diff --git a/swarms/structs/agent.py b/swarms/structs/agent.py
index 30faef6e..9987d9e3 100644
--- a/swarms/structs/agent.py
+++ b/swarms/structs/agent.py
@@ -267,9 +267,17 @@ class Agent:
 
     def _check_stopping_condition(self, response: str) -> bool:
         """Check if the stopping condition is met."""
-        if self.stopping_condition:
-            return self.stopping_condition(response)
-        return False
+        try:
+            if self.stopping_condition:
+                return self.stopping_condition(response)
+            return False
+        except Exception as error:
+            print(
+                colored(
+                    f"Error checking stopping condition: {error}",
+                    "red",
+                )
+            )
 
     def dynamic_temperature(self):
         """
@@ -278,12 +286,19 @@ class Agent:
         3. If the temperature is present, then dynamically change the temperature
         4. for every loop you can randomly change the temperature on a scale from 0.0 to 1.0
         """
-        if hasattr(self.llm, "temperature"):
-            # Randomly change the temperature attribute of self.llm object
-            self.llm.temperature = random.uniform(0.0, 1.0)
-        else:
-            # Use a default temperature
-            self.llm.temperature = 0.7
+        try:
+            if hasattr(self.llm, "temperature"):
+                # Randomly change the temperature attribute of self.llm object
+                self.llm.temperature = random.uniform(0.0, 1.0)
+            else:
+                # Use a default temperature
+                self.llm.temperature = 0.7
+        except Exception as error:
+            print(
+                colored(
+                    f"Error dynamically changing temperature: {error}"
+                )
+            )
 
     def format_prompt(self, template, **kwargs: Any) -> str:
         """Format the template with the provided kwargs using f-string interpolation."""
@@ -407,11 +422,25 @@ class Agent:
 
     def add_task_to_memory(self, task: str):
         """Add the task to the memory"""
-        self.short_memory.append([f"{self.user_name}: {task}"])
+        try:
+            self.short_memory.append([f"{self.user_name}: {task}"])
+        except Exception as error:
+            print(
+                colored(
+                    f"Error adding task to memory: {error}", "red"
+                )
+            )
 
     def add_message_to_memory(self, message: str):
         """Add the message to the memory"""
-        self.short_memory[-1].append(message)
+        try:
+            self.short_memory[-1].append(message)
+        except Exception as error:
+            print(
+                colored(
+                    f"Error adding message to memory: {error}", "red"
+                )
+            )
 
     def add_message_to_memory_and_truncate(self, message: str):
         """Add the message to the memory and truncate"""
@@ -466,8 +495,15 @@ class Agent:
             message (Dict[str, Any]): _description_
             metadata (Dict[str, Any]): _description_
         """
-        if self.memory is not None:
-            self.memory.add(message, metadata)
+        try:
+            if self.memory is not None:
+                self.memory.add(message, metadata)
+        except Exception as error:
+            print(
+                colored(
+                    f"Error adding message to memory: {error}", "red"
+                )
+            )
 
     def query_memorydb(
         self,
@@ -715,88 +751,105 @@ class Agent:
         5. Repeat until stopping condition is met or max_loops is reached
 
         """
-        # Activate Autonomous agent message
-        self.activate_autonomous_agent()
+        try:
+            # Activate Autonomous agent message
+            self.activate_autonomous_agent()
 
-        response = task
-        history = [f"{self.user_name}: {task}"]
+            response = task
+            history = [f"{self.user_name}: {task}"]
 
-        # If dashboard = True then print the dashboard
-        if self.dashboard:
-            self.print_dashboard(task)
+            # If dashboard = True then print the dashboard
+            if self.dashboard:
+                self.print_dashboard(task)
 
-        loop_count = 0
-        # for i in range(self.max_loops):
-        while self.max_loops == "auto" or loop_count < self.max_loops:
-            loop_count += 1
-            print(
-                colored(
-                    f"\nLoop {loop_count} of {self.max_loops}", "blue"
+            loop_count = 0
+            # for i in range(self.max_loops):
+            while (
+                self.max_loops == "auto"
+                or loop_count < self.max_loops
+            ):
+                loop_count += 1
+                print(
+                    colored(
+                        f"\nLoop {loop_count} of {self.max_loops}",
+                        "blue",
+                    )
                 )
-            )
-            print("\n")
+                print("\n")
 
-            if self._check_stopping_condition(
-                response
-            ) or parse_done_token(response):
-                break
+                if self._check_stopping_condition(
+                    response
+                ) or parse_done_token(response):
+                    break
 
