fix: possible fix for Thinking stuck

* Fix issue 2993: Prevent Flow status logs from hiding human input

- Add pause_live_updates() and resume_live_updates() methods to ConsoleFormatter
- Modify _ask_human_input() to pause Flow status updates during human input
- Add comprehensive tests for pause/resume functionality and integration
- Ensure Live session is properly managed during human input prompts
- Fix prevents Flow status logs from overwriting user input prompts

Fixes #2993

Co-Authored-By: João <joao@crewai.com>

* Fix lint: Remove unused pytest import

- Remove unused pytest import from test_console_formatter_pause_resume.py
- Fixes F401 lint error identified in CI

Co-Authored-By: João <joao@crewai.com>

---------

Co-authored-by: Devin AI <158243242+devin-ai-integration[bot]@users.noreply.github.com>
Co-authored-by: João <joao@crewai.com>

docs/concepts/cli.mdx

@@ -200,6 +200,37 @@ Deploy the crew or flow to [CrewAI Enterprise](https://app.crewai.com).
     ```
     - Reads your local project configuration.
     - Prompts you to confirm the environment variables (like `OPENAI_API_KEY`, `SERPER_API_KEY`) found locally. These will be securely stored with the deployment on the Enterprise platform. Ensure your sensitive keys are correctly configured locally (e.g., in a `.env` file) before running this.
+
+### 11. Organization Management
+
+Manage your CrewAI Enterprise organizations.
+
+```shell Terminal
+crewai org [COMMAND] [OPTIONS]
+```
+
+#### Commands:
+
+- `list`: List all organizations you belong to
+```shell Terminal
+crewai org list
+```
+
+- `current`: Display your currently active organization
+```shell Terminal
+crewai org current
+```
+
+- `switch`: Switch to a specific organization
+```shell Terminal
+crewai org switch <organization_id>
+```
+
+<Note>
+You must be authenticated to CrewAI Enterprise to use these organization management commands.
+</Note>
+
+- **Create a deployment** (continued):
     - Links the deployment to the corresponding remote GitHub repository (it usually detects this automatically).
 
 - **Deploy the Crew**: Once you are authenticated, you can deploy your crew or flow to CrewAI Enterprise.

docs/concepts/planning.mdx

@@ -29,6 +29,10 @@ my_crew = Crew(
 
 From this point on, your crew will have planning enabled, and the tasks will be planned before each iteration.
 
+<Warning>
+When planning is enabled, crewAI will use `gpt-4o-mini` as the default LLM for planning, which requires a valid OpenAI API key. Since your agents might be using different LLMs, this could cause confusion if you don't have an OpenAI API key configured or if you're experiencing unexpected behavior related to LLM API calls.
+</Warning>
+
 #### Planning LLM
 
 Now you can define the LLM that will be used to plan the tasks. 

docs/concepts/tools.mdx

@@ -32,6 +32,7 @@ The Enterprise Tools Repository includes:
 - **Customizability**: Provides the flexibility to develop custom tools or utilize existing ones, catering to the specific needs of agents.
 - **Error Handling**: Incorporates robust error handling mechanisms to ensure smooth operation.
 - **Caching Mechanism**: Features intelligent caching to optimize performance and reduce redundant operations.
+- **Asynchronous Support**: Handles both synchronous and asynchronous tools, enabling non-blocking operations.
 
 ## Using CrewAI Tools
 
@@ -177,6 +178,62 @@ class MyCustomTool(BaseTool):
         return "Tool's result"
 ```
 
+## Asynchronous Tool Support
+
+CrewAI supports asynchronous tools, allowing you to implement tools that perform non-blocking operations like network requests, file I/O, or other async operations without blocking the main execution thread.
+
+### Creating Async Tools
+
+You can create async tools in two ways:
+
+#### 1. Using the `tool` Decorator with Async Functions
+
+```python Code
+from crewai.tools import tool
+
+@tool("fetch_data_async")
+async def fetch_data_async(query: str) -> str:
+    """Asynchronously fetch data based on the query."""
+    # Simulate async operation
+    await asyncio.sleep(1)
+    return f"Data retrieved for {query}"
+```
+
+#### 2. Implementing Async Methods in Custom Tool Classes
+
+```python Code
+from crewai.tools import BaseTool
+
+class AsyncCustomTool(BaseTool):
+    name: str = "async_custom_tool"
+    description: str = "An asynchronous custom tool"
+    
+    async def _run(self, query: str = "") -> str:
+        """Asynchronously run the tool"""
+        # Your async implementation here
+        await asyncio.sleep(1)
+        return f"Processed {query} asynchronously"
+```
+
+### Using Async Tools
+
+Async tools work seamlessly in both standard Crew workflows and Flow-based workflows:
+
+```python Code
+# In standard Crew
+agent = Agent(role="researcher", tools=[async_custom_tool])
+
+# In Flow
+class MyFlow(Flow):
+    @start()
+    async def begin(self):
+        crew = Crew(agents=[agent])
+        result = await crew.kickoff_async()
+        return result
+```
+
+The CrewAI framework automatically handles the execution of both synchronous and asynchronous tools, so you don't need to worry about how to call them differently.
+
 ### Utilizing the `tool` Decorator
 
 ```python Code

docs/docs.json

@@ -9,7 +9,12 @@
   },
   "favicon": "images/favicon.svg",
   "contextual": {
-    "options": ["copy", "view", "chatgpt", "claude"]
+    "options": [
+      "copy",
+      "view",
+      "chatgpt",
+      "claude"
+    ]
   },
   "navigation": {
     "tabs": [
@@ -257,7 +262,8 @@
               "enterprise/features/tool-repository",
               "enterprise/features/webhook-streaming",
               "enterprise/features/traces",
-              "enterprise/features/hallucination-guardrail"
+              "enterprise/features/hallucination-guardrail",
+              "enterprise/features/integrations"
             ]
           },
           {

docs/enterprise/features/integrations.mdx

@@ -0,0 +1,185 @@
+---
+title: Integrations
+description: "Connected applications for your agents to take actions."
+icon: "plug"
+---
+
+## Overview
+
+Enable your agents to authenticate with any OAuth enabled provider and take actions. From Salesforce and HubSpot to Google and GitHub, we've got you covered with 16+ integrated services.
+
+<Frame>
+  ![Integrations](/images/enterprise/crew_connectors.png)
+</Frame>
+
+## Supported Integrations
+
+### **Communication & Collaboration**
+- **Gmail** - Manage emails and drafts
+- **Slack** - Workspace notifications and alerts
+- **Microsoft** - Office 365 and Teams integration
+
+### **Project Management**
+- **Jira** - Issue tracking and project management
+- **ClickUp** - Task and productivity management
+- **Asana** - Team task and project coordination
+- **Notion** - Page and database management
+- **Linear** - Software project and bug tracking
+- **GitHub** - Repository and issue management
+
+### **Customer Relationship Management**
+- **Salesforce** - CRM account and opportunity management
+- **HubSpot** - Sales pipeline and contact management
+- **Zendesk** - Customer support ticket management
+
+### **Business & Finance**
+- **Stripe** - Payment processing and customer management
+- **Shopify** - E-commerce store and product management
+
+### **Productivity & Storage**
+- **Google Sheets** - Spreadsheet data synchronization
+- **Google Calendar** - Event and schedule management
+- **Box** - File storage and document management
+
+and more to come!
+
+## Prerequisites
+
+Before using Authentication Integrations, ensure you have:
+
+- A [CrewAI Enterprise](https://app.crewai.com) account. You can get started with a free trial.
+
+
+## Setting Up Integrations
+
+### 1. Connect Your Account
+
+1. Navigate to [CrewAI Enterprise](https://app.crewai.com)
+2. Go to **Integrations** tab - https://app.crewai.com/crewai_plus/connectors
+3. Click **Connect** on your desired service from the Authentication Integrations section
+4. Complete the OAuth authentication flow
+5. Grant necessary permissions for your use case
+6. Get your Enterprise Token from your [CrewAI Enterprise](https://app.crewai.com) account page - https://app.crewai.com/crewai_plus/settings/account
+
+<Frame>
+  ![Integrations](/images/enterprise/enterprise_action_auth_token.png)
+</Frame>
+
+### 2. Install Integration Tools
+
+All you need is the latest version of `crewai-tools` package.
+
+```bash
+uv add crewai-tools
+```
+
+## Usage Examples
+
+### Basic Usage
+<Tip>
+  All the services you are authenticated into will be available as tools. So all you need to do is add the `CrewaiEnterpriseTools` to your agent and you are good to go.
+</Tip>
+
+```python
+from crewai import Agent, Task, Crew
+from crewai_tools import CrewaiEnterpriseTools
+
+# Get enterprise tools (Gmail tool will be included)
+enterprise_tools = CrewaiEnterpriseTools(
+    enterprise_token="your_enterprise_token"
+)
+# print the tools
+print(enterprise_tools)
+
+# Create an agent with Gmail capabilities
+email_agent = Agent(
+    role="Email Manager",
+    goal="Manage and organize email communications",
+    backstory="An AI assistant specialized in email management and communication.",
+    tools=[enterprise_tools]
+)
+
+# Task to send an email
+email_task = Task(
+    description="Draft and send a follow-up email to john@example.com about the project update",
+    agent=email_agent,
+    expected_output="Confirmation that email was sent successfully"
+)
+
+# Run the task
+crew = Crew(
+    agents=[email_agent],
+    tasks=[email_task]
+)
+
+# Run the crew
+crew.kickoff()
+```
+
+### Filtering Tools
+
+```python
+from crewai_tools import CrewaiEnterpriseTools
+
+enterprise_tools = CrewaiEnterpriseTools(
+    actions_list=["gmail_find_email"] # only gmail_find_email tool will be available
+)
+gmail_tool = enterprise_tools[0]
+
+gmail_agent = Agent(
+    role="Gmail Manager",
+    goal="Manage gmail communications and notifications",
+    backstory="An AI assistant that helps coordinate gmail communications.",
+    tools=[gmail_tool]
+)
+
+notification_task = Task(
+    description="Find the email from john@example.com",
+    agent=gmail_agent,
+    expected_output="Email found from john@example.com"
+)
+
+# Run the task
+crew = Crew(
+    agents=[slack_agent],
+    tasks=[notification_task]
+)
+```
+
+## Best Practices
+
+### Security
+- **Principle of Least Privilege**: Only grant the minimum permissions required for your agents' tasks
+- **Regular Audits**: Periodically review connected integrations and their permissions
+- **Secure Credentials**: Never hardcode credentials; use CrewAI's secure authentication flow
+
+
+### Filtering Tools
+On a deployed crew, you can specify which actions are avialbel for each integration from the settings page of the service you connected to.
+
+<Frame>
+  ![Integrations](/images/enterprise/filtering_enterprise_action_tools.png)
+</Frame>
+
+
+### Scoped Deployments for multi user organizations
+You can deploy your crew and scope each integration to a specific user. For example, a crew that connects to google can use a specific user's gmail account.
+
+<Tip>
+  This is useful for multi user organizations where you want to scope the integration to a specific user.
+</Tip>
+
+
+Use the `user_bearer_token` to scope the integration to a specific user so that when the crew is kicked off, it will use the user's bearer token to authenticate with the integration. If user is not logged in, then the crew will not use any connected integrations. Use the default bearer token to authenticate with the integrations thats deployed with the crew.
+
+<Frame>
+  ![Integrations](/images/enterprise/user_bearer_token.png)
+</Frame>
+
+
+
+### Getting Help
+
+<Card title="Need Help?" icon="headset" href="mailto:support@crewai.com">
+  Contact our support team for assistance with integration setup or troubleshooting.
+</Card>

docs/guides/flows/mastering-flow-state.mdx

@@ -277,22 +277,23 @@ This pattern allows you to combine direct data passing with state updates for ma
 
 One of CrewAI's most powerful features is the ability to persist flow state across executions. This enables workflows that can be paused, resumed, and even recovered after failures.
 
