IT Services Circle
IT Services Circle
Apr 10, 2026 · Artificial Intelligence

Designing Robust Multi‑Turn Conversational Agents: Key Strategies and Pitfalls

Building a multi‑turn dialogue agent requires coordinated solutions for history management, layered memory, state tracking, context‑window optimization, tool‑call orchestration, and meta‑control, each addressing token limits, information relevance, and robustness, with practical strategies such as sliding windows, summarization, selective retention, and multi‑agent collaboration.

LLMconversation agentmemory architecture
0 likes · 19 min read
Designing Robust Multi‑Turn Conversational Agents: Key Strategies and Pitfalls