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LiteLLM

Developer toolsGeneral purposeSupports open-source models

What is LiteLLM?

LiteLLM is a versatile tool that simplifies calling various LLM APIs (e.g., OpenAI, Azure, Huggingface, VertexAI) using a unified OpenAI-compatible format. It supports completion, embedding, and image generation endpoints, ensuring consistent outputs across providers. LiteLLM also includes a proxy server for load balancing, cost tracking, and rate limiting. Designed for developers, it offers logging, retry logic, and async/streaming support for seamless integration into LLM workflows.

Features

Unified OpenAI format for all LLM APIs
Proxy server for load balancing and cost tracking
Supports async, streaming, and embedding calls
Retry/fallback logic across multiple deployments
Logging and observability with third-party tools

Pros and Cons of LiteLLM

Pros

Simplifies integration with multiple LLM providers
Ensures consistent output format across APIs
Supports advanced features like async and streaming
Provides cost tracking and rate limiting
Easy to set up and use with minimal configuration

Cons

Requires setup for proxy server and logging tools
Advanced features may need additional configuration
Limited to providers supported by LiteLLM

LiteLLM Use Cases

Unifying LLM API calls across multiple providers
Load balancing and cost tracking for LLM deployments
Streaming responses for real-time applications
Logging and monitoring LLM usage and performance
Simplifying integration with OpenAI-compatible tools

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