An OpenAI-compatible gateway for routing, evaluating, and governing access to 200+ AI models.
FastRouter.ai is a unified API gateway for teams building and operating AI applications. It provides OpenAI-compatible access to more than 200 models and supports text, image, video, embeddings, and speech workloads. Teams can route requests across models and providers without changing application code, while using virtual model aliases to keep a stable interface as their model configuration changes.
Its core purpose is to centralize model access and operations: model selection, provider routing, failover, cost controls, observability, evaluations, and governance. The gateway can select models using factors such as complexity, domain, and cost, and can retry or fall back when a provider fails. Teams can also compare model outputs and inspect traffic to inform quality and cost decisions.
FastRouter.ai is available as a managed cloud service, with self-hosting available on the Enterprise plan. The site provides a free Starter plan, paid Pro and Business plans, and an Enterprise plan with custom terms.
Route requests to more than 200 models through one API, including text, image, video, embeddings, and speech workloads. Virtual model aliases let teams change the underlying models or providers without changing application code.
The auto-router weighs factors such as complexity, domain, and cost when selecting a model. Provider routing, retries, fallbacks, load balancing, and aggregated provider capacity help handle failures and varying traffic demands.
Response caching and provider-native prompt caching can reduce repeated work. Prompt compression reduces input tokens, while asynchronous batch processing supports up to 50,000 chat or embedding requests from one JSONL file.
RBAC, project and API key limits, budgets, rate limits, provisioning keys, and BYOK support provide administrative control. Guardrails can observe or validate inputs and outputs for PII, topic adherence, toxicity, and regular-expression patterns.
Request logs, span-level tracing, dynamic tags, dashboards, and alerts expose latency, token usage, cost, and errors. Teams can evaluate models on their own data, optimize prompts with GEPA, and version prompts with comparison and rollback workflows.
Developers can point existing OpenAI-compatible code at FastRouter.ai, select a model ID, and keep one application interface while testing or using models from different providers.
Engineering teams can define fallback models and provider strategies so requests can be retried or redirected when a selected model or provider fails or reaches a capacity limit.
Product and AI teams can use playground comparisons and evaluations on their own data to assess model outputs, then use the findings to choose models or improve prompts.
Organizations can assign roles, scope API keys, set budgets and rate limits, and use logs, tags, and alerts to monitor spend and usage by project, feature, customer, environment, or team.
Enterprise teams with network or operational requirements can self-host FastRouter.ai in their own cloud account or data center so prompts, responses, logs, and provider keys remain within their network.
The site provides an OpenAI-compatible API. Existing OpenAI-compatible code can use FastRouter.ai's API base URL and an account API key, then specify a FastRouter.ai model ID.
The product site states that FastRouter.ai provides access to more than 200 models across major providers. Specific model availability can change, so the model catalog is the appropriate place to verify a current model.
Yes. Self-hosting is available on the Enterprise plan, allowing the gateway to run in the customer's cloud account or data center. The site says prompts, responses, logs, and provider keys can remain within the customer's network.
BYOK means bring your own key. It lets a team route requests through its own external provider keys, keeping provider billing, quotas, and negotiated discounts associated with those keys.
Yes. The Starter plan is free and includes access to the core gateway, 200+ models, auto-routing, fallbacks, retries, load balancing, RBAC, budget caps, rate limits, and limited logging. Paid plans add higher limits and features such as response caching, tracing, and guardrails.
Os dados de tráfego são apenas para referência.
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