chore: extract rsc to separate package

content/cookbook/20-rsc/20-stream-text.mdx

@@ -20,14 +20,14 @@ Text generation can sometimes take a long time to complete, especially when you'
 
 ## Client
 
-Let's create a simple React component that will call the `generate` function when a button is clicked. The `generate` function will call the `streamText` function, which will then generate text based on the input prompt. To consume the stream of text in the client, we will use the `readStreamableValue` function from the `ai/rsc` module.
+Let's create a simple React component that will call the `generate` function when a button is clicked. The `generate` function will call the `streamText` function, which will then generate text based on the input prompt. To consume the stream of text in the client, we will use the `readStreamableValue` function from the `@ai-sdk/rsc` module.
 
 ```tsx filename="app/page.tsx"
 'use client';
 
 import { useState } from 'react';
 import { generate } from './actions';
-import { readStreamableValue } from 'ai/rsc';
+import { readStreamableValue } from '@ai-sdk/rsc';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
@@ -66,7 +66,7 @@ Using DevTools, we can see the text generation being streamed to the client in r
 
 import { streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
-import { createStreamableValue } from 'ai/rsc';
+import { createStreamableValue } from '@ai-sdk/rsc';
 
 export async function generate(input: string) {
   const stream = createStreamableValue('');

content/cookbook/20-rsc/21-stream-text-with-chat-prompt.mdx

@@ -32,7 +32,7 @@ Let's create a simple conversation between a user and a model, and place a butto
 
 import { useState } from 'react';
 import { Message, continueConversation } from './actions';
-import { readStreamableValue } from 'ai/rsc';
+import { readStreamableValue } from '@ai-sdk/rsc';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
@@ -95,7 +95,7 @@ Now, let's implement the `continueConversation` function that will insert the us
 
 import { streamText } from 'ai';
 import { openai } from '@ai-sdk/openai';
-import { createStreamableValue } from 'ai/rsc';
+import { createStreamableValue } from '@ai-sdk/rsc';
 
 export interface Message {
   role: 'user' | 'assistant';

content/cookbook/20-rsc/40-stream-object.mdx

@@ -51,7 +51,7 @@ Let's create a simple React component that will call the `getNotifications` func
 
 import { useState } from 'react';
 import { generate } from './actions';
-import { readStreamableValue } from 'ai/rsc';
+import { readStreamableValue } from '@ai-sdk/rsc';
 
 // Allow streaming responses up to 30 seconds
 export const maxDuration = 30;
@@ -92,7 +92,7 @@ Now let's implement the `getNotifications` function. We'll use the `generateObje
 
 import { streamObject } from 'ai';
 import { openai } from '@ai-sdk/openai';
-import { createStreamableValue } from 'ai/rsc';
+import { createStreamableValue } from '@ai-sdk/rsc';
 import { z } from 'zod';
 
 export async function generate(input: string) {

content/cookbook/20-rsc/60-save-messages-to-database.mdx

@@ -41,7 +41,7 @@ export default function RootLayout({
 
 import { useState } from 'react';
 import { ClientMessage } from './actions';
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { generateId } from 'ai';
 
 // Allow streaming responses up to 30 seconds
@@ -100,7 +100,7 @@ We will use the callback function to listen to state changes and save the conver
 ```tsx filename='app/actions.tsx'
 'use server';
 
-import { getAIState, getMutableAIState, streamUI } from 'ai/rsc';
+import { getAIState, getMutableAIState, streamUI } from '@ai-sdk/rsc';
 import { openai } from '@ai-sdk/openai';
 import { ReactNode } from 'react';
 import { z } from 'zod';
@@ -176,7 +176,7 @@ export async function continueConversation(
 ```
 
 ```ts filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { ServerMessage, ClientMessage, continueConversation } from './actions';
 
 export const AI = createAI<ServerMessage[], ClientMessage[]>({

content/cookbook/20-rsc/61-restore-messages-from-database.mdx

@@ -39,7 +39,7 @@ export default function RootLayout({
 
 import { useState, useEffect } from 'react';
 import { ClientMessage } from './actions';
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { generateId } from 'ai';
 
 export default function Home() {
@@ -97,7 +97,7 @@ export default function Home() {
 The server-side implementation handles the restoration of messages and their transformation into the appropriate format for display.
 
 ```tsx filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { ServerMessage, ClientMessage, continueConversation } from './actions';
 import { Stock } from '@ai-studio/components/stock';
 import { generateId } from 'ai';
@@ -126,7 +126,7 @@ export const AI = createAI<ServerMessage[], ClientMessage[]>({
 ```tsx filename='app/actions.tsx'
 'use server';
 
