How to Build a Self-Hosted AI Gateway With LiteLLM and Open WebUI
The article discusses how to build a self-hosted AI gateway using LiteLLM and Open WebUI. It highlights the challenges of managing multiple AI endpoints and presents a solution that simplifies integration by using a single API layer. The setup is designed for developers and teams looking to streamline their AI infrastructure.
- ▪The LiteLLM gateway allows multiple AI providers to be accessed through a single OpenAI-compatible endpoint.
- ▪Open WebUI serves as the unified chat interface for interacting with the AI models.
- ▪The entire setup can be completed in under 45 minutes using Docker and requires minimal configuration.
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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3933466) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Khalifa Muyideen Posted on May 21 • Originally published at hackernoon.com How to Build a Self-Hosted AI Gateway With LiteLLM and Open WebUI #docker #selfhosted #ai #devops If you've ever self-hosted AI tools, you know how quickly things get messy. One app talks to OpenAI. Another uses Anthropic. You spin up Ollama locally and now there's a third endpoint to manage. Authentication is different everywhere. Switching models means rewriting integration code.
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