PydanticAI

It is a Python agent framework called PydanticAI designed to simplify the development of production-grade applications using Generative AI.

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It is a Python agent framework called PydanticAI designed to simplify the development of production-grade applications using Generative AI. The framework leverages Pydantic, a widely-used data validation library, to provide a structured and type-safe approach to building AI-driven applications. PydanticAI aims to bring the same ergonomic and efficient development experience that FastAPI offers for web development, but tailored for Generative AI projects.

PydanticAI is model-agnostic, supporting popular LLMs such as OpenAI, Anthropic, Gemini, Deepseek, Ollama, Groq, Cohere, and Mistral, with an interface to add support for other models. It integrates seamlessly with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking of LLM-powered applications. The framework ensures structured responses by validating and structuring model outputs using Pydantic, making responses consistent across runs.

Key features include a dependency injection system for testing and iterative development, support for streamed responses with immediate validation, and Pydantic Graph for defining complex application graphs using typing hints. PydanticAI is currently in early beta, with the API subject to change, and feedback is encouraged. The framework is built by the team behind Pydantic, which powers validation in many popular AI libraries and tools like LangChain, LlamaIndex, and OpenAI SDK.

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