-import { getAIState } from 'ai/rsc';
+import { getAIState } from '@ai-sdk/rsc';
 
 export interface ServerMessage {
   role: 'user' | 'assistant' | 'function';

content/cookbook/20-rsc/90-render-visual-interface-in-chat.mdx

@@ -17,7 +17,7 @@ When we define multiple functions in [`tools`](/docs/reference/ai-sdk-core/gener
 
 import { useState } from 'react';
 import { ClientMessage } from './actions';
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { generateId } from 'ai';
 
 // Allow streaming responses up to 30 seconds
@@ -112,7 +112,7 @@ export async function Flight({ flightNumber }) {
 ```tsx filename='app/actions.tsx'
 'use server';
 
-import { getMutableAIState, streamUI } from 'ai/rsc';
+import { getMutableAIState, streamUI } from '@ai-sdk/rsc';
 import { openai } from '@ai-sdk/openai';
 import { ReactNode } from 'react';
 import { z } from 'zod';
@@ -206,7 +206,7 @@ export async function continueConversation(
 ```
 
 ```typescript filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { ServerMessage, ClientMessage, continueConversation } from './actions';
 
 export const AI = createAI<ServerMessage[], ClientMessage[]>({

content/cookbook/20-rsc/91-stream-updates-to-visual-interfaces.mdx

@@ -15,7 +15,7 @@ In our previous example we've been streaming react components from the server to
 
 import { useState } from 'react';
 import { ClientMessage } from './actions';
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { generateId } from 'ai';
 
 // Allow streaming responses up to 30 seconds
@@ -72,7 +72,7 @@ export default function Home() {
 ```tsx filename='app/actions.tsx'
 'use server';
 
-import { getMutableAIState, streamUI } from 'ai/rsc';
+import { getMutableAIState, streamUI } from '@ai-sdk/rsc';
 import { openai } from '@ai-sdk/openai';
 import { ReactNode } from 'react';
 import { z } from 'zod';
@@ -137,7 +137,7 @@ export async function continueConversation(
 ```
 
 ```typescript filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { ServerMessage, ClientMessage, continueConversation } from './actions';
 
 export const AI = createAI<ServerMessage[], ClientMessage[]>({

content/cookbook/20-rsc/92-stream-ui-record-token-usage.mdx

@@ -19,7 +19,7 @@ It is called when the stream is finished.
 
 import { useState } from 'react';
 import { ClientMessage } from './actions';
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { generateId } from 'ai';
 
 // Allow streaming responses up to 30 seconds
@@ -76,7 +76,7 @@ export default function Home() {
 ```tsx filename='app/actions.tsx' highlight={"57-63"}
 'use server';
 
-import { createAI, getMutableAIState, streamUI } from 'ai/rsc';
+import { createAI, getMutableAIState, streamUI } from '@ai-sdk/rsc';
 import { openai } from '@ai-sdk/openai';
 import { ReactNode } from 'react';
 import { z } from 'zod';
@@ -148,7 +148,7 @@ export async function continueConversation(
 ```
 
 ```typescript filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { ServerMessage, ClientMessage, continueConversation } from './actions';
 
 export const AI = createAI<ServerMessage[], ClientMessage[]>({

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

@@ -254,7 +254,7 @@ First, create a Server Action.
 ```tsx filename="app/actions.tsx"
 'use server';
 
-import { streamUI } from 'ai/rsc';
+import { streamUI } from '@ai-sdk/rsc';
 import { deepinfra } from '@ai-sdk/deepinfra';
 import { z } from 'zod';
 

content/docs/05-ai-sdk-rsc/01-overview.mdx

@@ -12,8 +12,8 @@ description: An overview of AI SDK RSC.
 </Note>
 
 <Note>
-  The `ai/rsc` package is compatible with frameworks that support React Server
-  Components.
+  The `@ai-sdk/rsc` package is compatible with frameworks that support React
+  Server Components.
 </Note>
 
 [React Server Components](https://nextjs.org/docs/app/building-your-application/rendering/server-components) (RSC) allow you to write UI that can be rendered on the server and streamed to the client. RSCs enable [ Server Actions ](https://nextjs.org/docs/app/building-your-application/data-fetching/server-actions-and-mutations#with-client-components), a new way to call server-side code directly from the client just like any other function with end-to-end type-safety. This combination opens the door to a new way of building AI applications, allowing the large language model (LLM) to generate and stream UI directly from the server to the client.

