In this post, we are going to see how to solve classification/name-entity recognition class of problems using DSPy and Outlines (from dottxt) . This

Structured Output Generation using DSPy and Outlines

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2024-12-09 23:00:16

In this post, we are going to see how to solve classification/name-entity recognition class of problems using DSPy and Outlines (from dottxt) . This approach is not only ergonomic and clean but also guarantees schema adherence.

Next, we write a custom dspy.LM class that uses the outlines library for doing text generation and outputting results that follow the provided schema.

That's it! This approach combines the modularity of DSPy with the efficiency of structured output generation using outlines built by dottxt.

Langtrace natively supports the tracing and monitoring of key metrics from DSPy optimizers and pipelines. This is helps you with understanding how a chosen module or an optimizer from DSPy works under the hood and gives you key visibility into better optimizing the performance of your application.

For more information, check out our previous blog post on this integration here. Here are some additional threads that people have found helpful: