LiteLLM: LLM Gateway for Developers

LiteLLM

3.5 | 751 | 0
Type:
Open Source Projects
Last Updated:
2025/08/16
Description:
LiteLLM is an LLM Gateway that simplifies model access, spend tracking, and fallbacks across 100+ LLMs, all in the OpenAI format.
Share:
LLM gateway
OpenAI proxy
AI development

Overview of LiteLLM

What is LiteLLM?

LiteLLM is an LLM Gateway that simplifies model access, spend tracking, and fallbacks across 100+ LLMs. It is designed to provide developers with easy access to various LLMs, including OpenAI, Azure, Gemini, Bedrock, and Anthropic, all through a unified OpenAI-compatible interface.

Key Features:

  • Model Access: Provides access to over 100 LLMs.
  • Spend Tracking: Accurately tracks spending across different LLM providers, attributing costs to users, teams, or organizations.
  • Budgets & Rate Limits: Allows setting budgets and rate limits to control usage and costs.
  • OpenAI-Compatible: Uses the OpenAI API format for seamless integration.
  • LLM Fallbacks: Enables automatic fallbacks to other models in case of issues.
  • Observability: Offers logging and monitoring capabilities for LLMs.

How to Use LiteLLM?

  1. Deploy LiteLLM Open Source: You can deploy LiteLLM using the open-source version.
  2. LiteLLM Python SDK: Use the LiteLLM Python SDK for easy integration with your Python applications.
  3. Enterprise Version: For enterprise-level features like JWT Auth, SSO, and custom SLAs, consider the Enterprise version.

Use Cases:

  • Netflix: Uses LiteLLM to provide developers with Day 0 LLM access, ensuring they can use the latest models as soon as they are released.
  • Lemonade: Streamlines the management of multiple LLM models using LiteLLM and Langfuse.
  • RocketMoney: Standardizes logging, the OpenAI API, and authentication for all models, significantly reducing operational complexities.

Why is LiteLLM Important?

LiteLLM is crucial for organizations that want to leverage multiple LLMs without dealing with the complexities of managing different APIs and billing structures. It simplifies the process, reduces operational overhead, and ensures developers have easy access to the best models for their needs.

Where can I use LiteLLM?

You can use LiteLLM in various scenarios, including:

  • AI-powered applications
  • Chatbots and virtual assistants
  • Content generation tools
  • Data analysis and insights platforms
  • Any application that requires access to large language models

Best way to Get Started?

To get started with LiteLLM, you can:

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