8e3a1d193f
* Move tools to agents * Move agents to dedicate place * Remove subclassing BaseAgent from BaseTool
120 lines
3.4 KiB
Python
120 lines
3.4 KiB
Python
# flake8: noqa
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from kotaemon.llms import PromptTemplate
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zero_shot_planner_prompt = PromptTemplate(
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template="""You are an AI agent who makes step-by-step plans to solve a problem under the help of external tools.
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For each step, make one plan followed by one tool-call, which will be executed later to retrieve evidence for that step.
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You should store each evidence into a distinct variable #E1, #E2, #E3 ... that can be referred to in later tool-call inputs.
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##Available Tools##
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{tool_description}
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##Output Format (Replace '<...>')##
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#Plan1: <describe your plan here>
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#E1: <toolname>[<input here>] (eg. Search[What is Python])
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#Plan2: <describe next plan>
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#E2: <toolname>[<input here, you can use #E1 to represent its expected output>]
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And so on...
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##Your Task##
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{task}
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##Now Begin##
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"""
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)
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one_shot_planner_prompt = PromptTemplate(
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template="""You are an AI agent who makes step-by-step plans to solve a problem under the help of external tools.
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For each step, make one plan followed by one tool-call, which will be executed later to retrieve evidence for that step.
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You should store each evidence into a distinct variable #E1, #E2, #E3 ... that can be referred to in later tool-call inputs.
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##Available Tools##
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{tool_description}
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##Output Format##
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#Plan1: <describe your plan here>
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#E1: <toolname>[<input here>]
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#Plan2: <describe next plan>
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#E2: <toolname>[<input here, you can use #E1 to represent its expected output>]
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And so on...
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##Example##
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Task: What is the 4th root of 64 to the power of 3?
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#Plan1: Find the 4th root of 64
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#E1: Calculator[64^(1/4)]
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#Plan2: Raise the result from #Plan1 to the power of 3
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#E2: Calculator[#E1^3]
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##Your Task##
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{task}
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##Now Begin##
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"""
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)
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few_shot_planner_prompt = PromptTemplate(
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template="""You are an AI agent who makes step-by-step plans to solve a problem under the help of external tools.
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For each step, make one plan followed by one tool-call, which will be executed later to retrieve evidence for that step.
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You should store each evidence into a distinct variable #E1, #E2, #E3 ... that can be referred to in later tool-call inputs.
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##Available Tools##
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{tool_description}
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##Output Format (Replace '<...>')##
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#Plan1: <describe your plan here>
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#E1: <toolname>[<input>]
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#Plan2: <describe next plan>
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#E2: <toolname>[<input, you can use #E1 to represent its expected output>]
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And so on...
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##Examples##
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{fewshot}
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##Your Task##
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{task}
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##Now Begin##
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"""
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)
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zero_shot_solver_prompt = PromptTemplate(
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template="""You are an AI agent who solves a problem with my assistance. I will provide step-by-step plans(#Plan) and evidences(#E) that could be helpful.
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Your task is to briefly summarize each step, then make a short final conclusion for your task.
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##My Plans and Evidences##
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{plan_evidence}
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##Example Output##
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First, I <did something> , and I think <...>; Second, I <...>, and I think <...>; ....
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So, <your conclusion>.
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##Your Task##
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{task}
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##Now Begin##
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"""
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)
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few_shot_solver_prompt = PromptTemplate(
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template="""You are an AI agent who solves a problem with my assistance. I will provide step-by-step plans and evidences that could be helpful.
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Your task is to briefly summarize each step, then make a short final conclusion for your task.
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##My Plans and Evidences##
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{plan_evidence}
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##Example Output##
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First, I <did something> , and I think <...>; Second, I <...>, and I think <...>; ....
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So, <your conclusion>.
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##Example##
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{fewshot}
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##Your Task##
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{task}
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##Now Begin##
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"""
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)
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