fix tests

- Refactored imports in lite_agent.py for better readability.
- Enhanced guardrail property initialization in LiteAgent.
- Updated logging functionality to emit AgentLogsExecutionEvent for better tracking.
- Modified ConsoleFormatter to include tool arguments and final output in status updates.
- Improved output formatting for long text in ConsoleFormatter.

src/crewai/agents/crew_agent_executor.py

@@ -25,12 +25,16 @@ from crewai.utilities.agent_utils import (
     has_reached_max_iterations,
     is_context_length_exceeded,
     process_llm_response,
-    show_agent_logs,
 )
 from crewai.utilities.constants import MAX_LLM_RETRY, TRAINING_DATA_FILE
 from crewai.utilities.logger import Logger
 from crewai.utilities.tool_utils import execute_tool_and_check_finality
 from crewai.utilities.training_handler import CrewTrainingHandler
+from crewai.utilities.events.agent_events import (
+    AgentLogsStartedEvent,
+    AgentLogsExecutionEvent,
+)
+from crewai.utilities.events.crewai_event_bus import crewai_event_bus
 
 
 class CrewAgentExecutor(CrewAgentExecutorMixin):
@@ -263,26 +267,32 @@ class CrewAgentExecutor(CrewAgentExecutorMixin):
         """Show logs for the start of agent execution."""
         if self.agent is None:
             raise ValueError("Agent cannot be None")
-        show_agent_logs(
-            printer=self._printer,
-            agent_role=self.agent.role,
-            task_description=(
-                getattr(self.task, "description") if self.task else "Not Found"
+
+        crewai_event_bus.emit(
+            self.agent,
+            AgentLogsStartedEvent(
+                agent_role=self.agent.role,
+                task_description=(
+                    getattr(self.task, "description") if self.task else "Not Found"
+                ),
+                verbose=self.agent.verbose
+                or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
             ),
-            verbose=self.agent.verbose
-            or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
         )
 
     def _show_logs(self, formatted_answer: Union[AgentAction, AgentFinish]):
         """Show logs for the agent's execution."""
         if self.agent is None:
             raise ValueError("Agent cannot be None")
-        show_agent_logs(
-            printer=self._printer,
-            agent_role=self.agent.role,
-            formatted_answer=formatted_answer,
-            verbose=self.agent.verbose
-            or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
+
+        crewai_event_bus.emit(
+            self.agent,
+            AgentLogsExecutionEvent(
+                agent_role=self.agent.role,
+                formatted_answer=formatted_answer,
+                verbose=self.agent.verbose
+                or (hasattr(self, "crew") and getattr(self.crew, "verbose", False)),
+            ),
         )
 
     def _summarize_messages(self) -> None:

src/crewai/lite_agent.py

@@ -1,14 +1,33 @@
 import asyncio
 import inspect
 import uuid
-from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union, cast, get_args, get_origin
+from typing import (
+    Any,
+    Callable,
+    Dict,
+    List,
+    Optional,
+    Tuple,
+    Type,
+    Union,
+    cast,
+    get_args,
+    get_origin,
+)
 
 try:
     from typing import Self
 except ImportError:
     from typing_extensions import Self
 
-from pydantic import BaseModel, Field, InstanceOf, PrivateAttr, model_validator, field_validator
+from pydantic import (
+    BaseModel,
+    Field,
+    InstanceOf,
+    PrivateAttr,
+    model_validator,
+    field_validator,
+)
 
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.agents.agent_builder.utilities.base_token_process import TokenProcess
@@ -39,10 +58,10 @@ from crewai.utilities.agent_utils import (
     parse_tools,
     process_llm_response,
     render_text_description_and_args,
-    show_agent_logs,
 )
 from crewai.utilities.converter import generate_model_description
 from crewai.utilities.events.agent_events import (
+    AgentLogsExecutionEvent,
     LiteAgentExecutionCompletedEvent,
     LiteAgentExecutionErrorEvent,
     LiteAgentExecutionStartedEvent,
@@ -153,9 +172,11 @@ class LiteAgent(FlowTrackable, BaseModel):
     )
 
     # Guardrail Properties
-    guardrail: Optional[Union[Callable[[LiteAgentOutput], Tuple[bool, Any]], str]] = Field(
-        default=None,
-        description="Function or string description of a guardrail to validate agent output"
+    guardrail: Optional[Union[Callable[[LiteAgentOutput], Tuple[bool, Any]], str]] = (
+        Field(
+            default=None,
+            description="Function or string description of a guardrail to validate agent output",
+        )
     )
     guardrail_max_retries: int = Field(
         default=3, description="Maximum number of retries when guardrail fails"
@@ -181,7 +202,6 @@ class LiteAgent(FlowTrackable, BaseModel):
     _guardrail: Optional[Callable] = PrivateAttr(default=None)
     _guardrail_retry_count: int = PrivateAttr(default=0)
 
-
     @model_validator(mode="after")
     def setup_llm(self):
         """Set up the LLM and other components after initialization."""
@@ -208,17 +228,18 @@ class LiteAgent(FlowTrackable, BaseModel):
             self._guardrail = self.guardrail
         elif isinstance(self.guardrail, str):
             from crewai.tasks.llm_guardrail import LLMGuardrail
+
             assert isinstance(self.llm, LLM)
 
-            self._guardrail = LLMGuardrail(
-                description=self.guardrail, llm=self.llm
-            )
+            self._guardrail = LLMGuardrail(description=self.guardrail, llm=self.llm)
 
         return self
 
     @field_validator("guardrail", mode="before")
     @classmethod
-    def validate_guardrail_function(cls, v: Optional[Union[Callable, str]]) -> Optional[Union[Callable, str]]:
+    def validate_guardrail_function(
+        cls, v: Optional[Union[Callable, str]]
+    ) -> Optional[Union[Callable, str]]:
         """Validate that the guardrail function has the correct signature.
 
