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AWS Bedrock adds observability for debugging AI agents

By PulseAugur Editorial · [1 sources] ·

Amazon Bedrock AgentCore Observability has been introduced by AWS to help developers debug AI agents in production. This new feature provides visibility into agent execution through metrics, traces, and structured logs, allowing users to pinpoint failures like infinite loops or incorrect tool selections. The observability tools aim to move beyond simply detecting errors to understanding the root cause of agent behavior issues. AI

IMPACT Enhances the reliability and maintainability of AI agents deployed on AWS, simplifying debugging for developers.

RANK_REASON This is a product update for an existing cloud service, not a new frontier model release or significant industry-wide event.

Read on AWS Machine Learning Blog →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AWS Bedrock adds observability for debugging AI agents

COVERAGE [1]

  1. AWS Machine Learning Blog TIER_1 English(EN) · Joshua Lacy ·

    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 lo…

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