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litellm

Unify access to 100+ LLM APIs through an OpenAI-compatible gateway.

Updated Mar 15, 2026
Search Tags:#deployment#proxy#multimodel#openai-compatible#litellm#llm-api-gateway
One-click install
npx skills add https://github.com/gujincheng1128/my-awesome-app --skill litellm-gujincheng1128
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: litellm
Source: https://github.com/gujincheng1128/my-awesome-app/tree/main/skills/litellm
Command: npx skills add https://github.com/gujincheng1128/my-awesome-app --skill litellm-gujincheng1128

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

LiteLLM unifies access to 100+ LLM APIs through an OpenAI-compatible gateway, simplifying multi-model usage and reducing integration overhead.

Core Features & Use Cases

  • Unified, OpenAI-format interface for disparate models and providers.
  • Intelligent load balancing, cost tracking, and rate limiting across services.
  • Secure key management and easy deployment for private proxy setups.
  • Use Case: Teams can switch between models without changing client code, while monitoring usage and costs.

Quick Start

Install LiteLLM using Docker or pip and begin sending OpenAI-compatible requests to the gateway.

Frequently Asked Questions about litellm

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I unify access to multiple LLM APIs without changing client code?▼

Use an OpenAI-compatible LLM API gateway to route requests to 100+ disparate models. This unifies multi-model usage into a single interface, reducing integration overhead while allowing you to switch between providers effortlessly.

Can I track API costs and apply rate limiting across different LLM providers?▼

Yes, a multi-model proxy provides intelligent load balancing, cost tracking, and rate limiting across services. This allows you to monitor usage and securely manage keys while routing requests to different LLM providers.

How do I deploy a secure proxy for OpenAI-compatible LLM requests?▼

Deploy the LLM API gateway using Docker or pip to establish a secure private proxy. This setup ensures deterministic behavior and secure key management for handling OpenAI-compatible requests across various models.

Does an LLM API gateway support multi-model routing for private setups?▼

Yes, the gateway supports multi-model routing for private setups. It applies operational requirements like deterministic behavior and secure proxy deployment to unify access to 100+ LLM APIs through an OpenAI-format interface.

What is the best way to manage multiple LLM API keys securely?▼

Implement an OpenAI-compatible gateway that includes secure key management and easy deployment. This centralizes key handling and simplifies multi-model usage while reducing integration overhead across diverse providers.

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