ログクエリ API

{
  "success": true,
  "message": "",
  "data": [
    {
      "request_id": "2026080114481936471351696e93ae3FTV8WKfk",
      "created_at": 1785595715,
      "type": 2,
      "content": "Fixed model price 0.015, group ratio 1",
      "username": "your-account",
      "token_name": "production-primary",
      "token_group": "default",
      "model_name": "gpt-5.6",
      "quota": 7500,
      "prompt_tokens": 1000,
      "completion_tokens": 0,
      "duration_for_view": 16,
      "is_stream": false,
      "error_code": "",
      "other": "{\"billing_type\":\"by_count\",\"request_path\":\"/v1/images/generations\",\"group_ratio\":1,\"model_ratio\":1,\"usage\":{}}"
    }
  ]
}

{
  "success": false,
  "message": "You are not authorized to perform this operation. The access token is invalid."
}

export APIYI_SYS_TOKEN='YOUR_SYSTEM_TOKEN'

# Last hour only. Always pass start/end — a query without a time window will likely time out
END=$(date +%s)
START=$((END - 3600))

curl --compressed -s "https://api.apiyi.com/api/log/self?p=0&pageSize=1000&type=2&start_timestamp=$START&end_timestamp=$END" \
  -H "Authorization: $APIYI_SYS_TOKEN" \
  -H 'Accept: application/json' | jq '.data[] | {created_at, model_name, quota, request_id}'

"""Daily incremental sync of APIYI call logs. Run once a day, e.g. crontab: 30 2 * * *"""
import json
import os
import sqlite3
import time

import requests

BASE = "https://api.apiyi.com"
TOKEN = os.environ["APIYI_SYS_TOKEN"]
QUOTA_PER_USD = 500_000

DB_PATH = "apiyi_logs.db"
WINDOW = 3600       # width of one time window in seconds; 1 hour suits most accounts
PAGE_SIZE = 1000    # records per page, server max is 5000. NOTE: the param is camelCase
MAX_PAGES = 50      # max pages per window; beyond this the window is split in half
SLEEP = 1.0         # gap between pages — call serially, never concurrently
FIRST_RUN_DAYS = 7  # how far back to backfill on the very first run

HEADERS = {"Authorization": TOKEN, "Accept": "application/json"}


def open_db():
    con = sqlite3.connect(DB_PATH)
    con.execute("""
        CREATE TABLE IF NOT EXISTS logs (
            request_id  TEXT PRIMARY KEY,
            created_at  INTEGER,
            model_name  TEXT,
            token_name  TEXT,
            quota       INTEGER,
            error_code  TEXT,
            raw         TEXT
        )""")
    con.execute("CREATE INDEX IF NOT EXISTS idx_created ON logs(created_at)")
    con.commit()
    return con


def get_page(start, end, page):
    resp = requests.get(
        f"{BASE}/api/log/self",
        headers=HEADERS,
        params={
            "p": page,
            "pageSize": PAGE_SIZE,  # camelCase! page_size is ignored and you get 10 per page
            "type": 2,              # 2 = consumption, the only type used for reconciliation
            "start_timestamp": start,
            "end_timestamp": end,
        },
        timeout=60,                 # the server-side query limit is also 60 seconds
    )
    resp.raise_for_status()
    return resp.json().get("data") or []


def fetch_window(start, end):
    """Fetch [start, end]. Splits the window in half if pagination gets too deep."""
    rows, seen, page = [], set(), 0
    while page < MAX_PAGES:
        data = get_page(start, end, page)
        if not data:
            return rows                      # empty array means this window is done
        fresh = [r for r in data if r.get("request_id") not in seen]
        if not fresh:
            return rows                      # whole page was duplicates, defensive exit
        seen.update(r["request_id"] for r in fresh)
        rows.extend(fresh)
        page += 1
        time.sleep(SLEEP)

    if end - start <= 1:
        return rows
    mid = (start + end) // 2                 # too much volume here: fetch each half separately
    return fetch_window(start, mid) + fetch_window(mid + 1, end)


