LiteLLM Proxy Tutorial: Track Costs, Budgets, and Multi-Provider LLM Usage

In this video, we walk through how to use LiteLLM as a unified proxy layer between your application and multiple LLM providers, allowing you to track token usage, control spending, and enforce budgets in real time. You’ll see how to connect OpenAI models, custom self-hosted models, and fine-tuned deployments under a single interface, while monitoring cost, latency, and usage through a built-in dashboard. You’ll learn how to: Use LiteLLM as a proxy between your app and multiple LLM providers Route requests to OpenAI, Anthropic, and self-hosted models using a single interface Configure cust…