NB-076
6b3f526b80
Refactor _resolve_matching_subtype to use an LLM agent for ambiguous cases instead of pure static rules: Architecture (3 layers): 1. Static deterministic rules: M:N→MxN, 1:N (WS-MAST/TRAN-KEY), 二段階, 混合 — high confidence, no LLM needed 2. LLM agent: ambiguous cases (N:1 vs 1:1, M:N→M vs M:N→N) - _MATCHING_SUBTYPE_AGENT_PROMPT with 5 subtypes - Calls existing hina.hina_agent._parse_llm_response for parsing - Minimum confidence threshold 0.4 to gate low-quality LLM output 3. Fallback: conservative defaults (M:N or 1:1) when LLM unavailable This follows the original architecture design: agent handles the hard classification problems that static analysis alone can't resolve. Regression: 745 passed (unchanged).