semvec/pypi-packages huggingface dataset:
uta-av 0.1.1
A terminal agent for generating and executing Ubuntu commands for you.
Requires Python: >=3.6

# 🚀 UTA-AV: Ubuntu Terminal Agent - AgentsValley

UTA-AV (Ubuntu Terminal Agent - AgentsValley) is an AI-powered terminal assistant designed to simplify your command-line experience. No need to remember complex commands or search for syntax—just tell UTA-AV what you want to do, and it will generate and execute the required commands for you.

Whether you’re a developer, sysadmin, or just exploring Ubuntu, UTA-AV makes terminal tasks easy, efficient, and error-free.

## 🌟 Features

Simplified Terminal Commands: Converts your natural language prompts into executable commands.
Time Saver: Automates repetitive tasks and eliminates human error.
Beginner-Friendly: Accessible for both beginners and experienced users.

## 🛠️ Installation

### Step 1: Install UTA-AV

Install the UTA-AV package using pip:

pip install uta-av

## 🐍 Python Environment Setup
To ensure compatibility and isolate dependencies, it’s recommended to create a Python virtual environment.

### Step 2: Create a Python Environment

Run the following command to create a virtual environment:

python3 -m venv uta-av-env

### Step 3: Activate the Environment

source uta-av-env/bin/activate

Now your Python environment is ready for UTA-AV.

## 🖥️ How to Use UTA-AV

Once installed, follow these steps to use the agent:

### 1. Launch UTA-AV

Run the following command to start the agent:

uta-av

### 2. Interact with the Agent

The agent will prompt you to enter a task.
For example, type:

Install Docker on this machine

UTA-AV will generate and execute the necessary commands for you.

### 3. Confirm Command Execution

UTA-AV will display the generated command and ask for your confirmation before executing it.

## ❌ Uninstall UTA-AV
If you need to remove the agent, you can uninstall it easily:

### 1. Deactivate the virtual environment:

deactivate

### 2. Uninstall the package:

pip uninstall uta-av

## 🤝 Contributing

We welcome feedback and contributions to improve UTA-AV. Feel free to open issues or submit pull requests on our GitHub repository.

## 📧 Support
For any issues or suggestions, contact us at agentsvalley@gmail.com.

Thank you for using UTA-AV! Let's simplify terminal workflows together.


Note: If you're using a managed Python environment (like on Ubuntu Server), consider installing UTA-AV in a virtual environment. Refer to the Python Environment Setup section below for more details.
agent-amory-core 0.1.1
Seamlessly Integrating AI with the Web
Requires Python: >=3.11

<img src="https://i.imgur.com/yYazlwX.png" alt="Agent Amory Logo" width="full"/>



<br/>

[![Documentation](https://img.shields.io/badge/Documentation-📕-blue)](https://amory.dev/docs)
[![Twitter Follow](https://img.shields.io/twitter/follow/AgentAmory?style=social)](https://x.com/AgentAmory)

Seamlessly Integrating AI with the Web

We enable AI systems to interact with websites by pinpointing and isolating essential interactive elements for smooth navigation.

To learn more about the library, check out the [documentation 📕](https://amory.dev/docs/getting-started/installation).

# Quick start

With pip:

```bash
pip install agent_amory_core
```

(optional) install playwright:

```bash
playwright install
```

Spin up your agent:

```python
from langchain_openai import ChatOpenAI
from agent_amory_core import Agent
import asyncio

async def main():
    agent = Agent(
        task="Find a one-way flight from Bali to Oman on 12 January 2025 on Google Flights. Return me the cheapest option.",
        llm=ChatOpenAI(model="gpt-4o"),
    )
    result = await agent.run()
    print(result)

asyncio.run(main())
```

And don't forget to add your API keys to your `.env` file.

```bash
OPENAI_API_KEY=
```

For other settings, models, and more, check out the [documentation 📕](https://amory.dev/docs/core-concepts/configuration).

## Examples

For examples see the [examples](examples) folder

# Contributing

Contributions are welcome! Feel free to open issues for bugs or feature requests.

## Local Setup

To learn more about the library, check out the [local setup 📕](https://amory.dev/docs/advanced/api-reference).

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