dsh-deepseek-usage
Run the following command in DeepSeek Harness:
dsh plugin install scientisbo/dsh-deepseek-usage
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install scientisbo/dsh-deepseek-usage in your terminal, restart dsh web, and the DeepSeek usage panel will appear at the bottom of the sidebar (source: https://github.com/scientisbo/dsh-deepseek-usage).
About this plugin
Making daily calls to the DeepSeek API means constantly wondering how much balance is left, how many tokens you have burned this month, and what your cache hit rate really looks like. The answers hide behind a login wall on platform.deepseek.com. dsh-deepseek-usage pulls all of that data straight into the DeepSeek Harness Web GUI sidebar, so you can glance at your account without ever switching browser tabs or leaving your workspace.
The floating panel displays today's and this month's token consumption, total spend, request counts, cache hit / miss / output breakdown, top models ranked by call volume, and a daily-usage heatmap. You can page through past months or drill into a single day's detail. The current balance sits right on the sidebar badge, and when the sidebar is collapsed the entry shrinks to a round icon that is always one click away.
Both server endpoints accept loopback-only GET requests from localhost. The platform session token is read from the local credentials file by default, or pasted directly into the panel where it lives exclusively in browser localStorage and is never written to disk. If you also hold a Codex (ChatGPT) subscription, pairing this plugin with dsh-codex-usage aggregates both platforms' quotas and balances into a single view, making it easy to balance your token budget across multiple model providers.
Use Cases
- Check DeepSeek account balance and monthly token spend from the Harness sidebar at a glance
- Page through historical usage trends and inspect daily heatmap breakdowns
- Pair with the Codex usage plugin to track multi-platform subscriptions and balances in one view
Best For
- Solo developers making high-frequency DeepSeek API calls
- Engineering teams managing multi-model costs within a single Harness workspace
- Technical leads prioritizing API spend transparency and cache efficiency
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