Building a Chatbot with Llama Stack

Throughout our learning process, we’ve explored the different building blocks of Llama Stack: running inference, using external tools, adding retrieval, applying safety shields, and managing agents. Now, we’ll combine all of that into a single application.

Think of it like assembling a superhero. A hero needs a brain (our LLM), special powers to interact with the world (tools), and a strong moral compass to keep them in check (our safety shield). Our job is to be the chief engineer, putting all these pieces together.

• 🧠 Hold a natural, intelligent conversation.

• 🧮 Perform complex calculations using Wolfram Alpha.

• 🌐 Access up-to-the-minute information from the internet.

• 🛡️ Automatically block and filter unsafe or inappropriate prompts.

• ✨ All wrapped in a slick, interactive web interface you can share!

Ready to build? Let’s get started.

The blueprint: our chatbot’s architecture

Before we write a single line of code, let’s look at the plan. Every component has a specific job, and they all work together under the command of our “Agent.”

• The brain (LLM): This is the core of our chatbot, responsible for understanding language, reasoning, and generating human-like responses. We’ll use a ...