Research
Agent Capsules: Quality-Gated Granularity Control for Multi-Agent LLM Pipelines
An adaptive execution runtime that treats multi-agent pipeline execution as an optimization problem with empirical quality constraints. Addresses how merging agents into fewer compound calls promises token savings but silently degrades quality through tool loss and prompt compression. The runtime instruments coordination overhead per group, scores composition opportunity, selects among three compound execution strategies, and gates every mode switch on rolling-mean output quality.
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