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Implement max usage count tracking for tools in agent executors
- Added functionality to check if a tool has reached its maximum usage count before execution in both crew_agent_executor.py and agent_executor.py. - Enhanced error handling to return a message when a tool's usage limit is reached. - Updated tool usage logic in tool_usage.py to increment usage counts and print current usage status. - Introduced tests to validate max usage count behavior for native tool calling, ensuring proper enforcement and tracking. This update improves tool management by preventing overuse and providing clear feedback when limits are reached.
This commit is contained in:
@@ -645,6 +645,16 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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original_tool = tool
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break
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# Check if tool has reached max usage count
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max_usage_reached = False
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if original_tool:
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if (
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hasattr(original_tool, "max_usage_count")
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and original_tool.max_usage_count is not None
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and original_tool.current_usage_count >= original_tool.max_usage_count
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):
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max_usage_reached = True
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# Check cache before executing
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from_cache = False
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input_str = json.dumps(args_dict) if args_dict else ""
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@@ -675,8 +685,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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track_delegation_if_needed(func_name, args_dict, self.task)
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# Execute the tool (only if not cached)
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if not from_cache:
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# Execute the tool (only if not cached and not at max usage)
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if not from_cache and not max_usage_reached:
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result = "Tool not found"
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if func_name in available_functions:
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try:
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@@ -720,6 +730,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
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error=e,
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),
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)
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elif max_usage_reached:
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# Return error message when max usage limit is reached
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result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore."
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# Emit tool usage finished event
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crewai_event_bus.emit(
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@@ -611,6 +611,17 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
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original_tool = tool
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break
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# Check if tool has reached max usage count
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max_usage_reached = False
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if original_tool:
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if (
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hasattr(original_tool, "max_usage_count")
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and original_tool.max_usage_count is not None
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and original_tool.current_usage_count
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>= original_tool.max_usage_count
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):
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max_usage_reached = True
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# Check cache before executing
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from_cache = False
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input_str = json.dumps(args_dict) if args_dict else ""
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@@ -641,8 +652,8 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
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track_delegation_if_needed(func_name, args_dict, self.task)
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# Execute the tool (only if not cached)
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if not from_cache:
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# Execute the tool (only if not cached and not at max usage)
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if not from_cache and not max_usage_reached:
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result = "Tool not found"
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if func_name in self._available_functions:
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try:
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@@ -687,6 +698,9 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
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error=e,
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),
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)
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elif max_usage_reached:
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# Return error message when max usage limit is reached
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result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore."
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# Emit tool usage finished event
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crewai_event_bus.emit(
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@@ -371,6 +371,19 @@ class ToolUsage:
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self.agent.tools_results.append(data)
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if available_tool and hasattr(
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available_tool, "_increment_usage_count"
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):
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# Use _increment_usage_count to sync count to original tool
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available_tool._increment_usage_count()
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if (
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hasattr(available_tool, "max_usage_count")
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and available_tool.max_usage_count is not None
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):
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self._printer.print(
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content=f"Tool '{available_tool.name}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
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color="blue",
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)
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elif available_tool and hasattr(
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available_tool, "current_usage_count"
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):
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available_tool.current_usage_count += 1
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@@ -577,6 +590,19 @@ class ToolUsage:
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self.agent.tools_results.append(data)
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if available_tool and hasattr(
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available_tool, "_increment_usage_count"
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):
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# Use _increment_usage_count to sync count to original tool
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available_tool._increment_usage_count()
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if (
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hasattr(available_tool, "max_usage_count")
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and available_tool.max_usage_count is not None
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):
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self._printer.print(
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content=f"Tool '{available_tool.name}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
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color="blue",
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)
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elif available_tool and hasattr(
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available_tool, "current_usage_count"
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):
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available_tool.current_usage_count += 1
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@@ -536,3 +536,100 @@ def test_native_tool_calling_error_handling(failing_tool: FailingTool):
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assert error_event.tool_name == "failing_tool"
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assert error_event.agent_role == agent.role
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assert "This tool always fails" in str(error_event.error)
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# =============================================================================
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# Max Usage Count Tests for Native Tool Calling
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# =============================================================================
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class CountingInput(BaseModel):
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"""Input schema for counting tool."""
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value: str = Field(description="Value to count")
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class CountingTool(BaseTool):
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"""A tool that counts its usage."""
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name: str = "counting_tool"
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description: str = "A tool that counts how many times it's been called"
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args_schema: type[BaseModel] = CountingInput
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def _run(self, value: str) -> str:
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"""Return the value with a count prefix."""
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return f"Counted: {value}"
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class TestMaxUsageCountWithNativeToolCalling:
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"""Tests for max_usage_count with native tool calling."""
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@pytest.mark.vcr()
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def test_max_usage_count_tracked_in_native_tool_calling(self) -> None:
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"""Test that max_usage_count is properly tracked when using native tool calling."""
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tool = CountingTool(max_usage_count=3)
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# Verify initial state
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assert tool.max_usage_count == 3
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assert tool.current_usage_count == 0
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agent = Agent(
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role="Counting Agent",
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goal="Call the counting tool multiple times",
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backstory="You are an agent that counts things.",
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tools=[tool],
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llm=LLM(model="gpt-4o-mini"),
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verbose=False,
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max_iter=5,
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)
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task = Task(
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description="Call the counting_tool 3 times with values 'first', 'second', and 'third'",
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expected_output="The results of the counting operations",
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agent=agent,
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)
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crew = Crew(agents=[agent], tasks=[task])
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crew.kickoff()
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# Verify usage count was tracked
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assert tool.max_usage_count == 3
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assert tool.current_usage_count <= tool.max_usage_count
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def test_max_usage_count_limit_enforced_in_native_tool_calling(self) -> None:
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"""Test that when max_usage_count is reached, tool returns error message."""
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tool = CountingTool(max_usage_count=2)
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# Manually simulate tool being at max usage
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tool.current_usage_count = 2
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agent = Agent(
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role="Counting Agent",
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goal="Try to use the counting tool",
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backstory="You are an agent that counts things.",
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tools=[tool],
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llm=LLM(model="gpt-4o-mini"),
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verbose=False,
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max_iter=3,
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)
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# Verify the tool is at max usage
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assert tool.current_usage_count >= tool.max_usage_count
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# The tool should report it has reached its limit when the agent tries to use it
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# This is handled in _handle_native_tool_calls / execute_native_tool
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def test_tool_usage_increments_after_successful_execution(self) -> None:
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"""Test that usage count increments after each successful native tool call."""
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tool = CountingTool(max_usage_count=10)
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assert tool.current_usage_count == 0
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# Simulate direct tool execution (which happens during native tool calling)
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result = tool.run(value="test")
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assert "Counted: test" in result
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assert tool.current_usage_count == 1
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result = tool.run(value="test2")
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assert "Counted: test2" in result
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assert tool.current_usage_count == 2
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