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crewAI/tests/reasoning_interval_test.py
2025-05-27 09:22:19 +00:00

259 lines
8.6 KiB
Python

"""Tests for reasoning interval and adaptive reasoning in agents."""
import pytest
from unittest.mock import patch, MagicMock
from crewai import Agent, Task
from crewai.agents.crew_agent_executor import CrewAgentExecutor
from crewai.utilities.reasoning_handler import AgentReasoning
def test_agent_with_reasoning_interval():
"""Ensure that the agent triggers mid-execution reasoning based on the fixed interval."""
# Use a mock LLM to avoid real network calls
llm = MagicMock()
agent = Agent(
role="Test Agent",
goal="To test the reasoning interval feature",
backstory="I am a test agent created to verify the reasoning interval feature works correctly.",
llm=llm,
reasoning=True,
reasoning_interval=2, # Reason every 2 steps
verbose=True,
)
task = Task(
description="Multi-step task that requires periodic reasoning.",
expected_output="The task should be completed with periodic reasoning.",
agent=agent,
)
# Create a mock executor that will be injected into the agent
mock_executor = MagicMock()
mock_executor.steps_since_reasoning = 0
def mock_invoke(*args, **kwargs):
return mock_executor._invoke_loop()
def mock_invoke_loop():
assert not mock_executor._should_trigger_reasoning()
mock_executor.steps_since_reasoning += 1
mock_executor.steps_since_reasoning = 2
assert mock_executor._should_trigger_reasoning()
mock_executor._handle_mid_execution_reasoning()
return {"output": "Task completed successfully."}
mock_executor.invoke = MagicMock(side_effect=mock_invoke)
mock_executor._invoke_loop = MagicMock(side_effect=mock_invoke_loop)
mock_executor._should_trigger_reasoning = MagicMock(side_effect=lambda: mock_executor.steps_since_reasoning >= 2)
mock_executor._handle_mid_execution_reasoning = MagicMock()
# Monkey-patch create_agent_executor so that it sets our mock_executor
def _fake_create_agent_executor(self, tools=None, task=None): # noqa: D401,E501
"""Replace the real executor with the mock while preserving behaviour."""
self.agent_executor = mock_executor
return mock_executor
with patch.object(Agent, "create_agent_executor", _fake_create_agent_executor):
result = agent.execute_task(task)
# Validate results and that reasoning happened when expected
assert result == "Task completed successfully."
mock_executor._invoke_loop.assert_called_once()
mock_executor._handle_mid_execution_reasoning.assert_called_once()
def test_agent_with_adaptive_reasoning():
"""Test agent with adaptive reasoning."""
# Create a mock agent with adaptive reasoning
agent = MagicMock()
agent.reasoning = True
agent.reasoning_interval = None
agent.adaptive_reasoning = True
agent.role = "Test Agent"
# Create a mock task
task = MagicMock()
executor = CrewAgentExecutor(
llm=MagicMock(),
task=task,
crew=MagicMock(),
agent=agent,
prompt={},
max_iter=10,
tools=[],
tools_names="",
stop_words=[],
tools_description="",
tools_handler=MagicMock()
)
def mock_invoke_loop():
assert executor._should_adaptive_reason()
executor._handle_mid_execution_reasoning()
return {"output": "Task completed with adaptive reasoning."}
executor._invoke_loop = MagicMock(side_effect=mock_invoke_loop)
executor._should_adaptive_reason = MagicMock(return_value=True)
executor._handle_mid_execution_reasoning = MagicMock()
result = executor._invoke_loop()
assert result["output"] == "Task completed with adaptive reasoning."
executor._should_adaptive_reason.assert_called_once()
executor._handle_mid_execution_reasoning.assert_called_once()
def test_mid_execution_reasoning_handler():
"""Test the mid-execution reasoning handler."""
llm = MagicMock()
llm.call.return_value = "Based on progress, I'll adjust my approach.\n\nREADY: I am ready to continue executing the task."