-### The @persist Decorator
+### The @persist() Decorator
 
-The `@persist` decorator automates state persistence, saving your flow's state at key points in execution.
+The `@persist()` decorator automates state persistence, saving your flow's state at key points in execution.
 
 #### Class-Level Persistence
 
-When applied at the class level, `@persist` saves state after every method execution:
+When applied at the class level, `@persist()` saves state after every method execution:
 
 ```python
-from crewai.flow.flow import Flow, listen, persist, start
+from crewai.flow.flow import Flow, listen, start
+from crewai.flow.persistence import persist
 from pydantic import BaseModel
 
 class CounterState(BaseModel):
     value: int = 0
 
-@persist  # Apply to the entire flow class
+@persist()  # Apply to the entire flow class
 class PersistentCounterFlow(Flow[CounterState]):
     @start()
     def increment(self):
@@ -319,10 +320,11 @@ print(f"Second run result: {result2}")  # Will be higher due to persisted state
 
 #### Method-Level Persistence
 
-For more granular control, you can apply `@persist` to specific methods:
+For more granular control, you can apply `@persist()` to specific methods:
 
 ```python
-from crewai.flow.flow import Flow, listen, persist, start
+from crewai.flow.flow import Flow, listen, start
+from crewai.flow.persistence import persist
 
 class SelectivePersistFlow(Flow):
     @start()
@@ -330,7 +332,7 @@ class SelectivePersistFlow(Flow):
         self.state["count"] = 1
         return "First step"
 
-    @persist  # Only persist after this method
+    @persist()  # Only persist after this method
     @listen(first_step)
     def important_step(self, prev_result):
         self.state["count"] += 1

docs/installation.mdx

@@ -22,7 +22,7 @@ Watch this video tutorial for a step-by-step demonstration of the installation p
 <Note>
   **Python Version Requirements**
 
-  CrewAI requires `Python >=3.10 and <=3.13`. Here's how to check your version:
+  CrewAI requires `Python >=3.10 and <3.14`. Here's how to check your version:
   ```bash
   python3 --version
   ```

src/crewai/agent.py

@@ -1,6 +1,6 @@
 import shutil
 import subprocess
-from typing import Any, Dict, List, Literal, Optional, Sequence, Type, Union
+from typing import Any, Callable, Dict, List, Literal, Optional, Sequence, Tuple, Type, Union
 
 from pydantic import Field, InstanceOf, PrivateAttr, model_validator
 
@@ -155,6 +155,13 @@ class Agent(BaseAgent):
         default=None,
         description="The Agent's role to be used from your repository.",
     )
+    guardrail: Optional[Union[Callable[[Any], 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"
+    )
 
     @model_validator(mode="before")
     def validate_from_repository(cls, v):
@@ -780,6 +787,8 @@ class Agent(BaseAgent):
             response_format=response_format,
             i18n=self.i18n,
             original_agent=self,
+            guardrail=self.guardrail,
+            guardrail_max_retries=self.guardrail_max_retries,
         )
 
         return lite_agent.kickoff(messages)

src/crewai/agents/agent_builder/base_agent_executor_mixin.py

@@ -7,6 +7,7 @@ from crewai.utilities import I18N
 from crewai.utilities.converter import ConverterError
 from crewai.utilities.evaluators.task_evaluator import TaskEvaluator
 from crewai.utilities.printer import Printer
+from crewai.utilities.events.event_listener import event_listener
 
 if TYPE_CHECKING:
     from crewai.agents.agent_builder.base_agent import BaseAgent
@@ -125,33 +126,38 @@ class CrewAgentExecutorMixin:
 
     def _ask_human_input(self, final_answer: str) -> str:
         """Prompt human input with mode-appropriate messaging."""
-        self._printer.print(
-            content=f"\033[1m\033[95m ## Final Result:\033[00m \033[92m{final_answer}\033[00m"
-        )
-
-        # Training mode prompt (single iteration)
-        if self.crew and getattr(self.crew, "_train", False):
-            prompt = (
-                "\n\n=====\n"
-                "## TRAINING MODE: Provide feedback to improve the agent's performance.\n"
-                "This will be used to train better versions of the agent.\n"
-                "Please provide detailed feedback about the result quality and reasoning process.\n"
-                "=====\n"
-            )
-        # Regular human-in-the-loop prompt (multiple iterations)
-        else:
-            prompt = (
-                "\n\n=====\n"
-                "## HUMAN FEEDBACK: Provide feedback on the Final Result and Agent's actions.\n"
-                "Please follow these guidelines:\n"
-                " - If you are happy with the result, simply hit Enter without typing anything.\n"
-                " - Otherwise, provide specific improvement requests.\n"
-                " - You can provide multiple rounds of feedback until satisfied.\n"
-                "=====\n"
+        event_listener.formatter.pause_live_updates()
+        
+        try:
+            self._printer.print(
+                content=f"\033[1m\033[95m ## Final Result:\033[00m \033[92m{final_answer}\033[00m"
             )
 
-        self._printer.print(content=prompt, color="bold_yellow")
-        response = input()
-        if response.strip() != "":
-            self._printer.print(content="\nProcessing your feedback...", color="cyan")
-        return response
+            # Training mode prompt (single iteration)
+            if self.crew and getattr(self.crew, "_train", False):
+                prompt = (
+                    "\n\n=====\n"
+                    "## TRAINING MODE: Provide feedback to improve the agent's performance.\n"
+                    "This will be used to train better versions of the agent.\n"
+                    "Please provide detailed feedback about the result quality and reasoning process.\n"
+                    "=====\n"
+                )
+            # Regular human-in-the-loop prompt (multiple iterations)
+            else:
+                prompt = (
+                    "\n\n=====\n"
+                    "## HUMAN FEEDBACK: Provide feedback on the Final Result and Agent's actions.\n"
+                    "Please follow these guidelines:\n"
+                    " - If you are happy with the result, simply hit Enter without typing anything.\n"
+                    " - Otherwise, provide specific improvement requests.\n"
+                    " - You can provide multiple rounds of feedback until satisfied.\n"
+                    "=====\n"
+                )
+
+            self._printer.print(content=prompt, color="bold_yellow")
+            response = input()
+            if response.strip() != "":
+                self._printer.print(content="\nProcessing your feedback...", color="cyan")
+            return response
+        finally:
+            event_listener.formatter.resume_live_updates()

src/crewai/cli/organization/main.py

@@ -1,6 +1,7 @@
 from rich.console import Console
 from rich.table import Table
 
+from requests import HTTPError
 from crewai.cli.command import BaseCommand, PlusAPIMixin
 from crewai.cli.config import Settings
 
@@ -16,7 +17,7 @@ class OrganizationCommand(BaseCommand, PlusAPIMixin):
             response = self.plus_api_client.get_organizations()
             response.raise_for_status()
             orgs = response.json()
-            
+
             if not orgs:
                 console.print("You don't belong to any organizations yet.", style="yellow")
                 return
@@ -26,8 +27,14 @@ class OrganizationCommand(BaseCommand, PlusAPIMixin):
             table.add_column("ID", style="green")
             for org in orgs:
                 table.add_row(org["name"], org["uuid"])
-            
+
             console.print(table)
+        except HTTPError as e:
+            if e.response.status_code == 401:
+                console.print("You are not logged in to any organization. Use 'crewai login' to login.", style="bold red")
+                return
+            console.print(f"Failed to retrieve organization list: {str(e)}", style="bold red")
+            raise SystemExit(1)
         except Exception as e:
             console.print(f"Failed to retrieve organization list: {str(e)}", style="bold red")
             raise SystemExit(1)
@@ -37,18 +44,24 @@ class OrganizationCommand(BaseCommand, PlusAPIMixin):
             response = self.plus_api_client.get_organizations()
             response.raise_for_status()
             orgs = response.json()
-            
+
             org = next((o for o in orgs if o["uuid"] == org_id), None)
             if not org:
                 console.print(f"Organization with id '{org_id}' not found.", style="bold red")
                 return
-            
+
             settings = Settings()
             settings.org_name = org["name"]
             settings.org_uuid = org["uuid"]
             settings.dump()
-            
+
             console.print(f"Successfully switched to {org['name']} ({org['uuid']})", style="bold green")
+        except HTTPError as e:
+            if e.response.status_code == 401:
+                console.print("You are not logged in to any organization. Use 'crewai login' to login.", style="bold red")
+                return
+            console.print(f"Failed to retrieve organization list: {str(e)}", style="bold red")
+            raise SystemExit(1)
         except Exception as e:
             console.print(f"Failed to switch organization: {str(e)}", style="bold red")
             raise SystemExit(1)

src/crewai/cli/tools/main.py

@@ -91,6 +91,7 @@ class ToolCommand(BaseCommand, PlusAPIMixin):
             console.print(
                 f"[green]Found these tools to publish: {', '.join([e['name'] for e in available_exports])}[/green]"
             )
+        self._print_current_organization()
 
         with tempfile.TemporaryDirectory() as temp_build_dir:
             subprocess.run(
@@ -136,6 +137,7 @@ class ToolCommand(BaseCommand, PlusAPIMixin):
         )
 
     def install(self, handle: str):
+        self._print_current_organization()
         get_response = self.plus_api_client.get_tool(handle)
 
         if get_response.status_code == 404:
@@ -182,7 +184,7 @@ class ToolCommand(BaseCommand, PlusAPIMixin):
         settings.dump()
 
         console.print(
-            "Successfully authenticated to the tool repository.", style="bold green"
+            f"Successfully authenticated to the tool repository as {settings.org_name} ({settings.org_uuid}).", style="bold green"
         )
 
     def _add_package(self, tool_details: dict[str, Any]):
@@ -240,3 +242,10 @@ class ToolCommand(BaseCommand, PlusAPIMixin):
         )
 
         return env
+
+    def _print_current_organization(self):
+        settings = Settings()
+        if settings.org_uuid:
+            console.print(f"Current organization: {settings.org_name} ({settings.org_uuid})", style="bold blue")
+        else:
+            console.print("No organization currently set. We recommend setting one before using: `crewai org switch <org_id>` command.", style="yellow")

src/crewai/crew.py

@@ -655,8 +655,6 @@ class Crew(FlowTrackable, BaseModel):
             if self.planning:
                 self._handle_crew_planning()
 
