# Cross-link map: AI Gateway Models and Providers (/docs/ai-gateway/models-and-providers)

> From the Vercel docs graph (built 2026-10-22T06:14:20.626Z), spanning vercel.com docs + KB, nextjs.org, ai-sdk.dev, and other Vercel documentation sites. Full graph as JSON: https://vercel.com/docs/graph.json

## Semantically closest pages

- [Vercel AI Gateway: Models, Routing, and Observability](https://vercel.com/docs/ai-gateway) — Call AI models from any infrastructure through a managed gateway. Centralize credentials, request logs, spend budgets, r
- [AI Gateway Provider Routing and Fallbacks](https://vercel.com/docs/ai-gateway/models-and-providers/provider-options) — Configure provider routing, ordering, and fallback behavior in Vercel AI Gateway.
- [AI Gateway FAQ](https://vercel.com/docs/ai-gateway/faq) — Answers to common questions about AI Gateway, including request errors, pricing and markup, SDK and API compatibility, m
- [OpenResponses Configuration with AI Gateway](https://vercel.com/docs/ai-gateway/sdks-and-apis/openresponses/advanced) — Configure provider routing, fallbacks, and restrictions using the OpenResponses API through AI Gateway.
- [AI Gateway Model Fallbacks](https://vercel.com/docs/ai-gateway/models-and-providers/model-fallbacks) — Configure AI Gateway model fallbacks to try backup models when the primary model is unavailable. Set fallback order and

## This page links to (16)

- [Provider & Model Management](https://ai-sdk.dev/docs/ai-sdk-core/provider-management) — Learn how to work with multiple providers and models
- [How to set up instrumentation](https://nextjs.org/docs/app/guides/instrumentation) — Learn how to use instrumentation to run code at server startup in your Next.js app
- [AI Gateway Leaderboards](https://vercel.com/docs/ai-gateway/leaderboards) — See which AI models, labs, apps, and providers are most used on AI Gateway, share a chart as an image, and download the
- [AI Gateway Automatic Prompt Caching](https://vercel.com/docs/ai-gateway/models-and-providers/automatic-caching) — Enable automatic prompt caching and session affinity with AI Gateway to reduce costs and latency.
- [Decision Fallbacks](https://vercel.com/docs/ai-gateway/models-and-providers/decision-fallbacks) — Escalate uncertain AI Gateway decision results to another model with confidence, probability, and compound conditions.
- [AI Gateway Provider Latency and Throughput Metrics](https://vercel.com/docs/ai-gateway/models-and-providers/metrics) — Understand how AI Gateway measures throughput and latency per provider.
- [AI Gateway Model Fallbacks](https://vercel.com/docs/ai-gateway/models-and-providers/model-fallbacks) — Configure AI Gateway model fallbacks to try backup models when the primary model is unavailable. Set fallback order and
- [AI Gateway Provider Filtering, Ordering, and Sorting](https://vercel.com/docs/ai-gateway/models-and-providers/provider-filtering-and-ordering) — Control AI Gateway provider routing with order, only, and sort. Set preferences, restrict providers, and rank them by co
- [AI Gateway Provider Routing and Fallbacks](https://vercel.com/docs/ai-gateway/models-and-providers/provider-options) — Configure provider routing, ordering, and fallback behavior in Vercel AI Gateway.
- [AI Gateway Provider Timeouts](https://vercel.com/docs/ai-gateway/models-and-providers/provider-timeouts) — Configure AI Gateway timeouts for BYOK providers. Fail over to the next provider when a request takes too long to start
- [AI Gateway Reasoning](https://vercel.com/docs/ai-gateway/models-and-providers/reasoning) — Discover model reasoning capabilities and configure effort across AI SDK, Chat Completions, Messages, and Responses with
- [AI Gateway Routing Rules](https://vercel.com/docs/ai-gateway/models-and-providers/routing-rules) — Define team-wide rules that rewrite requests from one model to another or deny specific models in AI Gateway.
- [AI Gateway Service Tiers](https://vercel.com/docs/ai-gateway/models-and-providers/service-tiers) — Control processing priority and cost for OpenAI, Google AI Studio, Google Vertex AI, and SpaceXAI models using service t
- [AI Gateway Uptime and Provider Status](https://vercel.com/docs/ai-gateway/models-and-providers/uptime) — See how uptime and status track AI Gateway provider health and end-to-end request success.
- [AI Gateway Web Search](https://vercel.com/docs/ai-gateway/models-and-providers/web-search) — Enable AI models to search the web and retrieve source-grounded data using built-in tools through AI Gateway.
- [AI Gateway REST API Reference](https://vercel.com/docs/ai-gateway/sdks-and-apis/rest-api) — Reference for AI Gateway REST endpoints: models, usage, generations, and reporting.

