Implementing Middleware for Amazon Bedrock Agents (Python)

Implementing Middleware for Amazon Bedrock Agents (Python)

This guide explains how to implement middleware for Amazon Bedrock Agents to add custom logic for tasks like authentication, logging, and caching.

1. What is Middleware?

Middleware is software that sits between your application and the Bedrock Agent, allowing you to intercept and process requests and responses.

Use Cases:

• Authentication and Authorization: Verify user identity and permissions before invoking an agent.
• Logging and Auditing: Log all agent interactions for security and compliance.
• Caching: Cache frequent requests to reduce latency and cost.
• Request/Response Transformation: Modify requests before they reach the agent and responses before they are returned to the user.

2. Middleware Architecture

                                  ┌───────────────────┐
                                  │ Middleware        │
                                  ├───────────────────┤
┌──────────┐      ┌───────────┐   │ - Authentication  │   ┌────────────────┐
│          │      │           │   │ - Logging         │   │                │
│  User    ├─────►│  API      ├─► │ - Caching         ├─► │  Bedrock Agent │
│          │      │  Gateway  │   │ - Transformation  │   │                │
└──────────┘      └───────────┘   │                   │   └────────────────┘
                                  └───────────────────┘

3. Implementation with API Gateway and Lambda

You can implement middleware using Amazon API Gateway and AWS Lambda.

Steps:

1. Create a Lambda function that contains your middleware logic.
2. Create an API Gateway that triggers the Lambda function.
3. Configure the API Gateway to forward requests to the Bedrock Agent.

Example Lambda Middleware (Python):

import json
import boto3

bedrock_runtime = boto3.client('bedrock-runtime')

def middleware_handler(event, context):
    # 1. Authentication
    #    - Get the user's identity from the request headers
    #    - Verify the user's credentials
    #    - Check if the user has permission to invoke the agent

    # 2. Logging
    #    - Log the incoming request

    # 3. Caching
    #    - Check if the request is already in the cache
    #    - If so, return the cached response
    #    - If not, proceed to the next step

    # 4. Invoke the Bedrock Agent
    response = bedrock_runtime.invoke_agent(
        agentId='YOUR_AGENT_ID',
        # ...
    )

    # 5. Logging
    #    - Log the agent's response

    # 6. Caching
    #    - Store the response in the cache

    # 7. Return the response to the user
    return {
        'statusCode': 200,
        'body': json.dumps(response)
    }