As LLM applications move from experiments to production systems, prompts stop being one-off strings written in a notebook. They become part of the system itself.

In real applications, prompts need to be reusable, parameterized, versioned, and tested, just like any other piece of software. A hardcoded prompt that works for a single input is not enough when your system needs to process thousands of requests with different data.

This is where prompt templates and prompt pipelines come in.

In this chapter, we will explore how to design prompt templates and build multi-step prompt pipelines.