LiteLLM: Free Open Source Gateway to Manage All Your LLM Providers

Quick Overview

The video demonstrates how to deploy and utilize LiteLLM, a free, open-source LLM gateway, on the Elestio platform, covering setup, model configuration with OpenAI and Google AI Studio, team management for access control, and usage tracking in the analytics dashboard.

Key Points: LiteLLM functions as a unified proxy server allowing developers to call over 100+ LLMs via a single OpenAI-compatible API. The tutorial shows deploying LiteLLM via Elestio by selecting it from the AI/GPU services catalog, configuring service details, and selecting a plan (e.g., Netcup provider, Medium-2C-4G plan). New models, such as Google's Gemini models, can be added by selecting the provider (e.g., Google AI Studio) and inputting credentials in the Model Management section. The platform supports creating 'Teams' to manage access control, allowing admins to assign specific models (e.g., All Proxy Models or specific OpenAI models) and set budget/rate limits for team members. Virtual keys, which can be assigned to specific teams, are created and used in the Playground to test connectivity and model responses across different providers like OpenAI and Gemini. The Usage section provides detailed observability, including total spend ($0.0003 spent in the example), request metrics (4 successful requests, 172 total tokens), and spend breakdown by provider (Gemini and OpenAI). The video concludes by showing how to manage member permissions within a team, controlling access to API endpoints like key generation and deletion.

Context: This video serves as a tutorial demonstrating the deployment and practical use of LiteLLM, an open-source LLM gateway, hosted on the Elestio cloud platform. LiteLLM aims to simplify access to numerous large language models (LLMs) by providing a unified API interface, enabling features like cost tracking, fallbacks, and rate limiting across various providers like OpenAI and Google AI Studio.

Detailed Analysis

The video guides the user through setting up LiteLLM on the Elestio platform, emphasizing its role as a free, open-source gateway to manage diverse LLM providers via a single API. The initial steps involve selecting LiteLLM from the Elestio service catalog (00:06), configuring the deployment settings (provider Netcup, plan Medium-2C-4G at 00:58), and waiting for the service to deploy (01:15). Once deployed, the user accesses the LiteLLM dashboard (01:23) and proceeds to the Model Management section (01:57) to add new models. The tutorial adds an OpenAI model by selecting the provider and using 'All OpenAI Models (Wildcard)' (02:20), and then adds a Google AI Studio model, specifically 'gemini-3-flash-preview' (03:24), demonstrating how to input credentials and test the connection (02:56). The video then moves to Access Control, showing how to create a Team named 'Elestio' (03:44) with specific model access (All Proxy Models) and budget limits ($100 weekly reset) (04:17). Within the team settings, member roles (Admin/User) and specific API permissions can be configured (04:49). Finally, the user tests the setup in the Playground (05:54), using a Virtual Key (06:06) and switching the model to 'gemini-3-flash-preview' (06:31) to confirm functionality. The session concludes by viewing the Usage dashboard (07:08), which shows $0.0003 spent across 4 successful requests using both Gemini and OpenAI models, confirming that LiteLLM successfully routes and tracks usage across providers.