A multi-turn conversation is an interaction where the model receives the full history of previous turns as part of its input, allowing it to resolve references, maintain topic coherence, and refine answers across successive exchanges. Managing multi-turn context is central to chatbot design because the conversation history consumes context window tokens and must be summarized or truncated as it grows.