Pydantic AI
by Pydantic
Type-safe agent framework with Pydantic validation
Overview
Pydantic AI is a Python agent framework that uses Pydantic for type-safe LLM interactions. Provides structured outputs and validation.
Key Statistics
Overall Rating
4.0/5
GitHub Stars
13,000
Last Updated
2025-10
Version
0.0.18
Features
Type-safe agents
Type-safe agents capabilities
Structured outputs
Structured outputs capabilities
Validation
Validation capabilities
Tool calling
Tool calling capabilities
Getting Started
Installation
pip install pydantic-ai
Quick Start
Install and create type-safe agent
Code Example
from pydantic_ai import Agent
Pros & Cons
Advantages
Type safety with Pydantic validation
Clean Pythonic API
Structured outputs guaranteed
MIT license
Growing community
Limitations
Very new framework (early development)
Limited features compared to mature frameworks
Small ecosystem
Documentation still developing
Not yet production-proven at scale
Technical Details
Primary Language
Python
Supported Languages
License
MIT
Enterprise Ready
Yes
Community Size
Large
Pricing
Open Source
Free open source under MIT
Performance Metrics
easeOfUse
4/5
scalability
4/5
documentation
4/5
community
4/5
performance
4/5
Common Use Cases
Type-safe AI applications
Structured output generation
Data validation with AI
API integration with type safety
Production Python AI apps