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AI Agents content ideator team, prompt config

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ajaysi
2024-05-20 15:07:20 +05:30
parent b431bfcbd8
commit 8f2bf02b65
10 changed files with 172 additions and 110 deletions
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101
lib/content_planning_calender/content_planning_agents_alwrity_crew.py
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@@ -8,10 +8,7 @@ from crewai_tools import FileReadTool
from ..ai_web_researcher.google_trends_researcher import do_google_trends_analysis
def setup_environment():
os.environ["OPENAI_MODEL_NAME"] = 'gpt-3.5-turbo' # Adjust based on given model
def create_agents(search_keywords):
def create_agents(search_keywords, already_written_on):
# Tools for the agents.
search_tool = SerperDevTool()
@@ -26,7 +23,7 @@ def create_agents(search_keywords):
file_read_tool = FileReadTool(file_path=os.getenv('SEARCH_SAVE_FILE'))
# The manager keeps an eye on the content already planned to give new ideas.
# TBD: Accept the user website urls and populate the file with sitemap.xml
manager_read_tool = FileReadTool(file_path="content_already_planned.txt")
manager_read_tool = FileReadTool(file_path=already_written_on)
# Load the google gemini api key
google_api_key = os.getenv("GEMINI_API_KEY")
@@ -38,9 +35,8 @@ def create_agents(search_keywords):
content_researcher = Agent(
role = 'Senior Web Research Analyst (Content Strategy): Aisha Sharma',
goal = f"""
Recommend unique blog titles for "{search_keywords}" keywords.
Provide researched titles to be used for content calender & planning.""",
goal = f"""Help Create a highly detailed 2 month-long content calender, focused around keywords: {search_keywords}.
Provide web researched titles to be used for content calender & planning to Ted XingPi""",
backstory = f"""
Your Focus: Content Opportunity Analysis & Keyword Research ({search_keywords}).
@@ -50,16 +46,13 @@ def create_agents(search_keywords):
1). Web Research & Content Gap Identification (Expert).
2). SEO Best Practices, Keyword Research & content planning expert (Advanced).
3). Analyzes search trends and competitor content.
Mission:
1). Fuel company's content strategy with data-driven insights to attract and educate online readers.
2). Identifies high-volume, low-competition keywords relevant to {search_keywords}.
4). Fuel company's content strategy with data-driven insights to attract and educate online readers.
5). Identifies high-volume, low-competition keywords relevant to {search_keywords}.
Responsibilities:
1). Recommend high-value content opportunities through in-depth web research and competitor analysis.
2). Do competitor analysis for {search_keywords} for content calender & planning.
2). Provide your research to Senior Content Strategist & planner - Ted XingPi
""",
tools = [search_tool],
@@ -75,23 +68,28 @@ def create_agents(search_keywords):
role = 'Senior Content Strategist & planner - Ted XingPi',
goal = f"""
Craft a series of content titles around {search_keywords} that can be expanded into 2 month-long series.
Do not repeat the blog titles, always consult the previously written blog titles from the file(content_already_planned.txt).
Set the """,
Do not repeat the blog titles, always consult the previously written blog titles from the file: {already_written_on}.""",
backstory = """You are Ted XingPi, with Experience of 15 years.
Your Skills:
1). Content Opportunity Analysis & Content calender planning (Expert).
2). AI Applications for Content Marketing (Highly Knowledgeable).
3). Content Strategy Development & planning.
4). Analyze keyword research for content opportunities.
3). Content Strategy Development & keyword research for content opportunities.
Your Responsibilties:
1). Identify content topics and keywords for {search_keywords}.
2). Create content calender that showcases the value proposition around {search_keywords}.
3). Collaborate with team to identify content gaps and trending topics, relevant to given keywords.
4). Develop content calender with a focus on organic marketing to attract online customers.
5). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
1). Employ a balance of head terms (broad topics) and long-tail keywords (specific phrases) for optimal reach and targeting.
