Building AI agents with Amazon Nova
Note
This documentation is for Amazon Nova Version 1. For information about how to build AI agents with Amazon Nova 2, visit Building AI agents.
An AI agent helps your end-users complete actions based on organization data and user input. Agents orchestrate interactions between foundation models (FMs), data sources, software applications, and user conversations. In addition, agents automatically call APIs to take actions and invoke knowledge bases to supplement information for these actions. Developers can save weeks of development effort by integrating agents to accelerate the delivery of generative artificial intelligence (generative AI) applications .
With agents, you can automate tasks for your customers and answer questions for them. For example, you can create an agent that helps customers process insurance claims or an agent that helps customers make travel reservations. You don't have to provision capacity, manage infrastructure, or write custom code. Amazon Nova manages prompt engineering, memory, monitoring, encryption, user permissions, and API invocation.
For information on building AI agents in Amazon Bedrock, see Bedrock Agents.
Agents perform the following tasks:
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Extend foundation models to understand user requests and break down the tasks that the agent must perform into smaller steps.
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Collect additional information from a user through natural conversation.
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Take actions to fulfill a customer's request by making API calls to your company systems.
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Augment performance and accuracy by querying data sources.
Topics
Using Amazon Nova with AgentCore
Amazon Nova models can be used with all Bedrock AgentCore services, enabling you to deploy and operate highly effective agents securely, at scale. Key Services include Runtime, Identity, Memory, Gateway, and Observability. See Amazon Bedrock AgentCore for additional details and {placeholder} for sample code.
The following is an example of using Amazon Nova with AgentCore:
import boto3 from strands.models import BedrockModel # Create a Bedrock model with the custom session bedrock_model = BedrockModel( model_id="model_id", boto_session=session )
Using Amazon Nova with Strands
Strands provides native support for Amazon Bedrock, allowing you to use these Nova models in your agents with minimal configuration. See Strands Amazon Bedrock for more details.
The following is a code example showing how to use Strands with Amazon Nova:
from strands import Agent from strands.models import BedrockModel # Create a Bedrock model instance bedrock_model = BedrockModel( model_id="us.amazon.nova-premier-v1:0", temperature=0.3, top_p=0.8, ) # Create an agent using the BedrockModel instance agent = Agent(model=bedrock_model) # Use the agent response = agent("Tell me about Amazon Bedrock.")
Additional Resources
