chore: update references to use ai-sdk.dev (#6076)

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Author: nicoalbanese

.github/workflows/actions/verify-changesets/index.js

@@ -127,7 +127,7 @@ export async function verifyChangesets(
     if (invalidVersionBumps.length > 0) {
       throw Object.assign(
         new Error(
-          `Invalid .changeset file - invalid version bump (only "patch" is allowed, see https://sdk.vercel.ai/docs/migration-guides/versioning). To bypass, add one of the following labels: ${BYPASS_LABELS.join(', ')}`,
+          `Invalid .changeset file - invalid version bump (only "patch" is allowed, see https://ai-sdk.dev/docs/migration-guides/versioning). To bypass, add one of the following labels: ${BYPASS_LABELS.join(', ')}`,
         ),
 
         { path, content },

.github/workflows/actions/verify-changesets/test.js

@@ -114,7 +114,7 @@ test('minor update', async () => {
     () => verifyChangesets(event, env, readFile),
     Object.assign(
       new Error(
-        `Invalid .changeset file - invalid version bump (only "patch" is allowed, see https://sdk.vercel.ai/docs/migration-guides/versioning). To bypass, add one of the following labels: minor, major`,
+        `Invalid .changeset file - invalid version bump (only "patch" is allowed, see https://ai-sdk.dev/docs/migration-guides/versioning). To bypass, add one of the following labels: minor, major`,
       ),
       {
         path: '.changeset/minor-update.md',

content/docs/01-introduction/index.mdx

@@ -58,13 +58,13 @@ If you have questions about anything related to the AI SDK, you're always welcom
 
 ## `llms.txt` (for Cursor, Windsurf, Copilot, Claude etc.)
 
-You can access the entire AI SDK documentation in Markdown format at [sdk.vercel.ai/llms.txt](/llms.txt). This can be used to ask any LLM (assuming it has a big enough context window) questions about the AI SDK based on the most up-to-date documentation.
+You can access the entire AI SDK documentation in Markdown format at [ai-sdk.dev/llms.txt](/llms.txt). This can be used to ask any LLM (assuming it has a big enough context window) questions about the AI SDK based on the most up-to-date documentation.
 
 ### Example Usage
 
 For instance, to prompt an LLM with questions about the AI SDK:
 
