deepseek-usage

DeepSeek API Usage Query

⚠️ Security Notice This skill requires DeepSeek login credentials to work. Credentials are stored only in local environment variables. Minis does not upload them to any server. If you do not trust this method, delete this skill or do not set any credentials.

Prerequisite Configuration (first use only)

1. Set Environment Variables

Add the following two variables in Minis Settings → Environment Variables:

Variable Name	Description	Example Value
DEEPSEEK_EMAIL	Your DeepSeek platform login email address	[email protected]
DEEPSEEK_PASSWORD	Your DeepSeek platform login password	your_password_here

🔗 Click here to open the environment variable settings

If your account uses a third-party login such as Google or WeChat, you cannot use this skill.

2. Verify the Configuration

[ -n "$DEEPSEEK_EMAIL" ] && [ -n "$DEEPSEEK_PASSWORD" ] && echo "Configured" || echo "Not configured"

Query Process (requires only 2 tool calls)

Step 1: Navigate and Ensure Login (1 tool call)

Action:
  - set_user_agent: desktop_chrome
  - navigate: https://platform.deepseek.com/usage
  - If not logged in, fill DEEPSEEK_EMAIL / DEEPSEEK_PASSWORD from environment variables and submit the login form
  - wait_for_dom_stable

Step 2: Run the complete JS script in one step (1 execute_js)

The following JS script completes all logic: get token → download ZIP → unzip → parse CSV → output.

Run the entire JS script as the argument to execute_js --script in a single execution.

(async () => {
  // === Get summary text ===
  // Extract with get_readable (done outside execute_js)

  // === Get Token ===
  const token = JSON.parse(localStorage.getItem('userToken')).value;
  if (!token) return JSON.stringify({ error: 'no_token' });

  // === Download zip ===
  const resp = await fetch('https://platform.deepseek.com/api/v0/usage/export?month=5&year=2026', {
    headers: { 'Authorization': 'Bearer ' + token }
  });
  const blob = await resp.blob();

  // === Load JSZip ===
  const script = document.createElement('script');
  script.src = 'https://cdnjs.cloudflare.com/ajax/libs/jszip/3.10.1/jszip.min.js';
  await new Promise(r => { script.onload = r; document.head.appendChild(script); });

  // === Unzip ===
  const zip = await JSZip.loadAsync(blob);
  const costText = await zip.file('cost-2026-5.csv').async('text');
  const amountText = await zip.file('amount-2026-5.csv').async('text');

  // === Parse cost (fees) ===
  // ⚠️ Header: user_id, utc_date, model, wallet_type, cost, currency
  const costLines = costText.trim().split('\n').slice(1);
  const modelCost = {};
  let totalCost = 0;
  for (const line of costLines) {
    const p = line.split(',');
    const model = p[2], cost = parseFloat(p[4]) || 0;
    modelCost[model] = (modelCost[model] || 0) + cost;
    totalCost += cost;
  }

  // === Parse amount (usage, filter by date as needed) ===
  // ⚠️ Header: user_id, utc_date, model, api_key_name, api_key(sensitive!), type, price, amount
  // ⚠️ Security warning: Column 5 is the plaintext api_key. Do not print entire lines! You must use index references.
  const allLines = amountText.trim().split('\n').slice(1);

  // Filtering rule: if the user asks about today's usage, filter to today; if the user asks about this month's usage, use the full month
  // Default is today. For today's usage, uncomment the following line:
  // const targetDate = 'current date in YYYY-MM-DD format';
  // const filteredLines = targetDate ? allLines.filter(l => l.split(',')[1] === targetDate) : allLines;
  const filteredLines = allLines; // Default: full month

  const models = {};
  for (const line of filteredLines) {
    const p = line.split(',');
    const model = p[2], type = p[5], amount = parseInt(p[7]) || 0;
    if (!models[model]) models[model] = { requests: 0, cache_hit: 0, cache_miss: 0, output: 0 };
    if (type === 'request_count') models[model].requests += amount;
    else if (type === 'input_cache_hit_tokens') models[model].cache_hit += amount;
    else if (type === 'input_cache_miss_tokens') models[model].cache_miss += amount;
    else if (type === 'output_tokens') models[model].output += amount;
  }

  // === Summary output ===
  let result = '';
  let gr = 0, go = 0, gh = 0, gm = 0;

  for (const [m, d] of Object.entries(models)) {
    const ti = d.cache_hit + d.cache_miss;
    const hr = ti > 0 ? (d.cache_hit / ti * 100).toFixed(1) : '0.0';
    const co = modelCost[m] || 0;
    result += `${m}|${d.requests}|${d.output}|${d.cache_hit}|${d.cache_miss}|${ti}|${hr}|${co.toFixed(2)}\n`;
    gr += d.requests; go += d.output; gh += d.cache_hit; gm += d.cache_miss;
  }

  const ti = gh + gm;
  const hr = ti > 0 ? (gh / ti * 100).toFixed(1) : '0.0';
  result += `TOTAL|${gr}|${go}|${gh}|${gm}|${ti}|${hr}|${totalCost.toFixed(2)}`;

  return result;
})();