← Back to Projects
Agentic Frameworks
🤖

PydanticAI

Pydantic AI is a Python framework for building type-safe, production-grade AI agents with seamless integration of generative models and robust data validation.

Intermediate open-source self-hosted
🐙 GitHub Repository 🌐 Official Website

Alternative To

  • • Custom AI Integration Solutions
  • • Commercial AI SDKs

Difficulty Level

Intermediate

Requires some technical experience. Moderate setup complexity.

Overview

PydanticAI is an open-source tool for AI experimentation and development.

System Requirements

  • CPU: 2+ cores
  • RAM: 4GB+
  • GPU:
  • Storage: 1GB+

Installation Guide

Prerequisites

  • Basic knowledge of command line interfaces
  • Git installed on your system

Manual Installation

  1. Clone the repository:

    git clone https://github.com/pydantic/pydanticai.git

  2. Navigate to the project directory:

    cd pydanticai

  3. Install dependencies:

    pip install -r requirements.txt

  4. Run the application:

    python app.py

  5. Access the application:

    Open your browser and navigate to http://localhost:8000 (port may vary based on the project)

Note: For detailed installation instructions specific to your operating system and environment, please refer to the official documentation on the project’s GitHub repository.

Practical Exercise: Getting Started with PydanticAI

Now that you have PydanticAI installed, let’s walk through a simple exercise to help you get familiar with the basics.

Step 1: Basic Configuration

After installation, you’ll need to configure some basic settings to get started.

# Example configuration steps cd pydanticaicp config.example.yml config.yml # Edit the config.yml file with your preferred settings

Step 2: Your First Project

Let’s create a simple project to test that everything is working correctly.

Example Task:

Create a simple model that can classify text or images.

Step 3: Exploring Advanced Features

Once you’re comfortable with the basics, try exploring some of the more advanced features:

  • Customize the model parameters to improve performance
  • Integrate with other tools or services
  • Optimize for your specific hardware configuration
  • Explore the API documentation to build custom applications

Resources

Official Documentation

The official documentation is the best place to find detailed information about PydanticAI.

Read the Documentation

Community Support

Join the community to get help, share your experiences, and contribute to the project.

GitHub Issues

Tutorials and Guides

Explore tutorials and guides created by the community to learn more about PydanticAI.

Find Tutorials on GitHub