         If v is a callable, validate that it has the correct signature.
@@ -330,9 +351,7 @@ class LiteAgent(FlowTrackable, BaseModel):
         if self.response_format:
             try:
                 # Cast to BaseModel to ensure type safety
-                result = self.response_format.model_validate_json(
-                    agent_finish.output
-                )
+                result = self.response_format.model_validate_json(agent_finish.output)
                 if isinstance(result, BaseModel):
                     formatted_result = result
             except Exception as e:
@@ -357,15 +376,15 @@ class LiteAgent(FlowTrackable, BaseModel):
             guardrail_result = process_guardrail(
                 output=output,
                 guardrail=self._guardrail,
-                retry_count=self._guardrail_retry_count
+                retry_count=self._guardrail_retry_count,
             )
 
             if not guardrail_result.success:
                 if self._guardrail_retry_count >= self.guardrail_max_retries:
-                        raise Exception(
-                            f"Agent's guardrail failed validation after {self.guardrail_max_retries} retries. "
-                            f"Last error: {guardrail_result.error}"
-                        )
+                    raise Exception(
+                        f"Agent's guardrail failed validation after {self.guardrail_max_retries} retries. "
+                        f"Last error: {guardrail_result.error}"
+                    )
                 self._guardrail_retry_count += 1
                 if self.verbose:
                     self._printer.print(
@@ -373,10 +392,13 @@ class LiteAgent(FlowTrackable, BaseModel):
                         f"\n{guardrail_result.error}"
                     )
 
-                self._messages.append({
-                    "role": "user",
-                    "content": guardrail_result.error or "Guardrail validation failed"
-                })
+                self._messages.append(
+                    {
+                        "role": "user",
+                        "content": guardrail_result.error
+                        or "Guardrail validation failed",
+                    }
+                )
 
                 return self._execute_core(agent_info=agent_info)
 
@@ -580,11 +602,13 @@ class LiteAgent(FlowTrackable, BaseModel):
 
     def _show_logs(self, formatted_answer: Union[AgentAction, AgentFinish]):
         """Show logs for the agent's execution."""
-        show_agent_logs(
-            printer=self._printer,
-            agent_role=self.role,
-            formatted_answer=formatted_answer,
-            verbose=self.verbose,
+        crewai_event_bus.emit(
+            self,
+            AgentLogsExecutionEvent(
+                agent_role=self.role,
+                formatted_answer=formatted_answer,
+                verbose=self.verbose,
+            ),
         )
 
     def _append_message(self, text: str, role: str = "assistant") -> None:

src/crewai/utilities/events/agent_events.py

@@ -102,3 +102,24 @@ class LiteAgentExecutionErrorEvent(BaseEvent):
     agent_info: Dict[str, Any]
     error: str
     type: str = "lite_agent_execution_error"
+
+
+# New logging events
+class AgentLogsStartedEvent(BaseEvent):
+    """Event emitted when agent logs should be shown at start"""
+
+    agent_role: str
+    task_description: Optional[str] = None
+    verbose: bool = False
+    type: str = "agent_logs_started"
+
+
+class AgentLogsExecutionEvent(BaseEvent):
+    """Event emitted when agent logs should be shown during execution"""
+
+    agent_role: str
+    formatted_answer: Any
+    verbose: bool = False
+    type: str = "agent_logs_execution"
+
+    model_config = {"arbitrary_types_allowed": True}

src/crewai/utilities/events/event_listener.py

@@ -27,6 +27,8 @@ from crewai.utilities.events.utils.console_formatter import ConsoleFormatter
 from .agent_events import (
     AgentExecutionCompletedEvent,
     AgentExecutionStartedEvent,
+    AgentLogsStartedEvent,
+    AgentLogsExecutionEvent,
     LiteAgentExecutionCompletedEvent,
     LiteAgentExecutionErrorEvent,
     LiteAgentExecutionStartedEvent,
@@ -108,6 +110,7 @@ class EventListener(BaseEventListener):
                 event.crew_name or "Crew",
                 source.id,
                 "completed",
+                final_string_output,
             )
 
         @crewai_event_bus.on(CrewKickoffFailedEvent)
@@ -286,13 +289,14 @@ class EventListener(BaseEventListener):
             if isinstance(source, LLM):
                 self.formatter.handle_llm_tool_usage_started(
                     event.tool_name,
+                    event.tool_args,
                 )
             else:
                 self.formatter.handle_tool_usage_started(
                     self.formatter.current_agent_branch,
                     event.tool_name,
-                self.formatter.current_crew_tree,
-            )
+                    self.formatter.current_crew_tree,
+                )
 
         @crewai_event_bus.on(ToolUsageFinishedEvent)
         def on_tool_usage_finished(source, event: ToolUsageFinishedEvent):
@@ -320,16 +324,20 @@ class EventListener(BaseEventListener):
                     event.tool_name,
                     event.error,
                     self.formatter.current_crew_tree,
-            )
+                )
 
         # ----------- LLM EVENTS -----------
 
         @crewai_event_bus.on(LLMCallStartedEvent)
         def on_llm_call_started(source, event: LLMCallStartedEvent):
-            self.formatter.handle_llm_call_started(
+            # Capture the returned tool branch and update the current_tool_branch reference
+            thinking_branch = self.formatter.handle_llm_call_started(
                 self.formatter.current_agent_branch,
                 self.formatter.current_crew_tree,
             )
+            # Update the formatter's current_tool_branch to ensure proper cleanup
+            if thinking_branch is not None:
+                self.formatter.current_tool_branch = thinking_branch
 
