dsh-tidewatch
Run the following command in DeepSeek Harness:
dsh plugin install lide4144/dsh-tidewatch
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install lide4144/dsh-tidewatch inside DeepSeek Harness to install this plugin; full source is at https://github.com/lide4144/dsh-tidewatch
About this plugin
DeepSeek API charges full price during weekday peaks (09:00-12:00 and 14:00-18:00 Beijing time) and half price for every other window. Knowing which window you are in right now is the single easiest lever for trimming inference costs, yet it usually means pulling up documentation or doing mental math. dsh-tidewatch pins a small floating card to the top-right corner of DeepSeek Harness so the answer is always in plain sight - no extra tabs, no commands to run.
The card surfaces three things at a glance: a live status dot that resolves the current window against the official peak/off-peak rules; a Beijing clock with a per-second countdown to the next transition; and an account-balance panel that quietly calls the DeepSeek balance endpoint using whatever credential DSH has already configured for the active provider, refreshing every five minutes. The credential never reaches the browser as a raw value - it travels as an environment variable on the host side and only the numeric balance and a source label come back to the UI. The card is draggable and collapsible, so it stays out of the way the moment you do not need it.
If you already run DeepSeek models through DeepSeek Harness and want a zero-overhead way to schedule heavier workloads into the half-price window, this is a dashboard that costs nothing to add. It touches no model configuration and no routing - it just adds a small, persistent data point to the corner of the screen. Pin it up, glance when convenient, collapse it when you are done.
Use Cases
- Scheduling batch inference by checking in real time whether the window is off-peak
- Glancing at DeepSeek account balance and credit without opening another tab
- Getting a live countdown to the next peak-to-off-peak transition while working in Harness
Best For
- Developers calling DeepSeek models daily and sensitive to per-token cost
- Users who batch heavy inference workloads and want to land them in the half-price window
- Technical staff who live in DeepSeek Harness and prefer zero-config, always-on status panels
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