PydanticAI
by pydantic
PydanticAI is a Python agent framework designed to simplify building production-grade applications with Generative AI. It aims to bring the FastAPI feeling to GenAI app development, leveraging Pydantic for validation and structuring model outputs.
Last updated: N/A
What is PydanticAI?
PydanticAI is a Python agent framework built by the Pydantic team to make it easier to develop production-ready Generative AI applications. It provides a model-agnostic, type-safe, and Python-centric approach to building AI-driven projects, with features like structured responses, dependency injection, and streamed outputs.
How to use PydanticAI?
To use PydanticAI, you define agents with specific models, system prompts, and output types. You can register tools and use dependency injection to customize agent behavior. The run_sync or run methods are used to execute the agent with user queries and dependencies, returning validated and structured outputs. Refer to the documentation and examples for detailed instructions.
Key features of PydanticAI
Built by the Pydantic Team
Model-agnostic (supports OpenAI, Anthropic, Gemini, etc.)
Pydantic Logfire Integration
Type-safe
Python-centric Design
Structured Responses (Pydantic validation)
Dependency Injection System
Streamed Responses
Graph Support
Use cases of PydanticAI
Building AI-powered applications
Creating support agents
Developing applications requiring structured responses from LLMs
Integrating LLMs with existing Python projects
FAQ from PydanticAI
What models does PydanticAI support?
What models does PydanticAI support?
PydanticAI supports OpenAI, Anthropic, Gemini, Deepseek, Ollama, Groq, Cohere, and Mistral, with a simple interface to implement support for other models.
How does PydanticAI ensure type safety?
How does PydanticAI ensure type safety?
PydanticAI is designed to make type checking as powerful and informative as possible, leveraging Python's type hinting and Pydantic's validation capabilities.
What is Pydantic Logfire and how does it integrate with PydanticAI?
What is Pydantic Logfire and how does it integrate with PydanticAI?
Pydantic Logfire is a tool for real-time debugging, performance monitoring, and behavior tracking of LLM-powered applications. PydanticAI seamlessly integrates with Pydantic Logfire.
Can I stream LLM outputs with PydanticAI?
Can I stream LLM outputs with PydanticAI?
Yes, PydanticAI provides the ability to stream LLM outputs continuously, with immediate validation.
What is the purpose of the dependency injection system in PydanticAI?
What is the purpose of the dependency injection system in PydanticAI?
The dependency injection system allows you to provide data and services to your agent's system prompts, tools, and output validators, which is useful for testing and iterative development.