dsh-plugin-llm-balance
Run the following command in DeepSeek Harness:
dsh plugin install FengHuoLinShan/dsh-plugin-llm-balance
Paste the following prompt into your AI chat to install this plugin:
To install this plugin in DeepSeek Harness, run the command: dsh plugin install FengHuoLinShan/dsh-plugin-llm-balance. Full source code address: https://github.com/FengHuoLinShan/dsh-plugin-llm-balance.
About this plugin
When using DeepSeek Harness (DSH) to manage multiple LLM providers, users often struggle with monitoring balances and quotas, frequently switching interfaces to check usage across services. The dsh-plugin-llm-balance plugin addresses this by providing a persistent floating card in the Web GUI that automatically tracks and displays the balance, quota remaining, and reset times for up to three recently used providers, making everything visible at a glance.
Its core capabilities focus on automation and security: intelligently following the most recently used providers, supporting both monetary balance and quota displays, and offering a unique DeepSeek peak/off-peak electricity pricing badge to help users optimize usage periods. Additionally, it auto-discovers configurations, eliminating manual setup, and maintains lightweight interactions like dragging, click-to-refresh, and smart polling. Crucially, all credentials are handled securely on the server side, never exposed to the browser, ensuring data privacy.
This plugin is ideal for the DSH user community, especially developers, data scientists, or AI project managers who need to manage multiple LLM services simultaneously (e.g., DeepSeek, Moonshot, OpenAI Codex). It simplifies balance monitoring, helping users save time, avoid overages, and make more informed usage decisions.
Screenshots
Use Cases
- Real-time viewing of balance and quota usage across multiple LLM providers.
- Optimizing API call periods using the DeepSeek peak/off-peak electricity pricing badge.
- Dragging the floating card in the web interface for quick refresh of monitoring data.
Best For
- Developers managing costs across multiple LLM services.
- Data scientists or team leads monitoring AI project quotas.
- AI enthusiasts using DSH who want simplified balance viewing.
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