[CQ]

example.py

@@ -24,4 +24,4 @@ agent = Agent(llm=llm, max_loops=1, dashboard=True)
 
 # Run the workflow on a task
 out = agent.run("Generate a 10,000 word blog on health and wellness.")
-print(out)
+print(out)

swarms/models/gpt4_vision_api.py

@@ -28,6 +28,7 @@ You are an multi-modal autonomous agent. You are given a task and an image. You
 
 """
 
+
 class GPT4VisionAPI:
     """
     GPT-4 Vision API
@@ -455,9 +456,9 @@ class GPT4VisionAPI:
     #         _type_: _description_
     #     """
     #     META_PROMPT = """
-    #     For any labels or markings on an image that you reference in your response, please 
-    #     enclose them in square brackets ([]) and list them explicitly. Do not use ranges; for 
-    #     example, instead of '1 - 4', list as '[1], [2], [3], [4]'. These labels could be 
+    #     For any labels or markings on an image that you reference in your response, please
+    #     enclose them in square brackets ([]) and list them explicitly. Do not use ranges; for
+    #     example, instead of '1 - 4', list as '[1], [2], [3], [4]'. These labels could be
     #     numbers or letters and typically correspond to specific segments or parts of the image.
     #     """
     #     return META_PROMPT

swarms/models/openai_models.py

@@ -751,9 +751,9 @@ class OpenAIChat(BaseLLM):
 
     Any parameters that are valid to be passed to the openai.create call can be passed
     in, even if not explicitly saved on this class.
-    
+
     Args:
-    
+
         model_name: The model name to use.
         model_kwargs: Any additional kwargs to pass to the model.
         openai_api_key: The OpenAI API key to use.
@@ -764,8 +764,8 @@ class OpenAIChat(BaseLLM):
         streaming: Whether to stream the results or not.
         allowed_special: Set of special tokens that are allowed。
         disallowed_special: Set of special tokens that are not allowed。
-        
-        
+
+
 
     Example:
         .. code-block:: python

swarms/structs/agent.py

@@ -9,20 +9,19 @@ from typing import Any, Callable, Dict, List, Optional, Tuple
 
 from termcolor import colored
 
-from swarms.tools.tool import BaseTool
-from swarms.utils.code_interpreter import SubprocessCodeInterpreter
-from swarms.utils.parse_code import extract_code_in_backticks_in_string
+from swarms.prompts.agent_system_prompts import FLOW_SYSTEM_PROMPT
 from swarms.prompts.multi_modal_autonomous_instruction_prompt import (
     MULTI_MODAL_AUTO_AGENT_SYSTEM_PROMPT_1,
 )
-from swarms.utils.pdf_to_text import pdf_to_text
-
 from swarms.prompts.tools import (
     DYNAMIC_STOP_PROMPT,
     DYNAMICAL_TOOL_USAGE,
     SCENARIOS,
 )
-from swarms.prompts.agent_system_prompts import FLOW_SYSTEM_PROMPT
+from swarms.tools.tool import BaseTool
+from swarms.utils.code_interpreter import SubprocessCodeInterpreter
+from swarms.utils.parse_code import extract_code_in_backticks_in_string
+from swarms.utils.pdf_to_text import pdf_to_text
 
 
 def autonomous_agent_prompt(