Monitor and Evaluate Open AI SDK Agents using Langfuse
Last Updated on August 29, 2025 by Editorial Team
Author(s): Steve George
Originally published on Towards AI.
Monitor and Evaluate Open AI SDK Agents using Langfuse
In this article, we’ll walk through the creation of a simple agentic workflow using the OpenAI SDK, and demonstrate how to capture and visualize trace data using Langfuse and OpenTelemetry.
The article explains the development of a workflow utilizing the OpenAI SDK, detailing how the system captures and visualizes trace data through various agents. Each agent, such as the Assist Agent, Validation Agent, and Sensitive Info Checker, plays a critical role in managing input while maintaining data integrity. The tutorial emphasizes the integration of Langfuse and OpenTelemetry for trace visualization and highlights the workflow’s steps, including guardrails for sensitive information, factuality checks, and using a database for storing traces. Ultimately, it presents best practices and alternatives for visualizing traces across different platforms.
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