feat: expose messages to TaskOutput and LiteAgentOutputs (#3880)

* feat: add messages to task and agent outputs - Introduced a new field in and to capture messages from the last task execution. - Updated the class to store the last messages and provide a property for easy access. - Enhanced the and classes to include messages in their outputs. - Added tests to ensure that messages are correctly included in task outputs and agent outputs during execution. * using typing_extensions for 3.10 compatability * feat: add last_messages attribute to agent for improved task tracking - Introduced a new `last_messages` attribute in the agent class to store messages from the last task execution. - Updated the `Crew` class to handle the new messages attribute in task outputs. - Enhanced existing tests to ensure that the `last_messages` attribute is correctly initialized and utilized across various guardrail scenarios. * fix: add messages field to TaskOutput in tests for consistency - Updated multiple test cases to include the new `messages` field in the `TaskOutput` instances. - Ensured that all relevant tests reflect the latest changes in the TaskOutput structure, maintaining consistency across the test suite. - This change aligns with the recent addition of the `last_messages` attribute in the agent class for improved task tracking. * feat: preserve messages in task outputs during replay - Added functionality to the Crew class to store and retrieve messages in task outputs. - Enhanced the replay mechanism to ensure that messages from stored task outputs are preserved and accessible. - Introduced a new test case to verify that messages are correctly stored and replayed, ensuring consistency in task execution and output handling. - This change improves the overall tracking and context retention of task interactions within the CrewAI framework. * fix original test, prev was debugging
2025-12-16 04:18:35 +00:00 · 2025-11-10 17:38:30 -08:00
parent 629f7f34ce
commit 6b52587c67
14 changed files with 889 additions and 14 deletions
--- a/docs/en/concepts/tasks.mdx
+++ b/docs/en/concepts/tasks.mdx
@@ -224,6 +224,7 @@ By default, the `TaskOutput` will only include the `raw` output. A `TaskOutput`
 | **JSON Dict**     | `json_dict`     | `Optional[Dict[str, Any]]` | A dictionary representing the JSON output of the task.                                             |
 | **Agent**         | `agent`         | `str`                      | The agent that executed the task.                                                                  |
 | **Output Format** | `output_format` | `OutputFormat`             | The format of the task output, with options including RAW, JSON, and Pydantic. The default is RAW. |
+| **Messages**      | `messages`      | `list[LLMMessage]`         | The messages from the last task execution.                                                           |

 ### Task Methods and Properties

--- a/lib/crewai/src/crewai/agent/core.py
+++ b/lib/crewai/src/crewai/agent/core.py
@@ -119,6 +119,7 @@ class Agent(BaseAgent):

    _times_executed: int = PrivateAttr(default=0)
    _mcp_clients: list[Any] = PrivateAttr(default_factory=list)
+    _last_messages: list[LLMMessage] = PrivateAttr(default_factory=list)
    max_execution_time: int | None = Field(
        default=None,
        description="Maximum execution time for an agent to execute a task",
@@ -538,6 +539,12 @@ class Agent(BaseAgent):
            event=AgentExecutionCompletedEvent(agent=self, task=task, output=result),
        )

+        self._last_messages = (
+            self.agent_executor.messages.copy()
+            if self.agent_executor and hasattr(self.agent_executor, "messages")
+            else []
+        )
+
        self._cleanup_mcp_clients()

        return result
@@ -1341,6 +1348,15 @@ class Agent(BaseAgent):
    def set_fingerprint(self, fingerprint: Fingerprint) -> None:
        self.security_config.fingerprint = fingerprint

