agentec 0.1.0

Generate Markdown-based agent tasks from NLP prompts with optional OpenAI enhancement.

Agentec

Generate Markdown-based agent tasks from NLP prompts with optional OpenAI enhancement.

Installation

pip install agentec

Usage

Basic Usage

agentec "Summarize product reviews"

With OpenAI Enhancement

Set your OpenAI API key for enhanced task descriptions:

export OPENAI_API_KEY="your-api-key-here"
agentec "Create a data analysis pipeline"

Or add it to a .env file in your current directory:

OPENAI_API_KEY=your-api-key-here

Features

• Generate structured task files from natural language prompts
• Optional OpenAI integration for enhanced, detailed task descriptions
• Saves tasks in Markdown format in your current directory under tasks/
• Cross-platform compatibility - works on Windows, macOS, and Linux
• Simple CLI interface - just provide your prompt and go

Example Output

Basic Task (without OpenAI)

# Task: summarize_product_reviews

## Prompt
Summarize product reviews

Enhanced Task (with OpenAI)

# Task: summarize_product_reviews

## Prompt
Summarize product reviews

## Enhanced Task Description
### Overview
This task involves analyzing and summarizing product reviews to extract key insights...

### Objectives
- Extract key themes from customer feedback
- Identify common complaints and praise
- Provide actionable insights for product improvement

### Steps/Requirements
1. Collect product reviews from various sources
2. Clean and preprocess the review data
3. Apply sentiment analysis
...

Requirements

• Python 3.7+
• Optional: OpenAI API key for enhanced task generation

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.

Author

Ahmed Hanoon - [e-mail]