-            metrics: List[UsageMetrics] = []
-
             if self.process == Process.sequential:
                 result = self._run_sequential_process()
             elif self.process == Process.hierarchical:
@@ -669,11 +667,8 @@ class Crew(FlowTrackable, BaseModel):
             for after_callback in self.after_kickoff_callbacks:
                 result = after_callback(result)
 
-            metrics += [agent._token_process.get_summary() for agent in self.agents]
+            self.usage_metrics = self.calculate_usage_metrics()
 
-            self.usage_metrics = UsageMetrics()
-            for metric in metrics:
-                self.usage_metrics.add_usage_metrics(metric)
             return result
         except Exception as e:
             crewai_event_bus.emit(

src/crewai/lite_agent.py

@@ -1,9 +1,14 @@
 import asyncio
+import inspect
 import uuid
-from datetime import datetime
-from typing import Any, Callable, Dict, List, Optional, Type, Union, cast
+from typing import Any, Callable, Dict, List, Optional, Tuple, Type, Union, cast, get_args, get_origin
 
-from pydantic import BaseModel, Field, InstanceOf, PrivateAttr, model_validator
+try:
+    from typing import Self
+except ImportError:
+    from typing_extensions import Self
+
+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
@@ -18,6 +23,7 @@ from crewai.llm import LLM
 from crewai.tools.base_tool import BaseTool
 from crewai.tools.structured_tool import CrewStructuredTool
 from crewai.utilities import I18N
+from crewai.utilities.guardrail import process_guardrail
 from crewai.utilities.agent_utils import (
     enforce_rpm_limit,
     format_message_for_llm,
@@ -35,7 +41,7 @@ from crewai.utilities.agent_utils import (
     render_text_description_and_args,
     show_agent_logs,
 )
-from crewai.utilities.converter import convert_to_model, generate_model_description
+from crewai.utilities.converter import generate_model_description
 from crewai.utilities.events.agent_events import (
     LiteAgentExecutionCompletedEvent,
     LiteAgentExecutionErrorEvent,
@@ -146,6 +152,15 @@ class LiteAgent(FlowTrackable, BaseModel):
         default=[], description="Callbacks to be used for the agent"
     )
 
+    # 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_max_retries: int = Field(
+        default=3, description="Maximum number of retries when guardrail fails"
+    )
+
     # State and Results
     tools_results: List[Dict[str, Any]] = Field(
         default=[], description="Results of the tools used by the agent."
@@ -163,6 +178,9 @@ class LiteAgent(FlowTrackable, BaseModel):
     _messages: List[Dict[str, str]] = PrivateAttr(default_factory=list)
     _iterations: int = PrivateAttr(default=0)
     _printer: Printer = PrivateAttr(default_factory=Printer)
+    _guardrail: Optional[Callable] = PrivateAttr(default=None)
+    _guardrail_retry_count: int = PrivateAttr(default=0)
+
 
     @model_validator(mode="after")
     def setup_llm(self):
@@ -184,6 +202,60 @@ class LiteAgent(FlowTrackable, BaseModel):
 
         return self
 
+    @model_validator(mode="after")
+    def ensure_guardrail_is_callable(self) -> Self:
+        if callable(self.guardrail):
+            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
+            )
+
+        return self
+
+    @field_validator("guardrail", mode="before")
+    @classmethod
+    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.
+        If v is a string, return it as is.
+
+        Args:
+            v: The guardrail function to validate or a string describing the guardrail task
+
+        Returns:
+            The validated guardrail function or a string describing the guardrail task
+        """
+        if v is None or isinstance(v, str):
+            return v
+
+        # Check function signature
+        sig = inspect.signature(v)
+        if len(sig.parameters) != 1:
+            raise ValueError(
+                f"Guardrail function must accept exactly 1 parameter (LiteAgentOutput), "
+                f"but it accepts {len(sig.parameters)}"
+            )
+
+        # Check return annotation if present
+        if sig.return_annotation is not sig.empty:
+            if sig.return_annotation == Tuple[bool, Any]:
+                return v
+
+            origin = get_origin(sig.return_annotation)
+            args = get_args(sig.return_annotation)
+
+            if origin is not tuple or len(args) != 2 or args[0] is not bool:
+                raise ValueError(
+                    "If return type is annotated, it must be Tuple[bool, Any]"
+                )
+
+        return v
+
     @property
     def key(self) -> str:
         """Get the unique key for this agent instance."""
@@ -223,54 +295,7 @@ class LiteAgent(FlowTrackable, BaseModel):
             # Format messages for the LLM
             self._messages = self._format_messages(messages)
 
-            # Emit event for agent execution start
-            crewai_event_bus.emit(
-                self,
-                event=LiteAgentExecutionStartedEvent(
-                    agent_info=agent_info,
-                    tools=self._parsed_tools,
-                    messages=messages,
-                ),
-            )
-
-            # Execute the agent using invoke loop
-            agent_finish = self._invoke_loop()
-            formatted_result: Optional[BaseModel] = None
-            if self.response_format:
-                try:
-                    # Cast to BaseModel to ensure type safety
-                    result = self.response_format.model_validate_json(
-                        agent_finish.output
-                    )
-                    if isinstance(result, BaseModel):
-                        formatted_result = result
-                except Exception as e:
-                    self._printer.print(
-                        content=f"Failed to parse output into response format: {str(e)}",
-                        color="yellow",
-                    )
-
-            # Calculate token usage metrics
-            usage_metrics = self._token_process.get_summary()
-
-            # Create output
-            output = LiteAgentOutput(
-                raw=agent_finish.output,
-                pydantic=formatted_result,
-                agent_role=self.role,
-                usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
-            )
-
-            # Emit completion event
-            crewai_event_bus.emit(
-                self,
-                event=LiteAgentExecutionCompletedEvent(
-                    agent_info=agent_info,
-                    output=agent_finish.output,
-                ),
-            )
-
-            return output
+            return self._execute_core(agent_info=agent_info)
 
         except Exception as e:
             self._printer.print(
@@ -288,6 +313,94 @@ class LiteAgent(FlowTrackable, BaseModel):
             )
             raise e
 
+    def _execute_core(self, agent_info: Dict[str, Any]) -> LiteAgentOutput:
+        # Emit event for agent execution start
+        crewai_event_bus.emit(
+            self,
+            event=LiteAgentExecutionStartedEvent(
+                agent_info=agent_info,
+                tools=self._parsed_tools,
+                messages=self._messages,
+            ),
+        )
+
+        # Execute the agent using invoke loop
+        agent_finish = self._invoke_loop()
+        formatted_result: Optional[BaseModel] = None
+        if self.response_format:
+            try:
+                # Cast to BaseModel to ensure type safety
+                result = self.response_format.model_validate_json(
+                    agent_finish.output
+                )
+                if isinstance(result, BaseModel):
+                    formatted_result = result
+            except Exception as e:
+                self._printer.print(
+                    content=f"Failed to parse output into response format: {str(e)}",
+                    color="yellow",
+                )
+
+        # Calculate token usage metrics
+        usage_metrics = self._token_process.get_summary()
+
+        # Create output
+        output = LiteAgentOutput(
+            raw=agent_finish.output,
+            pydantic=formatted_result,
+            agent_role=self.role,
+            usage_metrics=usage_metrics.model_dump() if usage_metrics else None,
+        )
+
+        # Process guardrail if set
+        if self._guardrail is not None:
+            guardrail_result = process_guardrail(
+                output=output,
+                guardrail=self._guardrail,
+                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}"
+                        )
+                self._guardrail_retry_count += 1
+                if self.verbose:
+                    self._printer.print(
+                        f"Guardrail failed. Retrying ({self._guardrail_retry_count}/{self.guardrail_max_retries})..."
+                        f"\n{guardrail_result.error}"
+                    )
+
+                self._messages.append({
+                    "role": "user",
+                    "content": guardrail_result.error or "Guardrail validation failed"
+                })
+
+                return self._execute_core(agent_info=agent_info)
+
+            # Apply guardrail result if available
+            if guardrail_result.result is not None:
+                if isinstance(guardrail_result.result, str):
+                    output.raw = guardrail_result.result
+                elif isinstance(guardrail_result.result, BaseModel):
+                    output.pydantic = guardrail_result.result
+
+            usage_metrics = self._token_process.get_summary()
+            output.usage_metrics = usage_metrics.model_dump() if usage_metrics else None
+
+        # Emit completion event
+        crewai_event_bus.emit(
+            self,
+            event=LiteAgentExecutionCompletedEvent(
+                agent_info=agent_info,
+                output=agent_finish.output,
+            ),
+        )
+
+        return output
+
     async def kickoff_async(
         self, messages: Union[str, List[Dict[str, str]]]
     ) -> LiteAgentOutput:

src/crewai/task.py

@@ -35,12 +35,12 @@ from pydantic_core import PydanticCustomError
 
 from crewai.agents.agent_builder.base_agent import BaseAgent
 from crewai.security import Fingerprint, SecurityConfig
-from crewai.tasks.guardrail_result import GuardrailResult
 from crewai.tasks.output_format import OutputFormat
 from crewai.tasks.task_output import TaskOutput
 from crewai.tools.base_tool import BaseTool
 from crewai.utilities.config import process_config
 from crewai.utilities.constants import NOT_SPECIFIED
+from crewai.utilities.guardrail import process_guardrail, GuardrailResult
 from crewai.utilities.converter import Converter, convert_to_model
 from crewai.utilities.events import (
     TaskCompletedEvent,
@@ -431,7 +431,11 @@ class Task(BaseModel):
             )
 
             if self._guardrail:
-                guardrail_result = self._process_guardrail(task_output)
+                guardrail_result = process_guardrail(
+                    output=task_output,
+                    guardrail=self._guardrail,
+                    retry_count=self.retry_count
+                )
                 if not guardrail_result.success:
                     if self.retry_count >= self.max_retries:
                         raise Exception(
@@ -527,10 +531,10 @@ class Task(BaseModel):
 
     def prompt(self) -> str:
         """Generates the task prompt with optional markdown formatting.
-        
+
         When the markdown attribute is True, instructions for formatting the
         response in Markdown syntax will be added to the prompt.
-        
+
         Returns:
             str: The formatted prompt string containing the task description,
                  expected output, and optional markdown formatting instructions.
@@ -541,7 +545,7 @@ class Task(BaseModel):
             expected_output=self.expected_output
         )
         tasks_slices = [self.description, output]
-        
+
         if self.markdown:
             markdown_instruction = """Your final answer MUST be formatted in Markdown syntax.
 Follow these guidelines:

src/crewai/telemetry/telemetry.py

@@ -8,7 +8,7 @@ import platform
 import warnings
 from contextlib import contextmanager
 from importlib.metadata import version
-from typing import TYPE_CHECKING, Any, Optional
+from typing import TYPE_CHECKING, Any, Callable, Optional
 import threading
 
 from opentelemetry import trace
@@ -73,11 +73,16 @@ class Telemetry:
             with cls._lock:
                 if cls._instance is None:
                     cls._instance = super(Telemetry, cls).__new__(cls)
+                    cls._instance._initialized = False
         return cls._instance
 
     def __init__(self) -> None:
+        if hasattr(self, '_initialized') and self._initialized:
+            return
+        
         self.ready: bool = False
         self.trace_set: bool = False
+        self._initialized: bool = True
 
         if self._is_telemetry_disabled():
             return
@@ -113,6 +118,10 @@ class Telemetry:
             or os.getenv("CREWAI_DISABLE_TELEMETRY", "false").lower() == "true"
         )
 