-            # Adjust temperature, comment if no work
-            if self.dynamic_temperature_enabled:
-                self.dynamic_temperature()
+                # Adjust temperature, comment if no work
+                if self.dynamic_temperature_enabled:
+                    self.dynamic_temperature()
 
-            # Preparing the prompt
-            task = self.agent_history_prompt(
-                FLOW_SYSTEM_PROMPT, response
-            )
+                # Preparing the prompt
+                task = self.agent_history_prompt(
+                    FLOW_SYSTEM_PROMPT, response
+                )
 
-            attempt = 0
-            while attempt < self.retry_attempts:
-                try:
-                    response = self.llm(
-                        task**kwargs,
+                attempt = 0
+                while attempt < self.retry_attempts:
+                    try:
+                        response = self.llm(
+                            task**kwargs,
+                        )
+                        if self.interactive:
+                            print(f"AI: {response}")
+                            history.append(f"AI: {response}")
+                            response = input("You: ")
+                            history.append(f"Human: {response}")
+                        else:
+                            print(f"AI: {response}")
+                            history.append(f"AI: {response}")
+                            print(response)
+                        break
+                    except Exception as e:
+                        logging.error(
+                            f"Error generating response: {e}"
+                        )
+                        attempt += 1
+                        time.sleep(self.retry_interval)
+                history.append(response)
+                time.sleep(self.loop_interval)
+            self.memory.append(history)
+
+            if self.autosave:
+                print(
+                    colored(
+                        (
+                            "Autosaving agent state to"
+                            f" {self.saved_state_path}"
+                        ),
+                        "green",
                     )
-                    if self.interactive:
-                        print(f"AI: {response}")
-                        history.append(f"AI: {response}")
-                        response = input("You: ")
-                        history.append(f"Human: {response}")
-                    else:
-                        print(f"AI: {response}")
-                        history.append(f"AI: {response}")
-                        print(response)
-                    break
-                except Exception as e:
-                    logging.error(f"Error generating response: {e}")
-                    attempt += 1
-                    time.sleep(self.retry_interval)
-            history.append(response)
-            time.sleep(self.loop_interval)
-        self.memory.append(history)
-
-        if self.autosave:
+                )
+                self.save_state(self.saved_state_path)
+
+            if self.return_history:
+                return response, history
+
+            return response
+        except Exception as error:
             print(
                 colored(
-                    (
-                        "Autosaving agent state to"
-                        f" {self.saved_state_path}"
-                    ),
-                    "green",
+                    f"Error asynchronous running agent: {error}",
+                    "red",
                 )
             )
-            self.save_state(self.saved_state_path)
-
-        if self.return_history:
-            return response, history
-
-        return response
 
     def _run(self, **kwargs: Any) -> str:
         """Generate a result using the provided keyword args."""
-        task = self.format_prompt(**kwargs)
-        response, history = self._generate(task, task)
-        logging.info(f"Message history: {history}")
-        return response
+        try:
+            task = self.format_prompt(**kwargs)
+            response, history = self._generate(task, task)
+            logging.info(f"Message history: {history}")
+            return response
+        except Exception as error:
+            print(colored(f"Error running agent: {error}", "red"))
 
     def agent_history_prompt(
         self,
@@ -844,15 +897,29 @@ class Agent:
         Args:
             tasks (List[str]): A list of tasks to run.
         """
-        task_coroutines = [
-            self.run_async(task, **kwargs) for task in tasks
-        ]
-        completed_tasks = await asyncio.gather(*task_coroutines)
-        return completed_tasks
+        try:
+            task_coroutines = [
+                self.run_async(task, **kwargs) for task in tasks
+            ]
+            completed_tasks = await asyncio.gather(*task_coroutines)
+            return completed_tasks
+        except Exception as error:
+            print(
+                colored(
+                    (
+                        f"Error running agent: {error} while running"
+                        " concurrently"
+                    ),
+                    "red",
+                )
+            )
 
     def bulk_run(self, inputs: List[Dict[str, Any]]) -> List[str]:
-        """Generate responses for multiple input sets."""
-        return [self.run(**input_data) for input_data in inputs]
+        try:
+            """Generate responses for multiple input sets."""
+            return [self.run(**input_data) for input_data in inputs]
+        except Exception as error:
+            print(colored(f"Error running bulk run: {error}", "red"))
 
