Pydantic AI

Type-safe Python framework for building production AI agents, built by the Pydantic team with structured outputs and dependency injection

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Pydantic AI applies the same type-safety approach Pydantic brought to data validation to building AI agents — structured, validated outputs from an LLM call instead of parsing free-text responses and hoping the format holds. Built by the Pydantic team specifically to bring that discipline to agent development, with dependency injection for testing agents without hitting a real model every time.

A narrower, more type-strict alternative to broader frameworks like LangChain — worth it specifically if you want agent outputs your type checker can verify, not just runtime-parse.

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