Multi agent observability for Claude code using...
Multi agent observability frameworks using cloud code is something that's really powerful, but I don't see a lot of other people talking about multi agent observability framework is essentially just a system that allows you to monitor multiple agents working together. So you can see the actions that they're taking and the information that they're passing between each other. The most interesting way I've seen this used with cloud code to observe multiple agents working together is by using cloud code hooks to basically wait for all of your agents to make tool calls or make certain actions. Once the hook is triggered by cloud codes tool use, it will trigger a script to update your user interface in a custom dashboard that you've made for yourself, or you can monitor all of the current actions of all of your agents. I've been using this method to test out a concept that I've been reading about recently, which says that if you use multiple LLMs to respond to the same prompt or problem, they'll all come up with slightly different solutions. But then if you have one orchestrating LLM, take all of those separate solutions and synthesize them together into one consensus solution that will result in a much better solution than just one LLM by itself. We want to learn more about building agents join my school community Lincoln bio
Summary
The video discusses multi agent observability frameworks using cloud code hooks to monitor AI agents. It highlights the benefits of using multiple LLMs for diverse solutions and synthesizing them for better results.
Key Points
- Multi agent observability frameworks monitor multiple agents' actions.
- Cloud code hooks can trigger updates in a custom dashboard.
- Using multiple LLMs can yield diverse solutions to the same problem.
- An orchestrating LLM can synthesize solutions for improved outcomes.
- This approach enhances collaboration among AI agents.
Tags
Repurpose Ideas
- LinkedIn post: Benefits of multi agent observability frameworks
- Tweet: How to use cloud code hooks for AI monitoring
- Checklist: Steps to implement LLM orchestration in projects
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