Model Aliases
Create one stable alias for a prioritized list of models and providers. FastRouter handles model selection and failover behind the scenes, so applications stay decoupled from changing provider choices.
Build resilient AI products with stable virtual model aliases and intelligent routing across 100+ models. FastRouter lets your application call one consistent model name while policies select the best provider, optimize cost or latency, and fail over automatically. Swap models centrally, reduce vendor lock-in, and keep production workloads moving without redeploying application code.
Control model selection, failover, cost, and performance through one stable alias and OpenAI-compatible gateway.
Create one stable alias for a prioritized list of models and providers. FastRouter handles model selection and failover behind the scenes, so applications stay decoupled from changing provider choices.
Route every request according to priorities like cost, latency, throughput, or quality. FastRouter automatically selects the best available model across 100+ options without manual tuning.
Configure ordered fallback lists so failed, throttled, or unavailable providers are bypassed automatically. Requests move to the next healthy model with no code changes or downtime.
Reduce unnecessary premium-model usage by routing simpler workloads to cost-efficient alternatives while preserving quality standards. Spend controls and analytics keep budgets predictable across teams.
Keep AI applications running with multi-provider redundancy, higher effective capacity, and fallback-aware routing. FastRouter helps teams avoid single-provider dependence in production environments.
Track latency, errors, usage, cost, and model outcomes in one dashboard. Unified observability helps teams validate routing decisions and troubleshoot issues across every provider.
Start by creating a stable model alias that your application will call. This abstraction removes provider-specific model names from production code and gives platform teams one central place to manage model decisions.
See how production AI teams can improve reliability, cost control, and model flexibility with smarter routing.
"FastRouter is a good value add, specifically when you are not sure which LLM is better for your use cases. You can play around with models, can compare against them, and then use normal OpenAI compatible APIs call to leverage the full potential of it."
FastRouter gives teams the control layer needed to run multi-model AI safely and efficiently.
Use one OpenAI-compatible API to manage model access, routing, governance, and observability.
Route requests across 100+ models from major providers without hard-coding vendor dependencies.
Automatic fallback and multi-provider redundancy help production applications stay available during provider issues.
Project limits, API-key controls, logs, and analytics make AI usage accountable across teams.
Meet the platform behind smarter AI model operations.
FastRouter is an LLMOps platform designed to help engineering, product, and platform teams operate AI reliably in production. Instead of treating model access as a collection of provider-specific integrations, FastRouter acts as a single OpenAI-compatible control plane for routing, observability, experiment tracking, guardrails, governance, and evaluations. Its vision is to make model infrastructure more flexible and accountable: teams can access 100+ models, define stable aliases, route intelligently, monitor performance, and control spend from one operational layer. For organizations scaling generative AI across multiple apps, FastRouter provides the foundation to move faster while reducing vendor lock-in, outage risk, and fragmented oversight.
A virtual model alias is a stable model name your application calls instead of hard-coding a specific provider or model. Behind that alias, FastRouter can maintain a prioritized list of models, providers, and fallback rules. This lets teams swap, reprioritize, or remove models centrally without changing application code or redeploying services.
Get guidance on aliases, routing policies, and production rollout.
Single endpoint reduces integration overhead across providers.
Routes requests across OpenAI, Anthropic, Gemini, Grok, and more.
Built for routing, observability, governance, and evaluations.
Tell us about your current model stack, routing goals, and reliability needs. We’ll help you map aliases, fallback policies, and governance controls for production AI workloads.
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To help us assist you faster, please include the reason for your message so the relevant team can reach out as soon as possible.