"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/storage/json_storage/json_storage_for_team.py` to run the team
We can start Redis locally using docker:
1. Start Redis container
docker run --name my-redis -p 6379:6379 -d redis
2. Verify container is running
docker ps
"""
from typing import List
from agno.agent import Agent
from agno.db.redis import RedisDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools
from pydantic import BaseModel
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = RedisDb(db_url="redis://localhost:6379")
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
class Article(BaseModel):
title: str
summary: str
reference_links: List[str]
hn_researcher = Agent(
name="HackerNews Researcher",
model=OpenAIChat("gpt-4o"),
role="Gets top stories from hackernews.",
tools=[HackerNewsTools()],
)
web_searcher = Agent(
name="Web Searcher",
model=OpenAIChat("gpt-4o"),
role="Searches the web for information on a topic",
tools=[WebSearchTools()],
add_datetime_to_context=True,
)
hn_team = Team(
name="HackerNews Team",
model=OpenAIChat("gpt-4o"),
members=[hn_researcher, web_searcher],
db=db,
instructions=[
"First, search hackernews for what the user is asking about.",
"Then, ask the web searcher to search for each story to get more information.",
"Finally, provide a thoughtful and engaging summary.",
],
output_schema=Article,
markdown=True,
show_members_responses=True,
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
if __name__ == "__main__":
hn_team.print_response("Write an article about the top 2 stories on hackernews")
