fix(classic): register finish result before task continuation

AgentFinished is caught before execute() registers a result, leaving
the finish episode with result=None. The interaction loop sees this as
"episode in progress" and reuses the old finish proposal instead of
calling the LLM for the new task. Register a success result before
continuing so the loop calls propose_action() for the new task.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

classic/original_autogpt/autogpt/app/main.py

@@ -754,6 +754,16 @@ async def run_interaction_loop(
                 logger.info("User chose to exit after task completion.")
                 return
 
+            # Close the finish episode so the loop doesn't reuse it.
+            # AgentFinished is caught before execute() can register
+            # a result, leaving result=None — which the loop
+            # interprets as "episode in progress, reuse proposal".
+            from forge.models.action import ActionSuccessResult
+
+            agent.event_history.register_result(
+                ActionSuccessResult(outputs=e.message)
+            )
+
             # Start new task in same workspace, keeping prior context
             agent.state.task = next_task