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GET
/
api
/
v1
/
llm
/
usage
/
files
Python (SDK)
from meetkai_mka1 import SDK


with SDK(
    bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:

    res = sdk.llm.usage.files(start_time=1704067200, end_time=1704153600, bucket_width="1d", limit=30, page="cursor_abc123", user_ids=[
        "user_123",
        "user_456",
    ], external_user_ids=[
        "sub_123",
    ], org_ids=[
        "org_123",
    ], group_by=[
        "user_id",
    ])

    # Handle response
    print(res)
{
  "object": "page",
  "data": [
    {
      "object": "bucket",
      "start_time": 1704067200,
      "end_time": 1704153600,
      "results": [
        {
          "object": "organization.usage.files.result",
          "usage_bytes": 2048000,
          "num_files": 4,
          "user_id": "user_123",
          "api_key_id": null,
          "org_id": null
        }
      ]
    }
  ],
  "has_more": false,
  "next_page": null
}

Authorizations

​
Authorization
string
header
required

Gateway auth: send Authorization: Bearer <mka1-api-key>. For multi-user server-side integrations, you can also send X-On-Behalf-Of: <external-user-id>.

Headers

​
X-On-Behalf-Of
string

Optional external end-user identifier forwarded by the API gateway.

Query Parameters

​
start_time
integer
required

Start time (Unix seconds), inclusive

Required range: -9007199254740991 <= x <= 9007199254740991
Example:

1704067200

​
end_time
integer

End time (Unix seconds), exclusive

Required range: -9007199254740991 <= x <= 9007199254740991
Example:

1704153600

​
bucket_width
enum<string>
default:1d

Width of each time bucket (1m, 1h, 1d)

Available options:
1m,
1h,
1d
Example:

"1d"

​
limit
integer

Number of buckets to return

Required range: 1 <= x <= 1440
Example:

30

​
page
string

Pagination cursor

Example:

"cursor_abc123"

​
user_ids

Filter by platform user IDs (the same dimension group_by=user_id reports)

Example:
["user_123", "user_456"]
​
external_user_ids

Filter by delegated end-user IDs (externalUserId, i.e. X-On-Behalf-Of subs)

Example:
["sub_123"]
​
all_orgs
string

Aggregate usage across all organizations (cluster admins only)

​
org_ids

Filter by organization IDs (cluster admins only, implies cluster scope)

Example:
["org_123"]
​
group_by

Group by specified fields

Available options:
user_id,
api_key_id,
org_id

Response

200 - application/json

OK

​
object
any
required
​
data
object[]
required
​
has_more
boolean
required

Whether there are more pages

​
next_page
string | null
required

Cursor for next page, null if no more pages