2). Review & Include suggestions from Content Marketing & Google Trends Specialist - Sarah Qureshi.
3). Identify content topics and keywords for {search_keywords}.
4). Senior Web Research Analyst (Content Strategy): Aisha Sharma
5). Create content calender that showcases the value proposition around {search_keywords}.
6). New content should target unique keywords to avoid competition with existing content.
7). Focus on specific aspects within a theme to differentiate semantically similar keywords for {search_keywords}.
8). Collaborate with team to identify content gaps and trending topics, relevant to given keywords.
9). Develop content calender with a focus on organic marketing to attract online customers.
10). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
""",
memory = True, # Enable memory
verbose = True,
@@ -105,25 +103,21 @@ def create_agents(search_keywords):
google_trends_researcher = Agent(
role = 'Content Marketing & Google Trends Specialist - Sarah Qureshi.',
goal = f"""Use Google Trends to suggest AI writing keywords & titles, optimized for {search_keywords}.
All the required google trends data is present in the file({os.getenv('SEARCH_SAVE_FILE')}).""",
goal = f"""Help Create a highly detailed 2 month-long content calender, focused around keywords: {search_keywords}.
Analyse & provide Google trends data for content calender & planning to Ted XingPi""",
backstory = f"""You are Sarah Qureshi, with 10 years as a content writer and planner.
Your Skills:
1). Proven experience in using Google Trends for keyword research.
2). Strong understanding of SEO best practices.
3). Reading files and understanding long table with data.
4). Ability to communicate complex data insights in a clear and concise way.
Your Personality:
1). Enjoys breaking down complex topics into clear and concise information.
2). Strong communicator with a knack for explaining technical concepts in an engaging way.
Your responsibilties:
1). Collaborate on content strategy, provide keyword, titles recommendations and integrate them into the content calendar.
1). Collaborate on content strategy, provide keyword, titles recommendations to Ted XingPi.
2). Recommend high-volume, low-competition keywords, titles with strong user intent.
3). Recommend, Rising search queries related to {search_keywords}.
5). Recommend keywords, blog titles for preparing/planning the content calender.
4). Recommend keywords, blog titles for preparing/planning the content calender.
5). Provide your research to Senior Content Strategist & planner - Ted XingPi
""",
memory = True, # Enable memory
tools = [file_read_tool],
@@ -137,7 +131,7 @@ def create_agents(search_keywords):
content_marketing_manager = Agent(
role="Content Marketing Manager - Diksha Yuj",
goal=f"""Create highly detailed 2 month-long content calender, focused around keywords: {search_keywords}.
Important to ensure the keywords and titles are not already written on, consult the file(content_already_planned.txt).""",
Use insights and context from team members: Sarah Qureshi, Ted XingPi and Aisha Sharma""",
backstory="""
Content Marketing Manager: Diksha Yuj
Experience: Digital Marketing Veteran (15+ years)
@@ -147,10 +141,11 @@ def create_agents(search_keywords):
Responsibilities:
1). Ensures that content titles are not repeated & No keyword cannabilization.
2). Maintains and consults a file for all previous written titles.
2). Maintains and consults a file for all previous written titles({already_written_on}).
3). Develops a content calendar aligned and optimized around {search_keywords}.
4). Keenly follows & learns the research and communication of other team members.
5). The content calender should include, Head Term Keyword, Long-Tail Keyword and Blog Post Title.
6). Use insights and context from team members: Sarah Qureshi, Ted XingPi and Aisha Sharma
""",
memory=True, # Enable memory
verbose=True,
@@ -164,31 +159,28 @@ def create_agents(search_keywords):
return [content_researcher, google_trends_researcher, content_planner, content_marketing_manager]
def create_tasks(agents, search_keywords):
def create_tasks(agents, search_keywords, already_written_on):
research_task = Task(
description=f"""Conduct a analysis on the following: "{search_keywords}". Suggest blog titles for content calender.
description=f"""Conduct web analysis on "{search_keywords}",for content calender.
