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Use when adding AI capabilities or selecting\u002Fchanging AI models. Must be read before choosing a model. Covers supported providers (OpenAI, Anthropic, Google), SDK setup, environment variables, and the list of available models.\n---\n\n# Netlify AI Gateway\n\n> **IMPORTANT:** Only use models listed in the \"Available Models\" section below. AI Gateway does not support every model a provider offers. Using an unsupported model will cause runtime errors.\n\nNetlify AI Gateway provides access to AI models from multiple providers without managing API keys directly. It is available on all Netlify sites.\n\n## How It Works\n\nThe AI Gateway acts as a proxy — you use standard provider SDKs (OpenAI, Anthropic, Google) but point them at Netlify's gateway URL instead of the provider's API. Netlify handles authentication, rate limiting, and monitoring.\n\n## Setup\n\n1. Enable AI on your site in the Netlify UI\n2. The environment variable `OPENAI_BASE_URL` is set automatically by Netlify\n3. Install the provider SDK you want to use\n\nNo provider API keys are needed — Netlify's gateway handles authentication.\n\n## Using OpenAI SDK\n\n```bash\nnpm install openai\n```\n\n```typescript\nimport OpenAI from \"openai\";\n\nconst openai = new OpenAI();\n\u002F\u002F OPENAI_BASE_URL is auto-configured — no API key or base URL needed\n\nconst completion = await openai.chat.completions.create({\n  model: \"gpt-4o-mini\",\n  messages: [{ role: \"user\", content: \"Hello!\" }],\n});\n```\n\n## Using Anthropic SDK\n\n```bash\nnpm install @anthropic-ai\u002Fsdk\n```\n\n```typescript\nimport Anthropic from \"@anthropic-ai\u002Fsdk\";\n\nconst client = new Anthropic({\n  baseURL: Netlify.env.get(\"ANTHROPIC_BASE_URL\"),\n});\n\nconst message = await client.messages.create({\n  model: \"claude-sonnet-4-5-20250929\",\n  max_tokens: 1024,\n  messages: [{ role: \"user\", content: \"Hello!\" }],\n});\n```\n\n## Using Google AI SDK\n\n```bash\nnpm install @google\u002Fgenerative-ai\n```\n\n```typescript\nimport { GoogleGenerativeAI } from \"@google\u002Fgenerative-ai\";\n\nconst genAI = new GoogleGenerativeAI(\"placeholder\");\n\u002F\u002F Configure base URL via environment variable\n\nconst model = genAI.getGenerativeModel({ model: \"gemini-2.5-flash\" });\nconst result = await model.generateContent(\"Hello!\");\n```\n\n## In a Netlify Function\n\n```typescript\nimport type { Config, Context } from \"@netlify\u002Ffunctions\";\nimport OpenAI from \"openai\";\n\nexport default async (req: Request, context: Context) => {\n  const { prompt } = await req.json();\n  const openai = new OpenAI();\n\n  const completion = await openai.chat.completions.create({\n    model: \"gpt-4o-mini\",\n    messages: [{ role: \"user\", content: prompt }],\n  });\n\n  return Response.json({\n    response: completion.choices[0].message.content,\n  });\n};\n\nexport const config: Config = {\n  path: \"\u002Fapi\u002Fai\",\n  method: \"POST\",\n};\n```\n\n## Environment Variables\n\n| Variable | Provider | Set by |\n|---|---|---|\n| `OPENAI_BASE_URL` | OpenAI | Netlify (automatic) |\n| `ANTHROPIC_BASE_URL` | Anthropic | Netlify (automatic) |\n\nThese are configured automatically when AI is enabled on the site. 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Biases towards retrieval from Cloudflare docs over pre-trained knowledge.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2001,2002,2005,2008,2009],{"name":1976,"slug":1977,"type":15},{"name":2003,"slug":2004,"type":15},"Cloudflare Workers","cloudflare-workers",{"name":2006,"slug":2007,"type":15},"SDK","sdk",{"name":23,"slug":24,"type":15},{"name":2010,"slug":2011,"type":15},"WebSockets","websockets","2026-04-06T18:39:51.717063",{"slug":2014,"name":2014,"fn":2015,"description":2016,"org":2017,"tags":2018,"stars":25,"repoUrl":26,"updatedAt":2034},"ai-elements","build chat UIs with AI Elements","AI Elements component library guidance — pre-built React components for AI interfaces built on shadcn\u002Fui. Use when building chat UIs, message displays, tool call rendering, streaming responses, reasoning panels, or any AI-native interface with the AI SDK.