Agent Evaluation appears in agentic AI architectures where models decide actions and interact with tools or users. It helps teams reason about control flow, reliability, permissions, and evaluation of autonomous behavior.
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Agent Evaluation
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Agent Evaluation appears in agentic AI architectures where models decide actions and interact with tools or users. It helps teams reason about control flow, reliability, permissions, and evaluation of autonomous behavior.
Definition
Plain English explanation
Agent Evaluation matters when designing agentic LLM applications that take actions.
Related glossary terms
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Sources
- NIST AI Risk Management Framework — risk vocabulary context for AI systems
- Brel Digital company and technology profiles — applied usage evidence where tagged
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