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LiteLLM

LiteLLM

Open-source gateway that unifies 140+ LLM providers behind a single OpenAI‑compatible API

softwareAPI ToolsAI GatewayLLM ProxyOpen Source
Our Verdict

Best for

Platform teams needing unified LLM access and governance

Skip if

Teams unwilling to manage self‑hosted infrastructure

What is LiteLLM?

LiteLLM is an open‑source AI gateway and LLM proxy that lets platform teams expose a single, OpenAI‑compatible endpoint for over 1,800 models from 140+ providers. It centralizes authentication, key management, SSO, budgeting, guardrails, and cost tracking, simplifying governance and compliance across diverse AI services. Designed for engineering organizations, LiteLLM offers routing, optimization, and observability features that help control usage, reduce spend, and enforce policy while providing a consistent developer experience across the entire model ecosystem.

SpecificationsAI-estimated

open source✅ Yes
api available✅ Yes
support optionsCommunity forum, GitHub Issues, Paid support plans
key integrationsSlack, Zapier, LangChain, Terraform

Key Features of LiteLLM

Provides a single OpenAI‑compatible endpoint that transparently forwards requests to any of 1,800+ models across 140+ providers.
Enables dynamic routing rules to select the optimal model based on latency, cost, or custom business logic.
Offers built‑in SSO integration and centralized API key vaults to simplify secure credential management.
Implements per‑user and per‑project budgets with real‑time spend alerts to prevent unexpected costs.
Supports configurable guardrails such as content filtering, rate limits, and compliance policies.
Collects detailed usage metrics and cost analytics for observability and audit reporting.
Allows custom plugins for model‑specific preprocessing, post‑processing, or fallback strategies.
Provides a self‑hosted Docker image and Helm chart for easy deployment in cloud or on‑prem environments.

Use Cases for LiteLLM

1

Enterprise Model Governance

Enforce compliance, budgets, and access controls across all AI models used by the organization.

2

Multi‑Provider Cost Optimization

Automatically route requests to the cheapest provider that meets latency and quality requirements.

3

Developer Sandbox

Give internal teams a unified API to experiment with any LLM without managing individual credentials.

4

MCP Integration Layer

Standardize communication between micro‑AI services and downstream applications via a single gateway.

Pros & Cons of LiteLLM

Pros

  • Single unified API reduces integration complexity
  • Extensive provider coverage and model catalog
  • Open source with active community contributions
  • Built‑in cost and usage governance tools

Cons

  • Self‑hosting requires operational overhead
  • Advanced guardrail configuration can be complex
  • Enterprise‑grade support may require paid plan

Frequently Asked Questions

Is LiteLLM free to use?

The core gateway is open source and free; optional paid plans provide hosted SaaS, premium support, and advanced features.

Which LLM providers are supported?

LiteLLM supports over 140 providers, covering more than 1,800 models, including OpenAI, Anthropic, Cohere, Azure, and many hosted APIs.

Can I enforce usage budgets?

Yes, LiteLLM includes per‑user and per‑project budgeting with real‑time alerts and automatic throttling when limits are reached.

How is authentication handled?

LiteLLM integrates with SSO providers and stores API keys centrally, allowing role‑based access and audit logging.

Pricing Overview

View full pricing →
Freemium

Open Source

Free

Enterprise

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About the Product

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Platforms
Target AudiencePlatform teams and engineering organizations that need to provide secure, governed access to many AI models and control usage, cost, and compliance.

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Tags

AI GatewayLLM ProxyOpen SourceCost ManagementSSO

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