AWS Tutorial: Building Java AI Agents with Spring AI and Bedrock
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AWS published a tutorial showing Java teams how to build autonomous AI agents using Spring AI and Amazon Bedrock's AgentCore, connected through a spring-ai-agentcore integration. It walks through two reference systems: a single-agent travel assistant with tool calling and memory, and a multi-agent document-processing platform with five specialist agents, a rules engine and alerting. The stack requires JDK 21 and Spring Boot 4.1 with Spring AI 2.0 and spring-ai-agentcore 2.0, and deploys through the AgentCore runtime on ARM64 containers. According to AWS, the AgentCore runtime scales to zero and bills per invocation, so an idle agent costs almost nothing; the main variable cost is Amazon Bedrock token usage, plus small amounts for CloudWatch and ECR storage.
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- AWS Machine Learning BlogBuild autonomous AI agents with Amazon Bedrock and Spring AI
AWS shows Java teams how to build autonomous AI agents using Spring AI and Amazon Bedrock's AgentCore, with a spring-ai-agentcore integration. Two reference systems are detailed: a single-agent travel assistant with tool calling and memory, and a multi-agent intelligent document processing platform with five specialist agents, a rules engine, and alerting. The stack requires JDK 21, Spring Boot 4.1 with Spring AI 2.0, and deploys via AgentCore runtime on ARM64 containers.
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