Agent Evaluation

Establish empirical benchmark suites, calibrated multi-dimensional scoring rubrics, automated evaluation harnesses, and standardized failure taxonomies to validate agent reliability before production deployment.

When to Use

• Benchmarking agent performance across prompt adjustments or model version migrations
• Quantifying regression risk during skill, tool definition, or system prompt updates
• Establishing automated CI release gates for agent pipelines and multi-agent teams
• Diagnosing recurring behavioral defects such as hallucinations, tool breaches, or reasoning loops
• Scoring complex agent outputs using hybrid deterministic and model-graded rubrics

Core Rules