requirements.txt clean up

swarms/structs/flow.py

@@ -135,9 +135,9 @@ def parse_done_token(response: str) -> bool:
 
 class Flow:
     """
-    Flow is a chain like structure from langchain that provides the autonomy to language models
+    Flow is the structure that provides autonomy to any llm in a reliable and effective fashion.
-    to generate sequential responses.
+    The flow structure is designed to be used with any llm and provides the following features:
-
+    
     Features:
     * Interactive, AI generates, then user input
     * Message history and performance history fed -> into context -> truncate if too long

swarms/structs/sequential_workflow.py

@@ -117,15 +117,7 @@ class SequentialWorkflow:
     dashboard: bool = False
 
     def add(
-<<<<<<< HEAD
-        self,
-        agent: Union[Callable, Agent],
-        task: Optional[str] = None,
-        *args,
-        **kwargs,
-=======
         self, task: str, flow: Union[Callable, Flow], *args, **kwargs
->>>>>>> 49c7b97c (code quality fixes: line length = 80)
     ) -> None:
         """
         Add a task to the workflow.
@@ -188,21 +180,11 @@ class SequentialWorkflow:
                 ),
             )
 
-    def remove_task(self, task: str) -> None:
+    def remove_task(self, task_description: str) -> None:
         """Remove tasks from sequential workflow"""
-        try:
+        self.tasks = [
-            self.tasks = [
+            task for task in self.tasks if task.description != task_description
-                task
+        ]
-                for task in self.tasks
-                if task.description != task
-            ]
-        except Exception as error:
-            print(
-                colored(
-                    f"Error removing task from workflow: {error}",
-                    "red",
-                ),
-            )
 
     def update_task(self, task: str, **updates) -> None:
         """
@@ -515,15 +497,9 @@ class SequentialWorkflow:
                             # Ensure that 'task' is provided in the kwargs
                             if "task" not in task.kwargs:
                                 raise ValueError(
-<<<<<<< HEAD
-                                    "The 'task' argument is required"
-                                    " for the Agent agent execution"
-                                    f" in '{task.description}'"
-=======
                                     "The 'task' argument is required for the"
                                     " Flow flow execution in"
                                     f" '{task.description}'"
->>>>>>> 49c7b97c (code quality fixes: line length = 80)
                                 )
                             # Separate the 'task' argument from other kwargs
                             flow_task_arg = task.kwargs.pop("task")
@@ -575,28 +551,6 @@ class SequentialWorkflow:
             ValueError: If a Agent instance is used as a task and the 'task' argument is not provided.
 
         """
-<<<<<<< HEAD
-        try:
-            for _ in range(self.max_loops):
-                for task in self.tasks:
-                    # Check if the current task can be executed
-                    if task.result is None:
-                        # Check if the agent is a Agent and a 'task' argument is needed
-                        if isinstance(task.agent, Agent):
-                            # 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"
-                                    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,
-=======
         for _ in range(self.max_loops):
             for task in self.tasks:
                 # Check if the current task can be executed
@@ -608,7 +562,6 @@ class SequentialWorkflow:
                             raise ValueError(
                                 "The 'task' argument is required for the Flow"
                                 f" flow execution in '{task.description}'"
->>>>>>> 49c7b97c (code quality fixes: line length = 80)
                             )
                         else:
                             # If it's not a Agent instance, call the agent directly
@@ -616,39 +569,8 @@ class SequentialWorkflow:
                                 *task.args, **task.kwargs
                             )
 
-<<<<<<< HEAD
-                        # Pass the result as an argument to the next task if it exists
-                        next_task_index = self.tasks.index(task) + 1
-                        if next_task_index < len(self.tasks):
-                            next_task = self.tasks[next_task_index]
-                            if isinstance(next_task.agent, Agent):
-                                # For Agent flows, 'task' should be a keyword argument
-                                next_task.kwargs["task"] = task.result
-                            else:
-                                # For other callable flows, the result is added to args
-                                next_task.args.insert(0, task.result)
-
-                        # Autosave the workflow state
-                        if self.autosave:
-                            self.save_workflow_state(
-                                "sequential_workflow_state.json"
-                            )
-        except Exception as e:
-            print(
-                colored(
-                    (
-                        "Error initializing the Sequential workflow:"
-                        f" {e} try optimizing your inputs like the"
-                        " agent class and task description"
-                    ),
-                    "red",
-                    attrs=["bold", "underline"],
-                )
-            )
-=======
                     # Autosave the workflow state
                     if self.autosave:
                         self.save_workflow_state(
                             "sequential_workflow_state.json"
                         )
->>>>>>> 49c7b97c (code quality fixes: line length = 80)