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# Written by YORKI MINAKO🤡, Edited by Xiaoyi
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CONVERSATION_TITLE_PROMPT = """ You need to decompose the user ' s input into " subject " and " intention " in order to accurately figure out what the user ' s input language actually is.
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Notice : the language type user use could be diverse , which can be English , Chinese , Español , Arabic , Japanese , French , and etc .
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MAKE SURE your output is the SAME language as the user ' s input!
Your output is restricted only to : ( Input language ) Intention + Subject ( short as possible )
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Your output MUST be a valid JSON .
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Tip : When the user ' s question is directed at you (the language model), you can add an emoji to make it more fun.
example 1 :
User Input : hi , yesterday i had some burgers .
{
" Language Type " : " The user ' s input is pure English " ,
" Your Reasoning " : " The language of my output must be pure English. " ,
" Your Output " : " sharing yesterday ' s food "
}
example 2 :
User Input : hello
{
" Language Type " : " The user ' s input is written in pure English " ,
" Your Reasoning " : " The language of my output must be pure English. " ,
" Your Output " : " Greeting myself☺️ "
}
example 3 :
User Input : why mmap file : oom
{
" Language Type " : " The user ' s input is written in pure English " ,
" Your Reasoning " : " The language of my output must be pure English. " ,
" Your Output " : " Asking about the reason for mmap file: oom "
}
example 4 :
User Input : www . convinceme . yesterday - you - ate - seafood . tv讲了什么 ?
{
" Language Type " : " The user ' s input English-Chinese mixed " ,
" Your Reasoning " : " The English-part is an URL, the main intention is still written in Chinese, so the language of my output must be using Chinese. " ,
" Your Output " : " 询问网站www.convinceme.yesterday-you-ate-seafood.tv "
}
example 5 :
User Input : why小红的年龄is老than小明 ?
{
" Language Type " : " The user ' s input is English-Chinese mixed " ,
" Your Reasoning " : " The English parts are subjective particles, the main intention is written in Chinese, besides, Chinese occupies a greater \" actual meaning \" than English, so the language of my output must be using Chinese. " ,
" Your Output " : " 询问小红和小明的年龄 "
}
example 6 :
User Input : yo , 你今天咋样 ?
{
" Language Type " : " The user ' s input is English-Chinese mixed " ,
" Your Reasoning " : " The English-part is a subjective particle, the main intention is written in Chinese, so the language of my output must be using Chinese. " ,
" Your Output " : " 查询今日我的状态☺️ "
}
User Input :
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""" # noqa: E501
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PYTHON_CODE_GENERATOR_PROMPT_TEMPLATE = (
" You are an expert programmer. Generate code based on the following instructions: \n \n "
" Instructions: {{ INSTRUCTION}} \n \n "
" Write the code in {{ CODE_LANGUAGE}}. \n \n "
" Please ensure that you meet the following requirements: \n "
" 1. Define a function named ' main ' . \n "
" 2. The ' main ' function must return a dictionary (dict). \n "
" 3. You may modify the arguments of the ' main ' function, but include appropriate type hints. \n "
" 4. The returned dictionary should contain at least one key-value pair. \n \n "
" 5. You may ONLY use the following libraries in your code: \n "
" - json \n "
" - datetime \n "
" - math \n "
" - random \n "
" - re \n "
" - string \n "
" - sys \n "
" - time \n "
" - traceback \n "
" - uuid \n "
" - os \n "
" - base64 \n "
" - hashlib \n "
" - hmac \n "
" - binascii \n "
" - collections \n "
" - functools \n "
" - operator \n "
" - itertools \n \n "
" Example: \n "
" def main(arg1: str, arg2: int) -> dict: \n "
" return { \n "
' " result " : arg1 * arg2, \n '
" } \n \n "
" IMPORTANT: \n "
" - Provide ONLY the code without any additional explanations, comments, or markdown formatting. \n "
" - DO NOT use markdown code blocks (``` or ``` python). Return the raw code directly. \n "
" - The code should start immediately after this instruction, without any preceding newlines or spaces. \n "
" - The code should be complete, functional, and follow best practices for {{ CODE_LANGUAGE}}. \n \n "
" - Always use the format return { ' result ' : ...} for the output. \n \n "
" Generated Code: \n "
)
JAVASCRIPT_CODE_GENERATOR_PROMPT_TEMPLATE = (
" You are an expert programmer. Generate code based on the following instructions: \n \n "
" Instructions: {{ INSTRUCTION}} \n \n "
" Write the code in {{ CODE_LANGUAGE}}. \n \n "
" Please ensure that you meet the following requirements: \n "
" 1. Define a function named ' main ' . \n "
" 2. The ' main ' function must return an object. \n "
" 3. You may modify the arguments of the ' main ' function, but include appropriate JSDoc annotations. \n "
" 4. The returned object should contain at least one key-value pair. \n \n "
" 5. The returned object should always be in the format: { result: ...} \n \n "
" Example: \n "
" function main(arg1, arg2) { \n "
" return { \n "
" result: arg1 * arg2 \n "
" }; \n "
" } \n \n "
" IMPORTANT: \n "
" - Provide ONLY the code without any additional explanations, comments, or markdown formatting. \n "
" - DO NOT use markdown code blocks (``` or ``` javascript). Return the raw code directly. \n "
" - The code should start immediately after this instruction, without any preceding newlines or spaces. \n "
" - The code should be complete, functional, and follow best practices for {{ CODE_LANGUAGE}}. \n \n "
" Generated Code: \n "
)
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SUGGESTED_QUESTIONS_AFTER_ANSWER_INSTRUCTION_PROMPT = (
" Please help me predict the three most likely questions that human would ask, "
" and keeping each question under 20 characters. \n "
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" MAKE SURE your output is the SAME language as the Assistant ' s latest response "
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" The output must be an array in JSON format following the specified schema: \n "
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' [ " question1 " , " question2 " , " question3 " ] \n '
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)
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GENERATOR_QA_PROMPT = (
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" <Task> The user will send a long text. Generate a Question and Answer pairs only using the knowledge "
" in the long text. Please think step by step. "
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" Step 1: Understand and summarize the main content of this text. \n "
" Step 2: What key information or concepts are mentioned in this text? \n "
" Step 3: Decompose or combine multiple pieces of information and concepts. \n "
" Step 4: Generate questions and answers based on these key information and concepts. \n "
" <Constraints> The questions should be clear and detailed, and the answers should be detailed and complete. "
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" You must answer in {language} , in a style that is clear and detailed in {language} . "
" No language other than {language} should be used. \n "
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" <Format> Use the following format: Q1: \n A1: \n Q2: \n A2:... \n "
" <QA Pairs> "
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)
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WORKFLOW_RULE_CONFIG_PROMPT_GENERATE_TEMPLATE = """
Here is a task description for which I would like you to create a high - quality prompt template for :
< task_description >
{ { TASK_DESCRIPTION } }
< / task_description >
Based on task description , please create a well - structured prompt template that another AI could use to consistently complete the task . The prompt template should include :
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- Do not include < input > or < output > section and variables in the prompt , assume user will add them at their own will .