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2019,2022,2025,2028,2031],{"name":2020,"slug":2021,"type":15},"Frontend","frontend",{"name":2023,"slug":2024,"type":15},"React","react",{"name":2026,"slug":2027,"type":15},"shadcn\u002Fui","shadcn-ui",{"name":2029,"slug":2030,"type":15},"UI Components","ui-components",{"name":2032,"slug":2033,"type":15},"Vercel","vercel","2026-04-06T18:40:59.619419",{"slug":2036,"name":2036,"fn":2037,"description":2038,"org":2039,"tags":2040,"stars":25,"repoUrl":26,"updatedAt":2050},"ai-gateway","configure Vercel AI Gateway","Vercel AI Gateway expert guidance. Use when configuring model routing, provider failover, cost tracking, or managing multiple AI providers through a unified API.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2041,2042,2045,2046,2049],{"name":20,"slug":21,"type":15},{"name":2043,"slug":2044,"type":15},"Cost Optimization","cost-optimization",{"name":13,"slug":14,"type":15},{"name":2047,"slug":2048,"type":15},"Performance","performance",{"name":2032,"slug":2033,"type":15},"2026-04-06T18:40:44.377464",{"slug":2052,"name":2052,"fn":2053,"description":2054,"org":2055,"tags":2056,"stars":25,"repoUrl":26,"updatedAt":2062},"ai-generation-persistence","implement persistence patterns for AI generations","AI generation persistence patterns — unique IDs, addressable URLs, database storage, and cost tracking for every LLM generation",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2057,2058,2061],{"name":2043,"slug":2044,"type":15},{"name":2059,"slug":2060,"type":15},"Database","database",{"name":13,"slug":14,"type":15},"2026-04-06T18:41:08.513425",600,{"items":2065,"total":2262},[2066,2087,2110,2127,2143,2160,2179,2191,2205,2219,2231,2246],{"slug":2067,"name":2067,"fn":2068,"description":2069,"org":2070,"tags":2071,"stars":2084,"repoUrl":2085,"updatedAt":2086},"prior-auth-packet-builder","build healthcare prior authorization packets","Build a concise prior authorization packet from local case files and payer policy docs.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2072,2075,2078,2081],{"name":2073,"slug":2074,"type":15},"Documents","documents",{"name":2076,"slug":2077,"type":15},"Healthcare","healthcare",{"name":2079,"slug":2080,"type":15},"Insurance","insurance",{"name":2082,"slug":2083,"type":15},"Regulatory Compliance","regulatory-compliance",28169,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fopenai-agents-python","2026-04-16T05:11:39.180399",{"slug":2088,"name":2088,"fn":2089,"description":2090,"org":2091,"tags":2092,"stars":2107,"repoUrl":2108,"updatedAt":2109},"aspnet-core","build ASP.NET Core web applications","Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development. Use when working on Blazor Web Apps, Razor Pages, MVC, Minimal APIs, controller-based Web APIs, SignalR, gRPC, middleware, dependency injection, configuration, authentication, authorization, testing, performance, deployment, or ASP.NET Core upgrades.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2093,2096,2098,2101,2104],{"name":2094,"slug":2095,"type":15},".NET","dotnet",{"name":2097,"slug":2088,"type":15},"ASP.NET Core",{"name":2099,"slug":2100,"type":15},"Blazor","blazor",{"name":2102,"slug":2103,"type":15},"C#","csharp",{"name":2105,"slug":2106,"type":15},"Web Development","web-development",23787,"https:\u002F\u002Fgithub.com\u002Fopenai\u002Fskills","2026-04-12T05:07:02.819491",{"slug":2111,"name":2111,"fn":2112,"description":2113,"org":2114,"tags":2115,"stars":2107,"repoUrl":2108,"updatedAt":2126},"chatgpt-apps","build ChatGPT Apps SDK applications","Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI. Use when Codex needs to design tools, register UI resources, wire the MCP Apps bridge or ChatGPT compatibility APIs, apply Apps SDK metadata or CSP or domain settings, or produce a docs-aligned project scaffold. Prefer a docs-first workflow by invoking the openai-docs skill or OpenAI developer docs MCP tools before generating code.