LiteLLM

Overview

LiteLLM is an open-source project that provides a unified interface for working with over 100 LLM providers through a single OpenAI-compatible API. It eliminates the complexity of managing multiple LLM provider SDKs.

Features

• Unified API: Single interface for 100+ LLM providers
• OpenAI Compatibility: Drop-in replacement for OpenAI API calls
• Load Balancing: Automatic request distribution across providers
• Fallback Handling: Automatic failover to backup providers
• Cost Tracking: Built-in usage and cost monitoring
• Caching: Response caching to reduce costs and latency
• Rate Limiting: Configurable rate limits per user or API key
• Streaming Support: Full support for streaming responses

Supported Providers

Supports major providers including OpenAI, Anthropic, Google (PaLM, Gemini), Cohere, Azure OpenAI, AWS Bedrock, Hugging Face, and many more.

Use Cases

• Building multi-provider LLM applications
• Reducing vendor lock-in
• Cost optimization through provider switching
• High-availability LLM services

Integration

Integrates with Langfuse for observability and works alongside vector databases in RAG architectures. Popular with developers building production LLM applications.

Pricing

Free and open-source. The proxy server can be self-hosted or used through LiteLLM's managed service.