LLM Gateway is a unified entry point for large language models. Route requests across providers through a single API, with built-in caching, rate limiting, cost control, security, and full observability.
Ship AI features faster while staying in control of cost, security, and reliability.
Route to any model from any provider through one OpenAI-compatible API. Switch or A/B models without touching your code.
Health-checked fallbacks and retries keep your app running even when a provider is degraded or rate-limited.
Cache responses to cut latency and spend. Configurable TTLs and cache keys per route.
Per-key, per-team, and per-model rate limits and budgets to prevent runaway usage.
Real-time token accounting and spend tracking across every model, key, and project.
Central key vault, PII redaction, and prompt/response policies keep sensitive data safe.
Logs, traces, latency, and quality metrics for every request in one dashboard.
Distribute traffic across keys and regions to maximize throughput and availability.
OpenAI-compatible endpoints — point your existing SDK at the gateway and go.
Your applications talk to one endpoint. The gateway authenticates, applies policies, picks the best model, caches when possible, and streams the response back — while recording every metric.
Screenshots and diagrams — placeholders below, ready for your images.
Get a guided demo of LLM Gateway for your team.