Usage & Billing

Cost tracking plugin for the DeepSeek Harness Web GUI — snapshot-anchored per-turn pricing, account balance, and live cost estimates.

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）

DSH web plugin: a real-pricing usage-cost line beside the official token stats — per-model cost breakdown with a verified price table. / DSH 费用统计行：在官方 Token 用量行旁按模型显示真实费用（按模型分别标注，价格均来自官方定价页）。

DSH plugin: visible cost/balance stats pill below the composer, with settings page and one-click reset. Fixed fork-level issues of dsh-cost-balance (slot id collision, missing ctx, invisible 5px bar).

The DeepSeek time-of-use meter for dsh: what this session cost, which tariff is running, when it flips, and the account balance behind it — one line under the composer.

Token usage statistics for DeepSeek Harness. Per-channel usage with balances and plan quotas for mainstream providers, CNY cost estimates, and daily charts — a settings-sidebar section.

Bottom-right 余额 badge for the DSH Web UI: on expand it fetches the currently-selected provider's OpenCode Go plan limits or DeepSeek prepaid balance, plus local token usage and pricing-based spend estimates.

Per-session cost & usage report cards: tokens, cache hits, duration.

Persistent provider-reported token usage totals with per-session, per-model, and daily activity statistics.

Live per-task token cost widget: peak/valley pricing windows, projected post-hike costs, sortable per-task cost table, multi-currency (COP/USD/CNY + ~40 more) with FX rates, and one-click streamed LLM explain of expensive tasks.

Composer cost chip: prices the current session DeepSeek API spend message-by-message with the official pricing table (incl. the 2026-08-17 peak/off-peak policy); hover for the breakdown, today (DSH) total and account balance. DeepSeek models only.

DeepSeek wallet balance at the sidebar foot: a credit-card icon with the amount tinted by remaining balance (green over ¥2, amber ¥0–2, red below), refreshed on mount, per turn-end, and on click; a signed delta floats up and fades on each balance change.

Vendor-based usage dashboard: per-provider token/cache/output KPI, a 53-week heatmap, trend chart with hourly "today" view, model drilldown, cost estimation, CSV export, and health cards (TTFT, generation speed, peak context, error rate).

GitHub-style daily token-usage heatmap on the new-session screen with a selectable calendar-year view, green/blue color schemes, and today / this-month / all-time totals.

Token usage heatmap for the Web UI: daily/weekly/cumulative views over a 12-month window with light/dark themes.

Multi-provider LLM API balances under the chat input, with presets for DeepSeek, OpenRouter and SiliconFlow.

Floating API-balance badge for DeepSeek Harness: live balance for DeepSeek, Moonshot, OpenAI and custom endpoints; draggable, resizable, frosted-glass look, with text color adapting to the content beneath.

Adds a "用量" section to the DSH Settings page that shows your MiniMax Token Plan usage (5h and weekly windows with reset countdowns), per-model breakdown, and video bonus credits; fetches `/v1/token_plan/remains` via a trusted plugin that holds the API key, auto-hides when no key is configured. MIT.

DeepSeek API quota panel collapsed into a left-edge handle for the Web UI: click to expand balance, official today's consumption (with platform token) and live conversation cost; fork of dsh-deepseek-quota.

Token usage and cost tracking with daily/session budget alerts and a usage_report tool.

DeepSeek account balance in the dsh web sidebar footer with live config hot reload and an editable Settings → Plugins card.

Per-turn and session-wide LLM cost metering: a dollar cost line under each message, a session cumulative total with hover breakdown, and an LLM+web price auto-refresh tool.

DeepSeek Harness plugin: query AI Monitor balance / usage from local SQLite — cost-aware agent, auto bookkeeping with the AI Monitor proxy.

DeepSeek usage monitor for DeepSeek Harness: account balance query and token usage summary as model-callable tools.