Utility-Guided Agent Orchestration for Efficient LLM Tool Use

1. 1Formulate agent orchestration as a decision problem
2. 2Evaluate trade-offs between answer quality and execution cost
3. 3Implement utility-guided orchestration to optimize tool usage
4. 4Monitor and adjust the orchestration strategy to minimize latency and token consumption

AI engineers and researchers designing LLM systems benefit from this approach as it optimizes tool usage and improves overall efficiency

💡 Agent orchestration can be optimized using utility-guided decision-making to improve LLM tool efficiency

💡 Balance answer quality & execution cost with Utility-Guided Agent Orchestration for LLM tool use