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More or less. Serious? Im not sure yet.

I have several agent side projects going, the most complex and open ended is an agent that performs periodic network traffic analysis. I use an orchestration library with a "group chat" style orchestration. I declare several agents that have instructions and access to tools.

These range from termshark scripts for collecting packets and analysis functions I had previously for performing analysis on the traffic myself.

I can then say something like, "Is there any suspicious activity?" and the agents collaboratively choose who(which agent) performs their role and therefore their tasks (i.e. Tools) and work together to collect data, analyze the data, and return a response.

I also run this on a schedule where the agents know about the schedule and choose to send me an email summary at specific times.

I have noticed that the models/agents are very good at picking the "correct" network interface without much input. That they understand their roles and objectives and execute accordingly, again without much direction from me.

Now the big/serious question. Is the output even good or useful. Right now with my toy project it is OK. Sometimes it's great and sometimes it's not, sometimes they spam my inbox with micro updates.

Im bad at sharing projects, but if you are curious, https://github.com/derekburgess/jaws



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