         @crewai_event_bus.on(LLMCallCompletedEvent)
         def on_llm_call_completed(source, event: LLMCallCompletedEvent):
@@ -462,5 +470,23 @@ class EventListener(BaseEventListener):
                 self.formatter.current_crew_tree,
             )
 
+        # ----------- AGENT LOGGING EVENTS -----------
+
+        @crewai_event_bus.on(AgentLogsStartedEvent)
+        def on_agent_logs_started(source, event: AgentLogsStartedEvent):
+            self.formatter.handle_agent_logs_started(
+                event.agent_role,
+                event.task_description,
+                event.verbose,
+            )
+
+        @crewai_event_bus.on(AgentLogsExecutionEvent)
+        def on_agent_logs_execution(source, event: AgentLogsExecutionEvent):
+            self.formatter.handle_agent_logs_execution(
+                event.agent_role,
+                event.formatted_answer,
+                event.verbose,
+            )
+
 
 event_listener = EventListener()

src/crewai/utilities/events/utils/console_formatter.py

@@ -5,6 +5,7 @@ from rich.panel import Panel
 from rich.text import Text
 from rich.tree import Tree
 from rich.live import Live
+from rich.syntax import Syntax
 
 
 class ConsoleFormatter:
@@ -40,7 +41,12 @@ class ConsoleFormatter:
         )
 
     def create_status_content(
-        self, title: str, name: str, status_style: str = "blue", **fields
+        self,
+        title: str,
+        name: str,
+        status_style: str = "blue",
+        tool_args: Dict[str, Any] | str = "",
+        **fields,
     ) -> Text:
         """Create standardized status content with consistent formatting."""
         content = Text()
@@ -53,6 +59,8 @@ class ConsoleFormatter:
             content.append(
                 f"{value}\n", style=fields.get(f"{label}_style", status_style)
             )
+        content.append("Tool Args: ", style="white")
+        content.append(f"{tool_args}\n", style=status_style)
 
         return content
 
@@ -152,6 +160,7 @@ class ConsoleFormatter:
         crew_name: str,
         source_id: str,
         status: str = "completed",
+        final_string_output: str = "",
     ) -> None:
         """Handle crew tree updates with consistent formatting."""
         if not self.verbose or tree is None:
@@ -183,6 +192,7 @@ class ConsoleFormatter:
             style,
             ID=source_id,
         )
+        content.append(f"Final Output: {final_string_output}\n", style="white")
 
         self.print_panel(content, title, style)
 
@@ -455,12 +465,19 @@ class ConsoleFormatter:
     def handle_llm_tool_usage_started(
         self,
         tool_name: str,
+        tool_args: Dict[str, Any] | str,
     ):
-        tree = self.get_llm_tree(tool_name)
-        self.add_tree_node(tree, "🔄 Tool Usage Started", "green")
-        self.print(tree)
+        # Create status content for the tool usage
+        content = self.create_status_content(
+            "Tool Usage Started", tool_name, Status="In Progress", tool_args=tool_args
+        )
+
+        # Create and print the panel
+        self.print_panel(content, "Tool Usage", "green")
         self.print()
-        return tree
+
+        # Still return the tree for compatibility with existing code
+        return self.get_llm_tree(tool_name)
 
     def handle_llm_tool_usage_finished(
         self,
@@ -491,6 +508,7 @@ class ConsoleFormatter:
         agent_branch: Optional[Tree],
         tool_name: str,
         crew_tree: Optional[Tree],
+        tool_args: Dict[str, Any] | str = "",
     ) -> Optional[Tree]:
         """Handle tool usage started event."""
         if not self.verbose:
@@ -498,9 +516,7 @@ class ConsoleFormatter:
 
         # Parent for tool usage: LiteAgent > Agent > Task
         branch_to_use = (
-            self.current_lite_agent_branch
-            or agent_branch
-            or self.current_task_branch
+            self.current_lite_agent_branch or agent_branch or self.current_task_branch
         )
 
         # Render full crew tree when available for consistent live updates
@@ -609,9 +625,7 @@ class ConsoleFormatter:
 
         # Parent for tool usage: LiteAgent > Agent > Task
         branch_to_use = (
-            self.current_lite_agent_branch
-            or agent_branch
-            or self.current_task_branch
+            self.current_lite_agent_branch or agent_branch or self.current_task_branch
         )
 
         # Render full crew tree when available for consistent live updates
@@ -625,14 +639,21 @@ class ConsoleFormatter:
                 return None
 
         # Only add thinking status if we don't have a current tool branch
-        if self.current_tool_branch is None:
+        # or if the current tool branch is not a thinking node
+        should_add_thinking = self.current_tool_branch is None or "Thinking" not in str(
+            self.current_tool_branch.label
+        )
+
+        if should_add_thinking:
             tool_branch = branch_to_use.add("")
             self.update_tree_label(tool_branch, "🧠", "Thinking...", "blue")
             self.current_tool_branch = tool_branch
             self.print(tree_to_use)
             self.print()
             return tool_branch
-        return None
+
+        # Return the existing tool branch if it's already a thinking node
+        return self.current_tool_branch
 
     def handle_llm_call_completed(
         self,
@@ -641,7 +662,7 @@ class ConsoleFormatter:
         crew_tree: Optional[Tree],
     ) -> None:
         """Handle LLM call completed event."""
-        if not self.verbose or tool_branch is None:
+        if not self.verbose:
             return
 
         # Decide which tree to render: prefer full crew tree, else parent branch
@@ -649,23 +670,50 @@ class ConsoleFormatter:
         if tree_to_use is None:
             return
 
