feat(agent): Catch & disallow duplicate commands in LLM response parser (#6937)

Raise in `parse_and_process_response` if the proposed operation is the same as the last executed one.

autogpts/autogpt/autogpt/agents/agent.py

@@ -50,6 +50,7 @@ from .utils.exceptions import (
     AgentException,
     AgentTerminated,
     CommandExecutionError,
+    DuplicateOperationError,
     UnknownCommandError,
 )
 
@@ -186,6 +187,13 @@ class Agent(
             assistant_reply_dict,
         ) = self.prompt_strategy.parse_response_content(llm_response)
 
+        # Check if command_name and arguments are already in the event_history
+        if self.event_history.matches_last_command(command_name, arguments):
+            raise DuplicateOperationError(
+                f"The command {command_name} with arguments {arguments} "
+                f"has been just executed."
+            )
+
         self.log_cycle_handler.log_cycle(
             self.ai_profile.ai_name,
             self.created_at,

autogpts/autogpt/autogpt/models/action_history.py

@@ -9,6 +9,7 @@ from autogpt.processing.text import summarize_text
 from autogpt.prompts.utils import format_numbered_list, indent
 
 if TYPE_CHECKING:
+    from autogpt.agents.base import CommandArgs, CommandName
     from autogpt.config.config import Config
     from autogpt.core.resource.model_providers import ChatModelProvider
 
@@ -159,6 +160,15 @@ class EpisodicActionHistory(BaseModel):
         self.current_episode.result = result
         self.cursor = len(self.episodes)
 
+    def matches_last_command(
+        self, command_name: CommandName, arguments: CommandArgs
+    ) -> bool:
+        """Check if the last command matches the given name and arguments."""
+        if len(self.episodes) > 0:
+            last_command = self.episodes[-1].action
+            return last_command.name == command_name and last_command.args == arguments
+        return False
+
     def rewind(self, number_of_episodes: int = 0) -> None:
         """Resets the history to an earlier state.