dsh-token-panel
Real-time token consumption HUD for DeepSeek Harness: a sleek tech-style panel showing live token usage, context pressure and cost estimates across sessions
12 results
Real-time token consumption HUD for DeepSeek Harness: a sleek tech-style panel showing live token usage, context pressure and cost estimates across sessions
Context Assembler DSH V0.99 — Context Assembler plugin for DeepSeek Harness (dsh): context compaction, cache-friendly topic-block management, water-pressure topic splitting, tool trace/rewrite, handoff planning and reality recall injection.
Unit conversion toolbox for DeepSeek Harness (dsh): length, mass, temperature, area, volume (incl. cooking), speed, time, data sizes (decimal MB vs binary MiB), data transfer rates (Mbps vs MB/s), acceleration (m/s², g-force), illumination (lux, foot-candle), pressure, energy, angle, frequency, power (mechanical/metric/electric horsepower), force, torque, typography (px/pt/em/rem), fuel economy (mpg ↔ L/100km) — zero runtime dependencies
右侧面板插件:展示当前会话 Token 用量(tokenUsage/contextPressure 投影)与工作区文件树(host HTTP 路由 + client 面板)
胎压建议
血压分类
压力锅
DSH plugin: universal unit conversion across length, area, volume, time, angle, speed, temperature, pressure, energy and power, with Chinese/English aliases. 单位换算 DSH 插件(长度/面积/体积/时间/角度/速度/温度/压力/热量/功率,支持中英文单位名)。
CWL — Context Window Lifecycle for DeepSeek Harness: structured context eviction (arXiv:2606.11213). Graduated, deterministic, zero-LLM eviction of exploration/action episodes when context pressure exceeds budget — no summarization lossiness, no hallucination, user messages never evicted.
DeepSeek Harness web UI plugin: floating API token usage, context pressure, reasoning-effort control, and cost estimation with official peak/off-peak pricing.
Health monitoring, pressure scoring, maintenance scheduling and action decisions for DeepSeek Harness. It never restarts anything itself.
DeepSeek Harness plugin: aggressive token optimization without affecting task quality. Trims tool results, manages context window pressure, optional LLM-summary compaction, stable prompt-cache layout.