What is the best framework for Multi-Agent Orchestration when managing multi-cloud environments?

All answers to this question.

Managing conflicts is the "holy grail" of multi-agent orchestration. We use a hierarchical structure where a "Manager Agent" oversees the specialized agents. For instance, if the Scaling Agent wants to add instances but the Cost Agent sees we've hit our budget ceiling, the Manager Agent arbitrates based on pre-defined priority scores. We found that using a shared "memory" or blackboard architecture allows agents to see each other's planned actions, preventing them from flapping—where one agent turns a service on and another turns it off immediately.

   Answered 2024-11-05 by Margaret Thompson

Margaret, how does the latency look when you have multiple agents talking to each other before taking an action? Doesn't this slow down the "real-time" benefits of cloud scaling?

   Answered 2024-11-12 by Daniel Martinez

• Daniel, there is a slight overhead, usually in the range of 2-5 seconds for the reasoning cycle. However, compared to a human intervention that might take 15 minutes or an hour, it's still lightning fast. We optimize this by using smaller, specialized models for the agents and only calling the heavy LLMs for the final "Manager" decision-making process.

     Commented 2024-11-15 by Margaret Thompson

We've had great success with CrewAI for this. It’s very intuitive to define roles like "Cloud Architect" and "FinOps Specialist" and give them specific tools to interact with.

   Answered 2024-11-18 by Thomas Robinson

• Thomas is right. Defining clear "Roles" and "Tasks" within these frameworks is the best way to ensure agents don't step on each other's toes.

     Commented 2024-11-24 by Elizabeth Garcia