List model versions
GET
/v1/model-versionscurl -X GET 'https://api.embodiflow.io/v1/model-versions' \
-H 'Authorization: Bearer $EMBODIFLOW_PAT'Authorization
Send a personal access token with every request.
- Authorization: Bearer PAT
Query parameters
- pageSizenumber
Page size (default 25, maximum 100). Over-maximum is refused.
- pageTokenstring
Opaque page token from the previous response.
- sortBystring
- sortOrderstringAllowed valuesascdesc
- projectIdstring (uuid)
- statusstringAllowed valuesdraftregisteredarchived
- modelImageDefinitionIdstring (uuid)
- qstring
Responses
Success
- dataarray<ModelVersionSummaryDto>required
- idstringrequired
- tenantIdstringrequired
- projectIdstringrequired
- modelImageDefinitionIdstring | nullrequired
- namestringrequired
- sourceTypestringrequiredAllowed valuestrainedimported
- sourceTrainingJobIdstring | nullrequired
- artifactIdstring | nullrequired
- statusstringrequiredAllowed valuesdraftarchivedregistered
- paramsSnapshotobject | nullrequired
- evalMetricsobject | nullrequired
- compatibleEmbodimentCodesarray<string>required
- policyFamilystring | nullrequired
- wireProtocolsarray<string>required
- bundleStatusstringrequired
- bundleFailureCodestring | nullrequired
- registeredAtstring | nullrequired
- createdAtstringrequired
- updatedAtstringrequired
- trainedOnobject
- metaobjectrequired
- pageSizenumberrequired
- requestIdstring
- nextPageTokenstring
Opaque AIP-158 page token. Omitted when the collection is exhausted.
Response example
{
"data": [
{
"id": "string",
"tenantId": "string",
"projectId": "string",
"modelImageDefinitionId": "string",
"name": "string",
"sourceType": "trained",
"sourceTrainingJobId": "string",
"artifactId": "string",
"status": "draft",
"paramsSnapshot": {},
"evalMetrics": {},
"compatibleEmbodimentCodes": [
"string"
],
"policyFamily": "string",
"wireProtocols": [
"string"
],
"bundleStatus": "string",
"bundleFailureCode": "string",
"registeredAt": "string",
"createdAt": "string",
"updatedAt": "string",
"trainedOn": {
"projectVersionId": "string",
"rigProfiles": [
{
"id": "string",
"source": "team"
}
],
"resultsWithoutRigProfile": 0
}
}
],
"meta": {
"pageSize": 0,
"requestId": "string"
},
"nextPageToken": "string"
}Servershttps://api.embodiflow.io/v1https://api.embodiflow.dev/v1