MADR
A multi-agent LLM framework for diagnostic, multi-objective calibration of complex simulation models. Pluggable model and LLM layers. Demonstrated on distributed hydrology, designed to generalize.
MADR is an LLM-driven framework that calibrates distributed hydrological models in nested-basin systems. A Leader Agent synthesizes cross-station simulation errors into structured per-basin guidance; Worker Agents translate that guidance into concrete parameter sets. The framework is implemented in LangGraph and treats both the hydrological model and the LLM API as pluggable components. Four hydrological-model combinations and several tested LLM adapters — usable over both API and local CLI — are included.
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curl -X POST / -H 'content-type: application/json' -d '{ ... }' Capabilities
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