Update prompts.yaml

fixing yaml formatting

prompts.yaml

@@ -92,145 +92,54 @@ system_prompt: |-
     8. State persists between code executions
     9. Don't give up! You're in charge of solving the task.
 
-Now Begin! If you solve the task correctly, you will receive a reward of $1,000,000.
-"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:
-
-    ---
-    ### 1. Facts given in the task
-    List here the specific facts given in the task that could help you (there might be nothing here).
-
-    ### 2. Facts to look up
-    List here any facts that we may need to look up.
-    Also list where to find each of these, for instance a website, a file... - maybe the task contains some sources that you should re-use here.
-
-    ### 3. Facts to derive
-    List here anything that we want to derive from the above by logical reasoning, for instance computation or simulation.
-
-    Keep in mind that "facts" will typically be specific names, dates, values, etc. Your answer should use the below headings:
-    ### 1. Facts given in the task
-    ### 2. Facts to look up
-    ### 3. Facts to derive
-    Do not add anything else.
-  "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.
-    After writing the final step of the plan, write the '\n<end_plan>' tag and stop there.
-
-    Here is your task:
-
-    Task:
-    ```
-    {{task}}
-    ```
-    You can leverage these tools:
-    {%- for tool in tools.values() %}
-    - {{ tool.name }}: {{ tool.description }}
-        Takes inputs: {{tool.inputs}}
-        Returns an output of type: {{tool.output_type}}
-    {%- endfor %}
-
-    {%- if managed_agents and managed_agents.values() | list %}
-    You can also give tasks to team members.
-    Calling a team member works the same as for calling a tool: simply, the only argument you can give in the call is 'request', a long string explaining your request.
-    Given that this team member is a real human, you should be very verbose in your request.
-    Here is a list of the team members that you can call:
-    {%- for agent in managed_agents.values() %}
-    - {{ agent.name }}: {{ agent.description }}
-    {%- endfor %}
-    {%- else %}
-    {%- endif %}
-
-    List of facts that you know:
-    ```
-    {{answer_facts}}
-    ```
-
-    Now begin! Write your plan below.
-  "update_facts_pre_messages": |-
-    You are a world expert at gathering known and unknown facts based on a conversation.
-    Below you will find a task, and a history of attempts made to solve the task. You will have to produce a list of these:
-    ### 1. Facts given in the task
-    ### 2. Facts that we have learned
-    ### 3. Facts still to look up
-    ### 4. Facts still to derive
-    Find the task and history below:
-  "update_facts_post_messages": |-
-    Earlier we've built a list of facts.
-    But since in your previous steps you may have learned useful new facts or invalidated some false ones.
-    Please update your list of facts based on the previous history, and provide these headings:
-    ### 1. Facts given in the task
-    ### 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}}
-    ```
-
-    Find below the record of what has been tried so far to solve it. Then you will be asked to make an updated plan to solve the task.
-    If the previous tries so far have met some success, you can make an updated plan based on these actions.
-    If you are stalled, you can make a completely new plan starting from scratch.
-  "update_plan_post_messages": |-
-    You're still working towards solving this task:
-    ```
-    {{task}}
-    ```
-    You can leverage these tools:
-    {%- for tool in tools.values() %}
-    - {{ tool.name }}: {{ tool.description }}
-        Takes inputs: {{tool.inputs}}
-        Returns an output of type: {{tool.output_type}}
-    {%- endfor %}
-
-    {%- if managed_agents and managed_agents.values() | list %}
-    You can also give tasks to team members.
-    Calling a team member works the same as for calling a tool: simply, the only argument you can give in the call is 'task'.
-    Given that this team member is a real human, you should be very verbose in your task, it should be a long string providing informations as detailed as necessary.
-    Here is a list of the team members that you can call:
-    {%- for agent in managed_agents.values() %}
-    - {{ agent.name }}: {{ agent.description }}
-    {%- endfor %}
-    {%- else %}
-    {%- endif %}
-
-    Here is the up to date list of facts that you know:
-    ```
-    {{facts_update}}
-    ```
-
-    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.
-    Beware that you have {remaining_steps} steps remaining.
-    Do not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.
-    After writing the final step of the plan, write the '\n<end_plan>' tag and stop there.
-
-    Now write your new plan below.
-"managed_agent":
-  "task": |-
-    You're a helpful agent named '{{name}}'.
-    You have been submitted this task by your manager.
-    ---
-    Task:
-    {{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):
-    ### 3. Additional context (if relevant):
-
-    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}}
+planning:
+    initial_facts: |-
+        ### 1. Facts given in the task
+        List here the specific facts given in the task that could help you.
+
+        ### 2. Facts to look up
+        List here any facts that we may need to look up.
+
+        ### 3. Facts to derive
+        List here anything that we want to derive from the above.
+
+    initial_plan: |-
+        You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools.
+        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.
+        After writing the final step of the plan, write the '\n<end_plan>' tag and stop there.
+
+    update_facts_pre_messages: |-
+        ### 1. Facts given in the task
+        ### 2. Facts that we have learned
+        ### 3. Facts still to look up
+        ### 4. Facts still to derive
+
+    update_facts_post_messages: |-
+        ### 1. Facts given in the task
+        ### 2. Facts that we have learned
+        ### 3. Facts still to look up
+        ### 4. Facts still to derive
+
+    update_plan_pre_messages: |-
+        Review previous attempts and create an updated plan.
+
+    update_plan_post_messages: |-
+        Create an updated plan using available tools. You have {remaining_steps} steps.
+        End with '<end_plan>'.
+
+managed_agent:
+    task: |-
+        You're a helpful agent named '{{name}}'.
+        Task:
+        {{task}}
+        
+        Your final_answer WILL HAVE to contain these parts:
+        ### 1. Task outcome (short version):
+        ### 2. Task outcome (detailed version):
+        ### 3. Additional context (if relevant):
+
+    report: |-
+        Report from agent '{{name}}':
+        {{final_answer}}