AWS Bedrock AgentCore receives extended custom evaluators
AWS is launching a new feature in Amazon Bedrock AgentCore that enables the creation of custom code-based evaluators.

What happened?
Amazon Bedrock AgentCore has been expanded with the capability to implement custom code-based evaluators. These evaluators can be developed using AWS Lambda and integrated to review agent functionality. There is the possibility to combine these with built-in evaluation tools.
Key facts
| Lanseringsdatum | 22 maj 2024 |
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”In this post, you will implement four Lambda-based custom code evaluators for a financial market-intelligence agent, register each with AgentCore, and run them in on-demand and online modes. You will also see how to combine custom code-based evaluators with built-in evaluators an”
Why it matters
The feature means that developers can customise how AI agents are evaluated for specific use cases, such as financial market information. This allows for tailored control over agent performance and accuracy. System developers are thus provided with tools to ensure that agents meet business requirements, as well as to identify personally identifiable information (PII) and verify facts against external sources.
Who is affected?
Primarily affected are AI developers and companies using Amazon Bedrock to build and manage AI agents. They receive new tools to fine-tune and test their AI models. End users may also benefit indirectly through more reliable and secure AI applications.
What else you should know
The custom evaluators can be configured to run on-demand or continuously (online). This provides flexibility in how validation and monitoring occur.
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