This repository contains examples to showcase AgentCore Observability for Strands Agent hosted on Amazon Bedrock AgentCore Runtime using Amazon OpenTelemetry Python Instrumentation and Amazon CloudWatch. Observability helps developers trace, debug, and monitor agent performance in production through unified operational dashboards. With support for OpenTelemetry compatible telemetry and detailed visualizations of each step of the agent workflow, Amazon CloudWatch GenAI Observability enables developers to easily gain visibility into agent behavior and maintain quality standards at scale.

Getting Started

The Project folder has the following:

A Jupyter notebook demonstrating the Agentcore runtime and observability on Cloudwatch.
A requirements.txt file listing necessary dependencies
An .env.example file showing required environment variables

Usage

Navigate to the directory of the framework you want to explore
Install the requirements: !pip install -r requirements.txt
Configure your AWS credentials
Copy the .env.example file to .env and update the variables
Open and run the Jupyter notebook

Strands Agents

Strands provides a framework for building LLM applications with complex workflows, focusing on model driven agentic developement.

Clean Up

Please delete the Amazon Cloudwatch Log groups and associated resources created on Amazon CloudWatch for Observability.