New serverless pattern - appsync websockets with lambda and bedrock

apigw-ws-lambda-bedrock-sam/.gitignore

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+node_modules/
+.aws-sam/

apigw-ws-lambda-bedrock-sam/README.md

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+# AI Chat Application using Amazon API Gateway (WebSockets), AWS Lambda, and Amazon Bedrock.
+
+This serverless architecture enables real-time AI chat using AWS services. A WebSocket Amazon API Gateway maintains persistent connections between clients and a Node.js AWS Lambda function. The AWS Lambda function handles user connections/disconnections, stores connection IDs in Amazon DynamoDB, and processes messages through an Amazon Bedrock LLM. The system includes error handling, automatic scaling, and pay-per-use pricing. The AWS SAM template provisions all necessary resources and IAM permissions, outputting a WebSocket URL for client connections.
+
+
+Learn more about this pattern at [Serverless Land Patterns](https://serverlessland.com/patterns/apigw-websockets-lambda-bedrock-sam)
+
+Important: this application uses various AWS services and there are costs associated with these services after the Free Tier usage - please see the [AWS Pricing page](https://aws.amazon.com/pricing/) for details. You are responsible for any AWS costs incurred. No warranty is implied in this example.
+
+## Prerequisites
+
+* [Create an AWS account](https://portal.aws.amazon.com/gp/aws/developer/registration/index.html) if you do not already have one and log in. The IAM user that you use must have sufficient permissions to make necessary AWS service calls and manage AWS resources.
+* [AWS CLI](https://docs.aws.amazon.com/cli/latest/userguide/install-cliv2.html) installed and configured
+* [Git Installed](https://git-scm.com/book/en/v2/Getting-Started-Installing-Git)
+* [AWS Serverless Application Model](https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html) (AWS SAM) installed
+* [NOTE! Manage Access to Amazon Bedrock Foundation Models](https://docs.aws.amazon.com/bedrock/latest/userguide/model-access.html)
+
+
+## Deployment Instructions 
+1. Create a new directory, navigate to that directory in a terminal and clone the GitHub repository:
+    ``` 
+    git clone https://github.com/aws-samples/serverless-patterns
+    ```
+2. Change directory to the pattern directory:
+    ```
+    cd apigw-websockets-lambda-bedrock-sam
+    ```
+3. Install dependencies
+    ```
+    cd src && npm install && cd ..
+    ```    
+4. From the command line, use AWS SAM build to prepare an application for subsequent steps in the developer workflow, such as local testing or deploying to the AWS Cloud:
+    ```
+    sam build
+    ```    
+5. From the command line, use AWS SAM to deploy the AWS resources for the pattern as specified in the template.yml file:
+    ```
+    sam deploy --guided
+    ```
+6. During the prompts:
+    * Enter a stack name
+    * Enter the desired AWS Region
+    * Enter the desired BedrockRegion
+    * Enter the desired BedrockModelId
+    * Allow SAM to create roles with the required permissions if needed.
+
+7. Note the outputs **WebSocket URL** from the SAM deployment process. 
+These contain the resource names and/or ARNs which are used for testing.
+```bash
+wss://<YOUR-WebSocket-URL>.execute-api.<YOUR-AWS-Region>.amazonaws.com/prod
+```
+
+## Architecture
+![apigw-1](images/apigw-ws-lambda-bedrock.png)
+
+
+## How it Works
+WebSocket API Gateway serves as the entry point, enabling bidirectional real-time communication between clients and the backend. It handles three routes:
+* $connect - when users join the chat
+* $disconnect - when users leave
+* $default - for processing chat messages
+
+Lambda Function (Node.js 22.x) acts as the central orchestrator, handling all WebSocket events and business logic. It manages connection lifecycle, processes user messages, and coordinates with other AWS services.
+DynamoDB Table stores active WebSocket connection IDs, enabling the system to track which users are currently connected and send responses back to the correct clients.
+Amazon Bedrock provides AI capabilities using Claude 3 Sonnet model, processing user messages and generating intelligent responses.
+
+Data Flow:
+1. Connection: When a user connects, their connection ID is stored in DynamoDB
+2. Message Processing: User sends a message through WebSocket → Lambda receives it → Extracts message content → Sends to Bedrock Claude model
+3. AI Response: Bedrock processes the message and returns an AI-generated response
+4. Real-time Delivery: Lambda sends the AI response back to the user via WebSocket connection
+5. Disconnection: When user disconnects, their connection ID is removed from DynamoDB
+
+## Testing
+
+### Interactive Web Interface
+```
+To use the test interface:
+1. Deploy the application using SAM
+2. Copy the WebSocket URL from the deployment outputs
+3. Open 'test.html' and update the 'WS_URL' variable with your WebSocket URL and AWS Region
+wss://<YOUR-WebSocket-URL>.execute-api.<YOUR-AWS-Region>.amazonaws.com/prod
+4. Save 'test.html'
+5. Open the HTML file in a browser
+6. Click "Connect" to establish a WebSocket connection
+7. Type your message and click "Send"
+8. When complete Click "Disconnect"
+```
+
+### Command Line (wscat)
+```bash
+npm install -g wscat
+wscat -c wss://your-api-id.execute-api.your-region.amazonaws.com/prod
+# Then send: {"data": "What is AWS Lambda?"}
+```
+
+## Cleanup
+1. Delete the stack
+    ```bash
+    sam delete
+    ```
+2. Confirm the stack has been deleted
+    ```bash
+    aws cloudformation list-stacks --query "StackSummaries[?contains(StackName,'STACK_NAME')].StackStatus"
+    ```
+----
+Copyright 2025 Amazon.com, Inc. or its affiliates. All Rights Reserved.
+
+SPDX-License-Identifier: MIT-0

