from mka1 import SDK
with SDK(
bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:
res = sdk.llm.usage.embeddings(start_time=1704067200, end_time=1704153600, bucket_width="1d", limit=30, page="cursor_abc123", user_ids=[
"user_123",
"user_456",
], group_by=[
"model",
], models=[
"auto",
])
# Handle response
print(res){
"object": "page",
"data": [
{
"object": "bucket",
"start_time": 1704067200,
"end_time": 1704153600,
"results": [
{
"object": "organization.usage.embeddings.result",
"input_tokens": 6400,
"num_model_requests": 64,
"project_id": null,
"user_id": "user_123",
"api_key_id": "key_abc123",
"model": "auto"
}
]
}
],
"has_more": false,
"next_page": null
}Retrieve usage metrics for embedding operations.
from mka1 import SDK
with SDK(
bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:
res = sdk.llm.usage.embeddings(start_time=1704067200, end_time=1704153600, bucket_width="1d", limit=30, page="cursor_abc123", user_ids=[
"user_123",
"user_456",
], group_by=[
"model",
], models=[
"auto",
])
# Handle response
print(res){
"object": "page",
"data": [
{
"object": "bucket",
"start_time": 1704067200,
"end_time": 1704153600,
"results": [
{
"object": "organization.usage.embeddings.result",
"input_tokens": 6400,
"num_model_requests": 64,
"project_id": null,
"user_id": "user_123",
"api_key_id": "key_abc123",
"model": "auto"
}
]
}
],
"has_more": false,
"next_page": null
}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>.
Start time (Unix seconds), inclusive
-9007199254740991 <= x <= 90071992547409911704067200
End time (Unix seconds), exclusive
-9007199254740991 <= x <= 90071992547409911704153600
Width of each time bucket (1m, 1h, 1d)
1m, 1h, 1d "1d"
Number of buckets to return
1 <= x <= 144030
Pagination cursor
"cursor_abc123"
Filter by external Subs (externalUserIds)
["user_123", "user_456"]Group by specified fields
user_id, api_key_id, model Filter by model names
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