LiteLLM Features

LiteLLM is an open-source library and proxy server that provides a unified API for interacting with 100+ large language models from various providers using the OpenAI format.
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Key Features of LiteLLM

LiteLLM is a unified API and proxy server that simplifies integration with over 100 large language models (LLMs) from various providers like OpenAI, Azure, Anthropic, and more. It offers features such as authentication management, load balancing, spend tracking, and error handling, all using a standardized OpenAI-compatible format. LiteLLM enables developers to easily switch between or combine different LLM providers while maintaining consistent code.
Unified API: Provides a single interface to interact with 100+ LLMs from different providers using the OpenAI format
Proxy Server: Manages authentication, load balancing, and spend tracking across multiple LLM providers
Virtual Keys and Budgets: Allows creation of project-specific API keys and setting of usage limits
Error Handling and Retries: Automatically handles errors and retries failed requests, improving robustness
Logging and Observability: Integrates with various logging tools for monitoring LLM usage and performance

Use Cases of LiteLLM

Multi-Provider AI Applications: Develop applications that can seamlessly switch between or combine multiple LLM providers
Cost Optimization: Implement intelligent routing and load balancing to optimize LLM usage costs
Enterprise LLM Management: Centralize LLM access, authentication, and usage tracking for large organizations
AI Research and Experimentation: Easily compare and benchmark different LLMs using a consistent interface

Pros

Simplifies integration with multiple LLM providers
Improves code maintainability with standardized format
Offers robust features for enterprise-level LLM management

Cons

May introduce slight latency due to proxy layer
Requires additional setup and configuration
Limited customization for provider-specific features

LiteLLM Monthly Traffic Trends

LiteLLM reached 172,140 visits in November, showing a 4.8% increase. Without specific updates or market activities for November 2024, this slight growth is likely due to the platform's ongoing features such as load balancing, fallback mechanisms, and budget management.

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