context_management

You can reduce token usage in long-running agent sessions by enabling context management to monitor tokens in real-time and trigger automated smart handoffs when limits are reached, preserving critical information without bloat.

Context management for multi-turn agent conversations is the process of continuously monitoring token usage and executing structured handoffs to transfer state across sessions, ensuring critical context is preserved while preventing memory limits and cost overruns.

You can handle context limits and transfer state across agent sessions by using automated smart handoffs, which document the structured state transfer and trigger automatically when token warning thresholds are reached during the workflow.

Automated context optimization works with cost-sensitive multi-turn workflows by applying real-time token monitoring and selective summarization, actively reducing token consumption while preserving the critical context required for continuous operation.

You should trigger an automated context handoff in an agent workflow when real-time token monitoring detects that usage has crossed predefined warning thresholds, ensuring structured state transfer occurs before memory limits or cost overruns are hit.