Create a model version

POST

/v1/model-versions

curl -X POST 'https://api.embodiflow.io/v1/model-versions' \
  -H 'Authorization: Bearer $EMBODIFLOW_PAT' \
  -H 'Content-Type: application/json' \
  -d '{
    "trainingJobId": "00000000-0000-0000-0000-000000000000",
    "name": "string",
    "handle": "string"
  }'

认证

每个请求都需要携带个人访问令牌（PAT）。

Authorization: Bearer PAT

认证指南

请求头参数

Idempotency-Keystring
Optional idempotency key, at most 255 characters (UUIDv4 recommended). A repeated key returns the first response byte-for-byte, including a 5xx. The same key with a different body, or a second in-flight request, returns 409 IDEMPOTENCY_CONFLICT. Keys are unique per tenant and retained for 24 hours.

请求体

Content-Typeapplication/json

trainingJobIdstring (uuid)必填
namestring必填
handlestring

响应

Success

dataobject必填
- idstring必填
- tenantIdstring必填
- projectIdstring必填
- modelImageDefinitionIdstring | null必填
- namestring必填
- sourceTypestring必填
  可选值
  trained
  imported
- sourceTrainingJobIdstring | null必填
- artifactIdstring | null必填
- statusstring必填
  可选值
  draft
  archived
  registered
- paramsSnapshotobject | null必填
- evalMetricsobject | null必填
- compatibleEmbodimentCodesarray<string>必填
- policyFamilystring | null必填
- wireProtocolsarray<string>必填
- bundleStatusstring必填
- bundleFailureCodestring | null必填
- registeredAtstring | null必填
- createdAtstring必填
- updatedAtstring必填
- trainedOnobject

响应示例

{
  "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
    }
  }
}

服务器https://api.embodiflow.io/v1https://api.embodiflow.dev/v1

curl -X POST 'https://api.embodiflow.io/v1/model-versions' \ -H 'Authorization: Bearer $EMBODIFLOW_PAT' \ -H 'Content-Type: application/json' \ -d '{ "trainingJobId": "00000000-0000-0000-0000-000000000000", "name": "string", "handle": "string" }'

{ "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 } } }