     @staticmethod
     def from_llm_and_template(llm: Any, template: str) -> "Agent":
@@ -874,9 +941,14 @@ class Agent:
         Args:
             file_path (_type_): _description_
         """
-        with open(file_path, "w") as f:
-            json.dump(self.short_memory, f)
-        print(f"Saved agent history to {file_path}")
+        try:
+            with open(file_path, "w") as f:
+                json.dump(self.short_memory, f)
+            print(f"Saved agent history to {file_path}")
+        except Exception as error:
+            print(
+                colored(f"Error saving agent history: {error}", "red")
+            )
 
     def load(self, file_path: str):
         """
@@ -1127,51 +1199,70 @@ class Agent:
         Example:
         >>> agent.save_state('saved_flow.json')
         """
-        state = {
-            "agent_id": str(self.id),
-            "agent_name": self.agent_name,
-            "agent_description": self.agent_description,
-            "system_prompt": self.system_prompt,
-            "sop": self.sop,
-            "short_memory": self.short_memory,
-            "loop_interval": self.loop_interval,
-            "retry_attempts": self.retry_attempts,
-            "retry_interval": self.retry_interval,
-            "interactive": self.interactive,
-            "dashboard": self.dashboard,
-            "dynamic_temperature": self.dynamic_temperature_enabled,
-            "autosave": self.autosave,
-            "saved_state_path": self.saved_state_path,
-            "max_loops": self.max_loops,
-        }
+        try:
+            state = {
+                "agent_id": str(self.id),
+                "agent_name": self.agent_name,
+                "agent_description": self.agent_description,
+                "system_prompt": self.system_prompt,
+                "sop": self.sop,
+                "short_memory": self.short_memory,
+                "loop_interval": self.loop_interval,
+                "retry_attempts": self.retry_attempts,
+                "retry_interval": self.retry_interval,
+                "interactive": self.interactive,
+                "dashboard": self.dashboard,
+                "dynamic_temperature": (
+                    self.dynamic_temperature_enabled
+                ),
+                "autosave": self.autosave,
+                "saved_state_path": self.saved_state_path,
+                "max_loops": self.max_loops,
+            }
 
-        with open(file_path, "w") as f:
-            json.dump(state, f, indent=4)
+            with open(file_path, "w") as f:
+                json.dump(state, f, indent=4)
 
-        saved = colored(f"Saved agent state to: {file_path}", "green")
-        print(saved)
+            saved = colored(
+                f"Saved agent state to: {file_path}", "green"
+            )
+            print(saved)
+        except Exception as error:
+            print(
+                colored(f"Error saving agent state: {error}", "red")
+            )
 
     def state_to_str(self):
         """Transform the JSON into a string"""
-        state = {
-            "agent_id": str(self.id),
-            "agent_name": self.agent_name,
-            "agent_description": self.agent_description,
-            "system_prompt": self.system_prompt,
-            "sop": self.sop,
-            "short_memory": self.short_memory,
-            "loop_interval": self.loop_interval,
-            "retry_attempts": self.retry_attempts,
-            "retry_interval": self.retry_interval,
-            "interactive": self.interactive,
-            "dashboard": self.dashboard,
-            "dynamic_temperature": self.dynamic_temperature_enabled,
-            "autosave": self.autosave,
-            "saved_state_path": self.saved_state_path,
-            "max_loops": self.max_loops,
-        }
-        out = str(state)
-        return out
+        try:
+            state = {
+                "agent_id": str(self.id),
+                "agent_name": self.agent_name,
+                "agent_description": self.agent_description,
+                "system_prompt": self.system_prompt,
+                "sop": self.sop,
+                "short_memory": self.short_memory,
+                "loop_interval": self.loop_interval,
+                "retry_attempts": self.retry_attempts,
+                "retry_interval": self.retry_interval,
+                "interactive": self.interactive,
+                "dashboard": self.dashboard,
+                "dynamic_temperature": (
+                    self.dynamic_temperature_enabled
+                ),
+                "autosave": self.autosave,
+                "saved_state_path": self.saved_state_path,
+                "max_loops": self.max_loops,
+            }
+            out = str(state)
+            return out
+        except Exception as error:
+            print(
+                colored(
+                    f"Error transforming state to string: {error}",
+                    "red",
+                )
+            )
 
     def load_state(self, file_path: str):
         """
@@ -1358,6 +1449,7 @@ class Agent:
         # Response
         ‘‘‘
         """
+        return PROMPT
 
