set-effort

You can optimize token consumption for AI agent crews by adjusting the effort dial to control agent and model selection. Lowering the effort level switches to cost-effective agents, directly reducing overall token usage during budget-conscious operations.

The effort dial manages the crew token economy by adjusting effort levels to max, balance, or low. This controls agent and model selection, allowing you to fine-tune performance or prioritize cost-effective crew spawning.

Yes, you can reduce token costs on a tight budget by setting the effort level to low. This configures the crew to prioritize the most cost-effective agents and models, minimizing aggressive token consumption while maintaining operations.

To enable aggressive token consumption, you set the effort level to max. This configures the crew session to utilize higher-performance agents and models, prioritizing task execution speed and capability over cost optimization.

You should adjust the effort level for performance tuning when you need fine-grained control over crew token usage. Switch between max, balance, and low to match your budget constraints and desired performance output.

Using low effort for cost optimization limits crew sessions to lower-cost agents, which may reduce performance capabilities. It is designed for budget-conscious operations where token efficiency is prioritized over aggressive, high-cost task execution.