Skip to content
FindOpenSource

Pydantic AI

Type-safe agent framework from the team behind Pydantic, bringing familiar Python typing and validation patterns to LLM application development.

Overview

Pydantic AI lets developers define an LLM agent's inputs, outputs, and tool functions using ordinary Pydantic models, so the same type validation and IDE autocomplete that Python developers already rely on extends naturally to LLM-powered code. It aims for a lighter, more Python-idiomatic feel than some other agent frameworks.

Pydantic AI is a fit for Python teams that want LLM application code to feel like normal, type-safe Python rather than a separate DSL, a newer entrant compared to LangChain (also in this catalog) that specifically emphasizes type safety and minimal abstraction.

Categories
AI & Machine Learning
Keywords
agent-frameworkllm-frameworktype-safety
Languages
Python
License
MIT

Spotted an error? Suggest an edit on GitHub.