The integration of Datadog LLM Observability with Amazon Bedrock Agents provides enhanced monitoring and management capabilities for agentic AI applications that utilize large language models (LLMs) to perform complex, multi-step tasks. By capturing detailed telemetry data, this integration allows developers to track and optimize agent workflows, ensuring performance, reliability, and cost-effectiveness while addressing issues like latency, errors, and token usage. It also facilitates the evaluation of output quality and tool selection to verify task completion accuracy and safety, detecting issues such as prompt injections and toxic content. This comprehensive observability enables developers to troubleshoot and resolve issues swiftly, maintaining high standards for responsible AI use. With over a decade of experience integrating with AWS services, Datadog offers a robust solution for teams looking to build and monitor their agentic AI applications effectively.