A minimal starter for Microsoft Semantic Kernel — an open-source SDK for orchestrating LLMs, plugins, and planners. This starter builds a ChatCompletionAgent with a custom plugin, powered by Nebius Token Factory.

Features

ChatCompletionAgent with streaming invocation
Custom TimePlugin demonstrating the @kernel_function decorator
Automatic function calling — the model decides when to invoke tools
Nebius Token Factory via the OpenAI-compatible connector

Prerequisites

Python 3.10+
Nebius API key — Nebius Token Factory

Installation

git clone https://github.com/Arindam200/awesome-ai-apps.git
cd awesome-ai-apps/starter_ai_agents/semantic_kernel_starter

pip install -r requirements.txt
# or: uv sync

Create .env:

cp .env.example .env
# set NEBIUS_API_KEY

Usage

python main.py

Example Queries

"What time is it right now?" (triggers the time.now plugin)
"Give me three ideas for an AI side project."
"Explain semantic kernels in one paragraph."

Technical Details

Framework: semantic-kernel (Python)
Agent: ChatCompletionAgent
Model: Qwen/Qwen3-30B-A3B via Nebius (OpenAIChatCompletion with custom base_url)
Plugin: TimePlugin (single @kernel_function)

README.md

Semantic Kernel Starter