deepseek-harness-control-center
Run the following command in DeepSeek Harness:
dsh plugin install feibi-mochi/deepseek-harness-control-center
Paste the following prompt into your AI chat to install this plugin:
Install this plugin in DeepSeek Harness by running `dsh plugin install feibi-mochi/deepseek-harness-control-center`. Source: https://github.com/feibi-mochi/deepseek-harness-control-center
About this plugin
When working with multiple conversations and model providers in DeepSeek Harness, account balance, per-conversation usage, background task status, and session actions are normally scattered across different places. DeepSeek Harness Control Center brings those signals right beside the composer, so you can instantly answer: how much official balance is left, what has this conversation used, and does anything need attention.
The plugin offers near-real-time monitoring of official DeepSeek balance with 60-second refreshes, session cost estimates locked to the price active at each usage event, and token breakdowns for input, cache reads, and output. It also includes a v4 peak/off-peak pricing clock, official pricing sync, third-party provider token totals, a 365-day local usage ledger, draggable and dockable panels, floating window mode, completion reminders, low-balance alerts, and multi-account switching with encrypted key storage.
It is designed for developers and heavy users who need to track API costs closely, switch between models or accounts frequently, and keep account and usage awareness inside the current workflow. The plugin is local-first by design: it never stores prompts or responses, avoids guessing third-party balances, and only enables privileged session actions when the host explicitly supports them, keeping boundaries clear and privacy intact.
Use Cases
- Monitor official DeepSeek balance and current conversation cost in real time
- Switch between accounts with encrypted API key management
- Set low-balance alerts and completion notifications
Best For
- Developers who need to track API costs closely
- Heavy users switching models and accounts frequently
- Users who value local data and privacy control
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