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Eluna is a graph-guided, multi-agent framework for automating warehouse standard operating procedures, using asymmetric episodic distillation to fine-tune a smaller model that matches or exceeds larger baselines and achieves 94% expert agreement on ticket processing.
This paper presents a method for compiling repeated standard operating procedure steps into validated, versioned tools before deployment, replacing inference-time code generation. In a fulfillment center alarm-triage system, this approach reduces p50 latency by 42% and end-to-end error rate by up to 53%.
This paper introduces EvoSOP, a framework that enables LLM agents to synthesize atomic actions into reusable Standard Operating Procedures (SOPs) and iteratively optimize their toolset, significantly improving task success rates and reducing interaction rounds.