Multi Turn Conversation: Definition and Examples

A multi turn conversation is an interaction mode with a language model where the exchange occurs over several successive messages, as opposed to a single query (single turn). The model retains the context of all previous messages to produce relevant and coherent responses throughout the conversation.

In this type of exchange, each new user message is interpreted in light of the conversational history. This allows gradually refining a request, asking follow-up questions, correcting the model, or delving deeper into a topic without having to repeat already provided information. The model treats all previous turns as a shared context.

Managing multi turn conversations relies on the model's context window, which defines the maximum amount of text (prompt + responses) that can be processed simultaneously. When the conversation exceeds this limit, the oldest messages may be truncated or summarized, which can lead to information loss. Mastering this dynamic is essential to get the most out of extended exchanges.

In prompt engineering, multi turn conversations are particularly useful for complex tasks requiring iterative reasoning: brainstorming, code debugging, collaborative writing, or in-depth analysis of a document. They allow guiding the model step by step toward a high-quality result.