API Access
Access 100+ AI models through one OpenAI-compatible API covering text, image, video, speech, and embeddings, while avoiding separate provider integrations and model-specific code changes.
FastRouter gives engineering and product teams one OpenAI-compatible gateway for accessing 100+ AI models across text, image, video, speech, and embeddings. Route requests intelligently, fail over automatically, govern spend, compare outputs, and monitor production workloads from a single control plane—so teams can move faster without fragile provider-specific integrations or surprise AI costs as usage scales across applications.
Unify model access, routing, reliability, governance, and monitoring through one production-ready AI gateway for modern engineering teams.
Access 100+ AI models through one OpenAI-compatible API covering text, image, video, speech, and embeddings, while avoiding separate provider integrations and model-specific code changes.
Automatically route each request based on cost, latency, throughput, or output quality priorities, helping teams use the right model for each task without manual tuning.
Keep AI applications running through provider outages, rate limits, and model failures with prioritized fallback lists, automatic retries, and multi-provider redundancy built into the gateway.
Monitor latency, errors, usage, request logs, output quality, and performance trends across every connected provider from one consistent, provider-agnostic dashboard.
Set project and API-key spend limits, assign member roles, manage model access, and prevent budget surprises across teams and applications.
Validate inputs and outputs at the gateway to enforce safety, compliance, structured response quality, and consistent policies across every model provider.
FastRouter replaces scattered provider integrations with a durable LLMOps control plane for production AI. Your teams call one OpenAI-compatible API while the platform handles model selection, fallback, cost governance, observability, and quality evaluation behind the scenes. The result is faster experimentation, fewer operational blind spots, stronger reliability, and cleaner control over AI usage as applications scale across teams and modalities.
See how unified routing, governance, and observability help teams operate AI reliably at scale.
"Amazing product. Have had a great experience using FastRouter. Reliable access to models across providers helps removes the worry about outages or vendor lock-in."
FastRouter brings access, reliability, visibility, and control into one AI operations layer.
One OpenAI-compatible endpoint reduces integration work across 100+ models and multiple providers.
Per-request routing optimizes for cost, latency, throughput, or quality automatically.
Fallback lists and multi-provider redundancy keep applications running through provider disruptions.
Spend limits, roles, guardrails, logs, and analytics create accountable production AI usage.
Meet the platform behind unified production AI operations.
FastRouter is designed as the operational foundation for teams running AI in production. Rather than treating a gateway as a thin proxy, the platform combines unified model access with the controls engineering, product, security, and finance teams need every day: routing, fallback, logging, evaluations, guardrails, usage analytics, and consolidated billing. Its OpenAI-compatible approach helps teams preserve familiar development workflows while reducing the burden of provider-specific integrations. The vision is simple: make access to the best AI models flexible, reliable, measurable, and accountable, so organizations can experiment quickly, ship confidently, and scale generative AI workloads without losing visibility or control.
An LLM gateway is an infrastructure layer that sits between your application and multiple AI model providers. Instead of integrating with each provider separately, your app calls one API endpoint. The gateway handles model routing, authentication, failover, logging, spend controls, and policy enforcement across providers like OpenAI, Anthropic, Google Gemini, xAI Grok, and others.
Get clear answers about routing, reliability, governance, and cost control.
Drop into existing SDK workflows quickly.
Controls spend, roles, keys, and access.
Failover and routing support always-on AI workloads.
Tell us about your AI workloads, provider stack, reliability goals, and cost constraints. We’ll help you evaluate FastRouter, test the unified API, and identify the fastest path to production-ready model access.
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