LiteLLM
Proxy server for managing auth, load balancing, and spend tracking across multiple LLMs.
Pricing
Contact sales
Usage-based
Adoption
→StableLicense
Proprietary
Data freshness
UnverifiedOverview
What is LiteLLM?
LiteLLM is a proxy server that simplifies the management of authentication, load balancing, and cost monitoring when using over 100 different language models in the OpenAI format. It streamlines integration with various AI services by providing a unified interface.
Key differentiator
“LiteLLM stands out by providing a unified and scalable solution for managing multiple LLMs, offering unparalleled flexibility in load balancing and spend tracking.”
Capability profile
Capability Radar
Honest assessment
Strengths & Weaknesses
↑ Strengths
↓ Weaknesses
API requires Python-specific patterns, TypeScript SDK is community-maintained
v0.1 to v0.2 migration required rewriting chain definitions
Primary SDK is in Python with limited official support for other languages
Custom integrations and configurations may not be easily portable to other solutions
Fit analysis
Who is it for?
✓ Best for
Enterprises needing to manage costs and performance of multiple AI services
Development teams working on projects that require integration with various LLMs in the OpenAI format
Scenarios where real-time spend tracking is critical for budget management
✕ Not a fit for
Projects requiring real-time streaming capabilities (LiteLLM focuses on request-response patterns)
Budget-constrained projects where cost optimization is not a primary concern
Cost structure
Pricing
Free Tier
None
Starts at
Contact sales
Model
Usage-based
Enterprise
None
Performance benchmarks
How Fast Is It?
Ecosystem
Relationships
Integrations
Next step
Get Started with LiteLLM
Step-by-step setup guide with code examples and common gotchas.