+    @property
+    def last_messages(self) -> list[LLMMessage]:
+        """Get messages from the last task execution.
+
+        Returns:
+            List of LLM messages from the most recent task execution.
+        """
+        return self._last_messages
+
    def _get_knowledge_search_query(self, task_prompt: str, task: Task) -> str | None:
        """Generate a search query for the knowledge base based on the task description."""
        crewai_event_bus.emit(
--- a/lib/crewai/src/crewai/crew.py
+++ b/lib/crewai/src/crewai/crew.py
@@ -809,6 +809,7 @@ class Crew(FlowTrackable, BaseModel):
                "json_dict": output.json_dict,
                "output_format": output.output_format,
                "agent": output.agent,
+                "messages": output.messages,
            },
            "task_index": task_index,
            "inputs": inputs,
@@ -1236,6 +1237,7 @@ class Crew(FlowTrackable, BaseModel):
                pydantic=stored_output["pydantic"],
                json_dict=stored_output["json_dict"],
                output_format=stored_output["output_format"],
+                messages=stored_output.get("messages", []),
            )
            self.tasks[i].output = task_output

--- a/lib/crewai/src/crewai/lite_agent.py
+++ b/lib/crewai/src/crewai/lite_agent.py
@@ -358,6 +358,7 @@ class LiteAgent(FlowTrackable, BaseModel):
            pydantic=formatted_result,
            agent_role=self.role,
            usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
+            messages=self._messages,
        )

        # Process guardrail if set
--- a/lib/crewai/src/crewai/lite_agent_output.py
+++ b/lib/crewai/src/crewai/lite_agent_output.py
@@ -6,6 +6,8 @@ from typing import Any

 from pydantic import BaseModel, Field

+from crewai.utilities.types import LLMMessage
+

 class LiteAgentOutput(BaseModel):
    """Class that represents the result of a LiteAgent execution."""
@@ -20,6 +22,7 @@ class LiteAgentOutput(BaseModel):
    usage_metrics: dict[str, Any] | None = Field(
        description="Token usage metrics for this execution", default=None
    )
+    messages: list[LLMMessage] = Field(description="Messages of the agent", default=[])

    def to_dict(self) -> dict[str, Any]:
        """Convert pydantic_output to a dictionary."""
--- a/lib/crewai/src/crewai/task.py
+++ b/lib/crewai/src/crewai/task.py
@@ -539,6 +539,7 @@ class Task(BaseModel):
                json_dict=json_output,
                agent=agent.role,
                output_format=self._get_output_format(),
+                messages=agent.last_messages,
            )

            if self._guardrails:
@@ -949,6 +950,7 @@ Follow these guidelines:
                json_dict=json_output,
                agent=agent.role,
                output_format=self._get_output_format(),
+                messages=agent.last_messages,
            )

        return task_output
--- a/lib/crewai/src/crewai/tasks/task_output.py
+++ b/lib/crewai/src/crewai/tasks/task_output.py
@@ -6,6 +6,7 @@ from typing import Any
 from pydantic import BaseModel, Field, model_validator

 from crewai.tasks.output_format import OutputFormat
+from crewai.utilities.types import LLMMessage


 class TaskOutput(BaseModel):
@@ -40,6 +41,7 @@ class TaskOutput(BaseModel):
    output_format: OutputFormat = Field(
        description="Output format of the task", default=OutputFormat.RAW
    )
+    messages: list[LLMMessage] = Field(description="Messages of the task", default=[])

    @model_validator(mode="after")
    def set_summary(self):
--- a/lib/crewai/src/crewai/utilities/types.py
+++ b/lib/crewai/src/crewai/utilities/types.py
@@ -1,6 +1,8 @@
 """Types for CrewAI utilities."""

-from typing import Any, Literal, TypedDict
+from typing import Any, Literal
+
+from typing_extensions import TypedDict


 class LLMMessage(TypedDict):
--- a/lib/crewai/tests/agents/test_lite_agent.py
+++ b/lib/crewai/tests/agents/test_lite_agent.py
@@ -238,6 +238,27 @@ def test_lite_agent_returns_usage_metrics():
    assert result.usage_metrics["total_tokens"] > 0


