PydanticAI

Active
GitHub Python MIT

Description

PydanticAI builds agents on top of type systems, emphasizing verifiable data structures, tool calling, and production-grade reliability.

Key Features

  • Model-agnostic support for OpenAI, Anthropic, Gemini, DeepSeek, and 20+ providers
  • Fully type-safe agent design with static type checking and IDE auto-completion
  • Seamless observability via Pydantic Logfire with OpenTelemetry tracing
  • Composable capabilities bundling tools, hooks, instructions, and model settings
  • MCP, A2A, and UI event stream integration for agent interoperability
  • Durable execution preserving agent progress across failures and restarts

Use Cases

💡 Building production-grade AI agents with structured outputs and tool calling
💡 Creating multi-model workflows with automatic provider switching
💡 Developing human-in-the-loop systems with tool approval workflows
💡 Building complex agent graphs for multi-step task automation
💡 Rapid prototyping of GenAI applications with Pydantic validation

Quick Start

pip install pydantic-ai

from pydantic_ai import Agent

agent = Agent('anthropic:claude-sonnet-4-6', instructions='Be concise.')
result = agent.run_sync('Where does "hello world" come from?')
print(result.output)

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