Installation

Set up PraisonAI in your development environment

pip

pip install praisonai

Works everywhere. Installs everything. You’re welcome. 🚀

Installing PraisonAI

Follow these steps to set up PraisonAI in your development environment.

Code

1. Create Virtual Environment (Optional)

   First, create and activate a virtual environment:

   Mac/Linux

   python -m venv praisonai-env
   source praisonai-env/bin/activate
   
2. Install PraisonAI Agents

   Install the core PraisonAI Package:

   Terminal

   pip install praisonaiagents
   
3. Configure Environment

   Set your OpenAI API key as an environment variable in your terminal:

   Terminal

   export OPENAI_API_KEY=your_openai_key
   

No Code

1. Create Virtual Environment (Optional)

   First, create and activate a virtual environment:

   Mac/Linux

   python -m venv praisonai-env
   source praisonai-env/bin/activate
   
2. Install PraisonAI

   Install the PraisonAI package:

   pip install praisonai
   
3. Set API Key

   Set your OpenAI API key as an environment variable in your terminal:

   export OPENAI_API_KEY=your_openai_key
   

JavaScript

1. Install PraisonAI

   Install the PraisonAI package:

   npm install praisonai
   
2. Set API Key

   Set your OpenAI API key as an environment variable in your terminal:

   export OPENAI_API_KEY=your_openai_key
   

TypeScript

1. Install PraisonAI

   Install the PraisonAI package:

   npm install praisonai
   
2. Set API Key

   Set your OpenAI API key as an environment variable in your terminal:

   export OPENAI_API_KEY=your_openai_key
   

Generate your OpenAI API key from OpenAI You can also use other LLM providers like Anthropic, Google, etc. Please refer to the Models for more information.

Next Steps

Quick Start Guide

Build your first AI agent

API Reference

Explore the API documentation

---

Quick Install

macOS/Linux

curl -fsSL https://praison.ai/install.sh | bash

Windows

iwr -useb https://praison.ai/install.ps1 | iex

The installer automatically detects your OS, installs Python if needed, creates a virtual environment, and configures your PATH.

Requirements

• Python 3.10 or higher (auto-installed if missing)
• macOS, Linux, or Windows