+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_lite_agent_output_includes_messages():
+    """Test that LiteAgentOutput includes messages from agent execution."""
+    llm = LLM(model="gpt-4o-mini")
+    agent = Agent(
+        role="Research Assistant",
+        goal="Find information about the population of Tokyo",
+        backstory="You are a helpful research assistant who can search for information about the population of Tokyo.",
+        llm=llm,
+        tools=[WebSearchTool()],
+        verbose=True,
+    )
+
+    result = agent.kickoff("What is the population of Tokyo?")
+
+    assert isinstance(result, LiteAgentOutput)
+    assert hasattr(result, "messages")
+    assert isinstance(result.messages, list)
+    assert len(result.messages) > 0
+
+
@pytest.mark.vcr(filter_headers=["authorization"])
@pytest.mark.asyncio
 async def test_lite_agent_returns_usage_metrics_async():
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--- a/lib/crewai/tests/test_crew.py
+++ b/lib/crewai/tests/test_crew.py
@@ -340,7 +340,7 @@ def test_sync_task_execution(researcher, writer):
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
@@ -412,7 +412,7 @@ def test_manager_agent_delegating_to_assigned_task_agent(researcher, writer):
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
@@ -513,7 +513,7 @@ def test_manager_agent_delegates_with_varied_role_cases():
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )
    task.output = mock_task_output

@@ -611,7 +611,7 @@ def test_crew_with_delegating_agents_should_not_override_task_tools(ceo, writer)
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
@@ -669,7 +669,7 @@ def test_crew_with_delegating_agents_should_not_override_agent_tools(ceo, writer
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
@@ -788,7 +788,7 @@ def test_task_tools_override_agent_tools_with_allow_delegation(researcher, write
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # We mock execute_sync to verify which tools get used at runtime
@@ -1225,7 +1225,7 @@ async def test_async_task_execution_call_count(researcher, writer):

    # Create a valid TaskOutput instance to mock the return value
    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Create a MagicMock Future instance
@@ -1784,7 +1784,7 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher):
        Task,
        "execute_sync",
        return_value=TaskOutput(
-            description="dummy", raw="Hello", agent=researcher.role
+            description="dummy", raw="Hello", agent=researcher.role, messages=[]
        ),
    ):
        crew.kickoff()
@@ -1828,7 +1828,7 @@ def test_hierarchical_crew_creation_tasks_with_agents(researcher, writer):
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
@@ -1881,7 +1881,7 @@ def test_hierarchical_crew_creation_tasks_with_async_execution(researcher, write
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Create a mock Future that returns our TaskOutput
@@ -2246,11 +2246,13 @@ def test_conditional_task_uses_last_output(researcher, writer):
        description="First task output",
        raw="First success output",  # Will be used by third task's condition
        agent=researcher.role,
+        messages=[],
    )
    mock_third = TaskOutput(
        description="Third task output",
        raw="Third task executed",  # Output when condition succeeds using first task output
        agent=writer.role,
+        messages=[],
    )

    # Set up mocks for task execution and conditional logic
@@ -2318,11 +2320,13 @@ def test_conditional_tasks_result_collection(researcher, writer):
        description="Success output",
        raw="Success output",  # Triggers third task's condition
        agent=researcher.role,
+        messages=[],
    )
    mock_conditional = TaskOutput(
        description="Conditional output",
        raw="Conditional task executed",
        agent=writer.role,
+        messages=[],
    )

    # Set up mocks for task execution and conditional logic
@@ -2399,6 +2403,7 @@ def test_multiple_conditional_tasks(researcher, writer):
        description="Mock success",
        raw="Success and proceed output",
        agent=researcher.role,
+        messages=[],
    )