+    def _should_execute_telemetry(self) -> bool:
+        """Check if telemetry operations should be executed."""
+        return self.ready and not self._is_telemetry_disabled()
+
     def set_tracer(self):
         if self.ready and not self.trace_set:
             try:
@@ -123,8 +132,9 @@ class Telemetry:
                 self.ready = False
                 self.trace_set = False
 
-    def _safe_telemetry_operation(self, operation):
-        if not self.ready:
+    def _safe_telemetry_operation(self, operation: Callable[[], None]) -> None:
+        """Execute telemetry operation safely, checking both readiness and environment variables."""
+        if not self._should_execute_telemetry():
             return
         try:
             operation()
@@ -423,7 +433,8 @@ class Telemetry:
 
             return span
 
-        return self._safe_telemetry_operation(operation)
+        self._safe_telemetry_operation(operation)
+        return None
 
     def task_ended(self, span: Span, task: Task, crew: Crew):
         """Records the completion of a task execution in a crew.
@@ -773,7 +784,8 @@ class Telemetry:
             return span
 
         if crew.share_crew:
-            return self._safe_telemetry_operation(operation)
+            self._safe_telemetry_operation(operation)
+            return operation()
         return None
 
     def end_crew(self, crew, final_string_output):

src/crewai/tools/base_tool.py

@@ -64,7 +64,7 @@ class BaseTool(BaseModel, ABC):
                 },
             },
         )
-        
+
     @field_validator("max_usage_count", mode="before")
     @classmethod
     def validate_max_usage_count(cls, v: int | None) -> int | None:
@@ -88,11 +88,11 @@ class BaseTool(BaseModel, ABC):
         # If _run is async, we safely run it
         if asyncio.iscoroutine(result):
             result = asyncio.run(result)
-            
+
         self.current_usage_count += 1
-        
+
         return result
-        
+
     def reset_usage_count(self) -> None:
         """Reset the current usage count to zero."""
         self.current_usage_count = 0
@@ -279,7 +279,7 @@ def to_langchain(
 def tool(*args, result_as_answer: bool = False, max_usage_count: int | None = None) -> Callable:
     """
     Decorator to create a tool from a function.
-    
+
     Args:
         *args: Positional arguments, either the function to decorate or the tool name.
         result_as_answer: Flag to indicate if the tool result should be used as the final agent answer.

src/crewai/tools/structured_tool.py

@@ -1,5 +1,7 @@
 from __future__ import annotations
 
+import asyncio
+
 import inspect
 import textwrap
 from typing import Any, Callable, Optional, Union, get_type_hints
@@ -239,7 +241,17 @@ class CrewStructuredTool:
     ) -> Any:
         """Main method for tool execution."""
         parsed_args = self._parse_args(input)
-        return self.func(**parsed_args, **kwargs)
+
+        if inspect.iscoroutinefunction(self.func):
+            result = asyncio.run(self.func(**parsed_args, **kwargs))
+            return result
+
+        result = self.func(**parsed_args, **kwargs)
+
+        if asyncio.iscoroutine(result):
+            return asyncio.run(result)
+
+        return result
 
     @property
     def args(self) -> dict:

src/crewai/utilities/agent_utils.py

@@ -20,7 +20,10 @@ from crewai.utilities.errors import AgentRepositoryError
 from crewai.utilities.exceptions.context_window_exceeding_exception import (
     LLMContextLengthExceededException,
 )
+from rich.console import Console
+from crewai.cli.config import Settings
 
+console = Console()
 
 def parse_tools(tools: List[BaseTool]) -> List[CrewStructuredTool]:
     """Parse tools to be used for the task."""
@@ -435,6 +438,13 @@ def show_agent_logs(
             )
 
 
+def _print_current_organization():
+    settings = Settings()
+    if settings.org_uuid:
+        console.print(f"Fetching agent from organization: {settings.org_name} ({settings.org_uuid})", style="bold blue")
+    else:
+        console.print("No organization currently set. We recommend setting one before using: `crewai org switch <org_id>` command.", style="yellow")
+
 def load_agent_from_repository(from_repository: str) -> Dict[str, Any]:
     attributes: Dict[str, Any] = {}
     if from_repository:
@@ -444,15 +454,18 @@ def load_agent_from_repository(from_repository: str) -> Dict[str, Any]:
         from crewai.cli.plus_api import PlusAPI
 
         client = PlusAPI(api_key=get_auth_token())
+        _print_current_organization()
         response = client.get_agent(from_repository)
         if response.status_code == 404:
             raise AgentRepositoryError(
-                f"Agent {from_repository} does not exist, make sure the name is correct or the agent is available on your organization"
+                f"Agent {from_repository} does not exist, make sure the name is correct or the agent is available on your organization."
+                f"\nIf you are using the wrong organization, switch to the correct one using `crewai org switch <org_id>` command.",
             )
 
         if response.status_code != 200:
             raise AgentRepositoryError(
                 f"Agent {from_repository} could not be loaded: {response.text}"
+                f"\nIf you are using the wrong organization, switch to the correct one using `crewai org switch <org_id>` command.",
             )
 
         agent = response.json()

src/crewai/utilities/events/event_listener.py

@@ -326,10 +326,14 @@ class EventListener(BaseEventListener):
 
         @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):

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

@@ -17,6 +17,7 @@ class ConsoleFormatter:
     current_lite_agent_branch: Optional[Tree] = None
     tool_usage_counts: Dict[str, int] = {}
     current_reasoning_branch: Optional[Tree] = None  # Track reasoning status
+    _live_paused: bool = False
     current_llm_tool_tree: Optional[Tree] = None
 
     def __init__(self, verbose: bool = False):
@@ -119,6 +120,19 @@ class ConsoleFormatter:
         # Finally, pass through to the regular Console.print implementation
         self.console.print(*args, **kwargs)
 
+    def pause_live_updates(self) -> None:
+        """Pause Live session updates to allow for human input without interference."""
+        if not self._live_paused:
+            if self._live:
+                self._live.stop()
+                self._live = None
+            self._live_paused = True
+
+    def resume_live_updates(self) -> None:
+        """Resume Live session updates after human input is complete."""
+        if self._live_paused:
+            self._live_paused = False
+
     def print_panel(
         self, content: Text, title: str, style: str = "blue", is_flow: bool = False
     ) -> None:
@@ -611,14 +625,22 @@ 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,
@@ -627,7 +649,7 @@ 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
@@ -635,23 +657,47 @@ 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:
@@ -668,9 +714,36 @@ 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()

src/crewai/utilities/guardrail.py

@@ -1,15 +1,7 @@
-"""
-Module for handling task guardrail validation results.
-
-This module provides the GuardrailResult class which standardizes
-the way task guardrails return their validation results.
-"""
-
-from typing import Any, Optional, Tuple, Union
+from typing import Any, Callable, Optional, Tuple, Union
 
 from pydantic import BaseModel, field_validator
 
-
 class GuardrailResult(BaseModel):
     """Result from a task guardrail execution.
 
@@ -54,3 +46,48 @@ class GuardrailResult(BaseModel):
             result=data if success else None,
             error=data if not success else None
         )
+
+
+def process_guardrail(output: Any, guardrail: Callable, retry_count: int) -> GuardrailResult:
+    """Process the guardrail for the agent output.
+
+    Args:
+        output: The output to validate with the guardrail
+
+    Returns:
+        GuardrailResult: The result of the guardrail validation
+    """
+    from crewai.task import TaskOutput
+    from crewai.lite_agent import LiteAgentOutput
+
+    assert isinstance(output, TaskOutput) or isinstance(output, LiteAgentOutput), "Output must be a TaskOutput or LiteAgentOutput"
+
+    assert guardrail is not None
+
+    from crewai.utilities.events import (
+        LLMGuardrailCompletedEvent,
+        LLMGuardrailStartedEvent,
+    )
+    from crewai.utilities.events.crewai_event_bus import crewai_event_bus
+
+    crewai_event_bus.emit(
+        None,
+        LLMGuardrailStartedEvent(
+            guardrail=guardrail, retry_count=retry_count
+        ),
+    )
+
+    result = guardrail(output)
+    guardrail_result = GuardrailResult.from_tuple(result)
+
+    crewai_event_bus.emit(
+        None,
+        LLMGuardrailCompletedEvent(
+            success=guardrail_result.success,
+            result=guardrail_result.result,
+            error=guardrail_result.error,
+            retry_count=retry_count,
+        ),
+    )
+
+    return guardrail_result

tests/agent_test.py

@@ -2126,3 +2126,60 @@ def test_agent_from_repository_agent_not_found(mock_get_agent, mock_get_auth_tok
         match="Agent test_agent does not exist, make sure the name is correct or the agent is available on your organization",
     ):
         Agent(from_repository="test_agent")
+
+
+@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):
+    mock_settings_instance = MagicMock()
+    mock_settings_instance.org_uuid = "test-org-uuid"
+    mock_settings_instance.org_name = "Test Organization"
+    mock_settings.return_value = mock_settings_instance
+
+    mock_get_response = MagicMock()
+    mock_get_response.status_code = 200
+    mock_get_response.json.return_value = {
+        "role": "test role",
+        "goal": "test goal",
+        "backstory": "test backstory",
+        "tools": []
+    }
+    mock_get_agent.return_value = mock_get_response
+
+    agent = Agent(from_repository="test_agent")
+
+    mock_console.print.assert_any_call(
+        "Fetching agent from organization: Test Organization (test-org-uuid)",
+        style="bold blue"
+    )
+
+    assert agent.role == "test role"
+    assert agent.goal == "test goal"
+    assert agent.backstory == "test backstory"
+
+
+@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):
+    mock_settings_instance = MagicMock()
+    mock_settings_instance.org_uuid = None
+    mock_settings_instance.org_name = None
+    mock_settings.return_value = mock_settings_instance
+
+    mock_get_response = MagicMock()
+    mock_get_response.status_code = 401
+    mock_get_response.text = "Unauthorized access"
+    mock_get_agent.return_value = mock_get_response
+
+    with pytest.raises(
+        AgentRepositoryError,
+        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"
+    )

tests/cassettes/test_agent_output_when_guardrail_returns_base_model.yaml

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tests/cassettes/test_guardrail_is_called_using_callable.yaml

