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August 8, 2024

Tracing of OpenAI Structured Outputs

Jannik Maierhöfer

Langfuse now supports tracing OpenAI Structured Outputs.

What are structured outputs?

Generating structured data from unstructured inputs is a core AI use case today. Developers use the OpenAI API to build applications that fetch data, answer questions via function calling, extract structured data, and create multi-step workflows for LLMs to take actions. Structured Outputs is a new capability of the OpenAI API that builds upon JSON mode and function calling to enforce a strict schema in a model output.

How to trace structured output in Langfuse?

If you use the OpenAI Python SDK, you can use the Langfuse drop-in OpenAI SDK replacement to get full logging by changing only the import. With that, you can monitor the structured output generated by OpenAI in Langfuse.

- import openai
+ from langfuse.openai import openai
 
Alternative imports:
+ from langfuse.openai import OpenAI, AsyncOpenAI, AzureOpenAI, AsyncAzureOpenAI

For and end-to-end example, have a look at our cookbook on tracing stuctured outputs with Langfuse: