Pydantic AI Agents

Build production-grade, type-safe AI agents in Python with Pydantic AI. Get structured outputs validated by Pydantic models, function tools, dependency injection, streaming, and multi-provider support across OpenAI, Anthropic, and Google.

This skill builds agents with the Pydantic AI framework. It defines agents with typed dependencies and Pydantic-validated structured outputs, registers function tools, streams responses and events, connects to OpenAI, Anthropic, Google and other providers, and adds observability with Pydantic Logfire — including multi-agent and Agent2Agent (A2A) patterns.

When to use

Use when building Python AI agents that need validated structured outputs, tool calling, type safety, or multi-provider LLM support.

Examples

Type-safe structured output

Validate LLM responses with Pydantic

Build a Pydantic AI agent that extracts an invoice into a typed model with amount, currency, and line items, validated on every call

Tool-calling agent

Agent with function tools and DI

Create a Pydantic AI support agent with a database dependency and function tools to look up orders and issue refunds