-1. Copy the documentation contents from [sdk.vercel.ai/llms.txt](/llms.txt)
+1. Copy the documentation contents from [ai-sdk.dev/llms.txt](/llms.txt)
 2. Use the following prompt format:
 
 ```prompt

content/docs/02-guides/01-rag-chatbot.mdx

@@ -106,7 +106,7 @@ In this project, you will build a chatbot that will only respond with informatio
 This project will use the following stack:
 
 - [Next.js](https://nextjs.org) 14 (App Router)
-- [ AI SDK ](https://sdk.vercel.ai/docs)
+- [ AI SDK ](/docs)
 - [OpenAI](https://openai.com)
 - [ Drizzle ORM ](https://orm.drizzle.team)
 - [ Postgres ](https://www.postgresql.org/) with [ pgvector ](https://github.com/pgvector/pgvector)
@@ -254,7 +254,7 @@ You will use the AI SDK to create embeddings. This will require two more depende
 
 <Snippet text="pnpm add ai @ai-sdk/react @ai-sdk/openai" />
 
-This will install the [AI SDK](https://sdk.vercel.ai/docs), AI SDK's React hooks, and AI SDK's [OpenAI provider](/providers/ai-sdk-providers/openai).
+This will install the [AI SDK](/docs), AI SDK's React hooks, and AI SDK's [OpenAI provider](/providers/ai-sdk-providers/openai).
 
 <Note>
   The AI SDK is designed to be a unified interface to interact with any large
@@ -535,7 +535,7 @@ export async function POST(req: Request) {
 In this code, you define a tool called `addResource`. This tool has three elements:
 
 - **description**: description of the tool that will influence when the tool is picked.
-- **parameters**: [Zod schema](https://sdk.vercel.ai/docs/foundations/tools#schema-specification-and-validation-with-zod) that defines the parameters necessary for the tool to run.
+- **parameters**: [Zod schema](/docs/foundations/tools#schema-specification-and-validation-with-zod) that defines the parameters necessary for the tool to run.
 - **execute**: An asynchronous function that is called with the arguments from the tool call.
 
 In simple terms, on each generation, the model will decide whether it should call the tool. If it deems it should call the tool, it will extract the parameters from the input and then append a new `message` to the `messages` array of type `tool-call`. The AI SDK will then run the `execute` function with the parameters provided by the `tool-call` message.

content/docs/02-guides/03-slackbot.mdx

@@ -28,7 +28,7 @@ Before we start building, you'll need to create and configure a Slack app:
 
 This project uses the following stack:
 
-- [AI SDK by Vercel](https://sdk.vercel.ai/docs)
+- [AI SDK by Vercel](/docs)
 - [Slack Web API](https://api.slack.com/web)
 - [Vercel](https://vercel.com)
 - [OpenAI](https://openai.com)

content/docs/02-guides/04-natural-language-postgres.mdx

@@ -20,7 +20,7 @@ You can find a completed version of this project at [natural-language-postgres.v
 This project uses the following stack:
 
 - [Next.js](https://nextjs.org) (App Router)
-- [AI SDK](https://sdk.vercel.ai/docs)
+- [AI SDK](/docs)
 - [OpenAI](https://openai.com)
 - [Zod](https://zod.dev)
 - [Postgres](https://www.postgresql.org/) with [ Vercel Postgres ](https://vercel.com/postgres)

content/docs/02-guides/19-openai-responses.mdx

@@ -200,7 +200,7 @@ const { text } = await generateText({
 
 Ready to get started? Here's how you can dive in:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the full capabilities of the AI SDK.
-2. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action and get inspired for your own projects.
-3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [sdk.vercel.ai/docs/guides](/docs/guides).
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the full capabilities of the AI SDK.
+2. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action and get inspired for your own projects.
+3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [ai-sdk.dev/docs/guides](/docs/guides).
 4. Check out ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).

content/docs/02-guides/20-sonnet-3-7.mdx

@@ -164,9 +164,9 @@ The useChat hook on your root page (`app/page.tsx`) will make a request to your
 
 Ready to dive in? Here's how you can begin:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the capabilities of the AI SDK.
-2. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action.
-3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) at [sdk.vercel.ai/docs/guides](/docs/guides).
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the capabilities of the AI SDK.
+2. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action.
+3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) at [ai-sdk.dev/docs/guides](/docs/guides).
 4. Use ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).
 
 Claude 3.7 Sonnet opens new opportunities for reasoning-intensive AI applications. Start building today and leverage the power of advanced reasoning in your AI projects.

content/docs/02-guides/21-llama-3_1.mdx

@@ -386,7 +386,7 @@ The AI SDK ensures that your application remains clean and modular, accelerating
 
 Ready to get started? Here's how you can dive in:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the full capabilities of the AI SDK.
-2. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action and get inspired for your own projects.
-3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [sdk.vercel.ai/docs/guides](/docs/guides).
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the full capabilities of the AI SDK.
+2. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action and get inspired for your own projects.
+3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [ai-sdk.dev/docs/guides](/docs/guides).
 4. Check out ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).

content/docs/02-guides/22-gpt-4-5.mdx

@@ -169,7 +169,7 @@ The useChat hook on your root page (`app/page.tsx`) will make a request to your
 
 Ready to get started? Here's how you can dive in:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the full capabilities of the AI SDK.
-2. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action and get inspired for your own projects.
-3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [sdk.vercel.ai/docs/guides](/docs/guides).
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the full capabilities of the AI SDK.
+2. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action and get inspired for your own projects.
+3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [ai-sdk.dev/docs/guides](/docs/guides).
 4. Check out ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).

content/docs/02-guides/23-o1.mdx

@@ -232,8 +232,8 @@ The useChat hook on your root page (`app/page.tsx`) will make a request to your
 
 Ready to get started? Here's how you can dive in:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the full capabilities of the AI SDK.
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the full capabilities of the AI SDK.
 1. Check out our support for the o1 series of reasoning models in the [OpenAI Provider](/providers/ai-sdk-providers/openai#reasoning-models).
-1. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action and get inspired for your own projects.
-1. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [sdk.vercel.ai/docs/guides](/docs/guides).
+1. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action and get inspired for your own projects.
+1. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [ai-sdk.dev/docs/guides](/docs/guides).
 1. Check out ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).

content/docs/02-guides/24-o3.mdx

@@ -209,8 +209,8 @@ The useChat hook on your root page (`app/page.tsx`) will make a request to your
 
 Ready to get started? Here's how you can dive in:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the full capabilities of the AI SDK.
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the full capabilities of the AI SDK.
 2. Check out our support for o3-mini in the [OpenAI Provider](/providers/ai-sdk-providers/openai#reasoning-models).
-3. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action and get inspired for your own projects.
-4. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [sdk.vercel.ai/docs/guides](/docs/guides).
+3. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action and get inspired for your own projects.
+4. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) and multi-modal chat at [ai-sdk.dev/docs/guides](/docs/guides).
 5. Check out ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).

content/docs/02-guides/25-r1.mdx

@@ -208,9 +208,9 @@ While DeepSeek R1 models are powerful, they have certain limitations:
 
 Ready to dive in? Here's how you can begin:
 
-1. Explore the documentation at [sdk.vercel.ai/docs](/docs) to understand the capabilities of the AI SDK.
-2. Check out practical examples at [sdk.vercel.ai/examples](/examples) to see the SDK in action.
-3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) at [sdk.vercel.ai/docs/guides](/docs/guides).
+1. Explore the documentation at [ai-sdk.dev/docs](/docs) to understand the capabilities of the AI SDK.
+2. Check out practical examples at [ai-sdk.dev/examples](/examples) to see the SDK in action.
+3. Dive deeper with advanced guides on topics like Retrieval-Augmented Generation (RAG) at [ai-sdk.dev/docs/guides](/docs/guides).
 4. Use ready-to-deploy AI templates at [vercel.com/templates?type=ai](https://vercel.com/templates?type=ai).
 
 DeepSeek R1 opens new opportunities for reasoning-intensive AI applications. Start building today and leverage the power of advanced reasoning in your AI projects.

content/docs/03-ai-sdk-core/40-middleware.mdx

@@ -79,7 +79,7 @@ You can then use that enhanced model in functions like `generateText` and `strea
 The `extractReasoningMiddleware` function also includes a `startWithReasoning` option.
 When set to `true`, the reasoning tag will be prepended to the generated text.
 This is useful for models that do not include the reasoning tag at the beginning of the response.
-For more details, see the [DeepSeek R1 guide](https://sdk.vercel.ai/docs/guides/r1#deepseek-r1-middleware).
+For more details, see the [DeepSeek R1 guide](/docs/guides/r1#deepseek-r1-middleware).
 
 ### Simulate Streaming
 

content/docs/04-ai-sdk-ui/02-chatbot.mdx

@@ -647,8 +647,8 @@ By using `FileList`, you can send multiple files as attachments along with a mes
 <Note>
   Currently, only `image/*` and `text/*` content types get automatically
   converted into [multi-modal content
-  parts](https://sdk.vercel.ai/docs/foundations/prompts#multi-modal-messages).
-  You will need to handle other content types manually.
+  parts](/docs/foundations/prompts#multi-modal-messages). You will need to
+  handle other content types manually.
 </Note>
 
