Updated costs

src/manager/budget_manager.py

@@ -46,7 +46,7 @@ class BudgetManager():
         ram_mem = mem.total/ 1024 ** 3
         print("No GPU detected. Using CPU.")
         print(f"Total RAM: {ram_mem:.2f} GB")
-        total_mem = gpu_mem + ram_mem/4
+        total_mem = gpu_mem + ram_mem
         return round((total_mem / 16) * 100)
 
     def get_total_resource_budget(self):

src/tools/default_tools/agent_cost_manager.py

@@ -17,18 +17,18 @@ class AgentCostManager():
     costs = {
         "llama3.2": {
             "description": "Avg Accuracy: 49.75%, Latency 0.9s, 63.4% on multi-task understanding, 40.8% on rewriting, 78.6% on reasoning.",
-            "create_resource_cost": 50,
-            "invoke_resource_cost": 30,
+            "create_resource_cost": 0,
+            "invoke_resource_cost": 40,
         },
         "mistral": {
             "description": "Avg Accuracy: 51.3%, Latency 9.7s, 51% on LegalBench, 60.1% on multi-task understanding, 69.9% on TriviaQA, 67.9% on reasoning",
-            "create_resource_cost": 75,
-            "invoke_resource_cost": 40,
+            "create_resource_cost": 0,
+            "invoke_resource_cost": 100,
         },
         "deepseek-r1": {
             "description": "Avg Accuracy: 77.3%, Latency: 120s, 69.9% on LegalBench, 71.1% on multi-task understanding, 92.2% on Math",
-            "create_resource_cost": 28,
-            "invoke_resource_cost": 35,
+            "create_resource_cost": 0,
+            "invoke_resource_cost": 150,
         },
         "gemini-2.5-flash-preview-05-20": {
             "description": "Avg Accuracy: 75.8%, 82.8% on LegalBench, 81.6% on multi-task understanding, 91.6% on Math",