from mka1 import SDK
with SDK(
bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:
res = sdk.llm.feedback.start_export()
# Handle response
print(res){
"started": true,
"status": "RUNNING",
"progress": {
"stage": "starting",
"message": "Initializing feedback export"
}
}Starts a background job to export all feedback data to parquet files in S3/R2. Only one export can run simultaneously.
from mka1 import SDK
with SDK(
bearer_auth="<YOUR_BEARER_TOKEN_HERE>",
) as sdk:
res = sdk.llm.feedback.start_export()
# Handle response
print(res){
"started": true,
"status": "RUNNING",
"progress": {
"stage": "starting",
"message": "Initializing feedback export"
}
}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>.
OK
Response when starting a feedback export job.
Whether a new export was started (false if already running)
Current status of the export job
NOT_FOUND, RUNNING, COMPLETED, FAILED, CANCELLED, TERMINATED, CONTINUED_AS_NEW, TIMED_OUT Progress information (available when running)
Show child attributes
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