Generative AI, large language model (LLMS), and the formation of multi -agent Orchestation have given rise to the concept of a change: Compound AI system. These architecture go beyond individual models or assistants, representing the environmental system of intelligent agents that cooperate to provide business results on a scale. Since businesses pursue hypertoviation, permanent correction and personal engagement, designing agent workflows becomes an important discrimination.
This article has inspected the design of the Compound AI System with emphasisModular AI agentSafe orchestration, real time data integration, and enterprise governance. Its purpose is to provide practical blueprints for the construction and scaling of intelligent agent environmental systems in various domains, including customer service, IT operations, marketing, and field automation, to provide solutions to the construction and scaling of intelligent agent environmental systems.
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