evaluation

Agent evaluation uses structured rubrics and multi-dimensional scoring to measure factual accuracy, completeness, citation accuracy, source quality, and tool efficiency across test sets and production monitoring, ensuring repeatable scoring with weighted dimensions and pass/fail thresholds.

Multi-dimensional agent evaluation tracks factual accuracy, completeness, citation accuracy, source quality, and tool efficiency. It applies weighted rubrics across test sets and production monitoring to detect regressions and ensure repeatable scoring with pass/fail thresholds.

To establish a baseline score for agent test sets, feed a sample task and its expected outcome into the evaluation framework to obtain a baseline score using multi-dimensional rubrics covering factual accuracy, completeness, and tool efficiency.

Weighted rubrics support production monitoring for non-deterministic agents by providing a repeatable framework to measure performance, validity, and safety. They apply multi-dimensional scoring across test sets to track improvements and detect regressions with pass/fail thresholds.

Measuring citation accuracy and source quality in agent responses requires multi-dimensional evaluation rubrics. These rubrics apply weighted scoring and pass/fail thresholds across test sets and production monitoring to ensure repeatable scoring for continuous improvement.