Agent Engineering with Pydantic + Graphs — with Samuel Colvin, CEO of Pydantic Logfire

Video Description

Building AI-native observability with Logfire, Pydantic AI for agents, and why .ipynb needs to go. https://www.latent.space/p/pydantic Chapters 00:00:00 Introductions 00:00:24 Origins of Pydantic 00:05:28 Pydantic's AI moment 00:08:05 Why build a new agents framework? 00:10:17 Overview of Pydantic AI 00:12:33 Becoming a believer in graphs 00:24:02 God Model vs Compound AI Systems 00:28:13 Why not build an LLM gateway? 00:31:39 Programmatic testing vs live evals 00:35:51 Using OpenTelemetry for AI traces 00:43:19 Why they don't use Clickhouse 00:48:34 Competing in the observability space 00:50:41 Licensing decisions for Pydantic and LogFire 00:51:48 Building Pydantic.run 00:55:24 Marimo and the future of Jupyter notebooks 00:57:44 London's AI scene