[CLEANUP][EXAMPLE]

README.md

@@ -33,7 +33,6 @@ Run example in Collab: <a target="_blank" href="https://colab.research.google.co
 - Enterprise Grade + Production Grade: `Agent` is designed and optimized for automating real-world tasks at scale!
 
 ```python
-
 import os
 
 from dotenv import load_dotenv
@@ -55,12 +54,12 @@ llm = OpenAIChat(
 )
 
 
-## Initialize the Agent
-agent = Agent(llm=llm, max_loops=1, dashboard=True)
+## Initialize the workflow
+agent = Agent(llm=llm, max_loops=1, autosave=True, dashboard=True)
 
-# Run the Agent on a task
+# Run the workflow on a task
 out = agent.run("Generate a 10,000 word blog on health and wellness.")
-
+print(out)
 
 
 ```

example.py

@@ -20,7 +20,12 @@ llm = OpenAIChat(
 
 
 ## Initialize the workflow
-agent = Agent(llm=llm, max_loops=1, dashboard=True, autosave=True)
+agent = Agent(
+    llm=llm,
+    max_loops=1,
+    autosave=True,
+    dashboard=True,
+)
 
 # Run the workflow on a task
 out = agent.run("Generate a 10,000 word blog on health and wellness.")

playground/tools/tool_prompt_scaper.py

@@ -3,6 +3,7 @@ from swarms.tools.tool_func_doc_scraper import scrape_tool_func_docs
 
 # Define a tool by decorating a function with the tool decorator and providing a docstring
 
+
 @tool(return_direct=True)
 def search_api(query: str):
     """Search the web for the query

swarms/structs/agent.py

@@ -216,6 +216,7 @@ class Agent:
         self.system_prompt = system_prompt
         self.agent_name = agent_name
         self.agent_description = agent_description
+        self.saved_state_path = saved_state_path
         self.saved_state_path = f"{self.agent_name}_state.json"
         self.autosave = autosave
         self.response_filters = []

swarms/tools/__init__.py

@@ -1,3 +1,3 @@
 from swarms.tools.tool_func_doc_scraper import scrape_tool_func_docs
 
-__all__ = ["scrape_tool_func_docs"]
+__all__ = ["scrape_tool_func_docs"]

swarms/tools/tool_func_doc_scraper.py

@@ -2,6 +2,7 @@ import inspect
 from typing import Callable
 from termcolor import colored
 
+
 def scrape_tool_func_docs(fn: Callable) -> str:
     """
     Scrape the docstrings and parameters of a function decorated with `tool` and return a formatted string.
@@ -13,7 +14,6 @@ def scrape_tool_func_docs(fn: Callable) -> str:
         str: A string containing the function's name, documentation string, and a list of its parameters. Each parameter is represented as a line containing the parameter's name, default value, and annotation.
     """
     try:
-            
         # If the function is a tool, get the original function
         if hasattr(fn, "func"):
             fn = fn.func
@@ -33,4 +33,13 @@ def scrape_tool_func_docs(fn: Callable) -> str:
             f" {inspect.getdoc(fn)}\nParameters:\n{parameters_str}"
         )
     except Exception as error:
-        print(colored(f"Error scraping tool function docs {error} try optimizing your inputs with different variables and attempt once more.", "red"))
+        print(
+            colored(
+                (
+                    f"Error scraping tool function docs {error} try"
+                    " optimizing your inputs with different"
+                    " variables and attempt once more."
+                ),
+                "red",
+            )
+        )