Get Started with Arthur Platform

This guide will help you:

• Obtain a basic understanding of the Arthur Platform
• Setup Arthur’s Prompt Injection Detection Capabilities with a Gen AI app

System Requirements

Before you begin, make sure your system meets the following requirements:

• Docker Desktop or CLI
• macOS, Windows (including WSL), or Linux
• Open AI Key (You can create one here)

Step 1: Create a new Arthur Project

Head over to platform.arthur.ai/signup and create a new Arthur account. Go through the onboarding flow by selecting Generative AI Agent or Chatbot -> Install Arthur Engine -> Next.

Paste the curl command into your terminal, this will pull all the required docker images and spin up the open-source Arthur engine using docker-compose on your local machine.

Once all the containers are spun up, heading back to the browser the Waiting for Arthur Engine loader text should say Success: Arthur Engine is connected . Click on Complete -> Connect Your First Use Case.

Step 2: Create a new model

Name your model and in the Engines list select the Default engine you just setup on your local machine. On the next screen you will need to setup a metric, for this guide we’ll select Prompt Injection as the metric type and leave all the other defaults and hit Save . Continue through all the setup screens and your model should take a few mins to setup.

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Arthur supports various different metrics / LLM guardrails for GenAI models such as hallucination detection, PII redaction, toxicity, etc. You can always configure additional metrics under the Model Management settings.

Step 3: Test it in Chat Playground

After, your model is setup, you should see a success modal. Click on the Open Chat button to open the chat playground or navigate to it by going into <Project Name> -> Project Overview -> Chat Playground .

Paste in your Open AI API key, and select any model from the drop down.

Now you can start chatting with the OpenAI model, and see how Arthur blocks prompt injections.

Now that you've got Arthur Engine setup, everytime a prompt injection is detected, you should see a red exclamation point next to the message. You can also go to Inference Deep Dive tab to see results of which messages got detected by all the different metrics.

You’re all set 🥳

↪ Questions? Email [email protected] to learn more or get help.