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feat: use xai image model and update deploy link (#882)

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Jeremy 2025-03-21 21:18:56 -07:00 • committed by GitHub
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docs/01-quick-start.md
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@ -15,7 +15,9 @@ Deploying to [Vercel](https://vercel.com) is the quickest way to get started wit
### 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,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.
To deploy the chatbot template to Vercel, click the button below to enter the 1-click deploy flow.
[![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&envDescription=Generate%20a%20random%20secret%20to%20use%20for%20authentication&envLink=https%3A%2F%2Fgenerate-secret.vercel.app%2F32&project-name=my-awesome-chatbot&repository-name=my-awesome-chatbot&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&products=%5B%7B%22type%22%3A%22integration%22%2C%22protocol%22%3A%22ai%22%2C%22productSlug%22%3A%22grok%22%2C%22integrationSlug%22%3A%22xai%22%7D%2C%7B%22type%22%3A%22integration%22%2C%22protocol%22%3A%22ai%22%2C%22productSlug%22%3A%22api-key%22%2C%22integrationSlug%22%3A%22groq%22%7D%2C%7B%22type%22%3A%22integration%22%2C%22protocol%22%3A%22storage%22%2C%22productSlug%22%3A%22neon%22%2C%22integrationSlug%22%3A%22neon%22%7D%2C%7B%22type%22%3A%22blob%22%7D%5D)
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.