init clean up

Former-commit-id: 8c7032ffcd

example_godmode.py

@@ -1,6 +1,6 @@
 
 from swarms.models import Anthropic, GooglePalm, OpenAIChat
-from swarms.swarms.god_mode import GodMode
+from swarms.swarms import GodMode
 
 claude = Anthropic(anthropic_api_key="")
 palm = GooglePalm(google_api_key="")

swarms/__init__.py

@@ -2,11 +2,8 @@
 from swarms.logo import logo2
 print(logo2)
 
-#from swarms.orchestrator.autoscaler import AutoScaler
-
 # worker
-# from swarms.workers.worker_node import WorkerNode
+import swarms.workers
-from swarms.workers.worker import Worker
 
 #boss
 # from swarms.boss.boss_node import Boss
@@ -15,14 +12,10 @@ from swarms.workers.worker import Worker
 import swarms.models
 
 #structs
-from swarms.structs.workflow import Workflow
+import swarms.structs
-from swarms.structs.task import Task
 
 # swarms
 import swarms.swarms
 
 #agents
-from swarms.swarms.profitpilot import ProfitPilot
+import swarms.agents
-from swarms.agents.aot_agent import AOTAgent
-from swarms.agents.multi_modal_agent import MultiModalVisualAgent
-from swarms.agents.omni_modal_agent import OmniModalAgent

swarms/structs/__init__.py

@@ -0,0 +1,3 @@
+#structs
+from swarms.structs.workflow import Workflow
+from swarms.structs.task import Task

swarms/workers/__init__.py

@@ -0,0 +1 @@
+from swarms.workers.worker import Worker

swarms/workers/worker_ultra_node.py

@@ -1,123 +0,0 @@
-import logging
-import os
-import re
-from pathlib import Path
-from typing import Dict, List
-
-from swarms.agents.utils.agent_creator import AgentCreator
-from swarms.tools.main import (
-    BaseToolSet,
-    CodeEditor,
-    ExitConversation,
-    RequestsGet,
-    Terminal,
-)
-from swarms.utils.main import (
-    BaseHandler,
-    CsvToDataframe,
-    FileHandler,
-    FileType,
-    StaticUploader,
-)
-
-logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
-BASE_DIR = Path(__file__).resolve().parent.parent
-# Check if "PLAYGROUND_DIR" environment variable exists, if not, set a default value
-playground = os.environ.get("PLAYGROUND_DIR", './playground')
-# Ensure the path exists before changing the directory
-os.makedirs(BASE_DIR / playground, exist_ok=True)
-
-try:
-    os.chdir(BASE_DIR / playground)
-except Exception as e:
-    logging.error(f"Failed to change directory: {e}")
-
-class WorkerUltraNode:
-    def __init__(self, objective: str, openai_api_key: str):
-        self.openai_api_key = openai_api_key 
-
-        if not isinstance(objective, str):
-            raise TypeError("Objective must be a string")
-        if not objective:
-            raise ValueError("Objective cannot be empty")
-        
-        toolsets: List[BaseToolSet] = [
-            Terminal(),
-            CodeEditor(),
-            RequestsGet(),
-            ExitConversation(),
-        ]
-        handlers: Dict[FileType, BaseHandler] = {FileType.DATAFRAME: CsvToDataframe()}
-
-        if os.environ.get("USE_GPU", False):
-            import torch
-
-            from swarms.tools.main import (
-                ImageCaptioning,
-                ImageEditing,
-                InstructPix2Pix,
-                Text2Image,
-                VisualQuestionAnswering,
-            )
-
-            if torch.cuda.is_available():
-                toolsets.extend(
-                    [
-                        Text2Image("cuda"),
-                        ImageEditing("cuda"),
-                        InstructPix2Pix("cuda"),
-                        VisualQuestionAnswering("cuda"),
-                    ]
-                )
-                handlers[FileType.IMAGE] = ImageCaptioning("cuda")
-
-        try:
-            self.agent_manager = AgentCreator.create(toolsets=toolsets)
-            self.file_handler = FileHandler(handlers=handlers, path=BASE_DIR)
-            self.uploader = StaticUploader.from_settings(
-                path=BASE_DIR / "static", endpoint="static"
-            )
-            self.session = self.agent_manager.create_executor(objective, self.openai_api_key)
-
-        except Exception as e:
-            logging.error(f"Error while initializing WorkerUltraNode: {str(e)}")
-            raise e
-
-    def execute_task(self):
-        # Now the prompt is not needed as an argument
-        promptedQuery = self.file_handler.handle(self.objective)
-
-        try:
-            res = self.session({"input": promptedQuery})
-        except Exception as e:
-            logging.error(f"Error while executing task: {str(e)}")
-            return {"answer": str(e), "files": []}
-
-        files = re.findall(r"\[file://\S*\]", res["output"])
-        files = [file[1:-1].split("file://")[1] for file in files]
-
-        return {
-            "answer": res["output"],
-            "files": [self.uploader.upload(file) for file in files],
-        }
-
-    def execute(self):
-        try:
-            return self.execute_task()
-        except Exception as e:
-            logging.error(f"Error while executing: {str(e)}")
-            raise e
-
-class WorkerUltra:
-    def __init__(self, objective, api_key=None):
-        self.api_key = api_key or os.getenv('OPENAI_API_KEY')
-        if not self.api_key:
-            raise ValueError("API key must be provided either as argument or as an environment variable named 'OPENAI_API_KEY'.")
-        self.worker_node = WorkerUltraNode(objective, self.api_key)
-
-    def execute(self):
-        try:
-            return self.worker_node.execute_task()
-        except Exception as e:
-            logging.error(f"Error while executing: {str(e)}")
-            raise e