Merge with dev

sources/agents/agent.py

@@ -3,10 +3,13 @@ from typing import Tuple, Callable
 from abc import abstractmethod
 import os
 import random
+import time
 
 from sources.memory import Memory
 from sources.utility import pretty_print
 
+random.seed(time.time())
+
 class executorResult:
     """
     A class to store the result of a tool execution.
@@ -106,7 +109,6 @@ class Agent():
         if speech_module is None:
             return
         messages = ["Please be patient sir, I am working on it.",
-                    "At it, sir. In the meantime, how about a joke?",
                     "Computing... I recommand you have a coffee while I work.",
                     "Hold on, I’m crunching numbers.",
                     "Working on it sir, please let me think."]

sources/agents/casual_agent.py

@@ -18,22 +18,23 @@ class CasualAgent(Agent):
             "file_finder": FileFinder(),
             "bash": BashInterpreter()
         }
-        self.role = "talking, advices and philosophical"
+        self.role = "talking, advices, events and philosophical"
     
     def process(self, prompt, speech_module) -> str:
         complete = False
-        exec_success = False
         self.memory.push('user', prompt)
 
         self.wait_message(speech_module)
         while not complete:
-            if exec_success:
-                complete = True
             animate_thinking("Thinking...", color="status")
             answer, reasoning = self.llm_request()
             exec_success, _ = self.execute_modules(answer)
             answer = self.remove_blocks(answer)
             self.last_answer = answer
+            complete = True
+            for tool in self.tools.values():
+                if tool.found_executable_blocks():
+                    complete = False # AI read results and continue the conversation
         return answer, reasoning
 
 if __name__ == "__main__":

sources/agents/code_agent.py

@@ -32,6 +32,7 @@ class CoderAgent(Agent):
             animate_thinking("Thinking...", color="status")
             self.wait_message(speech_module)
             answer, reasoning = self.llm_request()
+            animate_thinking("Executing code...", color="status")
             exec_success, _ = self.execute_modules(answer)
             answer = self.remove_blocks(answer)
             self.last_answer = answer

sources/agents/file_agent.py

@@ -30,6 +30,10 @@ class FileAgent(Agent):
             exec_success, _ = self.execute_modules(answer)
             answer = self.remove_blocks(answer)
             self.last_answer = answer
+            complete = True
+            for name, tool in self.tools.items():
+                if tool.found_executable_blocks():
+                    complete = False # AI read results and continue the conversation
         return answer, reasoning
 
 if __name__ == "__main__":

sources/agents/planner_agent.py

@@ -81,6 +81,9 @@ class PlannerAgent(Agent):
             speech_module.speak(f"I will {task_name}. I assigned the {task['agent']} agent to the task.")
             try:
                 self.agents[task['agent'].lower()].process(agent_prompt, None)
+                pretty_print(f"-- Agent answer ---\n\n", color="output")
+                self.agents[task['agent'].lower()].show_answer()
+                pretty_print(f"\n\n", color="output")
             except Exception as e:
                 pretty_print(f"Error: {e}", color="failure")
                 speech_module.speak(f"I encountered an error: {e}")