Set the input parameter as : search_query""",
expected_output=f"""Analyze keywords {search_keywords} to provide content ideas for content calender.""",
expected_output=f"""Provide comprehensive content calender ideas to Senior Content Strategist & planner - Ted XingPi""",
agent=agents[0] # Assign to the researcher agent
)
google_trends_task = Task(
description=f"""Conduct Google Trends analysis, on keywords: {search_keywords}, from the file({os.getenv('SEARCH_SAVE_FILE')}).
Suggest blog titles for content calender. Recommend high-volume, low-competition keywords with strong user intent.
Set the input parameter file_path to {os.getenv('SEARCH_SAVE_FILE')}""",
expected_output=f"Recommend content ideas, blog titles to be included in the content calender.",
Set the input parameter as : file_path""",
expected_output=f"Provide comprehensive content calender ideas to Senior Content Strategist & planner - Ted XingPi",
agent=agents[1] # Assign to the researcher agent
)
planner_task = Task(
description=f"""Develop a content calendar for {search_keywords} that includes evergreen, trending, and seasonal post ideas.""",
expected_output=f"""
A Highly detailed content calender that positions {search_keywords} as a must-read for industry insiders and newcomers alike.
Prioritize keywords relevant to user needs and search intent, leveraging Google Trends insights.
Employ a balance of head terms (broad topics) and long-tail keywords (specific phrases) for optimal reach and targeting.
description=f"""Develop a content calendar for {search_keywords}, based team member's.
New content should target unique keywords to avoid competition with existing content.
Focus on specific aspects within a theme to differentiate semantically similar keywords for {search_keywords}.
Use context & insights from Aisha Sharma & Sarah Qureshi.
Set the input parameter file_path to content_already_planned.txt""",
Set the input parameter file_path to {already_written_on}""",
expected_output=f"""A Highly detailed content calender that positions {search_keywords} as a must-read for industry insiders and newcomers alike. Final content calender for the next 2 months. Targeting 5 articles per week.
""",
#human_input=True,
agent=agents[2] # Assign to the outliner agent
)
@@ -196,11 +188,12 @@ def create_tasks(agents, search_keywords):
marketing_manager_task = Task(
description=f"""Make sure the content calender is optimised for keywords: '{search_keywords}'.
Make sure the titles are unique, semantically unique and mitigate keyword cannabilization.
Use context & insights from Aisha Sharma & Sarah Qureshi.
Set the input parameter file_path to content_already_planned.txt
Use context & insights from Aisha Sharma, Ted XingPi & Sarah Qureshi.
Set the input parameter file_path to {already_written_on}
""",
expected_output=f"""Final content calender for the next 2 months. Targeting 5 articles per week.
Make sure to present the content calender in tabular format. Include details of how to use the content calender.""",
Make sure to present the content calender in tabular format. Include details of how to use the content calender.
""",
agent=agents[3] # Assign to the reviewer agent
)
@@ -220,11 +213,13 @@ def execute_tasks(agents, tasks):
return result
def ai_agents_writers(search_keywords):
def ai_agents_planner(search_keywords):
already_written_on = os.path.join(os.getcwd(), "lib", "content_planning_calender", "content_already_planned.txt")
do_google_trends_analysis(search_keywords)
#setup_environment()
agents = create_agents(search_keywords)
tasks = create_tasks(agents, search_keywords)
agents = create_agents(search_keywords, already_written_on)
tasks = create_tasks(agents, search_keywords, already_written_on)
result = execute_tasks(agents, tasks)
print("########## Final Output Result ############")
print(result)

12
lib/content_planning_calender/requirements.txt
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@@ -1,12 +0,0 @@
crewai[tools]
langchain-google-genai
scikit-learn
scipy
matplotlib
pandas
plotly
lxml_html_clean
tabulate
pytrends
loguru
requests_html