SemanticKernel.PowerFx

This repo is a proof-of-concept for adding low-code native functions to Semantic Kernel using Power Fx.

Semantic Kernel

Semantic Kernel is an open source project from Microsoft. It is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of code.

Orchestration

What makes Semantic Kernel (SK) most interesting is its orchestration and planning capabilities. Given a set of plugins, SK is able to determine a list of plugins to use based on the ask from a user. It is able to chain these together and pair inputs and outputs between them to come to an answer.

Plugin functions

Beyond supporting the recently standardized plugins for OpenAI, Semantic Kernel (SK) allows you to create your own functions as plugins. SK supports semantic functions, which are basically prompts for an LLM with defined inputs and outputs, as well as native functions. Native functions are functions that are defined ahead of time in the host of the SK. These functions can be written in C# or Python.

Low-Code Power Fx Functions

So the question is - why shouldn't we be able to define functions with low code as well? Suppose a low-code environment has the ability to expose its functions (predefined ones and/or user defined ones) to the Semantic Kernel, it would allow for users of that app to use natural language to execute commands. Power Fx is another open source Microsoft project that provides a low code functional language with an Excel-like syntax.

Disclaimer

The code here is provided as-is. It is my own personal project and just a proof-of-concept. This is not an officially sanctioned or supported project.