 ```tsx filename="app/page.tsx"
@@ -731,7 +731,7 @@ export default function Page() {
 
 You can also send URLs as attachments along with a message. This can be useful for sending links to external resources or media content.
 
-> **Note:** The URL can also be a data URL, which is a base64-encoded string that represents the content of a file. Currently, only `image/*` content types get automatically converted into [multi-modal content parts](https://sdk.vercel.ai/docs/foundations/prompts#multi-modal-messages). You will need to handle other content types manually.
+> **Note:** The URL can also be a data URL, which is a base64-encoded string that represents the content of a file. Currently, only `image/*` content types get automatically converted into [multi-modal content parts](/docs/foundations/prompts#multi-modal-messages). You will need to handle other content types manually.
 
 ```tsx filename="app/page.tsx"
 'use client';

content/docs/05-ai-sdk-rsc/02-streaming-react-components.mdx

@@ -206,4 +206,4 @@ This page is first marked as a client component with the `"use client";` directi
 
 You can now allow the model to respond to your prompt with a React component. However, this example is limited to a static prompt that is set within your Server Action. You could make this example interactive by turning it into a chatbot.
 
-Learn how to stream React components with the Next.js App Router using `streamUI` with this [example](https://sdk.vercel.ai/examples/next-app/interface/route-components).
+Learn how to stream React components with the Next.js App Router using `streamUI` with this [example](/examples/next-app/interface/route-components).

content/docs/08-migration-guides/37-migration-guide-3-3.mdx

@@ -20,7 +20,7 @@ introducing significant improvements and new features across the AI SDK and its
 
 ### Open Telemetry Support
 
-- Added experimental [OpenTelemetry support](https://sdk.vercel.ai/docs/ai-sdk-core/telemetry#telemetry) for all [AI SDK Core functions](https://sdk.vercel.ai/docs/ai-sdk-core/overview#ai-sdk-core-functions), enabling better observability and tracing capabilities.
+- Added experimental [OpenTelemetry support](/docs/ai-sdk-core/telemetry#telemetry) for all [AI SDK Core functions](/docs/ai-sdk-core/overview#ai-sdk-core-functions), enabling better observability and tracing capabilities.
 
 ### AI SDK UI Improvements
 
@@ -43,8 +43,8 @@ introducing significant improvements and new features across the AI SDK and its
 
 ### New Providers
 
-- [AWS Bedrock provider](https://sdk.vercel.ai/providers/ai-sdk-providers/amazon-bedrock).
-- [Chrome AI provider](https://sdk.vercel.ai/providers/community-providers/chrome-ai) (community-maintained).
+- [AWS Bedrock provider](/providers/ai-sdk-providers/amazon-bedrock).
+- [Chrome AI provider](/providers/community-providers/chrome-ai) (community-maintained).
 
 ### Provider Improvements
 

content/docs/08-migration-guides/39-migration-guide-3-1.mdx

@@ -63,7 +63,7 @@ export async function POST(req: Request) {
 }
 ```
 
