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Starting with PydanticAI
PydanticAI is a cutting-edge platform designed for streamlined development of LLM-based applications, offering a robust and type-safe foundation.
What is PydanticAI?
Built by the creators of Pydantic, the platform benefits from a proven validation layer. Its model-agnostic design ensures compatibility with leading models such as OpenAI, Gemini, and Groq, with future support for Anthropic and an extensible interface for others. PydanticAI aims to empower developers to leverage Python best practices for agent composition and control flow while ensuring structured and validated responses via Pydantic. With features like streamed response validation, a novel dependency injection system for iterative testing, and integrated debugging and monitoring through Logfire, PydanticAI simplifies development and enhances reliability for LLM-powered applications.
Step by step guide
To give it a try I will document my journey into running one of the examples that exists in the documentation of the PydanticAI project.
- Create a directory and open a new project in Cursor
