الانتقال إلى المحتوى الرئيسي

​
نظرة عامة

يعيد هذا الـ endpoint تفاصيل الاستخدام على مستوى مفتاح API من دون كشف بيانات التوجيه الفيزيائي.

​
معلمات الاستعلام

المعاملالنوعالقيم الافتراضية / القيودالوصف
pageintegerالافتراضي 1، الحد الأدنى 1رقم الصفحة بدءًا من 1
limitintegerالافتراضي 50، الحد الأدنى 1، الحد الأقصى 100حجم الصفحة
modelstringأقصى طول 100اسم النموذج المطلوب
modelVendorstringأقصى طول 100مزود النموذج العام
sceneenum-chat, image, audio, video, embedding, rerank, translation, music, 3d, realtime
accessChannelenum-platform أو byok
startDatestring-حد سفلي شامل؛ يقبل RFC3339 مع منطقة زمنية أو YYYY-MM-DD
endDatestring-حد علوي شامل؛ يقبل RFC3339 مع منطقة زمنية أو YYYY-MM-DD
إذا تم إرسال startDate و endDate معًا، فيجب أن يكون startDate أسبق من أو مساويًا لـ endDate.

​
ملاحظات

  • هذه الاستجابة تدعم ترقيم الصفحات.
  • لا تتضمن الاستجابة إلا حقول الفوترة والتقارير العامة.
  • قد تتضمن كل سطر usage أيضاً الحقل billing_transaction_id بعد اكتمال تسوية الطلب الأساسي. استخدمه مع request_id للمطابقة على مستوى الطلب.
  • يتم إخفاء بيانات التوجيه الداخلي والقنوات الفيزيائية عمدًا.

​
مثال

curl "https://api.tokenlab.sh/v1/management/api-keys/key_abc123def456/usage?page=1&limit=20&scene=video&accessChannel=platform&startDate=2026-03-01&endDate=2026-03-31" \
  -H "Authorization: Bearer mt-your-management-token"

​
الطلب / الاستجابة

استخدم لوحة OpenAPI التفاعلية أعلاه للاطلاع على المخطط الدقيق وحقول الاستجابة.

​
Response example

{
  "api_key": {
    "id": "key_abc123def456",
    "name": "Backend Worker",
    "key_prefix": "sk-live...",
    "status": "active",
    "limit_amount": 500,
    "limit_amount_decimal": "500",
    "used_amount": 148.25,
    "used_amount_decimal": "148.25",
    "models": [
      "gpt-5-mini",
      "claude-3-7-sonnet"
    ],
    "expires_at": "2026-12-31T23:59:59.000Z",
    "last_used_at": "2026-07-08T03:12:45.000Z",
    "created_at": "2026-07-01T10:00:00.000Z"
  },
  "items": [
    {
      "request_id": "req_abc123",
      "billing_transaction_id": "billtxn_abc123",
      "model": "gpt-5-mini",
      "logical_model": "gpt-5-mini",
      "model_vendor": "OpenAI",
      "scene": "chat",
      "access_channel": "platform",
      "usage_unit": "per_token",
      "usage_quantity": 1500,
      "usage_quantity_decimal": "1500",
      "prompt_tokens": 1000,
      "completion_tokens": 500,
      "total_tokens": 1500,
      "cache_read_tokens": 0,
      "cache_write_tokens": 0,
      "cache_write_tokens_5m": 0,
      "cache_write_tokens_1h": 0,
      "cost": 0.0012,
      "cost_decimal": "0.0012",
      "created_at": "2026-07-08T03:15:00.000Z"
    }
  ],
  "pagination": {
    "page": 1,
    "limit": 20,
    "total": 1,
    "totalPages": 1
  },
  "summary": {
    "total_requests": 1,
    "total_cost": 0.0012,
    "total_cost_decimal": "0.0012",
    "total_prompt_tokens": 1000,
    "total_completion_tokens": 500,
    "total_tokens": 1500,
    "usage_unit_breakdown": [
      {
        "usage_unit": "per_token",
        "usage_quantity": 1500
      }
    ]
  },
  "breakdowns": {
    "by_model": [
      {
        "model": "gpt-5-mini",
        "logical_model": "gpt-5-mini",
        "model_vendor": "OpenAI",
        "requests": 1,
        "cost": 0.0012,
        "cost_decimal": "0.0012",
        "usage_quantity": 1500,
        "usage_quantity_decimal": "1500"
      }
    ],
    "by_logical_model": [
      {
        "model": "gpt-5-mini",
        "logical_model": "gpt-5-mini",
        "model_vendor": "OpenAI",
        "requests": 1,
        "cost": 0.0012,
        "cost_decimal": "0.0012",
        "usage_quantity": 1500,
        "usage_quantity_decimal": "1500"
      }
    ],
    "by_model_vendor": [
      {
        "model_vendor": "OpenAI",
        "requests": 1,
        "cost": 0.0012
      }
    ],
    "by_scene": [
      {
        "scene": "chat",
        "requests": 1,
        "cost": 0.0012,
        "cost_decimal": "0.0012"
      }
    ],
    "by_access_channel": [
      {
        "access_channel": "platform",
        "requests": 1,
        "cost": 0.0012
      }
    ],
    "daily_cost": [
      {
        "date": "2026-07-08T00:00:00.000Z",
        "cost": 0.0012,
        "cost_decimal": "0.0012"
      }
    ]
  }
}

