AI API

LiteLLM

LiteLLM is an AI gateway for accessing 100+ LLMs with OpenAI-compatible APIs, fallbacks, and spend tracking.

LiteLLM

OpenAI-compatible gateway for 100+ LLMs with fallbacks

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What is LiteLLM?

LiteLLM is an AI gateway and proxy platform that provides OpenAI-compatible access to 100+ language models, with routing, fallbacks, spending visibility, and enterprise controls for teams and applications.

How to use LiteLLM?

  1. 1Set up LiteLLM as your model gateway or proxy.
  2. 2Connect supported providers such as OpenAI, Azure, Anthropic, Bedrock, or Gemini.
  3. 3Use the OpenAI-compatible API format in your app to send requests through LiteLLM.
  4. 4Configure fallbacks, load balancing, budgets, and rate limits as needed.
  5. 5Review usage, spend, and logs to monitor model performance and costs.

LiteLLM Key Features

  • OpenAI-compatible API access
  • 100+ LLM provider integrations
  • Fallback routing across models
  • Spend tracking and usage visibility
  • Virtual keys, budgets, and teams
  • Load balancing and RPM/TPM limits
  • Logging integrations including Langfuse, Arize Phoenix, LangSmith, and OTEL
  • LLM guardrails
  • Enterprise features like JWT auth, SSO, and audit logs

LiteLLM Use Cases

  • Routing requests across multiple LLM providers
  • Adding fallback models to improve reliability
  • Tracking LLM spend across teams and projects
  • Managing budgets and access for developer groups
  • Self-hosting or deploying a cloud gateway for enterprise use
  • Standardizing multiple model APIs behind one OpenAI-style interface

LiteLLM Pricing & Free Credits

LiteLLM currently operates on a Free, Custom Pricing model.

Open Source

Free

Core LiteLLM features available at no cost.

Cloud / Enterprise

Contact for Pricing

Hosted or enterprise deployments with support, SLAs, and advanced controls.

LiteLLM Pros & Cons

Pros

  • Supports 100+ LLMs and major providers
  • OpenAI-compatible format simplifies integration
  • Includes fallbacks, routing, and spend tracking
  • Works for both self-hosted and cloud deployments
  • Offers enterprise features for larger teams

Cons

  • Advanced enterprise features may require paid plans
  • Best fit for teams already using multiple LLM providers
  • Pricing details are not fully listed on the homepage

What is LiteLLM best for?

  • Developers building apps with multiple model providers
  • Teams needing centralized LLM access and cost control
  • Companies that want OpenAI-compatible routing and fallbacks
  • Organizations planning self-hosted or enterprise gateway deployments

LiteLLM FAQ

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