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- 客户端压缩：保持原格式（JPG保持JPG，PNG保持PNG），不再强制转换为WebP - 提高压缩质量：最低质量从0.6提高到0.90，避免画质损失 - 启用高质量图像平滑：减少锯齿，提升画质 - 服务器端智能优化：使用MozJPEG和PNG优化算法 - 避免双重压缩：小文件(<3MB)跳过服务器端优化，只有优化效果明显(>5%)才使用 - 优化策略：优先缩小尺寸而不是降低质量，留余量给服务器端优化 技术改进： - JPEG: MozJPEG编码器，质量92%，渐进式，优化扫描 - PNG: 压缩级别6，自适应过滤，调色板优化 - 智能判断：避免不必要的双重压缩，保护画质
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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
- Styling with Tailwind CSS
- Component primitives from Radix UI for accessibility and flexibility
- Data Persistence
- Neon Serverless Postgres for saving chat history and user data
- Vercel Blob for efficient file storage
- 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:
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
.envfile or it will expose secrets that will allow others to control access to your various AI and authentication provider accounts.
- Install Vercel CLI:
npm i -g vercel - Link local instance with Vercel and GitHub accounts (creates
.verceldirectory):vercel link - 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.