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tests/cassettes/test_guardrail_is_called_using_string.yaml

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+      list is compiled based on their current form, past performances, and contributions
+      to their respective teams in both domestic and international competitions. Player
+      rankings can vary based on personal opinion and specific criteria used for evaluation,
+      but these players have consistently been regarded as some of the best in the
+      world as of October 2023."}, {"role": "user", "content": "You are not allowed
+      to include Brazilian players"}, {"role": "assistant", "content": "Thought: I
+      now can give a great answer  \nFinal Answer: Here is an updated list of the
+      top 10 best soccer players in the world as of October 2023, excluding Brazilian
+      players:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), Ligue 1 titles, multiple domestic cups.\n\n3. **Erling Haaland
+      (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power, speed,
+      goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA Champions
+      League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne (Manchester
+      City)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision, creativity.\n   -
+      Achievements: Multiple Premier League titles, FA Cups, UEFA Champions League
+      winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   - Position: Forward\n   -
+      Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   - Achievements:
+      2022 Ballon d''Or winner, multiple Champions Leagues with Real Madrid.\n\n6.
+      **Robert Lewandowski (FC Barcelona)**\n   - Position: Forward\n   - Key Attributes:
+      Finishing, positioning, aerial ability.\n   - Achievements: FIFA Best Men''s
+      Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7. **Mohamed
+      Salah (Liverpool)**\n   - Position: Forward\n   - Key Attributes: Speed, finishing,
+      dribbling.\n   - Achievements: Premier League champion, FA Cup, UEFA Champions
+      League winner.\n\n8. **Vin\u00edcius J\u00fanior (Real Madrid)**\n   - Position:
+      Forward\n   - Key Attributes: Speed, dribbling, creativity.\n   - Achievements:
+      UEFA Champions League winner (2022), La Liga champion (2023).\n\n9. **Luka Modri\u0107
+      (Real Madrid)**\n   - Position: Midfielder\n   - Key Attributes: Passing, vision,
+      tactical intelligence.\n   - Achievements: Multiple Champions League titles,
+      Ballon d''Or winner (2018).\n\n10. **Harry Kane (Bayern Munich)**\n    - Position:
+      Forward\n    - Key Attributes: Goal-scoring, technique, playmaking.\n    - Achievements:
+      Golden Boot winner, Premier League titles, UEFA European Championship runner-up.\n\nThis
+      list has been adjusted to exclude Brazilian players and focuses on those who
+      have made significant impacts in their clubs and on the international stage
+      as of October 2023. Each player is recognized for their exceptional skills,
+      performances, and achievements."}, {"role": "user", "content": "You are not
+      allowed to include Brazilian players"}, {"role": "assistant", "content": "Thought:
+      I now can give a great answer  \nFinal Answer: Here is the revised list of the
+      top 10 best soccer players in the world as of October 2023, explicitly excluding
+      Brazilian players:\n\n1. **Lionel Messi (Inter Miami CF)**\n   - Position: Forward\n   -
+      Key Attributes: Dribbling, vision, goal-scoring ability.\n   - Achievements:
+      Multiple Ballon d''Or winner, Copa America champion, World Cup champion (2022).\n\n2.
+      **Kylian Mbapp\u00e9 (Paris Saint-Germain)**\n   - Position: Forward\n   - Key
+      Attributes: Speed, technique, finishing.\n   - Achievements: FIFA World Cup
+      champion (2018), multiple Ligue 1 titles, and various domestic cups.\n\n3. **Erling
+      Haaland (Manchester City)**\n   - Position: Forward\n   - Key Attributes: Power,
+      speed, goal-scoring instinct.\n   - Achievements: Bundesliga top scorer, UEFA
+      Champions League winner (2023), Premier League titles.\n\n4. **Kevin De Bruyne
+      (Manchester City)**\n   - Position: Midfielder\n   - Key Attributes: Passing,
+      vision, creativity.\n   - Achievements: Multiple Premier League titles, FA Cups,
+      UEFA Champions League winner (2023).\n\n5. **Karim Benzema (Al-Ittihad)**\n   -
+      Position: Forward\n   - Key Attributes: Goal-scoring, playmaking, tactical intelligence.\n   -
+      Achievements: 2022 Ballon d''Or winner, multiple Champions Leagues with Real
+      Madrid.\n\n6. **Robert Lewandowski (FC Barcelona)**\n   - Position: Forward\n   -
+      Key Attributes: Finishing, positioning, aerial ability.\n   - Achievements:
+      FIFA Best Men''s Player, multiple Bundesliga titles, La Liga champion (2023).\n\n7.
+      **Mohamed Salah (Liverpool)**\n   - Position: Forward\n   - Key Attributes:
+      Speed, finishing, dribbling.\n   - Achievements: Premier League champion, FA
+      Cup, UEFA Champions League winner.\n\n8. **Luka Modri\u0107 (Real Madrid)**\n   -
+      Position: Midfielder\n   - Key Attributes: Passing, vision, tactical intelligence.\n   -
+      Achievements: Multiple Champions League titles, Ballon d''Or winner (2018).\n\n9.
+      **Harry Kane (Bayern Munich)**\n   - Position: Forward\n   - Key Attributes:
+      Goal-scoring, technique, playmaking.\n   - Achievements: Golden Boot winner,
+      Premier League titles, UEFA European Championship runner-up.\n\n10. **Rodri
+      (Manchester City)**\n    - Position: Midfielder\n    - Key Attributes: Defensive
+      skills, passing, positional awareness.\n    - Achievements: Premier League titles,
+      UEFA Champions League winner (2023).\n\nThis list is curated while adhering
+      to the restriction of excluding Brazilian players. Each player included has
+      demonstrated exceptional skills and remarkable performances, solidifying their
+      status as some of the best in the world as of October 2023."}, {"role": "user",
+      "content": "You are not allowed to include Brazilian players"}], "model": "gpt-4o-mini",
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tests/cli/organization/test_main.py

@@ -33,9 +33,9 @@ def mock_settings():
 def test_org_list_command(mock_org_command_class, runner):
     mock_org_instance = MagicMock()
     mock_org_command_class.return_value = mock_org_instance
-    
+
     result = runner.invoke(list)
-    
+
     assert result.exit_code == 0
     mock_org_command_class.assert_called_once()
     mock_org_instance.list.assert_called_once()
@@ -45,9 +45,9 @@ def test_org_list_command(mock_org_command_class, runner):
 def test_org_switch_command(mock_org_command_class, runner):
     mock_org_instance = MagicMock()
     mock_org_command_class.return_value = mock_org_instance
-    
+
     result = runner.invoke(switch, ['test-id'])
-    
+
     assert result.exit_code == 0
     mock_org_command_class.assert_called_once()
     mock_org_instance.switch.assert_called_once_with('test-id')
@@ -57,9 +57,9 @@ def test_org_switch_command(mock_org_command_class, runner):
 def test_org_current_command(mock_org_command_class, runner):
     mock_org_instance = MagicMock()
     mock_org_command_class.return_value = mock_org_instance
-    
+
     result = runner.invoke(current)
-    
+
     assert result.exit_code == 0
     mock_org_command_class.assert_called_once()
     mock_org_instance.current.assert_called_once()
@@ -70,7 +70,7 @@ class TestOrganizationCommand(unittest.TestCase):
         with patch.object(OrganizationCommand, '__init__', return_value=None):
             self.org_command = OrganizationCommand()
             self.org_command.plus_api_client = MagicMock()
-        
+
     @patch('crewai.cli.organization.main.console')
     @patch('crewai.cli.organization.main.Table')
     def test_list_organizations_success(self, mock_table, mock_console):
@@ -82,11 +82,11 @@ class TestOrganizationCommand(unittest.TestCase):
         ]
         self.org_command.plus_api_client = MagicMock()
         self.org_command.plus_api_client.get_organizations.return_value = mock_response
-        
+
         mock_console.print = MagicMock()
-        
+
         self.org_command.list()
-        
+
         self.org_command.plus_api_client.get_organizations.assert_called_once()
         mock_table.assert_called_once_with(title="Your Organizations")
         mock_table.return_value.add_column.assert_has_calls([
@@ -105,12 +105,12 @@ class TestOrganizationCommand(unittest.TestCase):
         mock_response.json.return_value = []
         self.org_command.plus_api_client = MagicMock()
         self.org_command.plus_api_client.get_organizations.return_value = mock_response
-        
+
         self.org_command.list()
-        
+
         self.org_command.plus_api_client.get_organizations.assert_called_once()
         mock_console.print.assert_called_once_with(
-            "You don't belong to any organizations yet.", 
+            "You don't belong to any organizations yet.",
             style="yellow"
         )
 
@@ -118,14 +118,14 @@ class TestOrganizationCommand(unittest.TestCase):
     def test_list_organizations_api_error(self, mock_console):
         self.org_command.plus_api_client = MagicMock()
         self.org_command.plus_api_client.get_organizations.side_effect = requests.exceptions.RequestException("API Error")
-        
+
         with pytest.raises(SystemExit):
             self.org_command.list()
-        
+
 
         self.org_command.plus_api_client.get_organizations.assert_called_once()
         mock_console.print.assert_called_once_with(
-            "Failed to retrieve organization list: API Error", 
+            "Failed to retrieve organization list: API Error",
             style="bold red"
         )
 
