Category Archives: Essentials
Important for programmers to remember
No one ever wanted a ⅛ inch drill bit. What they want is a ⅛ inch hole.
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Using Session State
My demo program is a multi-agent application that accepts a topic BlogAgent, researches that topic (ResearcherAgent) and then drafts a blog post (AuthorAgent). The post is then reviewed by another agent (ReviewerAgent) who either accepts the draft or sends it … Continue reading
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Microsoft Tenants
What is an Azure tenant (Microsoft Entra ID tenant) — and what is it used for? tl;drAn Azure tenant — now called a Microsoft Entra ID tenant — is a dedicated, isolated instance of Microsoft’s identity service that represents an … Continue reading
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Agent Skills 101
tl;drImagine an AI assistant in your company that can write emails, check expense reports, and run CI pipeline steps — but it has every capability baked into one giant prompt. It’s slow, expensive, brittle, and dangerously able to access systems … Continue reading
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An Overview of Agent Memory for .NET
The ability for Microsoft Agent Framework agents to retain and utilize knowledge across interactions is critical. One solution for this is Agent Memory for .NET, a cutting-edge, mind-blowing, graph-native memory engine that leverages the robust capabilities of Neo4j as its … Continue reading
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ChatClient Middleware vs. Agent Middleware
As noted in a previous post, middleware plays a pivotal role in enhancing the functionality and observability of agents. The Microsoft Agent Framework utilizes two primary types of middleware: ChatClient Middleware and Agent Middleware. Understanding the distinctions between these two … Continue reading
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Agentic Table of Contents (so far)
1 RAG – A quick example 2 RAG in detail 3 Deeper into RAG 4 The R in RAG 5 PEAS for Agentic AI 6 AI Reasoning and Planning 7 REACT and Agents in AI 8 Creating a multi-agent system … Continue reading
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Limit token usage in Microsoft Agent Framework
In the rapidly evolving landscape of artificial intelligence, managing costs associated with API usage is a critical concern for developers. The Microsoft Agent Framework offers a powerful tool in this regard: ChatClientAgentRunOptions. This component allows developers to cap the number … Continue reading
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Dependency Injection & Agent Framework
In the previous blog posts we ported a Python implementation of an agentic application to C# and Microsoft Agent Framework. We used interfaces, but we did not use Dependency Injection (DI). It is pretty easy to add. Agents, tools, executors … Continue reading
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Migrating Agentic Code Python -> C# Part 2
In Part 1 of this multi-part series, I laid out my goal to migrate the Python agentics program from the previous series to C#. To do this migration I’m going to work my way down through my Python script and … Continue reading
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Creating a multi-agent application. Part 2
In my previous post, I showed the output of a multi-agent application I wrote to create blog posts (not to worry, it is for demonstration purposes only). In this post, I will begin the process of working through the code, … Continue reading
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AI Reasoning and Planning
Until very recently, it was observed that LLMs had a very hard time with complex problems. Context was lost, memory of previous steps was distorted, and so forth. This led to unreliable results (hallucinations) and, consequently, to a lack of … Continue reading
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Tagged Agentics, AI, Chain-of-thought
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