test.py

import os
from crewai import Agent, Task, Crew, Process


# You can choose to use a local model through Ollama for example. See https://docs.crewai.com/how-to/LLM-Connections/ for more information.

os.environ["OPENAI_API_BASE"] = 'http://localhost:11434/v1'
os.environ["OPENAI_MODEL_NAME"] ='phi3'  # Adjust based on available model
os.environ["OPENAI_API_KEY"] ='sk-111111111111111111111111111111111111111111111111'


# Define your agents with roles and goals
researcher = Agent(
  role='Senior Research Analyst',
  goal='Uncover cutting-edge developments in AI and data science',
  backstory="""You work at a leading tech think tank.
  Your expertise lies in identifying emerging trends.
  You have a knack for dissecting complex data and presenting actionable insights.""",
  verbose=True,
  allow_delegation=False,
  tools=[]
)

# Create tasks for your agents
task1 = Task(
  description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
  Identify key trends, breakthrough technologies, and potential industry impacts.""",
  expected_output="Full analysis report in bullet points",
  agent=researcher
)

# Instantiate your crew with a sequential process
crew = Crew(
  agents=[researcher],
  tasks=[task1],
  verbose=2, # You can set it to 1 or 2 to different logging levels
)

# Get your crew to work!
result = crew.kickoff()

print("######################")
print(result)