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- Clear instructions for the AI that will be using this prompt , demarcated with < instructions > tags . The instructions should provide step - by - step directions on how to complete the task using the input variables . Also Specifies in the instructions that the output should not contain any xml tag .
- Relevant examples if needed to clarify the task further , demarcated with < example > tags . Do not include variables in the prompt . Give three pairs of input and output examples .
- Include other relevant sections demarcated with appropriate XML tags like < examples > , < instructions > .
- Use the same language as task description .
- Output in ` ` ` xml ` ` ` and start with < instruction >
Please generate the full prompt template with at least 300 words and output only the prompt template .
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""" # noqa: E501
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RULE_CONFIG_PROMPT_GENERATE_TEMPLATE = """
Here is a task description for which I would like you to create a high - quality prompt template for :
< task_description >
{ { TASK_DESCRIPTION } }
< / task_description >
Based on task description , please create a well - structured prompt template that another AI could use to consistently complete the task . The prompt template should include :
- Descriptive variable names surrounded by { { } } ( two curly brackets ) to indicate where the actual values will be substituted in . Choose variable names that clearly indicate the type of value expected . Variable names have to be composed of number , english alphabets and underline and nothing else .
- Clear instructions for the AI that will be using this prompt , demarcated with < instructions > tags . The instructions should provide step - by - step directions on how to complete the task using the input variables . Also Specifies in the instructions that the output should not contain any xml tag .
- Relevant examples if needed to clarify the task further , demarcated with < example > tags . Do not use curly brackets any other than in < instruction > section .
- Any other relevant sections demarcated with appropriate XML tags like < input > , < output > , etc .
- Use the same language as task description .
- Output in ` ` ` xml ` ` ` and start with < instruction >
Please generate the full prompt template and output only the prompt template .
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""" # noqa: E501
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RULE_CONFIG_PARAMETER_GENERATE_TEMPLATE = """
I need to extract the following information from the input text . The < information to be extracted > tag specifies the ' type ' , ' description ' and ' required ' of the information to be extracted .
< information to be extracted >
variables name bounded two double curly brackets . Variable name has to be composed of number , english alphabets and underline and nothing else .
< / information to be extracted >
Step 1 : Carefully read the input and understand the structure of the expected output .
Step 2 : Extract relevant parameters from the provided text based on the name and description of object .
Step 3 : Structure the extracted parameters to JSON object as specified in < structure > .
Step 4 : Ensure that the list of variable_names is properly formatted and valid . The output should not contain any XML tags . Output an empty list if there is no valid variable name in input text .
### Structure
Here is the structure of the expected output , I should always follow the output structure .
[ " variable_name_1 " , " variable_name_2 " ]
### Input Text
Inside < text > < / text > XML tags , there is a text that I should extract parameters and convert to a JSON object .
< text >
{ { INPUT_TEXT } }
< / text >
### Answer
I should always output a valid list . Output nothing other than the list of variable_name . Output an empty list if there is no variable name in input text .
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""" # noqa: E501
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RULE_CONFIG_STATEMENT_GENERATE_TEMPLATE = """
< instruction >
Step 1 : Identify the purpose of the chatbot from the variable { { TASK_DESCRIPTION } } and infer chatbot ' s tone (e.g., friendly, professional, etc.) to add personality traits.
Step 2 : Create a coherent and engaging opening statement .
Step 3 : Ensure the output is welcoming and clearly explains what the chatbot is designed to do . Do not include any XML tags in the output .
Please use the same language as the user ' s input language. If user uses chinese then generate opening statement in chinese, if user uses english then generate opening statement in english.
Example Input :
Provide customer support for an e - commerce website
Example Output :
Welcome ! I ' m here to assist you with any questions or issues you might have with your shopping experience. Whether you ' re looking for product information , need help with your order , or have any other inquiries , feel free to ask . I ' m friendly, helpful, and ready to support you in any way I can.
< Task >
Here is the task description : { { INPUT_TEXT } }
You just need to generate the output
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""" # noqa: E501