AI-Powered Customer Support Router

This project is a foundational AI agent designed to automate the initial stage of a customer support process. It uses a Large Language Model (LLM) to classify incoming customer queries and route them to a specific handler for a tailored response.

Key Features

• LLM-Powered Classification: Intelligently categorizes customer queries into predefined categories like "Technical Support" or "Billing Inquiry."
• Conditional Routing: Directs the query to the correct processing node based on the classification.
• Automated Responses: Generates a category-specific response using the LLM.
• Orchestration: The entire workflow is managed by LangGraph.

Prerequisites

• Python 3.10+
• A Google Gemini API key.

Installation

1. Clone the repository:

   git clone <your-repository-url>
   cd <your-repository-name>

2. Create and activate a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On macOS/Linux
   venv\Scripts\activate     # On Windows

3. Install the dependencies:

   pip install -r requirements.txt

Setup

1. Obtain a Google Gemini API key from the Google AI Studio.
2. Create a file named .env in the project's root directory.
3. Add your API key to the .env file like this:

   GOOGLE_API_KEY="your_api_key_here"
   

How to Run

After following the setup steps, run the agent from your terminal:

python agent.py