AI Quota and Token Usage Monitor for DeepSeek Harness (DeepSeek, SiliconFlow, OpenRouter, Cursor, Codex, Antigravity, Copilot, Kimi, GLM, Qwen, OpenCode)
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AI Quota and Token Usage Monitor for DeepSeek Harness (DeepSeek, SiliconFlow, OpenRouter, Cursor, Codex, Antigravity, Copilot, Kimi, GLM, Qwen, OpenCode)
本地优先的 Harness 运行遥测插件:记录请求、模型、工具与插件生命周期指标(延迟、Token、成本、错误、缓存),默认不采集内容。Local-first Harness telemetry plugin for DeepSeek Harness. npm 包 dsh-local-telemetry(dsh-telemetry 名已被第三方占用)。
A crystal-structure visualization window for DeepSeek Harness (DSH): a 3D structure + Q-peak viewer and parameter panel, opened as a dsh-better-sidebar tab.
DSH Web 上下文窗口归因面板:通过 host token meter 按消息显示当前 surface 的 token 占用与摘要。Read-only per-message context-window attribution for DSH Web using the host token meter.
DeepSeek Harness dashboard: per-session statistics (tokens, timing, tool and skill calls) as a dedicated Statistics view tab. Compatible with dsh v0.1.2-alpha.1 ~ v0.1.3-alpha.2 (see README).
DeepSeek Harness 页面埋点与热力图分析插件:科学埋点采集(点击/聚焦/停留/滚动/曝光)、本地热力图与统计面板、预留 CLI 与外部上传接口、上传前用户授权弹窗。
Website cloning methodology skill for DeepSeek Harness: a real-source-first decision tree across static / React-Vue-Next / WebGL-Canvas sites, with CDP-driven recon, asset harvesting and pixel-diff audit scripts.
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.
Local-first self-observability for DeepSeek Harness: record real events, project them onto five observation axes (MEL/ROI/ARCTIC/TSA/RRI), store them in local SQLite, and watch MEL x RRI on a right-side panel.
Multi-provider LLM configuration for the DeepSeek Harness LLM seam: declare any number of providers, each with its own endpoint, credential and per-model parameters, across the OpenAI Chat, OpenAI Responses, Anthropic Messages and Google Gemini wire formats.
Capability metadata for hand-declared gateway models, resolved at runtime by bare model name (context window, output cap, reasoning levels, vision) — matched against the official DeepSeek route's catalog, the installed pi-ai catalog, opencode and models.dev, without writing to your settings.
在输入框下方与本轮对话尾部显示「本轮 / 本对话」消耗的人民币金额(只读 DSH 既有槽位与用量事件,不修改 DSH 任何源码与样式)
Interactive in-browser canvas for real-time preview of HTML, React components, SVGs, and diagrams with SSE hot-reload