LiteLLM provides an AI gateway and LLM proxy with model routing, usage tracking, spend controls, and support for many providers.
LLM Gateway
LLM Gateway routes, manages, and analyzes requests across more than 40 language-model providers through one API.
About LLM Gateway
LLM Gateway provides one OpenAI-compatible API to route requests to 250+ models from 40+ providers, including OpenAI, Anthropic and Google. It centralizes provider keys, tracks requests, tokens and spend, and monitors latency, errors and cache hits with per-model, per-provider and per-project breakdowns.
It supports spend caps per key and member, automatic failover, and self-hosted or managed cloud deployment. SSO, audit logs, guardrails and provider routing rules are described as Enterprise features, and self-hosted Enterprise features require a license key. Requests are sent to third-party providers.
Key features
- One OpenAI-compatible API for 250+ models from 40+ providers
- Central dashboard for provider keys with scoped per-app keys
- Cost analytics by model, provider, key and project over 7 or 30 days
- Error rate, latency and cache-hit monitoring with project explorer
- Spend caps per key and member with optional low-balance alerts
- Self-hosted Docker or Kubernetes deployment or managed cloud option
Best for: Teams that use multiple language-model providers and need shared routing, spending controls and usage monitoring.
Good for
- Works with existing OpenAI SDK code by changing the base URL
- Single dashboard for keys, usage, spend and reliability across providers
- Can run in own network via Docker or Kubernetes, or as managed cloud
Watch out for
- SSO, audit logs, guardrails and provider policy are Enterprise-only
- Self-hosted Enterprise features require a license key
- Failover retries up to twice and does not apply to provider-pinned requests
LLM Gateway at a glance
- Website
- llmgateway.io
- Type
- Online tool
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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LLM Gateway FAQ
Can I keep my existing OpenAI code?
Yes, keep your existing OpenAI SDK code and change the base URL to use the gateway.
How does failover work?
If a provider errors, times out or rate-limits, the gateway retries up to twice on another provider for that model. Requests pinned to one provider stay there.
Can I self-host LLM Gateway?
Yes, deploy with Docker or Kubernetes using the Helm chart inside your own network. Enterprise features need a license key.
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