ybeven/4D-ARE
Build LLM agents that explain why, not just what. Attribution-driven agent requirements engineering framework. Based on the 4D-ARE Paper - https://arxiv.org/abs/2601.04556
Implements a 4-dimensional causal reasoning framework (Results → Process → Support → Long-term) that constrains LLM agent outputs to trace explanations through interconnected factor categories rather than isolated metrics. Includes domain-specific templates (banking, healthcare, e-commerce) with configurable authority levels and safety boundaries, plus MCP integration for querying live data sources like MySQL and PostgreSQL during analysis.
181 stars.
Stars
181
Forks
19
Language
Python
License
MIT
Category
Last pushed
Jan 09, 2026
Commits (30d)
0
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