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

@@ -112,7 +112,7 @@ Create a Server Action at `app/actions.tsx` and add the following code:
 ```tsx filename="app/actions.tsx"
 'use server';
 
-import { streamUI } from 'ai/rsc';
+import { streamUI } from '@ai-sdk/rsc';
 import { openai } from '@ai-sdk/openai';
 import { z } from 'zod';
 

content/docs/05-ai-sdk-rsc/03-generative-ui-state.mdx

@@ -56,7 +56,7 @@ AI SDK RSC simplifies managing AI and UI state across your application by provid
 
 Notably, this means you do not have to pass the message history to the server explicitly for each request. You also can access and update your application state in any child component of the context provider. As you begin building [multistep generative interfaces](/docs/ai-sdk-rsc/multistep-interfaces), this will be particularly helpful.
 
-To use `ai/rsc` to manage AI and UI State in your application, you can create a React context using [`createAI`](/docs/reference/ai-sdk-rsc/create-ai):
+To use `@ai-sdk/rsc` to manage AI and UI State in your application, you can create a React context using [`createAI`](/docs/reference/ai-sdk-rsc/create-ai):
 
 ```tsx filename='app/actions.tsx'
 // Define the AI state and UI state types
@@ -78,7 +78,7 @@ export const sendMessage = async (input: string): Promise<ClientMessage> => {
 ```
 
 ```tsx filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { ClientMessage, ServerMessage, sendMessage } from './actions';
 
 export type AIState = ServerMessage[];
@@ -124,7 +124,7 @@ The UI state can be accessed in Client Components using the [`useUIState`](/docs
 ```tsx filename='app/page.tsx'
 'use client';
 
-import { useUIState } from 'ai/rsc';
+import { useUIState } from '@ai-sdk/rsc';
 
 export default function Page() {
   const [messages, setMessages] = useUIState();
@@ -146,7 +146,7 @@ The AI state can be accessed in Client Components using the [`useAIState`](/docs
 ```tsx filename='app/page.tsx'
 'use client';
 
-import { useAIState } from 'ai/rsc';
+import { useAIState } from '@ai-sdk/rsc';
 
 export default function Page() {
   const [messages, setMessages] = useAIState();
@@ -166,7 +166,7 @@ export default function Page() {
 The AI State can be accessed within any Server Action provided to the `createAI` context using the [`getAIState`](/docs/reference/ai-sdk-rsc/get-ai-state) function. It returns the current AI state as a read-only value:
 
 ```tsx filename='app/actions.ts'
-import { getAIState } from 'ai/rsc';
+import { getAIState } from '@ai-sdk/rsc';
 
 export async function sendMessage(message: string) {
   'use server';
@@ -192,7 +192,7 @@ export async function sendMessage(message: string) {
 The AI State can also be updated from within your Server Action with the [`getMutableAIState`](/docs/reference/ai-sdk-rsc/get-mutable-ai-state) function. This function is similar to `getAIState`, but it returns the state with methods to read and update it:
 
 ```tsx filename='app/actions.ts'
-import { getMutableAIState } from 'ai/rsc';
+import { getMutableAIState } from '@ai-sdk/rsc';
 