-        # Remove the thinking status node when complete
-        if "Thinking" in str(tool_branch.label):
+        # Try to remove the thinking status node - first try the provided tool_branch
+        thinking_branch_to_remove = None
+        removed = False
+
+        # Method 1: Use the provided tool_branch if it's a thinking node
+        if tool_branch is not None and "Thinking" in str(tool_branch.label):
+            thinking_branch_to_remove = tool_branch
+
+        # Method 2: Fallback - search for any thinking node if tool_branch is None or not thinking
+        if thinking_branch_to_remove is None:
             parents = [
                 self.current_lite_agent_branch,
                 self.current_agent_branch,
                 self.current_task_branch,
                 tree_to_use,
             ]
-            removed = False
             for parent in parents:
-                if isinstance(parent, Tree) and tool_branch in parent.children:
-                    parent.children.remove(tool_branch)
+                if isinstance(parent, Tree):
+                    for child in parent.children:
+                        if "Thinking" in str(child.label):
+                            thinking_branch_to_remove = child
+                            break
+                    if thinking_branch_to_remove:
+                        break
+
+        # Remove the thinking node if found
+        if thinking_branch_to_remove:
+            parents = [
+                self.current_lite_agent_branch,
+                self.current_agent_branch,
+                self.current_task_branch,
+                tree_to_use,
+            ]
+            for parent in parents:
+                if (
+                    isinstance(parent, Tree)
+                    and thinking_branch_to_remove in parent.children
+                ):
+                    parent.children.remove(thinking_branch_to_remove)
                     removed = True
                     break
 
             # Clear pointer if we just removed the current_tool_branch
-            if self.current_tool_branch is tool_branch:
+            if self.current_tool_branch is thinking_branch_to_remove:
                 self.current_tool_branch = None
 
             if removed:
@@ -682,9 +730,36 @@ class ConsoleFormatter:
         # Decide which tree to render: prefer full crew tree, else parent branch
         tree_to_use = self.current_crew_tree or crew_tree or self.current_task_branch
 
-        # Update tool branch if it exists
-        if tool_branch:
-            tool_branch.label = Text("❌ LLM Failed", style="red bold")
+        # Find the thinking branch to update (similar to completion logic)
+        thinking_branch_to_update = None
+
+        # Method 1: Use the provided tool_branch if it's a thinking node
+        if tool_branch is not None and "Thinking" in str(tool_branch.label):
+            thinking_branch_to_update = tool_branch
+
+        # Method 2: Fallback - search for any thinking node if tool_branch is None or not thinking
+        if thinking_branch_to_update is None:
+            parents = [
+                self.current_lite_agent_branch,
+                self.current_agent_branch,
+                self.current_task_branch,
+                tree_to_use,
+            ]
+            for parent in parents:
+                if isinstance(parent, Tree):
+                    for child in parent.children:
+                        if "Thinking" in str(child.label):
+                            thinking_branch_to_update = child
+                            break
+                    if thinking_branch_to_update:
+                        break
+
+        # Update the thinking branch to show failure
+        if thinking_branch_to_update:
+            thinking_branch_to_update.label = Text("❌ LLM Failed", style="red bold")
+            # Clear the current_tool_branch reference
+            if self.current_tool_branch is thinking_branch_to_update:
+                self.current_tool_branch = None
             if tree_to_use:
                 self.print(tree_to_use)
                 self.print()
@@ -1127,9 +1202,7 @@ class ConsoleFormatter:
 
         # Prefer LiteAgent > Agent > Task branch as the parent for reasoning
         branch_to_use = (
-            self.current_lite_agent_branch
-            or agent_branch
-            or self.current_task_branch
+            self.current_lite_agent_branch or agent_branch or self.current_task_branch
         )
 
         # We always want to render the full crew tree when possible so the
@@ -1176,7 +1249,9 @@ class ConsoleFormatter:
         )
 
         style = "green" if ready else "yellow"
-        status_text = "Reasoning Completed" if ready else "Reasoning Completed (Not Ready)"
+        status_text = (
+            "Reasoning Completed" if ready else "Reasoning Completed (Not Ready)"
+        )
 
         if reasoning_branch is not None:
             self.update_tree_label(reasoning_branch, "✅", status_text, style)
@@ -1233,3 +1308,149 @@ class ConsoleFormatter:
 
