This chapter introduces the primary components of the Kerb toolkit and walks through the process of generating text. Before building complex systems like RAG or agents, it is necessary to establish a clear and repeatable way to communicate with a Large Language Model. We will concentrate on creating this connection using the toolkit's configuration and generation modules.

In this chapter, you will learn to:

• Set up your local development environment for the course.
• Recognize the design principles of the toolkit's main components.
• Configure multiple LLM providers, such as OpenAI and Anthropic, through a unified interface.
• Execute a standard API call to get a text response from a model.
• Process streaming output for applications that require real-time feedback.