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LLM Gateway
Own this tool?Developers can switch and fail over between providers without changing application code, while tracking cost and usage.
Open-source API gateway that routes requests across many language-model providers behind one OpenAI-compatible endpoint, with analytics and controls.
- Platform and product engineering teams
- Developers using multiple LLM providers
- Companies needing self-hosting
Features
- Unified API interface — OpenAI-compatible
- Multi-provider routing
- Cost and usage analytics
- Automatic failover
- Guardrails — Prompt injection and PII detection
- Self-hosting
- SSO and SCIM — On Enterprise
Pros
- Open source under AGPLv3 with a self-host option
- Routes across 40+ providers and 250+ models
- Provides cost, latency and error analytics
- Adds failover, guardrails and spend caps
Cons
- Guardrails, SSO, audit logs and SLA are Enterprise features
- Enterprise features on self-hosting require a license key
Overview
LLM Gateway is an open-source API gateway for large language models. It sits between an application and model providers, exposing an OpenAI-compatible interface so developers can route requests across 250+ models and 40+ providers by changing a base URL rather than rewriting code. The project states it has routed over one trillion tokens and 80 million requests.
Built-in features include routing, caching, automatic failover, spend caps per key and member, and cost, latency, error and cache analytics. When a provider errors, times out or rate-limits, the gateway can retry on another provider within the same request. Enterprise adds SSO with SAML 2.0 and SCIM, role-based access, audit logs, guardrails that detect prompt injection and PII, and a 99.9% SLA. The platform states SOC 2 Type II compliance.
LLM Gateway can run in the vendor's cloud or be self-hosted with Docker or Kubernetes; the core is licensed under AGPLv3 and the enterprise code is source-available. Bringing your own provider keys is free, with a 5% fee on credit purchases; Enterprise pricing is custom.
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