From the course: Agentic AI Architecture Foundations: Designing Autonomous AI Systems
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Agentic AI system monitors
From the course: Agentic AI Architecture Foundations: Designing Autonomous AI Systems
Agentic AI system monitors
Autonomous AI agents can routinely perform a variety of complex tasks with many moving parts being active at any given time. Depending on the agent type and the extent of its activities, a given agent may need to rely upon a range of different monitors that are constantly tracking, reporting, and sometimes even responding to its activity. In this video, we'll provide a fast-paced overview of primary monitors so that we can get a sense of how they can fit into an overall architecture. It's important to understand that the monitors we're about to cover are all associated with individual agents. Depending on the agent type and its complexity, a single agent architecture can encompass some or all of these monitors. Let's begin with the operational monitors, which basically keep track of an agent's performance, its resource utilization, and how effective it is behaving within its environment. Let's begin with the performance monitor, which tracks the agent's progress toward its goals, its…
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