Get a container run

GET

/v1/container-runs/{id}

curl -X GET 'https://api.embodiflow.io/v1/container-runs/{id}' \
  -H 'Authorization: Bearer $EMBODIFLOW_PAT'

Authorization

Send a personal access token with every request.

Authorization: Bearer PAT

Authentication guide

Path parameters

idstringrequired

Responses

Success

dataobjectrequired
- idstringrequired
- tenantIdstringrequired
- projectIdstring | nullrequired
- workflowRunIdstring | nullrequired
- algorithmRevisionIdstring | nullrequired
- trainingJobIdstring | null
- inferenceDeploymentIdstring | null
- runKindstring
  Allowed values
  training
  workflow-processor
  inference
- kindstringrequired
  Allowed values
  processor
  file-downloader
  quality-extractor
  legacy-job
  trainer
  inference-server
- k8sNamespacestringrequired
- k8sJobNamestringrequired
- k8sPodNamestringrequired
- k8sPodUidstringrequired
- k8sNodeNamestring | nullrequired
- containerNamestringrequired
- imageRefstring | nullrequired
- resourceRequestsobject | nullrequired
- resourceLimitsobject | nullrequired
- startedAtstringrequired
- finishedAtstringrequired
- durationSecondsnumberrequired
- exitCodenumber | nullrequired
- terminationReasonstring | nullrequired
- logObjectKeystring | nullrequired
- logSizeBytesstring | nullrequired
- logTruncatedone ofrequired
- logArchivedAtstring | nullrequired
- logRetentionExpiresAtstring | nullrequired
- createdAtstringrequired

Response example

{
  "data": {
    "id": "string",
    "tenantId": "string",
    "projectId": "string",
    "workflowRunId": "string",
    "algorithmRevisionId": "string",
    "trainingJobId": "string",
    "inferenceDeploymentId": "string",
    "runKind": "training",
    "kind": "processor",
    "k8sNamespace": "string",
    "k8sJobName": "string",
    "k8sPodName": "string",
    "k8sPodUid": "string",
    "k8sNodeName": "string",
    "containerName": "string",
    "imageRef": "string",
    "resourceRequests": {},
    "resourceLimits": {},
    "startedAt": "string",
    "finishedAt": "string",
    "durationSeconds": 0,
    "exitCode": 0,
    "terminationReason": "string",
    "logObjectKey": "string",
    "logSizeBytes": "string",
    "logTruncated": false,
    "logArchivedAt": "string",
    "logRetentionExpiresAt": "string",
    "createdAt": "string"
  }
}

Servershttps://api.embodiflow.io/v1https://api.embodiflow.dev/v1

{ "data": { "id": "string", "tenantId": "string", "projectId": "string", "workflowRunId": "string", "algorithmRevisionId": "string", "trainingJobId": "string", "inferenceDeploymentId": "string", "runKind": "training", "kind": "processor", "k8sNamespace": "string", "k8sJobName": "string", "k8sPodName": "string", "k8sPodUid": "string", "k8sNodeName": "string", "containerName": "string", "imageRef": "string", "resourceRequests": {}, "resourceLimits": {}, "startedAt": "string", "finishedAt": "string", "durationSeconds": 0, "exitCode": 0, "terminationReason": "string", "logObjectKey": "string", "logSizeBytes": "string", "logTruncated": false, "logArchivedAt": "string", "logRetentionExpiresAt": "string", "createdAt": "string" } }