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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,'
f' answer the following 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 (
"Write 4 google search queries to search online that form an"
f' objective opinion from the following: "{question}"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"
f' following 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"
f' syntax 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"
f' report on the following question or topic: "{question}".'
" The outline should provide a well-structured frameworkYou"
" 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"
f" syntax. This should include the definitionof {concept},"
" its historical background and development, its"
" applications or uses in differentfields, and notable"
f" 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]
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