import sys
from crewai import Agent, Task
import os
from dotenv import load_dotenv
from crewai import Crew, Process
from langchain_openai import AzureChatOpenAI
load_dotenv()
default_llm = AzureChatOpenAI(
openai_api_version=os.environ.get("AZURE_OPENAI_VERSION", "2023-07-01-preview"),
azure_deployment=os.environ.get("AZURE_OPENAI_DEPLOYMENT", "gpt35"),
azure_endpoint=os.environ.get("AZURE_OPENAI_ENDPOINT", "https://<your-endpoint>.openai.azure.com/"),
api_key=os.environ.get("AZURE_OPENAI_KEY")
)
# Create a researcher agent
researcher = Agent(
role='Senior Researcher',
goal='Discover groundbreaking technologies',
verbose=True,
llm=default_llm,
backstory='A curious mind fascinated by cutting-edge innovation and the potential to change the world, you know everything about tech.'
)
# Task for the researcher
research_task = Task(
description='Identify the next big trend in AI',
expected_output='5 paragraphs on the next big AI trend',
agent=researcher # Assigning the task to the researcher
)
# Instantiate your crew
tech_crew = Crew(
agents=[researcher],
tasks=[research_task],
process=Process.sequential # Tasks will be executed one after the other
)
# Begin the task execution
tech_crew.kickoff()
