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About this paper
Justice Owusu Agyemang, Jerry John Kponyo, Obed Kwasi Somuah, Elliot Amponsah, Godfred Manu Addo Boakye, Kwame Opuni-Boachie Obour Agyekum
Researchers at Sperix Labs and KNUST developed HiveMind, an OS-inspired HTTP reverse proxy designed to schedule and manage concurrent LLM agent workloads. The system reduces agent failure rates from up to 100% to 0-18% and cuts wasted token costs by 96-97% by applying established operating system resource management principles to LLM API interactions.
Key insights
- Uncoordinated concurrent LLM agent behavior mirrors classic resource contention problems in operating systems, highlighting a need for similar scheduling solutions.
- A transparent HTTP reverse proxy can effectively apply sophisticated OS scheduling and congestion control principles to LLM API traffic without altering agent code.
- Transparent retry mechanisms are critically important for agent survival, often proving more impactful than simple admission control in the context of current LLM API limitations and error profiles.
- Combining multiple OS-inspired primitives synergistically enhances the reliability and cost-effectiveness of multi-agent LLM systems.
Summary by alphaXiv.
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