dsh-balance-pie
Run the following command in DeepSeek Harness:
dsh plugin install f1yan9/dsh-balance-pie
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install f1yan9/dsh-balance-pie inside DeepSeek Harness to install it; the plugin repository is at https://github.com/f1yan9/dsh-balance-pie
About this plugin
When you juggle multiple DeepSeek API projects inside DeepSeek Harness, the question that sneaks up every day is simple: where did the budget actually go, and what is left right now? dsh-balance-pie drops a draggable floating pie chart into the DSH web UI that splits today's initial balance, per-project real spending, and remaining balance into colour-coded slices. Instead of estimating from token counts, it tracks actual balance decreases, so top-ups and refunds are handled automatically and the anchor survives restarts.
Beyond the live view, the plugin ships a GitHub-style monthly heatmap alongside a per-day spending table, both persisted locally with a 90-day JSONL log so you can scroll back without touching the billing page. When collapsed, the chart folds into a slim rail; expanded, it stretches into a horizontal bar—neither layout steals extra screen real estate. The settings hub lets you tune polling interval, per-model peak/off-peak prices, display currency (auto-converted via FX rates), and language, all applied live.
If you run several DeepSeek projects in DSH and would rather glance at a chart than open the billing console, this is a lightweight, dependency-free companion that puts the money picture right where you already work.
Use Cases
- Monitor per-project balance and spending in real time within DSH web UI
- Review historical consumption trends via a monthly heatmap
- Detect top-up events and jump to the official recharge page with one click
Best For
- Developers running multiple DeepSeek API projects under DSH
- Users who prefer a lightweight local balance tracker over repeated billing-page checks
- Ops personnel tracking DeepSeek peak and off-peak pricing and visualising cost distribution
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