This Bot Framework v4 bot shows how to create a new thread in a Teams channel by sending a proactive message, then replying to that message.
This bot has been created using Bot Framework. This sample shows how to incorporate basic conversational flow into a Teams application. It also illustrates a few of the Teams specific calls you can make from your bot.
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.
-
Clone the repository
git clone https://github.com/Microsoft/botbuilder-samples.git
-
In a terminal, navigate to
samples/javascript_nodejs/58.teams-start-new-thread-in-channel
-
Install modules
npm install
-
Run ngrok - point to port 3978
ngrok http -host-header=rewrite 3978
-
Create Bot Framework registration resource in Azure
- Use the current
https
URL you were given by running ngrok. Append with the path/api/messages
used by this sample - Ensure that you've enabled the Teams Channel
- If you don't have an Azure account you can use this Bot Framework registration
- Use the current
-
Update the
.env
configuration for the bot to use the Microsoft App Id and App Password from the Bot Framework registration. (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.) -
This step is specific to Teams.
- Edit the
manifest.json
contained in theteamsAppManifest
folder to replace your Microsoft App Id (that was created when you registered your bot earlier) everywhere you see the place holder string<<YOUR-MICROSOFT-APP-ID>>
(depending on the scenario the Microsoft App Id may occur multiple times in themanifest.json
) - Zip up the contents of the
teamsAppManifest
folder to create amanifest.zip
- Upload the
manifest.zip
to Teams (in the Apps view click "Upload a custom app")
- Edit the
-
Run your bot at the command line:
npm start
You can interact with this bot by sending it a message. The bot will respond by sending a reply to the channel, and then responding to that reply.
To learn more about deploying a bot to Azure, see Deploy your bot to Azure for a complete list of deployment instructions.