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Update prompts.yaml
Browse files- prompts.yaml +18 -111
prompts.yaml
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@@ -67,123 +67,30 @@ planning:
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3. {step3}
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Validation checkpoint: {validation_step}
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variables: ["step1", "step2", "step3", "validation_step"]
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You will now build a comprehensive preparatory survey of which facts we have at our disposal and which ones we still need.
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Don't make any assumptions. For each item, provide a thorough reasoning. Here is how you will structure this survey:
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---
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### 1. Facts given in the task
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List here the specific facts given in the task that could help you (there might be nothing here).
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### 2. Facts to look up
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List here any facts that we may need to look up.
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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.
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### 3. Facts to derive
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List here anything that we want to derive from the above by logical reasoning, for instance computation or simulation.
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Keep in mind that "facts" will typically be specific names, dates, values, etc. Your answer should use the below headings:
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### 1. Facts given in the task
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### 2. Facts to look up
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### 3. Facts to derive
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Do not add anything else.
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initial_plan: |-
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You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools.
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Do not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.
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After writing the final step of the plan, write the '\n<end_plan>' tag and stop there.
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Here is your task:
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Task:
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```
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{{task}}
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```
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You can leverage these tools:
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{%- for tool in tools.values() %}
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- {{ tool.name }}: {{ tool.description }}
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Takes inputs: {{tool.inputs}}
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Returns an output of type: {{tool.output_type}}
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{%- endfor %}
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{%- if managed_agents and managed_agents.values() | list %}
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You can also give tasks to team members.
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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.
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Given that this team member is a real human, you should be very verbose in your request.
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Here is a list of the team members that you can call:
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{%- for agent in managed_agents.values() %}
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- {{ agent.name }}: {{ agent.description }}
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{%- endfor %}
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{%- else %}
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{%- endif %}
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List of facts that you know:
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```
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{{answer_facts}}
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```
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Now begin! Write your plan below.
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update_facts_pre_messages: |-
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You are a world expert at gathering known and unknown facts based on a conversation.
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### 2. Facts that we have learned
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### 3. Facts still to look up
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### 4. Facts still to derive
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Find the task and history below:
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update_facts_post_messages: |-
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Earlier we've built a list of facts.
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### 1. Facts given in the task
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### 2. Facts that we have learned
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### 3. Facts still to look up
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### 4. Facts still to derive
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Now write your new list of facts below.
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update_plan_pre_messages: |-
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You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools.
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{{task}}
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```
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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.
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If the previous tries so far have met some success, you can make an updated plan based on these actions.
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If you are stalled, you can make a completely new plan starting from scratch.
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update_plan_post_messages: |-
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You're still working towards solving this task
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{{task}}
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```
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You can leverage these tools:
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{%- for tool in tools.values() %}
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- {{ tool.name }}: {{ tool.description }}
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Takes inputs: {{tool.inputs}}
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Returns an output of type: {{tool.output_type}}
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{%- endfor %}
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{%- if managed_agents and managed_agents.values() | list %}
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You can also give tasks to team members.
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Calling a team member works the same as for calling a tool: simply, the only argument you can give in the call is 'task'.
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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.
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Here is a list of the team members that you can call:
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{%- for agent in managed_agents.values() %}
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- {{ agent.name }}: {{ agent.description }}
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{%- endfor %}
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{%- else %}
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{%- endif %}
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Here is the up to date list of facts that you know:
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```
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{{facts_update}}
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```
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Now for the given task, develop a step-by-step high-level plan taking into account the above inputs and list of facts.
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This plan should involve individual tasks based on the available tools, that if executed correctly will yield the correct answer.
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Beware that you have {remaining_steps} steps remaining.
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Do not skip steps, do not add any superfluous steps. Only write the high-level plan, DO NOT DETAIL INDIVIDUAL TOOL CALLS.
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After writing the final step of the plan, write the '\n<end_plan>' tag and stop there.
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Now write your new plan below.
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final_answer:
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template: |
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3. {step3}
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Validation checkpoint: {validation_step}
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variables: ["step1", "step2", "step3", "validation_step"]
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initial_facts:
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template: "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."
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variables: []
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initial_plan: |-
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template: "You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools."
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variables: []
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update_facts_pre_messages: |-
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template: "You are a world expert at gathering known and unknown facts based on a conversation."
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variables: []
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update_facts_post_messages: |-
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template: "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."
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variables: []
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update_plan_pre_messages: |-
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template: "You are a world expert at making efficient plans to solve any task using a set of carefully crafted tools."
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variables: []
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update_plan_post_messages: |-
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template: "You're still working towards solving this task"
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variables: []
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final_answer:
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template: |
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