fix: Update YAML block scalar indicators for proper template compilation

prompts.yaml

@@ -1,6 +1,6 @@
 prompt_templates:
   system_prompt:
-    text: |-
+    text: |
       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.
@@ -39,17 +39,17 @@ prompt_templates:
       10. Don't give up! You're in charge of solving the task, not providing directions to solve it.
 
   final_answer:
-    text: |-
+    text: |
       You have reached the final step of your task. Use the final_answer tool to submit your answer.
       The answer should be clear, concise, and directly address the original question.
       Format: final_answer(your_answer)
-    pre_messages: |-
+    pre_messages: |
       You are about to submit your final answer. Make sure it is:
       1. Clear and concise
       2. Directly addresses the original question
       3. Based on the information gathered
       4. Uses the final_answer tool correctly
-    post_messages: |-
+    post_messages: |
       You have submitted your final answer. The answer should now be complete and ready for evaluation.
       Remember that your answer should be:
       1. Based on the information you gathered
@@ -58,7 +58,7 @@ prompt_templates:
       4. Using the final_answer tool correctly
 
   planning:
-    initial_facts: |-
+    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.
@@ -74,7 +74,7 @@ prompt_templates:
       ### 3. Facts to derive
       List here anything that we want to derive from the above by logical reasoning, for instance computation or simulation.
 
-    initial_plan: |-
+    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.
@@ -96,7 +96,7 @@ prompt_templates:
       {{ answer_facts }}
       ```
 
-    update_facts_pre_messages: |-
+    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
@@ -104,7 +104,7 @@ prompt_templates:
       ### 3. Facts still to look up
       ### 4. Facts still to derive
 
-    update_facts_post_messages: |-
+    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:
@@ -113,14 +113,14 @@ prompt_templates:
       ### 3. Facts still to look up
       ### 4. Facts still to derive
 
-    update_plan_pre_messages: |-
+    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 }}
       ```
 
-    update_plan_post_messages: |-
+    update_plan_post_messages: |
       You're still working towards solving this task:
       ```
       {{ task }}
@@ -133,7 +133,7 @@ prompt_templates:
       After writing the final step of the plan, write the '\n<end_plan>' tag and stop there.
 
   managed_agent:
-    task: |-
+    task: |
       You're a helpful agent named '{{ name }}'.
       You have been submitted this task by your manager.
       ---
@@ -146,6 +146,6 @@ prompt_templates:
       ### 2. Task outcome (extremely detailed version):
       ### 3. Additional context (if relevant):
 
-    report: |-
+    report: |
       Here is the final answer from your managed agent '{{ name }}':
       {{ final_answer }}