    # Set up mocks for task execution
@@ -2806,7 +2811,7 @@ def test_manager_agent(researcher, writer):
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Because we are mocking execute_sync, we never hit the underlying _execute_core
@@ -3001,6 +3006,7 @@ def test_replay_feature(researcher, writer):
            output_format=OutputFormat.RAW,
            pydantic=None,
            summary="Mocked output for list of ideas",
+            messages=[],
        )

        crew.kickoff()
@@ -3052,6 +3058,7 @@ def test_crew_task_db_init():
            output_format=OutputFormat.RAW,
            pydantic=None,
            summary="Write about AI in healthcare...",
+            messages=[],
        )

        crew.kickoff()
@@ -3114,6 +3121,7 @@ def test_replay_task_with_context():
        output_format=OutputFormat.RAW,
        pydantic=None,
        summary="Detailed report on AI advancements...",
+        messages=[],
    )
    mock_task_output2 = TaskOutput(
        description="Summarize the AI advancements report.",
@@ -3123,6 +3131,7 @@ def test_replay_task_with_context():
        output_format=OutputFormat.RAW,
        pydantic=None,
        summary="Summary of the AI advancements report...",
+        messages=[],
    )
    mock_task_output3 = TaskOutput(
        description="Write an article based on the AI advancements summary.",
@@ -3132,6 +3141,7 @@ def test_replay_task_with_context():
        output_format=OutputFormat.RAW,
        pydantic=None,
        summary="Article on AI advancements...",
+        messages=[],
    )
    mock_task_output4 = TaskOutput(
        description="Create a presentation based on the AI advancements article.",
@@ -3141,6 +3151,7 @@ def test_replay_task_with_context():
        output_format=OutputFormat.RAW,
        pydantic=None,
        summary="Presentation on AI advancements...",
+        messages=[],
    )

    with patch.object(Task, "execute_sync") as mock_execute_task:
@@ -3164,6 +3175,70 @@ def test_replay_task_with_context():
        db_handler.reset()


+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_replay_preserves_messages():
+    """Test that replay preserves messages from stored task outputs."""
+    from crewai.utilities.types import LLMMessage
+
+    agent = Agent(
+        role="Test Agent",
+        goal="Test goal",
+        backstory="Test backstory",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Say hello",
+        expected_output="A greeting",
+        agent=agent,
+    )
+
+    crew = Crew(agents=[agent], tasks=[task], process=Process.sequential)
+
+    mock_messages: list[LLMMessage] = [
+        {"role": "system", "content": "You are a helpful assistant."},
+        {"role": "user", "content": "Say hello"},
+        {"role": "assistant", "content": "Hello!"},
+    ]
+
+    mock_task_output = TaskOutput(
+        description="Say hello",
+        raw="Hello!",
+        agent="Test Agent",
+        messages=mock_messages,
+    )
+
+    with patch.object(Task, "execute_sync", return_value=mock_task_output):
+        crew.kickoff()
+
+    # Verify the task output was stored with messages
+    db_handler = TaskOutputStorageHandler()
+    stored_outputs = db_handler.load()
+    assert stored_outputs is not None
+    assert len(stored_outputs) > 0
+
+    # Verify messages are in the stored output
+    stored_output = stored_outputs[0]["output"]
+    assert "messages" in stored_output
+    assert len(stored_output["messages"]) == 3
+    assert stored_output["messages"][0]["role"] == "system"
+    assert stored_output["messages"][1]["role"] == "user"
+    assert stored_output["messages"][2]["role"] == "assistant"
+
+    # Replay the task and verify messages are preserved
+    with patch.object(Task, "execute_sync", return_value=mock_task_output):
+        replayed_output = crew.replay(str(task.id))
+
+    # Verify the replayed task output has messages
+    assert len(replayed_output.tasks_output) > 0
+    replayed_task_output = replayed_output.tasks_output[0]
+    assert hasattr(replayed_task_output, "messages")
+    assert isinstance(replayed_task_output.messages, list)
+    assert len(replayed_task_output.messages) == 3
+
+    db_handler.reset()
+
+
@pytest.mark.vcr(filter_headers=["authorization"])
 def test_replay_with_context():
    agent = Agent(role="test_agent", backstory="Test Description", goal="Test Goal")
@@ -3181,6 +3256,7 @@ def test_replay_with_context():
        pydantic=None,
        json_dict={},
        output_format=OutputFormat.RAW,
+        messages=[],
    )
    task1.output = context_output