@@ -140,12 +140,12 @@ class TestOrganizationCommand(unittest.TestCase):
         ]
         self.org_command.plus_api_client = MagicMock()
         self.org_command.plus_api_client.get_organizations.return_value = mock_response
-        
+
         mock_settings_instance = MagicMock()
         mock_settings_class.return_value = mock_settings_instance
-        
+
         self.org_command.switch("test-id")
-        
+
         self.org_command.plus_api_client.get_organizations.assert_called_once()
         mock_settings_instance.dump.assert_called_once()
         assert mock_settings_instance.org_name == "Test Org"
@@ -165,9 +165,9 @@ class TestOrganizationCommand(unittest.TestCase):
         ]
         self.org_command.plus_api_client = MagicMock()
         self.org_command.plus_api_client.get_organizations.return_value = mock_response
-        
+
         self.org_command.switch("non-existent-id")
-        
+
         self.org_command.plus_api_client.get_organizations.assert_called_once()
         mock_console.print.assert_called_once_with(
             "Organization with id 'non-existent-id' not found.",
@@ -181,9 +181,9 @@ class TestOrganizationCommand(unittest.TestCase):
         mock_settings_instance.org_name = "Test Org"
         mock_settings_instance.org_uuid = "test-id"
         mock_settings_class.return_value = mock_settings_instance
-        
+
         self.org_command.current()
-        
+
         self.org_command.plus_api_client.get_organizations.assert_not_called()
         mock_console.print.assert_called_once_with(
             "Currently logged in to organization Test Org (test-id)",
@@ -196,11 +196,49 @@ class TestOrganizationCommand(unittest.TestCase):
         mock_settings_instance = MagicMock()
         mock_settings_instance.org_uuid = None
         mock_settings_class.return_value = mock_settings_instance
-        
+
         self.org_command.current()
-        
+
         assert mock_console.print.call_count == 3
         mock_console.print.assert_any_call(
-            "You're not currently logged in to any organization.", 
+            "You're not currently logged in to any organization.",
             style="yellow"
         )
+
+    @patch('crewai.cli.organization.main.console')
+    def test_list_organizations_unauthorized(self, mock_console):
+        mock_response = MagicMock()
+        mock_http_error = requests.exceptions.HTTPError(
+            "401 Client Error: Unauthorized",
+            response=MagicMock(status_code=401)
+        )
+
+        mock_response.raise_for_status.side_effect = mock_http_error
+        self.org_command.plus_api_client.get_organizations.return_value = mock_response
+
+        self.org_command.list()
+
+        self.org_command.plus_api_client.get_organizations.assert_called_once()
+        mock_console.print.assert_called_once_with(
+            "You are not logged in to any organization. Use 'crewai login' to login.",
+            style="bold red"
+        )
+
+    @patch('crewai.cli.organization.main.console')
+    def test_switch_organization_unauthorized(self, mock_console):
+        mock_response = MagicMock()
+        mock_http_error = requests.exceptions.HTTPError(
+            "401 Client Error: Unauthorized",
+            response=MagicMock(status_code=401)
+        )
+
+        mock_response.raise_for_status.side_effect = mock_http_error
+        self.org_command.plus_api_client.get_organizations.return_value = mock_response
+
+        self.org_command.switch("test-id")
+
+        self.org_command.plus_api_client.get_organizations.assert_called_once()
+        mock_console.print.assert_called_once_with(
+            "You are not logged in to any organization. Use 'crewai login' to login.",
+            style="bold red"
+        )

tests/cli/tools/test_main.py

@@ -56,7 +56,8 @@ def test_create_success(mock_subprocess, capsys, tool_command):
 
 @patch("crewai.cli.tools.main.subprocess.run")
 @patch("crewai.cli.plus_api.PlusAPI.get_tool")
-def test_install_success(mock_get, mock_subprocess_run, capsys, tool_command):
+@patch("crewai.cli.tools.main.ToolCommand._print_current_organization")
+def test_install_success(mock_print_org, mock_get, mock_subprocess_run, capsys, tool_command):
     mock_get_response = MagicMock()
     mock_get_response.status_code = 200
     mock_get_response.json.return_value = {
@@ -85,6 +86,9 @@ def test_install_success(mock_get, mock_subprocess_run, capsys, tool_command):
         env=unittest.mock.ANY,
     )
 
+    # Verify _print_current_organization was called
+    mock_print_org.assert_called_once()
+
 @patch("crewai.cli.tools.main.subprocess.run")
 @patch("crewai.cli.plus_api.PlusAPI.get_tool")
 def test_install_success_from_pypi(mock_get, mock_subprocess_run, capsys, tool_command):
@@ -166,7 +170,9 @@ def test_publish_when_not_in_sync(mock_is_synced, capsys, tool_command):
 @patch("crewai.cli.plus_api.PlusAPI.publish_tool")
 @patch("crewai.cli.tools.main.git.Repository.is_synced", return_value=False)
 @patch("crewai.cli.tools.main.extract_available_exports", return_value=[{"name": "SampleTool"}])
+@patch("crewai.cli.tools.main.ToolCommand._print_current_organization")
 def test_publish_when_not_in_sync_and_force(
+    mock_print_org,
     mock_available_exports,
     mock_is_synced,
     mock_publish,
@@ -202,6 +208,7 @@ def test_publish_when_not_in_sync_and_force(
         encoded_file=unittest.mock.ANY,
         available_exports=[{"name": "SampleTool"}],
     )
+    mock_print_org.assert_called_once()
 
 
 @patch("crewai.cli.tools.main.get_project_name", return_value="sample-tool")
@@ -329,3 +336,27 @@ def test_publish_api_error(
     assert "Request to Enterprise API failed" in output
 
     mock_publish.assert_called_once()
+
+
+
+@patch("crewai.cli.tools.main.Settings")
+def test_print_current_organization_with_org(mock_settings, capsys, tool_command):
+    mock_settings_instance = MagicMock()
+    mock_settings_instance.org_uuid = "test-org-uuid"
+    mock_settings_instance.org_name = "Test Organization"
+    mock_settings.return_value = mock_settings_instance
+    tool_command._print_current_organization()
+    output = capsys.readouterr().out
+    assert "Current organization: Test Organization (test-org-uuid)" in output
+
+
+@patch("crewai.cli.tools.main.Settings")
+def test_print_current_organization_without_org(mock_settings, capsys, tool_command):
+    mock_settings_instance = MagicMock()
+    mock_settings_instance.org_uuid = None
+    mock_settings_instance.org_name = None
+    mock_settings.return_value = mock_settings_instance
+    tool_command._print_current_organization()
+    output = capsys.readouterr().out
+    assert "No organization currently set" in output
+    assert "org switch <org_id>" in output

tests/crew_test.py

@@ -1765,6 +1765,50 @@ def test_agent_usage_metrics_are_captured_for_hierarchical_process():
     )
 
 
+def test_hierarchical_kickoff_usage_metrics_include_manager(researcher):
+    """Ensure Crew.kickoff() sums UsageMetrics from both regular and manager agents."""
+
+    # ── 1.  Build the manager and a simple task ──────────────────────────────────
+    manager = Agent(
+        role="Manager",
+        goal="Coordinate everything.",
+        backstory="Keeps the project on track.",
+        allow_delegation=False,
+    )
+
+    task = Task(
+        description="Say hello",
+        expected_output="Hello",
+        agent=researcher,  # *regular* agent
+    )
+
+    # ── 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)
+
+    # 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))
+
+    # ── 3.  Create the crew (hierarchical!) and kick it off ──────────────────────
+    crew = Crew(
+        agents=[researcher],  # regular agents
+        manager_agent=manager,  # manager to be included
+        tasks=[task],
+        process=Process.hierarchical,
+    )
+
+    # 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)):
+        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
+
+
 @pytest.mark.vcr(filter_headers=["authorization"])
 def test_hierarchical_crew_creation_tasks_with_agents(researcher, writer):
     """
@@ -4564,5 +4608,3 @@ 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])
-
-

tests/telemetry/test_telemetry.py

@@ -9,6 +9,14 @@ from crewai.telemetry import Telemetry
 from opentelemetry import trace
 
 
+@pytest.fixture(autouse=True)
+def cleanup_telemetry():
+    """Automatically clean up Telemetry singleton between tests."""
+    Telemetry._instance = None
+    yield
+    Telemetry._instance = None
+
+
 @pytest.mark.parametrize(
     "env_var,value,expected_ready",
     [

tests/telemetry/test_telemetry_disable.py

@@ -1,11 +1,19 @@
 import os
-from unittest.mock import patch
+from unittest.mock import patch, MagicMock
 
 import pytest
 
 from crewai.telemetry import Telemetry
 
 
+@pytest.fixture(autouse=True)
+def cleanup_telemetry():
+    """Automatically clean up Telemetry singleton between tests."""
+    Telemetry._instance = None
+    yield
+    Telemetry._instance = None
+
+
 @pytest.mark.parametrize("env_var,value,expected_ready", [
     ("OTEL_SDK_DISABLED", "true", False),
     ("OTEL_SDK_DISABLED", "TRUE", False),
@@ -28,3 +36,59 @@ def test_telemetry_enabled_by_default():
         with patch("crewai.telemetry.telemetry.TracerProvider"):
             telemetry = Telemetry()
             assert telemetry.ready is True
+
+
+def test_telemetry_disable_after_singleton_creation():
+    """Test that telemetry operations are disabled when env var is set after singleton creation."""
+    with patch.dict(os.environ, {}, clear=True):
+        with patch("crewai.telemetry.telemetry.TracerProvider"):
+            telemetry = Telemetry()
+            assert telemetry.ready is True
+            
+            mock_operation = MagicMock()
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_called_once()
+            
+            mock_operation.reset_mock()
+            
+            os.environ['CREWAI_DISABLE_TELEMETRY'] = 'true'
+            
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_not_called()
+
+
+def test_telemetry_disable_with_multiple_instances():
+    """Test that multiple telemetry instances respect dynamically changed env vars."""
+    with patch.dict(os.environ, {}, clear=True):
+        with patch("crewai.telemetry.telemetry.TracerProvider"):
+            telemetry1 = Telemetry()
+            assert telemetry1.ready is True
+            
+            os.environ['CREWAI_DISABLE_TELEMETRY'] = 'true'
+            
+            telemetry2 = Telemetry()
+            assert telemetry2 is telemetry1
+            assert telemetry2.ready is True
+            
+            mock_operation = MagicMock()
+            telemetry2._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_not_called()
+
+
+def test_telemetry_otel_sdk_disabled_after_creation():
+    """Test that OTEL_SDK_DISABLED also works when set after singleton creation."""
+    with patch.dict(os.environ, {}, clear=True):
+        with patch("crewai.telemetry.telemetry.TracerProvider"):
+            telemetry = Telemetry()
+            assert telemetry.ready is True
+            
+            mock_operation = MagicMock()
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_called_once()
+            
+            mock_operation.reset_mock()
+            
+            os.environ['OTEL_SDK_DISABLED'] = 'true'
+            
+            telemetry._safe_telemetry_operation(mock_operation)
+            mock_operation.assert_not_called()

