package updates

.env.example

@@ -1,3 +1,6 @@
+# Get your xAI API Key here for chat models: https://console.x.ai/
+XAI_API_KEY=****
+
 # Get your OpenAI API Key here for chat models: https://platform.openai.com/account/api-keys
 OPENAI_API_KEY=****
 

README.md

@@ -23,7 +23,7 @@
 - [AI SDK](https://sdk.vercel.ai/docs)
   - Unified API for generating text, structured objects, and tool calls with LLMs
   - Hooks for building dynamic chat and generative user interfaces
-  - Supports OpenAI (default), Anthropic, Cohere, and other model providers
+  - Supports xAI (default), OpenAI, Fireworks, and other model providers
 - [shadcn/ui](https://ui.shadcn.com)
   - Styling with [Tailwind CSS](https://tailwindcss.com)
   - Component primitives from [Radix UI](https://radix-ui.com) for accessibility and flexibility
@@ -35,19 +35,19 @@
 
 ## Model Providers
 
-This template ships with OpenAI `gpt-4o` as the default. However, with the [AI SDK](https://sdk.vercel.ai/docs), you can switch LLM providers to [OpenAI](https://openai.com), [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), and [many more](https://sdk.vercel.ai/providers/ai-sdk-providers) with just a few lines of code.
+This template ships with [xAI](https://x.ai) `grok-2-1212` as the default chat model. However, with the [AI SDK](https://sdk.vercel.ai/docs), you can switch LLM providers to [OpenAI](https://openai.com), [Anthropic](https://anthropic.com), [Cohere](https://cohere.com/), and [many more](https://sdk.vercel.ai/providers/ai-sdk-providers) with just a few lines of code.
 
 ## Deploy Your Own
 
 You can deploy your own version of the Next.js AI Chatbot to Vercel with one click:
 
-[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot&env=AUTH_SECRET,OPENAI_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=AI%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fchat.vercel.ai&stores=[{%22type%22:%22postgres%22},{%22type%22:%22blob%22}])
+[![Deploy with Vercel](https://vercel.com/button)](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot&env=AUTH_SECRET,OPENAI_API_KEY,XAI_API_KEY,FIREWORKS_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=AI%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fchat.vercel.ai&stores=[{%22type%22:%22postgres%22},{%22type%22:%22blob%22}])
 
 ## Running locally
 
 You will need to use the environment variables [defined in `.env.example`](.env.example) to run Next.js AI Chatbot. It's recommended you use [Vercel Environment Variables](https://vercel.com/docs/projects/environment-variables) for this, but a `.env` file is all that is necessary.
 
-> Note: You should not commit your `.env` file or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts.
+> Note: You should not commit your `.env` file or it will expose secrets that will allow others to control access to your various AI and authentication provider accounts.
 
 1. Install Vercel CLI: `npm i -g vercel`
 2. Link local instance with Vercel and GitHub accounts (creates `.vercel` directory): `vercel link`

components/chat-header.tsx

@@ -72,7 +72,7 @@ function PureChatHeader({
         asChild
       >
         <Link
-          href="https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot&env=AUTH_SECRET,OPENAI_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=AI%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fchat.vercel.ai&stores=%5B%7B%22type%22:%22postgres%22%7D,%7B%22type%22:%22blob%22%7D%5D"
+          href="https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot&env=AUTH_SECRET,OPENAI_API_KEY,XAI_API_KEY,FIREWORKS_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=AI%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fchat.vercel.ai&stores=%5B%7B%22type%22:%22postgres%22%7D,%7B%22type%22:%22blob%22%7D%5D"
           target="_noblank"
         >
           <VercelIcon size={16} />

docs/01-quick-start.md

@@ -8,11 +8,14 @@ Deploying to [Vercel](https://vercel.com) is the quickest way to get started wit
 
