I don’t get it. Client generates UUID for prompt, PUTs the prompt with this UUID on server. Server caches the generated output for reasonable time, so that subsequent PUTs get 200 instead of 201. Transport protocol failures then do not matter. If response isn’t 4x, just retry.

Neat idea!

Love how you experimented, you are a creative thinker.

I agreed with much of this, but I started looking into the enterprise ai systems that large companies are making, and they use agent control via software.

So I tried it. It's much better.

Software is just better at handling discrete tasks that you understand, like mapping agent pathing. There's no point giving that to an AI to do.

The Cordinator "Main Agent" should just call the software to manage the agents.

It works really well in comparison.

You can have the software call claude code via command line, sending the prompt in. You have it create full detail logs of what it's doing, and done, and created.

Maybe I'll change my mind, everything is moving so fast, and we're all in the dark searching around for ideas, but so far it's been working pretty well.

You do lose in the middle visibility to stop it.

I also have it evaluating the outputs to determine how well the agents followed their instructions. That seems key to understanding if more context adds value when comparing agents.

These subagents look like tools

"The “Smart Agent” Trap: I tried making agents that could “figure out” what to do. They couldn’t. Be explicit."

So what about this solution is actually agentic?

Overall, it sounds like you sat down and did a proper business process analysis and automated it.

Your subagents for sure have no autonomy and are just execution steps in a classic workflow except you happen to be calling an LLM.

Does the orchestrating agent adapt the process between invocations depending on the data and does it do so in any way more complex than a simple if then branch?

It seems very doubtful to me that every query would be literally the same (e.g. same hash), if these are plain text descriptions of the subset task.

Sure, but to clarify, so you are probably setting temperature to close to 0 in order to try to get as consistent output as possible based on the input? Have you made any changes to top k and/or top p that you have found makes agents output more consistent/deterministic?