In this tutorial, I'll show you how to implement a local LLM API with LangChainJS in an Express.JS project in just a few steps – without a custom interface! Using my open source library "Ollama API Facade JS," 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 NodeJS developers who want to quickly get started with local AI models and rely on a ready-to-use UI.
🔥 What you'll learn in this video:
Setting up LangChainJS in a Node.js project
Using Open WebUI as a ready-to-use chat interface
Installing and configuring Ollama API Facade JS
Connecting local LLMs with LM Studio
Integrating LangChainJS tools
Analyzing and debugging HTTP communication (Burp Suite)
📦 GitHub repo for the library:
https://github.com/GregorBiswanger/Ol...
🎯 Target audience:
JavaScript developers, Node.js professionals, LangChainJS users, developers focused on AI and local language models
▼ ▼ ▼ Timestamps ▼ ▼ ▼
[00:00:00] Teaser
[00:00:30] Intro
[00:01:26] Introduction
[00:02:18] Open WebUI & Ollama
[00:04:45] New Express.js Project
[00:06:03] Local LLMs with LM Studio
[00:07:38] Setting up the Ollama API Facade
[00:14:05] Integrating Function Calling
[00:18:37] Debugging HTTP Communication
[00:23:55] Conclusion
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My equipment & tools:
https://kit.co/GregorBiswanger/gregor...
#langchainjs #openwebui #LLM #ArtificialIntelligence #nodejs #expressjs #Ollama #LMStudio #AIdevelopment #devtutorial #burpsuite