/aws-lambda-durable-functions
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with
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Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with
SKILL.md
aws-lambda-durable-functions.SKILL.mdname: aws-lambda-durable-functions
description: >
Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless applications.
AWS Lambda durable functions
Build resilient multi-step applications and AI workflows that can execute for up to 1 year while maintaining reliable progress despite interruptions.
Onboarding
Step 1: Validate Prerequisites
Before using AWS Lambda durable functions, verify:
1. **AWS CLI** is installed (2.33.22 or higher) and configured:
aws --version
aws sts get-caller-identity
2. **Runtime environment** is ready:
- For TypeScript/JavaScript: Node.js 22+ (`node --version`)
- For Python: Python 3.11+ (`python --version`. Note that currently only Lambda runtime environments 3.13+ come with the Durable Execution SDK pre-installed. 3.11 is the min supported Python version by the Durable SDK itself, however, you could use OCI to bring your own container image with your own Python runtime + Durable SDK.)
3. **Deployment capability** exists (one of):
- AWS SAM CLI (`sam --version`) 1.153.1 or higher
- AWS CDK (`cdk --version`) v2.237.1 or higher
- Direct Lambda deployment access
Step 2: Select language and IaC framework
Language Selection
Default: TypeScript
Override syntax:
- "use Python" → Generate Python code
- "use JavaScript" → Generate JavaScript code
When not specified, ALWAYS use TypeScript
IaC framework selection
Default: CDK
Override syntax:
- "use CloudFormation" → Generate YAML templates
- "use SAM" → Generate YAML templates
When not specified, ALWAYS use CDK
Error Scenarios
Unsupported Language
- List detected language
- State: "Durable Execution SDK is not yet available for [framework]"
- Suggest supported languages as alternatives
Unsupported IaC Framework
- List detected framework
- State: "[framework] might not support Lambda durable functions yet"
- Suggest supported frameworks as alternatives
Serverless MCP Server Unavailable
- Inform user: "AWS Serverless MCP not responding"
- Ask: "Proceed without MCP support?"
- DO NOT continue without user confirmation
Step 3: Install SDK
**For TypeScript/JavaScript:**
npm install @aws/durable-execution-sdk-js
npm install --save-dev @aws/durable-execution-sdk-js-testing
**For Python:**
pip install aws-durable-execution-sdk-python
pip install aws-durable-execution-sdk-python-testing
When to Load Reference Files
Load the appropriate reference file based on what the user is working on:
- **Getting started**, **basic setup**, **example**, **ESLint**, or **Jest setup** -> see [getting-started.md](references/getting-started.md)
- **Understanding replay model**, **determinism**, or **non-deterministic errors** -> see [replay-model-rules.md](references/replay-model-rules.md)
- **Creating steps**, **atomic operations**, or **retry logic** -> see [step-operations.md](references/step-operations.md)
- **Waiting**, **delays**, **callbacks**, **external systems**, or **polling** -> see [wait-operations.md](references/wait-operations.md)
- **Parallel execution**, **map operations**, **batch processing**, or **concurrency** -> see [concurrent-operations.md](references/concurrent-operations.md)
- **Error handling**, **retry strategies**, **saga pattern**, or **compensating transactions** -> see [error-handling.md](references/error-handling.md)
- **Advanced error handling**, **timeout handling**, **circuit breakers**, or **conditional retries** -> see [advanced-error-handling.md](references/advanced-error-handling.md)
- **Testing**, **local testing**, **cloud testing**, **test runner**, or **flaky tests** -> see [testing-patterns.md](references/testing-patterns.md)
- **Deployment**, **CloudFormation**, **CDK**, **SAM**, **log groups**, **deploy**, or **infrastructure** -> see [deployment-iac.md](references/deployment-iac.md)
- **Advanced patterns**, **GenAI agents**, **completion policies**, **step semantics**, or **custom serialization** -> see [advanced-patterns.md](references/advanced-patterns.md)
- **troubleshooting**, **stuck execution**, **failed execution**, **debug execution ID**, **execution history**, **execution error**, **why did my execution fail**, **execution timed out**, **callback not received**, **diagnose execution**, or **root cause execution** -> see [troubleshooting-executions.md](references/troubleshooting-executions.md)
Quick Reference
Basic Handler Pattern
**TypeScript:**
import { withDurableExecution, DurableContext } from '@aws/durable-execution-sdk-js';
export const handler = withDurableExecution(async (event, context: DurableContext) => {
const result = await context.step('process', async () => processData(event));
return result;
});**Python:**
from aws_durable_execution_sdk_python import durable_execution, DurableContext
@durable_execution
def handler(event: dict, context: DurableContext) -> dict:
result = context.step(lambda _: process_data(event), name='process')
return resultCritical Rules
1. **All non-deterministic code MUST be in steps** (Date.now, Math.random, API calls) 2. **Cannot nest durable operations** - use `runInChildContext` to group operations 3. **Closure mutations are lost on replay** - return values from steps 4. **Side effects outside steps repeat** - use `context.logger` (replay-aware)
Python API Differences
The Python SDK differs from TypeScript in several key areas:
- **Steps*
Read more
name: aws-lambda-durable-functions description: > Build resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like: lambda durable functions, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, and reliable serverless applications.
