ARTFEED — Contemporary Art Intelligence

Multi-Agent System for Hydrodynamic Simulations Using LLMs

ai-technology · 2026-05-06

A prototype of a multi-agent system (MAS) for hydrodynamics has been developed, replacing traditional single-agent LLM processes with specialized agents managed via a Layer Execution Graph (LEG). A planner agent creates execution topologies tailored to specific queries using natural-language routing heuristics, thus incorporating domain expertise without inflexible control mechanisms. Specialist agents function under defined tool allowlists and fulfill distinct data-class roles. Meanwhile, consolidator agents merge outputs from various layers, and a reporter agent compiles the final response. Additionally, runtime logs maintain provenance. This innovative method tackles problems related to context window reduction and the reliability of single-agent scientific workflows.

Key facts

  • Single-agent systems (SAS) are the default for LLM-driven scientific workflows but suffer from context shrinkage and reliability issues.
  • The multi-agent system (MAS) prototype is designed for hydrodynamics.
  • Specialized agents are coordinated through a Layer Execution Graph (LEG).
  • A planner agent constructs query-specific execution topologies from natural-language routing heuristics.
  • Specialist agents operate under strict tool allowlists and occupy complementary data-class roles.
  • Consolidator agents fuse parallel outputs into concise briefs between layers.
  • A reporter agent synthesizes the final response.
  • The runtime logs provenance.

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