From the course: AI Challenge: Build an AI Agent in 7 Steps in 7 Days with AWS

Day 2: Give your agent real-world actions - Amazon Web Services (AWS) Tutorial

From the course: AI Challenge: Build an AI Agent in 7 Steps in 7 Days with AWS

Day 2: Give your agent real-world actions

Your agent already understands instructions and can respond to questions. Now it's time to give it the ability to interact with real systems. On day two, you'll connect your Amazon Bedrock agent to an AWS Lambda function so it can take action. Instead of only generating text, your agent will determine when a request requires a tool, which is simply an external function it can call to perform an action, such as calling an API, running business logic, or executing calculations. It will pass the appropriate inputs to that function and then incorporate the result into its response. In this challenge, the Lambda simulates a simple internal service lookup API. When your agent needs information about a service, like who owns it, who's on call, or its current status, it passes the service name to the function. The Lambda retrieves structured data and returns it in a format the agent can use in its final answer. This is a meaningful shift. When an agent can trigger logic outside of itself, it becomes part of a larger system. We'll keep the implementation focused on understanding how the agent decides to use the tool. That decision-making pattern is what matters, because you'll reuse it again and again in more advanced use cases. Let's get started. It will act. By the end of today, your agent will do more than respond.

Contents