Vercel AI Gateway operator

Operate AI Gateway authentication with Vercel OIDC, API keys, dashboard BYOK credentials, request-scoped BYOK, scopes, rotation, and system-credential fallback. Use when configuring credentials, migrating from provider keys, adding BYOK, rotating a key, or diagnosing authentication.

Inspect and manage AI Gateway key budgets, refresh periods, user quotas, credits, request attribution, usage exports, and cost guardrails. Use when setting spend caps, investigating usage, attributing cost, or preventing runaway agents.

Look up Vercel AI Gateway commands, configuration, policy, and focused operations across models and capabilities, routing and fallbacks, authentication and byok, budgets and usage, observability and security. Use when the user wants a concise reference instead of a guided workflow.

Inspect Vercel AI Gateway versions, local project structure, account or team context, environment variable names, configured resources, policies, observability, and safe checks without changing anything. Use before Vercel AI Gateway work, when the target is uncertain, or when the user asks what is configured.

Connect Vercel AI Gateway to application runtimes, identity, external services, persistence, observability, CI, and deployment while preserving account, credential, data, and action boundaries. Use when Vercel AI Gateway must cross another system or operate consistently through production.

Discover and select AI Gateway models and providers by canonical model ID, capability, modality, context window, pricing, region, and API compatibility. Use when choosing or changing a model, checking capability support, or building a model catalog.

Operate AI Gateway observability and security including request volume, tokens, TTFT, cost, reporting APIs, provider allowlists, zero-data-retention routing, no-training policy, and redaction. Use when investigating reliability or spend, exporting reports, enforcing provider policy, or reviewing prompt privacy.

Configure AI Gateway provider filtering, ordering, per-provider timeouts, automatic prompt caching, load balancing, and model fallbacks with explicit reliability semantics. Use when controlling provider choice, improving availability, adding fallbacks, or debugging unexpected routing.

Install and configure Vercel AI Gateway from zero with project-local tooling, exact account and project scope, server-only credentials, baseline policies, one minimal feature, and bounded verification. Use when a project has no Vercel AI Gateway setup or the user explicitly asks to initialize it.

Diagnose Vercel AI Gateway failures involving versions, account scope, credentials, permissions, configuration, remote resources, durability, providers, observability, costs, and deployment without masking the original error. Use when Vercel AI Gateway fails, behaves differently across environments, or causes unexpected remote effects.