Get Ml Status — GET /api/v1/settings/ai/ml/status
Get Ml Status
Samples, the current model, the retrain lock and the last attempt. Never 500s on an outage.
Endpoint: GET /api/v1/settings/ai/ml/status
Authentication: Send a signed-in user’s access token in Authorization: Bearer <access token>, or an API key in X-API-Key: <API key>.
- Your role must be QA lead or higher.
Parameters
Section titled “Parameters”| Name | In | Required | Type | Default | Description |
|---|---|---|---|---|---|
X-API-Key | header | no | string or null | API key, as an alternative to the access token (see Authentication). |
Request body
Section titled “Request body”No request body.
Responses
Section titled “Responses”| Status | Meaning | Body |
|---|---|---|
200 | Successful Response | MLStatusRead (application/json) |
422 | Validation Error | HTTPValidationError (application/json) |
It can also return 401 if your credential is missing or expired, 403 if your credential does not allow this request, and 404 if the item does not exist or you cannot see it. Your role, your project membership and the key’s scope decide what a credential allows. See Errors and retries.
More details
Section titled “More details”- Group: AI Settings
- Operation ID:
get_ml_status_api_v1_settings_ai_ml_status_get - Source code:
backend/app/routers/ml_training.py, line 45 - Specification: OpenAPI JSON