In this tutorial, I'll show you how to implement a local LLM API with Semantic Kernel in an ASP.NET Core WebAPI project in just a few steps – without a custom interface! Using my open source library "Ollama API Facade," you can easily connect your backend to the Open WebUI, use local language models via LM Studio, and get professional debugging with Burp Suite.
🔧 Ideal for .NET developers who want to get started quickly with local AI models and rely on a ready-to-use UI.
🔥 What you'll learn in this video:
Setting up the Semantic Kernel in an ASP.NET Core project
Using Open WebUI as a ready-to-use chat interface
Installing and configuring the Ollama API Facade
Connecting local LLMs with LM Studio
Integrating Semantic Kernel plugins
Analyzing and debugging HTTP communication (Burp Suite)
📦 GitHub repo for the library:
https://github.com/GregorBiswanger/Ol...
🎯 Target audience:
.NET developers, ASP.NET Core professionals, Semantic Kernel users, developers focused on AI and local language models
▼ ▼ ▼ Timestamps ▼ ▼ ▼
[00:00:00] Teaser
[00:00:35] Intro
[00:01:09] Introduction
[00:02:00] Open WebUI & Ollama
[00:04:46] New ASP.NET Core Project
[00:05:35] Local LLMs with LM Studio
[00:06:25] Installing NuGet Packages
[00:07:50] Setting up the Ollama API Facade
[00:14:14] Custom Model Name
[00:15:30] Integrating the Semantic Kernel Plugin
[00:19:37] Debugging HTTP Communication
[00:24:25] Conclusion
💬 Become part of the community:
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💬 Discord for questions & discussion: / discord
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👥 Become a channel member: / @gregorbiswanger
📷 My equipment & tools:
👉 https://kit.co/GregorBiswanger/gregor...
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