PydanticAI is a cutting-edge Python agent framework designed to simplify the development of production-grade applications utilizing large language models (LLMs). Developed by the creators of Pydantic, this framework leverages the power of Pydantic to ensure robust, type-safe, and model-agnostic AI application development. It provides developers with the tools needed to create reliable and efficient AI solutions that can seamlessly integrate with various systems and workflows. PydanticAI offers a comprehensive set of features that cater to the needs of developers building AI applications. Each feature is designed to enhance the development process, ensuring that applications are both robust and flexible. PydanticAI can be applied in various scenarios to enhance the development and deployment of AI applications. Here are some examples: To get started with PydanticAI, you can explore its documentation and source code, which are available on its GitHub repository. This resource provides comprehensive guides and examples to help you understand how to implement the framework in various applications. Additionally, you can reach out to the development team for further inquiries or support related to your specific use cases.Features
Feature
Description
Type-Safe Framework
Utilizes Pydantic for structured response validation, ensuring consistent and predictable outputs across runs.
Model-Agnostic
Supports multiple LLMs, including OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral, allowing seamless transitions between models.
Dependency Injection System
Offers a type-safe mechanism to inject data and services into system prompts, tools, and result validators, enhancing testing and development.
Streamed Responses
Allows continuous streaming of LLM outputs with immediate validation for rapid and accurate results.
Logfire Integration
Enables real-time debugging and monitoring of the agent’s flow, facilitating optimization and understanding of model interactions.
Pythonic Design
Supports control flow and agent composition using pure Python, aligning with conventional development practices for efficiency.
Use cases
How to get started
Pricing for PydanticAI is not available.PydanticAI Pricing Information