Multi-Agent Article Research and Writing System

A system that uses multiple AI agents (Planner, Writer, and Editor) to collaboratively research and write articles on any given topic.

Features

• Multi-agent collaboration for content creation
• Interactive topic input through command line
• Environment-based configuration for API keys
• Comprehensive content planning, writing, and editing workflow

Prerequisites

• Python 3.8 or higher
• Mistral AI API key

Installation

1. Clone the repository:

git clone <https://github.com/Pranavharshans/CrewAI-MultiAgent.git>
cd CrewAI-MultiAgent

2. Create and activate a virtual environment:

python -m venv venv
source venv/bin/activate  

3. Install the required packages:

pip install -r requirements.txt

4. Create a .env file in the project root and add your Mistral AI API credentials:

OPENAI_API_KEY=your-mistral-api-key
OPENAI_API_BASE=https://api.mistral.ai/v1
OPENAI_MODEL_NAME=mistral-small

Usage

Run the article generation script:

multi-agents.py

When prompted, enter the topic you want to write about. The system will:

1. Plan the article structure and research approach
2. Write the initial content
3. Edit and refine the final article

The final article will be displayed in markdown format.

System Components

Agents

1. Content Planner

   • Plans article structure
   • Identifies target audience
   • Determines key points and SEO keywords

2. Content Writer

   • Crafts the initial article
   • Follows planner's outline
   • Incorporates SEO keywords
   • Maintains engaging structure

3. Editor

   • Reviews and refines content
   • Ensures journalistic best practices
   • Maintains balanced viewpoints
   • Polishes final output

## Configuration

The system uses environment variables for configuration. Required variables:
- `OPENAI_API_KEY`: Your Mistral AI API key
- `OPENAI_API_BASE`: Mistral AI API endpoint
- `OPENAI_MODEL_NAME`: Model to use (default: mistral-small)