To use Amazon Nova models as the foundation model in an AI agent, you can use Amazon Bedrock Agents or you can call a tool with the Converse API or InvokeModel API. Amazon Bedrock Agents is a fully managed service that you can use to build and configure autonomous agents in your application. You can also use the converse API and Invoke model API to connect to other out-of-the-box agent frameworks or build your own agent framework.
You can use placeholder variables in agent prompt templates. The variables will be populated by pre-existing configurations when the prompt template is called. For information about these placeholder variables, see Use placeholder variables in Amazon Bedrock agent prompt templates.
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Using Amazon Nova with Amazon Bedrock agents
Amazon Nova models are enabled in Bedrock Agents and follow the user instructions of Amazon Bedrock Agents. Amazon Bedrock Agents is preconfigured with key features and prompts in order to work effectively with the Amazon Nova models. These configurations enable you to leverage key features of Amazon Bedrock Agents with minimal effort:
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Autonomous Agents: Amazon Bedrock Agents allow for the creation of autonomous agents that can perform tasks based on user input and organizational data without requiring extensive custom coding. This can save you significant time and effort.
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Built-in API Invocation: Amazon Bedrock Agents automatically handle API calls to fulfill user requests, which simplifies the integration of external services and data sources.
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Memory and Context Management: Agents can maintain context, conversation and memory across interactions, allowing for more personalized and coherent conversations over time.
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Knowledge Base Integration: You can associate a knowledge base with the agent to enhance its performance and accuracy, enabling it to provide more relevant responses based on stored information.
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Prompt Engineering and Customization: Amazon Bedrock Agents support advanced prompt engineering, allowing developers to customize the agent's behavior and responses to better fit specific use cases.
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Code Interpreter: The code interpretation enables your agent to generate, run, and troubleshoot your application code in a secure test environment.
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Multi-Agent Collaboration: Build, deploy, and manage multiple AI agents working together on complex multi-step tasks that require specialized skills.
Using Amazon Nova with the Invoke and Converse API
It's also possible to leverage Tool use (function calling) with Amazon Nova with Invoke and Converse APIs to integrate Amazon Nova models with open source or build custom AI Agent frameworks. This allows for great flexibility but it's important to note that using the API directly means some aspects are left for your implementation or library to handle:
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Store Conversation/User Data: The Converse API does not retain any user inputs or generated content, which means your agent cannot remember past interactions. You need to pass all the past messages every time you invoke the model.
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Automatic Tool Invocation: You, as the developer, are responsible for implementing the tool based on the model's request. This means you need to execute or write the code that executes the tool's functionality and processes the input parameters provided by the model. After executing the tool, you must send the results back to the model in a structured format.
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Built-in Memory: The API lacks built-in memory capabilities, meaning your agent cannot remember user preferences or past interactions over time, which could limit personalization.
