Serverless Agentic Workflows with AWS Bedrock & CDK in Python

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Learn how to build an AI Agent using Python with AWS serverless and managed components. This project demonstrates agentic workflows using AWS Bedrock and the AWS Cloud Development Kit (CDK).

🔗 Reference: Serverless Agentic Workflows with AWS Bedrock & CDK in Python

You Should Know:

1. Prerequisites

  • AWS Account with permissions for Bedrock, Lambda, API Gateway, and CDK
  • Python 3.9+
  • AWS CLI configured (aws configure)
  • CDK installed (npm install -g aws-cdk)

2. Setting Up AWS CDK

Initialize a new CDK project:

mkdir aws-bedrock-agent 
cd aws-bedrock-agent 
cdk init app --language python 
source .venv/bin/activate 
pip install -r requirements.txt

3. Deploying AWS Bedrock

Define a Bedrock model in `cdk_stack.py`:

from aws_cdk import ( 
aws_bedrock as bedrock, 
core 
)

class BedrockAgentStack(core.Stack): 
def <strong>init</strong>(self, scope: core.Construct, id: str, kwargs) -> None: 
super().<strong>init</strong>(scope, id, kwargs)

Define Bedrock Agent 
bedrock.CfnAgent( 
self, "AIAgent", 
agent_name="PythonAgent", 
foundation_model="anthropic.claude-v2" 
)

4. Deploying Serverless Components

Add Lambda and API Gateway:

from aws_cdk import ( 
aws_lambda as lambda_, 
aws_apigateway as apigw 
)

Lambda Function 
agent_lambda = lambda_.Function( 
self, "AgentHandler", 
runtime=lambda_.Runtime.PYTHON_3_9, 
handler="agent.handler", 
code=lambda_.Code.from_asset("lambda") 
)

API Gateway 
apigw.LambdaRestApi( 
self, "AgentAPI", 
handler=agent_lambda 
)

5. Deploying the Stack

cdk synth 
cdk deploy

6. Testing the AI Agent

Invoke the API Gateway endpoint:

curl -X POST https://<api-id>.execute-api.<region>.amazonaws.com/prod/agent

What Undercode Say

AWS Bedrock simplifies AI agent deployment, while CDK streamlines infrastructure as code. Combining serverless components (Lambda, API Gateway) with Bedrock accelerates AI-driven workflows. Future enhancements could include fine-tuning models and integrating AWS Step Functions for complex workflows.

Prediction

AI agents will increasingly leverage serverless architectures, reducing operational overhead while improving scalability. AWS Bedrock will dominate as a preferred choice for enterprise AI deployments.

Expected Output:

✅ AWS Bedrock Agent deployed

✅ Lambda function integrated with API Gateway

✅ CDK-managed infrastructure

✅ AI Agent accessible via REST API

References:

Reported By: Darryl Ruggles – Hackers Feeds
Extra Hub: Undercode MoN
Basic Verification: Pass ✅

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