AWS Enables Observability for External AI Agents via AgentCore

Amazon Web Services (AWS) has provided guidance on extending its AgentCore Observability platform to AI agents deployed in non-AWS environments, including on-premises servers and third-party clouds like Google Cloud Platform or Microsoft Azure. While AgentCore Observability natively supports agents running on AWS infrastructure, external agents now require additional configuration to export telemetry data to the platform's dashboard.

The solution utilizes the AWS Distro for OpenTelemetry (ADOT) to perform auto-instrumentation of agent applications. By configuring ADOT to run in-process with an agent, developers can capture traces, logs, and metrics—such as reasoning chains, tool invocations, and token usage—and route them to Amazon CloudWatch. This integration relies on SigV4 authentication to securely transmit telemetry from external environments to AWS. This capability is intended to help developers audit agent behavior, monitor for potential hallucinations, and track performance metrics for agents built with frameworks like Strands Agents, LangGraph, and CrewAI.