         # Clear stored branch after failure
         self.current_reasoning_branch = None
+
+    # ----------- AGENT LOGGING EVENTS -----------
+
+    def handle_agent_logs_started(
+        self,
+        agent_role: str,
+        task_description: Optional[str] = None,
+        verbose: bool = False,
+    ) -> None:
+        """Handle agent logs started event."""
+        if not verbose:
+            return
+
+        agent_role = agent_role.split("\n")[0]
+
+        # Create panel content
+        content = Text()
+        content.append("Agent: ", style="white")
+        content.append(f"{agent_role}", style="bright_green bold")
+
+        if task_description:
+            content.append("\n\nTask: ", style="white")
+            content.append(f"{task_description}", style="bright_green")
+
+        # Create and display the panel
+        agent_panel = Panel(
+            content,
+            title="🤖 Agent Started",
+            border_style="magenta",
+            padding=(1, 2),
+        )
+        self.print(agent_panel)
+        self.print()
+
+    def handle_agent_logs_execution(
+        self,
+        agent_role: str,
+        formatted_answer: Any,
+        verbose: bool = False,
+    ) -> None:
+        """Handle agent logs execution event."""
+        if not verbose:
+            return
+
+        from crewai.agents.parser import AgentAction, AgentFinish
+        import json
+        import re
+
+        agent_role = agent_role.split("\n")[0]
+
+        if isinstance(formatted_answer, AgentAction):
+            thought = re.sub(r"\n+", "\n", formatted_answer.thought)
+            formatted_json = json.dumps(
+                formatted_answer.tool_input,
+                indent=2,
+                ensure_ascii=False,
+            )
+
+            # Create content for the action panel
+            content = Text()
+            content.append("Agent: ", style="white")
+            content.append(f"{agent_role}\n\n", style="bright_green bold")
+
+            if thought and thought != "":
+                content.append("Thought: ", style="white")
+                content.append(f"{thought}\n\n", style="bright_green")
+
+            content.append("Using Tool: ", style="white")
+            content.append(f"{formatted_answer.tool}\n\n", style="bright_green bold")
+
+            content.append("Tool Input:\n", style="white")
+
+            # Create a syntax-highlighted JSON code block
+            json_syntax = Syntax(
+                formatted_json,
+                "json",
+                theme="monokai",
+                line_numbers=False,
+                background_color="default",
+            )
+
+            content.append("\n")
+
+            # Create separate panels for better organization
+            main_content = Text()
+            main_content.append("Agent: ", style="white")
+            main_content.append(f"{agent_role}\n\n", style="bright_green bold")
+
+            if thought and thought != "":
+                main_content.append("Thought: ", style="white")
+                main_content.append(f"{thought}\n\n", style="bright_green")
+
+            main_content.append("Using Tool: ", style="white")
+            main_content.append(f"{formatted_answer.tool}", style="bright_green bold")
+
+            # Create the main action panel
+            action_panel = Panel(
+                main_content,
+                title="🔧 Agent Tool Execution",
+                border_style="magenta",
+                padding=(1, 2),
+            )
+
+            # Create the JSON input panel
+            input_panel = Panel(
+                json_syntax,
+                title="Tool Input",
+                border_style="blue",
+                padding=(1, 2),
+            )
+
+            # Create tool output content with better formatting
+            output_text = str(formatted_answer.result)
+            if len(output_text) > 2000:
+                output_text = output_text[:1997] + "..."
+
+            output_panel = Panel(
+                Text(output_text, style="bright_green"),
+                title="Tool Output",
+                border_style="green",
+                padding=(1, 2),
+            )
+
+            # Print all panels
+            self.print(action_panel)
+            self.print(input_panel)
+            self.print(output_panel)
+            self.print()
+
+        elif isinstance(formatted_answer, AgentFinish):
+            # Create content for the finish panel
+            content = Text()
+            content.append("Agent: ", style="white")
+            content.append(f"{agent_role}\n\n", style="bright_green bold")
+            content.append("Final Answer:\n", style="white")
+            content.append(f"{formatted_answer.output}", style="bright_green")
+
+            # Create and display the finish panel
+            finish_panel = Panel(
+                content,
+                title="✅ Agent Final Answer",
+                border_style="green",
+                padding=(1, 2),
+            )
+            self.print(finish_panel)
+            self.print()

tests/agent_test.py

@@ -501,8 +501,7 @@ def test_agent_custom_max_iterations():
 def test_agent_repeated_tool_usage(capsys):
     @tool
     def get_final_answer() -> float:
-        """Get the final answer but don't give it yet, just re-use this
-        tool non-stop."""
+        """Get the final answer but don't give it yet, just re-use this tool non-stop."""
         return 42
 
     agent = Agent(
@@ -527,12 +526,42 @@ def test_agent_repeated_tool_usage(capsys):
     )
 
     captured = capsys.readouterr()
-
-    assert (
-        "I tried reusing the same input, I must stop using this action input. I'll try something else instead."
-        in captured.out
+    output = (
+        captured.out.replace("\n", " ")
+        .replace("  ", " ")
+        .strip()
+        .replace("╭", "")
+        .replace("╮", "")
+        .replace("╯", "")
+        .replace("╰", "")
+        .replace("│", "")
+        .replace("─", "")
+        .replace("[", "")
+        .replace("]", "")
+        .replace("bold", "")
+        .replace("blue", "")
+        .replace("yellow", "")
+        .replace("green", "")
+        .replace("red", "")
+        .replace("dim", "")
+        .replace("🤖", "")
+        .replace("🔧", "")
+        .replace("✅", "")
+        .replace("\x1b[93m", "")
+        .replace("\x1b[00m", "")
+        .replace("\\", "")
+        .replace('"', "")
+        .replace("'", "")
     )
 
+    # Look for the message in the normalized output, handling the apostrophe difference
+    expected_message = (
+        "I tried reusing the same input, I must stop using this action input."
+    )
+    assert (
+        expected_message in output
+    ), f"Expected message not found in output. Output was: {output}"
+
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
@@ -564,11 +593,43 @@ def test_agent_repeated_tool_usage_check_even_with_disabled_cache(capsys):
     )
 
     captured = capsys.readouterr()
-    assert (
-        "I tried reusing the same input, I must stop using this action input. I'll try something else instead."
-        in captured.out
+    output = (
+        captured.out.replace("\n", " ")
+        .replace("  ", " ")
+        .strip()
+        .replace("╭", "")
+        .replace("╮", "")
+        .replace("╯", "")
+        .replace("╰", "")
+        .replace("│", "")
+        .replace("─", "")
+        .replace("[", "")
+        .replace("]", "")
+        .replace("bold", "")
+        .replace("blue", "")
+        .replace("yellow", "")
+        .replace("green", "")
+        .replace("red", "")
+        .replace("dim", "")
+        .replace("🤖", "")
+        .replace("🔧", "")
+        .replace("✅", "")
+        .replace("\x1b[93m", "")
+        .replace("\x1b[00m", "")
+        .replace("\\", "")
+        .replace('"', "")
+        .replace("'", "")
     )
 
+    # Look for the message in the normalized output, handling the apostrophe difference
+    expected_message = (
+        "I tried reusing the same input, I must stop using this action input"
+    )
+
+    assert (
+        expected_message in output
+    ), f"Expected message not found in output. Output was: {output}"
+
 
