Quota Controls
Set project-level limits that keep applications, environments, and teams within approved usage boundaries while allowing developers to ship AI features safely through one centralized gateway.
FastRouter helps teams control LLM usage before it turns into outages, throttling, or surprise bills. With project-level quotas, API-key limits, alerts, analytics, and governance across 100+ models, your applications can scale confidently while staying within budget. Manage high-volume AI traffic through one OpenAI-compatible control plane built for reliable production operations.
Manage LLM traffic, quotas, alerts, access, and spend controls across providers from one unified gateway.
Set project-level limits that keep applications, environments, and teams within approved usage boundaries while allowing developers to ship AI features safely through one centralized gateway.
Apply API-key-level limits to contain runaway usage, reduce risk from leaked keys, and assign precise access boundaries for different services, customers, or internal teams.
Track token consumption, request volume, model usage, provider cost, and team-level spend in unified dashboards built for engineering and finance visibility.
Receive real-time notifications when usage, cost, latency, or error rates cross defined thresholds, helping teams act before budgets or user experiences are affected.
Control who can use which models with roles, access controls, compliance logging, and audit trails that support safer production AI operations.
Route around provider rate-limit errors and outages using fallback lists, virtual model aliases, automatic retries, and multi-provider redundancy for higher effective capacity.
Start by connecting applications through FastRouter’s OpenAI-compatible API. This creates one gateway layer for traffic across providers, making it possible to enforce consistent quotas, access policies, observability, and routing without rewriting every application.
See how stronger controls help teams scale AI usage without losing visibility, budget discipline, or reliability.
"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 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 controls needed to scale AI responsibly.
Manage quotas, routing, observability, and governance from one OpenAI-compatible production control plane.
Set project and API-key limits that reduce runaway usage and surprise AI spend.
Route around provider failures and rate-limit errors with automatic fallback and redundancy.
Track usage, latency, cost, errors, and model quality with real-time operational dashboards.
A platform team focused on reliable production AI operations.
FastRouter is built around a clear vision: give teams one operational foundation for running LLMs reliably in production. Instead of managing separate provider accounts, fragmented dashboards, custom retry logic, and application-by-application quota rules, teams can govern AI traffic through a single OpenAI-compatible control plane. FastRouter unifies model routing, observability, experiment tracking, guardrails, cost governance, and evaluations across 100+ models. Its platform is designed for engineering leaders, platform teams, product teams, and finance partners who need AI systems that are scalable, accountable, and cost-aware. The result is a practical LLMOps layer that helps organizations move faster while maintaining control over usage, performance, reliability, and spend.
LLM rate limiting controls how many requests, tokens, or workloads can be sent to models within a defined period. Quota management sets broader usage or spend boundaries by project, team, or API key. Together, they prevent runaway consumption, protect budgets, reduce provider throttling, and keep production AI applications operating within approved limits.
Get practical guidance on quota policies, alerts, and governance.
Unified access across major AI providers and models.
Works with existing OpenAI SDK integrations.
Built for controlled, accountable production AI usage.
Tell us about your current model usage, traffic patterns, and quota challenges. We’ll help you evaluate the right controls for safer, more predictable AI operations.
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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.