@@ -3241,6 +3317,7 @@ def test_replay_with_context_set_to_nullable():
            description="Test Task Output",
            raw="test raw output",
            agent="test_agent",
+            messages=[],
        )
        crew.kickoff()

@@ -3264,6 +3341,7 @@ def test_replay_with_invalid_task_id():
        pydantic=None,
        json_dict={},
        output_format=OutputFormat.RAW,
+        messages=[],
    )
    task1.output = context_output

@@ -3328,6 +3406,7 @@ def test_replay_interpolates_inputs_properly(mock_interpolate_inputs):
        pydantic=None,
        json_dict={},
        output_format=OutputFormat.RAW,
+        messages=[],
    )
    task1.output = context_output

@@ -3386,6 +3465,7 @@ def test_replay_setup_context():
        pydantic=None,
        json_dict={},
        output_format=OutputFormat.RAW,
+        messages=[],
    )
    task1.output = context_output
    crew = Crew(agents=[agent], tasks=[task1, task2], process=Process.sequential)
@@ -3619,6 +3699,7 @@ def test_conditional_should_skip(researcher, writer):
            description="Task 1 description",
            raw="Task 1 output",
            agent="Researcher",
+            messages=[],
        )

        result = crew_met.kickoff()
@@ -3653,6 +3734,7 @@ def test_conditional_should_execute(researcher, writer):
            description="Task 1 description",
            raw="Task 1 output",
            agent="Researcher",
+            messages=[],
        )

        crew_met.kickoff()
@@ -3824,7 +3906,7 @@ def test_task_tools_preserve_code_execution_tools():
    )

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    with patch.object(
@@ -3878,7 +3960,7 @@ def test_multimodal_flag_adds_multimodal_tools():
    crew = Crew(agents=[multimodal_agent], tasks=[task], process=Process.sequential)

    mock_task_output = TaskOutput(
-        description="Mock description", raw="mocked output", agent="mocked agent"
+        description="Mock description", raw="mocked output", agent="mocked agent", messages=[]
    )

    # Mock execute_sync to verify the tools passed at runtime
@@ -3942,6 +4024,7 @@ def test_multimodal_agent_image_tool_handling():
        description="Mock description",
        raw="A detailed analysis of the image",
        agent="Image Analyst",
+        messages=[],
    )

    with patch.object(Task, "execute_sync") as mock_execute_sync:
--- a/lib/crewai/tests/test_task.py
+++ b/lib/crewai/tests/test_task.py
@@ -162,6 +162,7 @@ def test_task_callback_returns_task_output():
            "name": task.name or task.description,
            "expected_output": "Bullet point list of 5 interesting ideas.",
            "output_format": OutputFormat.RAW,
+            "messages": [],
        }
        assert output_dict == expected_output

@@ -1680,3 +1681,44 @@ def test_task_copy_with_list_context():
    assert isinstance(copied_task2.context, list)
    assert len(copied_task2.context) == 1
    assert copied_task2.context[0] is task1
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_task_output_includes_messages():
+    """Test that TaskOutput includes messages from agent execution."""
+    researcher = Agent(
+        role="Researcher",
+        goal="Make the best research and analysis on content about AI and AI agents",
+        backstory="You're an expert researcher, specialized in technology, software engineering, AI and startups. You work as a freelancer and is now working on doing research and analysis for a new customer.",
+        allow_delegation=False,
+    )
+
+    task1 = Task(
+        description="Give me a list of 3 interesting ideas about AI.",
+        expected_output="Bullet point list of 3 ideas.",
+        agent=researcher,
+    )
+
+    task2 = Task(
+        description="Summarize the ideas from the previous task.",
+        expected_output="A summary of the ideas.",
+        agent=researcher,
+    )
+
+    crew = Crew(agents=[researcher], tasks=[task1, task2], process=Process.sequential)
+    result = crew.kickoff()
+
+    # Verify both tasks have messages
+    assert len(result.tasks_output) == 2
+
+    # Check first task output has messages
+    task1_output = result.tasks_output[0]
+    assert hasattr(task1_output, "messages")
+    assert isinstance(task1_output.messages, list)
+    assert len(task1_output.messages) > 0
+
+    # Check second task output has messages
+    task2_output = result.tasks_output[1]
+    assert hasattr(task2_output, "messages")
+    assert isinstance(task2_output.messages, list)
+    assert len(task2_output.messages) > 0
--- a/lib/crewai/tests/test_task_guardrails.py
+++ b/lib/crewai/tests/test_task_guardrails.py
@@ -38,6 +38,7 @@ def test_task_without_guardrail():
    agent.role = "test_agent"
    agent.execute_task.return_value = "test result"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(description="Test task", expected_output="Output")

