WorkloadItemSchema

Schema representing a single workload usage record.

current_statusWorkloadStatusrequired

Current status of the workload.

Possible values: [pending, running, cancelled, completed, failed, insufficient_credits]

gpu_countintegerrequired

Number of GPUs used for the workload.

Possible values: >= 0

gpu_typestringrequired

Type of GPU used for the workload.

Min length: 1 character (non-empty)

hyperstack_org_idintegerrequired

Unique identifier of the Hyperstack organization.

Possible values: > 0

status_transitions object[]required

List of status transitions within the time window.

Array [

destination_statusWorkloadStatusrequired

The status the workload transitioned to.

Possible values: [pending, running, cancelled, completed, failed, insufficient_credits]

transition_datetimestring<date-time>required

The timestamp when the transition occurred (ISO 8601 format)

]

time_deltas_in_minutes_per_status objectrequired

Time spent in each status in minutes (can be negative for refunds)

property name*integer

workload_display_namestringrequired

Human-readable display name for the workload.

workload_idintegerrequired

Unique identifier of the workload (Pod ID)

Possible values: > 0

workload_typestringrequired

Type of workload (currently only 'fine-tuning')

Possible values: [fine-tuning]

WorkloadItemSchema

{
  "current_status": "pending",
  "gpu_count": 0,
  "gpu_type": "string",
  "hyperstack_org_id": 0,
  "status_transitions": [
    {
      "destination_status": "pending",
      "transition_datetime": "2024-07-29T15:51:28.071Z"
    }
  ],
  "time_deltas_in_minutes_per_status": {},
  "workload_display_name": "string",
  "workload_id": 0,
  "workload_type": "fine-tuning"
}