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This sample app can be use to streaming scenarios in Teams using Azure Open AI and Bot Framework v4 for personal scope. |
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This bot has been created using Bot Framework and Azure Open AI as a secondary/alternative option to using Teams AI SDK.
Its main purpose is to demonstrate how to build a bot connected to an LLM and send messages through Teams.
- Bots
- Azure Open AI
- Streaming
Important
This bot doesn't save any context calls. Therefore, each interaction is individual and unique.
- Microsoft Teams is installed and you have an account
- Have an Azure Open AI resource and a corresponding deployment
- Have an Azure Bot
- .NET SDK version 6.0
- dev tunnel or ngrok latest version or equivalent tunnelling solution
- Teams Toolkit for Visual Studio
The simplest way to run this sample in Teams is to use Teams Toolkit for Visual Studio.
- Install Visual Studio 2022 Version 17.10 Preview 4 or higher Visual Studio
- Install Teams Toolkit for Visual Studio Teams Toolkit extension
- In the debug dropdown menu of Visual Studio, select Dev Tunnels > Create A Tunnel (set authentication type to Public) or select an existing public dev tunnel.
- In the debug dropdown menu of Visual Studio, select default startup project > Microsoft Teams (browser)
- In Visual Studio, right-click your TeamsApp project and Select Teams Toolkit > Prepare Teams App Dependencies
- Using the extension, sign in with your Microsoft 365 account where you have permissions to upload custom apps.
- Select Debug > Start Debugging or F5 to run the menu in Visual Studio.
- In the browser that launches, select the Add button to install the app to Teams.
If you do not have permission to upload custom apps (sideloading), Teams Toolkit will recommend creating and using a Microsoft 365 Developer Program account - a free program to get your own dev environment sandbox that includes Teams.
- In Azure portal, create an Azure Open AI service.
- Deploy Azure Open AI model: Deploy the
gpt-35-turbo
model in your created Azure Open AI service for the application to perform translation. - Collect
AzureOpenAIEndpoint
,AzureOpenAIKey
,AzureOpenAIDeployment
values and save these values to update in.appsettings.json
file later.
Note these instructions are for running the sample on your local machine, the tunnelling solution is required because the Teams service needs to call into the bot.
-
Run ngrok - point to port 3978
ngrok http 3978 --host-header="localhost:3978"
Alternatively, you can also use the
dev tunnels
. Please follow Create and host a dev tunnel and host the tunnel with anonymous user access command as shown below:devtunnel host -p 3978 --allow-anonymous
-
Setup for Bot
In Azure portal, create a Azure Bot resource.
- For bot handle, make up a name.
- Select "Use existing app registration" (Create the app registration in Microsoft Entra ID beforehand.)
- If you don't have an Azure account create an Azure free account here
In the new Azure Bot resource in the Portal,
- Ensure that you've enabled the Teams Channel
- In Settings/Configuration/Messaging endpoint, enter the current
https
URL you were given by running the tunneling application. Append with the path/api/messages
-
Clone the repository
git clone https://github.com/OfficeDev/Microsoft-Teams-Samples.git
-
If you are using Visual Studio
- Launch Visual Studio
- File -> Open -> Project/Solution
- Navigate to
samples/bot-streaming/csharp
folder - Select
StreamingBot.csproj
orStreamingBot.sln
file
-
Update the
appsettings.json
configuration for the bot to use the MicrosoftAppId, MicrosoftAppPassword, MicrosoftAppTenantId generated in Step 2 (App Registration creation). (Note the App Password is referred to as the "client secret" in the azure portal and you can always create a new client secret anytime.)- Also, set MicrosoftAppType in the
appsettings.json
. (Allowed values are: MultiTenant(default), SingleTenant, UserAssignedMSI)
- Also, set MicrosoftAppType in the
-
Run your bot, either from Visual Studio with
F5
or usingdotnet run
in the appropriate folder. -
This step is specific to Teams.
- Zip up the contents of the
appPackage
folder to create amanifest.zip
(Make sure that zip file does not contains any subfolder otherwise you will get error while uploading your .zip package) - Upload the
manifest.zip
to Teams (In Teams Apps/Manage your apps click "Upload an app". Browse to and Open the .zip file. At the next dialog, click the Add button.) - Add the app to personal scope (Supported scopes)
- Zip up the contents of the
Note: If you are facing any issue in your app, please uncomment this line and put your debugger for local debug.
Welcome Streaming Card Displayed in Teams:
User Asking a Question to the Bot:
Streaming Results from the Bot in Teams:
Bot's Response to the User's Question:
To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.