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使用Amazon Bedrock AgentCore可观测性调试生产智能体

Debugging production agents with Amazon Bedrock AgentCore Observability

Primary sourceAWS Machine Learning Blog@Joshua Lacy
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Why we picked it

AWS博客教你用Bedrock AgentCore内置观察功能排查生产智能体故障，比如无限循环和工具调用失败，省去自己搭建监控的麻烦。

本文介绍如何使用Amazon Bedrock AgentCore的内置可观测性功能调试生产环境中的智能体故障。

Image · AWS Machine Learning Blog
Body

文章涵盖常见的故障模式，如无限循环和工具调用失败。通过追踪和指标分析智能体行为，并提供结构化工作流来解决问题。

本文是两部分系列的第一部分，第二部分将讨论性能优化和内存管理。

Original · AWS Machine Learning Blog

Debugging production agents with Amazon Bedrock AgentCore Observability

In this post, you learn how to debug production agent failures using built-in observability capabilities. We walk through common failure patterns, show how to analyze agent behavior with traces and metrics, and provide structured workflows for resolving issues such as infinite loops and tool invocation failures. This is Part 1 of a two-part series. Part 2 covers performance optimization and memory management.

Industry Coordinates & Source Verification

This report is categorized under AITOP's "How-to" desk, focusing on US frontier AI labs and Silicon Valley technology leaders. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows. Key entities and technical topics under continuous tracking include Amazon Bedrock, AgentCore, 可观测性, 智能体.

Primary source verification: published directly by AWS Machine Learning Blog with first-party authority.

#Amazon Bedrock#AgentCore#可观测性#智能体#工具调用

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