Agent Marketplace

Agent Marketplace is a proof-of-concept application that facilitates interactions between user agents and service agents, leveraging AI for personalized recommendations. The system features an agent-driven architecture where agents autonomously communicate to provide movie suggestions based on user preferences and watch history.

Features

• User Agents: User-specific agents (e.g., EntertainmentAgent) manage user preferences and history.
• Service Agents: Agents for services like Netflix, Apple, and Hulu provide recommendations.
• Centralized Interaction: EntertainmentAgent communicates with multiple service agents to gather and filter movie recommendations.
• Local Movie Management: SQLite database with a web interface to view and add movies to the user agent's history.

Getting Started

Prerequisites

• Python 3.9+
• Flask for creating web endpoints.
• SQLite for storing movies.
• LangChain & OpenAI for leveraging LLMs.

Installation

1. Clone the repository:

   git clone https://github.com/your-username/agent-marketplace.git
   cd agent-marketplace

2. Set up a virtual environment and install dependencies:

   python3 -m venv venv
   source venv/bin/activate
   pip install -r requirements.txt

3. Set up environment variables:
   • Create a .env file with your OpenAI API key:

     OPENAI_API_KEY=your-openai-api-key
     

Running the Application

1. Initialize the SQLite Database:

   python init_db.py

2. Start the Flask Application:

   python app.py

3. Access the web interface to manage movies:
   • Open your browser and go to http://127.0.0.1:5001/movies.

Making Recommendations

• Use a tool like curl or Postman to make a recommendation request:

  curl -X POST http://127.0.0.1:5001/entertainment/recommend \
  -H "Content-Type: application/json" \
  -d '{
    "watched_titles": ["The Dark Knight"],
    "preferences": {"genres": ["Sci-Fi", "Adventure"]}
  }'

Project Structure

• app.py: Main Flask application with routes for managing movies and recommendations.
• agents/: Contains the agent classes (e.g., EntertainmentAgent, NetflixAgent).
• templates/: HTML files for the web interface.
• movies.db: SQLite database to store movie information.

License

This project is open-source and available under the MIT License.