from crewai_tools import DirectoryReadTool, \
FileReadTool, \
SerperDevTool
directory_read_tool = DirectoryReadTool(directory='./instructions')
file_read_tool = FileReadTool()
search_tool = SerperDevTool()
from crewai_tools import BaseTool
class SentimentAnalysisTool(BaseTool):
name: str ="Sentiment Analysis Tool"
description: str = ("Analyzes the sentiment of text "
"to ensure positive and engaging communication.")
def _run(self, text: str) -> str:
# Your custom code tool goes here
return "positive"
sales_rep_agent = Agent(
role="Sales Representative",
goal="Identify high-value leads that match "
"our ideal customer profile",
backstory=(
"As a part of the dynamic sales team at CrewAI, "
"your mission is to scour "
"the digital landscape for potential leads. "
"Armed with cutting-edge tools "
"and a strategic mindset, you analyze data, "
"trends, and interactions to "
"unearth opportunities that others might overlook. "
"Your work is crucial in paving the way "
"for meaningful engagements and driving the company's growth."
),
allow_delegation=False,
verbose=True,
tools=[directory_read_tool, file_read_tool, search_tool],
)
sentiment_analysis_tool = SentimentAnalysisTool()
lead_sales_rep_agent = Agent(
role="Lead Sales Representative",
goal="Nurture leads with personalized, compelling communications",
backstory=(
"Within the vibrant ecosystem of CrewAI's sales department, "
"you stand out as the bridge between potential clients "
"and the solutions they need."
"By creating engaging, personalized messages, "
"you not only inform leads about our offerings "
"but also make them feel seen and heard."
"Your role is pivotal in converting interest "
"into action, guiding leads through the journey "
"from curiosity to commitment."
),
allow_delegation=False,
tools=[sentiment_analysis_tool, search_tool],
verbose=True
)
lead_profiling_task = Task(
description=(
"Conduct an in-depth analysis of {lead_name}, "
"a company in the {industry} sector "
"that recently showed interest in our solutions. "
"Utilize all available data sources "
"to compile a detailed profile, "
"focusing on key decision-makers, recent business "
"developments, and potential needs "
"that align with our offerings. "
"This task is crucial for tailoring "
"our engagement strategy effectively.\n"
"Don't make assumptions and "
"only use information you absolutely sure about."
),
expected_output=(
"A comprehensive report on {lead_name}, "
"including company background, "
"key personnel, recent milestones, and identified needs. "
"Highlight potential areas where "
"our solutions can provide value, "
"and suggest personalized engagement strategies."
),
agent=sales_rep_agent,
)
personalized_outreach_task = Task(
description=(
"Using the insights gathered from "
"the lead profiling report on {lead_name}, "
"craft a personalized outreach campaign "
"aimed at {key_decision_maker}, "
"the {position} of {lead_name}. "
"The campaign should address their recent {milestone} "
"and how our solutions can support their goals. "
"Your communication must resonate "
"with {lead_name}'s company culture and values, "
"demonstrating a deep understanding of "
"their business and needs.\n"
"Don't make assumptions and only "
"use information you absolutely sure about."
),
expected_output=(
"A series of personalized email drafts "
"tailored to {lead_name}, "
"specifically targeting {key_decision_maker}."
"Each draft should include "
"a compelling narrative that connects our solutions "
"with their recent achievements and future goals. "
"Ensure the tone is engaging, professional, "
"and aligned with {lead_name}'s corporate identity."
),
agent=lead_sales_rep_agent,
)
crew = Crew(
agents=[sales_rep_agent,
lead_sales_rep_agent],
tasks=[lead_profiling_task,
personalized_outreach_task],
verbose=True,
#memory=True
)
inputs = {
"lead_name": "DeepLearningAI",
"industry": "Online Learning Platform",
"key_decision_maker": "Andrew Ng",
"position": "CEO",
"milestone": "product launch"
}
result = crew.kickoff(inputs=inputs)
This is the code that I am trying. Experimenting with custom tool.
