AI Gateway with Automatic Provider Failover

An AI gateway with automatic provider failover is a control layer between your application and multiple AI providers. Instead of hard-coding one vendor, requests pass through the gateway, which can detect failures, rate limits, or degraded performance and reroute traffic to a healthy fallback model or provider. FastRouter adds this resilience while preserving one OpenAI-compatible API integration.

FastRouter lets teams configure fallback lists and routing policies at the gateway level. When a primary provider returns an error, hits a rate limit, or becomes unavailable, the request can move to the next available model or provider. This reduces downtime, avoids manual intervention, and keeps provider-specific failover logic out of individual applications.

Yes. FastRouter provides a single OpenAI-compatible API that can access 100+ models across providers such as OpenAI, Anthropic, Google Gemini, xAI Grok, and others. Teams can route across text, image, video, embeddings, and speech models, then add or swap providers centrally without rebuilding separate integrations for every vendor.

Virtual Model Lists let you call one stable model alias while FastRouter manages the underlying model choices. You can define a prioritized list, such as a primary model with ordered fallback options across providers. This abstraction makes application code more stable, enables instant re-prioritization, and applies consistent routing policies across teams and products.

FastRouter is designed to reduce code changes by using an OpenAI-compatible API. Existing applications that already use the OpenAI SDK can typically point their base URL to FastRouter’s endpoint, then manage providers, models, fallback rules, governance, and observability centrally. This keeps application code simpler while expanding provider choice and reliability options.

FastRouter tracks latency, error rates, uptime, token usage, cost, and request outcomes across connected models and providers. Unified logs and dashboards help teams identify provider degradation, debug failed requests, compare model performance, and verify whether fallback behavior is protecting users. This observability is especially valuable when production workloads span multiple vendors.

Yes. FastRouter includes governance features such as project-level and API-key-level spend limits, member roles, access controls, usage analytics, and alerts. These controls help teams prevent surprise bill spikes, restrict access to expensive or sensitive models, and maintain accountability as more applications and departments begin using generative AI in production.

FastRouter offers free credits for teams to build, test, and explore the unified API without requiring a credit card for initial access. During evaluation, teams can test provider routing, fallback behavior, observability, model comparisons, governance settings, and multimodal API access before deciding how to adopt the platform for production workloads.