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Modular AI Architecture: Turning Skills into Executable Sub-Agents
LangGraph4j와 Spring AI로 구현하는 고효율 모듈형 멀티 에이전트 설계
Why it matters
This architectural pattern allows developers to scale complex AI systems by encapsulating specialized logic into modular sub-agents, significantly reducing context overhead. By reusing tool-calling semantics, it provides a seamless way to build hierarchical multi-agent workflows in Java environments.
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LangGraph4jSpring AISub-agentsMulti-agent systemContext optimization