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This blog will guide you through the integration steps of bringing your custom azure ai agent service within an azure function app, into a copilot studio solution and publishing it to m365 and teams applications. I've explored the suggestions from multiple discussions, but no luck yet. Azure ai foundry agents can now be deployed directly to microsoft 365 copilot, teams, and other platforms using the microsoft 365 agents sdk & toolkit

This enables organizations to integrate custom ai models into widely used productivity tools. We attempted using different interfaces apart from teams to interact with foundry models, and those were successful Deploying your azure ai foundry agent to microsoft 365 copilot, microsoft teams, and beyond

In this tutorial, we’ll see how to deploy an existing azure ai foundry agent to.

Making an azure ai foundry agent available in m365 copilot, using m365 agents sdk/toolkit View the video to see how it works and part of the tutorial To use this sample, you'll need Use the azure cli and 'az login' on your azure tenant containing your azure ai foundry project.

Learn how to connect a custom model from azure ai foundry to microsoft copilot studio—and why it matters Learn how to ask the foundry agent for help, getting your questions answered based on azure ai foundry documentation and model catalog Learn how to start using azure ai foundry agent service Demonstrate fundamental ai concepts related to the development of software and services of microsoft azure to create ai solutions.

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