Pydantic AI
Pydantic's agent framework that uses type hints to define agents, structure prompts, and validate tool outputs.
Think of it like
A strongly-typed agent framework—define your agent's tools and outputs as Python types, Pydantic enforces them.
Example
Write an agent method with return type `QueryResult`. Define what QueryResult looks like. The framework ensures the model response matches; if not, retry.
How it actually works
Pydantic AI is a new entrant that treats types-first. You define agent behaviors as classes with typed methods. Tool definitions are auto-generated from type hints. Works with any LLM. Smaller than LangChain but opinionated. Still early but gaining traction in Pydantic ecosystem.
For product teams
Type safety reduces production errors; enables IDE autocomplete for agent definitions.
For engineers
Type-first design; auto-generated tool schemas; composable agent classes.
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