Start AEM Workflows on AEM as a Cloud Service using all available triggering mechanisms. Use when starting workflows manually via the Timeline UI, programmatically via WorkflowSession.startWorkflow(), via the HTTP Workflow API, through Manage Publication, or passing initial metadata and payload to a workflow instance.
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All mechanisms to start a workflow on AEM Cloud Service — from UI, programmatic API, HTTP API, and Manage Publication.
workflow-starter)
to a service user that is a member of the workflow-process-service group
(workflow-process-service is a group, not a user). See
programmatic-api.md for the mapping config.| Mechanism | Use Case |
|---|---|
| Timeline UI | One-off manual start on a single page or asset |
| Manage Publication | Multi-page batch start, integrates with publish pipeline |
| WorkflowSession API | Backend Java code, scheduled jobs, event handlers |
| HTTP Workflow API | REST calls, scripts, external integrations |
| Workflow Launchers | Automatic on JCR events — see workflow-launchers skill |
The workflow starts with the selected item as JCR_PATH payload and the current user as initiator.
AEM creates a cq:WorkflowContentPackage containing all selected pages as the workflow payload.
The payload is a JCR_PATH pointing to the generated package node under /var/workflow/packages
(legacy: /etc/workflow/packages) — useful to know when debugging payload issues, since the
payload is the package node, not the individual pages.
@Component(service = MyWorkflowService.class)
public class MyWorkflowService {
@Reference
private ResourceResolverFactory resolverFactory;
public String startWorkflow(String payloadPath, String modelId,
Map<String, Object> initialMeta) throws Exception {
Map<String, Object> auth = Collections.singletonMap(
ResourceResolverFactory.SUBSERVICE, "workflow-starter");
try (ResourceResolver resolver = resolverFactory.getServiceResourceResolver(auth)) {
WorkflowSession wfSession = resolver.adaptTo(WorkflowSession.class);
WorkflowModel model = wfSession.getModel(modelId);
WorkflowData data = wfSession.newWorkflowData("JCR_PATH", payloadPath);
// Set initial metadata
MetaDataMap meta = data.getMetaDataMap();
if (initialMeta != null) {
initialMeta.forEach(meta::put);
}
Workflow instance = wfSession.startWorkflow(model, data);
return instance.getId();
}
}
}Model ID format: /var/workflow/models/my-workflow (the runtime path, not the design-time path)
The API is rooted at /var/workflow/instances. Do not POST to /api/workflow/instances —
no workflow servlet is mounted there, so the Sling default POST servlet silently writes stray JCR
nodes and returns a misleading 2xx without starting any workflow.
# Start a workflow — returns HTTP 201 with an HTML body linking to the new instance path
curl -u admin:admin -X POST \
"http://localhost:4502/var/workflow/instances" \
--data-urlencode "_charset_=utf-8" \
--data-urlencode "model=/var/workflow/models/my-workflow" \
--data-urlencode "payloadType=JCR_PATH" \
--data-urlencode "payload=/content/my-site/en/home" \
--data-urlencode "workflowTitle=Review Request from CI" \
--data-urlencode "startComment=triggered via HTTP API"
# The start response is HTML — parse the instance path from the
# <a id="Location"> anchor (or "Modified Resource" link in the body),
# e.g. /var/workflow/instances/server0/<date>/my-workflow_1
# List all instances (JSON)
curl -u admin:admin "http://localhost:4502/var/workflow/instances.json"
# List by state using a selector (.RUNNING.json, .SUSPENDED.json, .COMPLETED.json, .ABORTED.json)
curl -u admin:admin "http://localhost:4502/var/workflow/instances.RUNNING.json"
# Get instance details — JSON fields: id, state, initiator, startTime,
# model, payloadType, payload, workItems[]
curl -u admin:admin \
"http://localhost:4502/var/workflow/instances/server0/<date>/my-workflow_1.json"
# Suspend a running workflow — POST state=SUSPENDED, returns HTTP 200
curl -u admin:admin -X POST \
"http://localhost:4502/var/workflow/instances/server0/<date>/my-workflow_1" \
--data-urlencode "_charset_=utf-8" \
--data-urlencode "state=SUSPENDED"
# Resume a suspended workflow — POST state=RUNNING, returns HTTP 200
curl -u admin:admin -X POST \
"http://localhost:4502/var/workflow/instances/server0/<date>/my-workflow_1" \
--data-urlencode "_charset_=utf-8" \
--data-urlencode "state=RUNNING"
# Terminate (abort) a workflow — POST state=ABORTED, returns HTTP 200
curl -u admin:admin -X POST \
"http://localhost:4502/var/workflow/instances/server0/<date>/my-workflow_1" \
--data-urlencode "_charset_=utf-8" \
--data-urlencode "state=ABORTED" \
--data-urlencode "terminateComment=cleanup"workflowTitle when starting programmatically — it helps operators identify instances in the console./var/workflow/models/ path (runtime). Do not use the /conf design-time path./var/workflow/models/ before calling startWorkflow().778ea71
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