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Amazon Bedrock adds custom code evaluators for AI agents

Amazon Bedrock AgentCore now supports custom code-based evaluators, allowing developers to integrate AWS Lambda functions for deterministic quality checks. This feature enables precise validation of agent outputs, such as numerical accuracy, adherence to specific workflows, and PII withholding, which are critical in domains like financial services. These custom evaluators can be used in development pipelines and for scoring live production traffic, offering a cost-effective and controlled alternative to LLM-as-a-Judge for specific validation tasks. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT Enhances AI agent reliability and control by enabling deterministic, domain-specific validation beyond LLM-as-a-Judge.

RANK_REASON This is a feature update for an existing product, not a new model release or significant industry shift.

Read on AWS Machine Learning Blog →

Amazon Bedrock adds custom code evaluators for AI agents

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 · Bharathi Srinivasan ·

    Build custom code-based evaluators in Amazon Bedrock AgentCore

    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…