llm-gateway

You can route requests to multiple LLMs through a unified API gateway by deploying LiteLLM Proxy with Docker. This setup provides a single interface to manage diverse backends like OpenAI and Anthropic, while enforcing usage policies and optimizing operational costs.

The best way to implement cost tracking and rate limiting for LLM API traffic is using a unified gateway. It allows you to track spending, set per-team budgets, and enforce rate limits across all requests routed to various LLM providers.

Semantic caching reduces LLM API costs and latency by identifying and storing responses to similar incoming requests. When a matching request is detected, the gateway returns the cached result instead of forwarding the call to the backend provider.

Yes, you can use custom Nginx or Traefik patterns for managing diverse LLM backends. These configurations work alongside LiteLLM Proxy and OpenRouter-compatible setups to provide load balancing and fallback routing for your applications.

You set up automatic fallback routing by configuring a unified LLM API gateway. This gateway monitors primary model availability and automatically switches traffic to cheaper or available alternative models when failures occur, ensuring continuous service availability.

Yes, LiteLLM Proxy supports key management for different teams accessing LLMs. The gateway centralizes key distribution and enforces usage policies, allowing you to securely manage access credentials and set specific budgets per user or team.