update

.changeset/twenty-crabs-roll.md

@@ -2,4 +2,4 @@
 'ai': patch
 ---
 
-Breaking change: extract experimental AI core provider packages. They can now be imported with e.g. import { openai } from '@ai-sdk/openai' after adding them to a project.
+Breaking change: extract experimental AI core provider packages. They can now be imported with e.g. import { openai } from '@khulnasoft/openai' after adding them to a project.

.eslintrc.js

@@ -1,7 +1,7 @@
 module.exports = {
   root: true,
-  // This tells ESLint to load the config from the package `eslint-config-vercel-ai`
-  extends: ['vercel-ai'],
+  // This tells ESLint to load the config from the package `eslint-config-khulnasoft-ai`
+  extends: ['khulnasoft-ai'],
   settings: {
     next: {
       rootDir: ['apps/*/'],

.github/ISSUE_TEMPLATE/1.bug_report.yml

@@ -5,7 +5,7 @@ body:
   - type: markdown
     attributes:
       value: |
-        This template is to report bugs for the AI SDK. If you need help with your own project, feel free to [start a new thread in our discussions](https://github.com/vercel/ai/discussions).
+        This template is to report bugs for the AI SDK. If you need help with your own project, feel free to [start a new thread in our discussions](https://github.com/khulnasoft/ai/discussions).
   - type: textarea
     attributes:
       label: Description

.github/ISSUE_TEMPLATE/2.feature_request.yml

@@ -5,7 +5,7 @@ body:
   - type: markdown
     attributes:
       value: |
-        This template is to propose new features for the AI SDK. If you need help with your own project, feel free to [start a new thread in our discussions](https://github.com/vercel/ai/discussions).
+        This template is to propose new features for the AI SDK. If you need help with your own project, feel free to [start a new thread in our discussions](https://github.com/khulnasoft/ai/discussions).
   - type: textarea
     attributes:
       label: Feature Description

.github/ISSUE_TEMPLATE/config.yml

@@ -1,5 +1,5 @@
 blank_issues_enabled: false
 contact_links:
   - name: Ask a question
-    url: https://github.com/vercel/ai/discussions
+    url: https://github.com/khulnasoft/ai/discussions
     about: Please ask questions in our discussions forum.

docs/pages/docs/acknowledgements.mdx

@@ -13,4 +13,4 @@ This library is created by [Vercel](https://vercel.com) and [Next.js](https://ne
 - Malte Ubl ([@cramforce](https://twitter.com/cramforce)) - [Vercel](https://vercel.com)
 - Justin Ridgewell ([@jridgewell](https://github.com/jridgewell)) - [Vercel](https://vercel.com)
 
-[Contributors](https://github.com/vercel/ai/graphs/contributors)
+[Contributors](https://github.com/khulnasoft/ai/graphs/contributors)

docs/pages/docs/ai-core/anthropic.mdx

@@ -13,27 +13,27 @@ It creates language model objects that can be used with the `generateText` and `
 
 ## Setup
 
-The Anthropic provider is available in the `@ai-sdk/anthropic` module. You can install it with
+The Anthropic provider is available in the `@khulnasoft/anthropic` module. You can install it with
 
 <Tabs items={['pnpm', 'npm', 'yarn']}>
   <Tab>
 
 ```bash
-pnpm add @ai-sdk/anthropic
+pnpm add @khulnasoft/anthropic
 ```
 
    </Tab>
   <Tab>
 
 ```bash 
-npm i @ai-sdk/anthropic
+npm i @khulnasoft/anthropic
 ```
 
   </Tab>
   <Tab>
 
 ```bash 
-yarn add @ai-sdk/anthropic 
+yarn add @khulnasoft/anthropic 
 ```
 
