Overview
PydanticAI is a Python agent framework designed to streamline the development of generative AI applications by providing a type-safe, flexible, and developer-friendly approach to building AI agents. Created by the team behind Pydantic, it aims to bring the same level of innovation to AI development that FastAPI brought to web development.
Key Features
- Model-agnostic support (OpenAI, Anthropic, Gemini, Ollama, Groq, Mistral)
- Type-safe structured response validation
- Vanilla Python control flow and agent composition
- Novel dependency injection system
- Streamed response validation
- Pydantic Logfire integration for debugging and monitoring
- Flexible tool and system prompt configuration
Use Cases
- Bank customer support agents
- Conversational AI applications
- Structured data extraction
- AI-powered workflow automation
- Prototype and production AI assistants
- Evaluation and testing of AI models
Technical Specifications
- Language: Python
- Validation: Pydantic
- Supported LLM Providers: Multiple
- Async and sync execution support
- Extensible model and tool interfaces
- Beta stage with active development
