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