Initial Phase A intelligence core

syncpatch/uncertainty_model.py

@@ -0,0 +1,37 @@
+from __future__ import annotations
+
+from typing import Any
+
+
+
+def estimate_uncertainty(message: str, analysis: dict[str, Any], family_candidates: list[dict[str, Any]] | None = None) -> dict[str, Any]:
+    candidates = [str((item or {}).get('family') or '') for item in (family_candidates or []) if (item or {}).get('family')]
+    confidence = float(analysis.get('confidence', 0.0) or 0.0)
+    score = 0.0
+    reasons: list[str] = []
+    if len(set(candidates)) >= 2:
+        score += 0.35
+        reasons.append('multiple_family_candidates')
+    if confidence < 0.75:
+        score += 0.4
+        reasons.append('low_confidence')
+    elif confidence < 0.9:
+        score += 0.2
+        reasons.append('medium_confidence')
+    if analysis.get('needs_memory') and analysis.get('needs_setup_context'):
+        score += 0.15
+        reasons.append('mixed_memory_and_setup')
+    if 'http' in (message or '').lower() and analysis.get('task_type') not in {'summarize', 'research'}:
+        score += 0.1
+        reasons.append('url_in_non_research_query')
+    if analysis.get('composition_reason'):
+        score += 0.1
+        reasons.append('composed_path')
+
+    if score >= 0.65:
+        level = 'high'
+    elif score >= 0.3:
+        level = 'medium'
+    else:
+        level = 'low'
+    return {'level': level, 'score': round(score, 3), 'reasons': reasons}