Python Agent Framework for building production-grade Generative AI applications
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
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Model-agnostic support (currently OpenAI, Gemini, and Groq)
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Type-safe development
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Structured response validation with Pydantic
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Streamed responses, including validation of streamed structured responses
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Novel, type-safe dependency injection system
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Logfire integration for debugging and monitoring
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Control flow and agent composition using vanilla Python
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Integration with popular AI models and frameworks
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Building conversational AI agents
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Developing AI-powered customer support systems
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Creating structured data extraction tools from unstructured text
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Implementing AI-driven decision-making systems
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Designing complex AI workflows with multiple agents and tools
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Developing AI-assisted content generation applications
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Building AI-powered data analysis and reporting tools