apigw-ws-lambda-bedrock-sam/example-pattern.json

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+{
+  "title": "AI Chat with Amazon API Gateway (WebSockets), AWS Lambda, and Amazon Bedrock.",
+
+  "description": "WebSocket-Enabled AI Chat Using AWS Services.",
+
+  "language": "",
+  "level": "200",
+  "framework": "SAM",
+  "introBox": {
+    "headline": "How it works",
+    "text": [
+      "This serverless architecture enables real-time AI chat using AWS services. A WebSocket Amazon API Gateway maintains persistent connections between clients and a Node.js AWS Lambda function.",
+      "The AWS Lambda function handles user connections/disconnections, stores connection IDs in Amazon DynamoDB, and processes messages through an Amazon Bedrock LLM.",
+      "The system includes error handling, automatic scaling, and pay-per-use pricing.",
+      "The AWS SAM template provisions all necessary resources and IAM permissions, outputting a WebSocket URL for client connections."
+    ]
+  },
+  "gitHub": {
+    "template": {
+      "repoURL": "https://github.com/aws-samples/serverless-patterns/tree/main/apigw-websockets-lambda-bedrock-sam",
+      "templateURL": "serverless-patterns/apigw-websockets-lambda-bedrock-sam",
+      "projectFolder": "apigw-websockets-lambda-bedrock-sam",
+      "templateFile": "template.yml"
+    }
+  },
+  "resources": {
+    "bullets": [
+      {
+        "text": "Amazon API Gateway",
+        "link": "https://aws.amazon.com/api-gateway/"
+      },
+      {
+        "text": "Amazon API Gateway WebSocket APIs",
+        "link": "https://docs.aws.amazon.com/apigateway/latest/developerguide/apigateway-websocket-api.html"
+      },
+      {
+        "text": "AWS Lambda",
+        "link": "https://aws.amazon.com/lambda/"
+      },
+      {
+        "text": "Amazon Bedrock",
+        "link": "https://aws.amazon.com/bedrock/"
+      }
+    ]
+  },
+  "deploy": {
+    "text": [
+      "sam deploy"
+    ]
+  },
+  "testing": {
+    "text": [
+      "See the GitHub repo for detailed testing instructions."
+    ]
+  },
+  "cleanup": {
+    "text": [
+      "<code>sam delete</code>"
+    ]
+  },
+  "authors": [
+    {
+      "name": "Mike Hume",
+      "image": "https://media.licdn.com/dms/image/D4E03AQEiUfmBiUOw_A/profile-displayphoto-shrink_200_200/0/1718324029612?e=1727308800&v=beta&t=ybhm76l-CP5xcUsHbdq2IaJOlfyycvQ6gNwuCSd3Z0w",
+      "bio": "AWS Senior Solutions Architect & UKPS Serverless Lead.",
+      "linkedin": "michael-hume-4663bb64",
+      "twitter": ""
+    }
+  ]
+}

