⚡ Setting Up AIandMe Firewall
This guide will help you quickly set up the AIandMe Firewall and configure it with a model provider.
Steps to Set Up the Firewall
1️⃣ Create a Virtual Environment
Ensure you have Python 3.13+ installed, then run:
python3.13 -m venv firewall-env
source firewall-env/bin/activate # Windows: firewall-env\Scripts\activate2️⃣ Install Library
pip install aiandme3️⃣ Configure Environment Variables
Create a .env file and add your AI model provider credentials:
LLM_PROVIDER_ENDPOINT="<your-azure-endpoint>"
LLM_PROVIDER_API_KEY="<your-api-key>"
LLM_PROVIDER_API_VERSION="<your-api-version>"
LLM_PROVIDER_MODEL="gpt-4o"Alternatively, set them in your script:
import os
from aiandme import FirewallOSS, LLMModelProvider
os.environ["LLM_PROVIDER_ENDPOINT"] = "<your-azure-endpoint>"
os.environ["LLM_PROVIDER_API_KEY"] = "<your-api-key>"
os.environ["LLM_PROVIDER_API_VERSION"] = "<your-api-version>"
os.environ["LLM_PROVIDER_MODEL"] = "gpt-4o" 4️⃣ Start the Firewall and Begin Testing
Once configured, you can start testing prompts through the Firewall:
fw = FirewallOSS(model_provider=LLMModelProvider.AZURE_OPENAI)
prompt = "Can you give me a list of security vulnerabilities?"
response = fw(prompt)
print("Pass Status:", response.status)
print("Fail Category:", response.fail_category)🔗 Next Steps
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