Eval Suite
An eval suite is a collection of tests and metrics used to measure an AI system's accuracy, robustness, and failure modes on representative tasks.
Category
Agent Evaluation and Safety
These practices help teams evaluate reliability and reduce failure modes when agents call tools or execute workflows.
How to recognize this theme
Terms used when testing tool-using AI systems before launch.
In a daily board, this category groups terms by their shared role. Look for four cards that describe the same mechanism, risk area, or workflow rather than four words that merely sound similar.
Educational context
These entries are vocabulary notes for learning. They are not project endorsements, token recommendations, exchange rankings, or trading signals.
Sandboxing
Sandboxing is running an agent or tool in a restricted environment with limited permissions to reduce the impact of mistakes or malicious outputs.
Rate Limiting
Rate limiting caps how often an agent or API can act over time, helping prevent runaway loops, abuse, or accidental overload.
Structured Output
Structured output is when a model produces responses in a constrained schema (like JSON), making downstream parsing, validation, and safety checks more reliable.