agent-evaluation

Behavioral regression testing evaluates an LLM agent against expected behaviors using a configuration file to ensure it does not regress. This verifies that the agent consistently adheres to required actions before production deployment.

A gap exists between benchmark performance and real-world agent reliability because benchmarks do not capture production variables. Capability assessment and reliability metrics quantify this consistency to identify real-world issues.

Measuring LLM agent reliability involves tracking reliability metrics that quantify consistency and performance over time. This process uses behavioral testing and capability assessment to monitor the agent against expected behaviors.

Effective LLM agent evaluation requires an understanding of testing fundamentals and LLM principles. This prerequisite knowledge is necessary to properly implement behavioral testing, capability assessment, and reliability metrics.

Production monitoring allows you to test deployed customer service agents to identify and address issues post-deployment. This ensures the agent continues to handle various user queries accurately and reliably in real-world scenarios.