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151 lines
6.6 KiB
151 lines
6.6 KiB
def generate_agent_role_prompt(agent):
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"""Generates the agent role prompt.
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Args: agent (str): The type of the agent.
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Returns: str: The agent role prompt.
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"""
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prompts = {
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"Finance Agent": (
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"You are a seasoned finance analyst AI assistant. Your primary goal"
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" is to compose comprehensive, astute, impartial, and methodically"
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" arranged financial reports based on provided data and trends."
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),
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"Travel Agent": (
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"You are a world-travelled AI tour guide assistant. Your main"
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" purpose is to draft engaging, insightful, unbiased, and"
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" well-structured travel reports on given locations, including"
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" history, attractions, and cultural insights."
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),
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"Academic Research Agent": (
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"You are an AI academic research assistant. Your primary"
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" responsibility is to create thorough, academically rigorous,"
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" unbiased, and systematically organized reports on a given"
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" research topic, following the standards of scholarly work."
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),
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"Default Agent": (
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"You are an AI critical thinker research assistant. Your sole"
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" purpose is to write well written, critically acclaimed, objective"
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" and structured reports on given text."
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),
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}
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return prompts.get(agent, "No such agent")
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def generate_report_prompt(question, research_summary):
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"""Generates the report prompt for the given question and research summary.
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Args: question (str): The question to generate the report prompt for
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research_summary (str): The research summary to generate the report prompt for
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Returns: str: The report prompt for the given question and research summary
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"""
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return (
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f'"""{research_summary}""" Using the above information, answer the'
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f' following question or topic: "{question}" in a detailed report --'
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" The report should focus on the answer to the question, should be"
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" well structured, informative, in depth, with facts and numbers if"
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" available, a minimum of 1,200 words and with markdown syntax and apa"
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" format. Write all source urls at the end of the report in apa format"
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)
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def generate_search_queries_prompt(question):
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"""Generates the search queries prompt for the given question.
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Args: question (str): The question to generate the search queries prompt for
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Returns: str: The search queries prompt for the given question
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"""
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return (
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"Write 4 google search queries to search online that form an objective"
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f' opinion from the following: "{question}"You must respond with a list'
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' of strings in the following format: ["query 1", "query 2", "query'
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' 3", "query 4"]'
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)
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def generate_resource_report_prompt(question, research_summary):
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"""Generates the resource report prompt for the given question and research summary.
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Args:
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question (str): The question to generate the resource report prompt for.
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research_summary (str): The research summary to generate the resource report prompt for.
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Returns:
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str: The resource report prompt for the given question and research summary.
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"""
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return (
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f'"""{research_summary}""" Based on the above information, generate a'
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" bibliography recommendation report for the following question or"
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f' topic: "{question}". The report should provide a detailed analysis'
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" of each recommended resource, explaining how each source can"
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" contribute to finding answers to the research question. Focus on the"
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" relevance, reliability, and significance of each source. Ensure that"
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" the report is well-structured, informative, in-depth, and follows"
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" Markdown syntax. Include relevant facts, figures, and numbers"
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" whenever available. The report should have a minimum length of 1,200"
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" words."
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)
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def generate_outline_report_prompt(question, research_summary):
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"""Generates the outline report prompt for the given question and research summary.
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Args: question (str): The question to generate the outline report prompt for
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research_summary (str): The research summary to generate the outline report prompt for
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Returns: str: The outline report prompt for the given question and research summary
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"""
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return (
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f'"""{research_summary}""" Using the above information, generate an'
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" outline for a research report in Markdown syntax for the following"
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f' question or topic: "{question}". The outline should provide a'
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" well-structured framework for the research report, including the"
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" main sections, subsections, and key points to be covered. The"
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" research report should be detailed, informative, in-depth, and a"
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" minimum of 1,200 words. Use appropriate Markdown syntax to format"
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" the outline and ensure readability."
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)
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def generate_concepts_prompt(question, research_summary):
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"""Generates the concepts prompt for the given question.
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Args: question (str): The question to generate the concepts prompt for
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research_summary (str): The research summary to generate the concepts prompt for
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Returns: str: The concepts prompt for the given question
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"""
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return (
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f'"""{research_summary}""" Using the above information, generate a list'
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" of 5 main concepts to learn for a research report on the following"
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f' question or topic: "{question}". The outline should provide a'
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" well-structured frameworkYou must respond with a list of strings in"
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' the following format: ["concepts 1", "concepts 2", "concepts 3",'
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' "concepts 4, concepts 5"]'
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)
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def generate_lesson_prompt(concept):
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"""
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Generates the lesson prompt for the given question.
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Args:
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concept (str): The concept to generate the lesson prompt for.
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Returns:
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str: The lesson prompt for the given concept.
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"""
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prompt = (
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f"generate a comprehensive lesson about {concept} in Markdown syntax."
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f" This should include the definitionof {concept}, its historical"
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" background and development, its applications or uses in"
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f" differentfields, and notable events or facts related to {concept}."
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)
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return prompt
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def get_report_by_type(report_type):
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report_type_mapping = {
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"research_report": generate_report_prompt,
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"resource_report": generate_resource_report_prompt,
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"outline_report": generate_outline_report_prompt,
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}
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return report_type_mapping[report_type]
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