Amazon Bedrock AgentCore adds versioned test datasets for agent evaluation
Ground truth, versioned datasets, and immutable test cases for non-deterministic agents.
Deep Dive
Amazon Bedrock AgentCore introduces dataset management for agent evaluation, enabling versioned test scenarios with inputs, expected outputs, assertions, and tool sequences. It supports two types: predefined scenarios for backward-looking and user simulation scenarios for forward-looking. Datasets are immutable once published, providing stable baselines in CI/CD pipelines. This helps catch regressions and ensures consistent measurement across runs, turning production failures into permanent test cases.
Key Points
- Supports versioned datasets with immutable checkpoints for consistent evaluation across runs.
- Two scenario types: predefined (backward-looking with ground truth) and user simulation (forward-looking dynamic tests).
- Production failures can be captured and added to the dataset as permanent test cases for regression detection.
Why It Matters
Ensures AI agents improve reliably with stable, ground-truth-based test suites across development and CI/CD.