PydanticAI
PydanticAI is a Python agent framework designed to simplify building production-grade applications with Generative AI. It brings the ergonomic design of FastAPI to GenAI app development, leveraging Pydantic for data validation and structuring.
Key Features:
- Model-Agnostic: Supports OpenAI, Anthropic, Gemini, Deepseek, Ollama, Groq, Cohere, and Mistral with a simple interface for adding more.
- Pydantic Logfire Integration: Seamlessly integrates with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking.
- Type-Safe: Designed for powerful and informative type checking.
- Python-Centric Design: Uses familiar Python control flow and agent composition.
- Structured Responses: Validates and structures model outputs using Pydantic.
- Dependency Injection: Offers a dependency injection system for system prompts, tools, and result validators.
- Streamed Responses: Streams LLM outputs continuously with immediate validation.
- Graph Support: Uses Pydantic Graph for defining graphs in complex applications.
Use Cases:
- Building AI-driven applications requiring structured responses.
- Developing agents that interact with various LLMs.
- Creating support agents with access to external data sources.
- Implementing complex workflows using graph structures.
- Debugging and monitoring LLM-powered applications in real-time.
