Using Azure OpenAI in a Logic App Workflow

Azure Logic Apps provide a low-code way to automate workflows, integrating with various services like Azure OpenAI to enable AI-driven automation. In this article, we'll create a Logic App that leverages Azure OpenAI for text generation using GPT models.

Prerequisites

Before you begin, ensure you have,

An Azure subscription
An Azure OpenAI resource (GPT-4 or GPT-3.5-turbo deployed)
An API Key and Endpoint from the Azure OpenAI resource
Access to the Azure Portal

Step 1. Set Up Azure OpenAI.

Go to Azure Portal and search for Azure OpenAI.
Click Create and deploy the required GPT model.
Navigate to the Keys and Endpoint section and copy the API Key and Endpoint.

Step 2. Create a Logic App.

In Azure Portal, search for Logic Apps.
Click Create and choose Consumption Plan.
Select a Resource Group, enter a Logic App name, and choose a Region.
Click Review + Create, then Create.

Step 3. Design the Logic App Workflow.

Add an HTTP Trigger

Open the Logic App Designer.
Choose "When an HTTP request is received" as the trigger.
Click "Use sample payload" and enter the following JSON.
```
{
    "question": "What is AI?"
}
```

Call Azure OpenAI API

Click "New Step" and add an HTTP Action.
Configure it as follows.
- Method: POST
- URL: {your Azure OpenAI endpoint}/openai/deployments/{deployment_name}/chat/completions?api-version=2024-02-01
- Headers
  - Content-Type: application/json
  - api-key: {your_api_key}
- Body

{
  "messages": [
    {
      "role": "system",
      "content": "You are an AI assistant."
    },
    {
      "role": "user",
      "content": "@{triggerBody()['question']}"
    }
  ],
  "max_tokens": 100
}

HTTP

Return AI Response

Click "New Step" and add "Response".
Set Status Code to 200.
In the Body field, add @body('HTTP')?['choices'][0]['message']['content'].

Step 4. Test the Logic App.

Click "Save," click Run, and select Run with payload.
Add {"question": "What is AI?"} in the body.
The response will contain AI-generated text.

Use Cases

Automated AI Chatbot for Teams, Slack, or web apps.
Email Automation using AI-generated responses.
Content Summarization for customer support and research.
Sentiment Analysis for analyzing customer feedback.

Conclusion

By integrating Azure OpenAI with Logic Apps, we can build powerful AI-driven workflows without writing complex code. This approach allows automation of various business processes, enhancing productivity and efficiency.