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

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
 

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(

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
 

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

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."""

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

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):

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):

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():

lib/crewai/tests/cassettes/test_lite_agent_output_includes_messages.yaml

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+      message: OK
+version: 1

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:

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

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",