 - Vercel account and [Vercel CLI](https://vercel.com/docs/cli)
 - GitHub/GitLab/Bitbucket account
-- API Key from [OpenAI](https://platform.openai.com)
+- API Keys from three AI model providers:
+  - [xAI](https://console.x.ai/)
+  - [OpenAI](https://platform.openai.com/account/api-keys)
+  - [Fireworks](https://fireworks.ai/account/api-keys)
 
 ### Deploy to Vercel
 
-To deploy the chatbot template to Vercel, click this [link](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot&env=AUTH_SECRET,OPENAI_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=AI%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fchat.vercel.ai&stores=%5B%7B%22type%22:%22postgres%22%7D,%7B%22type%22:%22blob%22%7D%5D) to enter the 1-click deploy flow.
+To deploy the chatbot template to Vercel, click this [link](https://vercel.com/new/clone?repository-url=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot&env=AUTH_SECRET,OPENAI_API_KEY,XAI_API_KEY,FIREWORKS_API_KEY&envDescription=Learn%20more%20about%20how%20to%20get%20the%20API%20Keys%20for%20the%20application&envLink=https%3A%2F%2Fgithub.com%2Fvercel%2Fai-chatbot%2Fblob%2Fmain%2F.env.example&demo-title=AI%20Chatbot&demo-description=An%20Open-Source%20AI%20Chatbot%20Template%20Built%20With%20Next.js%20and%20the%20AI%20SDK%20by%20Vercel.&demo-url=https%3A%2F%2Fchat.vercel.ai&stores=%5B%7B%22type%22:%22postgres%22%7D,%7B%22type%22:%22blob%22%7D%5D) to enter the 1-click deploy flow.
 
 During the flow, you will be prompted to create and connect to a postgres database and blob store. You will also need to provide environment variables for the application.
 

docs/02-update-models.md

@@ -1,42 +1,41 @@
 # Update Models
 
-The chatbot template ships with [OpenAI](https://sdk.vercel.ai/providers/ai-sdk-providers/openai) as the default model provider. Since the template is powered by the [AI SDK](https://sdk.vercel.ai), which supports [multiple providers](https://sdk.vercel.ai/providers/ai-sdk-providers) out of the box, you can easily switch to another provider of your choice.
+The chatbot template ships with [xAI](https://sdk.vercel.ai/providers/ai-sdk-providers/xai) as the default model provider. Since the template is powered by the [AI SDK](https://sdk.vercel.ai), which supports [multiple providers](https://sdk.vercel.ai/providers/ai-sdk-providers) out of the box, you can easily switch to another provider of your choice.
 
 To update the models, you will need to update the custom provider called `myProvider` at `/lib/ai/models.ts` shown below.
 
 ```ts
 import { customProvider } from "ai";
-import { openai } from "@ai-sdk/openai";
+import { xai } from "@ai-sdk/xai";
 
 export const myProvider = customProvider({
   languageModels: {
-    "chat-model-small": openai("gpt-4o-mini"),
-    "chat-model-large": openai("gpt-4o"),
+    "chat-model": xai("grok-2-1212"),
     "chat-model-reasoning": wrapLanguageModel({
       model: fireworks("accounts/fireworks/models/deepseek-r1"),
       middleware: extractReasoningMiddleware({ tagName: "think" }),
     }),
-    "title-model": openai("gpt-4-turbo"),
-    "artifact-model": openai("gpt-4o-mini"),
+    "title-model": xai("grok-2-1212"),
+    "artifact-model": xai("grok-2-1212"),
   },
   imageModels: {
-    "small-model": openai.image("dall-e-3"),
+    "small-model": openai.image("dall-e-2"),
+    "large-model": openai.image("dall-e-3"),
   },
 });
 ```
 
-You can replace the `openai` models with any other provider of your choice. You will need to install the provider library and switch the models accordingly.
+You can replace the models with any other provider of your choice. You will need to install the provider library and switch the models accordingly.
 