apigw-ws-lambda-bedrock-sam/src/app.js

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+import { DynamoDBClient } from '@aws-sdk/client-dynamodb';
+import { DynamoDBDocumentClient, PutCommand, DeleteCommand } from '@aws-sdk/lib-dynamodb';
+import { ApiGatewayManagementApiClient, PostToConnectionCommand } from '@aws-sdk/client-apigatewaymanagementapi';
+import { BedrockRuntimeClient, InvokeModelCommand } from '@aws-sdk/client-bedrock-runtime';
+
+const ddbClient = new DynamoDBClient({});
+const ddb = DynamoDBDocumentClient.from(ddbClient);
+// Bedrock client using region from environment variable
+const bedrock = new BedrockRuntimeClient({ region: process.env.BEDROCK_REGION });
+
+export const handler = async (event) => {
+  const { routeKey, connectionId } = event.requestContext;
+  const tableName = process.env.CONNECTIONS_TABLE;
+
+  try {
+    switch (routeKey) {
+      case '$connect':
+        await ddb.send(new PutCommand({
+          TableName: tableName,
+          Item: { connectionId }
+        }));
+        return { statusCode: 200 };
+
+      case '$disconnect':
+        await ddb.send(new DeleteCommand({
+          TableName: tableName,
+          Key: { connectionId }
+        }));
+        return { statusCode: 200 };
+
+      case '$default':
+        const message = JSON.parse(event.body || '{}');
+        const userMessage = message.data || 'Hello';
+
+        const apiGw = new ApiGatewayManagementApiClient({
+          endpoint: `https://${event.requestContext.domainName}/${event.requestContext.stage}`
+        });
+
+        try {
+          // Invoke Bedrock Claude model
+          const bedrockResponse = await bedrock.send(new InvokeModelCommand({
+            modelId: process.env.BEDROCK_MODEL_ID,
+            body: JSON.stringify({
+              anthropic_version: 'bedrock-2023-05-31',
+              max_tokens: 1000,
+              messages: [{
+                role: 'user',
+                content: userMessage
+              }]
+            })
+          }));
+
+          const responseBody = JSON.parse(new TextDecoder().decode(bedrockResponse.body));
+          const aiResponse = responseBody.content[0].text;
+
+          await apiGw.send(new PostToConnectionCommand({
+            ConnectionId: connectionId,
+            Data: JSON.stringify({ message: aiResponse })
+          }));
+        } catch (bedrockError) {
+          console.error('Bedrock error:', bedrockError);
+          await apiGw.send(new PostToConnectionCommand({
+            ConnectionId: connectionId,
+            Data: JSON.stringify({ 
+              message: `Sorry, I'm having trouble connecting to the AI service. Please try again in a moment.` 
+            })
+          }));
+        }
+
+        return { statusCode: 200 };
+
+      default:
+        return { statusCode: 400, body: 'Unknown route' };
+    }
+  } catch (error) {
+    console.error('Error:', error);
+    return { statusCode: 500, body: JSON.stringify({ error: error.message }) };
+  }
+};

apigw-ws-lambda-bedrock-sam/src/package.json

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+{
+  "name": "websocket-handler",
+  "version": "1.0.0",
+  "type": "module",
+  "dependencies": {
+    "@aws-sdk/client-dynamodb": "^3.0.0",
+    "@aws-sdk/lib-dynamodb": "^3.0.0",
+    "@aws-sdk/client-apigatewaymanagementapi": "^3.0.0",
+    "@aws-sdk/client-bedrock-runtime": "^3.0.0"
+  }
+}