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2116,2119,2122,2125],{"name":2117,"slug":2118,"type":15},"Apps SDK","apps-sdk",{"name":2120,"slug":2121,"type":15},"ChatGPT","chatgpt",{"name":2123,"slug":2124,"type":15},"MCP","mcp",{"name":9,"slug":8,"type":15},"2026-04-12T05:07:05.468097",{"slug":2128,"name":2128,"fn":2129,"description":2130,"org":2131,"tags":2132,"stars":2107,"repoUrl":2108,"updatedAt":2142},"cli-creator","build CLIs from API docs","Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script. Use when the user wants Codex to create a command-line tool that can run from any repo, expose composable read\u002Fwrite commands, return stable JSON, manage auth, and pair with a companion skill.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2133,2136,2139],{"name":2134,"slug":2135,"type":15},"API Development","api-development",{"name":2137,"slug":2138,"type":15},"CLI","cli",{"name":2140,"slug":2141,"type":15},"Codex","codex","2026-04-12T05:07:04.132762",{"slug":2144,"name":2144,"fn":2145,"description":2146,"org":2147,"tags":2148,"stars":2107,"repoUrl":2108,"updatedAt":2159},"cloudflare-deploy","deploy projects to Cloudflare","Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services. Use when the user asks to deploy, host, publish, or set up a project on Cloudflare.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2149,2152,2155,2156],{"name":2150,"slug":2151,"type":15},"Cloudflare","cloudflare",{"name":2153,"slug":2154,"type":15},"Cloudflare Pages","cloudflare-pages",{"name":2003,"slug":2004,"type":15},{"name":2157,"slug":2158,"type":15},"Deployment","deployment","2026-04-12T05:07:14.275118",{"slug":2161,"name":2161,"fn":2162,"description":2163,"org":2164,"tags":2165,"stars":2107,"repoUrl":2108,"updatedAt":2178},"define-goal","define and set measurable project goals","Help the user define a concrete, measurable goal before starting work, especially when they ask to use the goal tool, create a goal, set an objective, clarify success criteria, or turn a fuzzy intention into a quantitative outcome. Use this skill for goal creation and goal refinement only; it does not manage durable snapshots, decision logs, or long-running execution artifacts.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2166,2169,2172,2175],{"name":2167,"slug":2168,"type":15},"Productivity","productivity",{"name":2170,"slug":2171,"type":15},"Project Management","project-management",{"name":2173,"slug":2174,"type":15},"Strategy","strategy",{"name":2176,"slug":2177,"type":15},"Task Management","task-management","2026-05-23T06:17:16.870838",{"slug":2180,"name":2180,"fn":2181,"description":2182,"org":2183,"tags":2184,"stars":2107,"repoUrl":2108,"updatedAt":2190},"figma","translate Figma designs into code","Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2185,2186,2188,2189],{"name":1966,"slug":1967,"type":15},{"name":2187,"slug":2180,"type":15},"Figma",{"name":2020,"slug":2021,"type":15},{"name":2123,"slug":2124,"type":15},"2026-04-12T05:06:47.939943",{"slug":2192,"name":2192,"fn":2193,"description":2194,"org":2195,"tags":2196,"stars":2107,"repoUrl":2108,"updatedAt":2204},"figma-code-connect-components","connect Figma designs to code components","Connects Figma design components to code components using Code Connect mapping tools. Use when user says \"code connect\", \"connect this component to code\", \"map this component\", \"link component to code\", \"create code connect mapping\", or wants to establish mappings between Figma designs and code implementations. For canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2197,2198,2201,2202,2203],{"name":1966,"slug":1967,"type":15},{"name":2199,"slug":2200,"type":15},"Design