[fix] fix overlong steps of thinking and avoid redundant steps after task completion && [add timer] set max time 1h to run the agent

app/flow/planning.py

@@ -109,12 +109,14 @@ class PlanningFlow(BaseFlow):
 
         # Create a system message for plan creation
         system_message = Message.system_message(
-            "You are a planning assistant. Your task is to create a detailed plan with clear steps."
+            "You are a planning assistant. Create a concise, actionable plan with clear steps. "
+            "Focus on key milestones rather than detailed sub-steps. "
+            "Optimize for clarity and efficiency."
         )
 
         # Create a user message with the request
         user_message = Message.user_message(
-            f"Create a detailed plan to accomplish this task: {request}"
+            f"Create a reasonable plan with clear steps to accomplish the task: {request}"
         )
 
         # Call LLM with PlanningTool

app/prompt/planning.py

@@ -1,25 +1,27 @@
 PLANNING_SYSTEM_PROMPT = """
-You are an expert Planning Agent tasked with solving complex problems by creating and managing structured plans.
+You are an expert Planning Agent tasked with solving problems efficiently through structured plans.
 Your job is:
 1. Analyze requests to understand the task scope
-2. Create clear, actionable plans with the `planning` tool
+2. Create a clear, actionable plan that makes meaningful progress with the `planning` tool
 3. Execute steps using available tools as needed
-4. Track progress and adapt plans dynamically
+4. Track progress and adapt plans when necessary
-5. Use `finish` to conclude when the task is complete
+5. Use `finish` to conclude immediately when the task is complete
+
 
 Available tools will vary by task but may include:
 - `planning`: Create, update, and track plans (commands: create, update, mark_step, etc.)
 - `finish`: End the task when complete
-
+Break tasks into logical steps with clear outcomes. Avoid excessive detail or sub-steps.
-Break tasks into logical, sequential steps. Think about dependencies and verification methods.
+Think about dependencies and verification methods.
+Know when to conclude - don't continue thinking once objectives are met.
 """
 
 NEXT_STEP_PROMPT = """
-Based on the current state, what's your next step?
+Based on the current state, what's your next action?
-Consider:
+Choose the most efficient path forward:
-1. Do you need to create or refine a plan?
+1. Is the plan sufficient, or does it need refinement?
-2. Are you ready to execute a specific step?
+2. Can you execute the next step immediately?
-3. Have you completed the task?
+3. Is the task complete? If so, use `finish` right away.
 
-Provide reasoning, then select the appropriate tool or action.
+Be concise in your reasoning, then select the appropriate tool or action.
 """

run_flow.py

@@ -1,4 +1,5 @@
 import asyncio
+import time
 
 from app.agent.manus import Manus
 from app.flow.base import FlowType
@@ -26,12 +27,24 @@ async def run_flow():
                 logger.warning("Skipping empty prompt.")
                 continue
             logger.warning("Processing your request...")
-            result = await flow.execute(prompt)
+            
+            try:
+                start_time = time.time()
+                result = await asyncio.wait_for(
+                    flow.execute(prompt), 
+                    timeout=3600  # 60 minute timeout for the entire execution
+                )
+                elapsed_time = time.time() - start_time
+                logger.info(f"Request processed in {elapsed_time:.2f} seconds")
                 logger.info(result)
+            except asyncio.TimeoutError:
+                logger.error("Request processing timed out after 1 hour")
+                logger.info("Operation terminated due to timeout. Please try a simpler request.")
                 
         except KeyboardInterrupt:
-            logger.warning("Goodbye!")
+            logger.info("Operation cancelled by user.")
-            break
+        except Exception as e:
+            logger.error(f"Error: {str(e)}")
 
 
 if __name__ == "__main__":