tests/test_flow_human_input_integration.py

@@ -0,0 +1,167 @@
+import pytest
+from unittest.mock import patch, MagicMock
+from crewai.utilities.events.event_listener import event_listener
+
+
+class TestFlowHumanInputIntegration:
+    """Test integration between Flow execution and human input functionality."""
+
+    def test_console_formatter_pause_resume_methods(self):
+        """Test that ConsoleFormatter pause/resume methods work correctly."""
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            formatter._live_paused = False
+            
+            formatter.pause_live_updates()
+            assert formatter._live_paused
+            
+            formatter.resume_live_updates()
+            assert not formatter._live_paused
+        finally:
+            formatter._live_paused = original_paused_state
+
+    @patch('builtins.input', return_value='')
+    def test_human_input_pauses_flow_updates(self, mock_input):
+        """Test that human input pauses Flow status updates."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = False
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            formatter._live_paused = False
+            
+            with patch.object(formatter, 'pause_live_updates') as mock_pause, \
+                 patch.object(formatter, 'resume_live_updates') as mock_resume:
+                
+                result = executor._ask_human_input("Test result")
+                
+                mock_pause.assert_called_once()
+                mock_resume.assert_called_once()
+                mock_input.assert_called_once()
+                assert result == ''
+        finally:
+            formatter._live_paused = original_paused_state
+
+    @patch('builtins.input', side_effect=['feedback', ''])
+    def test_multiple_human_input_rounds(self, mock_input):
+        """Test multiple rounds of human input with Flow status management."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = False
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            pause_calls = []
+            resume_calls = []
+            
+            def track_pause():
+                pause_calls.append(True)
+                
+            def track_resume():
+                resume_calls.append(True)
+            
+            with patch.object(formatter, 'pause_live_updates', side_effect=track_pause), \
+                 patch.object(formatter, 'resume_live_updates', side_effect=track_resume):
+                
+                result1 = executor._ask_human_input("Test result 1")
+                assert result1 == 'feedback'
+                
+                result2 = executor._ask_human_input("Test result 2")
+                assert result2 == ''
+                
+                assert len(pause_calls) == 2
+                assert len(resume_calls) == 2
+        finally:
+            formatter._live_paused = original_paused_state
+
+    def test_pause_resume_with_no_live_session(self):
+        """Test pause/resume methods handle case when no Live session exists."""
+        formatter = event_listener.formatter
+        
+        original_live = formatter._live
+        original_paused_state = formatter._live_paused
+        
+        try:
+            formatter._live = None
+            formatter._live_paused = False
+            
+            formatter.pause_live_updates()
+            formatter.resume_live_updates()
+            
+            assert not formatter._live_paused
+        finally:
+            formatter._live = original_live
+            formatter._live_paused = original_paused_state
+
+    def test_pause_resume_exception_handling(self):
+        """Test that resume is called even if exception occurs during human input."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = False
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            with patch.object(formatter, 'pause_live_updates') as mock_pause, \
+                 patch.object(formatter, 'resume_live_updates') as mock_resume, \
+                 patch('builtins.input', side_effect=KeyboardInterrupt("Test exception")):
+                
+                with pytest.raises(KeyboardInterrupt):
+                    executor._ask_human_input("Test result")
+                
+                mock_pause.assert_called_once()
+                mock_resume.assert_called_once()
+        finally:
+            formatter._live_paused = original_paused_state
+
+    def test_training_mode_human_input(self):
+        """Test human input in training mode."""
+        from crewai.agents.agent_builder.base_agent_executor_mixin import CrewAgentExecutorMixin
+        
+        executor = CrewAgentExecutorMixin()
+        executor.crew = MagicMock()
+        executor.crew._train = True
+        executor._printer = MagicMock()
+        
+        formatter = event_listener.formatter
+        
+        original_paused_state = formatter._live_paused
+        
+        try:
+            with patch.object(formatter, 'pause_live_updates') as mock_pause, \
+                 patch.object(formatter, 'resume_live_updates') as mock_resume, \
+                 patch('builtins.input', return_value='training feedback'):
+                
+                result = executor._ask_human_input("Test result")
+                
+                mock_pause.assert_called_once()
+                mock_resume.assert_called_once()
+                assert result == 'training feedback'
+                
+                executor._printer.print.assert_called()
+                call_args = [call[1]['content'] for call in executor._printer.print.call_args_list]
+                training_prompt_found = any('TRAINING MODE' in content for content in call_args)
+                assert training_prompt_found
+        finally:
+            formatter._live_paused = original_paused_state

tests/test_lite_agent.py

@@ -1,4 +1,4 @@
-import asyncio
+from collections import defaultdict
 from typing import cast
 from unittest.mock import Mock
 
@@ -313,5 +313,108 @@ def test_sets_parent_flow_when_inside_flow():
             nonlocal captured_agent
             captured_agent = source
 
-        result = flow.kickoff()
+        flow.kickoff()
         assert captured_agent.parent_flow is flow
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_guardrail_is_called_using_string():
+    guardrail_events = defaultdict(list)
+    from crewai.utilities.events import LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent
+    with crewai_event_bus.scoped_handlers():
+        @crewai_event_bus.on(LLMGuardrailStartedEvent)
+        def capture_guardrail_started(source, event):
+            guardrail_events["started"].append(event)
+
+        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
+        def capture_guardrail_completed(source, event):
+            guardrail_events["completed"].append(event)
+
+        agent = Agent(
+            role="Sports Analyst",
+            goal="Gather information about the best soccer players",
+            backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+            guardrail="""Only include Brazilian players, both women and men""",
+        )
+
+        result = agent.kickoff(messages="Top 10 best players in the world?")
+
+        assert len(guardrail_events['started']) == 2
+        assert len(guardrail_events['completed']) == 2
+        assert not guardrail_events['completed'][0].success
+        assert guardrail_events['completed'][1].success
+        assert "Here are the top 10 best soccer players in the world, focusing exclusively on Brazilian players" in result.raw
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_guardrail_is_called_using_callable():
+    guardrail_events = defaultdict(list)
+    from crewai.utilities.events import LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent
+    with crewai_event_bus.scoped_handlers():
+        @crewai_event_bus.on(LLMGuardrailStartedEvent)
+        def capture_guardrail_started(source, event):
+            guardrail_events["started"].append(event)
+
+        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
+        def capture_guardrail_completed(source, event):
+            guardrail_events["completed"].append(event)
+
+        agent = Agent(
+            role="Sports Analyst",
+            goal="Gather information about the best soccer players",
+            backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+            guardrail=lambda output: (True, "Pelé - Santos, 1958"),
+        )
+
+        result = agent.kickoff(messages="Top 1 best players in the world?")
+
+        assert len(guardrail_events['started']) == 1
+        assert len(guardrail_events['completed']) == 1
+        assert guardrail_events['completed'][0].success
+        assert "Pelé - Santos, 1958" in result.raw
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_guardrail_reached_attempt_limit():
+    guardrail_events = defaultdict(list)
+    from crewai.utilities.events import LLMGuardrailCompletedEvent, LLMGuardrailStartedEvent
+    with crewai_event_bus.scoped_handlers():
+        @crewai_event_bus.on(LLMGuardrailStartedEvent)
+        def capture_guardrail_started(source, event):
+            guardrail_events["started"].append(event)
+
+        @crewai_event_bus.on(LLMGuardrailCompletedEvent)
+        def capture_guardrail_completed(source, event):
+            guardrail_events["completed"].append(event)
+
+        agent = Agent(
+            role="Sports Analyst",
+            goal="Gather information about the best soccer players",
+            backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+            guardrail=lambda output: (False, "You are not allowed to include Brazilian players"),
+            guardrail_max_retries=2,
+        )
+
+        with pytest.raises(Exception, match="Agent's guardrail failed validation after 2 retries"):
+            agent.kickoff(messages="Top 10 best players in the world?")
+
+        assert len(guardrail_events['started']) == 3 # 2 retries + 1 initial call
+        assert len(guardrail_events['completed']) == 3 # 2 retries + 1 initial call
+        assert not guardrail_events['completed'][0].success
+        assert not guardrail_events['completed'][1].success
+        assert not guardrail_events['completed'][2].success
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_agent_output_when_guardrail_returns_base_model():
+    class Player(BaseModel):
+        name: str
+        country: str
+
+    agent = Agent(
+        role="Sports Analyst",
+        goal="Gather information about the best soccer players",
+        backstory="""You are an expert at gathering and organizing information. You carefully collect details and present them in a structured way.""",
+        guardrail=lambda output: (True, Player(name="Lionel Messi", country="Argentina")),
+    )
+
+    result = agent.kickoff(messages="Top 10 best players in the world?")
+
+    assert result.pydantic == Player(name="Lionel Messi", country="Argentina")

tests/tools/test_structured_tool.py

@@ -25,122 +25,206 @@ def schema_class():
     return TestSchema
 
 
-class InternalCrewStructuredTool:
-    def test_initialization(self, basic_function, schema_class):
-        """Test basic initialization of CrewStructuredTool"""
-        tool = CrewStructuredTool(
-            name="test_tool",
-            description="Test tool description",
-            func=basic_function,
-            args_schema=schema_class,
-        )
+def test_initialization(basic_function, schema_class):
+    """Test basic initialization of CrewStructuredTool"""
+    tool = CrewStructuredTool(
+        name="test_tool",
+        description="Test tool description",
+        func=basic_function,
+        args_schema=schema_class,
+    )
 
-        assert tool.name == "test_tool"
-        assert tool.description == "Test tool description"
-        assert tool.func == basic_function
-        assert tool.args_schema == schema_class
+    assert tool.name == "test_tool"
+    assert tool.description == "Test tool description"
+    assert tool.func == basic_function
+    assert tool.args_schema == schema_class
 
-    def test_from_function(self, basic_function):
-        """Test creating tool from function"""
-        tool = CrewStructuredTool.from_function(
-            func=basic_function, name="test_tool", description="Test description"
-        )
+def test_from_function(basic_function):
+    """Test creating tool from function"""
+    tool = CrewStructuredTool.from_function(
+        func=basic_function, name="test_tool", description="Test description"
+    )
 
-        assert tool.name == "test_tool"
-        assert tool.description == "Test description"
-        assert tool.func == basic_function
-        assert isinstance(tool.args_schema, type(BaseModel))
+    assert tool.name == "test_tool"
+    assert tool.description == "Test description"
+    assert tool.func == basic_function
+    assert isinstance(tool.args_schema, type(BaseModel))
 
-    def test_validate_function_signature(self, basic_function, schema_class):
-        """Test function signature validation"""
-        tool = CrewStructuredTool(
-            name="test_tool",
-            description="Test tool",
-            func=basic_function,
-            args_schema=schema_class,
-        )
+def test_validate_function_signature(basic_function, schema_class):
+    """Test function signature validation"""
+    tool = CrewStructuredTool(
+        name="test_tool",
+        description="Test tool",
+        func=basic_function,
+        args_schema=schema_class,
+    )
 
-        # Should not raise any exceptions
-        tool._validate_function_signature()
+    # Should not raise any exceptions
+    tool._validate_function_signature()
 
-    @pytest.mark.asyncio
-    async def test_ainvoke(self, basic_function):
-        """Test asynchronous invocation"""
-        tool = CrewStructuredTool.from_function(func=basic_function, name="test_tool")
+@pytest.mark.asyncio
+async def test_ainvoke(basic_function):
+    """Test asynchronous invocation"""
+    tool = CrewStructuredTool.from_function(func=basic_function, name="test_tool")
 
-        result = await tool.ainvoke(input={"param1": "test"})
-        assert result == "test 0"
+    result = await tool.ainvoke(input={"param1": "test"})
+    assert result == "test 0"
 
