Pydantic

An open-source Python library for structured output generation that enables developers to reliably extract validated data from large language models by defining schemas with Pydantic and automatically parsing model responses into typed objects.

A Python agent framework designed by Pydantic for building production-grade generative AI applications.

A declarative specification for describing the structure, data types, constraints, and validation rules of JSON documents, enabling AI systems, APIs, and tools to exchange structured data reliably and validate inputs and outputs.

A structured specification that defines a callable function's name, purpose, parameters, input types, constraints, and expected outputs, enabling AI systems to correctly invoke tools and generate valid arguments.

The process of verifying and sanitizing user inputs or external data before they are processed by an AI system to ensure they conform to expected formats, constraints, and security policies, helping prevent errors, misuse, prompt injection, and malicious inputs.