Chatbot with Azure OpenAI and Microsoft's AutoGen

Screenshots

Here are some screenshots of the chatbot in action:

Example Conversation (SelectorGroupChat)

Example Conversation (RoundRobinGroupChat)

This project is a chatbot implementation using Microsoft's AutoGen framework and Azure OpenAI services. The chatbot is designed to handle various tasks, including retrieving product information, policy details, claim details, and more.

Features

• Product Information: Retrieve information about product.
• Policy Details: Fetch details about user policies based on policy numbers.
• Claim Details: Get information about claims using claim IDs.
• Document Retrieval: Retrieve policy and invoice documents.
• Asynchronous Operations: Handle tasks asynchronously for better performance.
• Memory Management: Utilize memory stores to keep track of user preferences and context.
• Multi-Agent System: Use different strategies for agent collaboration (RoundRobin and Selector).

Installation

1. Clone the repository:

   git clone https://github.com/iamchandanys/chatbot-az-autogen.git
   cd chatbot-az-autogen

2. Create a virtual environment:

   python -m venv .venv

3. Activate the virtual environment:

   • On Windows:

     .venv\Scripts\activate

   • On macOS/Linux:

     source .venv/bin/activate

4. Install the dependencies:

   pip install -r requirements.txt

5. Set up environment variables: Create a .env file in the root directory and add your Azure OpenAI credentials:

   api_key=your_api_key
   deployment_name=your_deployment_name
   model_name=your_model_name
   api_version=your_api_version
   azure_endpoint=your_azure_endpoint
   api_to_upload_files=api_to_upload_files

Usage

Running the Chatbot

There are two entry points for running the chatbot, each using a different strategy for agent collaboration:

1. RoundRobinGroupChat: This strategy involves agents taking turns in a round-robin fashion.

   python 03_x_agent.py

2. SelectorGroupChat: This strategy involves selecting the most appropriate agent for each task.

   python 03_x_agent_v2.py

Interacting with the Chatbot

• The chatbot will prompt you for input.
• Type your queries and get responses from the chatbot.

Project Structure

• x_agent.py: Entry point for the chatbot using RoundRobinGroupChat.
• x_agent_v2.py: Entry point for the chatbot using SelectorGroupChat.
• home.py Flask application to serve the chat interface and handle real-time communication with the chatbot.
• system_prompts.py: Contains system messages for different agents.
• system_tools.py: Defines the tools used by the agents to perform various tasks.
• README.md: This file, providing an overview of the project.
• .env: Environment variables for Azure OpenAI credentials (not included in the repository).