@nik_kale Exactly... retry logic as a cost multiplier is the trap.
I’ve been treating spend caps as the backstop and thrash/health as the early brake (cool the loop while it’s still sick, not only after the budget’s gone).
Glad it landed. Appreciate you reading.
Three ways agent fleets die under load:
1) Tool flakes → retry loop → token hemorrhage
2) 429 → queue → herd → 429 again
3) User hits refresh → more agents → overload
Same family of pain: thrash. Not “need a smarter model.”
Not another graph framework.
Health under the storm (re-runnable):
• Fleets +0.22 success
• Queues +0.23 success
• API 429 +0.24 goodput
Eye of the Storm... Clarity Amongst Chaos.
Nothing is "unbreakable." But your system can't break this.
Free proofs: https://t.co/grSvmymgG5
Sample thrash harness: https://t.co/IGc3V6Dpfe
@tianpan_co read your retry-storm piece end to end.
Cleanest framing I’ve seen, agent retries aren’t cheap HTTP retries... each one re-pays full context, and the model owns “try again,” so classic circuit breakers only half-map.
Been in the same ditch on the health side (fleet / queue / 429 thrash), not another graph framework. Open-sourced a small thrash harness if useful anytime:
https://t.co/IGc3V6Dpfe
I'm very curious how you wire Layer-2 dollar budgets when the LLM still “finds another tool.” That's a tough one.
@elonmusk I'll admit... its pretty damn great. I'll also admit that I have a patch for the thrash you guys got the other day. I'm more than happy to provide you a free trial so you can see the results.
https://t.co/nTmsNSgegC
@SpaceXAI Yeah — the thrash/retry spiral is the part that turns a bad moment into a pileup.
We’ve been measuring that slice with free re-runnable demos (fleet thrash +0.22). Happy for anyone to poke holes:
https://t.co/y6ptHgUAGs
@SpaceXAI I posted a solution to your thrashing problems but nobody’s even looked. Instead you’re throttling our builders access to the very data we build off of? Cmon man.
Wisdom Compression
• not a GCS upload blocker
• MIT, no storefront, no strings
If it’s useful as a reference harness for long Build sessions under state storms, the code is public.
@xAI@grok@elonmusk
Free MIT package for Grok Build purge last night.
Repo + demo:
https://t.co/nTmsNSgegC
Eye of the Storm survives multi-GB thrash + purge (I=14–18) while naive agents crash and lose state.
Clean offline repro. No strings.
— Blake
Demo output (local):
NAIVE → crashed, essentials gone, late stab ~0.05
EYE OF THE STORM → purge_survived, essentials + wisdom intact, late stab ~0.95, recover ~5 steps
Same multi-GB storm. Same purge. Different survival.
Useful thread. Built a free MIT offline repro of the *session thrash* side of this class of failure: multi-GB state pressure + mid-flight purge → naive loops die / lose essentials; Eye of the Storm cools thrash, compresses wisdom, recovers (I=14–18 synthetic).
Not a claim we block network uploads — privacy pins stay in harness config. This is long-session survival under bulk thrash + channel cut.
Repo + one command:
https://t.co/IGc3V6Dpfe
python scripts/demo_purge_simulation.py
@xAI@grok@elonmusk
Free MIT package for Grok Build purge last night.
Repo + demo:
https://t.co/nTmsNSgegC
Eye of the Storm survives multi-GB thrash + purge (I=14–18) while naive agents crash.
Clean offline repro. No strings.
— Blake