Product Overview

PydanticAI is a Python agent framework designed to make it less painful to build production grade applications with Generative AI. It is built by the team behind Pydantic and supports various models such as OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral. PydanticAI seamlessly integrates with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking. It is type-safe, leverages Python's control flow and agent composition, and provides structured responses. It also offers a dependency injection system and the ability to stream LLM outputs continuously. PydanticAI is currently in early beta.

Key Features

• Built by the Pydantic Team
• Model-agnostic
• Pydantic Logfire Integration
• Type-safe
• Python-centric Design
• Structured Responses
• Dependency Injection System
• Streamed Responses

How It Works

PydanticAI leverages Python's control flow and agent composition to build AI-driven projects. It supports various models such as OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral. It seamlessly integrates with Pydantic Logfire for real-time debugging, performance monitoring, and behavior tracking. PydanticAI provides a type-safe environment and ensures structured responses. It also offers a dependency injection system to provide data and services to the agent's system prompts, tools, and result validators. Additionally, it provides the ability to stream LLM outputs continuously for rapid and accurate results.

Use Cases

• Building production grade applications with Generative AI
• Real-time debugging and performance monitoring
• Behavior tracking of LLM-powered applications
• Type checking and static type checking integration
• AI-driven projects leveraging Python's control flow and agent composition
• Structuring and validating model outputs
• Testing and eval-driven iterative development
• Streaming LLM outputs for rapid and accurate results

Technical Requirements

• Python
• Pydantic
• Pydantic Logfire
• OpenAI SDK
• Anthropic SDK
• Gemini
• Ollama
• Groq
• Mistral

Benefits

• Simplifies the process of building production grade applications with Generative AI
• Seamless integration with Pydantic Logfire for real-time debugging and performance monitoring
• Type-safe environment for efficient development
• Leverages Python's control flow and agent composition
• Consistent and structured model outputs
• Optional dependency injection system for testing and eval-driven iterative development
• Ability to stream LLM outputs continuously for rapid and accurate results

Conclusion

PydanticAI is a powerful Python agent framework that simplifies the process of building production grade applications with Generative AI. It provides seamless integration with Pydantic Logfire for real-time debugging and performance monitoring. With its type-safe environment and Python-centric design, developers can leverage Python's control flow and agent composition to build AI-driven projects. PydanticAI ensures consistent and structured model outputs, and offers an optional dependency injection system for testing and eval-driven iterative development. Its ability to stream LLM outputs continuously enables rapid and accurate results. Try PydanticAI today and experience the power of building AI applications with ease.