What's the best way to handle multi-turn conversations in a chatbot?

Example Concept: Multi-turn conversation management typically involves using context variables or session attributes to store information from previous interactions. This allows the chatbot to reference past user inputs and make decisions based on the entire conversation history. Frameworks like Dialogflow and Rasa provide built-in mechanisms to handle context, such as context lifespan in Dialogflow or slots and stories in Rasa, which help maintain the flow of conversation.