LiteLLM
Overview
A lightweight Python library that allows you to call 100+ LLM APIs using the OpenAI format. It's the standard for building model-agnostic AI applications and managing model failover and load balancing.
LiteLLM lets you call 100+ model providers using a single OpenAI-style interface, plus a proxy server that adds routing, fallbacks, budgets, and logging. It is the de facto standard for keeping applications model-agnostic and resilient. It targets developers who want to avoid lock-in and manage many providers cleanly.
Key Features
- Unified OpenAI-format calls to 100+ providers
- Proxy with routing and fallbacks
- Budgets, keys, and rate limits
- Logging and observability hooks
- Open-source
Best For
Developers building model-agnostic, resilient applications across many providers.
Pros & Cons
Pros
- Avoids provider lock-in
- Resilience via fallbacks and routing
- Open-source and widely adopted
Cons
- Another layer to operate at scale
- Proxy adds latency overhead
Pulse Verdict
Editorial review by SEODataPulse
This is an editorial assessment, not an average of customer ratings.
“The universal translator for AI APIs. LiteLLM is the essential utility for developers who want to avoid model lock-in and build resilient AI systems.”
Pricing
Open-source and free; paid enterprise tier available.
Pricing changes often — confirm current plans on the official site.