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多轮对话
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@ -9,6 +9,9 @@ DEFAULT_TRIGGERING_PROMPT = (
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"Determine which next command to use, and respond using the format specified above"
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)
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DEFAULT_PROMPT_OHTER = (
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"Previous response was excellent. Please response according to the requirements based on the new goal"
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)
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def build_default_prompt_generator() -> PromptGenerator:
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"""
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@ -27,10 +30,10 @@ def build_default_prompt_generator() -> PromptGenerator:
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# "~4000 word limit for short term memory. Your short term memory is short, so"
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# " immediately save important information to files."
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# )
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# prompt_generator.add_constraint(
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# "If you are unsure how you previously did something or want to recall past"
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# " events, thinking about similar events will help you remember."
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# )
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prompt_generator.add_constraint(
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"If you are unsure how you previously did something or want to recall past"
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" events, thinking about similar events will help you remember."
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)
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# prompt_generator.add_constraint("No user assistance")
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prompt_generator.add_constraint(
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@ -57,16 +60,16 @@ def build_default_prompt_generator() -> PromptGenerator:
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# prompt_generator.add_resource("File output.")
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# Add performance evaluations to the PromptGenerator object
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# prompt_generator.add_performance_evaluation(
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# "Continuously review and analyze your actions to ensure you are performing to"
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# " the best of your abilities."
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# )
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# prompt_generator.add_performance_evaluation(
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# "Constructively self-criticize your big-picture behavior constantly."
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# )
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# prompt_generator.add_performance_evaluation(
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# "Reflect on past decisions and strategies to refine your approach."
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# )
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prompt_generator.add_performance_evaluation(
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"Continuously review and analyze your actions to ensure you are performing to"
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" the best of your abilities."
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)
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prompt_generator.add_performance_evaluation(
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"Constructively self-criticize your big-picture behavior constantly."
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)
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prompt_generator.add_performance_evaluation(
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"Reflect on past decisions and strategies to refine your approach."
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)
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# prompt_generator.add_performance_evaluation(
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# "Every command has a cost, so be smart and efficient. Aim to complete tasks in"
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# " the least number of steps."
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