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:
lorenzejay
2026-01-22 13:47:36 -08:00
parent 90ab4d2527
commit ba15fbf8ea
6 changed files with 1054 additions and 227 deletions

View File

@@ -645,6 +645,16 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
original_tool = tool
break
# Check if tool has reached max usage count
max_usage_reached = False
if original_tool:
if (
hasattr(original_tool, "max_usage_count")
and original_tool.max_usage_count is not None
and original_tool.current_usage_count >= original_tool.max_usage_count
):
max_usage_reached = True
# Check cache before executing
from_cache = False
input_str = json.dumps(args_dict) if args_dict else ""
@@ -675,8 +685,8 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
track_delegation_if_needed(func_name, args_dict, self.task)
# Execute the tool (only if not cached)
if not from_cache:
# Execute the tool (only if not cached and not at max usage)
if not from_cache and not max_usage_reached:
result = "Tool not found"
if func_name in available_functions:
try:
@@ -720,6 +730,9 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
error=e,
),
)
elif max_usage_reached:
# Return error message when max usage limit is reached
result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore."
# Emit tool usage finished event
crewai_event_bus.emit(

View File

@@ -611,6 +611,17 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
original_tool = tool
break
# Check if tool has reached max usage count
max_usage_reached = False
if original_tool:
if (
hasattr(original_tool, "max_usage_count")
and original_tool.max_usage_count is not None
and original_tool.current_usage_count
>= original_tool.max_usage_count
):
max_usage_reached = True
# Check cache before executing
from_cache = False
input_str = json.dumps(args_dict) if args_dict else ""
@@ -641,8 +652,8 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
track_delegation_if_needed(func_name, args_dict, self.task)
# Execute the tool (only if not cached)
if not from_cache:
# Execute the tool (only if not cached and not at max usage)
if not from_cache and not max_usage_reached:
result = "Tool not found"
if func_name in self._available_functions:
try:
@@ -687,6 +698,9 @@ class AgentExecutor(Flow[AgentReActState], CrewAgentExecutorMixin):
error=e,
),
)
elif max_usage_reached:
# Return error message when max usage limit is reached
result = f"Tool '{func_name}' has reached its usage limit of {original_tool.max_usage_count} times and cannot be used anymore."
# Emit tool usage finished event
crewai_event_bus.emit(

View File

@@ -371,6 +371,19 @@ class ToolUsage:
self.agent.tools_results.append(data)
if available_tool and hasattr(
available_tool, "_increment_usage_count"
):
# Use _increment_usage_count to sync count to original tool
available_tool._increment_usage_count()
if (
hasattr(available_tool, "max_usage_count")
and available_tool.max_usage_count is not None
):
self._printer.print(
content=f"Tool '{available_tool.name}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
color="blue",
)
elif available_tool and hasattr(
available_tool, "current_usage_count"
):
available_tool.current_usage_count += 1
@@ -577,6 +590,19 @@ class ToolUsage:
self.agent.tools_results.append(data)
if available_tool and hasattr(
available_tool, "_increment_usage_count"
):
# Use _increment_usage_count to sync count to original tool
available_tool._increment_usage_count()
if (
hasattr(available_tool, "max_usage_count")
and available_tool.max_usage_count is not None
):
self._printer.print(
content=f"Tool '{available_tool.name}' usage: {available_tool.current_usage_count}/{available_tool.max_usage_count}",
color="blue",
)
elif available_tool and hasattr(
available_tool, "current_usage_count"
):
available_tool.current_usage_count += 1

View File

@@ -536,3 +536,100 @@ def test_native_tool_calling_error_handling(failing_tool: FailingTool):
assert error_event.tool_name == "failing_tool"
assert error_event.agent_role == agent.role
assert "This tool always fails" in str(error_event.error)
# =============================================================================
# Max Usage Count Tests for Native Tool Calling
# =============================================================================
class CountingInput(BaseModel):
"""Input schema for counting tool."""
value: str = Field(description="Value to count")
class CountingTool(BaseTool):
"""A tool that counts its usage."""
name: str = "counting_tool"
description: str = "A tool that counts how many times it's been called"
args_schema: type[BaseModel] = CountingInput
def _run(self, value: str) -> str:
"""Return the value with a count prefix."""
return f"Counted: {value}"
class TestMaxUsageCountWithNativeToolCalling:
"""Tests for max_usage_count with native tool calling."""
@pytest.mark.vcr()
def test_max_usage_count_tracked_in_native_tool_calling(self) -> None:
"""Test that max_usage_count is properly tracked when using native tool calling."""
tool = CountingTool(max_usage_count=3)
# Verify initial state
assert tool.max_usage_count == 3
assert tool.current_usage_count == 0
agent = Agent(
role="Counting Agent",
goal="Call the counting tool multiple times",
backstory="You are an agent that counts things.",
tools=[tool],
llm=LLM(model="gpt-4o-mini"),
verbose=False,
max_iter=5,
)
task = Task(
description="Call the counting_tool 3 times with values 'first', 'second', and 'third'",
expected_output="The results of the counting operations",
agent=agent,
)
crew = Crew(agents=[agent], tasks=[task])
crew.kickoff()
# Verify usage count was tracked
assert tool.max_usage_count == 3
assert tool.current_usage_count <= tool.max_usage_count
def test_max_usage_count_limit_enforced_in_native_tool_calling(self) -> None:
"""Test that when max_usage_count is reached, tool returns error message."""
tool = CountingTool(max_usage_count=2)
# Manually simulate tool being at max usage
tool.current_usage_count = 2
agent = Agent(
role="Counting Agent",
goal="Try to use the counting tool",
backstory="You are an agent that counts things.",
tools=[tool],
llm=LLM(model="gpt-4o-mini"),
verbose=False,
max_iter=3,
)
# Verify the tool is at max usage
assert tool.current_usage_count >= tool.max_usage_count
# The tool should report it has reached its limit when the agent tries to use it
# This is handled in _handle_native_tool_calls / execute_native_tool
def test_tool_usage_increments_after_successful_execution(self) -> None:
"""Test that usage count increments after each successful native tool call."""
tool = CountingTool(max_usage_count=10)
assert tool.current_usage_count == 0
# Simulate direct tool execution (which happens during native tool calling)
result = tool.run(value="test")
assert "Counted: test" in result
assert tool.current_usage_count == 1
result = tool.run(value="test2")
assert "Counted: test2" in result
assert tool.current_usage_count == 2

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