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aws-lambda-durable-functionsAWS lambda durable functions 部署

Agent Skill

用于辅助云资源、部署、容器、基础设施和运维自动化任务。它适合让 Agent 检查配置、整理部署步骤、分析资源状态、生成排障思路或辅助云服务接入。使用时需要明确目标环境、账号权限、区域和资源组,区分本地测试与生产操作;涉及删除资源、重启服务、修改网络或权限配置时,应先确认影响范围。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

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来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:aws-lambda-durable-functions(AWS lambda durable functions 部署)
来源仓库:https://github.com/awslabs/agent-plugins
仓库路径:skills/aws-lambda-durable-functions
安装命令:
npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda-durable-functions
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/awslabs/agent-plugins --skill aws-lambda-durable-functions

简介

用于构建支持长时间运行且具备容错能力的多步骤应用与 AI 工作流。

  • 它适合让 Agent 设计可中断恢复的流程、配置状态持久化和事件驱动架构。
  • 使用时需要验证 AWS CLI 版本、运行时环境和 Durable Execution SDK 可用性。
  • 安装需通过 npx skills add 命令从 awslabs/agent-plugins 仓库添加 aws-lambda-durable-functions 技能。
  • 涉及长时间执行的任务需确认账户限制(最长运行一年)及检查点机制是否满足业务需求。

SKILL.md

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.)

  1. 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:

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 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):

# 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.

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