
🍩 Deploy Docs
&
🧀 Dev Docs
&
🤝 Contribute
Python>=3.9
This project is not abandoned, just no new features are planned.
This project was developed as an experimental project for MQ event-driven LLM.
If you encounter a problem, please raise an Issue
If you are looking for similar projects, check out: https://github.com/AstrBotDevs/AstrBot
It integrates a message queuing and snapshot system, offering plugin mechanisms and authentication prior to plugin
execution.
The bot adheres to the Openai Format Schema. Please adapt using gateway
or one-api independently.
| Demo |
Vision With Voice |
Code Interpreter |
 |
 |
 |
🔨 Roadmap
The program has iterated to its fourth generation.
📦 Features
- 🍪 A comprehensive plugin development ecosystem, adopting a classic design, and seamless integration with plugins
through
pip installation
- 📝 Message system with no time or sender constraints, offering fully decoupled logics
- 📬 Offers Login via a URL mechanism, providing a flexible and expandable authentication development solution
- 🍰 Empowers users to authorize plugin execution. Users can configure plugin environment variables at their discretion
- 📦 Support for plugins to access files
- 🍟 Multi-platform support – extend new platforms by inheriting the base class
- 🍔 Plugins can determine their appearance in new sessions dynamically, preventing performance degradation despite large
amounts of plugins
🍔 Login Modes
Login via url: Use /login <a token>$<something like https://provider.com/login> to Login. The program posts the token to the interface to
retrieve configuration
information, how to develop this.
Login: Use /login https://<api endpoint>/v1$<api key>$<the model>$<tool model such as gpt-3.5-turbo> to login
🧀 Plugin Can Do More
| Sticker Converter |
Timer Function(built-in) |
 |
 |
| Platform |
Support |
File System |
Remarks |
| Telegram |
✅ |
✅ |
|
| Discord |
✅ |
✅ |
|
| Kook |
✅ |
✅ |
Does not support triggering by reply |
| Slack |
✅ |
✅ |
Does not support triggering by reply |
| Line |
❌ |
|
|
| QQ |
❌ |
|
|
| Wechat |
❌ |
|
|
| Twitter |
❌ |
|
|
| Matrix |
❌ |
|
|
| IRC |
❌ |
|
|
| … |
|
|
Create Issue/PR |
📦 Quick Start
Refer to the 🧀 Deployment Document for more information.
📦 One-click Deployment
If you are using a brand-new server, you can use the following shell to automatically install this project.
curl -sSL https://raw.githubusercontent.com/LLMKira/Openaibot/main/deploy.sh | bash
📦 Manual Installation
# Install Voice dependencies
apt install ffmpeg
# Install RabbitMQ
docker pull rabbitmq:3.10-management
docker run -d -p 5672:5672 -p 15672:15672 \
-e RABBITMQ_DEFAULT_USER=admin \
-e RABBITMQ_DEFAULT_PASS=8a8a8a \
--hostname myRabbit \
--name rabbitmq \
rabbitmq:3.10-management
docker ps -l
# Install Project
git clone https://github.com/LlmKira/Openaibot/
cd Openaibot
pip install pdm
pdm install -G bot
cp .env.exp .env && nano .env
# Test
pdm run python3 start_sender.py
pdm run python3 start_receiver.py
# Host
apt install npm
npm install pm2 -g
pm2 start pm2.json
Be sure to change the default password for the command, or disable open ports to prevent the database from being
scanned and attacked.
🥣 Docker
Build Hub: sudoskys/llmbot
Note that if you run this project using Docker, you will start Redis, MongoDB, and RabbitMQ. But if you’re running
locally, just RabbitMQ
Manual Docker-compose Installation
git clone https://github.com/LlmKira/Openaibot.git
cd Openaibot
cp .env.exp .env&&nano .env
docker-compose -f docker-compose.yml up -d
The Docker configuration file docker-compose.yml contains all databases. In fact, Redis and MongoDB are not required.
You can remove these databases yourself and use the local file system.
Update image using docker-compose pull.
Use docker exec -it llmbot /bin/bash to view Shell in Docker, enter exit to exit.
🍪 Slash Commands
clear - Deletes chat records
login - Login to the bot
help - Displays documentation
chat - Conversation
task - Use a function to converse
ask - Disable function-based conversations
tool - Lists all functions
auth - Authorize a function
env - Environment variables of the function
learn - Learn your instructions, /learn reset to clear
💻 How to Develop Plugins?
Refer to the example plugins in the plugins directory and
the 🧀 Plugin Development Document for plugin development documentation.
Hooks
Hooks control the EventMessage in sender and receiver. For example, we have voice_hook in built-in hooks.
you can enable it by setting VOICE_REPLY_ME=true in .env.
/env VOICE_REPLY_ME=yes
# must
/env REECHO_VOICE_KEY=<key in dev.reecho.ai>
# not must
use /env VOICE_REPLY_ME=NONE to disable this env.
check the source code in llmkira/extra/voice_hook.py, learn to write your own hooks.

📜 Notice
This project, named OpenAiBot, signifying “Open Artificial Intelligence Robot”, is not officially affiliated with
OpenAI.

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