How to Embed a Teammate
Summary
In this video, I explain how to integrate agents into your workflows using the Torque Agent module. I also discuss how to access AI agents in other applications, specifically when building a dashboard with custom datasets. I provide step-by-step instructions on embedding agents in external applications and offer coding language options. Watch this video to learn how to enhance your workflows and enable users to ask questions about your data.
How to Embed an Agent Video
Transcript*
0:02 The Torque Agent module is a straightforward way to integrate agents into your workflows. But what if you want to access AI agents in other applications?
0:10 Let's say you're building a dashboard with a variety of custom datasets and you want your users to be able to ask questions about your data.
0:17 Well, fortunately embedding agents in external applications is actually extremely straightforward. From the chat view here, you can simply click on the embed icon on the upper right hand side, choose a coding language, like Python, JavaScript, or curl, or stick with the standard HTML embedding format
0:39 , and then either select an API key which you can set if you want to control access to this chat flow or select no authorization.
0:49 And then you can simply click on the clipboard icon here to copy that code snippet, choose an application in which to embed this chat flow, and paste.
In this video, I explain how to integrate agents into your workflows using the Torque Agent module. I also discuss how to access AI agents in other applications, specifically when building a dashboard with custom datasets. I provide step-by-step instructions on embedding agents in external applications and offer coding language options. Watch this video to learn how to enhance your workflows and enable users to ask questions about your data.
How to Embed an Agent Video
Transcript*
0:02 The Torque Agent module is a straightforward way to integrate agents into your workflows. But what if you want to access AI agents in other applications?
0:10 Let's say you're building a dashboard with a variety of custom datasets and you want your users to be able to ask questions about your data.
0:17 Well, fortunately embedding agents in external applications is actually extremely straightforward. From the chat view here, you can simply click on the embed icon on the upper right hand side, choose a coding language, like Python, JavaScript, or curl, or stick with the standard HTML embedding format
0:39 , and then either select an API key which you can set if you want to control access to this chat flow or select no authorization.
0:49 And then you can simply click on the clipboard icon here to copy that code snippet, choose an application in which to embed this chat flow, and paste.
Updated on: 06/02/2025
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