CrewAI vs LangChain

from crewai import Agent, Task, Crew

# Create specialized agents
researcher = Agent(
  role='Research Analyst',
  goal='Find the latest trends in AI',
  backstory='You are an expert researcher with years of experience'
)

writer = Agent(
  role='Content Writer',
  goal='Write engaging articles about AI trends',
  backstory='You are a skilled writer who creates compelling content'
)

# Create tasks
research_task = Task(
  description='Research the latest AI trends for 2024',
  agent=researcher
)

write_task = Task(
  description='Write a blog post about the research findings',
  agent=writer
)

# Create and run the crew
crew = Crew(agents=[researcher, writer], tasks=[research_task, write_task])
result = crew.kickoff()

from langchain_openai import ChatOpenAI
from langchain_core.prompts import ChatPromptTemplate

llm = ChatOpenAI(model="gpt-4o")

prompt = ChatPromptTemplate.from_messages([
    ("system", "You are a helpful assistant."),
    ("user", "{input}"),
])

chain = prompt | llm
response = chain.invoke({"input": "Hello!"})
print(response.content)