v0.3: config with auto-tune and profile path

aria_llm/config.py

@@ -1,12 +1,10 @@
 """
-ARIA Configuration v0.2
+ARIA Configuration v0.3
 ========================
 
-All thresholds and hyperparameters. v0.2 adds:
-- calibration_steps: how long to observe before triggering (default 20)
-- sensitivity_k: how many standard deviations above baseline = triggered (default 2.5)
-- max_corrections_per_step: budget (default 1 — only strongest signal corrects)
-- correction_scale: global multiplier on all correction strengths (default 0.1)
+All thresholds and hyperparameters. v0.3 adds:
+- auto_tune_correction_scale: automatically set correction_scale from calibration variance
+- calibration_profile_path: load a pre-saved calibration profile (skip calibration phase)
 """
 
 from dataclasses import dataclass, field
@@ -17,14 +15,22 @@ from typing import Optional, List, Dict
 class ARIAConfig:
     """Configuration for the ARIA reliability attachment.
     
-    v0.2: Calibration-first, budget-limited, statistically-grounded.
+    v0.3: Auto-tuning + calibration profiles.
     """
     
-    # === CALIBRATION (NEW in v0.2) ===
+    # === CALIBRATION ===
     calibration_steps: int = 20
     sensitivity_k: float = 2.5
     
-    # === CORRECTION BUDGET (NEW in v0.2) ===
+    # === AUTO-TUNE (NEW in v0.3) ===
+    auto_tune_correction_scale: bool = True  # auto-set correction_scale after calibration
+    auto_tune_min_scale: float = 0.02       # floor for auto-tuned scale
+    auto_tune_max_scale: float = 0.3        # ceiling for auto-tuned scale
+    
+    # === CALIBRATION PROFILES (NEW in v0.3) ===
+    calibration_profile_path: Optional[str] = None  # load pre-saved profile
+    
+    # === CORRECTION BUDGET ===
     max_corrections_per_step: int = 1
     correction_scale: float = 0.1