AI Gateway - LiteLLM Walkthrough Lab

This lab introduces LiteLLM, an open-source AI gateway that simplifies how you manage access to large language models (LLMs). As organizations deploy multiple AI models across different providers, LiteLLM offers a unified control layer that addresses key challenges in enterprise AI adoption.

Through hands-on exercises, you'll learn how to:

• Centralize access to multiple AI models through a single API
• Set up user and team permissions for controlled model access
• Create and manage API keys with appropriate access levels
• Monitor usage, costs, and performance in real-time
• Implement rate limiting to prevent excessive usage and costs

Primary Goals

1. Learn to centralize management of LLM access across multiple providers
2. Gain practical experience with AI gateway configuration and administration
3. Implement governance and cost controls for AI model usage

Specific Objectives

• Set up team-based access controls for LLM resources
• Create and manage API keys with appropriate permissions
• Configure and test rate limiting to prevent excessive usage
• Monitor token consumption and associated costs in real-time
• Integrate LiteLLM with client applications while maintaining the OpenAI API standard
• Understand how to protect infrastructure through effective rate limiting

The lab aims to equip you with the skills to deploy LLMs in production environments with proper governance, cost management, and flexibility to adapt as AI technologies evolve.

• Windows 11 Jumpbox
• Ubuntu Server Docker host
• LiteLLM
• OpenWebUI