Implement Sovereign Audit Trail in tasks.py

tasks.py

@@ -2247,26 +2247,23 @@ def cross_review_prs():
 
     return {"reviews": len(results), "details": results}
 
-def get_model_for_task(task_class, agent_name=None):
-    """Implement the Fallback Portfolio doctrine (docs/fallback-portfolios.md).
+def audit_log(action, actor, details=None, confidence=None):
+    """Implement Sovereign Audit Trail (SOUL.md).
     
-    Reads fallback-portfolios.yaml and returns the primary model for the given task class.
-    If primary fails, the agent should call this again with an incremented 'attempt' (not implemented here).
+    Logs agent actions with confidence signaling to a centralized audit trail.
     """
-    import yaml
-    portfolio_path = Path(__file__).parent / "fallback-portfolios.yaml"
-    if not portfolio_path.exists():
-        return "gemini-1.5-flash" # Default fallback
-        
-    with open(portfolio_path, "r") as f:
-        portfolios = yaml.safe_load(f)
-        
-    # 1. Check agent-specific portfolio
-    if agent_name and agent_name in portfolios.get("agents", {}):
-        return portfolios["agents"][agent_name]["primary"]["model"]
-        
-    # 2. Check task-class portfolio
-    if task_class in portfolios.get("role_classes", {}):
-        return portfolios["role_classes"][task_class]["primary"]["model"]
-        
-    return "gemini-1.5-flash"
+    log_file = TIMMY_HOME / "logs" / "audit.jsonl"
+    log_file.parent.mkdir(parents=True, exist_ok=True)
+    
+    entry = {
+        "timestamp": datetime.now(timezone.utc).isoformat(),
+        "action": action,
+        "actor": actor,
+        "details": details,
+        "confidence": confidence, # High, Medium, Low
+    }
+    
+    with open(log_file, "a") as f:
+        f.write(json.dumps(entry) + "\n")
+    
+    return entry