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_agent_moved_on_after_max_iterations():
@@ -2092,7 +2153,12 @@ def test_agent_from_repository_with_invalid_tools(mock_get_agent, mock_get_auth_
         "role": "test role",
         "goal": "test goal",
         "backstory": "test backstory",
-        "tools": [{"name": "DoesNotExist", "module": "crewai_tools",}],
+        "tools": [
+            {
+                "name": "DoesNotExist",
+                "module": "crewai_tools",
+            }
+        ],
     }
     mock_get_agent.return_value = mock_get_response
     with pytest.raises(
@@ -2131,7 +2197,9 @@ def test_agent_from_repository_agent_not_found(mock_get_agent, mock_get_auth_tok
 @patch("crewai.cli.plus_api.PlusAPI.get_agent")
 @patch("crewai.utilities.agent_utils.Settings")
 @patch("crewai.utilities.agent_utils.console")
-def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mock_get_agent, mock_get_auth_token):
+def test_agent_from_repository_displays_org_info(
+    mock_console, mock_settings, mock_get_agent, mock_get_auth_token
+):
     mock_settings_instance = MagicMock()
     mock_settings_instance.org_uuid = "test-org-uuid"
     mock_settings_instance.org_name = "Test Organization"
@@ -2143,7 +2211,7 @@ def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mo
         "role": "test role",
         "goal": "test goal",
         "backstory": "test backstory",
-        "tools": []
+        "tools": [],
     }
     mock_get_agent.return_value = mock_get_response
 
@@ -2151,7 +2219,7 @@ def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mo
 
     mock_console.print.assert_any_call(
         "Fetching agent from organization: Test Organization (test-org-uuid)",
-        style="bold blue"
+        style="bold blue",
     )
 
     assert agent.role == "test role"
@@ -2162,7 +2230,9 @@ def test_agent_from_repository_displays_org_info(mock_console, mock_settings, mo
 @patch("crewai.cli.plus_api.PlusAPI.get_agent")
 @patch("crewai.utilities.agent_utils.Settings")
 @patch("crewai.utilities.agent_utils.console")
-def test_agent_from_repository_without_org_set(mock_console, mock_settings, mock_get_agent, mock_get_auth_token):
+def test_agent_from_repository_without_org_set(
+    mock_console, mock_settings, mock_get_agent, mock_get_auth_token
+):
     mock_settings_instance = MagicMock()
     mock_settings_instance.org_uuid = None
     mock_settings_instance.org_name = None
@@ -2175,11 +2245,11 @@ def test_agent_from_repository_without_org_set(mock_console, mock_settings, mock
 
     with pytest.raises(
         AgentRepositoryError,
-        match="Agent test_agent could not be loaded: Unauthorized access"
+        match="Agent test_agent could not be loaded: Unauthorized access",
     ):
         Agent(from_repository="test_agent")
 
     mock_console.print.assert_any_call(
         "No organization currently set. We recommend setting one before using: `crewai org switch <org_id>` command.",
-        style="yellow"
+        style="yellow",
     )

tests/cassettes/test_crew_verbose_output.yaml

@@ -970,4 +970,114 @@ interactions:
       - req_50eac495e752ff0e3bb7a09b2f444bf2
     http_version: HTTP/1.1
     status_code: 200
+- request:
+    body: null
+    headers: {}
+    method: GET
+    uri: https://pypi.org/pypi/agentops/json
+  response:
+    body:
+      string: '{"info":{"author":null,"author_email":"Alex Reibman <areibman@gmail.com>,
+        Shawn Qiu <siyangqiu@gmail.com>, Braelyn Boynton <bboynton97@gmail.com>, Howard
+        Gil <howardbgil@gmail.com>, Constantin Teodorescu <teocns@gmail.com>, Pratyush
+        Shukla <ps4534@nyu.edu>, Travis Dent <tcdent@gmail.com>, Dwij Patel <dwijpatel1704@gmail.com>","bugtrack_url":null,"classifiers":["License
+        :: OSI Approved :: MIT License","Operating System :: OS Independent","Programming
+        Language :: Python :: 3","Programming Language :: Python :: 3.10","Programming
+        Language :: Python :: 3.11","Programming Language :: Python :: 3.12","Programming
+        Language :: Python :: 3.13","Programming Language :: Python :: 3.9"],"description":"","description_content_type":null,"docs_url":null,"download_url":null,"downloads":{"last_day":-1,"last_month":-1,"last_week":-1},"dynamic":null,"home_page":null,"keywords":null,"license":null,"license_expression":null,"license_files":["LICENSE"],"maintainer":null,"maintainer_email":null,"name":"agentops","package_url":"https://pypi.org/project/agentops/","platform":null,"project_url":"https://pypi.org/project/agentops/","project_urls":{"Homepage":"https://github.com/AgentOps-AI/agentops","Issues":"https://github.com/AgentOps-AI/agentops/issues"},"provides_extra":null,"release_url":"https://pypi.org/project/agentops/0.4.14/","requires_dist":["httpx<0.29.0,>=0.24.0","opentelemetry-api==1.29.0;
+        python_version < \"3.10\"","opentelemetry-api>1.29.0; python_version >= \"3.10\"","opentelemetry-exporter-otlp-proto-http==1.29.0;
+        python_version < \"3.10\"","opentelemetry-exporter-otlp-proto-http>1.29.0;
+        python_version >= \"3.10\"","opentelemetry-instrumentation==0.50b0; python_version
+        < \"3.10\"","opentelemetry-instrumentation>=0.50b0; python_version >= \"3.10\"","opentelemetry-sdk==1.29.0;
+        python_version < \"3.10\"","opentelemetry-sdk>1.29.0; python_version >= \"3.10\"","opentelemetry-semantic-conventions==0.50b0;
+        python_version < \"3.10\"","opentelemetry-semantic-conventions>=0.50b0; python_version
+        >= \"3.10\"","ordered-set<5.0.0,>=4.0.0","packaging<25.0,>=21.0","psutil<6.1.0,>=5.9.8","pyyaml<7.0,>=5.3","requests<3.0.0,>=2.0.0","termcolor<2.5.0,>=2.3.0","wrapt<2.0.0,>=1.0.0"],"requires_python":">=3.9","summary":"Observability
+        and DevTool Platform for AI 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tests/crew_test.py

