LLM Gateway
Use one OpenAI-compatible endpoint to access 100+ models across major providers, reducing integration work while keeping model choices flexible across applications, modalities, and teams.
FastRouter helps engineering, product, and platform teams scale AI with one OpenAI-compatible gateway for 100+ models. Route requests intelligently, fail over automatically, monitor every call, enforce guardrails, and control spend across providers without rebuilding integrations. Build production-ready LLM infrastructure that stays reliable, observable, and governed as your usage grows.

Unify routing, reliability, observability, governance, and cost control for production AI workloads across providers.
Use one OpenAI-compatible endpoint to access 100+ models across major providers, reducing integration work while keeping model choices flexible across applications, modalities, and teams.
Automatically send requests to the best model for cost, latency, throughput, or quality goals using policy-driven routing strategies across providers and model families.
Keep AI applications available during provider outages, rate limits, or model failures with automatic retries, fallback lists, and multi-provider redundancy.
Monitor latency, errors, cost, token usage, request logs, and output quality in unified dashboards built for debugging, auditing, and ongoing optimization.
Set project limits, API-key budgets, member roles, and access controls so teams can innovate quickly without surprise bill spikes or unmanaged model usage.
Validate inputs and outputs at the gateway to enforce safety, compliance, structured-response quality, and consistent policies across every provider and model.
Scaled AI needs more than model access; it needs dependable infrastructure that keeps applications fast, controlled, and resilient. FastRouter centralizes provider access, routing, failover, monitoring, guardrails, and billing behind one OpenAI-compatible API. Teams can experiment quickly, standardize model usage, prevent runaway spend, and operate production AI with clearer ownership, fewer integrations, and stronger reliability.

See how teams standardize model access, reduce operational overhead, and run AI more reliably at scale.
FastRouter gives teams the control plane needed to operate AI reliably at scale.
One OpenAI-compatible gateway replaces separate provider integrations and simplifies long-term model management.
Automatic routing and failover reduce provider lock-in, outages, and rate-limit disruptions.
Real-time logs, metrics, alerts, and evaluations reveal performance, cost, and quality trends.
Budget limits, roles, guardrails, and audit trails enforce responsible AI usage across teams.
Meet the platform behind production-ready AI operations.
FastRouter is built for teams moving beyond prototypes into serious production AI operations. Its platform brings model access, routing, observability, guardrails, evaluations, billing, and governance into one OpenAI-compatible control plane, helping engineering and platform leaders avoid fragmented provider tooling. Instead of maintaining brittle integrations for every model vendor, teams can centralize policy, monitor every request, and adapt as new models launch. The vision is straightforward: make scaled AI infrastructure durable, measurable, and controllable so businesses can ship intelligent products faster while keeping reliability, cost, and compliance under control.
An LLM gateway sits between your applications and model providers, giving teams one consistent API for routing, monitoring, governance, and billing. Instead of integrating separately with OpenAI, Anthropic, Gemini, xAI, and others, FastRouter provides a single OpenAI-compatible control plane for 100+ models across text, image, video, embeddings, and speech.
Get practical answers about routing, reliability, governance, and cost control.
One endpoint for 100+ AI models.
Designed for resilient production AI workloads.
Controls for access, budgets, and compliance.
Share your current AI stack, model usage, and reliability goals. The FastRouter team can help you evaluate routing, failover, observability, governance, and cost-control options for production workloads.
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