dsh-spend
Token usage, multi-dimensional statistics, auto-detected billing plans (Code/Token) and estimated spend for the dsh web UI
50 results
Token usage, multi-dimensional statistics, auto-detected billing plans (Code/Token) and estimated spend for the dsh web UI
DSH statistics tool: describe/percentile/frequency/correlation over explicit finite numeric arrays, zero-dependency, deterministic, numerically stable (Neumaier sum + Welford variance + linear-interpolation percentiles + Spearman midrank)
dsh local plugin: persist per-request model token usage (live hook + first-run history backfill + web settings stats page)
DSH web GUI plugin: token usage (input/output), cache hit/miss and cost statistics per conversation and in aggregate, with auto-switching DeepSeek pricing schemes
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 / per-provider breakdowns, replicating the reasonix usage stats feature.
API Key rotation pool for DeepSeek Harness: multiple keys per provider, weighted round-robin selection, automatic failover on 401/429/403, cooldown and recovery probing, usage statistics.
A DeepSeek Harness (DSH) agent preset for institutional multi-factor stock-selection research: methodology knowledge base + zero-dependency factor statistics.
DeepSeek Harness 消耗统计插件:设置页「消耗统计」展示 Token 用量 KPI、半年活跃贡献热力图、按模型堆叠柱状图与模型环形图(Host 投影聚合 + 只读重算会话日志,永不写回)
Cost dashboard for DeepSeek Harness - model spend, tokens and cache usage across all sessions (settings section). DSH 费用看板:汇总全部会话的模型输入/输出/缓存 token 用量并按价格表计费。
Token 用量记录与统计面板:记录 DSH 所有 LLM API 调用,支持秒级时间范围查询、多维度筛选、分组统计与 CSV 导出
Provider health, quota, account usage, and local model usage statistics for DeepSeek Harness
Community balance and spend statistics plugin for DeepSeek Harness Web, with session usage and optional auto-imported invoice summaries.
DSH web plugin: a usage statistics dashboard (basic info, activity heatmap, daily token trend, model usage donut) with provider/model drill-down, following the DSH theme system.
DSH plugin: token usage & cost statistics per model / date / session with history backfill and CSV/JSON export
Token usage statistics for DeepSeek Harness: last-7/30-day per-model daily and total consumption (bar chart + donut), plus a GitHub-style contributions heatmap over the last year.
Token usage statistics and a 53-week heatmap for DeepSeek Harness Web settings
Token usage heatmap for the dsh web GUI: GitHub-style daily / weekly / cumulative token statistics with hover details, mounted via the official plugin mechanism (dsh plugin add) — no dsh source changes.
LLM cost tracker for the DeepSeek Harness: bills every model call from provider token usage (cache hit/miss included), shows per-call cost in the conversation stats line, a per-session summary, and a CC-Switch-style usage statistics dashboard
Token usage statistics for the DeepSeek Harness Web UI: captures per-request LLM usage from the llm/stream waterfall, persists it, and renders animated charts grouped by API (provider), model, and date.
Adds opt-in image-capable sibling routes for text-only providers and converts image blocks into budgeted, locally enhanced OCR, color-statistics, pixel-scan, and metadata evidence before delegation.
DSH usage statistics dashboard: token / cost / duration / session aggregation with trend, heatmap and calendar views (settings.section "数据看板").
DSH web plugin: token usage statistics in the sidebar footer — today badge (wide/rail) opening a detail panel with per-model/provider breakdown, session list, daily trend curve and heatmap (host scans session logs, serves /usage-stats/api/snapshot)
Per-process tool-call statistics for DeepSeek Harness (not token usage): adds a tool_stats tool reporting call counts, error counts, and average durations.