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dsh-deepseek-peak-indicator preview

dsh-deepseek-peak-indicator

Client Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install DDA-DIGITAL/dsh-deepseek-peak-indicator

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install DDA-DIGITAL/dsh-deepseek-peak-indicator in your terminal and restart the web profile; the source lives at https://github.com/DDA-DIGITAL/dsh-deepseek-peak-indicator .

About this plugin

DeepSeek charges double during weekday peak windows, and many developers only realize they have been running requests at peak rate when the month-end bill arrives. dsh-deepseek-peak-indicator closes that information gap with a small green or red dot sitting just left of the model-select menu in the composer bar, so you can tell the current pricing tier at a glance.

Hovering the dot reveals the current tier, the next transition time in your local timezone, and the official schedule summary. Clicking it opens a dashboard panel with a live per-second countdown, a 24-hour red-green gradient day track marked with a now indicator and summary line, and stat tiles showing elapsed time in the current mode plus the next switching point in both relative and absolute terms. The panel flips automatically at window boundaries, respects prefers-reduced-motion, and all logic runs from the local clock with zero network calls or server components.

Ideal for individual developers and engineering teams who call DeepSeek APIs regularly and care about cost and latency, removing the need to cross-reference documentation or set calendar reminders for every pricing window.

Screenshots

Use Cases

  • Glance at the dot in the composer bar to confirm peak vs off-peak before firing off requests
  • Open the dashboard for a live countdown and a 24-hour peak/off-peak track to schedule batch jobs
  • Hover the dot to check when the next transition hits and decide whether to run now or wait

Best For

  • Solo developers who call the DeepSeek API daily and track costs
  • Engineering teams that schedule batch jobs around billing windows
  • Web users who want zero-dependency, offline peak/off-peak awareness