LiteLLM is a comprehensive framework designed to streamline the management of multiple large language models (LLMs) through a unified API. By offering a standardized interaction model similar to OpenAI’s API, users can easily leverage over 100 different LLMs without dealing with diverse formats and protocols. LiteLLM handles complexities like load balancing, fallbacks, and spending tracking across different service providers, making it easier for developers to integrate and manage various LLM services in their applications.

Who will use liteLLM?

Developers
Data Scientists
Machine Learning Engineers
Businesses needing AI language models
Tech Startups

How to use the liteLLM?

Step1: Sign up at LiteLLM's website.
Step2: Obtain API keys for the LLMs you want to use.
Step3: Integrate LiteLLM into your application using the provided SDK or API documentation.
Step4: Configure load balancing and fallback mechanisms as needed.
Step5: Monitor usage and spending through the LiteLLM dashboard.

Platform

web
mac
windows
linux

liteLLM's Core Features & Benefits

The Core Features of liteLLM

Unified API for 100+ LLMs
Load Balancing
Fallback Mechanisms
Spend Tracking
Error Handling

The Benefits of liteLLM

Simplified Integration
Cost Efficiency
Increased Reliability
Time Savings
Enhanced Scalability

liteLLM's Main Use Cases & Applications

Application Development
Data Analysis
Customer Support Automation
Content Generation
Research and Development

FAQs of liteLLM

What is LiteLLM?

LiteLLM is a platform that provides a unified API for managing and utilizing over 100 different large language models (LLMs).

Who can use LiteLLM?

LiteLLM is ideal for developers, data scientists, machine learning engineers, businesses, and tech startups.

How do I get started with LiteLLM?

Sign up on the LiteLLM website, obtain API keys for your desired LLMs, and integrate the service into your application using the provided SDK or API documentation.

What are the main features of LiteLLM?

LiteLLM offers a unified API, load balancing, fallback mechanisms, spend tracking, and error handling for multiple LLMs.

Which platforms does LiteLLM support?

LiteLLM supports web, Windows, Mac, and Linux platforms.

How does LiteLLM handle errors?

LiteLLM maps exceptions across all supported providers to the OpenAI exceptions, inheriting from OpenAI's exception types for consistent error handling.

What are the benefits of using LiteLLM?

LiteLLM simplifies integration, offers cost efficiency, increases reliability, saves time, and enhances scalability.

Can LiteLLM track my spending across LLM services?

Yes, LiteLLM provides spend tracking features to help you monitor your expenses across different LLM services.

What are the use cases of LiteLLM?

LiteLLM can be used for application development, data analysis, customer support automation, content generation, and research and development.

What are some alternatives to LiteLLM?

Alternatives to LiteLLM include OpenAI API, Hugging Face, Azure Cognitive Services, Google AI Platform, and IBM Watson.

liteLLM Company Information

Website: https://www.litellm.ai
Company Name: LiteLLM
Support Email: ishaan@berri.ai
Facebook: NA
X(Twitter): https://twitter.com/litellm
YouTube: NA
Instagram: NA
Tiktok: NA
LinkedIn: https://www.linkedin.com/company/berri-ai

Analytic of liteLLM

Visit Over Time

Monthly Visits

64.9k

Avg Visit Duration

00:03:35

Page Per Visit

3.49

Bounce Rate

43.70%

May 2024 - Jul 2024 All Traffic

Geography

Top 5 Regions

United States

51.53%

Poland

6.19%

India

4.56%

Germany

4.36%

Indonesia

3.76%

May 2024 - Jul 2024 Worldwide Desktop Only

Traffic Sources Traffic Sources

Direct

52.37%

32.56%

Referrals

12.85%

Social

1.84%

Paid Referrals

0.30%

Mail

0.06%

May 2024 - Jul 2024 Desktop Only

Top Keywords

Keyword	Traffic	Cost Per Click
litellm	16.9k	$ --
litelllm	170	$ --
litellm ai	--	$ --
mercedes f1	217.6k	$ 0.65
use litellm	--	$ --

liteLLM's Main Competitors and alternatives?

OpenAI API
Hugging Face
Azure Cognitive Services
Google AI Platform
IBM Watson

liteLLM

liteLLM

liteLLM Product Information

What is liteLLM?