diff --git a/swarms/agents/base.py b/swarms/agents/base.py
new file mode 100644
index 00000000..57618ff8
--- /dev/null
+++ b/swarms/agents/base.py
@@ -0,0 +1,27 @@
+class AbsractAgent:
+    def __init__(
+        self,
+        llm,
+        temperature
+    ) -> None:
+        pass
+    
+    #single query
+    def run(self, task: str):
+        pass
+
+    # # conversational back and forth
+    # def chat(self, message: str):
+    #     message_historys = []
+    #     message_historys.append(message)
+
+    #     reply = self.run(message)
+    #     message_historys.append(reply)
+
+    #     return message_historys
+
+    # def step(self, message):
+    #     pass
+
+    # def reset(self):
+    #     pass
diff --git a/swarms/agents/omni_modal_agent.py b/swarms/agents/omni_modal_agent.py
index dbb1bd15..5a14c3bc 100644
--- a/swarms/agents/omni_modal_agent.py
+++ b/swarms/agents/omni_modal_agent.py
@@ -103,6 +103,7 @@ class OmniModalAgent:
         self.chat_planner = load_chat_planner(llm)
         self.response_generator = load_response_generator(llm)
         # self.task_executor = TaskExecutor
+        self.history = []
     
 
     def run(
diff --git a/swarms/models/base.py b/swarms/models/base.py
index 3e747a50..cb3ecbf5 100644
--- a/swarms/models/base.py
+++ b/swarms/models/base.py
@@ -3,7 +3,7 @@ from abc import ABC, abstractmethod
 class AbstractModel(ABC):
     #abstract base class for language models
     @abstractmethod
-    def generate(self, prompt):
+    def run(self, prompt):
         #generate text using language model
         pass
 
diff --git a/swarms/tools/autogpt.py b/swarms/tools/autogpt.py
index 611f2a3e..33582a06 100644
--- a/swarms/tools/autogpt.py
+++ b/swarms/tools/autogpt.py
@@ -132,7 +132,9 @@ import interpreter
 @tool
 def compile(task: str):
     """
-    Open Interpreter lets LLMs run code (Python, Javascript, Shell, and more) locally. You can chat with Open Interpreter through a ChatGPT-like interface in your terminal by running $ interpreter after installing.
+    Open Interpreter lets LLMs run code (Python, Javascript, Shell, and more) locally. 
+    You can chat with Open Interpreter through a ChatGPT-like interface in your terminal 
+    by running $ interpreter after installing.
 
     This provides a natural-language interface to your computer's general-purpose capabilities:
 
@@ -142,7 +144,6 @@ def compile(task: str):
     ...etc.
     ⚠️ Note: You'll be asked to approve code before it's run.
     """
-
     task = interpreter.chat(task, return_messages=True)
     interpreter.chat()
     interpreter.reset(task)
@@ -156,7 +157,6 @@ def compile(task: str):
 
 
 # mm model workers
-
 import torch
 from PIL import Image
 from transformers import (
diff --git a/swarms/tools/stt.py b/swarms/tools/stt.py
index 22327115..65b12306 100644
--- a/swarms/tools/stt.py
+++ b/swarms/tools/stt.py
@@ -39,7 +39,6 @@ class SpeechToText:
         subprocess.run(["pip", "install", "pydub"])
         
 
-    
     def download_youtube_video(self):
         audio_file = f'video.{self.audio_format}'
         
diff --git a/swarms/workers/worker.py b/swarms/workers/worker.py
index be729253..5753aeef 100644
--- a/swarms/workers/worker.py
+++ b/swarms/workers/worker.py
@@ -142,7 +142,7 @@ class Worker:
             query_website_tool,
             HumanInputRun(),
             compile,
-            # VQAinference
+            # VQAinference,
         ]
         if external_tools is not None:
             self.tools.extend(external_tools)
@@ -310,7 +310,4 @@ class Worker:
         
         """
         for token in response.split():
-            yield token
-
-
-
+            yield token
\ No newline at end of file