identation Error

prompts.yaml

@@ -208,101 +208,101 @@
 
     Here is your task:
     Task:
-{{task}}
-textYou 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}}
-textNow 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}}
-textFind 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}}
-textYou 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}}
-textNow 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.
+    {{task}}
+    textYou 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}}
+    textNow 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}}
+    textFind 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}}
+    textYou 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}}
+    textNow 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}}
+  "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}}