What problem does it solve? Routing AI model traffic across multiple providers requires juggling different SDKs, credentials, model IDs, and billing systems. This Skill guides setup and operation of Vercel AI Gateway so requests use correct authentication, live model IDs, routing policies, and spend controls without relying on outdated memorized details. ## Core Features & Use Cases - Setup and Authentication: Configure AI Gateway API keys or Vercel OIDC tokens, migrate existing OpenAI or Anthropic SDK integrations by changing base URLs, and make verified first requests. - Routing and Model Selection: Discover live models via /v1/models, configure provider ordering, model fallbacks, prompt caching, BYOK credentials, and provider timeouts. - Spend and Observability: Manage credits, budgets, and spend alerts through the vercel ai-gateway CLI, debug requests in AI Gateway Logs, and query usage reporting endpoints. - Use Case: A team migrating an OpenAI SDK app points its base URL to https://ai-gateway.vercel.sh/v1, authenticates with an AI Gateway key, sets a monthly budget, and adds a fallback model for resilience. ## Quick Start Ask the assistant to add Vercel AI Gateway to your app and make one verified request using a current model from the live model list.