 export async function sendMessage(message: string) {
   'use server';
@@ -226,7 +226,7 @@ To call the `sendMessage` action from the client, you can use the [`useActions`]
 ```tsx filename='app/page.tsx'
 'use client';
 
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { AI } from './ai';
 
 export default function Page() {
@@ -272,8 +272,8 @@ When the user submits a message, the `sendMessage` action is called with the mes
   Action otherwise the streamed component will not show in the UI.
 </Note>
 
-To learn more, check out this [example](/examples/next-app/state-management/ai-ui-states) on managing AI and UI state using `ai/rsc`.
+To learn more, check out this [example](/examples/next-app/state-management/ai-ui-states) on managing AI and UI state using `@ai-sdk/rsc`.
 
 ---
 
-Next, you will learn how you can save and restore state with `ai/rsc`.
+Next, you will learn how you can save and restore state with `@ai-sdk/rsc`.

content/docs/05-ai-sdk-rsc/03-saving-and-restoring-states.mdx

@@ -102,4 +102,4 @@ To learn more, check out this [example](/examples/next-app/state-management/save
 
 ---
 
-Next, you will learn how you can use `ai/rsc` functions like `useActions` and `useUIState` to create interactive, multistep interfaces.
+Next, you will learn how you can use `@ai-sdk/rsc` functions like `useActions` and `useUIState` to create interactive, multistep interfaces.

content/docs/05-ai-sdk-rsc/04-multistep-interfaces.mdx

@@ -27,7 +27,7 @@ To build this kind of application you will leverage two concepts, **tool composi
 
 ## Overview
 
-In order to build a multistep interface with `ai/rsc`, you will need a few things:
+In order to build a multistep interface with `@ai-sdk/rsc`, you will need a few things:
 
 - A Server Action that calls and returns the result from the `streamUI` function
 - Tool(s) (sub-tasks necessary to complete your overall task)
@@ -49,7 +49,7 @@ The turn-by-turn implementation is the simplest form of multistep interfaces. In
 In the following example, you specify two tools (`searchFlights` and `lookupFlight`) that the model can use to search for flights and lookup details for a specific flight.
 
 ```tsx filename="app/actions.tsx"
-import { streamUI } from 'ai/rsc';
+import { streamUI } from '@ai-sdk/rsc';
 import { openai } from '@ai-sdk/openai';
 import { z } from 'zod';
 
@@ -137,7 +137,7 @@ export async function submitUserMessage(input: string) {
 Next, create an AI context that will hold the UI State and AI State.
 
 ```ts filename='app/ai.ts'
-import { createAI } from 'ai/rsc';
+import { createAI } from '@ai-sdk/rsc';
 import { submitUserMessage } from './actions';
 
 export const AI = createAI<any[], React.ReactNode[]>({
@@ -175,7 +175,7 @@ To call your Server Action, update your root page with the following:
 
 import { useState } from 'react';
 import { AI } from './ai';
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 
 export default function Page() {
   const [input, setInput] = useState<string>('');
@@ -224,7 +224,7 @@ To add user interaction, you will have to convert the component into a client co
 ```tsx filename="components/flights.tsx"
 'use client';
 
-import { useActions, useUIState } from 'ai/rsc';
+import { useActions, useUIState } from '@ai-sdk/rsc';
 import { ReactNode } from 'react';
 
 interface FlightsProps {

content/docs/05-ai-sdk-rsc/05-streaming-values.mdx

@@ -42,12 +42,12 @@ This is useful when you want to stream:
 
 ## Creating a Streamable Value
 
-You can import `createStreamableValue` from `ai/rsc` and use it to create a streamable value.
+You can import `createStreamableValue` from `@ai-sdk/rsc` and use it to create a streamable value.
 
 ```tsx file='app/actions.ts'
 'use server';
 
-import { createStreamableValue } from 'ai/rsc';
+import { createStreamableValue } from '@ai-sdk/rsc';
 
 export const runThread = async () => {
   const streamableStatus = createStreamableValue('thread.init');
@@ -70,7 +70,7 @@ export const runThread = async () => {
 You can read streamable values on the client using `readStreamableValue`. It returns an async iterator that yields the value of the streamable as it is updated:
 
 ```tsx file='app/page.tsx'
-import { readStreamableValue } from 'ai/rsc';
+import { readStreamableValue } from '@ai-sdk/rsc';
 import { runThread } from '@/actions';
 
 export default function Page() {
@@ -103,7 +103,7 @@ Let's look at how you can use the `createStreamableUI` function with a Server Ac
 ```tsx filename='app/actions.tsx'
 'use server';
 
-import { createStreamableUI } from 'ai/rsc';
+import { createStreamableUI } from '@ai-sdk/rsc';
 
 export async function getWeather() {
   const weatherUI = createStreamableUI();
@@ -128,7 +128,7 @@ On the client side, you can call the `getWeather` Server Action and render the r
 'use client';
 
 import { useState } from 'react';
-import { readStreamableValue } from 'ai/rsc';
+import { readStreamableValue } from '@ai-sdk/rsc';
 import { getWeather } from '@/actions';
 
 export default function Page() {