PydanticAI
Python Agent Framework for building production-grade Generative AI applications
🛡️ AgentReady threat assessment
MAESTRO 7-layer threat model + OWASP AIVSS risk score for PydanticAI, derived from its capabilities.
These scores are auto-generated from public information (the agent's own listing, docs, and repository) using the canonical OWASP AIVSS formula and the MAESTRO framework — an estimate for guidance, not a penetration test, audit, or certification. See the scoring methodology — every score is re-derived by the same automated method as an agent's public evidence changes.
Overview
PydanticAI is a Python framework designed to simplify the development of production-grade applications using Generative AI. It offers model-agnostic support, type-safety, structured response validation, and a novel dependency injection system. PydanticAI leverages the power of Pydantic for data validation and integrates seamlessly with various AI models, making it easier for developers to build robust AI-powered applications
Key features and capabilities
- Model-agnostic support (currently OpenAI, Gemini, and Groq)
- Type-safe development
- Structured response validation with Pydantic
- Streamed responses, including validation of streamed structured responses
- Novel, type-safe dependency injection system
- Logfire integration for debugging and monitoring
- Control flow and agent composition using vanilla Python
- Integration with popular AI models and frameworks
Use cases
- Building conversational AI agents
- Developing AI-powered customer support systems
- Creating structured data extraction tools from unstructured text
- Implementing AI-driven decision-making systems
- Designing complex AI workflows with multiple agents and tools
- Developing AI-assisted content generation applications
- Building AI-powered data analysis and reporting tools