new test for adaptative reasoning

tests/adaptive_reasoning_test.py

@@ -0,0 +1,89 @@
+from unittest.mock import MagicMock, patch
+
+import pytest
+
+from crewai import Agent, Crew, Task
+from crewai.agents.crew_agent_executor import CrewAgentExecutor
+
+
+def _create_executor(agent):  # noqa: D401,E501
+    """Utility to build a minimal CrewAgentExecutor with the given agent.
+
+    A real LLM call is not required for these unit-tests, so we stub it with
+    MagicMock to avoid any network interaction.
+    """
+    return CrewAgentExecutor(
+        llm=MagicMock(),
+        task=MagicMock(),
+        crew=MagicMock(),
+        agent=agent,
+        prompt={},
+        max_iter=5,
+        tools=[],
+        tools_names="",
+        stop_words=[],
+        tools_description="",
+        tools_handler=MagicMock(),
+    )
+
+
+def test_agent_adaptive_reasoning_default():
+    """Agent.adaptive_reasoning should be False by default."""
+    agent = Agent(role="Test", goal="Goal", backstory="Backstory")
+    assert agent.adaptive_reasoning is False
+
+
+@pytest.mark.parametrize("adaptive_decision,expected", [(True, True), (False, False)])
+def test_should_trigger_reasoning_with_adaptive_reasoning(adaptive_decision, expected):
+    """Verify _should_trigger_reasoning defers to _should_adaptive_reason when
+    adaptive_reasoning is enabled and reasoning_interval is None."""
+    # Use a lightweight mock instead of a full Agent instance to isolate the logic
+    agent = MagicMock()
+    agent.reasoning = True
+    agent.reasoning_interval = None
+    agent.adaptive_reasoning = True
+
+    executor = _create_executor(agent)
+
+    # Ensure the helper returns the desired decision
+    with patch.object(executor, "_should_adaptive_reason", return_value=adaptive_decision) as mock_adaptive:
+        assert executor._should_trigger_reasoning() is expected
+        mock_adaptive.assert_called_once()
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_adaptive_reasoning_full_execution():
+    """End-to-end test that triggers adaptive reasoning in a real execution flow.
+
+    The task description intentionally contains the word "error" to activate the
+    simple error-based heuristic inside `_should_adaptive_reason`, guaranteeing
+    that the agent reasons mid-execution without relying on patched internals.
+    """
+    agent = Agent(
+        role="Math Analyst",
+        goal="Solve arithmetic problems flawlessly",
+        backstory="You excel at basic calculations and always double-check your steps.",
+        llm="gpt-4o-mini",
+        reasoning=True,
+        adaptive_reasoning=True,
+        verbose=False,
+    )
+
+    task = Task(
+        description="There was an unexpected error earlier. Now, please calculate 3 + 5 and return only the number.",
+        expected_output="The result of the calculation (a single number).",
+        agent=agent,
+    )
+
+    crew = Crew(agents=[agent], tasks=[task])
+
+    result = crew.kickoff()
+
+    # Validate the answer is correct and numeric
+    assert result.raw.strip() == "8"
+
+    # Confirm that an adaptive reasoning message (Updated plan) was injected
+    assert any(
+        "updated plan" in msg.get("content", "").lower()
+        for msg in agent.agent_executor.messages
+    )