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dsh-agent-pricing

Model Inference Updated 2026.08.25

Run the following command in DeepSeek Harness:

dsh plugin install Way2LOose4/dsh-agent-pricing

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

Run dsh plugin install Way2LOose4/dsh-agent-pricing in your terminal to install the plugin from https://github.com/Way2LOose4/dsh-agent-pricing, then restart DSH Web to activate it.

About this plugin

Long coding sessions in DeepSeek Harness can turn into a cost black box. You keep prompting without a clear sense of how many tokens have been consumed or what the session is actually costing. dsh-agent-pricing closes that visibility gap by keeping a live cost readout pinned right under the composer, refreshed every five seconds with a CNY / USD toggle, so you always have a rough handle on your balance burn while you work.

Beyond the at-a-glance price tag, the plugin surfaces a daily-usage overlay that breaks down input, output, and cache tokens, renders an hourly bar chart, and shows a per-model cost table. Two registered agent tools, price_estimate and session_cost, let the model itself quote a per-call estimate or report full-session spend mid-task, so you no longer have to ask it manually each time.

Pricing data stays aligned with the official DeepSeek page: on activation and every 30 minutes the plugin scrapes current rates plus the announced peak and off-peak tiers (effective 2026-08-16 16:00 UTC) and matches each call to the correct tier by its own timestamp. A graceful fallback chain means a network hiccup never breaks estimation. It is ideal for anyone running the DeepSeek Harness Web profile who cares about token spend and wants the agent to self-report its burn rate. No API key is required, session logs stay on your machine, and the only outbound requests go to the public pricing page and the repo's raw price file.

Use Cases

  • Check cumulative session cost and balance burn at a glance during long conversations
  • Have the agent self-report token spend and quote per-call estimates mid-task
  • Review daily per-model and hourly token usage with peak/off-peak tier status

Best For

  • Developers on the DeepSeek Harness Web profile who track token spend
  • Individual users who want cost visibility to avoid overage
  • Production teams that expect the agent to self-report its burn rate