BerriAI/Litellm - GitHub

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BerriAI/litellm is a GitHub tool enabling developers to call over 100 LLMs in OpenAI format. It standardizes and simplifies interactions with various AI models like Bedrock, Azure, OpenAI, and VertexAI.

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At a glance

Pricing

—

Free tier

—

API

Yes

Skill level

Technical

About

What is BerriAI/litellm - GitHub?

BerriAI/litellm is a developer tool hosted on GitHub designed to simplify interactions with a wide range of Large Language Models (LLMs). It allows users to call more than 100 different LLMs using a consistent OpenAI-compatible format. The tool supports integration with major AI platforms such as Bedrock, Azure, OpenAI, and VertexAI. It provides a Python SDK for direct integration and an AI Gateway for streamlined management, making it easier for developers to standardize their LLM workflows and switch between models without extensive code changes.

Best used for

Best used for developers and organizations needing to integrate and manage multiple Large Language Models from various providers through a single, standardized interface.

Common actions

integrate LLMs

standardize LLM calls

manage multiple LLMs

simplify AI model access

develop AI applications

open-sourcecollaborationworkflowsface swappingdeepfake"AI Agents"low-code/no-codeautomated workflowgithub copilot

Capabilities

Key features

100+ LLMs in OpenAI format
Supports Bedrock, Azure, OpenAI
Python SDK
AI Gateway
Standardized LLM interaction

Target Audience

DevelopersMachine Learning EngineersAI Researchers

Integrations

Not yet documented

Pricing & Plans

unknown

Free

FAQs

Does LiteLLM have a free tier or is it entirely open-source for self-hosting?

LiteLLM is an open-source project available on GitHub, meaning the core library is free to use and self-host. There are no direct pricing tiers for the library itself, though usage costs for the underlying LLMs (e.g., OpenAI, Azure, Bedrock) still apply.

Can LiteLLM help manage API keys and rate limits for multiple LLM providers?

Yes, LiteLLM's AI Gateway feature is designed to help manage API keys, implement rate limiting, and handle retries across various LLM providers. This centralizes control and simplifies operational aspects when working with many models.

What is the primary benefit of using LiteLLM over directly integrating with each LLM provider's SDK?

The main benefit is standardization. LiteLLM allows you to interact with over 100 different LLMs using a single, consistent OpenAI-compatible API format. This significantly reduces development effort when switching models or integrating new ones, avoiding vendor lock-in.

Does LiteLLM support streaming responses from LLMs, similar to OpenAI's streaming API?

Yes, LiteLLM is designed to support streaming responses from the various integrated LLMs, maintaining compatibility with the OpenAI streaming format. This allows for real-time output and improved user experience in applications.

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Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

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