   </Tab>
@@ -44,7 +44,7 @@ yarn add @ai-sdk/anthropic
 You can import `Anthropic` from `ai/anthropic` and initialize a provider instance with various settings:
 
 ```ts
-import { Anthropic } from '@ai-sdk/anthropic';
+import { Anthropic } from '@khulnasoft/anthropic';
 
 const anthropic = new Anthropic({
   baseUrl: '', // optional base URL for proxies etc.
@@ -55,7 +55,7 @@ const anthropic = new Anthropic({
 The AI SDK also provides a shorthand `anthropic` import with a Anthropic provider instance that uses defaults:
 
 ```ts
-import { anthropic } from '@ai-sdk/anthropic';
+import { anthropic } from '@khulnasoft/anthropic';
 ```
 
 ## Messages Models

docs/pages/docs/ai-core/custom-provider.mdx

@@ -14,21 +14,21 @@ import { Callout } from 'nextra-theme-docs';
 The AI SDK provides a language model specification.
 You can write your own providers that adhere to the AI SDK language model specification and they will be compatible with the AI Core functions.
 
-You can find the Language Model Specification in the [AI SDK repository](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v1).
-It can be imported from `'@ai-sdk/provider'`.
+You can find the Language Model Specification in the [AI SDK repository](https://github.com/khulnasoft/ai/tree/main/packages/provider/src/language-model/v1).
+It can be imported from `'@khulnasoft/ai-sdk-provider'`.
 
-We also provide utilities that make it easier to implement a custom provider. You can find them in the `@ai-sdk/provider-utils` package ([source code](https://github.com/vercel/ai/tree/main/packages/provider-utils)).
+We also provide utilities that make it easier to implement a custom provider. You can find them in the `@khulnasoft/ai-sdk-provider-utils` package ([source code](https://github.com/khulnasoft/ai/tree/main/packages/provider-utils)).
 
-There are several reference implementations, e.g. a [OpenAI reference implementation](https://github.com/vercel/ai/tree/main/packages/openai)
-and a [Mistral reference implementation](https://github.com/vercel/ai/tree/main/packages/mistral).
+There are several reference implementations, e.g. a [OpenAI reference implementation](https://github.com/khulnasoft/ai/tree/main/packages/openai)
+and a [Mistral reference implementation](https://github.com/khulnasoft/ai/tree/main/packages/mistral).
 
 ## Provider Facade
 
 A custom provider should follow the pattern of using a provider facade with factory methods for the specific providers.
 An instance of the custom provider class with default settings can be exported for convenience.
 
 ```ts filename="custom-provider-facade.ts"
-import { generateId, loadApiKey } from ''@ai-sdk/provider-utils'';
+import { generateId, loadApiKey } from ''@khulnasoft/ai-sdk-provider-utils'';
 import { CustomChatLanguageModel } from './custom-chat-language-model';
 import { CustomChatModelId, CustomChatSettings } from './mistral-chat-settings';
 
@@ -78,16 +78,16 @@ export const customprovider = new CustomProvider();
 
 ## Language Model Implementation
 
-Please refer to the Language Model Specification in the [AI SDK repository](https://github.com/vercel/ai/tree/main/packages/provider/src/language-model/v1).
+Please refer to the Language Model Specification in the [AI SDK repository](https://github.com/khulnasoft/ai/tree/main/packages/provider/src/language-model/v1).
 
-We also provide utilities that make it easier to implement a custom provider. You can find them in the `@ai-sdk/provider-utils` package ([source code](https://github.com/vercel/ai/tree/main/packages/provider-utils)).
+We also provide utilities that make it easier to implement a custom provider. You can find them in the `@khulnasoft/ai-sdk-provider-utils` package ([source code](https://github.com/khulnasoft/ai/tree/main/packages/provider-utils)).
 
-There are several reference implementations, e.g. a [OpenAI reference implementation](https://github.com/vercel/ai/tree/main/packages/openai)
-and a [Mistral reference implementation](https://github.com/vercel/ai/tree/main/packages/mistral).
+There are several reference implementations, e.g. a [OpenAI reference implementation](https://github.com/khulnasoft/ai/tree/main/packages/openai)
+and a [Mistral reference implementation](https://github.com/khulnasoft/ai/tree/main/packages/mistral).
 
