agent-evaluation

Evaluating LLM agent performance requires running behavioral regression tests, capability assessments, and reliability metrics. This skill provides scripts to measure agent consistency and track performance changes in real-world production scenarios.

Behavioral regression testing for LLM agents identifies unexpected changes in agent behavior over time. By running consistent test suites, you can detect performance degradation and ensure response reliability before deploying updates.

Benchmarking LLM agents for specific tasks is supported through capability assessments. These assessments measure how well an agent performs targeted operations, providing metrics suitable for production monitoring and pre-deployment validation.

Measuring agent reliability metrics requires a robust testing framework and an understanding of LLM behavior. The skill operates using scripts to evaluate consistency, assuming you have the necessary testing infrastructure configured.

Monitoring LLM agents in production involves tracking reliability metrics and running behavioral regression tests continuously. This skill provides the evaluation scripts needed to measure real-world performance and ensure agents meet required standards.