Solving context overflow: How OpenSearch agents stay smart in long conversations

OpenSearch 3.5 introduces a new context management system for OpenSearch Agents designed to prevent context window overflow and performance degradation during long AI conversations. Using a flexible, hook-based architecture, the system allows users to implement customizable strategies—such as sliding windows, summarization, and tool output truncation—to optimize token usage and maintain conversation coherence.