@@ -856,18 +856,22 @@ def test_crew_verbose_output(researcher, writer, capsys):
     )
 
     expected_strings = [
-        "\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mResearcher",
-        "\x1b[00m\n\x1b[95m## Task:\x1b[00m \x1b[92mResearch AI advancements.",
-        "\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mSenior Writer",
-        "\x1b[95m## Task:\x1b[00m \x1b[92mWrite about AI in healthcare.",
-        "\n\n\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mResearcher",
-        "\x1b[00m\n\x1b[95m## Final Answer:",
-        "\n\n\x1b[1m\x1b[95m# Agent:\x1b[00m \x1b[1m\x1b[92mSenior Writer",
-        "\x1b[00m\n\x1b[95m## Final Answer:",
+        "🤖 Agent Started",
+        "Agent: Researcher",
+        "Task: Research AI advancements.",
+        "✅ Agent Final Answer",
+        "Agent: Researcher",
+        "🤖 Agent Started",
+        "Agent: Senior Writer",
+        "Task: Write about AI in healthcare.",
+        "✅ Agent Final Answer",
+        "Agent: Senior Writer",
     ]
 
     for expected_string in expected_strings:
-        assert expected_string in filtered_output
+        assert (
+            expected_string in filtered_output
+        ), f"Expected '{expected_string}' in output, but it was not found."
 
     # Now test with verbose set to False
     crew.verbose = False
@@ -1783,12 +1787,20 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher):
     )
 
     # ── 2.  Stub out each agent’s _token_process.get_summary() ───────────────────
-    researcher_metrics = UsageMetrics(total_tokens=120, prompt_tokens=80, completion_tokens=40, successful_requests=2)
-    manager_metrics = UsageMetrics(total_tokens=30, prompt_tokens=20, completion_tokens=10, successful_requests=1)
+    researcher_metrics = UsageMetrics(
+        total_tokens=120, prompt_tokens=80, completion_tokens=40, successful_requests=2
+    )
+    manager_metrics = UsageMetrics(
+        total_tokens=30, prompt_tokens=20, completion_tokens=10, successful_requests=1
+    )
 
     # Replace the internal _token_process objects with simple mocks
-    researcher._token_process = MagicMock(get_summary=MagicMock(return_value=researcher_metrics))
-    manager._token_process = MagicMock(get_summary=MagicMock(return_value=manager_metrics))
+    researcher._token_process = MagicMock(
+        get_summary=MagicMock(return_value=researcher_metrics)
+    )
+    manager._token_process = MagicMock(
+        get_summary=MagicMock(return_value=manager_metrics)
+    )
 
     # ── 3.  Create the crew (hierarchical!) and kick it off ──────────────────────
     crew = Crew(
@@ -1799,14 +1811,32 @@ def test_hierarchical_kickoff_usage_metrics_include_manager(researcher):
     )
 
     # We don’t care about LLM output here; patch execute_sync to avoid network
-    with patch.object(Task, "execute_sync", return_value=TaskOutput(description="dummy", raw="Hello", agent=researcher.role)):
+    with patch.object(
+        Task,
+        "execute_sync",
+        return_value=TaskOutput(
+            description="dummy", raw="Hello", agent=researcher.role
+        ),
+    ):
         crew.kickoff()
 
     # ── 4.  Assert the aggregated numbers are the *sum* of both agents ───────────
-    assert crew.usage_metrics.total_tokens == researcher_metrics.total_tokens + manager_metrics.total_tokens
-    assert crew.usage_metrics.prompt_tokens == researcher_metrics.prompt_tokens + manager_metrics.prompt_tokens
-    assert crew.usage_metrics.completion_tokens == researcher_metrics.completion_tokens + manager_metrics.completion_tokens
-    assert crew.usage_metrics.successful_requests == researcher_metrics.successful_requests + manager_metrics.successful_requests
+    assert (
+        crew.usage_metrics.total_tokens
+        == researcher_metrics.total_tokens + manager_metrics.total_tokens
+    )
+    assert (
+        crew.usage_metrics.prompt_tokens
+        == researcher_metrics.prompt_tokens + manager_metrics.prompt_tokens
+    )
+    assert (
+        crew.usage_metrics.completion_tokens
+        == researcher_metrics.completion_tokens + manager_metrics.completion_tokens
+    )
+    assert (
+        crew.usage_metrics.successful_requests
+        == researcher_metrics.successful_requests + manager_metrics.successful_requests
+    )
 
 
 @pytest.mark.vcr(filter_headers=["authorization"])
@@ -4450,27 +4480,29 @@ def test_sets_parent_flow_when_inside_flow(researcher, writer):
     assert result.parent_flow is flow
 
 
-def test_reset_knowledge_with_no_crew_knowledge(researcher,writer):
+def test_reset_knowledge_with_no_crew_knowledge(researcher, writer):
     crew = Crew(
         agents=[researcher, writer],
         process=Process.sequential,
         tasks=[
             Task(description="Task 1", expected_output="output", agent=researcher),
             Task(description="Task 2", expected_output="output", agent=writer),
-        ]
+        ],
     )
 
     with pytest.raises(RuntimeError) as excinfo:
-        crew.reset_memories(command_type='knowledge')
-        
+        crew.reset_memories(command_type="knowledge")
+
         # Optionally, you can also check the error message
-    assert "Crew Knowledge and Agent Knowledge memory system is not initialized" in str(excinfo.value)  # Replace with the expected message
+    assert "Crew Knowledge and Agent Knowledge memory system is not initialized" in str(
+        excinfo.value
+    )  # Replace with the expected message
 