## Pages that link here (16)

By site: vercel-changelog (1) · vercel-kb (2) · vercel-docs (13)

### From vercel-changelog

- [Customize timeouts for faster automatic failover on Vercel AI Gateway](https://vercel.com/changelog/provider-level-custom-timeouts-for-faster-fail-over-on-ai-gateway)

### From vercel-kb

- [How to build a durable AI code agent on Vercel](https://vercel.com/kb/guide/how-to-build-a-durable-ai-code-agent-on-vercel) — Build an AI agent that generates code, writes its own tests, and executes them in an isolated microVM with automatic ret
- [How to run a multi-step research agent on Vercel](https://vercel.com/kb/guide/how-to-run-a-multi-step-research-agent-on-vercel) — An end-to-end architecture for production research agents on Vercel using Sandbox, Workflows, and AI Gateway with isolat

### From vercel-docs

- [Vercel AI Gateway: Models, Routing, and Observability](https://vercel.com/docs/ai-gateway) — Call AI models from any infrastructure through a managed gateway. Centralize credentials, request logs, spend budgets, r
- [Amp with AI Gateway](https://vercel.com/docs/ai-gateway/coding-agents/amp) — Connect Amp to AI Gateway through Amp's Model Routing settings. Add an AI Gateway API key, choose models for Amp's modes
- [AI Gateway Framework Integrations](https://vercel.com/docs/ai-gateway/ecosystem/framework-integrations) — Connect LangChain, LiteLLM, LlamaIndex, Mastra, Pydantic AI, TanStack AI, and other frameworks to Vercel AI Gateway with
- [Migrate to AI Gateway Using Your Coding Agent](https://vercel.com/docs/ai-gateway/getting-started/migrate-to-ai-gateway) — Move your app's model calls to Vercel AI Gateway with a single coding-agent prompt, whatever provider or SDK you use tod
- [AI Gateway Inputs and Tools](https://vercel.com/docs/ai-gateway/inputs-and-tools) — Send images, PDFs, audio, and video to AI Gateway models, and connect models to application functions with tool use.
- [AI Gateway Model Modalities](https://vercel.com/docs/ai-gateway/modalities) — The inputs and outputs AI Gateway models work with: text, image, and video generation, speech to text, text to speech, r
- [AI Gateway Text Generation](https://vercel.com/docs/ai-gateway/modalities/text-generation) — Generate and stream text from 300+ models through AI Gateway, with tool calling and structured output.
- [AI Gateway Video Generation](https://vercel.com/docs/ai-gateway/modalities/video-generation) — Generate videos from text prompts, images, or video input using AI models through Vercel AI Gateway.
- [AI Gateway SDKs and APIs](https://vercel.com/docs/ai-gateway/sdks-and-apis) — Connect to AI Gateway with the AI SDK, Python, REST, or compatible OpenAI, Anthropic Messages, OpenResponses, and Cohere
- [TypeSafe API with AI Gateway](https://vercel.com/docs/ai-gateway/sdks-and-apis/typesafe) — Point an existing TypeSafe client at AI Gateway by changing its base URL to route System One decision requests through i
- [AI Gateway Regional Inference](https://vercel.com/docs/ai-gateway/security-and-compliance/regional-inference) — Route AI Gateway inference to the region you choose and control where providers store data, for data residency and compl
- [vercel ai-gateway](https://vercel.com/docs/cli/ai-gateway) — Manage AI Gateway resources from the Vercel CLI: API keys, budgets, routing rules, virtual models, models, leaderboards,
- [LangChain](https://vercel.com/docs/sandbox/ecosystem/langchain) — Give a LangChain agent a tool that executes model-generated code in an isolated Vercel Sandbox, with models served by AI