Product Research and Sales Guide CrewAI Project

This project implements a CrewAI-based system with multiple AI agents working together to research products and create comprehensive sales guides.

Overview

The system consists of four specialized agents:

1. Searcher Agent: Finds relevant product information online using web search APIs
2. Scraper Agent: Extracts detailed information from websites using web scraping techniques
3. Analyst Agent: Analyzes data for inconsistencies, errors, and gaps
4. Writer Agent: Creates comprehensive and persuasive sales guides

Features

• Simple chat interface to input product names
• Support for both OpenAI and Ollama LLM providers
• Verbose mode to see detailed agent activities
• Robust error handling with retry mechanisms
• Automatic saving of generated sales guides

Requirements

• Python 3.8+
• Dependencies listed in requirements.txt

Installation

Automatic Installation (Recommended)

Choose one of the following setup scripts based on your operating system:

For all platforms (using Python):

python setup.py

For macOS/Linux (using Bash):

chmod +x setup.sh  # Make the script executable
./setup.sh

For Windows (using Batch):

setup.bat

Each script will:

1. Check if Python 3.8+ is installed
2. Create a virtual environment
3. Install all required dependencies
4. Provide instructions for activating the environment and running the project

Manual Installation

If you prefer to set up manually:

1. Clone this repository or download the files

2. Create and activate a virtual environment:

# Create a virtual environment
python -m venv venv

# Activate the virtual environment
# On Windows
venv\Scripts\activate
# On macOS/Linux
source venv/bin/activate

3. Install the required dependencies:

pip install -r requirements.txt

4. If using OpenAI, make sure you have an API key ready

5. To deactivate the virtual environment when finished:

# On Windows/macOS/Linux
deactivate

Usage

Run the script with:

python crew-1.py

Follow the prompts to:

1. Enter the product name to research
2. Select the LLM provider (OpenAI or Ollama)
3. Choose whether to enable verbose mode

The system will:

• Search for information about the product
• Scrape relevant websites for detailed data
• Analyze the data for inconsistencies
• Generate a comprehensive sales guide
• Save the guide to a text file

Error Handling

The system includes robust error handling:

• Retry mechanisms for network errors
• Timeout management for external operations
• Graceful degradation when complete information is unavailable
• Structured error reporting

Output

The final output is a comprehensive sales guide saved to a text file named after the product (e.g., iphone_14_sales_guide.txt).