List steps for a workflow run

GET

/v1/workflow-runs/{runId}/steps

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

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

路径参数

runIdstring必填

查询参数

pageSizenumber
Page size. Default 25, maximum 100. Values above the maximum are refused.
pageTokenstring
Opaque page token from the previous response's `nextPageToken`.

响应

Success

dataarray<object>必填
- frozenobject必填
- statusstring | null必填
- reasonstring | null必填
- stepRunIdstring | null必填
- attemptnumber必填
- earlierAttemptsarray<EarlierStepAttempt>必填
- countsobject必填
- timingobject必填
- cachednumber必填
- fanOutobject必填
- nodestring必填
  可选值
  output
  input
  step
- outputStepstring | null必填
- titlestring必填
- categorystring必填
- levelstring | null必填
- portsarray<object>必填
- stepIdstring必填
- kindstring | null必填
nextPageTokenstring
Opaque AIP-158 page token. Omitted when the collection is exhausted.
metaobject必填
- pageSizenumber必填
- totalCountnumber
- truncatedone of
- requestIdstring

响应示例

{
  "data": [
    {
      "frozen": {
        "uses": "string",
        "resolvedUses": "string",
        "version": "string",
        "owner": "tenant",
        "revisionId": "string"
      },
      "status": "string",
      "reason": "string",
      "stepRunId": "string",
      "attempt": 0,
      "earlierAttempts": [
        {
          "attempt": 0,
          "stepRunId": "string",
          "recordingId": "string",
          "status": "string",
          "reason": "string",
          "failureClass": "string"
        }
      ],
      "counts": {},
      "timing": {
        "queuedAt": "string",
        "startedAt": "string",
        "finishedAt": "string",
        "lastProgressAt": "string"
      },
      "cached": 0,
      "fanOut": {
        "itemTotal": 0,
        "itemSucceeded": 0,
        "itemFailed": 0,
        "itemQuarantined": 0,
        "itemCached": 0,
        "itemSkipped": 0
      },
      "node": "output",
      "outputStep": "string",
      "title": "string",
      "category": "string",
      "level": "string",
      "ports": [
        {
          "name": "string",
          "type": "string",
          "hasContent": false
        }
      ],
      "stepId": "string",
      "kind": "string"
    }
  ],
  "nextPageToken": "string",
  "meta": {
    "pageSize": 0,
    "totalCount": 0,
    "truncated": false,
    "requestId": "string"
  }
}

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

{ "data": [ { "frozen": { "uses": "string", "resolvedUses": "string", "version": "string", "owner": "tenant", "revisionId": "string" }, "status": "string", "reason": "string", "stepRunId": "string", "attempt": 0, "earlierAttempts": [ { "attempt": 0, "stepRunId": "string", "recordingId": "string", "status": "string", "reason": "string", "failureClass": "string" } ], "counts": {}, "timing": { "queuedAt": "string", "startedAt": "string", "finishedAt": "string", "lastProgressAt": "string" }, "cached": 0, "fanOut": { "itemTotal": 0, "itemSucceeded": 0, "itemFailed": 0, "itemQuarantined": 0, "itemCached": 0, "itemSkipped": 0 }, "node": "output", "outputStep": "string", "title": "string", "category": "string", "level": "string", "ports": [ { "name": "string", "type": "string", "hasContent": false } ], "stepId": "string", "kind": "string" } ], "nextPageToken": "string", "meta": { "pageSize": 0, "totalCount": 0, "truncated": false, "requestId": "string" } }