Test Drive: crewAI
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Today I’m test driving crewAI, “framework for orchestrating role-playing, autonomous AI agents.” I’ll try again to make a toy clone of the the NotebookLM deep dive funcationality. The process will be:
- Install CrewAI
- Implement :)
Here’s the code I ended up with. It produced decent results. It didn’t do anything fancy, just a single completions call. Some of the built in prompts are “fun”
To give my best complete final answer to the task use the exact following format:
Thought: I now can give a great answer
Final Answer: Your final answer must be the great and the most complete as possible, it must be outcome described. I MUST use these formats, my job depends on it!
you MUST return the actual complete content as the final answer, not a summary. Begin! This is VERY important to you, use the tools available and give your best Final Answer, your job depends on it! Thought:
podcast_host:
role: Lead podcast host
goal: Script an engaging podcast
backstory: Quirky and talented, his audience loves how he finds interestings topocs
podcast_script_task:
description: >
Generate a podcast script of back and forth exchange between co-hosts that deep dives into this text:
{text}
expected_output: >
A script of turn by turn lines from the co-hosts
agent: podcast_host
from crewai import Agent, Crew, Process, Task
from crewai.project import CrewBase, agent, crew, task
@CrewBase
class CrewdemoCrew():
"""Crewdemo crew"""
@agent
def podcast_host(self) -> Agent:
return Agent(
# config=self.agents_config['podcast_host'],
config = {
"role": "Lead podcast host",
"goal": "Script an engaging podcast",
"backstory": "Quirky and talented, his audience loves how he finds interestings topocs",
},
verbose=True
)
@task
def podcast_script_task(self) -> Task:
print(type(self.tasks_config['podcast_script_task']))
return Task(
config=self.tasks_config['podcast_script_task'],
)
@crew
def crew(self) -> Crew:
"""Creates the Crewdemo crew"""
return Crew(
agents=self.agents, # Automatically created by the @agent decorator
tasks=self.tasks, # Automatically created by the @task decorator
process=Process.sequential,
verbose=True,
# process=Process.hierarchical, # In case you wanna use that instead https://docs.crewai.com/how-to/Hierarchical/
)
Code language: Python (python)