---
schema: 1
type: term
title: LiteLLM
description: >-
  LiteLLM is a library that provides a unified interface for calling large
  language models, letting a builder work with many model providers through one
  consistent API.
canonical: 'https://liquidgold.cc/channel/everyinc/explore/term/litellm-00ec57d54878'
markdown: 'https://liquidgold.cc/channel/everyinc/explore/term/litellm-00ec57d54878.md'
llms: null
parent: 'https://liquidgold.cc/channel/everyinc/llms.txt'
channel: everyinc
updated: '2026-10-23T22:12:35.346Z'
language: null
children: []
---


# LiteLLM

Canonical: https://liquidgold.cc/channel/everyinc/explore/term/litellm-00ec57d54878

Parent: [Channel index](https://liquidgold.cc/channel/everyinc/llms.txt)

## Definition

LiteLLM is a library that provides a unified interface for calling large language models, letting a builder work with many model providers through one consistent API.

LiteLLM shows up in this channel's material under the **Building AI Products and Startups** exploration — the chapter that follows builders taking an AI product idea from zero to a growing product, with tactics for building sticky AI applications and wrappers. [^8c9661cb-02b8-5d3d-ab7f-367a64893914@0] Within that context, think of LiteLLM as part of the plumbing layer: the captured material pairs it with the practical work of shipping AI products, rather than exploring it as a standalone subject. The captured material does not go deeper into LiteLLM's configuration or internals, so treat this entry as a orientation point rather than a full treatment.