@@ -56,6 +57,7 @@ def test_task_with_successful_guardrail_func():
    agent.role = "test_agent"
    agent.execute_task.return_value = "test result"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test task", expected_output="Output", guardrail=guardrail
@@ -76,6 +78,7 @@ def test_task_with_failing_guardrail():
    agent.role = "test_agent"
    agent.execute_task.side_effect = ["bad result", "good result"]
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test task",
@@ -103,6 +106,7 @@ def test_task_with_guardrail_retries():
    agent.role = "test_agent"
    agent.execute_task.return_value = "bad result"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test task",
@@ -128,6 +132,7 @@ def test_guardrail_error_in_context():
    agent = Mock()
    agent.role = "test_agent"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test task",
@@ -295,6 +300,7 @@ def test_hallucination_guardrail_integration():
    agent.role = "test_agent"
    agent.execute_task.return_value = "test result"
    agent.crew = None
+    agent.last_messages = []

    mock_llm = Mock(spec=LLM)
    guardrail = HallucinationGuardrail(
@@ -342,6 +348,7 @@ def test_multiple_guardrails_sequential_processing():
    agent.role = "sequential_agent"
    agent.execute_task.return_value = "original text"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test sequential guardrails",
@@ -391,6 +398,7 @@ def test_multiple_guardrails_with_validation_failure():
    agent.role = "validation_agent"
    agent.execute_task = mock_execute_task
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test guardrails with validation",
@@ -432,6 +440,7 @@ def test_multiple_guardrails_with_mixed_string_and_taskoutput():
    agent.role = "mixed_agent"
    agent.execute_task.return_value = "original"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test mixed return types",
@@ -469,6 +478,7 @@ def test_multiple_guardrails_with_retry_on_middle_guardrail():
    agent.role = "retry_agent"
    agent.execute_task.return_value = "base"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test retry in middle guardrail",
@@ -500,6 +510,7 @@ def test_multiple_guardrails_with_max_retries_exceeded():
    agent.role = "failing_agent"
    agent.execute_task.return_value = "test"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test max retries with multiple guardrails",
@@ -523,6 +534,7 @@ def test_multiple_guardrails_empty_list():
    agent.role = "empty_agent"
    agent.execute_task.return_value = "no guardrails"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test empty guardrails list",
@@ -582,6 +594,7 @@ def test_multiple_guardrails_processing_order():
    agent.role = "order_agent"
    agent.execute_task.return_value = "base"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test processing order",
@@ -625,6 +638,7 @@ def test_multiple_guardrails_with_pydantic_output():
    agent.role = "pydantic_agent"
    agent.execute_task.return_value = "test content"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test guardrails with Pydantic",
@@ -658,6 +672,7 @@ def test_guardrails_vs_single_guardrail_mutual_exclusion():
    agent.role = "exclusion_agent"
    agent.execute_task.return_value = "test"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test mutual exclusion",
@@ -700,6 +715,7 @@ def test_per_guardrail_independent_retry_tracking():
    agent.role = "independent_retry_agent"
    agent.execute_task.return_value = "base"
    agent.crew = None
+    agent.last_messages = []

    task = create_smart_task(
        description="Test independent retry tracking",