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chat web app for teams, sass with user management and ratelimit, support chatgpt(openai & azure), claude, gemini and ollama model

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swuecho/chat

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Demo

video.webm
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规则

  • 第一个消息是系统消息(prompt)
  • 上下文默认附带最新创建的4条消息
  • 第一个注册的用户是管理员
  • 默认限流 100 chatGPT call /10分钟 (OPENAI_RATELIMIT=100)
  • 根据对话生成可以分享的静态页面(like ShareGPT), 也可以继续会话.
  • 对话快照目录(对话集), 支持全文查找(Enlgish), 方便整理, 搜索会话记录.
  • 支持OPEN AI, Claude 模型 免费申请链接
  • 支持Ollama host模型, 配置参考: #396
  • 提示词管理, 提示词快捷键 '/'

参与开发

  1. git clone
  2. golang dev
cd chat; cd api
go install github.com/cosmtrek/air@latest
go mod tidy
# export env var, change base on your env
export PG_HOST=192.168.0.135
export PG_DB=hwu
export PG_USER=hwu
export PG_PASS=pass
export PG_PORT=5432
# export DATABASE_URL= postgres://user:pass@192.168.0.1:5432/db?sslmode=disable

# export OPENAI_API_KEY=sk-xxx, not required if you use `debug` model
# export OPENAI_RATELIMIT=100
#
make serve
  1. node env
cd ..; cd web
npm install
npm run dev
  1. e2e test
cd ..; cd e2e
# export env var, change base on your env
export PG_HOST=192.168.0.135
export PG_DB=hwu
export PG_USER=hwu
export PG_PASS=pass
export PG_PORT=5432
npm install
npx playwright test # --ui 

The instruction might not be accurate, ask in issue or discussion if unclear.

如何部署

参考 docker-compose.yaml

Deploy on Railway

然后配置环境变量就可以了.

PORT=8080
OPENAI_RATELIMIT=0

别的两个 api key 有就填.

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部署之后, 注册用户, 第一个用户是管理员, 然后到 https://$hostname/static/#/admin/user, 设置 ratelimit, 公网部署, 只对信任的email 增加 ratelimit, 这样即使有人注册, 也是不能用的.

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使用本地Ollama 模型

  1. 安装ollama 并下载模型
curl -fsSL https://ollama.com/install.sh | sh
ollama pull mistral

linux 下,默认的systemd 的配置限制了本机访问, 需要改HOST 能远程访问,如果ollama 和chat 在同一个host, 则不存在这个问题

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  1. 在 Chat Admin 页面配置模型 image
id: ollama-{modelName}  # modelName 与 pull的 ollama 模型 一致, 比如 mistral, ollama3, ollama2
name: does not matter, naming as you like, 
baseUrl: http://hostname:11434/api/chat
other fields is irrelevant.

id 和 baseUrl 这两个地方配置对即可。

enjoy!

致谢

LICENCE: MIT

How to Use

  • The first message is a system message (prompt)
  • by default, the latest 4 messages are context
  • First user is superuser.
  • 100 chatgpt api call / 10 mins (OPENAI_RATELIMIT=100)
  • Snapshot conversation and Share (like ShareGPT)
  • Support OPEN AI, Claude model free application link

How to Deploy

Refer to docker-compose.yaml

Deploy on Railway

Then configure the environment variables.

PORT=8080
OPENAI_RATELIMIT=0

Fill in the other two keys if you have them.

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After deployment, registering users, the first user is an administrator, then go to https://$hostname/static/#/admin/user to set rate limiting. Public deployment, only adds rate limiting to trusted emails, so even if someone registers, it will not be available.

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This helps ensure only authorized users can access the deployed system by limiting registration to trusted emails and enabling rate limiting controls.

  1. download ollama and pull mistral model.
curl -fsSL https://ollama.com/install.sh | sh
ollama pull mistral

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  1. config ollama model in chat admin
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id: ollama-{modelName}
name: does not matter, naming as you like
baseUrl: http://hostname:11434/api/chat
other fields is irrelevant.

enjoy!

Acknowledgments