-With AI SDK Core you have a unified API for any provider that implements the [AI SDK Language Model Specification](https://sdk.vercel.ai/providers/community-providers/custom-providers).
+With AI SDK Core you have a unified API for any provider that implements the [AI SDK Language Model Specification](/providers/community-providers/custom-providers).
 
 Let’s take a look at the example above, but refactored to utilize the AI SDK Core API alongside the AI SDK OpenAI provider. In this example, you import the LLM function you want to use from the `ai` package, import the OpenAI provider from `@ai-sdk/openai`, and then you call the model and return the response using the `toDataStreamResponse()` helper function.
 

content/providers/01-ai-sdk-providers/08-amazon-bedrock.mdx

@@ -5,7 +5,7 @@ description: Learn how to use the Amazon Bedrock provider.
 
 # Amazon Bedrock Provider
 
-The Amazon Bedrock provider for the [AI SDK](https://sdk.vercel.ai/docs) contains language model support for the [Amazon Bedrock](https://aws.amazon.com/bedrock) APIs.
+The Amazon Bedrock provider for the [AI SDK](/docs) contains language model support for the [Amazon Bedrock](https://aws.amazon.com/bedrock) APIs.
 
 ## Setup
 

content/providers/01-ai-sdk-providers/16-google-vertex.mdx

@@ -5,7 +5,7 @@ description: Learn how to use the Google Vertex AI provider.
 
 # Google Vertex Provider
 
-The Google Vertex provider for the [AI SDK](https://sdk.vercel.ai/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs. This includes support for [Google's Gemini models](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models) and [Anthropic's Claude partner models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude).
+The Google Vertex provider for the [AI SDK](/docs) contains language model support for the [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs. This includes support for [Google's Gemini models](https://cloud.google.com/vertex-ai/generative-ai/docs/learn/models) and [Anthropic's Claude partner models](https://cloud.google.com/vertex-ai/generative-ai/docs/partner-models/use-claude).
 
 <Note>
   The Google Vertex provider is compatible with both Node.js and Edge runtimes.
@@ -648,7 +648,7 @@ The following provider options are available:
 
 ## Google Vertex Anthropic Provider Usage
 
-The Google Vertex Anthropic provider for the [AI SDK](https://sdk.vercel.ai/docs) offers support for Anthropic's Claude models through the Google Vertex AI APIs. This section provides details on how to set up and use the Google Vertex Anthropic provider.
+The Google Vertex Anthropic provider for the [AI SDK](/docs) offers support for Anthropic's Claude models through the Google Vertex AI APIs. This section provides details on how to set up and use the Google Vertex Anthropic provider.
 
 ### Provider Instance
 

content/providers/03-community-providers/14-azure-ai.mdx

@@ -9,8 +9,8 @@ The **[Quail-AI/azure-ai-provider](https://github.com/QuailAI/azure-ai-provider)
 
 ## Language Models
 
-This provider works with any model in the Azure AI Foundry that is compatible with the Azure-Rest AI-inference API.  
-**Note:** This provider is not compatible with the Azure OpenAI models. For those, please use the [Azure OpenAI Provider](https://sdk.vercel.ai/providers/ai-sdk-providers/azure).
+This provider works with any model in the Azure AI Foundry that is compatible with the Azure-Rest AI-inference API.
+**Note:** This provider is not compatible with the Azure OpenAI models. For those, please use the [Azure OpenAI Provider](/providers/ai-sdk-providers/azure).
 
 ### Models Tested: