AWS blog shows how to build Java AI agents with Bedrock and Spring AI
Overview
The AWS Machine Learning Blog publishes a guide to building autonomous AI agents in Java using Amazon Bedrock and Spring AI, with the spring-ai-agentcore library.
The post covers tool calling and multi-turn memory, and walks through a single-agent travel assistant and a multi-agent intelligent document processing system. It requires JDK 21 and Spring Boot 4.1.
According to the post, the main variable cost is Amazon Bedrock token usage, plus a small amount for Amazon CloudWatch and Amazon ECR storage.
Written by AI from the articles below · updated Nov 11, 8:30 PM ET
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- AWS Machine Learning BlogOfficialAmazon explains how to build autonomous Java AI agents with Amazon Bedrock and Spring AI
AIAmazon's AWS Machine Learning Blog shows how Java teams can build autonomous AI agents using Amazon Bedrock and Spring AI, with tool calling and multi-turn memory. The post walks through a single-agent travel assistant and a multi-agent intelligent document processing system built on spring-ai-agentcore, requiring JDK 21 and Spring Boot 4.1. Amazon's main variable cost is Bedrock token usage, plus a small amount for CloudWatch and ECR storage.
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