Best practices for debugging agents in OpenAI Agents SDK?

All answers to this question.

The OpenAI Agents SDK actually integrates natively with the OpenAI Dashboard’s tracing features. You don't necessarily need a third-party tool like LangSmith. When you run an agent, you can see the sequence of tool calls and handoffs in the "Traces" tab. However, if you need deep analytics on cost per agent or custom evaluation metrics, you might still want to wrap your OpenAI Agents SDK calls with something like Langfuse or Arize Phoenix for more granular observability.

   Answered 2025-12-10 by Ashley Montgomery

Can you export these traces from the OpenAI Agents SDK to an ELK stack?

   Answered 2025-12-15 by Patrick Sullivan

• Patrick, the SDK itself is quite minimal, so it doesn't have an "export to ELK" button. You would need to use a middleware or a logger to capture the run object responses. The OpenAI Agents SDK is designed to be composable, so you can easily pipe the JSON output of each turn into your own logging pipeline without much friction.

     Commented 2025-12-20 by Kevin Malone

I just use the debug=True flag in the OpenAI Agents SDK. It prints the full logic flow to the console, which is fine for local dev.

   Answered 2025-12-28 by Christina Perry

• It’s simple but effective! I love how the OpenAI Agents SDK doesn't hide the raw prompts behind too many classes, making it easier to see what went wrong.

     Commented 2025-12-30 by Samantha Reed