Posts

Determining how Azure AI Foundry Agents makes decisions is important for troubleshooting and debugging purposes. However, it can get a little complicated when our agents perform complex workflows. Our agents could perform numerous executions, making it difficult to track decisions made by all or them, or some agents may invoke tools, that invoke other tools, which invoke more tools! (And so on and so forth). Tracing our agents helps us see the inputs and outputs involved in a particular agent run, as well as the order in which those agents were invoked. In this blog post, I’ll talk about how tracing agents works, how we can do some simple tracing using the Azure AI Foundry Agents playground, and how we can implement tracing in our pro-code agents using OpenTelemetry. ...

As the technology advances, Generative AI models are becoming powerful enough to operate autonomously to automate tasks. This is improvement on being able to perform simple tasks in “chat” like applications. This allows us to build AI Agents, which are applications that can use generative AI models with contextual data to automate tasks based on user input and the context that they can perceive. In this article, I’ll talk about how we can build AI Agents using Azure AI Agent service. ...

I’ve lived in Melbourne for almost two years now, and throughout that time I’ve been trying to get my head around Australian rules, or AFL. I live pretty close to where Carlton Football Club train, so I’ve decided to support them (or as the Australians say “Go for them” 🤷). The more I learn about the game, the more I’m realizing that I may have set myself up for a lifetime of pain and dissappointment, but being an Arsenal fan since I was 6, I’m more than prepared for it 😂 ...

I’m making a conscious effort to deepen my knowledge on Semantic Kernel, and I just want an easy way to access LLMs and SLMs without having to go through Azure OpenAI (and pay for it). GitHub Models provides a number of AI models that you can use to build GenAI applications, particularly within Semantic Kernel. Semantic Kernel provides a lightweight framework for us to build AI applications and agents that use LLMs and other cloud services. Using Semantic Kernel, we can define workflows, apply reasoning over LLM outputs, and create complex AI workflows. ...

In this article, I’m going to show you how to deploy an AKS Automatic Cluster within your own custom virtual network using Bicep. An Azure Subscription A code editor - I’m using Visual Studio Code! The AZ CLI kubectl A bash shell (VS Code has an integrated terminal, Windows terminal is also pretty neat) If you don’t know what AKS Automatic is, we’ll cover that before we start. We’ll then work through the Bicep code that we need to provision a cluster with our own virtual network. ...