​
Installation Guide

Follow this guide to install OVADARE and set up your development environment.

​
Prerequisites

Ensure you have:
  • Python 3.7 or higher installed.
  • A virtual environment for project isolation (recommended).

​
Step 1: Install OVADARE

Install OVADARE via pip: 
pip install ovadare

​
Step 2: Verify Installation

To confirm the installation, run the following command in your terminal: 
-m pip show ovadare
You should see output similar to this: 
Name: ovadare
Version: 0.1.3
Summary: A framework for conflict detection and resolution in multi-agent systems.
Home-page: https://github.com/nospecs/ovadare
Author: Oren Mukades
Author-email: ai@ovadare.com
License: MIT

​
Step 3: Initialize OVADARE in Your Project

Create a Python script or integrate OVADARE into your existing multi-agent workflow. Start by importing OVADARE modules: 
from ovadare.agents.agent_registry import AgentRegistry
from ovadare.conflicts.conflict_detector import ConflictDetector
from ovadare.resolution.resolution_engine import ResolutionEngine

​
Step 4: Set Up Your Environment (Optional)

To configure OVADARE for advanced features, create a .env file in your project directory with custom settings: 
CONFLICT_STORAGE_FILE=conflicts_data.json
RESOLUTION_STRATEGY=adaptive
Install python-dotenv to load environment variables: 
pip install python-dotenv

​
Step 5: Run Example Scripts

Test OVADARE with the built-in example scripts provided in the GitHub repository. Clone the repository and navigate to the examples folder: 
bash
git clone https://github.com/nospecs/ovadare.git
cd ovadare/examples
python example_integration.py

​
Troubleshooting Installation Issues

  • Dependency conflicts: Run pip install --upgrade pip and try installing OVADARE again.
  • Module not found: Verify the virtual environment is active and OVADARE is installed inside it.
  • Compatibility issues: Ensure Python 3.7 or higher is being used.
For more help, see the Troubleshooting Guide.

​
Next Steps

Once installed, proceed to the Quickstart Guide to start using OVADARE in your project.