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+# Chatbot with Chat history stored in Database
+
+This project is a simple chatbot application built using Python, integrating a database for chat history storage and a language model service to generate responses. The chatbot can handle user messages, manage chat history, and terminate conversations upon receiving a `/stop` command.
+
+## Features
+- **Conversation Handling**: The bot processes user inputs and generates responses using a language model service.
+- **Database Integration**: Stores chat data (user messages and bot responses) and maintains chat history.
+- **Session Management**: Supports starting and terminating chat sessions, including proper logging of start and end times.
+- **Message Truncation**: Limits conversation history to the last few messages if the conversation exceeds a large number of entries.
+
+## Components
+- **`Chatbot` Class**: Core logic for handling user messages and managing the chat lifecycle.
+- **`Database` (Mocked in tests)**: Handles chat data storage (methods for inserting and retrieving data).
+- **`LLM Service` (Mocked in tests)**: Generates responses to user input based on conversation history.
+
+## Installation
+1. Clone the repository:
+2. Install the necessary dependencies
+   ```bash
+   pip3 install requirements.txt
+   ```
+4. Run the bot or test it using `doctest`:
+    ```bash
+    python3 -m doctest -v chatbot.py
+    ```
+
+## Usage
+1. **Create Database**: Create a databse named `ChatDB` in Mysql
+2. **Create .env**:
+```
+  # Together API key
+  TOGETHER_API_KEY="YOUR_API_KEY"
+  
+  # Groq API key
+  GROQ_API_KEY = "YOUR_API_KEY"
+  
+  # MySQL connectionDB (if you're running locally)
+  DB_USER = "<DB_USER_NAME>"
+  DB_PASSWORD = "<DB_USER_NAME>"
+  DB_HOST = "127.0.0.1"
+  DB_NAME = "ChatDB"
+  PORT = "3306"
+ ```
+7. **Handling Messages**: run below command to start the chat in console, you can login to your Database to check the chat history
+```python
+python3 main.py
+```
+10. **Ending the Chat**: When the user sends `/stop`, the chat will terminate and log the end of the conversation with the message 'conversation-terminated'
+
+## Testing
+The code includes basic `doctests` to verify the chatbot's functionality using mock services for the database and language model:
+- Run the tests:
+    ```bash
+    python3 -m doctest -v chatbot.py
+    ```