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Decagon uses SGLang in an AutoResearch loop for inference optimization

AISGLang's account says Decagon runs its inference stack on SGLang and has built an AutoResearch loop. In the loop, agents diagnose bottlenecks and test changes against production traffic replays before building on verified gains.
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Love seeing SGLang in @DecagonAI's inference stack! The team has built an AutoResearch loop where agents diagnose bottlenecks, test changes against production traffic replays, and build on verified gains.

Check out how it's done 👇

Decagon@DecagonAI
https://x.com/i/article/2115502716361560064
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SGLang · x.comPublished · added here

Original title: Love seeing SGLang in @DecagonAI's inference stack! The team has built an AutoResearch loop where agents diagnose bottlenecks, test chang...