Spaces:
Running
Running
File size: 1,568 Bytes
3670b47 945b678 5ee8a3a 5d22cf7 7582d0f 3670b47 5d83ebb 3126477 07fcd22 73b4a69 7582d0f fad01dd 48a17ba af90c08 3670b47 5dbb1f9 3670b47 5dbb1f9 e9c9203 07fcd22 38743fe d4ebe88 38743fe bb60376 d4ebe88 48a17ba af90c08 3670b47 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 |
from crewai import Agent
from langchain_openai import ChatOpenAI
from tools import scrape_tool, search_tool, today_tool
def get_researcher_agent(model, verbose):
return Agent(
role="Researcher",
goal="Research content on topic: {topic}.",
backstory="You're working on researching content on topic: {topic}. "
"Your work is the basis for the Writer to write on this topic.",
llm=ChatOpenAI(model=model),
tools = [search_tool(), scrape_tool()],
allow_delegation=False,
verbose=verbose
)
def get_author_agent(model, verbose):
return Agent(
role="Author",
goal="Write an article on topic: {topic}.",
backstory="You're working on writing an article on topic: {topic}. "
"You base your writing on the work of the Researcher, who provides content on this topic. "
"Your work is the basis for the Editor to edit the article on this topic.",
llm=ChatOpenAI(model=model, max_tokens=32768),
tools = [],
allow_delegation=False,
verbose=verbose
)
def get_editor_agent(model, verbose):
return Agent(
role="Editor",
goal="Edit an article on topic: {topic}.",
backstory="You're working on editing an article on topic: {topic}. "
"You base your editing on the work of the Author, who provides an article on this topic.",
llm=ChatOpenAI(model=model, max_tokens=32768),
tools = [],
allow_delegation=False,
verbose=verbose
) |