Your Name 7526a0159c feat: 完善图片编辑功能和UI优化
- 修复浏览器favicon未更新问题(使用settings.favicon)
- 将'图片标注'组件名改为'图片编辑'(所有相关文本和注释)
- 在顶部导航栏添加'图片编辑'按钮,支持上传图片进行编辑
- 图片编辑完成后自动添加到聊天输入框(通过sessionStorage传递)
- 优化图片编辑组件下载按钮UI(更明显的样式,添加文字标签)
- 图片处理结果(变清晰/抠图/图像拓展)自动保存到相册和生图记录
- 优化图片编辑确认逻辑,优先使用处理后的图片
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Next.js 14 and App Router-ready AI chatbot.

Chat SDK

Chat SDK is a free, open-source template built with Next.js and the AI SDK that helps you quickly build powerful chatbot applications.

Read Docs · Features · Model Providers · Deploy Your Own · Running locally


Features

  • Next.js App Router
    • Advanced routing for seamless navigation and performance
    • React Server Components (RSCs) and Server Actions for server-side rendering and increased performance
  • AI SDK
    • Unified API for generating text, structured objects, and tool calls with LLMs
    • Hooks for building dynamic chat and generative user interfaces
    • Supports xAI (default), OpenAI, Fireworks, and other model providers
  • shadcn/ui
  • Data Persistence
  • Auth.js
    • Simple and secure authentication

Model Providers

This template uses the Vercel AI Gateway to access multiple AI models through a unified interface. The default configuration includes xAI models (grok-2-vision-1212, grok-3-mini) routed through the gateway.

AI Gateway Authentication

For Vercel deployments: Authentication is handled automatically via OIDC tokens.

For non-Vercel deployments: You need to provide an AI Gateway API key by setting the AI_GATEWAY_API_KEY environment variable in your .env.local file.

With the AI SDK, you can also switch to direct LLM providers like OpenAI, Anthropic, Cohere, and many more 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

Running locally

You will need to use the environment variables defined in .env.example to run Next.js AI Chatbot. It's recommended you use Vercel 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 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
  3. Download your environment variables: vercel env pull
pnpm install
pnpm db:migrate # Setup database or apply latest database changes
pnpm dev

Your app template should now be running on localhost:3000.

Description
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