Installation

Follow these steps to set up AgentOpera in your environment.

📋 Installation with Conda Environment

Prerequisites

• Python 3.10 or higher

• Conda package manager

👉 Step 1: Create a Conda Environment

First, create a new Conda environment and activate it:

# Create a new environment named agentopera-env with Python 3.10
conda create -n agentopera-env python=3.10

# Activate the newly created environment
conda activate agentopera-env

👉 Step 2: Install AgentOpera

Install the AgentOpera package using pip:

# Install the latest version from PyPI
pip install agentopera

👉 Step 3: Verify the Installation

Verify that AgentOpera has been installed correctly:

# Import agentopera and check the version
python -c "import agentopera; print(f'AgentOpera version: {agentopera.__version__}')"

Step 4 (Optional): Install Dependencies

If you need development or testing capabilities, you can install additional dependencies:

# Install development dependencies
pip install "agentopera[dev]"

# Install code quality tools
pip install "agentopera[lint]"

# Install all optional dependencies
pip install "agentopera[all]"

💻 Installing from Source (Development Mode)

If you want to contribute to AgentOpera development, follow these steps to install it from source:

# Clone the repository
git clone https://github.com/tensoropera-ai/agentopera.git
cd agentopera

# Create and activate a Conda environment
conda create -n agentopera-dev python=3.10
conda activate agentopera-dev

# Install in development mode
pip install -e ".[all]"

🔧 Troubleshooting

If you encounter issues during installation, try the following steps:

1. Ensure your Conda environment is properly activated.

2. Update pip to the latest version: pip install --upgrade pip.

3. Check that you meet the minimum Python version requirement (3.10+).

4. If a dependency installation fails, try installing it separately.

If issues persist, please submit a problem report on GitHub Issues.

🚀 Next Steps

After installation, refer to our Quickstart guide to learn how to build and deploy multi-agent systems with AgentOpera.