Pydantic AI — Production AI Agent Framework

What is Pydantic AI?

Pydantic AI is a Python agent framework from the Pydantic team that brings type safety, structured output, and dependency injection to AI agent development.

In one sentence: Pydantic AI is a production-grade AI agent framework with type-safe structured output, dependency injection, streaming, and multi-model support.

For: Python developers who need type safety and testability. Supported models: Claude, GPT, Gemini, Groq, Ollama.

Core Features

1. Pydantic Structured Output

Define outputs with Pydantic models — automatically validated.

2. Tool Definitions

Define tool functions with decorators — the agent calls them automatically.

3. Dependency Injection

Inject databases, user context, and other dependencies for easy testing.

4. Streaming Output

Async streaming of text or structured data.

FAQ

Q: How does it compare to LangChain? A: Pydantic AI focuses more on type safety and testability; LangChain is broader but more complex.

Q: Production ready? A: Yes — built by the Pydantic team (whose validation library is used by 80% of Python AI projects).