semvec/pypi-packages huggingface dataset:
apything 0.2.0
A python wrapper for the AnythingLLM API
Requires Python: >=3.8

# 📦 Project Name

> Short tagline or description of what your project does.

![License](https://img.shields.io/github/license/yourusername/projectname)
![Python version](https://img.shields.io/badge/python-3.8+-blue.svg)
[![Documentation Status](https://readthedocs.org/projects/projectname/badge/?version=latest)](https://projectname.readthedocs.io/en/latest/)

---

## 🚀 Features

- ✨ Feature 1
- ⚡ Feature 2
- 🔧 Feature 3

## 📚 Documentation

Full documentation is available at [projectname.readthedocs.io](https://projectname.readthedocs.io)

## 🛠 Installation

```bash
pip install your-project
```

Or install from source:

```bash
git clone https://github.com/yourusername/projectname.git
cd projectname
pip install -e .
```

## 🧩 Usage

Put here some examples? or reference to docs?

## 🧪 Running Tests

TBD

## 🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first.
See CONTRIBUTING.md for details.

## 📄 License

Distributed under the MIT License. See LICENSE for more information.

## 💬 Questions or Feedback?

Feel free to open an issue or reach out.

© [Niccolò Califano](https://www.linkedin.com/in/niccol%C3%B2-califano-143b5a193/)
MongoAgent 0.1.2
An Applicaiton help to communicate with mongo using chatgpt and AI
Requires Python: >=3.6

# MongoAgent 🧠🔍

**MongoAgent** is an AI-powered assistant that helps generate and execute MongoDB queries using OpenAI. It supports intelligent querying, CRUD operations, collection/documentation exploration, and metadata generation.

## ✨ Features

- Connect to MongoDB
- Auto-generate queries using OpenAI (GPT-3.5)
- CRUD operations on collections and documents
- Smart prompt handling for listing collections
- Auto-inferred schema from sample documents
- Optional verbose logging for debugging
- Extendable for aggregation and custom operations

## How to install

```
pip install MongoAgent
```
## How to use?
```
from  MongoAgent import MongoAgent

agent = MongoAgent(mongoURL=..., openAI_token=..., db_name=...)
ai_query = agent.execute(prompt="show last 3 entries in logs table")
print("\n🤖 AI Response:\n", ai_query)
result = agent.execute_from_ai_query(ai_query)
print(result)
```