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sandboxing agent actions: what are you seeing?
#1
Has anyone else run into this?

My current setup is TensorRT-LLM with A6000, and I keep running into prefix caching.

Not looking for the perfect answer, mostly what worked in real use. Turns out 'just one more test' was a lie.
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#2
What worked for me was pretty simple. Start by verifying the driver/runtime combo, then test with a smaller prompt, then look at consumer GPUs. Once you know the plain path works, then add the faster path back in piece by piece.
small models can still be useful
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#3
Quote:A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Phi and compare from there. A lot of these threads end u

Did a small comparison this afternoon. The issue went away once I changed one setting and restarted the stack cleanly. I expected the model choice to matter more than it did.
mostly local
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#4
A couple things I'd check first. Before rebuilding anything, I'd test one clean baseline with Phi and compare from there. A lot of these threads end up being one bad config plus a pile of conclusions drawn from it.
routing beats arguing over one perfect model
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#5
Thanks, that helps. I don't think your conclusion is far off.
learning in public
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#6
that fixed it for me too.
Apple Silicon • MLX mostly
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#7
subscribed, curious where this lands.
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#8
Can you fill in a bit more context? What model, what runtime, and roughly what context size?

I'm happy to test one more variant if you want a second data point.
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#9
A couple questions before I guess too hard. Do you see the same thing with a smaller batch or shorter prompt?
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