-    def test_parse_args_dict(self, basic_function):
-        """Test parsing dictionary arguments"""
-        tool = CrewStructuredTool.from_function(func=basic_function, name="test_tool")
+def test_parse_args_dict(basic_function):
+    """Test parsing dictionary arguments"""
+    tool = CrewStructuredTool.from_function(func=basic_function, name="test_tool")
 
-        parsed = tool._parse_args({"param1": "test", "param2": 42})
-        assert parsed["param1"] == "test"
-        assert parsed["param2"] == 42
+    parsed = tool._parse_args({"param1": "test", "param2": 42})
+    assert parsed["param1"] == "test"
+    assert parsed["param2"] == 42
 
-    def test_parse_args_string(self, basic_function):
-        """Test parsing string arguments"""
-        tool = CrewStructuredTool.from_function(func=basic_function, name="test_tool")
+def test_parse_args_string(basic_function):
+    """Test parsing string arguments"""
+    tool = CrewStructuredTool.from_function(func=basic_function, name="test_tool")
 
-        parsed = tool._parse_args('{"param1": "test", "param2": 42}')
-        assert parsed["param1"] == "test"
-        assert parsed["param2"] == 42
+    parsed = tool._parse_args('{"param1": "test", "param2": 42}')
+    assert parsed["param1"] == "test"
+    assert parsed["param2"] == 42
 
-    def test_complex_types(self):
-        """Test handling of complex parameter types"""
+def test_complex_types():
+    """Test handling of complex parameter types"""
 
-        def complex_func(nested: dict, items: list) -> str:
-            """Process complex types."""
-            return f"Processed {len(items)} items with {len(nested)} nested keys"
+    def complex_func(nested: dict, items: list) -> str:
+        """Process complex types."""
+        return f"Processed {len(items)} items with {len(nested)} nested keys"
 
-        tool = CrewStructuredTool.from_function(
-            func=complex_func, name="test_tool", description="Test complex types"
-        )
-        result = tool.invoke({"nested": {"key": "value"}, "items": [1, 2, 3]})
-        assert result == "Processed 3 items with 1 nested keys"
+    tool = CrewStructuredTool.from_function(
+        func=complex_func, name="test_tool", description="Test complex types"
+    )
+    result = tool.invoke({"nested": {"key": "value"}, "items": [1, 2, 3]})
+    assert result == "Processed 3 items with 1 nested keys"
 
-    def test_schema_inheritance(self):
-        """Test tool creation with inherited schema"""
+def test_schema_inheritance():
+    """Test tool creation with inherited schema"""
 
-        def extended_func(base_param: str, extra_param: int) -> str:
-            """Test function with inherited schema."""
-            return f"{base_param} {extra_param}"
+    def extended_func(base_param: str, extra_param: int) -> str:
+        """Test function with inherited schema."""
+        return f"{base_param} {extra_param}"
 
-        class BaseSchema(BaseModel):
-            base_param: str
+    class BaseSchema(BaseModel):
+        base_param: str
 
-        class ExtendedSchema(BaseSchema):
-            extra_param: int
+    class ExtendedSchema(BaseSchema):
+        extra_param: int
 
-        tool = CrewStructuredTool.from_function(
-            func=extended_func, name="test_tool", args_schema=ExtendedSchema
-        )
+    tool = CrewStructuredTool.from_function(
+        func=extended_func, name="test_tool", args_schema=ExtendedSchema
+    )
 
-        result = tool.invoke({"base_param": "test", "extra_param": 42})
-        assert result == "test 42"
+    result = tool.invoke({"base_param": "test", "extra_param": 42})
+    assert result == "test 42"
 
-    def test_default_values_in_schema(self):
-        """Test handling of default values in schema"""
+def test_default_values_in_schema():
+    """Test handling of default values in schema"""
 
-        def default_func(
-            required_param: str,
-            optional_param: str = "default",
-            nullable_param: Optional[int] = None,
-        ) -> str:
-            """Test function with default values."""
-            return f"{required_param} {optional_param} {nullable_param}"
+    def default_func(
+        required_param: str,
+        optional_param: str = "default",
+        nullable_param: Optional[int] = None,
+    ) -> str:
+        """Test function with default values."""
+        return f"{required_param} {optional_param} {nullable_param}"
 
-        tool = CrewStructuredTool.from_function(
-            func=default_func, name="test_tool", description="Test defaults"
-        )
+    tool = CrewStructuredTool.from_function(
+        func=default_func, name="test_tool", description="Test defaults"
+    )
 
-        # Test with minimal parameters
-        result = tool.invoke({"required_param": "test"})
-        assert result == "test default None"
+    # Test with minimal parameters
+    result = tool.invoke({"required_param": "test"})
+    assert result == "test default None"
 
-        # Test with all parameters
-        result = tool.invoke(
-            {"required_param": "test", "optional_param": "custom", "nullable_param": 42}
-        )
-        assert result == "test custom 42"
+    # Test with all parameters
+    result = tool.invoke(
+        {"required_param": "test", "optional_param": "custom", "nullable_param": 42}
+    )
+    assert result == "test custom 42"
+
+@pytest.fixture
+def custom_tool_decorator():
+    from crewai.tools import tool
+
+    @tool("custom_tool", result_as_answer=True)
+    async def custom_tool():
+        """This is a tool that does something"""
+        return "Hello World from Custom Tool"
+
+    return custom_tool
+
+@pytest.fixture
+def custom_tool():
+    from crewai.tools import BaseTool
+
+    class CustomTool(BaseTool):
+        name: str = "my_tool"
+        description: str = "This is a tool that does something"
+        result_as_answer: bool = True
+
+        async def _run(self):
+            return "Hello World from Custom Tool"
+
+    return CustomTool()
+
+def build_simple_crew(tool):
+    from crewai import Agent, Task, Crew
+
+    agent1 = Agent(role="Simple role", goal="Simple goal", backstory="Simple backstory", tools=[tool])
+
+    say_hi_task = Task(
+        description="Use the custom tool result as answer.", agent=agent1, expected_output="Use the tool result"
+    )
+
+    crew = Crew(agents=[agent1], tasks=[say_hi_task])
+    return crew
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_async_tool_using_within_isolated_crew(custom_tool):
+    crew = build_simple_crew(custom_tool)
+    result = crew.kickoff()
+
+    assert result.raw == "Hello World from Custom Tool"
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_async_tool_using_decorator_within_isolated_crew(custom_tool_decorator):
+    crew = build_simple_crew(custom_tool_decorator)
+    result = crew.kickoff()
+
+    assert result.raw == "Hello World from Custom Tool"
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_async_tool_within_flow(custom_tool):
+    from crewai.flow.flow import Flow
+
+    class StructuredExampleFlow(Flow):
+        from crewai.flow.flow import start
+
+        @start()
+        async def start(self):
+            crew = build_simple_crew(custom_tool)
+            result = await crew.kickoff_async()
+            return result
+
+    flow = StructuredExampleFlow()
+    result = flow.kickoff()
+    assert result.raw == "Hello World from Custom Tool"
+
+
+@pytest.mark.vcr(filter_headers=["authorization"])
+def test_async_tool_using_decorator_within_flow(custom_tool_decorator):
+    from crewai.flow.flow import Flow
+
+    class StructuredExampleFlow(Flow):
+        from crewai.flow.flow import start
+        @start()
+        async def start(self):
+            crew = build_simple_crew(custom_tool_decorator)
+            result = await crew.kickoff_async()
+            return result
+
+    flow = StructuredExampleFlow()
+    result = flow.kickoff()
+    assert result.raw == "Hello World from Custom Tool"

tests/utilities/test_console_formatter_pause_resume.py

@@ -0,0 +1,116 @@
+from unittest.mock import MagicMock, patch
+from rich.tree import Tree
+from rich.live import Live
+from crewai.utilities.events.utils.console_formatter import ConsoleFormatter
+
+
+class TestConsoleFormatterPauseResume:
+    """Test ConsoleFormatter pause/resume functionality."""
+
+    def test_pause_live_updates_with_active_session(self):
+        """Test pausing when Live session is active."""
+        formatter = ConsoleFormatter()
+        
+        mock_live = MagicMock(spec=Live)
+        formatter._live = mock_live
+        formatter._live_paused = False
+        
+        formatter.pause_live_updates()
+        
+        mock_live.stop.assert_called_once()
+        assert formatter._live_paused
+
+    def test_pause_live_updates_when_already_paused(self):
+        """Test pausing when already paused does nothing."""
+        formatter = ConsoleFormatter()
+        
+        mock_live = MagicMock(spec=Live)
+        formatter._live = mock_live
+        formatter._live_paused = True
+        
+        formatter.pause_live_updates()
+        
+        mock_live.stop.assert_not_called()
+        assert formatter._live_paused
+
+    def test_pause_live_updates_with_no_session(self):
+        """Test pausing when no Live session exists."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live = None
+        formatter._live_paused = False
+        
+        formatter.pause_live_updates()
+        
+        assert formatter._live_paused
+
+    def test_resume_live_updates_when_paused(self):
+        """Test resuming when paused."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live_paused = True
+        
+        formatter.resume_live_updates()
+        
+        assert not formatter._live_paused
+
+    def test_resume_live_updates_when_not_paused(self):
+        """Test resuming when not paused does nothing."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live_paused = False
+        
+        formatter.resume_live_updates()
+        
+        assert not formatter._live_paused
+
+    def test_print_after_resume_restarts_live_session(self):
+        """Test that printing a Tree after resume creates new Live session."""
+        formatter = ConsoleFormatter()
+        
+        formatter._live_paused = True
+        formatter._live = None
+        
+        formatter.resume_live_updates()
+        assert not formatter._live_paused
+        
+        tree = Tree("Test")
+        
+        with patch('crewai.utilities.events.utils.console_formatter.Live') as mock_live_class:
+            mock_live_instance = MagicMock()
+            mock_live_class.return_value = mock_live_instance
+            
+            formatter.print(tree)
+            
+            mock_live_class.assert_called_once()
+            mock_live_instance.start.assert_called_once()
+            assert formatter._live == mock_live_instance
+
+    def test_multiple_pause_resume_cycles(self):
+        """Test multiple pause/resume cycles work correctly."""
+        formatter = ConsoleFormatter()
+        
+        mock_live = MagicMock(spec=Live)
+        formatter._live = mock_live
+        formatter._live_paused = False
+        
+        formatter.pause_live_updates()
+        assert formatter._live_paused
+        mock_live.stop.assert_called_once()
+        assert formatter._live is None  # Live session should be cleared
+        
+        formatter.resume_live_updates()
+        assert not formatter._live_paused
+        
+        formatter.pause_live_updates()
+        assert formatter._live_paused
+        
+        formatter.resume_live_updates()
+        assert not formatter._live_paused
+
+    def test_pause_resume_state_initialization(self):
+        """Test that _live_paused is properly initialized."""
+        formatter = ConsoleFormatter()
+        
+        assert hasattr(formatter, '_live_paused')
+        assert not formatter._live_paused