How to use CrewAI

##Step 1 Setup and imports
from crewai import Agent, Task, Crew
from langchain_openai import OpenAI

# Set up OpenAI API key
OPENAI_API_KEY = "INSERT YOUR OPENAI API KEY HERE"

# Initialize language model
llm = OpenAI(temperature=0.7)

##Step 2 - Create agents
# Create Travel Agent
travel_agent = Agent(
    role='Travel Agent',
    goal='Create detailed travel itineraries with specific attractions and restaurants',
    backstory="""Experienced travel agent with extensive knowledge of
      global destinations and their attractions""",
    verbose=True,
    llm=llm
)

# Create Local Expert
local_expert = Agent(
    role='Local Expert',
    goal='Provide insider knowledge with specific local recommendations',
    backstory="""Long-time resident with deep knowledge of local culture,
      cuisine, and hidden gems""",
    verbose=True,
    llm=llm
)

## Step 3 - Create tasks
# Task for creating initial itinerary
create_itinerary_task = Task(
    description="""Create a detailed 3-day itinerary for Tokyo, Japan.
    For each day, include:
    - At least 3 specific attractions with their actual names and brief descriptions
    - 2 specific restaurant recommendations with cuisine types and signature dishes
    - Estimated times for each activity and meal
    - Brief travel instructions between locations
    Start your response with 'TOKYO ITINERARY:' """,
    agent=travel_agent,
    expected_output="A detailed 3-day Tokyo travel itinerary with specific locations and times."
)

# Task for enhancing itinerary with local insights
enhance_itinerary_task = Task(
    description="""Review the Tokyo itinerary and enhance it with local insights.
    For each day:
    - Add 1-2 off-the-beaten-path attractions with specific names and why they're special
    - Suggest a local dining experience or food tour with a specific name and what makes it unique
    - Provide a tip for navigating Tokyo or experiencing Japanese culture
    Start your response with 'ENHANCED TOKYO ITINERARY:' followed by the complete, enhanced itinerary.""",
    agent=local_expert,
    expected_output="An enhanced Tokyo travel itinerary with specific local insights and experiences."
)

## Step 4 - Assemble the Crew and Execute
trip_planning_crew = Crew(
    agents=[travel_agent, local_expert],
    tasks=[create_itinerary_task, enhance_itinerary_task],
    verbose=2
)

print("\nPlanning a trip to Tokyo, Japan")

result = trip_planning_crew.kickoff()
print("\nFinal Tokyo Trip Itinerary:")
print(result)