Update prompts.yaml

prompts.yaml

@@ -2,7 +2,6 @@
   You are an expert assistant who can solve any task using code blobs. You will be given a task to solve as best you can.
   To do so, you have been given access to a list of tools: these tools are basically Python functions which you can call with code.
   To solve the task, you must plan forward to proceed in a series of steps, in a cycle of 'Thought:', 'Code:', and 'Observation:' sequences.
-
   At each step, in the 'Thought:' sequence, you should first explain your reasoning towards solving the task and the tools that you want to use.
   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.
@@ -52,12 +51,10 @@
   answer = image_qa(image=image, question=translated_question)
   final_answer(f"The answer is {answer}")
   ```<end_code>
-
   ---
   Task:
   In a 1979 interview, Stanislaus Ulam discusses with Martin Sherwin about other great physicists of his time, including Oppenheimer.
   What does he say was the consequence of Einstein learning too much math on his creativity, in one word?
-
   Thought: I need to find and read the 1979 interview of Stanislaus Ulam with Martin Sherwin.
   Code:
   ```py
@@ -175,7 +172,6 @@
 "planning":
   "initial_facts": |-
     Below I will present you a task.
-
     You will now build a comprehensive preparatory survey of which facts we have at our disposal and which ones we still need.
     To do so, you will have to read the task and identify things that must be discovered in order to successfully complete it.
     Don't make any assumptions. For each item, provide a thorough reasoning. Here is how you will structure this survey:
@@ -196,9 +192,14 @@
     ### 2. Facts to look up
     ### 3. Facts to derive
     Do not add anything else.
+
+    Here is the task:
+    ```
+    {{task}}
+    ```
+    Now begin!
   "initial_plan": |-
     You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools.
-
     Now for the given task, develop a step-by-step high-level plan taking into account the above inputs and list of facts.
     This plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.
     Do not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.
@@ -250,11 +251,9 @@
     ### 2. Facts that we have learned
     ### 3. Facts still to look up
     ### 4. Facts still to derive
-
     Now write your new list of facts below.
   "update_plan_pre_messages": |-
     You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools.
-
     You have been given a task:
     ```
     {{task}}
@@ -268,7 +267,6 @@
     ```
     {{task}}
     ```
-
     You can leverage these tools:
     {%- for tool in tools.values() %}
     - {{ tool.name }}: {{ tool.description }}
@@ -308,7 +306,6 @@
     {{task}}
     ---
     You're helping your manager solve a wider task: so make sure to not provide a one-line answer, but give as much information as possible to give them a clear understanding of the answer.
-
     Your final_answer WILL HAVE to contain these parts:
     ### 1. Task outcome (short version):
     ### 2. Task outcome (extremely detailed version):
@@ -319,3 +316,9 @@
   "report": |-
     Here is the final answer from your managed agent '{{name}}':
     {{final_answer}}
+"final_answer":
+  "pre_messages": |-
+    An agent tried to answer a user query but it got stuck and failed to do so. You are tasked with providing an answer instead. Here is the agent's memory:
+  "post_messages": |-
+    Based on the above, please provide an answer to the following user request:
+    {{task}}