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aws-lambda-durable-functions

/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 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.

Licence
Apache-2.0
Last repository change
09.10.2026

Assessment and security

100/ 100Class: good
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Frontmatter with name and description, valid name, description up to 1,024 characters, name matching the folder.
Discoverability25 / 25
Description explains when to use the skill, has a reasonable length and uses third person.
Content35 / 35
At least 150 words and at most 500 lines, headings, step lists, examples or code.
Hygiene15 / 15
No placeholders such as TODO, no Windows paths, with a licence.
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Deprecation

No signals detected. Repository changed on 09.10.2026, without references to retired models or APIs.

Licence

Apache-2.0, otwarta: można używać i zmieniać, z zachowaniem licencji i informacji o zmianach.

What it does and when to use it

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.

Original author 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.

How it works

  1. Onboarding
  2. When to Load Reference Files
  3. Quick Reference
  4. IAM Permissions
  5. Validation Guidelines
  6. Resources
Original SKILL.md headings · 200 lines, 969 words
SKILL.md preview
---
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:

   ```bash
   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:**

```bash
npm install @aws/durable-execution-sdk-js
npm install --save-dev @aws/durable-execution-sdk-js-testing
```

**For Python:**

```bash
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:**

```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:**

```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 result
```

### Critical 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**: Use `@durable_step` decorator + `context.step(my_step(args))`, or inline `context.step(lambda _: ..., name='...')`. Prefer the decorator for automatic step naming.
- **Wait**: `context.wait(duration=Duration.from_seconds(n), name='...')`
- **Exceptions**: `ExecutionError` (permanent), `InvocationError` (transient), `CallbackError` (callback failures)
- **Testing**: Use `DurableFunctionTestRunner` class directly - instantiate with handler, use context manager, call `run(input=...)`

### Invocation Requirements

Durable functions **require qualified ARNs** (version, alias, or `$LATEST`):

```bash
# Valid
aws lambda invoke --function-name my-function:1 output.json
aws lambda invoke --function-name my-function:prod output.json

# Invalid - will fail
aws lambda invoke --function-name my-function output.json
```

## IAM Permissions

Your Lambda execution role MUST have the `AWSLambdaBasicDurableExecutionRolePolicy` managed policy attached. This includes:

- `lambda:CheckpointDurableExecution` - Persist execution state
- `lambda:GetDurableExecutionState` - Retrieve execution state
- CloudWatch Logs permissions

**Additional permissions needed for:**

- **Durable invokes**: `lambda:InvokeFunction` on target function ARNs
- **External callbacks**: Systems need `lambda:SendDurableExecutionCallbackSuccess` and `lambda:SendDurableExecutionCallbackFailure`

## Validation Guidelines

When writing or reviewing durable function code, ALWAYS check for these replay model violations:

1. **Non-deterministic code outside steps**: `Date.now()`, `Math.random()`, UUID generation, API calls, database queries must all be inside steps
2. **Nested durable operations in step functions**: Cannot call `context.step()`, `context.wait()`, or `context.invoke()` inside a step function — use `context.runInChildContext()` instead
3. **Closure mutations that won't persist**: Variables mutated inside steps are NOT preserved across replays — return values from steps instead
4. **Side effects outside steps that repeat on replay**: Use `context.logger` for logging (it is replay-aware and deduplicates automatically)

When implementing or modifying tests for durable functions, ALWAYS verify:

1. All operations have descriptive names
2. Tests get operations by NAME, never by index
3. Replay behavior is tested with multiple invocations
4. Use `LocalDurableTestRunner` for local testing

### MCP Server Configuration

**Write access is enabled by default.** The plugin ships with `--allow-write` in `.mcp.json`, so the MCP server can create projects, generate IaC, and deploy on behalf of the user.

Access to sensitive data (like Lambda and API Gateway logs) is **not** enabled by default. To grant it, add `--allow-sensitive-data-access` to `.mcp.json`.

## Resources

- [AWS Lambda durable functions Documentation](https://docs.aws.amazon.com/lambda/latest/dg/durable-functions.html)
- [JavaScript SDK Repository](https://github.com/aws/aws-durable-execution-sdk-js)
- [Python SDK Repository](https://github.com/aws/aws-durable-execution-sdk-python)
- [IAM Policy Reference](https://docs.aws.amazon.com/aws-managed-policy/latest/reference/AWSLambdaBasicDurableExecutionRolePolicy.html)
Files in this package (12)
  • SKILL.md 9 KB
  • references/advanced-error-handling.md 5 KB
  • references/advanced-patterns.md 10 KB
  • references/concurrent-operations.md 8 KB
  • references/deployment-iac.md 14 KB
  • references/error-handling.md 11 KB
  • references/getting-started.md 11 KB
  • references/replay-model-rules.md 8 KB
  • references/step-operations.md 7 KB
  • references/testing-patterns.md 17 KB
  • references/troubleshooting-executions.md 8 KB
  • references/wait-operations.md 10 KB

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This page · awslabs/agent-plugins100Apache-2.0
aws/agent-toolkit-for-aws100Apache-2.0
420company/artemis95MIT

Database snapshot: 13.11.2026 · package version 346eab4ae253 (SHA-256 digest of the entire package)

Downloads in the last 30 days: 0 · ranking

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