feat: advanced prompt backend (#1301)
Co-authored-by: takatost <takatost@gmail.com>
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@@ -61,36 +61,6 @@ User Input: yo, 你今天咋样?
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User Input:
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"""
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CONVERSATION_SUMMARY_PROMPT = (
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"Please generate a short summary of the following conversation.\n"
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"If the following conversation communicating in English, you should only return an English summary.\n"
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"If the following conversation communicating in Chinese, you should only return a Chinese summary.\n"
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"[Conversation Start]\n"
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"{context}\n"
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"[Conversation End]\n\n"
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"summary:"
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)
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INTRODUCTION_GENERATE_PROMPT = (
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"I am designing a product for users to interact with an AI through dialogue. "
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"The Prompt given to the AI before the conversation is:\n\n"
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"```\n{prompt}\n```\n\n"
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"Please generate a brief introduction of no more than 50 words that greets the user, based on this Prompt. "
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"Do not reveal the developer's motivation or deep logic behind the Prompt, "
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"but focus on building a relationship with the user:\n"
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)
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MORE_LIKE_THIS_GENERATE_PROMPT = (
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"-----\n"
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"{original_completion}\n"
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"-----\n\n"
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"Please use the above content as a sample for generating the result, "
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"and include key information points related to the original sample in the result. "
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"Try to rephrase this information in different ways and predict according to the rules below.\n\n"
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"-----\n"
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"{prompt}\n"
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)
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SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
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"Please help me predict the three most likely questions that human would ask, "
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"and keeping each question under 20 characters.\n"
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@@ -157,10 +127,10 @@ and fill in variables, with a welcome sentence, and keep TLDR.
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```
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<< MY INTENDED AUDIENCES >>
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{audiences}
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{{audiences}}
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<< HOPING TO SOLVE >>
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{hoping_to_solve}
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{{hoping_to_solve}}
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<< OUTPUT >>
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"""
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