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This skill helps you implement saga patterns for distributed transactions using orchestration or choreography to ensure consistency and recoveries.
npx playbooks add skill yonatangross/orchestkit --skill saga-patternsReview the files below or copy the command above to add this skill to your agents.
---
name: saga-patterns
description: Saga patterns for distributed transactions with orchestration and choreography approaches. Use when implementing multi-service transactions, handling partial failures, or building systems requiring eventual consistency with compensation.
context: fork
agent: event-driven-architect
version: 1.0.0
tags: [saga, distributed-transactions, orchestration, choreography, compensation, microservices, 2026]
author: OrchestKit
user-invocable: false
---
# Saga Patterns for Distributed Transactions
Maintain consistency across microservices without distributed locks.
## Overview
- Multi-service business transactions (order -> payment -> inventory -> shipping)
- Operations that must eventually succeed or roll back completely
- Long-running business processes (minutes to days)
- Microservices avoiding 2PC (two-phase commit)
## When NOT to Use
- Single database operations (use transactions)
- Real-time consistency requirements (use synchronous calls)
- When eventual consistency is unacceptable
## Orchestration vs Choreography
| Aspect | Orchestration | Choreography |
|--------|---------------|--------------|
| Control | Central orchestrator | Distributed events |
| Coupling | Services depend on orchestrator | Loosely coupled |
| Visibility | Single point of observation | Requires distributed tracing |
| Best for | Complex, ordered workflows | Simple, parallel flows |
## Orchestration Pattern
```python
from enum import Enum
from dataclasses import dataclass, field
from typing import Callable, Any
from datetime import datetime, timezone
class SagaStatus(Enum):
PENDING = "pending"
RUNNING = "running"
COMPLETED = "completed"
COMPENSATING = "compensating"
COMPENSATED = "compensated"
FAILED = "failed"
@dataclass
class SagaStep:
name: str
action: Callable
compensation: Callable
status: SagaStatus = SagaStatus.PENDING
result: Any = None
@dataclass
class SagaContext:
saga_id: str
data: dict = field(default_factory=dict)
steps: list[SagaStep] = field(default_factory=list)
status: SagaStatus = SagaStatus.PENDING
current_step: int = 0
class SagaOrchestrator:
def __init__(self, saga_repository, event_publisher):
self.repo = saga_repository
self.publisher = event_publisher
async def execute(self, saga: SagaContext) -> SagaContext:
saga.status = SagaStatus.RUNNING
await self.repo.save(saga)
for i, step in enumerate(saga.steps):
saga.current_step = i
try:
step.result = await step.action(saga.data)
saga.data.update(step.result or {})
step.status = SagaStatus.COMPLETED
except Exception:
step.status = SagaStatus.FAILED
await self._compensate(saga, i)
return saga
saga.status = SagaStatus.COMPLETED
await self.repo.save(saga)
return saga
async def _compensate(self, saga: SagaContext, failed_step: int):
saga.status = SagaStatus.COMPENSATING
for i in range(failed_step - 1, -1, -1):
step = saga.steps[i]
if step.status == SagaStatus.COMPLETED:
try:
await step.compensation(saga.data)
step.status = SagaStatus.COMPENSATED
except Exception as e:
step.error = f"Compensation failed: {e}"
saga.status = SagaStatus.COMPENSATED
await self.repo.save(saga)
```
### Order Saga Example
```python
class OrderSaga:
def __init__(self, payment_service, inventory_service, shipping_service):
self.payment = payment_service
self.inventory = inventory_service
self.shipping = shipping_service
def create_saga(self, order: Order) -> SagaContext:
return SagaContext(
saga_id=f"order-{order.id}",
data={"order": order.dict()},
steps=[
SagaStep("reserve_inventory", self._reserve_inventory, self._release_inventory),
SagaStep("process_payment", self._process_payment, self._refund_payment),
SagaStep("create_shipment", self._create_shipment, self._cancel_shipment),
],
)
async def _reserve_inventory(self, data: dict) -> dict:
reservation = await self.inventory.reserve(items=data["order"]["items"])
return {"reservation_id": reservation.id}
async def _release_inventory(self, data: dict):
await self.inventory.release(data["reservation_id"])
async def _process_payment(self, data: dict) -> dict:
payment = await self.payment.charge(amount=data["order"]["total"])
return {"payment_id": payment.id}
async def _refund_payment(self, data: dict):
await self.payment.refund(data["payment_id"])
async def _create_shipment(self, data: dict) -> dict:
shipment = await self.shipping.create(order_id=data["order"]["id"])
return {"shipment_id": shipment.id}
async def _cancel_shipment(self, data: dict):
if "shipment_id" in data:
await self.shipping.cancel(data["shipment_id"])
```
## Choreography Pattern
```python
class OrderChoreography:
"""Event handlers for order saga choreography."""
