Pydantic AI
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What is Pydantic AI?
Pydantic AI is a Python agent framework for building production-grade applications with generative AI. It is built by the team behind Pydantic Validation and integrates with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking. It supports dependency injection, structured responses, streamed responses, and Pydantic Graph for complex workflows. It is model-agnostic, with support for OpenAI, Anthropic, Gemini, Groq, Mistral, Cohere, Bedrock, Hugging Face, and others.
How to use Pydantic AI
Install with pip install pydantic-ai → create an Agent with model and system prompt → optionally add tools, dependencies, or structured output types → run synchronously or asynchronously → stream responses or events → integrate with Pydantic Logfire for monitoring.
Pydantic AI features
Model-Agnostic
Works with multiple LLM providers.
Pydantic Logfire
Debugging and monitoring integration.
Dependency Injection
Provide data and services to agents.
Structured Responses
Validated and consistent outputs.
Fallback Model
Use another model if one fails.
Pydantic AI pricing
Free
Free
- Open source
- Requires Python 3.9+