Building a Chatbot with Llama Stack
Explore how to build an advanced chatbot by integrating Llama Stack's components including large language models, tool usage such as web search and Wolfram Alpha, and safety shields to ensure responsible AI behavior. This lesson guides you through creating an interactive chat system with a web interface, teaching you to combine inference, external tools, and safety features in a single application.
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 ...