Building Generative AI Services with FastAPI

Chapter 2. Getting Started with FastAPI

A Note for Early Release Readers

With Early Release ebooks, you get books in their earliest form—the author’s raw and unedited content as they write—so you can take advantage of these technologies long before the official release of these titles.

This will be the 2nd chapter of the final book. The GitHub repo is available at https://github.com/Ali-Parandeh/building-generative-ai-services.

If you have comments about how we might improve the content and/or examples in this book, or if you notice missing material within this chapter, please reach out to the editor at [e-mail].

Chapter Goals

In this chapter, you will learn about:

• What FastAPI is alongside its capabilities and limitations

• Why FastAPI is a good choice for building GenAI services

• how to get started with creating your own FastAPI project

• How to structure FastAPI projects

• The onion or layered software design pattern

• Comparison of FastAPI to other frameworks

• How to migrate to FastAPI from other web frameworks

By the end of this chapter, you should feel comfortable with the FastAPI web framework, setting up FastAPI projects, migrate your existing projects to FastAPI and articulate your tech stack decisions for building GenAI services.

Introduction to FastAPI

FastAPI is an Asynchronous Gateway Interface (ASGI) web framework that enables you to build lean APIs and backend web servers. Being an ASGI framework means that it can leverage parallelism to process ...