Get feedback export status

Checks the status and progress of the currently running or most recently completed feedback export job.

GET /api/v1/llm/feedback/export/status

Python (SDK)

Python

from mka1 import SDK


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

    res = sdk.llm.feedback.get_export_status()

    # Handle response
    print(res)

200

{
  "status": "COMPLETED",
  "startTime": "2024-01-15T10:30:00Z",
  "closeTime": "2024-01-15T10:31:30Z",
  "progress": {
    "stage": "completed",
    "recordCount": 120,
    "completionCount": 70,
    "responseCount": 50,
    "parquetBytes": 24576,
    "message": "Export completed successfully"
  },
  "result": {
    "outputPath": "s3://exports/feedback/2024-01-15",
    "completionsFile": "s3://exports/feedback/2024-01-15/completions.parquet",
    "responsesFile": "s3://exports/feedback/2024-01-15/responses.parquet",
    "recordCount": 120,
    "completionFeedbackCount": 70,
    "responseFeedbackCount": 50,
    "exportedAt": 1705314690000,
    "durationMs": 90000
  }
}

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.

Response

200 - application/json

OK

Response containing the status and progress of the feedback export job.

status · enum<string> · required

Current status of the export job

Available options: NOT_FOUND, RUNNING, COMPLETED, FAILED, CANCELLED, TERMINATED, CONTINUED_AS_NEW, TIMED_OUT

startTime · string<date-time>

When the export job started

closeTime · string<date-time>

When the export job completed (if finished)

progress · object

Progress information (available when running)

Show child attributes

result · object

Export result (only present when status is COMPLETED)

Show child attributes

error · string

Error message (only present when status is FAILED)