Manually trigger a training DAG
Training
Manually trigger a training DAG
Kick off a fresh DAG run via Airflow’s REST API.
POST
Manually trigger a training DAG
Authorizations
The access token received from the authorization server in the OAuth 2.0 flow.
Path Parameters
Training job ID.
Response
Successful Response
Full state of a fine-tune training job.
Parameter-efficient fine-tuning method.
Available options:
lora, qlora Lifecycle of a fine-tune training job (mirrors the DB enum).
Available options:
ready, queued, running, complete, failed 
