ai-gateway

AI model failover automatically routes requests to backup providers like Anthropic when primary services like OpenAI experience downtime. This ensures high availability for production AI deployments by abstracting provider-specific SDKs through a unified endpoint.

Tracking LLM API costs per user requires custom tags applied to token usage data. This enables precise budget attribution and spend management across features, allowing multi-tenant SaaS applications to monitor consumption and enforce per-user rate limits.

Yes, OIDC-based authentication is required for secure, zero-maintenance token management. This integration ensures that API requests routed through the Vercel AI SDK remain protected while accessing multiple model providers.

Yes, integrating with the Vercel AI SDK allows you to enforce per-user rate limits effectively. The gateway abstracts the underlying provider SDKs, managing routing and throttling to ensure production-grade reliability for your application.

You need an AI gateway to avoid managing provider-specific SDKs directly. It provides a unified interface for model routing, automatic failover during outages, and granular cost tracking, which are essential for maintaining production-grade AI deployments.

Configure intelligent routing by setting a primary model like openai/gpt-5.4 with a fallback to anthropic/claude-sonnet-4.6. This setup ensures the gateway automatically switches providers during downtime or rate limits, maintaining production reliability.