Automating Responses: Integrating Logic Apps with ChatGPT via Microsoft Teams⚙️

Learn how to seamlessly manage Azure Logic Apps through Microsoft Teams for efficient workflow control! 🚀

integration of Azure Logic Apps with ChatGPT through Microsoft Teams for automating responses based on keywords. It communicates the automation aspect and the use of AI to enhance communication and workflow efficiency within teams 🔄"

Integrate Logic Apps with ChatGPT via Microsoft Teams

 Logic Apps is a part of Azure App Service, and it is basically used to automate the access and use of data across clouds without writing code. Azure Logic Apps enables customers to quickly build powerful integration solutions that connect applications and services on-premises and in the cloud.

It provides a visual designer to model and automates your process as a series of steps known as a workflow. Logic Apps allow developers to design workflows. Logic Apps is a fully managed iPaaS (integration Platform as a Service) allowing developers not to have to worry about building hosting, scalability, availability, and management. Logic Apps will scale up automatically to meet demand. 

 Overview:

In this article, discussed about how to Integrate Logic apps with ChatGPT

(Chat Generative Pre-Trained Transformer) via Microsoft Teams (MS Teams).

 Steps to Integrate Logic Apps with ChatGPT via MS Teams:

1. Firstly, Create Team & Channel in MS teams. (Team: Testing Logic Apps, Channel: General) 

2. Login to Logic apps.

3. Choose “When keywords are mentioned” in the trigger option & fill the required        parameters.

Message type                            : channel

Keywords to search for            : Question

Channels Channel – 1               : General

Team                                         : Testing Logic Apps

Note: Get the subscription for ChatGPT. It includes Endpoint, Key, Deployment Name.

 4. For Each Loop

• Select "For each" loop to process each message.

• Choose the appropriate output from previous steps.

5.Get message details:

In this get message details you can add the following steps

  Add conditions based on requirements.

o Message ID: Unique identifier for the message payload.

o Message type: Specifies receiving output from Teams channel.

o Teams: Selects specific Teams channel.

o Channel: Defines output channel (e.g., General).

o Parent message ID: Optional for replying to specific messages.

6. Setting Up HTTP POST Request.

1.HTTP POST URL:

1. This is the endpoint URL generated after saving your workflow. It triggers your workflow when a POST request is sent to it.

• Receive and respond to an HTTPS request for data in an cloud database.
• Receive and respond to an HTTPS request sent from another logic app workflow

2 .Request Body JSON Schema:

1. Defines the structure of the incoming request body. This schema helps in generating tokens for properties, allowing your workflow to parse and utilize inputs effectively.
2. If no schema is available, you can generate it from a sample payload.

Body Plain Text

3.     Body Plain Text:

o   Use this expression to extract plain text content from the incoming message:

Less

            body('Get_message_details')?['body']?['plainTextContent']

7. Compose Action

o   This step is crucial for capturing input from the HTTP request. It ensures that the data received can be processed further in the workflow.

8. Reply with Message in a Channel (Microsoft Teams)

 Reply with Message in a Channel:

• This action sends a message to a Microsoft Teams channel based on the input received.

• Additional steps within this action can be added for customization.
• Post As: Choose 'Flow bot' to post the message.
• Post in: Select the destination where the message will be posted (e.g., channel).
• Message ID: Use "Reply to message id" to link responses to specific messages, if needed.
• Team and Channel: Specify the Microsoft Teams team and channel where the message will appear (e.g., 'General').

 Workflow Name and Identifier ID:

 Get Identifier ID:

• Retrieve the workflow run identifier ID using:

    workflow().run.name

Get Workflow Name:

• Fetch the workflow name using:     

        workflow().name

conclusion:

In simple terms, integrating Logic Apps with ChatGPT via Microsoft Teams allows you to automate tasks based on keywords mentioned in Teams messages. It processes these messages, extrcts relevant information, and can respond with generated content back into the Teams channel where the query originated. This setup enhances efficiency by automating routine tasks and improving communication within your team environment.