agent = Agent(
role="Test Agent",
goal="To test the mid-execution reasoning handler",
backstory="I am a test agent created to verify the mid-execution reasoning handler works correctly.",
llm=llm,
reasoning=True,
verbose=True
)
task = Task(
description="Task to test mid-execution reasoning handler.",
expected_output="The mid-execution reasoning handler should work correctly.",
agent=agent
)
agent.llm.call = MagicMock(return_value="Based on progress, I'll adjust my approach.\n\nREADY: I am ready to continue executing the task.")
reasoning_handler = AgentReasoning(task=task, agent=agent)
result = reasoning_handler.handle_mid_execution_reasoning(
current_steps=3,
tools_used=["search_tool", "calculator_tool"],
current_progress="Made progress on steps 1-3",
iteration_messages=[
{"role": "assistant", "content": "I'll search for information."},
{"role": "system", "content": "Search results: ..."},
{"role": "assistant", "content": "I'll calculate the answer."},
{"role": "system", "content": "Calculation result: 42"}
]
)
assert result is not None
assert hasattr(result, 'plan')
assert hasattr(result.plan, 'plan')
assert hasattr(result.plan, 'ready')
assert result.plan.ready is True
def test_should_trigger_reasoning_interval():
"""Test the _should_trigger_reasoning method with interval-based reasoning."""
agent = MagicMock()
agent.reasoning = True
agent.reasoning_interval = 3
agent.adaptive_reasoning = False
executor = CrewAgentExecutor(
llm=MagicMock(),
task=MagicMock(),
crew=MagicMock(),
agent=agent,
prompt={},
max_iter=10,
tools=[],
tools_names="",
stop_words=[],
tools_description="",
tools_handler=MagicMock()
)
executor.steps_since_reasoning = 0
assert executor._should_trigger_reasoning() is False
executor.steps_since_reasoning = 2
assert executor._should_trigger_reasoning() is False
executor.steps_since_reasoning = 3
assert executor._should_trigger_reasoning() is True
executor.steps_since_reasoning = 4
assert executor._should_trigger_reasoning() is True
def test_should_trigger_adaptive_reasoning():
"""Test the _should_adaptive_reason method."""
agent = MagicMock()
agent.reasoning = True
agent.reasoning_interval = None
agent.adaptive_reasoning = True
executor = CrewAgentExecutor(
llm=MagicMock(),
task=MagicMock(),
crew=MagicMock(),
agent=agent,
prompt={},
max_iter=10,
tools=[],
tools_names="",
stop_words=[],
tools_description="",
tools_handler=MagicMock()
)
with patch('crewai.utilities.reasoning_handler.AgentReasoning.should_adaptive_reason_llm', return_value=True):
assert executor._should_adaptive_reason() is True
executor.messages = [
{"role": "assistant", "content": "I'll try this approach."},
{"role": "system", "content": "Error: Failed to execute the command."},
{"role": "assistant", "content": "Let me try something else."}
]
assert executor._should_adaptive_reason() is True
executor.messages = [
{"role": "assistant", "content": "I'll try this approach."},
{"role": "system", "content": "Command executed successfully."},
{"role": "assistant", "content": "Let me continue with the next step."}
]
with patch('crewai.utilities.reasoning_handler.AgentReasoning.should_adaptive_reason_llm', return_value=False):
assert executor._should_adaptive_reason() is False
@pytest.mark.parametrize("interval,steps,should_reason", [
(None, 5, False),
(3, 2, False),
(3, 3, True),
(1, 1, True),
(5, 10, True),
])
def test_reasoning_interval_scenarios(interval, steps, should_reason):
"""Test various reasoning interval scenarios."""
agent = MagicMock()
agent.reasoning = True
agent.reasoning_interval = interval
agent.adaptive_reasoning = False
executor = CrewAgentExecutor(
llm=MagicMock(),
task=MagicMock(),
crew=MagicMock(),
agent=agent,
prompt={},
max_iter=10,
tools=[],
tools_names="",
stop_words=[],
tools_description="",
tools_handler=MagicMock()
)
executor.steps_since_reasoning = steps
assert executor._should_trigger_reasoning() is should_reason