Tag · 7 posts
#microsoft
Agent 365: who's keeping an eye on your agents?
Agents are popping up everywhere. Makers build them in Copilot Studio, developers ship them on Foundry, SharePoint sites come with a ready-made one, and partners sell them in the store. That's great, until someone asks a simple question: how many agents do we have, who owns them, and what are they allowed to touch?
aiAutopilots: agents with their own mailbox, Teams account and boss
Most agents live behind a chat box. You open a web app or Copilot, type a question, get an answer and close the tab. That's fine for questions. It's less fine for work that arrives by email at 7am, needs a look at a PDF, and should be answered in the same thread before anyone…
aiBuilding an AI Agent Server with AG-UI and Microsoft Agent Framework
In this post, I want to talk about the Python backend I built for an AG-UI demo project. It is part of a larger project that also includes a frontend that uses CopilotKit: This post discusses the Python AG-UI server that is built with Microsoft Agent Framework. All code is on GitHub: https://github.com/gbaeke/agui. Most of…
aiEnd-to-end authorization with Entra ID and MCP
Building an MCP server is really easy. Almost every language and framework has MCP support these days, both from a client and server perspective. For example: FastMCP (Python, Typescript), csharp-sdk and many more! However, in an enterprise scenario where users use a web-based conversational agent that uses tools on an MCP server, those tools might…
aiCreating a Copilot declarative agent with VS Code and the Teams Toolkit
If you are a Microsoft 365 Copilot user, you have probably seen that the words “agent” and “Copilot agent” are popping up here and there. For example, if you chat with Copilot there is an Agents section in the top right corner: Above, there is a Visual Creator agent that’s built-in. It’s an agent dedicated…
aiToken consumption in Microsoft’s Graph RAG
In the previous post, we discussed Microsoft’s Graph RAG implementation. In this post, we will take a look at token consumption to query the knowledge graph, both for local and global queries. Note: this test was performed with gpt-4o. A few days after this blog post, OpenAI released gpt-4o-mini. Initital tests with gpt-4o-mini show that…
aiEmbedding flows created with Microsoft Prompt Flow in your own applications
A while ago, I wrote about creating your first Prompt Flow in Visual Studio Code. In this post, we will embed such a flow in a Python application built with Streamlit. The application allows you to search for images based on a description. Check the screenshot below: There are a few things we need to…
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