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  5. Multi-Turn
Agents & Tool Useaka multi-turn conversation

Multi-Turn

An interaction that spans multiple back-and-forth exchanges between user and model or between agents, where each turn can reference prior context.

Ask Melo about this← all terms

A multi-turn interaction consists of multiple sequential exchanges — user messages and model responses, or inter-agent messages — where each turn builds on the accumulated context of previous turns. Multi-turn is the default mode for conversational agents and chat interfaces, and it introduces challenges around context window management, topic drift, and coherence over long conversations. Effective multi-turn systems maintain a coherent understanding of the user's evolving intent across many exchanges.

Related terms

Context WindowSessionAgent MemorySoul.mdModel Context ProtocolCopilot Credits

Where Multi-Turn comes up

  • Agentic context design: how to engineer the context window for multi-turn AI systems in 2026
  • Agent Seer: Apple's Method for Turning Your MCP Spec Into an Eval Suite
  • Prompt Caching: Decision Framework for LLM Cost, Latency, and Security (2026)
  • How to Actually Work With AI Agents: A Practical Communication Guide