Modularizing AI Agents: SubAgents-as-Tools with LangChain and AWS Bedrock

As AI systems grow more complex, building monolithic agents becomes increasingly difficult to maintain and debug. SubAgents-as-Tools architecture addresses this by breaking down complex tasks into smaller, specialized agents that operate as callable functions, enabling better modularity, easier error isolation, and seamless scalability. This approach transforms how teams design, deploy, and monitor multi-agent systems in production environments.