Jason Haley

Ramblings from an Independent Consultant

Semantic Kernel Hello World Planners Part 2

Last week in the Semantic Kernel Hello World Planners Part 1 entry, I used the Handlebars planner to implement the sample Hello World functionality and then looked at the token difference between using a saved plan vs. generating a plan. In this entry I use the Function Calling Stepwise Planner to create the sample Hello World functionality and compare it to the implementation in the Semantic Kernel Hello World Plugins Part 3 entry.

Semantic Kernel Hello World Planners Part 1

A few weeks ago in the Semantic Kernel Hello World Plugins Part 3 blog entry, I showed how to use OpenAI Function Calling. The last half of that entry was all about how to view the response and request JSON going back and forth to OpenAI, which detailed four API calls. In this entry I look at using the Handlebars Planner to accomplish the same functionality. Then I’ll show the request and response JSON for both using a saved plan as well as having the LLM create a plan and end with a token usage comparison.

Memphis Azure User Group

Last Thursday night I spoke at the Memphis Azure User Group, it was nice to meet some people in person and see how excited others are about finding valuable ways to work GenAI into their applications. I also gave my slide deck a completely new look (Memphis themed via Bing/create): Talk: Getting Started with Retrieval Augmented Generation (RAG) The presentation pdf can be downloaded here. Since the presentation was hybrid, there were not as many questions as the other two times I’ve given the talk … or that is my guess at the reason why it was so quiet.

Semantic Kernel Hello World Plugins Part 3

Last week I blogged Part 2 showing the creation of a native function plugin, in this post I want to take that native function a step further and use the OpenAI Function calling. This will allow us to not provide the current date when making the call to get a historic daily fact and have OpenAI call a function to get the current date. I’ve added the HelloWorld.Plugin3.Console project to the GitHub repo for the code in this blog entry.

Semantic Kernel Hello World Plugins Part 2

Two weeks ago I blogged Part 1, in which I moved the prompt to a prompt template. In this part, I implement a native function that will take in the current date and make the call to the LLM. I’ve put the code for this blog in the HelloWorld.Plugin2.Console project in the same repo as the other SK entries: semantic-kernel-getting-started. Semantic Kernel Plugin: Native Function There is a good Microsoft Learn module: Give your AI agent skills that walks you through the details of what a native function is and how to implement them.

My Session at Boston Global Azure Bootcamp

This past weekend was Boston Azure’s Edition of the annual Global Azure Bootcamp. This year we focused on AI and hands-on-labs. The odd thing about when we scheduled the meetup was we had a lot of people sign up for the group just to rsvp - before most of the existing members had gotten around to rsvp’ing. We did not expect that. It is a mystery as how they heard about the event so quick.

Semantic Kernel Hello World Plugins Part 1

A couple of weeks ago, in my last entry I created a simple Hello World application with Semantic Kernel. Since then, I’ve worked my way through the MS Learning path: APL-2005 Develop AI agents using Azure OpenAI and the Semantic Kernel SDK - which I highly recommend if you are also learning SK. In this entry I’m going to start with the code from the last entry and extract the prompt to a plugin.

Semantic Kernel Hello World

This past Thursday night after the Virtual Boston Azure meetup, Bill Wilder (@codingoutloud) created an AI mini-workshop (hands on) for the attendees that were interested in getting hands on with code using the Azure OpenAI API. This post is me using the same idea but with Semantic Kernel. OpenAI Chat Hello World C# Bill provided the following code for us to get a simple OpenAI chat working: using Azure; using Azure.

Boston Code Camp 36 Sessions

Yesterday was Boston Code Camp 36 hard to believe it has been going on for 20+ years now. For me it is one of those regular events for the Boston tech community that is well worth spending a Saturday attending. It was nice to see a lot of regular faces and meet some new people. Talk: Getting Started with Retrieval Augmented Generation (RAG) I was surprise the room was full, it was good to see so many developers, students and architects - mostly with .

Demo Review: Azure Vector Search AI Assistant

Demo Review: Azure Vector Search AI Assistant This is the fourth C# demo in The RAG Demo Chronicles (Blog Series) and is the first demo so far that saves its history to a database. This Retrieval Augmented Generation (RAG) demo is a little different than the last three because it primarily uses data from a database as the content to search instead of documents. It also uses Semantic Kernel more than other demos have, which is neat to see too.