Как заставить OpenClaw тратить токены только по событию #openclaw #ai #агенты

The video discusses optimizing token usage in OpenClaw by implementing event-driven architecture instead of continuous polling. Rather than having AI agents perform regular checks asking 'has anything changed?', the system should trigger agent actions only when actual events occur. This approach significantly reduces unnecessary token consumption and improves efficiency of AI agent operations.

Key Points

• •Avoid continuous polling loops in AI agents - they waste tokens on repetitive 'has anything changed?' checks
• •Implement event-driven architecture where agents only execute when specific events are triggered
• •Event-based triggers reduce token consumption by eliminating unnecessary regular checks
• •Design workflows to respond to actual state changes rather than proactive monitoring
• •OpenClaw supports event-driven patterns for more efficient agent resource utilization
• •Token optimization is critical for cost-effective AI agent deployment at scale
• •Distinguish between scheduled tasks (which may be necessary) and wasteful polling patterns

Workflow Diagram

Concepts