Guide outlines key steps for deploying AI agents in Java enterprise systems

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AI agents, which can reason and execute workflows, are increasingly being integrated into Java-based enterprise applications. Deploying these agents in production environments requires careful consideration of architecture, security, and reliability. A typical architecture involves an LLM for reasoning, orchestration for workflow management, and layers for tool integration, data retrieval, and observability. Java developers can utilize frameworks like Spring AI or LangChain4j to connect LLMs with existing enterprise services. This integration aims to enhance the intelligence and capability of applications in sectors such as banking and healthcare.

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