Implement saga patterns for distributed transactions and cross-aggregate workflows. Use when coordinating multi-step business processes, handling compensating transactions, or managing long-running workflows.
npxskills add wshobson/agents--skill saga-orchestrationLoading…
Patterns for managing distributed transactions and long-running business processes without two-phase commit.
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Moved to references/details.md.
Moved to references/details.md.
saga_id must flow through every event and logsaga_id, step_name, old_state → new_state on every changeA saga enters compensation but never reaches FAILED. This means a compensation handler is throwing an unhandled exception and never publishing SagaCompensationCompleted. Add dead-letter queue (DLQ) handling to compensation consumers and ensure every compensation action publishes a result event even when the underlying operation was already rolled back.
async def handle_release_reservation(self, command: Dict):
try:
await self.release_reservation(command["original_result"]["reservation_id"])
except ReservationNotFoundError:
pass # Already released — treat as success
# Always publish completion, regardless of outcome
await self.event_publisher.publish("SagaCompensationCompleted", {
"saga_id": command["saga_id"],
"step_name": "reserve_inventory"
})
If your orchestrator service restarts mid-saga, it may replay events and re-execute already-completed steps. Guard every step action with an idempotency key — see Template 3 above.
In a choreography-based saga, a downstream service may miss an event if it was offline when published. Use a durable message broker (Kafka with replication, RabbitMQ with persistence) and store the current saga state in a dedicated saga_log table so you can replay from the last known good step.
A step like create_shipment might take up to 15 minutes during peak load but your global timeout is 5 minutes, causing spurious compensation. Make step timeouts configurable per step type — see references/advanced-patterns.md for the TimeoutSagaOrchestrator implementation and the STEP_TIMEOUTS dict pattern.
When two steps both complete before a failure is detected, compensation must run in strict reverse order or you leave data in an inconsistent state. Verify that _compensate() iterates from current_step - 1 down to 0, and add an integration test that deliberately fails at each step index to confirm correct rollback order.
The references/ directory contains production-grade implementations not needed for most sagas:
references/advanced-patterns.md — Full SagaOrchestrator abstract base class, TimeoutSagaOrchestrator with per-step deadlines, detailed bank transfer compensating transaction chain, Prometheus instrumentation, stuck saga PromQL alerts, and DLQ recovery worker.cqrs-implementation — Pair sagas with CQRS for read-model updates after each step completesevent-store-design — Store saga events in an event store for full audit trail and replay capabilityworkflow-orchestration-patterns — Higher-level workflow engines (Temporal, Conductor) that build on saga concepts
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Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
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