PyRomusa AI — v0.9.1 🤖

• Version type: STABLE
• Release date: 2026-08-11

Overview

This version/framework focuses on creating a very simple, beginner-friendly chatbot system, built with:

• custom logic (Chatbot() object)
• real machine learning models (RealChatbot() object)

It exists to:

• help beginners understand how chatbot logic can work
• allow fast experimentation with simple AI-like behaviour
• avoid complex frameworks and heavy dependencies (Chatbot() object)

What makes it different:

• you can avoid neural networks, hidden layers, ML libraries (Chatbot() object)
• you can using LLM tehnologies (RealChatbot() object)
• fully custom, readable logic

This version implements two types of chatbot objects:

• Chatbot() (optimized for few training examples and hardware-undemanding)
• RealChatbot() (optimized for large, serious projects, real experimentation and hardware-demanding)

Files Included

General structure (exactly this structure will be found if you search in 📁all versions of this repository):

|-📁PyRomusa_AI - vX.Y.Z/
|----📄README.md
|
|----📁PyRomusa_AI/
|-------- 🐍PyRomusa_AI.py
|-------- 🐍errors.py
|
|-------- 📁Datasets/
|------------ more Python files...
|
|-------- 📁Reply_Engines/
|------------ more Python files...

More exact structure (if you search in the 📁src folder):

|- 📁src/
|--- ⚙️pyproject.toml
|--- 📄README.md
├─── 📁pyromusa_ai/
    |--- 🐍core.py
    |--- 🐍__init__.py
    |--- 🐍errors.py
    ├─── 📁Datasets
    └─── 📁Reply_Engines

Where:

What's New

• |RealChatbot() object| New parameter on bot.show_number_of_parameters(), with_print: Do you want a printed value directly or just the return value? Now you can modify the with_print parameter of this function, depending on your needs.

• |RealChatbot() object| New functions, bot.show_current_training_text(), bot.trainer.create_personalized_dataset() and bot.reset(): Now you can view the chatbot's training text using a function, create your own dataset structure, or reset the chatbot's specifications to factory defaults in the same script.

• |RealChatbot() object| More exactly error when using bot.trainer.start() function: When you run this function and it should return an error, you can clearly see if the error produced is actually due to the length of the dataset or some other unexpected error.

• Update to the Romanian language dataset, 'Teacher for PyRomusa AI': It has been added more training examples to be able to answer more prompts. It is now a better dataset than in the previous version.

✅ STABLE release notice:

• The API is considered stable and ready for regular use
• Core logic is implemented and tested
• Behaviour is consistent across typical use cases
• Minor bugs may still exist, but no breaking changes are expected

Quick Usage Examples

1. Creating your first functional chatbot ever

from pyromusa_ai import Chatbot

# Create a chatbot
bot = Chatbot(chatbot_name="RomusaBot")

# Add training data
bot.trainer.add_data("Hello!", "Hi there!")
bot.trainer.add_data("Bye!", "Goodbye!")

# Start training
bot.trainer.start()

# Get a response
print(bot.reply_at("Hello!"))

2. Learn to start using the framework

from pyromusa_ai import Chatbot

# Create a chatbot
bot = Chatbot()

# Get help
bot.helper.how_to_start()

Note:

Depending on how you installed PyRomusa AI, this framework, in your code, must be imported like this, one of these 2 variants:

a) If you installed with pip install ...:

from pyromusa_ai import Chatbot

b) If you installed manually from this repository, preserving file names, from 📁all versions folder:

from PyRomusa_AI import Chatbot # If your code is located in the same folder as 🐍PyRomusa_AI.py

or

from PyRomusa_AI.PyRomusa_AI import Chatbot # If your code is in the same folder as the folder that has all the resources for PyRomusa AI (📁PyRomusa_AI)