Get Workload Metrics
Retrieve GPU metrics for a specific workload.GET /v1/workloads/{workload_id}/metrics
Path Parameters
| Parameter | Type | Description |
|---|---|---|
workload_id | string | The unique workload identifier |
Query Parameters
| Parameter | Type | Description |
|---|---|---|
time_range | string | Time range: last_1h, last_6h, last_24h, job_lifetime (default: last_1h) |
metrics | string | Comma-separated list of metrics to include |
Available Metrics
| Metric | Description |
|---|---|
gpu_utilization | GPU compute utilization percentage |
memory_utilization | GPU memory utilization percentage |
temperature | GPU temperature in Celsius |
power_usage | Power consumption in Watts |
gpu_usage | Overall GPU usage metric |
Example Request
curl -X GET "https://api.usechamber.io/v1/workloads/wl_abc123/metrics?time_range=last_6h&metrics=gpu_utilization,memory_utilization" \
-H "Authorization: Bearer <token>" \
-H "X-Organization-Id: <org-id>"
Example Response
{
"data": {
"workload_id": "wl_abc123",
"time_range": "last_6h",
"metrics": {
"gpu_utilization": {
"avg": 85.2,
"min": 45.0,
"max": 99.8,
"current": 92.1
},
"memory_utilization": {
"avg": 78.5,
"min": 60.2,
"max": 89.4,
"current": 82.0
}
}
},
"request_id": "req_abc123"
}
Get Ranked Workload Metrics
Retrieve metrics across workloads, ranked by utilization or consumption.GET /v1/workloads/metrics
Query Parameters
| Parameter | Type | Description |
|---|---|---|
sort_by | string | Sort metric: gpu_utilization, memory_utilization, power_usage, gpu_hours |
order | string | Sort order: asc, desc (default: desc) |
limit | integer | Number of results (1-100, default: 10) |
initiative_id | string | Filter to specific team |
status | string | Filter by workload status |
Example Request
curl -X GET "https://api.usechamber.io/v1/workloads/metrics?sort_by=gpu_utilization&order=desc&limit=5" \
-H "Authorization: Bearer <token>" \
-H "X-Organization-Id: <org-id>"
Example Response
{
"data": {
"workloads": [
{
"workload_id": "wl_abc123",
"name": "training-large-model",
"gpu_utilization": {
"avg": 95.2,
"current": 97.1
},
"initiative_id": "init_ml_team"
},
{
"workload_id": "wl_def456",
"name": "inference-batch",
"gpu_utilization": {
"avg": 88.7,
"current": 91.0
},
"initiative_id": "init_research"
}
],
"scope_average": {
"gpu_utilization": 72.5
}
},
"metadata": {
"total_count": 45
},
"request_id": "req_abc123"
}