PydanticAI
Type-safe Python agent framework from the Pydantic team — build agents with structured inputs/outputs validated by Pydantic models.
MIT
Python
Why PydanticAI?
You want full type safety and IDE autocompletion for agent code
Structured output validation is critical for your pipeline
Teams already using Pydantic and FastAPI who want familiar patterns
Signal Breakdown
What drives the Trust Score
Download Trend
Last 12 months
Tradeoffs & Caveats
Know before you commitYou need multi-agent orchestration — PydanticAI is single-agent focused
JavaScript/TypeScript projects
Pricing
Free tier & paid plans
Open source, free to use
Free & open-source
Alternative Tools
Other options worth considering
Microsoft's framework for building multi-agent AI systems where agents collaborate, debate, and solve complex tasks conversationally.
OpenAI's official Python SDK for building agents with tool calling, handoffs, and tracing — the successor to the Assistants API.
Often Used Together
Complementary tools that pair well with PydanticAI
Learning Resources
Docs, videos, tutorials, and courses
Get Started
Repository and installation options
View on GitHub
github.com/pydantic/pydantic-ai
pip install pydantic-aiQuick Start
Copy and adapt to get going fast
from pydantic_ai import Agent
from pydantic import BaseModel
class Response(BaseModel):
answer: str
confidence: float
agent = Agent('openai:gpt-4o', result_type=Response)
result = agent.run_sync('What is 2+2?')
print(result.data.answer)Community Notes
Real experiences from developers who've used this tool