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@sourangshupal
Created April 19, 2025 07:28
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CrewAI with OPIK & AgentOps Integration for Monitoring
# Add API KEY in .env file, get from https://app.agentops.ai/settings/projects
# AGENTOPS_API_KEY = "a606fd02-fde0-0c184dd70"
# Install pip install agentops or pip install 'crewai[agentops]'
from crewai import Agent, Crew, Task, Process
from dotenv import load_dotenv
import os
import agentops
class YourCrewName:
def agent_one(self) -> Agent:
return Agent(
role="Data Analyst",
goal="Analyze data trends in the market",
backstory="An experienced data analyst with a background in economics",
verbose=True,
)
def agent_two(self) -> Agent:
return Agent(
role="Market Researcher",
goal="Gather information on market dynamics",
backstory="A diligent researcher with a keen eye for detail",
verbose=True,
)
def task_one(self) -> Task:
return Task(
name="Collect Data Task",
description="Collect recent market data and identify trends.",
expected_output="A report summarizing key trends in the market.",
agent=self.agent_one(),
)
def task_two(self) -> Task:
return Task(
name="Market Research Task",
description="Research factors affecting market dynamics.",
expected_output="An analysis of factors influencing the market.",
agent=self.agent_two(),
)
def crew(self) -> Crew:
return Crew(
agents=[self.agent_one(), self.agent_two()],
tasks=[self.task_one(), self.task_two()],
process=Process.sequential,
verbose=True,
)
if __name__ == "__main__":
load_dotenv()
my_crew = YourCrewName().crew()
agentops.init(os.getenv("AGENTOPS_API_KEY"), instrument_llm_calls=True)
result = my_crew.kickoff()
print(result)
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