LiteLLM
FreeUnified API gateway for 100+ LLM providers with routing and fallbacks.
Tool Info
Overview
LiteLLM provides a unified interface to call any LLM provider.
Supports routing, fallbacks, caching, and spend tracking.
Pricing
Pros
- 100+ providers
- OpenAI-compatible API
- Budget and rate limiting
Best For
When NOT to Use
- Adds latency layer
- Ops overhead self-hosting
Typical Users
Community Insights
Real implementation experiences shared by AI practitioners.
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FAQ
When should I use LiteLLM?
Use LiteLLM when you need a single OpenAI-compatible API across multiple LLM providers with routing, fallbacks, and spend tracking.
Can LiteLLM be self-hosted?
Yes. LiteLLM proxy can run on your infrastructure with full control over routing rules and API keys.
Tags
Related Guides
- AI Gateway
The architectural role of an AI gateway — a centralized runtime boundary for accessing and governing model providers, and when that boundary is worth introducing.
- AI System Architecture
Reference architecture for modern enterprise AI systems, bringing together retrieval, knowledge graphs, AI agents, LLM gateways, caching, observability, security, and production deployment.
- Cost Optimization
Reducing LLM spend — workload-based model routing, prompt compression, caching, batching, and token-aware context design.
- AI Copilot Architecture: Designing Production AI Assistants
Learn how production AI copilots combine conversation state, retrieval, tools, authorization, model routing, AI gateways, evaluation, and observability.
- Model Routing: Choosing the Right Model for Every Request
How production AI systems route requests across models and providers using capability, quality, latency, cost, availability, and policy constraints.
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