At the Build conference, Microsoft introduced Agent Loop, a pivotal feature for developing AI agents within Azure Logic Apps, allowing seamless integration with enterprise workflows. This new function helps create various agents, such as those for loan approval or customer support. The AI agents utilize a 'Think, Act, and Learn' cycle to refine their actions based on real-time data and the extensive library of over 1,400 connectors available through Logic Apps, facilitating rich context and reliable responses in enterprise systems.
With over 1,400 connectors, Logic Apps is uniquely positioned to power AI Agents with rich context and seamless access to enterprise systems and APIs, enabling them to reason and act reliably.
Agent loop operates through an iterative 'Think, Act, and Learn cycle.' The AI agent reasons about its goal and context, takes action by invoking connectors, and then reflects on the results to adjust its plan if needed.
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