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title
AI Agent Observability Explained: Key Concepts and Standards
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AI agent observability has become a critical discipline for organizations deploying autonomous AI systems at scale. This guide explores the emerging standards and best practices for monitoring, analyzing, and improving AI agent performance in enterprise environments.What is an AI agentAn AI agent is an application that uses a combination of Large Language Model (LLM) capabilities, tools to connect to the external world, and high-level reasoning to achieve specific goals autonomously. For more details, see Google: What is an AI agent? and IBM: What are AI agents?. Alternatively, agents can be defined as systems where LLMs dynamically direct their own processes and tool usage, maintaining control over how they accomplish tasks.AI agents differ from simple LLM applications by their ability to:Make complex decisions based on context and feedbackUse tools and APIs to interact with external systemsPlan multi-step sequences to achieve goalsMaintain state and memory across interactionsSelf-cor...
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