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litellm

LiteLLM is a Python SDK and proxy server to unify 100+ LLM APIs, enabling calls in OpenAI format. This is a critical tool for abstracting LLM providers, offering features like cost tracking, load balancing, and guardrails.

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Questions & Answers

What is LiteLLM?
LiteLLM is an open-source Python SDK and AI Gateway (proxy server) designed to simplify interactions with over 100 large language models (LLMs). It allows users to call various LLM APIs using a unified OpenAI-compatible format.
Who can benefit from using LiteLLM?
LiteLLM is ideal for developers and enterprises working with multiple LLM providers, who require a standardized API interface, cost tracking, load balancing, and guardrail features. It's suitable for projects needing to switch between LLMs easily or manage complex LLM deployments.
How does LiteLLM compare to other LLM integration libraries?
LiteLLM distinguishes itself by offering both a Python SDK for direct integration and a self-hosted proxy server (AI Gateway). This dual approach, combined with support for over 100 LLMs and features like virtual keys and enterprise readiness, provides a comprehensive solution beyond simple API wrappers.
When should I use LiteLLM in my LLM application?
You should use LiteLLM when you need to integrate multiple LLM providers into a single application, want to standardize your LLM API calls to the OpenAI format, or require advanced features such as request logging, rate limiting, and automatic model fallback for reliability and cost control.
What specific technical features does LiteLLM offer for LLM management?
LiteLLM provides features like cost tracking, guardrails, and load balancing across different LLMs. It also supports various endpoints beyond /chat/completions, including /embeddings, /images, and agent-to-agent (A2A) protocol for advanced AI workflows.