mirror of
https://github.com/aljazceru/Auto-GPT.git
synced 2025-12-17 22:14:28 +01:00
wrap infinite loop in class agent
This commit is contained in:
Merwane Hamadi
226
scripts/main.py
226
scripts/main.py
@@ -351,110 +351,148 @@ def main():
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# this is particularly important for indexing and referencing pinecone memory
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# this is particularly important for indexing and referencing pinecone memory
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memory = get_memory(cfg, init=True)
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memory = get_memory(cfg, init=True)
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print('Using memory of type: ' + memory.__class__.__name__)
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print('Using memory of type: ' + memory.__class__.__name__)
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# Interaction Loop
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agent = Agent(
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loop_count = 0
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ai_name=ai_name,
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while True:
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memory=memory,
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# Discontinue if continuous limit is reached
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full_message_history=full_message_history,
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loop_count += 1
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next_action_count=next_action_count,
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if cfg.continuous_mode and cfg.continuous_limit > 0 and loop_count > cfg.continuous_limit:
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prompt=prompt,
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logger.typewriter_log("Continuous Limit Reached: ", Fore.YELLOW, f"{cfg.continuous_limit}")
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user_input=user_input
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break
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)
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agent.start_interaction_loop()
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# Send message to AI, get response
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with Spinner("Thinking... "):
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assistant_reply = chat.chat_with_ai(
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prompt,
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user_input,
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full_message_history,
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memory,
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cfg.fast_token_limit) # TODO: This hardcodes the model to use GPT3.5. Make this an argument
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# Print Assistant thoughts
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class Agent:
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print_assistant_thoughts(assistant_reply)
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"""Agent class for interacting with Auto-GPT.
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# Get command name and arguments
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Attributes:
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try:
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ai_name: The name of the agent.
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command_name, arguments = cmd.get_command(
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memory: The memory object to use.
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attempt_to_fix_json_by_finding_outermost_brackets(assistant_reply))
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full_message_history: The full message history.
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if cfg.speak_mode:
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next_action_count: The number of actions to execute.
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speak.say_text(f"I want to execute {command_name}")
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prompt: The prompt to use.
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except Exception as e:
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user_input: The user input.
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logger.error("Error: \n", str(e))
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if not cfg.continuous_mode and next_action_count == 0:
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"""
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### GET USER AUTHORIZATION TO EXECUTE COMMAND ###
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def __init__(self,
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# Get key press: Prompt the user to press enter to continue or escape
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ai_name,
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# to exit
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memory,
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user_input = ""
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full_message_history,
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logger.typewriter_log(
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next_action_count,
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"NEXT ACTION: ",
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prompt,
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Fore.CYAN,
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user_input):
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f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL} ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}")
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self.ai_name = ai_name
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print(
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self.memory = memory
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f"Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for {ai_name}...",
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self.full_message_history = full_message_history
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flush=True)
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self.next_action_count = next_action_count
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while True:
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self.prompt = prompt
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console_input = utils.clean_input(Fore.MAGENTA + "Input:" + Style.RESET_ALL)
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self.user_input = user_input
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if console_input.lower().rstrip() == "y":
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user_input = "GENERATE NEXT COMMAND JSON"
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break
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elif console_input.lower().startswith("y -"):
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try:
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next_action_count = abs(int(console_input.split(" ")[1]))
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user_input = "GENERATE NEXT COMMAND JSON"
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except ValueError:
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print("Invalid input format. Please enter 'y -n' where n is the number of continuous tasks.")
