Building Autonomous AI Agents with Amazon Bedrock in 2025

AI agents are the next frontier. At re:Invent 2025, AWS announced major upgrades to Bedrock Agents, including multi-agent collaboration and the ability to run autonomously for days. Here’s how to build production-ready agents.
What’s New in Bedrock Agents
- Multi-agent collaboration: Agents can delegate tasks to specialized sub-agents
- Extended autonomy: Agents can work independently for hours or days
- Nova Act: Browser automation with 90%+ reliability
- DevOps Agent: Autonomous incident response
Creating a Bedrock Agent
import boto3
bedrock_agent = boto3.client('bedrock-agent')
# Create an agent
response = bedrock_agent.create_agent(
agentName='customer-support-agent',
foundationModel='amazon.nova-pro-v1:0',
instruction="""
You are a customer support agent. You can:
1. Look up order status
2. Process returns
3. Answer product questions
Always be helpful and professional.
""",
idleSessionTTLInSeconds=600
)
agent_id = response['agent']['agentId']
Adding Action Groups (Tools)
# Define Lambda function for order lookup
def lambda_handler(event, context):
action = event['actionGroup']
api_path = event['apiPath']
parameters = event['parameters']
if api_path == '/orders/{orderId}':
order_id = parameters[0]['value']
# Look up order in database
order = get_order(order_id)
return {
'response': {
'actionGroup': action,
'apiPath': api_path,
'responseBody': {
'TEXT': {'body': json.dumps(order)}
}
}
}
# Attach action group to agent
bedrock_agent.create_agent_action_group(
agentId=agent_id,
actionGroupName='OrderManagement',
actionGroupExecutor={
'lambda': 'arn:aws:lambda:us-east-1:123456789:function:order-lookup'
},
apiSchema={
's3': {
's3BucketName': 'my-schemas',
's3ObjectKey': 'order-api.json'
}
}
)
Multi-Agent Architecture
Supervisor Pattern
Create a supervisor agent that delegates to specialized agents:
- Supervisor: Routes requests, manages workflow
- Research Agent: Searches knowledge bases
- Action Agent: Executes transactions
- QA Agent: Validates responses
AWS DevOps Agent
One of the most exciting announcements: an autonomous on-call engineer that:
- Monitors CloudWatch alarms
- Analyzes logs across services
- Correlates data from GitHub, ServiceNow
- Identifies root causes
- Suggests or implements fixes
This represents the future: AI agents that can manage infrastructure autonomously while humans focus on strategy.