Agents with Pydantic AI
You can use a variety of tools to build AI agents, but building real-world applications require having good validation and type checking. Getting well-formatted results is also important. In this tutorial, you'll learn how to build a team of agents that analyze mobile app reviews. More importantly, you'll learn how to organize and run the workflow to get the results you need from your agents.
Tutorial Goals
In this tutorial, you will:
- Learn the basics of Pydantic AI
- Create tool for agents to fetch reviews
- Build a team of agents
- Organize and run the workflow
- Improve results by chatting with the agents
Why Pydantic AI?
PydanticAI1 is a Python agent framework designed to make it less painful to build production grade applications with Generative AI
Pydantic AI is created by the authors of the Pydantic framework, which is a data validation library that uses Python type annotations. As you might imagine, the framework has a focus on data validation and type checking, which is great if you want to build production-grade applications with Generative AI.
One thing that I like about Pydantic AI is that it allows you to control the workflow of your agents via simple Python code. Another great addition is that you can pass in dependencies to your agents via a context, which can be used to control the behavior of the agent.
Let's setup our project and build some agents using Pydantic AI.