def __init__(self, event_bus, order_repo):
self.bus = event_bus
self.repo = order_repo
async def handle_order_created(self, event):
await self.bus.publish("inventory.reserve.requested", {
"saga_id": event.saga_id,
"items": event.payload["order"]["items"],
})
async def handle_inventory_reserved(self, event):
await self.bus.publish("payment.charge.requested", {
"saga_id": event.saga_id,
"amount": event.payload["amount"],
})
async def handle_payment_failed(self, event):
# Compensation: release inventory
await self.bus.publish("inventory.release.requested", {
"saga_id": event.saga_id,
"reservation_id": event.payload["reservation_id"],
})
async def handle_shipment_created(self, event):
order = await self.repo.get(event.payload["order_id"])
order.status = "shipped"
await self.repo.save(order)
```
## Timeout and Recovery
```python
from datetime import timedelta
import asyncio
class SagaRecovery:
def __init__(self, saga_repo, orchestrator):
self.repo = saga_repo
self.orchestrator = orchestrator
async def recover_stuck_sagas(self, timeout: timedelta = timedelta(hours=1)):
cutoff = datetime.now(timezone.utc) - timeout
stuck_sagas = await self.repo.find_by_status_and_age(SagaStatus.RUNNING, cutoff)
for saga in stuck_sagas:
try:
await self.orchestrator.resume(saga)
except Exception:
await self.orchestrator._compensate(saga, saga.current_step)
async def retry_failed_step(self, saga_id: str, max_retries: int = 3):
saga = await self.repo.get(saga_id)
failed_step = saga.steps[saga.current_step]
for attempt in range(max_retries):
try:
failed_step.result = await failed_step.action(saga.data)
failed_step.status = SagaStatus.COMPLETED
await self.orchestrator.resume(saga, from_step=saga.current_step + 1)
return
except Exception:
await asyncio.sleep(2 ** attempt)
await self.orchestrator._compensate(saga, saga.current_step)
```
## Idempotency
```python
class IdempotentSagaStep:
def __init__(self, step_name: str, idempotency_store):
self.step_name = step_name
self.store = idempotency_store
async def execute(self, saga_id: str, action: Callable, *args, **kwargs):
idempotency_key = f"{saga_id}:{self.step_name}"
existing = await self.store.get(idempotency_key)
if existing:
return existing["result"]
result = await action(*args, **kwargs)
await self.store.set(idempotency_key, {"result": result}, ttl=timedelta(days=7))
return result
```
## Key Decisions
| Decision | Recommendation |
|----------|----------------|
| Pattern choice | Orchestration for complex flows, Choreography for simple |
| State storage | Persistent store (PostgreSQL) for saga state |
| Idempotency | Required for all saga steps |
| Timeouts | Per-step timeouts with recovery |
| Compensation | Always implement, test thoroughly |
| Observability | Trace saga ID across all services |
## Anti-Patterns (FORBIDDEN)
```python
# NEVER skip compensation logic
async def _process_payment(self, data: dict):
return await self.payment.charge(data) # Missing compensation!
# NEVER rely on synchronous calls across services
async def _reserve_and_pay(self, data: dict):
await self.inventory.reserve(data)
await self.payment.charge(data) # If fails, inventory stuck!
# NEVER ignore idempotency
async def _create_order(self, data: dict):
return await self.db.insert(Order(**data)) # Duplicate on retry!
# NEVER use in-memory saga state
sagas = {} # Lost on restart!
# ALWAYS persist saga state and test compensation paths
```
## Related Skills
- `temporal-io` - Durable workflow execution
- `event-sourcing` - Event-driven state management
- `idempotency-patterns` - Idempotent operations
This skill provides production-ready saga patterns for implementing distributed transactions using both orchestration and choreography approaches. It targets TypeScript microservice architectures where multi-step business processes need eventual consistency, compensation, and recovering from partial failures. Use it to design durable, observable sagas without distributed locks or two-phase commit.
The skill defines orchestrator-based sagas that execute ordered steps with explicit compensation actions and persistent saga state. It also shows choreography via event handlers that drive flow through domain events. Included are strategies for idempotency, timeouts, recovery, retries, and observability to resume or compensate stuck sagas.
When should I pick orchestration over choreography?
Use orchestration when you need a single workflow controller, complex ordered steps, or easier single-point observability; choose choreography for simple, event-driven flows where services remain loosely coupled.
How do I handle stuck or long-running sagas?
Persist start timestamps, use per-step timeouts, run recovery jobs that resume or trigger compensation, and implement retry/backoff for transient failures.