Pydantic Docs

Pydantic is the end-to-end AI Engineering stack. Validate untrusted data and build agents you’ll actually ship to production using our Python libraries. Observe, govern, and optimize agents written in any language or framework once they’re live.

AI Engineering

Build, run, and improve production AI systems.

Not just Python!

Pydantic Logfire

Observability and governance for AI agents, LLMs, applications, services, and hosts.

logfire.configure();
logfire.info('app started');

See the best AI Engineering platform

Pydantic AI

The batteries-included type-safe framework for building production agents.

model = 'openai:gpt-5.6-sol'
agent = Agent(model)
agent.run_sync('Does it snow?')

Build production-ready Agents

Monty

A minimal, secure Python interpreter in Rust, for running the code your agent writes.

with Monty() as pool:
    with pool.checkout() as s:
        s.feed_run('2 ** 10')

Run agent code safely

Python Ecosystem

Open source foundations for trusted data and HTTP.

Pydantic Validation

Data validation from Python type hints. Parse, validate, and serialize with confidence.

class User(BaseModel):
    name: str
    age: int

Learn about Validation

HTTPX2

A next-generation HTTP client. Sync and async APIs, HTTP/1.1 and HTTP/2.

client = httpx2.Client()
r = client.get('https://pydantic.dev')

Make requests with HTTPX2