Skip to content

khulnasoft/NextGPT

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

34 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

NextGpt (ChatGPT Next Web)

One-Click to get a well-designed cross-platform ChatGPT web UI, with GPT3, GPT4 & Gemini Pro support.

Saas Web Windows MacOS Linux

NextGptAI / Web App / Desktop App / Discord / Enterprise Edition / Twitter

Deploy on Zeabur Deploy on Zeabur Open in Gitpod

Enterprise Edition

Meeting Your Company's Privatization and Customization Deployment Requirements:

  • Brand Customization: Tailored VI/UI to seamlessly align with your corporate brand image.
  • Resource Integration: Unified configuration and management of dozens of AI resources by company administrators, ready for use by team members.
  • Permission Control: Clearly defined member permissions, resource permissions, and knowledge base permissions, all controlled via a corporate-grade Admin Panel.
  • Knowledge Integration: Combining your internal knowledge base with AI capabilities, making it more relevant to your company's specific business needs compared to general AI.
  • Security Auditing: Automatically intercept sensitive inquiries and trace all historical conversation records, ensuring AI adherence to corporate information security standards.
  • Private Deployment: Enterprise-level private deployment supporting various mainstream private cloud solutions, ensuring data security and privacy protection.
  • Continuous Updates: Ongoing updates and upgrades in cutting-edge capabilities like multimodal AI, ensuring consistent innovation and advancement.

For enterprise inquiries, please contact: business@nextgpt.khulnasoft.com

Features

  • Deploy for free with one-click on Vercel in under 1 minute
  • Compact client (~5MB) on Linux/Windows/MacOS, download it now
  • Fully compatible with self-deployed LLMs, recommended for use with RWKV-Runner or LocalAI
  • Privacy first, all data is stored locally in the browser
  • Markdown support: LaTex, mermaid, code highlight, etc.
  • Responsive design, dark mode and PWA
  • Fast first screen loading speed (~100kb), support streaming response
  • New in v2: create, share and debug your chat tools with prompt templates (mask)
  • Awesome prompts powered by awesome-chatgpt-prompts-zh and awesome-chatgpt-prompts
  • Automatically compresses chat history to support long conversations while also saving your tokens
  • I18n: English, 简体中文, 繁体中文, 日本語, Français, Español, Italiano, Türkçe, Deutsch, Tiếng Việt, Русский, Čeština, 한국어, Indonesia

Roadmap

  • System Prompt: pin a user defined prompt as system prompt #138
  • User Prompt: user can edit and save custom prompts to prompt list
  • Prompt Template: create a new chat with pre-defined in-context prompts #993
  • Share as image, share to ShareGPT #1741
  • Desktop App with tauri
  • Self-host Model: Fully compatible with RWKV-Runner, as well as server deployment of LocalAI: llama/gpt4all/rwkv/vicuna/koala/gpt4all-j/cerebras/falcon/dolly etc.
  • Artifacts: Easily preview, copy and share generated content/webpages through a separate window #5092
  • Plugins: support network search, calculator, any other apis etc. #165 #5353
    • network search, calculator, any other apis etc. #165 #5353
  • local knowledge base

What's New

  • 🚀 v2.15.0 Now supports Plugins! Read this: NextGPT-Plugin
  • 🚀 v2.14.0 Now supports Artifacts & SD
  • 🚀 v2.10.1 support Google Gemini Pro model.
  • 🚀 v2.9.11 you can use azure endpoint now.
  • 🚀 v2.8 now we have a client that runs across all platforms!
  • 🚀 v2.7 let's share conversations as image, or share to ShareGPT!
  • 🚀 v2.0 is released, now you can create prompt templates, turn your ideas into reality! Read this: ChatGPT Prompt Engineering Tips: Zero, One and Few Shot Prompting.

Get Started

  1. Get OpenAI API Key;
  2. Click Deploy with Vercel, remember that CODE is your page password;
  3. Enjoy :)

FAQ

English > FAQ

Keep Updated

If you have deployed your own project with just one click following the steps above, you may encounter the issue of "Updates Available" constantly showing up. This is because Vercel will create a new project for you by default instead of forking this project, resulting in the inability to detect updates correctly.

We recommend that you follow the steps below to re-deploy:

  • Delete the original repository;
  • Use the fork button in the upper right corner of the page to fork this project;
  • Choose and deploy in Vercel again, please see the detailed tutorial.

Enable Automatic Updates

If you encounter a failure of Upstream Sync execution, please manually update code.

After forking the project, due to the limitations imposed by GitHub, you need to manually enable Workflows and Upstream Sync Action on the Actions page of the forked project. Once enabled, automatic updates will be scheduled every hour:

Automatic Updates

Enable Automatic Updates

Manually Updating Code

If you want to update instantly, you can check out the GitHub documentation to learn how to synchronize a forked project with upstream code.

You can star or watch this project or follow author to get release notifications in time.

Access Password

This project provides limited access control. Please add an environment variable named CODE on the vercel environment variables page. The value should be passwords separated by comma like this:

code1,code2,code3

After adding or modifying this environment variable, please redeploy the project for the changes to take effect.

