AI Tasking Agents

by jamied_uk 27th March 2024, 10:18

AI Tasking Agents

Code:: # # (c) J~Net 2024 # jnet.sytes.net # # python run.py # from crewai import Agent, Task, Crew import os from langchain_openai import ChatOpenAI from dotenv import load_dotenv # https://jnet.forumotion.com/t2004-ai-tasking-agents#3090 # load_dotenv() # Set OpenAI API Key os.environ["OPENAI_API_KEY"]="NA" # Initialize Crew AI llm=ChatOpenAI( model="openhermes:latest", base_url="http://localhost:11434/v1" ) # Researcher Agent researcher=Agent( role='Researcher', goal='Research new AI Insights', backstory='You are an AI research assistant', verbose=True, allow_delegation=False, local_model="openhermes:latest", # Replace with your model name if different base_url="http://localhost:11434/v1" ) # Writer Agent writer=Agent( role='Writer', goal='write compelling and engaging blog posts about AI trends', backstory='You are an AI blog post writer who specializes in writing about AI topics', verbose=True, allow_delegation=False, local_model="openhermes:latest", # Replace with your model name if different base_url="http://localhost:11434/v1" ) # Create Task 1: Investigate latest AI trends task1=Task( description="Investigate latest AI trends", agent=researcher, expected_output="placeholder" # placeholder string ) # Create Task 2: Write a blog post on latest AI trends task2=Task( description="Write a blog post on latest AI trends", agent=writer, expected_output="placeholder" # placeholder string ) # Instantiate your crew with a sequential process crew=Crew( agents=[researcher, writer], tasks=[task1, task2], verbose=2 # You can set it to 1 or 2 for different logging levels ) result=crew.kickoff() print(result)