-For example, if you want to use Anthropic's `claude-3-5-sonnet` model for `chat-model-large`, you can replace the `openai` model with the `anthropic` model as shown below.
+For example, if you want to use Anthropic's `claude-3-5-sonnet` model for `chat-model`, you can replace the `xai` model with the `anthropic` model as shown below.
 
 ```ts
 import { customProvider } from "ai";
 import { anthropic } from "@ai-sdk/anthropic";
 
 export const myProvider = customProvider({
   languageModels: {
-    "chat-model-small": openai("gpt-4o-mini"),
-    "chat-model-large": anthropic("claude-3-5-sonnet"), // Replace openai with anthropic
+    "chat-model": anthropic("claude-3-5-sonnet"), // Replace xai with anthropic
     "chat-model-reasoning": wrapLanguageModel({
       model: fireworks("accounts/fireworks/models/deepseek-r1"),
       middleware: extractReasoningMiddleware({ tagName: "think" }),

lib/ai/models.ts

@@ -1,4 +1,4 @@
-export const DEFAULT_CHAT_MODEL: string = 'chat-model-small';
+export const DEFAULT_CHAT_MODEL: string = 'chat-model';
 
 interface ChatModel {
   id: string;
@@ -8,14 +8,9 @@ interface ChatModel {
 
 export const chatModels: Array<ChatModel> = [
   {
-    id: 'chat-model-small',
-    name: 'Small model',
-    description: 'Small model for fast, lightweight tasks',
-  },
-  {
-    id: 'chat-model-large',
-    name: 'Large model',
-    description: 'Large model for complex, multi-step tasks',
+    id: 'chat-model',
+    name: 'Chat model',
+    description: 'Primary model for all-purpose chat',
   },
   {
     id: 'chat-model-reasoning',

lib/ai/providers.ts

@@ -5,6 +5,7 @@ import {
 } from 'ai';
 import { openai } from '@ai-sdk/openai';
 import { fireworks } from '@ai-sdk/fireworks';
+import { xai } from '@ai-sdk/xai';
 import { isTestEnvironment } from '../constants';
 import {
   artifactModel,
@@ -16,23 +17,21 @@ import {
 export const myProvider = isTestEnvironment
   ? customProvider({
       languageModels: {
-        'chat-model-small': chatModel,
-        'chat-model-large': chatModel,
+        'chat-model': chatModel,
         'chat-model-reasoning': reasoningModel,
         'title-model': titleModel,
         'artifact-model': artifactModel,
       },
     })
   : customProvider({
       languageModels: {
-        'chat-model-small': openai('gpt-4o-mini'),
-        'chat-model-large': openai('gpt-4o'),
+        'chat-model': xai('grok-2-1212'),
         'chat-model-reasoning': wrapLanguageModel({
           model: fireworks('accounts/fireworks/models/deepseek-r1'),
           middleware: extractReasoningMiddleware({ tagName: 'think' }),
         }),
-        'title-model': openai('gpt-4-turbo'),
-        'artifact-model': openai('gpt-4o-mini'),
+        'title-model': xai('grok-2-1212'),
+        'artifact-model': xai('grok-2-1212'),
       },
       imageModels: {
         'small-model': openai.image('dall-e-2'),

package.json

@@ -19,9 +19,10 @@
     "test": "export PLAYWRIGHT=True && pnpm exec playwright test --workers=4"
   },
   "dependencies": {
-    "@ai-sdk/fireworks": "0.1.16",
-    "@ai-sdk/openai": "1.2.5",
+    "@ai-sdk/fireworks": "^0.1.16",
+    "@ai-sdk/openai": "^1.2.5",
     "@ai-sdk/react": "^1.1.23",
+    "@ai-sdk/xai": "^1.1.15",
     "@codemirror/lang-javascript": "^6.2.2",
     "@codemirror/lang-python": "^6.1.6",
     "@codemirror/state": "^6.5.0",