[DOCS][GOALS][CORPORATE]

agents_from_yaml_example.py

@@ -1,6 +1,8 @@
 from loguru import logger
 from dotenv import load_dotenv
-from swarms.agents.create_agents_from_yaml import create_agents_from_yaml
+from swarms.agents.create_agents_from_yaml import (
+    create_agents_from_yaml,
+)
 
 # Load environment variables
 load_dotenv()
@@ -13,7 +15,7 @@
     task_results = create_agents_from_yaml(
         yaml_file, return_type="tasks"
     )
-    
+
     logger.info(f"Results from agents: {task_results}")
 except Exception as e:
     logger.error(f"An error occurred: {e}")

docs/mkdocs.yml

@@ -238,4 +238,4 @@ nav:
     - The Ultimate Technical Guide to the Swarms CLI; A Step-by-Step Developers Guide: "swarms/cli/cli_guide.md"
   - Corporate:
     - Hiring: "corporate/hiring.md"
-
+    - Swarms Goals & Milestone Tracking; A Vision for 2024 and Beyond: "corporate/2024_2025_goals.md"

swarms/agents/create_agents_from_yaml.py

@@ -58,7 +58,10 @@ def create_agents_from_yaml(
         logger.info(f"Creating agent: {agent_config['agent_name']}")
 
         # Get the OpenAI API key from environment or YAML config
-        api_key = os.getenv("OPENAI_API_KEY") or agent_config["model"]["openai_api_key"]
+        api_key = (
+            os.getenv("OPENAI_API_KEY")
+            or agent_config["model"]["openai_api_key"]
+        )
 
         # Create an instance of OpenAIChat model
         model = OpenAIChat(
@@ -78,7 +81,7 @@ def create_agents_from_yaml(
             raise ValueError(
                 f"System prompt is missing for agent: {agent_config['agent_name']}"
             )
-        
+
         # Initialize the agent using the configuration
         agent = Agent(
             agent_name=agent_config["agent_name"],
@@ -148,4 +151,3 @@ def create_agents_from_yaml(
     else:
         logger.error(f"Invalid return_type: {return_type}")
         raise ValueError(f"Invalid return_type: {return_type}")
-

swarms/cli/create_agent.py

@@ -79,6 +79,6 @@ def run_agent_by_name(name: str, task: str, *args, **kwargs):
     return output
 
 
-# Test
-out = create_agent("Accountant1", "Prepares financial statements")
-print(out)
+# # Test
+# out = create_agent("Accountant1", "Prepares financial statements")
+# print(out)

swarms/cli/main.py

@@ -107,7 +107,13 @@ def main():
     # Adding arguments for different commands
     parser.add_argument(
         "command",
-        choices=["onboarding", "help", "get-api-key", "check-login", "run-agents"],
+        choices=[
+            "onboarding",
+            "help",
+            "get-api-key",
+            "check-login",
+            "run-agents",
+        ],
         help="Command to run",
     )
     parser.add_argument(
@@ -139,5 +145,6 @@ def main():
             "[bold red]Unknown command! Type 'help' for usage.[/bold red]"
         )
 
+
 if __name__ == "__main__":
     main()

swarms/cli/onboarding_process.py

@@ -89,10 +89,10 @@ def save_data(self, retry_attempts: int = 3) -> None:
                 #     # )
                 # with open(self.cache_save_path, "w") as f:
                 #     json.dump(combined_data, f, indent=4)
-                    # logger.info(
-                    #     "User and system data successfully cached in {}",
-                    #     self.cache_save_path,
-                    # )
+                # logger.info(
+                #     "User and system data successfully cached in {}",
+                #     self.cache_save_path,
+                # )
                 return  # Exit the function if saving was successful
             except Exception as e:
                 logger.error(
@@ -138,7 +138,7 @@ def ask_input(self, prompt: str, key: str) -> None:
                 )
             self.user_data[key] = response.strip()
             self.save_data()
-            
+
             return response
         except ValueError as e:
             logger.warning(e)
@@ -175,8 +175,12 @@ def collect_user_info(self) -> None:
             "workspace_dir",
         )
         os.environ["WORKSPACE_DIR"] = workspace
-        logger.info("Important: Please ensure you have set your WORKSPACE_DIR environment variable as per the instructions provided.")
-        logger.info("Additionally, remember to add your API keys for your respective models in your .env file.")
+        logger.info(
+            "Important: Please ensure you have set your WORKSPACE_DIR environment variable as per the instructions provided."
+        )
+        logger.info(
+            "Additionally, remember to add your API keys for your respective models in your .env file."
+        )
         logger.success("Onboarding process completed successfully!")
 
     def run(self) -> None: