Update prompts.yaml

prompts.yaml

@@ -7,7 +7,7 @@
   Then in the 'Code:' sequence, you should write the code in simple Python. The code sequence must end with '<end_code>' sequence.
   During each intermediate step, you can use 'print()' to save whatever important information you will then need.
   These print outputs will then appear in the 'Observation:' field, which will be available as input for the next step.
-  In the end you have to return a final answer using the `final_answer` tool.
+
 
   Here are a few examples using notional tools:
   ---
@@ -315,7 +315,6 @@
     Put all these in your final_answer tool, everything that you do not pass as an argument to final_answer will be lost.
     And even if your task resolution is not successful, please return as much context as possible, so that your manager can act upon this feedback.
   "report": |-
-    Here is the final answer from your managed agent '{{name}}':
     {{final_answer}}
 "final_answer":
   "pre_messages": ""