AI Agents Content Crew

Description

An AI-powered content generation pipeline using CrewAI, Groq LLMs, and SerperDevTool for internet search. Automates research, article writing, and proofreading tasks with agents designed for seamless collaboration and high-quality output.

Features

• Researcher Agent: Gathers and synthesizes information on the given topic.
• Writer Agent: Creates engaging and easy-to-read articles formatted in markdown.
• Proofreader Agent: Ensures clarity, structure, and credibility by finalizing articles and adding references.
• Dynamic Task Workflow: Sequential execution of tasks for efficient collaboration.
• Customizable Tools: Integrates internet search and real-time data retrieval for comprehensive insights.
• Output Files: Saves final articles as markdown files.

Technologies Used

• CrewAI: Framework for agent orchestration and task management.
• Groq LLM: Language model for natural language processing.
• SerperDevTool: Enables internet search capabilities.
• Python: Primary programming language.

Installation

1. Clone the Repository

   • git clone https://github.com/your-username/AI-Agents-Content-Crew.git
   • cd AI-Content-Workflow-Pipeline

2. Create and Activate a Virtual Environment

   • On Windows:
     • python -m venv venv
     • venv\Scripts\activate
   • On macOS/Linux:
     • python3 -m venv venv
     • source venv/bin/activate

3. Install Dependencies

   • pip install -r requirements.txt

4. Set Up Environment Variables

   • Create a .env file in the root directory and add the required API keys. Example:

     SERPER_API_KEY=your_api_key_here
     GROQ_API_KEY=your_groq_api_key_here
     

Usage

1. Configure Agents and Tasks

   • Modify the agents and tasks in agents.py and tasks.py to match specific requirements.

2. Set the Topic

   • You can define or change the topic for the tasks in crew.py. Update the topic variable as needed:

     # Define the topic for the tasks
     topic = "Artificial Intelligence Trends in 2025"

3. Run the Project

   • python crew.py

4. Interact with the Agents

   • Agents will perform tasks such as researching, writing, and proofreading based on the input topic.

5. View Results

   • The final content will be saved as newsletter.md in the project directory.

Troubleshooting

• Issue: Missing Dependencies
  • Solution: Ensure all dependencies are installed with pip install -r requirements.txt.
• Issue: API Key Errors
  • Solution: Verify the .env file contains valid keys for Serper and Groq.
• Issue: Task Execution Failure
  • Solution: Check configurations in agents.py and tasks.py. "# blogAgent"