 ### Errors
 
-The AI SDK provides [standardized errors](https://github.com/vercel/ai/tree/main/packages/provider/src/errors) that should be used by providers where possible.
+The AI SDK provides [standardized errors](https://github.com/khulnasoft/ai/tree/main/packages/provider/src/errors) that should be used by providers where possible.
 This will make it easy for user to debug them.
 
 ### Retries, timeouts, and abort signals

docs/pages/docs/ai-core/google.mdx

@@ -11,27 +11,27 @@ It creates language model objects that can be used with the `generateText`, `str
 
 ## Setup
 
-The Google provider is available in the `@ai-sdk/google` module. You can install it with
+The Google provider is available in the `@khulnasoft/google` module. You can install it with
 
 <Tabs items={['pnpm', 'npm', 'yarn']}>
   <Tab>
 
 ```bash
-pnpm add @ai-sdk/google
+pnpm add @khulnasoft/google
 ```
 
    </Tab>
   <Tab>
 
 ```bash 
-npm i @ai-sdk/google
+npm i @khulnasoft/google
 ```
 
   </Tab>
   <Tab>
 
 ```bash 
-yarn add @ai-sdk/google 
+yarn add @khulnasoft/google 
 ```
 
   </Tab>
@@ -42,7 +42,7 @@ yarn add @ai-sdk/google
 You can import `Google` from `ai/google` and initialize a provider instance with various settings:
 
 ```ts
-import { Google } from '@ai-sdk/google';
+import { Google } from '@khulnasoft/google';
 
 const google = new Google({
   baseUrl: '', // optional base URL for proxies etc.
@@ -53,7 +53,7 @@ const google = new Google({
 The AI SDK also provides a shorthand `google` import with a Google provider instance that uses defaults:
 
 ```ts
-import { google } from '@ai-sdk/google';
+import { google } from '@khulnasoft/google';
 ```
 
 ## Generative AI Models

docs/pages/docs/ai-core/index.mdx

@@ -29,7 +29,7 @@ Here is a simple example for `generateText`:
 
 ```ts
 import { experimental_generateText } from 'ai';
-import { openai } from '@ai-sdk/openai';
+import { openai } from '@khulnasoft/openai';
 
 const { text } = await experimental_generateText({
   model: openai.chat('gpt-3.5-turbo'),
@@ -77,6 +77,6 @@ The AI SDK contains the following providers:
 - [Google Provider](/docs/ai-core/google) (`ai/google`)
 - [Anthropic Provider](/docs/ai-core/anthropic) (`ai/anthropic`)
 
-The AI SDK also provides a [language model specification](https://github.com/vercel/ai/tree/main/packages/core/spec/language-model/v1) that you can use to implement [custom providers](/docs/ai-core/custom-provider).
+The AI SDK also provides a [language model specification](https://github.com/khulnasoft/ai/tree/main/packages/core/spec/language-model/v1) that you can use to implement [custom providers](/docs/ai-core/custom-provider).
 
 ![AI SDK Diagram](/images/ai-sdk-diagram.png)

docs/pages/docs/ai-core/mistral.mdx

@@ -11,27 +11,27 @@ It creates language model objects that can be used with the `generateText`, `str
 
 ## Setup
 
-The Mistral provider is available in the `@ai-sdk/mistral` module. You can install it with
+The Mistral provider is available in the `@khulnasoft/mistral` module. You can install it with
 
 <Tabs items={['pnpm', 'npm', 'yarn']}>
   <Tab>
 
 ```bash
-pnpm add @ai-sdk/mistral
+pnpm add @khulnasoft/mistral
 ```
 
    </Tab>
   <Tab>
 
 ```bash 
-npm i @ai-sdk/mistral
+npm i @khulnasoft/mistral
 ```
 
   </Tab>
   <Tab>
 
 ```bash 
-yarn add @ai-sdk/mistral 
+yarn add @khulnasoft/mistral 
 ```
 
