AWS 用 Amazon Bedrock AgentCore 构建生产级 AI 智能体评估框架
原标题：Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore
AI 摘要
AWS 的销售、营销与全球服务（SMGS）运营团队构建了一个服务全球 AWS 现场销售的多智能体系统，包含 Performance Insights、Customer Insights 和 Data Insights 等子智能体，用于以自然语言回答业务问题。团队发现传统监控无法发现智能体「流畅但错误」的回答，例如把 410.08 美元误报为 4.1008 亿美元、编造 ARR 估算等。为此他们基于 Amazon Bedrock AgentCore Evaluations 搭建了覆盖全生命周期的持续质量评估框架，结合 Guardrails、CloudWatch、S3、Redshift、Quick 和 Lambda 等 AWS 服务，在发布前和生产中持续验证回答是否真实、正确并可追溯根因。
正文节选
Building trust in AI agents: A production-ready evaluation framework with Amazon Bedrock AgentCore The North Star Every organization racing to deploy AI agents faces the same reckoning: an agent that demos beautifully can quietly degrade in production, and by the time a human notices, the trust is already broken. Where traditional software fails loudly, agents fail softly. They return an answer that looks confident, reads fluently, and is wrong. When that answer drives a real business decision,