Gain visibility into Strands Agents workflows with Datadog LLM Observability

This article details how to use Datadog's LLM Observability tools to monitor and troubleshoot Amazon Bedrock-powered agents. It explains how to track key metrics like token usage, latency, and error rates to understand agent performance and cost, ultimately improving reliability and user experience. By integrating Datadog, developers can gain actionable insights into their Bedrock agents beyond just basic API calls.