System","design-system",{"name":2187,"slug":2180,"type":15},{"name":2020,"slug":2021,"type":15},{"name":2029,"slug":2030,"type":15},"2026-05-10T05:59:52.971881",{"slug":2206,"name":2206,"fn":2207,"description":2208,"org":2209,"tags":2210,"stars":2107,"repoUrl":2108,"updatedAt":2218},"figma-create-design-system-rules","generate design system rules from Figma","Generates custom design system rules for the user's codebase. Use when user says \"create design system rules\", \"generate rules for my project\", \"set up design rules\", \"customize design system guidelines\", or wants to establish project-specific conventions for Figma-to-code workflows. Requires Figma MCP server connection.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2211,2212,2213,2216,2217],{"name":1966,"slug":1967,"type":15},{"name":2199,"slug":2200,"type":15},{"name":2214,"slug":2215,"type":15},"Documentation","documentation",{"name":2187,"slug":2180,"type":15},{"name":2020,"slug":2021,"type":15},"2026-05-16T06:07:47.821474",{"slug":2220,"name":2220,"fn":2221,"description":2222,"org":2223,"tags":2224,"stars":2107,"repoUrl":2108,"updatedAt":2230},"figma-implement-design","translate Figma designs into application code","Translates Figma designs into production-ready application code with 1:1 visual fidelity. Use when implementing UI code from Figma files, when user mentions \"implement design\", \"generate code\", \"implement component\", provides Figma URLs, or asks to build components matching Figma specs. For Figma canvas writes via `use_figma`, use `figma-use`.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2225,2226,2227,2228,2229],{"name":1966,"slug":1967,"type":15},{"name":2187,"slug":2180,"type":15},{"name":2020,"slug":2021,"type":15},{"name":2029,"slug":2030,"type":15},{"name":2105,"slug":2106,"type":15},"2026-05-16T06:07:40.583615",{"slug":2232,"name":2232,"fn":2233,"description":2234,"org":2235,"tags":2236,"stars":2107,"repoUrl":2108,"updatedAt":2245},"hatch-pet","create animated pets for Codex","Create, repair, validate, visually QA, and package Codex-compatible animated pets and pet spritesheets from character art, generated images, company or prospect brand cues, or visual references. Use when a user wants a lightweight-worker Codex pet workflow, a non-pixel custom pet style, a prospect or company mascot pet, or a full 8x9 animated pet atlas with transparent unused cells, QA contact sheets, and pet.json packaging. This skill composes the installed $imagegen system skill for visual generation and uses bundled scripts for deterministic spritesheet assembly.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2237,2240,2241,2244],{"name":2238,"slug":2239,"type":15},"Animation","animation",{"name":2140,"slug":2141,"type":15},{"name":2242,"slug":2243,"type":15},"Creative","creative",{"name":1966,"slug":1967,"type":15},"2026-05-02T05:31:48.48485",{"slug":2247,"name":2247,"fn":2248,"description":2249,"org":2250,"tags":2251,"stars":2107,"repoUrl":2108,"updatedAt":2261},"imagegen","generate and edit raster images","Generate or edit raster images when the task benefits from AI-created bitmap visuals such as photos, illustrations, textures, sprites, mockups, or transparent-background cutouts. Use when Codex should create a brand-new image, transform an existing image, or derive visual variants from references, and the output should be a bitmap asset rather than repo-native code or vector. Do not use when the task is better handled by editing existing SVG\u002Fvector\u002Fcode-native assets, extending an established icon or logo system, or building the visual directly in HTML\u002FCSS\u002Fcanvas.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[2252,2253,2254,2257,2260],{"name":2242,"slug":2243,"type":15},{"name":1966,"slug":1967,"type":15},{"name":2255,"slug":2256,"type":15},"Image Generation","image-generation",{"name":2258,"slug":2259,"type":15},"Images","images",{"name":9,"slug":8,"type":15},"2026-05-15T06:23:24.312127",675]