PydanticAI

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.