 
-def test_reset_knowledge_with_only_crew_knowledge(researcher,writer):
+def test_reset_knowledge_with_only_crew_knowledge(researcher, writer):
     mock_ks = MagicMock(spec=Knowledge)
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4478,14 +4510,14 @@ def test_reset_knowledge_with_only_crew_knowledge(researcher,writer):
                 Task(description="Task 1", expected_output="output", agent=researcher),
                 Task(description="Task 2", expected_output="output", agent=writer),
             ],
-            knowledge=mock_ks
+            knowledge=mock_ks,
         )
 
-        crew.reset_memories(command_type='knowledge')
+        crew.reset_memories(command_type="knowledge")
         mock_reset_agent_knowledge.assert_called_once_with([mock_ks])
 
 
-def test_reset_knowledge_with_crew_and_agent_knowledge(researcher,writer):
+def test_reset_knowledge_with_crew_and_agent_knowledge(researcher, writer):
     mock_ks_crew = MagicMock(spec=Knowledge)
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
@@ -4493,7 +4525,7 @@ def test_reset_knowledge_with_crew_and_agent_knowledge(researcher,writer):
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4501,21 +4533,23 @@ def test_reset_knowledge_with_crew_and_agent_knowledge(researcher,writer):
                 Task(description="Task 1", expected_output="output", agent=researcher),
                 Task(description="Task 2", expected_output="output", agent=writer),
             ],
-            knowledge=mock_ks_crew
+            knowledge=mock_ks_crew,
         )
 
-        crew.reset_memories(command_type='knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_crew,mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_crew, mock_ks_research, mock_ks_writer]
+        )
 
 
-def test_reset_knowledge_with_only_agent_knowledge(researcher,writer):
+def test_reset_knowledge_with_only_agent_knowledge(researcher, writer):
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
 
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4525,11 +4559,13 @@ def test_reset_knowledge_with_only_agent_knowledge(researcher,writer):
             ],
         )
 
-        crew.reset_memories(command_type='knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_research, mock_ks_writer]
+        )
 
 
-def test_reset_agent_knowledge_with_no_agent_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_no_agent_knowledge(researcher, writer):
     crew = Crew(
         agents=[researcher, writer],
         process=Process.sequential,
@@ -4540,13 +4576,15 @@ def test_reset_agent_knowledge_with_no_agent_knowledge(researcher,writer):
     )
 
     with pytest.raises(RuntimeError) as excinfo:
-        crew.reset_memories(command_type='agent_knowledge')
-    
+        crew.reset_memories(command_type="agent_knowledge")
+
     # Optionally, you can also check the error message
-    assert "Agent Knowledge memory system is not initialized" in str(excinfo.value)  # Replace with the expected message
+    assert "Agent Knowledge memory system is not initialized" in str(
+        excinfo.value
+    )  # Replace with the expected message
 
 
-def test_reset_agent_knowledge_with_only_crew_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_only_crew_knowledge(researcher, writer):
     mock_ks = MagicMock(spec=Knowledge)
 
     crew = Crew(
@@ -4556,17 +4594,19 @@ def test_reset_agent_knowledge_with_only_crew_knowledge(researcher,writer):
             Task(description="Task 1", expected_output="output", agent=researcher),
             Task(description="Task 2", expected_output="output", agent=writer),
         ],
-        knowledge=mock_ks
+        knowledge=mock_ks,
     )
 
     with pytest.raises(RuntimeError) as excinfo:
-        crew.reset_memories(command_type='agent_knowledge')
-    
+        crew.reset_memories(command_type="agent_knowledge")
+
     # Optionally, you can also check the error message
-    assert "Agent Knowledge memory system is not initialized" in str(excinfo.value)  # Replace with the expected message
+    assert "Agent Knowledge memory system is not initialized" in str(
+        excinfo.value
+    )  # Replace with the expected message
 
 
-def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher, writer):
     mock_ks_crew = MagicMock(spec=Knowledge)
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
@@ -4574,7 +4614,7 @@ def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher,writer):
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4582,21 +4622,23 @@ def test_reset_agent_knowledge_with_crew_and_agent_knowledge(researcher,writer):
                 Task(description="Task 1", expected_output="output", agent=researcher),
                 Task(description="Task 2", expected_output="output", agent=writer),
             ],
-            knowledge=mock_ks_crew
+            knowledge=mock_ks_crew,
         )
 
-        crew.reset_memories(command_type='agent_knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="agent_knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_research, mock_ks_writer]
+        )
 
 
-def test_reset_agent_knowledge_with_only_agent_knowledge(researcher,writer):
+def test_reset_agent_knowledge_with_only_agent_knowledge(researcher, writer):
     mock_ks_research = MagicMock(spec=Knowledge)
     mock_ks_writer = MagicMock(spec=Knowledge)
 
     researcher.knowledge = mock_ks_research
     writer.knowledge = mock_ks_writer
 
-    with patch.object(Crew,'reset_knowledge') as mock_reset_agent_knowledge:
+    with patch.object(Crew, "reset_knowledge") as mock_reset_agent_knowledge:
         crew = Crew(
             agents=[researcher, writer],
             process=Process.sequential,
@@ -4606,5 +4648,7 @@ def test_reset_agent_knowledge_with_only_agent_knowledge(researcher,writer):
             ],
         )
 
-        crew.reset_memories(command_type='agent_knowledge')
-        mock_reset_agent_knowledge.assert_called_once_with([mock_ks_research,mock_ks_writer])
+        crew.reset_memories(command_type="agent_knowledge")
+        mock_reset_agent_knowledge.assert_called_once_with(
+            [mock_ks_research, mock_ks_writer]
+        )