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feat: 自动使用历史图片进行连续对话编辑
- 用户没有发送新图片时,自动使用历史中最近的图片
- 支持连续对话场景:换颜色、调整、重做等
- 优先使用AI生成的图片,其次是用户上传的图片
- 让对话更自然,不需要每次都重新上传图片

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-01-31 23:37:23 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-25 23:08:33 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-29 00:33:12 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00
2025-12-17 20:15:18 +08:00

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
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