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continue
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break
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elif console_input.lower() == "n":
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user_input = "EXIT"
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break
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else:
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user_input = console_input
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command_name = "human_feedback"
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break
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if user_input == "GENERATE NEXT COMMAND JSON":
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def start_interaction_loop(self):
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logger.typewriter_log(
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# Interaction Loop
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"-=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=",
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loop_count = 0
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Fore.MAGENTA,
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while True:
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"")
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# Discontinue if continuous limit is reached
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elif user_input == "EXIT":
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loop_count += 1
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print("Exiting...", flush=True)
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if cfg.continuous_mode and cfg.continuous_limit > 0 and loop_count > cfg.continuous_limit:
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logger.typewriter_log("Continuous Limit Reached: ", Fore.YELLOW, f"{cfg.continuous_limit}")
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break
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break
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else:
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# Print command
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logger.typewriter_log(
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"NEXT ACTION: ",
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Fore.CYAN,
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f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL} ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}")
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# Execute command
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# Send message to AI, get response
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if command_name is not None and command_name.lower().startswith("error"):
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with Spinner("Thinking... "):
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result = f"Command {command_name} threw the following error: " + arguments
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assistant_reply = chat.chat_with_ai(
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elif command_name == "human_feedback":
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self.prompt,
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result = f"Human feedback: {user_input}"
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self.user_input,
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else:
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self.full_message_history,
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result = f"Command {command_name} returned: {cmd.execute_command(command_name, arguments)}"
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self.memory,
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if next_action_count > 0:
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cfg.fast_token_limit) # TODO: This hardcodes the model to use GPT3.5. Make this an argument
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next_action_count -= 1
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memory_to_add = f"Assistant Reply: {assistant_reply} " \
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# Print Assistant thoughts
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f"\nResult: {result} " \
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print_assistant_thoughts(assistant_reply)
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f"\nHuman Feedback: {user_input} "
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memory.add(memory_to_add)
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# Get command name and arguments
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try:
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command_name, arguments = cmd.get_command(
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attempt_to_fix_json_by_finding_outermost_brackets(assistant_reply))
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if cfg.speak_mode:
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speak.say_text(f"I want to execute {command_name}")
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except Exception as e:
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logger.error("Error: \n", str(e))
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# Check if there's a result from the command append it to the message
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if not cfg.continuous_mode and self.next_action_count == 0:
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# history
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### GET USER AUTHORIZATION TO EXECUTE COMMAND ###
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if result is not None:
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# Get key press: Prompt the user to press enter to continue or escape
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full_message_history.append(chat.create_chat_message("system", result))
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# to exit
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logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result)
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self.user_input = ""
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else:
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logger.typewriter_log(
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full_message_history.append(
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"NEXT ACTION: ",
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chat.create_chat_message(
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Fore.CYAN,
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"system", "Unable to execute command"))
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f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL} ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}")
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logger.typewriter_log("SYSTEM: ", Fore.YELLOW, "Unable to execute command")
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print(
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f"Enter 'y' to authorise command, 'y -N' to run N continuous commands, 'n' to exit program, or enter feedback for {self.ai_name}...",
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flush=True)
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while True:
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console_input = utils.clean_input(Fore.MAGENTA + "Input:" + Style.RESET_ALL)
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if console_input.lower().rstrip() == "y":
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self.user_input = "GENERATE NEXT COMMAND JSON"
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break
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elif console_input.lower().startswith("y -"):
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try:
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self.next_action_count = abs(int(console_input.split(" ")[1]))
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self.user_input = "GENERATE NEXT COMMAND JSON"
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except ValueError:
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print("Invalid input format. Please enter 'y -n' where n is the number of continuous tasks.")
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continue
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break
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elif console_input.lower() == "n":
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self.user_input = "EXIT"
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break
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else:
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self.user_input = console_input
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command_name = "human_feedback"
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break
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if self.user_input == "GENERATE NEXT COMMAND JSON":
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logger.typewriter_log(
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"-=-=-=-=-=-=-= COMMAND AUTHORISED BY USER -=-=-=-=-=-=-=",
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Fore.MAGENTA,
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"")
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elif self.user_input == "EXIT":
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print("Exiting...", flush=True)
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break
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else:
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# Print command
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logger.typewriter_log(
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"NEXT ACTION: ",
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Fore.CYAN,
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f"COMMAND = {Fore.CYAN}{command_name}{Style.RESET_ALL} ARGUMENTS = {Fore.CYAN}{arguments}{Style.RESET_ALL}")
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# Execute command
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if command_name is not None and command_name.lower().startswith("error"):
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result = f"Command {command_name} threw the following error: " + arguments
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elif command_name == "human_feedback":
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result = f"Human feedback: {self.user_input}"
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else:
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result = f"Command {command_name} returned: {cmd.execute_command(command_name, arguments)}"
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if self.next_action_count > 0:
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self.next_action_count -= 1
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memory_to_add = f"Assistant Reply: {assistant_reply} " \
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f"\nResult: {result} " \
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f"\nHuman Feedback: {self.user_input} "
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self.memory.add(memory_to_add)
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# Check if there's a result from the command append it to the message
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# history
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if result is not None:
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self.full_message_history.append(chat.create_chat_message("system", result))
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logger.typewriter_log("SYSTEM: ", Fore.YELLOW, result)
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else:
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self.full_message_history.append(
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chat.create_chat_message(
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"system", "Unable to execute command"))
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logger.typewriter_log("SYSTEM: ", Fore.YELLOW, "Unable to execute command")
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if __name__ == "__main__":
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if __name__ == "__main__":
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