Praxis AI
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    • 🎗️Introduction
    • 🧠Installation
  • Infrastructure
    • 🗞️Litepaper
    • 🖼️Framework Guide
    • ⚙️API Reference
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  • What is PraxisAI?
  • Key Features
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Introduction

Welcome to PraxisAI, a Python agent framework designed to make building production-grade AI applications less painful and more intuitive.

What is PraxisAI?

PraxisAIis a powerful framework that brings enterprise-grade reliability and developer-friendly design to generative AI application development. Built by the team behind Praxis, it inherits the robust type validation and intuitive design principles that have made Praxis a cornerstone of modern Python development.

Key Features

  • 🏢 Built by the Praxis Team: Created by the team behind the validation layer used in OpenAI SDK, Anthropic SDK, LangChain, and more

  • 🔄 Model-agnostic: Support for OpenAI, Anthropic, Gemini, Ollama, Groq, and Mistral

  • 📊 Logfire Integration: Real-time debugging and monitoring capabilities

  • ✅ Type-safe: Powerful type checking for robust applications

  • 🐍 Python-centric: Familiar Python patterns and best practices

  • 🏗️ Structured Responses: Validated and consistent model outputs

  • 💉 Dependency Injection: Built-in system for testing and development

  • 🌊 Streamed Responses: Continuous output with immediate validation

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Last updated 4 months ago

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