remove useless fields

Author: yh 林

camel/agents/chat_agent.py

@@ -2923,9 +2923,6 @@ def _execute_tool(
         tool_call_id = tool_call_request.tool_call_id
         tool = self._internal_tools[func_name]
 
-        # Record start time for execution tracking
-        start_time = time.time()
-
         try:
             raw_result = tool(**args)
             if self.mask_tool_output:
@@ -2946,15 +2943,11 @@ def _execute_tool(
             mask_flag = False
             logger.warning(f"{error_msg} with result: {result}")
 
-        # Calculate execution time
-        execution_time_ms = int((time.time() - start_time) * 1000)
-
         return self._record_tool_calling(
             func_name,
             args,
             result,
             tool_call_id,
-            execution_time_ms,
             mask_output=mask_flag,
         )
 
@@ -2967,10 +2960,6 @@ async def _aexecute_tool(
         tool_call_id = tool_call_request.tool_call_id
         tool = self._internal_tools[func_name]
         import asyncio
-        import time
-
-        # Record start time for execution tracking
-        start_time = time.time()
 
         try:
             # Try different invocation paths in order of preference
@@ -3002,20 +2991,14 @@ async def _aexecute_tool(
             result = f"Tool execution failed: {error_msg}"
             logger.warning(error_msg)
 
-        # Calculate execution time
-        execution_time_ms = int((time.time() - start_time) * 1000)
-
-        return self._record_tool_calling(
-            func_name, args, result, tool_call_id, execution_time_ms
-        )
+        return self._record_tool_calling(func_name, args, result, tool_call_id)
 
     def _record_tool_calling(
         self,
         func_name: str,
         args: Dict[str, Any],
         result: Any,
         tool_call_id: str,
-        execution_time_ms: Optional[int] = None,
         mask_output: bool = False,
     ):
         r"""Record the tool calling information in the memory, and return the
@@ -3026,7 +3009,6 @@ def _record_tool_calling(
             args (Dict[str, Any]): The arguments passed to the tool.
             result (Any): The result returned by the tool execution.
             tool_call_id (str): A unique identifier for the tool call.
-            execution_time_ms (Optional[int]): Execution time in milliseconds.
             mask_output (bool, optional): Whether to return a sanitized
                 placeholder instead of the raw tool output.
                 (default: :obj:`False`)
@@ -3075,7 +3057,7 @@ def _record_tool_calling(
 
         # Calculate tool cost and token usage
         cost_info = self._tool_cost_calculator.estimate_tool_cost(
-            func_name, args, result, execution_time_ms
+            func_name, args, result
         )
 
         # Record information about this tool call with cost tracking

camel/utils/tool_cost_calculator.py

@@ -53,12 +53,6 @@ class ToolCostProfile:
 
     category: ToolCategory
     base_tokens: int  # Base token consumption
-    input_token_multiplier: float = 1.0  # Multiplier based on input size
-    output_token_multiplier: float = 1.0  # Multiplier based on output size
-    cost_per_token_usd: float = (
-        0.00001  # Cost per token in USD (default: $0.00001)
-    )
-    execution_overhead_ms: int = 0  # Additional execution time overhead
 
 
 class ToolCostInfo(TypedDict):
@@ -92,77 +86,41 @@ def _initialize_default_profiles(self) -> Dict[str, ToolCostProfile]:
             "search_google": ToolCostProfile(
                 category=ToolCategory.SEARCH_API,
                 base_tokens=50,
-                # input_token_multiplier=0.1,
-                # output_token_multiplier=0.2,
-                # cost_per_token_usd=0.000005,
-                # execution_overhead_ms=500,
             ),
             "search_bing": ToolCostProfile(
                 category=ToolCategory.SEARCH_API,
                 base_tokens=50,
-                # input_token_multiplier=0.1,
-                # output_token_multiplier=0.2,
-                # cost_per_token_usd=0.000005,
-                # execution_overhead_ms=500,
             ),
             "search_exa": ToolCostProfile(
                 category=ToolCategory.SEARCH_API,
                 base_tokens=50,
-                # input_token_multiplier=0.1,
-                # output_token_multiplier=0.2,
-                # cost_per_token_usd=0.000005,
-                # execution_overhead_ms=500,
             ),
             # Browser tools - high cost
             "browser_visit_page": ToolCostProfile(
                 category=ToolCategory.BROWSER_AUTOMATION,
                 base_tokens=200,
-                # input_token_multiplier=0.05,
-                # output_token_multiplier=0.1,
-                # cost_per_token_usd=0.00002,
-                # execution_overhead_ms=2000,
             ),
             "browser_get_som_screenshot": ToolCostProfile(
                 category=ToolCategory.BROWSER_AUTOMATION,
                 base_tokens=500,
-                # input_token_multiplier=0.0,
-                # output_token_multiplier=0.0,
-                # cost_per_token_usd=0.00005,
-                # execution_overhead_ms=3000,
             ),
             "browser_click": ToolCostProfile(
                 category=ToolCategory.BROWSER_AUTOMATION,
                 base_tokens=100,
-                # input_token_multiplier=0.05,
-                # output_token_multiplier=0.05,
-                # cost_per_token_usd=0.00002,
-                # execution_overhead_ms=1000,
             ),
             "browser_type": ToolCostProfile(
                 category=ToolCategory.BROWSER_AUTOMATION,
                 base_tokens=100,
-                # input_token_multiplier=0.1,
-                # output_token_multiplier=0.05,
-                # cost_per_token_usd=0.00002,
-                # execution_overhead_ms=1000,
             ),
             # Terminal tools - medium cost
             "shell_exec": ToolCostProfile(
                 category=ToolCategory.CODE_EXECUTION,
                 base_tokens=100,
-                # input_token_multiplier=0.2,
-                # output_token_multiplier=0.3,
-                # cost_per_token_usd=0.00001,
-                # execution_overhead_ms=1000,
             ),
             # Note-taking tools - low cost
             "create_note": ToolCostProfile(
                 category=ToolCategory.SIMPLE_UTILITY,
                 base_tokens=50,
-                # input_token_multiplier=0.1,
-                # output_token_multiplier=0.0,
-                # cost_per_token_usd=0.000005,
-                # execution_overhead_ms=100,
             ),
         }
 
@@ -171,15 +129,13 @@ def estimate_tool_cost(
         tool_name: str,
         args: Dict[str, Any],
         result: Any,
-        execution_time_ms: Optional[int] = None,
     ) -> ToolCostInfo:
         """Estimate the token usage and cost for a tool call.
 
         Args:
             tool_name: Name of the tool being called.
             args: Arguments passed to the tool.
             result: Result returned by the tool.
-            execution_time_ms: Actual execution time in milliseconds.
 
         Returns:
             Dictionary containing token usage and cost estimates.
@@ -190,10 +146,6 @@ def estimate_tool_cost(
             profile = ToolCostProfile(
                 category=ToolCategory.SIMPLE_UTILITY,
                 base_tokens=100,
-                # input_token_multiplier=0.1,
-                # output_token_multiplier=0.1,
-                # cost_per_token_usd=0.00001,
-                # execution_overhead_ms=500,
             )
 
         # Calculate input tokens