   </Tab>
@@ -42,7 +42,7 @@ yarn add @ai-sdk/mistral
 You can import `Mistral` from `ai/mistral` and initialize a provider instance with various settings:
 
 ```ts
-import { Mistral } from '@ai-sdk/mistral';
+import { Mistral } from '@khulnasoft/mistral';
 
 const mistral = new Mistral({
   baseUrl: '', // optional base URL for proxies etc.
@@ -53,7 +53,7 @@ const mistral = new Mistral({
 The AI SDK also provides a shorthand `mistral` import with a Mistral provider instance that uses defaults:
 
 ```ts
-import { mistral } from '@ai-sdk/mistral';
+import { mistral } from '@khulnasoft/mistral';
 ```
 
 ## Chat Models

docs/pages/docs/ai-core/openai.mdx

@@ -11,27 +11,27 @@ It creates language model objects that can be used with the `generateText`, `str
 
 ## Setup
 
-The OpenAI provider is available in the `@ai-sdk/openai` module. You can install it with
+The OpenAI provider is available in the `@khulnasoft/openai` module. You can install it with
 
 <Tabs items={['pnpm', 'npm', 'yarn']}>
   <Tab>
 
 ```bash
-pnpm add @ai-sdk/openai
+pnpm add @khulnasoft/openai
 ```
 
    </Tab>
   <Tab>
 
 ```bash 
-npm i @ai-sdk/openai
+npm i @khulnasoft/openai
 ```
 
   </Tab>
   <Tab>
 
 ```bash 
-yarn add @ai-sdk/openai 
+yarn add @khulnasoft/openai 
 ```
 
   </Tab>
@@ -42,7 +42,7 @@ yarn add @ai-sdk/openai
 You can import `OpenAI` from `ai/openai` and initialize a provider instance with various settings:
 
 ```ts
-import { OpenAI } from '@ai-sdk/openai'
+import { OpenAI } from '@khulnasoft/openai'
 
 const openai = new OpenAI({
   baseUrl: '', // optional base URL for proxies etc.
@@ -54,7 +54,7 @@ const openai = new OpenAI({
 The AI SDK also provides a shorthand `openai` import with an OpenAI provider instance that uses defaults:
 
 ```ts
-import { openai } from '@ai-sdk/openai';
+import { openai } from '@khulnasoft/openai';
 ```
 
 ## Chat Models

docs/pages/docs/ai-core/stream-text.mdx

@@ -90,7 +90,7 @@ by the [`useCompletion`](/docs/api-reference/use-completion) hook.
 
 ```ts
 import { StreamingTextResponse, experimental_streamText } from 'ai';
-import { openai } from '@ai-sdk/openai';
+import { openai } from '@khulnasoft/openai';
 
 export const runtime = 'edge';
 
@@ -114,7 +114,7 @@ by the [`useChat`](/docs/api-reference/use-chat) hook.
 
 ```ts
 import { StreamingTextResponse, experimental_streamText } from 'ai';
-import { openai } from '@ai-sdk/openai';
+import { openai } from '@khulnasoft/openai';
 
 export const runtime = 'edge';
 
