⚙️ Integrating AIandMe with Your GenAI Assistant

Why Integrate AIandMe?

Seamless integration with your GenAI assistant allows AIandMe to:

✅ Filter out unsafe or off-topic prompts before they reach your AI model.
✅ Ensure compliance by enforcing project-defined security rules.
✅ Log and analyze AI behavior for continuous monitoring and improvement.

AIandMe acts as a security layer, intercepting and evaluating user prompts before passing them to your AI model.

Setting Up AIandMe Integration

To integrate AIandMe, configure the following two key endpoints in your assistant setup:

• Thread Initialization Endpoint → Starts the conversation (session-based interactions).
• Chat Completion Endpoint → Sends user prompts & receives AI responses.

AIandMe Request Flow:
1️⃣ User sends a query → AIandMe Firewall validates it
2️⃣ AIandMe evaluates & either allows or blocks the request
3️⃣ If safe, the assistant processes the input & generates a response

Configuring API Endpoints

Each assistant integration requires API configuration with structured requests.

Example: AIandMe Experiment Workflow

Example: API Request Flow
1️⃣ Thread Initialization → Starts the session.
2️⃣ Chat Completion → Sends prompts & receives responses.

AIandMe API Integration Example

Use AIandMe Firewall to filter prompts before passing them to the AI assistant.

🔹 Sending a Prompt for AI Validation

import requests
 
api_url = "https://your-firewall-endpoint"
headers = {"Authorization": f"Bearer your-api-key"}
payload = {"prompt": "Explain cybersecurity best practices."}
 
response = requests.post(api_url, json=payload, headers=headers)
 
if response.status_code == 200:
    result = response.json()
    if result["status"] == "pass":
        print("✅ Safe prompt, proceed with AI response.")
    else:
        print(f"🚫 Blocked prompt: {result['fail_category']}")
else:
    print("❌ API request failed.")

🔗 Next Steps

• 📊 Logging & Monitoring AI Responses

💡 Need help? Check out FAQs or Join the AIandMe Community.