Environment Variables

简体中文 > 如何配置 api key、访问密码、接口代理

CODE (optional)

Access password, separated by comma.

OPENAI_API_KEY (required)

Your openai api key, join multiple api keys with comma.

BASE_URL (optional)

Default: https://api.openai.com

Examples: http://your-openai-proxy.com

Override openai api request base url.

OPENAI_ORG_ID (optional)

Specify OpenAI organization ID.

AZURE_URL (optional)

Example: https://{azure-resource-url}/openai

Azure deploy url.

AZURE_API_KEY (optional)

Azure Api Key.

AZURE_API_VERSION (optional)

Azure Api Version, find it at Azure Documentation.

GOOGLE_API_KEY (optional)

Google Gemini Pro Api Key.

GOOGLE_URL (optional)

Google Gemini Pro Api Url.

ANTHROPIC_API_KEY (optional)

anthropic claude Api Key.

ANTHROPIC_API_VERSION (optional)

anthropic claude Api version.

ANTHROPIC_URL (optional)

anthropic claude Api Url.

BAIDU_API_KEY (optional)

Baidu Api Key.

BAIDU_SECRET_KEY (optional)

Baidu Secret Key.

BAIDU_URL (optional)

Baidu Api Url.

BYTEDANCE_API_KEY (optional)

ByteDance Api Key.

BYTEDANCE_URL (optional)

ByteDance Api Url.

ALIBABA_API_KEY (optional)

Alibaba Cloud Api Key.

ALIBABA_URL (optional)

Alibaba Cloud Api Url.

IFLYTEK_URL (Optional)

iflytek Api Url.

IFLYTEK_API_KEY (Optional)

iflytek Api Key.

IFLYTEK_API_SECRET (Optional)

iflytek Api Secret.

HIDE_USER_API_KEY (optional)

Default: Empty

If you do not want users to input their own API key, set this value to 1.

DISABLE_GPT4 (optional)

Default: Empty

If you do not want users to use GPT-4, set this value to 1.

ENABLE_BALANCE_QUERY (optional)

Default: Empty

If you do want users to query balance, set this value to 1.

DISABLE_FAST_LINK (optional)

Default: Empty

If you want to disable parse settings from url, set this to 1.

CUSTOM_MODELS (optional)

Default: Empty Example: +llama,+claude-2,-gpt-3.5-turbo,gpt-4-1106-preview=gpt-4-turbo means add llama, claude-2 to model list, and remove gpt-3.5-turbo from list, and display gpt-4-1106-preview as gpt-4-turbo.

To control custom models, use + to add a custom model, use - to hide a model, use name=displayName to customize model name, separated by comma.

User -all to disable all default models, +all to enable all default models.

For Azure: use modelName@azure=deploymentName to customize model name and deployment name.

Example: +gpt-3.5-turbo@azure=gpt35 will show option gpt35(Azure) in model list. If you only can use Azure model, -all,+gpt-3.5-turbo@azure=gpt35 will gpt35(Azure) the only option in model list.

For ByteDance: use modelName@bytedance=deploymentName to customize model name and deployment name.

Example: +Doubao-lite-4k@bytedance=ep-xxxxx-xxx will show option Doubao-lite-4k(ByteDance) in model list.

DEFAULT_MODEL (optional)

Change default model

WHITE_WEBDAV_ENDPOINTS (optional)

You can use this option if you want to increase the number of webdav service addresses you are allowed to access, as required by the format:

  • Each address must be a complete endpoint

https://xxxx/yyy

  • Multiple addresses are connected by ', '

DEFAULT_INPUT_TEMPLATE (optional)

Customize the default template used to initialize the User Input Preprocessing configuration item in Settings.

STABILITY_API_KEY (optional)

Stability API key.

STABILITY_URL (optional)

Customize Stability API url.

Requirements

NodeJS >= 18, Docker >= 20

Development

Open in Gitpod

Before starting development, you must create a new .env.local file at project root, and place your api key into it:

OPENAI_API_KEY=<your api key here>

# if you are not able to access openai service, use this BASE_URL
BASE_URL=https://chatgpt1.nextweb.fun/api/proxy

Local Development

# 1. install nodejs and yarn first
# 2. config local env vars in `.env.local`
# 3. run
yarn install
yarn dev

Docker (Recommended)

docker pull khulnasoft/nextgpt

docker run -d -p 3000:3000 \
   -e OPENAI_API_KEY=sk-xxxx \
   -e CODE=your-password \
   khulnasoft/nextgpt

You can start service behind a proxy:

docker run -d -p 3000:3000 \
   -e OPENAI_API_KEY=sk-xxxx \
   -e CODE=your-password \
   -e PROXY_URL=http://localhost:7890 \
   khulnasoft/nextgpt

If your proxy needs password, use:

-e PROXY_URL="http://127.0.0.1:7890 user pass"

Shell

bash <(curl -s https://raw.githubusercontent.com/KhulnaSoft/NextGPT/main/scripts/setup.sh)

Documentation

Please go to the [docs][./docs] directory for more documentation instructions.

Screenshots

Settings

More

Translation

If you want to add a new translation, read this document.

Contributors

LICENSE

MIT