def sync():
    con = open_db()
    row = con.execute("SELECT MAX(created_at) FROM logs").fetchone()
    cursor = (row[0] + 1) if row and row[0] else int(time.time()) - FIRST_RUN_DAYS * 86400
    now = int(time.time())

    total = 0
    while cursor < now:
        end = min(cursor + WINDOW, now)
        rows = fetch_window(cursor, end)
        con.executemany(
            "INSERT OR IGNORE INTO logs VALUES (?,?,?,?,?,?,?)",
            [(r.get("request_id"), r.get("created_at"), r.get("model_name"),
              r.get("token_name"), r.get("quota"), r.get("error_code"),
              json.dumps(r, ensure_ascii=False)) for r in rows])
        con.commit()
        total += len(rows)
        cursor = end + 1
    print(f"Synced {total} records into {DB_PATH}")
    return con


def report(con, days=1):
    since = int(time.time()) - days * 86400
    print(f"{'MODEL':32s} {'CALLS':>6s} {'SPEND(USD)':>12s}")
    rows = con.execute(
        "SELECT model_name, COUNT(*), SUM(quota) FROM logs "
        "WHERE created_at >= ? GROUP BY model_name ORDER BY SUM(quota) DESC",
        (since,)).fetchall()
    for model, cnt, quota in rows:
        print(f"{model or '(none)':32s} {cnt:6d} {(quota or 0) / QUOTA_PER_USD:12.4f}")
    total = sum((q or 0) for _, _, q in rows)
    print(f"\nTotal ${total / QUOTA_PER_USD:.4f} USD")


if __name__ == "__main__":
    report(sync(), days=1)

Synced 570 records into apiyi_logs.db
MODEL                             CALLS   SPEND(USD)
gpt-5.6                             128       2.3850
gemini-3-pro-image                   30       1.3500
deepseek-chat                       412       0.0148

Total $3.7348 USD

const BASE = "https://api.apiyi.com";
const TOKEN = process.env.APIYI_SYS_TOKEN;
const QUOTA_PER_USD = 500_000;
const PAGE_SIZE = 1000;      // server max is 5000
const MAX_PAGES = 50;
const sleep = (ms) => new Promise((r) => setTimeout(r, ms));

async function getPage(start, end, page) {
  const qs = new URLSearchParams({
    p: String(page),
    pageSize: String(PAGE_SIZE), // camelCase! page_size is ignored and you get 10 per page
    type: "2",                  // 2 = consumption
    start_timestamp: String(start),
    end_timestamp: String(end),
  });
  const resp = await fetch(`${BASE}/api/log/self?${qs}`, {
    headers: { Authorization: TOKEN, Accept: "application/json" },
  });
  if (!resp.ok) throw new Error(`HTTP ${resp.status}`);
  const { data } = await resp.json();
  return data || [];
}

// Fetch [start, end]; split the window in half if pagination gets too deep
async function fetchWindow(start, end) {
  const rows = [];
  const seen = new Set();
  for (let page = 0; page < MAX_PAGES; page += 1) {
    const data = await getPage(start, end, page);
    if (data.length === 0) return rows;
    const fresh = data.filter((r) => !seen.has(r.request_id));
    if (fresh.length === 0) return rows;
    fresh.forEach((r) => seen.add(r.request_id));
    rows.push(...fresh);
    await sleep(1000);          // serial, never concurrent
  }
  if (end - start <= 1) return rows;
  const mid = Math.floor((start + end) / 2);
  return [...(await fetchWindow(start, mid)), ...(await fetchWindow(mid + 1, end))];
}

const end = Math.floor(Date.now() / 1000);
const logs = await fetchWindow(end - 3600, end);   // last hour
const total = logs.reduce((sum, r) => sum + (r.quota || 0), 0);
console.log(`${logs.length} calls, $${(total / QUOTA_PER_USD).toFixed(4)} USD`);

SELECT created_at, model_name, error_code, request_id
FROM logs
WHERE error_code != '' AND created_at >= strftime('%s', 'now', '-1 day')
ORDER BY created_at DESC;