​
Important fields

​
api_key
object
API key summary using the same fields as list/create/update responses.
​
items
array
Paginated usage rows.
​
pagination
object
Pagination metadata with page, limit, total, and totalPages.
​
summary
object
Aggregated totals for the selected filters.
​
breakdowns
object
Aggregated breakdowns for the selected filters.
​
items[].request_id
string | null
Public request identifier for support and reconciliation.
​
items[].billing_transaction_id
string | null
Settled billing transaction id when available.
​
items[].model
string
Requested public model name.
​
items[].logical_model
string
Logical public model used for reporting.
​
items[].model_vendor
string | null
Public model vendor.
​
items[].scene
string | null
Public request scene.
​
items[].access_channel
string
platform or byok.
​
items[].usage_unit
string
Billing usage unit, such as per_token.
​
items[].usage_quantity
number
Usage quantity as a JSON number for display.
​
items[].usage_quantity_decimal
string
Exact usage quantity as a decimal string.
​
items[].prompt_tokens
number
Prompt token count.
​
items[].completion_tokens
number
Completion token count.
​
items[].total_tokens
number
Total token count.
​
items[].cache_read_tokens
number
Cache read token count.
​
items[].cache_write_tokens
number
Total cache write token count.
​
items[].cache_write_tokens_5m
number
Five-minute cache write token count.
​
items[].cache_write_tokens_1h
number
One-hour cache write token count.
​
items[].cost
number
Cost in USD as a JSON number for display.
​
items[].cost_decimal
string
Exact cost in USD as a decimal string.
​
items[].created_at
string
ISO usage row timestamp.
​
summary.total_requests
number
Total request count.
​
summary.total_cost
number
Total cost in USD as a JSON number for display.
​
summary.total_cost_decimal
string
Exact total cost in USD as a decimal string.
​
summary.total_prompt_tokens
number
Total prompt tokens.
​
summary.total_completion_tokens
number
Total completion tokens.
​
summary.total_tokens
number
Total tokens.
​
summary.usage_unit_breakdown
array
Usage quantity grouped by usage unit.
​
breakdowns.by_model
array
Breakdown by requested public model.
​
breakdowns.by_logical_model
array
Breakdown by logical public model.
​
breakdowns.by_model_vendor
array
Breakdown by public model vendor.
​
breakdowns.by_scene
array
Breakdown by public request scene.
​
breakdowns.by_access_channel
array
Breakdown by platform or byok access channel.
​
breakdowns.daily_cost
array
Daily cost trend.