Amazon Bedrock AgentCore Observability with Langfuse

The rise of artificial intelligence (AI) agents marks a change in software development and how applications make decisions and interact with users. While traditional systems follow predictable paths, AI agents engage in complex reasoning that remains hidden from view. This invisibility creates a challenge for organizations: how can they trust what they can’t see? This is where agent observability enters the picture, offering deep insights into how agentic applications perform, interact, and execute tasks.

In this post, we explain how to integrate Langfuse observability with Amazon Bedrock AgentCore to gain deep visibility into an AI agent’s performance, debug issues faster, and optimize costs. We walk through a complete implementation using Strands agents deployed on AgentCore Runtime followed by step-by-step code examples.

Amazon Bedrock AgentCore is a comprehensive agentic platform that can deploy and operate highly capable AI agents securely, at scale. It offers purpose-built infrastructure for dynamic agent ...