This example’s source docstring names a removed cookbook path:
cookbook/storage/postgres_storage/postgres_storage_for_team.py. Follow the generated Run step below.postgres_for_team.py
"""
1. Run: `uv pip install openai ddgs newspaper4k lxml_html_clean agno` to install the dependencies
2. Run: `python cookbook/storage/postgres_storage/postgres_storage_for_team.py` to run the team
"""
from typing import List
from agno.agent import Agent
from agno.db.postgres import PostgresDb
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_url = "postgresql+psycopg://ai:ai@localhost:5532/ai"
db = PostgresDb(db_url=db_url)
# ---------------------------------------------------------------------------
# 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")
Run the Example
1
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
2
Install dependencies
uv pip install -U agno "psycopg[binary]" ddgs openai sqlalchemy
3
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
4
Run PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql \
-v pgvolume:/var/lib/postgresql \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
docker run -d `
-e POSTGRES_DB=ai `
-e POSTGRES_USER=ai `
-e POSTGRES_PASSWORD=ai `
-e PGDATA=/var/lib/postgresql `
-v pgvolume:/var/lib/postgresql `
-p 5532:5432 `
--name pgvector `
agnohq/pgvector:18
5
Run the example
Save the code above as
postgres_for_team.py, then run:python postgres_for_team.py