PydanticAI: From Data Validation to Agents
The team behind Pydantic, the most widely used open-source data validation library, is making big moves in the agents and orchestration space with PydanticAI! But here’s the burning question: If your team already uses Pydantic, does that mean you’ll instantly get PydanticAI?
We’re putting it to the test. In this event, we’ll break down how the Pydantic team built PydanticAI, explore its key similarities (and differences) with Pydantic, and see how it stacks up against LangGraph, LlamaIndex Workflows, CrewAI, AG2, Swarm, and more. Plus, we’re not just talking—we’re building and shipping a real agent application live. Don’t miss this one! 🔥
Join us every Wednesday at 1pm EST for our live events. SUBSCRIBE NOW to get notified!
Speakers:
Dr. Greg, Co-Founder & CEO AI Makerspace
/ gregloughane
The Wiz, Co-Founder & CTO AI Makerspace
/ csalexiuk
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#agents #learnai #pydantic #llamaindex #langchain
00:00:00 Exploring the Pydantic AI Framework
00:03:57 Overview of Pydantic AI: From Fast API to Framework Development
00:06:51 Understanding Python Type Hints
00:11:04 Understanding FastAPI and Pydantic
00:15:11 Understanding Langraph: Language Agents and Applications
00:19:07 Understanding Function Calls in Large Language Models
00:24:59 Introduction to Pydantic AI Framework
00:26:35 Understanding Agent Hand-offs: Levels of Autonomy
00:30:18 Building with Pydantic AI: A Fast API Experience
00:34:07 Building a Multi-Agent Joke App
00:37:52 Building a Joke Generator with Node Classes
00:41:14 Building an Evaluation Node System
00:45:46 Introduction to Logfire by Pydantic AI
00:48:00 Navigating Open Source Frameworks and Observability Platforms
00:51:46 The Future of AI Frameworks and Skillsets
00:55:17 Understanding Built-in Data Classes vs. Pydantic Base Models