golem-recurring-task-scala
Agent BuildingImplementing a recurring (cron-like) task in a Scala Golem agent by self-scheduling future invocations. Use when the user asks about periodic tasks, recurring jobs, cron-like scheduling, polling loops, heartbeats, or self-scheduling agents.
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Recurring Tasks via Self-Scheduling (Scala)
Overview
A Golem agent can act as its own scheduler by calling .poll.scheduleAt(...) on its own remote client at the end of each invocation. This creates a durable, crash-resilient recurring task — if the agent restarts, the scheduled invocation is still pending and will fire at the designated time.
Basic Pattern
The agent schedules its own method to run again after a delay:
import golem.Datetime
@agentDefinition
trait PollerAgent extends BaseAgent {
class Id(name: String) derives Schema
def start(): Unit
def poll(): Unit
}
@agentImplementation()
class PollerAgentImpl(id: PollerAgent.Id) extends PollerAgent {
def start(): Unit = poll()
def poll(): Unit = {
// 1. Do the recurring work
doWork()
// 2. Schedule the next run (60 seconds from now)
val self = PollerAgentClient.get(id.name)
self.poll.scheduleAt(Datetime.afterSeconds(60))
}
}
Exponential Backoff
Increase the delay on repeated failures, reset on success:
@agentImplementation()
class PollerAgentImpl(id: PollerAgent.Id) extends PollerAgent {
private var consecutiveFailures: Int = 0
private val baseIntervalSecs: Int = 60
private val maxIntervalSecs: Int = 3600
def poll(): Unit = {
val success = tryWork()
val delay = if (success) {
consecutiveFailures = 0
baseIntervalSecs
} else {
consecutiveFailures += 1
val exp = Math.min(consecutiveFailures, 6)
val backoff = baseIntervalSecs * Math.pow(2, exp).toInt
Math.min(backoff, maxIntervalSecs)
}
val self = PollerAgentClient.get(id.name)
self.poll.scheduleAt(Datetime.afterSeconds(delay))
}
}
Cancellation
Cancellation with CancellationToken
Every generated remote method has a scheduleCancelableAt variant that returns a Future[CancellationToken]. Store the token and call .cancel() to prevent the scheduled invocation from firing:
import golem.runtime.rpc.CancellationToken
@agentImplementation()
class PollerAgentImpl(id: PollerAgent.Id) extends PollerAgent {
private var cancelled: Boolean = false
private var pendingToken: Option[CancellationToken] = None
def poll(): Unit = {
if (cancelled) return
doWork()
val self = PollerAgentClient.get(id.name)
pendingToken = Some(Await.result(
self.poll.scheduleCancelableAt(Datetime.afterSeconds(60)),
Duration.Inf
))
}
def cancel(): Unit = {
cancelled = true
pendingToken.foreach(_.cancel())
pendingToken = None
}
}
Cancellation via State Flag
For simpler cases, just use a boolean flag — the next scheduled poll checks it and exits early:
def poll(): Unit = {
if (cancelled) return
doWork()
scheduleNext(60)
}
def cancel(): Unit = {
cancelled = true
}
Cancellation from the CLI
Schedule with an explicit idempotency key and cancel the pending invocation:
# Schedule with a known idempotency key
golem agent invoke --trigger --schedule-at 2026-03-15T10:30:00Z -i 'poll-next' 'PollerAgent("my-poller")' poll
# Cancel the pending invocation
golem agent invocation cancel 'PollerAgent("my-poller")' 'poll-next'
Common Use Cases
Periodic Polling
Check an external API or queue for new work at regular intervals:
def poll(): Unit = {
val items = fetchPendingItems()
items.foreach(process)
scheduleNext(60)
}
Periodic Cleanup
Remove expired data or stale resources on a schedule:
def cleanup(): Unit = {
entries = entries.filterNot(_.isExpired)
scheduleNext(3600) // run hourly
}
Heartbeat / Keep-Alive
Periodically notify an external service that the agent is alive:
def heartbeat(): Unit = {
sendHeartbeat(serviceUrl)
scheduleNext(30) // every 30s
}
Helper for Scheduling Self
Extract the scheduling logic into a helper to keep methods clean:
private def scheduleNext(delaySecs: Int): Unit = {
val self = PollerAgentClient.get(id.name)
self.poll.scheduleAt(Datetime.afterSeconds(delaySecs))
}
Key Points
- The agent is durable — if it crashes, the pending scheduled invocation still fires and the agent recovers
- Invocations are sequential — no concurrent executions of
pollon the same agent - Each
.scheduleAtcall is a fire-and-forget enqueue; the current invocation completes immediately - Use a state flag to stop the loop gracefully
- Keep the scheduled method idempotent — it may be retried on recovery
Recovery & Oplog Growth
Each scheduled tick (heartbeat, poll, cleanup) appends entries to the agent's oplog. For long-running or high-frequency recurring tasks, the oplog grows unboundedly, and recovery on crash will replay the full history — which becomes slow over time.
You cannot opt out of oplog writes for a durable agent. The fix is snapshot-based recovery: enable periodic snapshotting so recovery starts from the latest snapshot instead of replaying every prior tick. See golem-custom-snapshot-scala for the @agentDefinition(snapshotting = "every(N)") / "periodic(...)" annotation and Snapshotted[S] / custom binary save/load hooks.