@@ -135,7 +135,7 @@ export async function POST(req: Request) {
 
 ```ts
 import { ExperimentalMessage, experimental_streamText } from 'ai';
-import { openai } from '@ai-sdk/openai';
+import { openai } from '@khulnasoft/openai';
 import * as readline from 'node:readline/promises';
 
 const terminal = readline.createInterface({
@@ -181,7 +181,7 @@ import {
   ToolResultPart,
   experimental_streamText,
 } from 'ai';
-import { openai } from '@ai-sdk/openai';
+import { openai } from '@khulnasoft/openai';
 import * as readline from 'node:readline/promises';
 
 const terminal = readline.createInterface({

docs/pages/docs/api-reference/providers/huggingface-stream.mdx

@@ -4,7 +4,7 @@
 
 The `HuggingFaceStream` function is a utility that transforms the output from an array of text generation models hosted on [Hugging Face.co](https://huggingface.co) into a `ReadableStream`. The transformation uses an `AsyncGenerator` as provided by the [Hugging Face Inference SDK](https://huggingface.co/docs/huggingface.js/inference/README)'s `hf.textGenerationStream` method. This feature enables you to handle AI responses in real-time by means of a readable stream.
 
-While `HuggingFaceStream` is compatible with _most_ Hugging Face text generation models, the rapidly evolving landscape of models may result in certain new or niche models not being supported. If you encounter a model that isn't supported, we encourage you to [open an issue](https://github.com/vercel/ai/issues/new).
+While `HuggingFaceStream` is compatible with _most_ Hugging Face text generation models, the rapidly evolving landscape of models may result in certain new or niche models not being supported. If you encounter a model that isn't supported, we encourage you to [open an issue](https://github.com/khulnasoft/ai/issues/new).
 
 To ensure that AI responses are comprised purely of text without any delimiters that could pose issues when rendering in chat or completion modes, we standardize and remove special end-of-response tokens. If your use case requires a different handling of responses, you can fork and modify this stream to meet your specific needs.
 

docs/pages/docs/api-reference/stream-data.mdx

@@ -9,7 +9,7 @@ import { Callout } from 'nextra-theme-docs';
 # `StreamData`
 
 The `StreamData` class allows you to stream arbitrary data to the client alongside your LLM response.
-For information on the implementation, see the associated [pull request](https://github.com/vercel/ai/pull/425).
+For information on the implementation, see the associated [pull request](https://github.com/khulnasoft/ai/pull/425).
 
 ## Usage
 

docs/pages/docs/guides/frameworks/nextjs-app.mdx

@@ -176,7 +176,7 @@ export default function MyComponent() {
 
 ## Examples
 
-- [next-openai](https://github.com/vercel/ai/tree/main/examples/next-openai)
-- [next-replicate](https://github.com/vercel/ai/tree/main/examples/next-replicate)
-- [next-huggingface](https://github.com/vercel/ai/tree/main/examples/next-huggingface)
-- [next-langchain](https://github.com/vercel/ai/tree/main/examples/next-langchain)
+- [next-openai](https://github.com/khulnasoft/ai/tree/main/examples/next-openai)
+- [next-replicate](https://github.com/khulnasoft/ai/tree/main/examples/next-replicate)
+- [next-huggingface](https://github.com/khulnasoft/ai/tree/main/examples/next-huggingface)
+- [next-langchain](https://github.com/khulnasoft/ai/tree/main/examples/next-langchain)

docs/pages/docs/guides/frameworks/nuxt.mdx

@@ -81,5 +81,5 @@ To see the full list of options for `useChat`, see the [API reference](/docs/api
 
 ## Examples
 
-- [nuxt-openai](https://github.com/vercel/ai/tree/main/examples/nuxt-openai)
-- [nuxt-langchain](https://github.com/vercel/ai/tree/main/examples/nuxt-langchain)
+- [nuxt-openai](https://github.com/khulnasoft/ai/tree/main/examples/nuxt-openai)
+- [nuxt-langchain](https://github.com/khulnasoft/ai/tree/main/examples/nuxt-langchain)

docs/pages/docs/guides/frameworks/solidjs.mdx

@@ -84,8 +84,8 @@ export const POST = async (event: APIEvent) => {
 };
 ```
 
-You can visit the full SolidStart example [on GitHub](https://github.com/vercel/ai/blob/main/examples/solidstart-openai).
+You can visit the full SolidStart example [on GitHub](https://github.com/khulnasoft/ai/blob/main/examples/solidstart-openai).
 
 ## Examples
 
-- [solidstart-openai](https://github.com/vercel/ai/tree/main/examples/solidstart-openai)
+- [solidstart-openai](https://github.com/khulnasoft/ai/tree/main/examples/solidstart-openai)