AWS Lambda durable functions
Build resilient multi-step applications and AI workflows that can execute for up to 1 year while maintaining reliable progress despite interruptions.
Onboarding
Step 1: Validate Prerequisites
Before using AWS Lambda durable functions, verify:
1. **AWS CLI** is installed (2.33.22 or higher) and configured:
aws --version aws sts get-caller-identity
2. **Runtime environment** is ready:
- For TypeScript/JavaScript: Node.js 22+ (`node --version`)
- For Python: Python 3.11+ (`python --version`. Note that currently only Lambda runtime environments 3.13+ come with the Durable Execution SDK pre-installed. 3.11 is the min supported Python version by the Durable SDK itself, however, you could use OCI to bring your own container image with your own Python runtime + Durable SDK.)
3. **Deployment capability** exists (one of):
- AWS SAM CLI (`sam --version`) 1.153.1 or higher
- AWS CDK (`cdk --version`) v2.237.1 or higher
- Direct Lambda deployment access
Step 2: Select language and IaC framework
Language Selection
Default: TypeScript
Override syntax:
- "use Python" → Generate Python code
- "use JavaScript" → Generate JavaScript code
When not specified, ALWAYS use TypeScript
IaC framework selection
Default: CDK
Override syntax:
- "use CloudFormation" → Generate YAML templates
- "use SAM" → Generate YAML templates
When not specified, ALWAYS use CDK
Error Scenarios
Unsupported Language
- List detected language
- State: "Durable Execution SDK is not yet available for [framework]"
- Suggest supported languages as alternatives
Unsupported IaC Framework
- List detected framework
- State: "[framework] might not support Lambda durable functions yet"
- Suggest supported frameworks as alternatives
Serverless MCP Server Unavailable
- Inform user: "AWS Serverless MCP not responding"
- Ask: "Proceed without MCP support?"
- DO NOT continue without user confirmation
Step 3: Install SDK
**For TypeScript/JavaScript:**
npm install @aws/durable-execution-sdk-js npm install --save-dev @aws/durable-execution-sdk-js-testing
**For Python:**
pip install aws-durable-execution-sdk-python pip install aws-durable-execution-sdk-python-testing
When to Load Reference Files
Load the appropriate reference file based on what the user is working on:
- **Getting started**, **basic setup**, **example**, **ESLint**, or **Jest setup** -> see [getting-started.md](references/getting-started.md)
- **Understanding replay model**, **determinism**, or **non-deterministic errors** -> see [replay-model-rules.md](references/replay-model-rules.md)
- **Creating steps**, **atomic operations**, or **retry logic** -> see [step-operations.md](references/step-operations.md)
- **Waiting**, **delays**, **callbacks**, **external systems**, or **polling** -> see [wait-operations.md](references/wait-operations.md)
- **Parallel execution**, **map operations**, **batch processing**, or **concurrency** -> see [concurrent-operations.md](references/concurrent-operations.md)
- **Error handling**, **retry strategies**, **saga pattern**, or **compensating transactions** -> see [error-handling.md](references/error-handling.md)
- **Advanced error handling**, **timeout handling**, **circuit breakers**, or **conditional retries** -> see [advanced-error-handling.md](references/advanced-error-handling.md)
- **Testing**, **local testing**, **cloud testing**, **test runner**, or **flaky tests** -> see [testing-patterns.md](references/testing-patterns.md)
- **Deployment**, **CloudFormation**, **CDK**, **SAM**, **log groups**, **deploy**, or **infrastructure** -> see [deployment-iac.md](references/deployment-iac.md)
- **Advanced patterns**, **GenAI agents**, **completion policies**, **step semantics**, or **custom serialization** -> see [advanced-patterns.md](references/advanced-patterns.md)
- **troubleshooting**, **stuck execution**, **failed execution**, **debug execution ID**, **execution history**, **execution error**, **why did my execution fail**, **execution timed out**, **callback not received**, **diagnose execution**, or **root cause execution** -> see [troubleshooting-executions.md](references/troubleshooting-executions.md)
Quick Reference
Basic Handler Pattern
**TypeScript:**
import { withDurableExecution, DurableContext } from '@aws/durable-execution-sdk-js';
export const handler = withDurableExecution(async (event, context: DurableContext) => {
const result = await context.step('process', async () => processData(event));
return result;
});**Python:**
from aws_durable_execution_sdk_python import durable_execution, DurableContext
@durable_execution
def handler(event: dict, context: DurableContext) -> dict:
result = context.step(lambda _: process_data(event), name='process')
return resultCritical Rules
1. **All non-deterministic code MUST be in steps** (Date.now, Math.random, API calls) 2. **Cannot nest durable operations** - use `runInChildContext` to group operations 3. **Closure mutations are lost on replay** - return values from steps 4. **Side effects outside steps repeat** - use `context.logger` (replay-aware)
Python API Differences
The Python SDK differs from TypeScript in several key areas:
- **Steps*
Read this in other languages: 日本語 Generative AI can make mistakes. You should consider reviewing all output and costs generated by your chosen AI model and agentic coding assistant. See AWS Responsible AI Policy.
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