Ensure tool execution regardless of long-term memory usage

Modified the `run` method in the Agent class to check and execute tools after generating a response, regardless of whether long-term memory is used or not. This fixes the issue where tools were not being executed when long-term memory was present.

Changes:
- Moved tool execution check and call outside of the long-term memory
  conditional block
- Ensures consistent tool usage across all agent runs

swarms/structs/agent.py

@@ -711,20 +711,16 @@ class Agent:
                 while attempt < self.retry_attempts and not success:
                     try:
                         if self.long_term_memory is not None:
-                            logger.info(
+                            logger.info("Querying long term memory...")
-                                "Querying long term memory..."
-                            )
                             self.memory_query(task_prompt)
 
-                        else:
+                        # Generate response using LLM
-                            response_args = (
+                        response = self.llm(task_prompt, *args, **kwargs)
-                                (task_prompt, *args)
+
-                                if img is None
+                        # Check and execute tools
-                                else (task_prompt, img, *args)
+                        if self.tools is not None:
-                            )
+                            print(f"self.tools is not None: {response}")
-                            response = self.call_llm(
+                            self.parse_and_execute_tools(response)
-                                *response_args, **kwargs
-                            )
 
                         # Log the step metadata
                         logged = self.log_step_metadata(