When you deploy AI agents built with frameworks like Strands Agents, LangGraph, and CrewAI, you need observability into their performance. This holds true whether they run on Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Container Service (Amazon ECS), AWS Lambda, on-premises, or another cloud provider such as Google Cloud Platform (GCP) or Microsoft Azure. Amazon Bedrock AgentCore is a platform to build, connect, and optimize agents at scale, with any framework or model. Although Amazon Bedrock AgentCore Observability , a capability of Amazon Bedrock AgentCore, provides native tracing, monitoring, and analytics that local cloud monitoring tools don’t offer out of the box, it natively supports only agents deployed on AgentCore runtime in the AWS Cloud. If your agents run anywhere else, you need additional configuration to send telemetry to the dashboard. In this post, we show you how to set up observability for agents running outside AWS. …
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Observability is a foundational pillar of responsible AI. By routing telemetry to AgentCore Observability, you gain visibility into agent reasoning chains, tool invocations, and model outputs. This allows you to detect hallucinations, monitor for harmful or off-topic responses, track token usage for cost governance, and audit agent behavior across environments.
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