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feat: 添加图像拓展功能
- 新增 /api/extend 路由,集成阿里云Dashscope图像拓展API
- 在系统设置'本地AI设置'中添加图像拓展API配置(API密钥、X/Y轴放大倍数)
- 在图片标注组件中添加'图像拓展'按钮(橙色,Expand图标)
- 在聊天对话图片上添加'图像拓展'按钮,支持动态占位卡片
- 更新ImageProcessingLoading组件支持extend类型(橙色主题)
- 处理后的图片上传到S3,保存到数据库(modelId: extend-1.0)
- 同步到我的相册和出图记录
- 添加完整的API调用文档
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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
AI Chatbot Project
Readme 431 MiB
Languages
TypeScript 97.4%
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Shell 0.5%
JavaScript 0.4%
Python 0.2%
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