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What is LiteLLM?

LiteLLM is a platform designed to simplify access to large language models (LLMs) by providing a unified gateway for over 100 LLM providers, including OpenAI, Azure, Anthropic, Bedrock, and Gemini. Built with support from Y Combinator, LiteLLM addresses the complexity of managing multiple LLMs by offering features such as spend tracking, rate limiting, prompt management, and model fallbacks, all in a consistent OpenAI-compatible format. It enables platform teams to easily grant developers access to various LLMs while tracking usage costs accurately across teams, users, and organizations. LiteLLM supports both cloud and on-premises deployments, making it flexible for different infrastructure needs. Its core capabilities include automatic spend attribution, logging integrations, and guardrails to ensure controlled and efficient LLM usage. This tool is ideal for engineering teams, platform developers, and enterprises looking to streamline LLM integration and management workflows.

AI Tool Review Summary

Performance Score

4.5/5

Content/Output Quality

Reliable and consistent API responses

Interface

Developer-focused with clear API and dashboard

AI Technology
LLM
Purpose of Tool

To provide unified, cost-tracked, and managed access to multiple large language models.

Compatibility

Supports integration with major cloud providers and on-prem deployments, fitting into developer and platform team workflows.

Pricing

Open source core with enterprise paid plans and custom pricing.

Features

Features with the highest value for users are highlighted here.

Unified LLM access gateway

Automatic spend tracking

OpenAI-compatible API

Rate limiting and budgets

Prompt management

Fallbacks across multiple LLMs

On-premise and cloud deployment

Detailed usage observability

How It Works

1

Connect LLM Providers

Integrate multiple LLM APIs into LiteLLM using built-in connectors for providers like OpenAI, Azure, and Anthropic.

2

Configure Access and Budgets

Set up user keys, teams, budgets, and rate limits to control and monitor LLM usage.

3

Use Unified API

Developers call a single OpenAI-compatible API endpoint to access any connected LLM seamlessly.

4

Track Usage and Costs

Automatically log usage data, attribute spend to teams or users, and export logs to cloud storage for analysis.

Who Is It For?

Platform Engineers

Enterprise IT Teams

AI Developers

Startups

DevOps Teams

Product Managers

Data Scientists

Large Enterprises

AI Consultants

Cloud Architects

Pricing

Open Source

$0/free
  • Access to 100+ LLM providers
  • Basic spend tracking
  • Rate limiting and guardrails
  • Self-hosted or cloud deployment
Popular

Enterprise

$Custom pricing/monthly
  • All open source features
  • Enterprise support and SLAs
  • JWT Auth, SSO, audit logs
  • Dedicated onboarding and custom integrations

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Pros & Cons

Pros

  • Simplifies multi-LLM integration with a single API.
  • Accurate cost tracking and budget controls for teams.

Cons

  • May require technical expertise to deploy on-premise.
  • Advanced enterprise features require custom pricing.

FAQs

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Release History

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Rating

5.0

Pros

Cons

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