Build a test suite that grows with your agent with dataset management in Amazon Bedrock AgentCore
Amazon Bedrock AgentCore now lets you version and manage test datasets for AI agents—closing a gap in agent evaluation infrastructure.
Why it matters
As AI agents move into production, evaluation and testing become critical bottlenecks. Amazon's dataset management feature addresses a real operational need: maintaining stable offline baselines while agents learn from live traffic. This is infrastructure for scaling agent reliability.
The key facts
7 to knowAmazon Bedrock AgentCore adds versioned dataset management for agent evaluation
Feature enables combination of online signals (real-world traffic) with offline baselines (fixed benchmarks)
Targets the agent evaluation and testing workflow gap
Published May 28, 2026
Amazon Bedrock AgentCore adds dataset versioning for agent evaluation
Feature combines online production signals with offline benchmark baselines
Enables version-controlled test fixtures for agent development
Go to the source
AWS Machine Learning Blogaws.amazon.com
Publisher excerpt: Agent evaluation is most powerful when you combine fast-moving online signals with stable offline baselines. To understand whether your agent is truly improving over time, you need a fixed benchmark alongside your changing real-world traffic. Managing test cases for evaluation baselines as a…