     def self_healing(self, **kwargs):
         """
diff --git a/swarms/structs/sequential_workflow.py b/swarms/structs/sequential_workflow.py
index cba591da..93165aee 100644
--- a/swarms/structs/sequential_workflow.py
+++ b/swarms/structs/sequential_workflow.py
@@ -2,7 +2,7 @@ import concurrent.futures
 import json
 from dataclasses import dataclass, field
 from typing import Any, Callable, Dict, List, Optional, Union
-import logging
+
 from termcolor import colored
 
 from swarms.structs.agent import Agent
@@ -43,6 +43,7 @@ class Task:
     kwargs: Dict[str, Any] = field(default_factory=dict)
     result: Any = None
     history: List[Any] = field(default_factory=list)
+    # logger = logging.getLogger(__name__)
 
     def execute(self):
         """
@@ -158,14 +159,11 @@ class SequentialWorkflow:
     def reset_workflow(self) -> None:
         """Resets the workflow by clearing the results of each task."""
         try:
-            
             for task in self.tasks:
                 task.result = None
         except Exception as error:
             print(
-                colored(
-                    f"Error resetting workflow: {error}", "red"
-                ),
+                colored(f"Error resetting workflow: {error}", "red"),
             )
 
     def get_task_results(self) -> Dict[str, Any]:
@@ -188,14 +186,17 @@ class SequentialWorkflow:
 
     def remove_task(self, task: str) -> None:
         """Remove tasks from sequential workflow"""
-        try:    
+        try:
             self.tasks = [
-                task for task in self.tasks if task.description != task
+                task
+                for task in self.tasks
+                if task.description != task
             ]
         except Exception as error:
             print(
                 colored(
-                    f"Error removing task from workflow: {error}", "red"
+                    f"Error removing task from workflow: {error}",
+                    "red",
                 ),
             )
 
@@ -238,6 +239,44 @@ class SequentialWorkflow:
                 ),
             )
 
+    def delete_task(self, task: str) -> None:
+        """
+        Delete a task from the workflow.
+
+        Args:
+            task (str): The description of the task to delete.
+
+        Raises:
+            ValueError: If the task is not found in the workflow.
+
+        Examples:
+        >>> from swarms.models import OpenAIChat
+        >>> from swarms.structs import SequentialWorkflow
+        >>> llm = OpenAIChat(openai_api_key="")
+        >>> workflow = SequentialWorkflow(max_loops=1)
+        >>> workflow.add("What's the weather in miami", llm)
+        >>> workflow.add("Create a report on these metrics", llm)
+        >>> workflow.delete_task("What's the weather in miami")
+        >>> workflow.tasks
+        [Task(description='Create a report on these metrics', agent=Agent(llm=OpenAIChat(openai_api_key=''), max_loops=1, dashboard=False), args=[], kwargs={}, result=None, history=[])]
+        """
+        try:
+            for task in self.tasks:
+                if task.description == task:
+                    self.tasks.remove(task)
+                    break
+            else:
+                raise ValueError(
+                    f"Task {task} not found in workflow."
+                )
+        except Exception as error:
+            print(
+                colored(
+                    f"Error deleting task from workflow: {error}",
+                    "red",
+                ),
+            )
+
     def concurrent_run(self):
         """
         Concurrently run the workflow using a pool of workers.
@@ -384,7 +423,6 @@ class SequentialWorkflow:
     def add_objective_to_workflow(self, task: str, **kwargs) -> None:
         """Adds an objective to the workflow."""
         try:
-                
             print(
                 colored(
                     """
@@ -430,7 +468,6 @@ class SequentialWorkflow:
 
         """
         try:
-                
             filepath = filepath or self.restore_state_filepath
 
             with open(filepath, "r") as f:
@@ -538,14 +575,16 @@ class SequentialWorkflow:
                             # Ensure that 'task' is provided in the kwargs
                             if "task" not in task.kwargs:
                                 raise ValueError(
-                                    "The 'task' argument is required for"
-                                    " the Agent agent execution in"
-                                    f" '{task.description}'"
+                                    "The 'task' argument is required"
+                                    " for the Agent agent execution"
+                                    f" in '{task.description}'"
                                 )
                             # Separate the 'task' argument from other kwargs
                             flow_task_arg = task.kwargs.pop("task")
                             task.result = await task.agent.arun(
-                                flow_task_arg, *task.args, **task.kwargs
+                                flow_task_arg,
+                                *task.args,
+                                **task.kwargs,
                             )
                         else:
                             # If it's not a Agent instance, call the agent directly
@@ -580,4 +619,4 @@ class SequentialWorkflow:
                     "red",
                     attrs=["bold", "underline"],
                 )
-            )
\ No newline at end of file
+            )