Async Sqlite for Team

Agno supports using Sqlite asynchronously as a storage backend for Teams, with the AsyncSqliteDb class.

Usage

You need to provide either db_url, db_file or db_engine. The following example uses db_file.

async_sqlite_for_team.py

"""
Run: `uv pip install openai newspaper4k lxml_html_clean agno sqlalchemy aiosqlite` to install the dependencies
"""
import asyncio
from typing import List

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.models.openai import OpenAIResponses
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.hackernews import HackerNewsTools
from pydantic import BaseModel

# Initialize AsyncSqliteDb with a database file
db = AsyncSqliteDb(db_file="team_storage.db")

class Article(BaseModel):
    title: str
    summary: str
    reference_links: List[str]

hn_researcher = Agent(
    name="HackerNews Researcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Gets top stories from hackernews.",
    tools=[HackerNewsTools()],
)

web_searcher = Agent(
    name="Web Searcher",
    model=OpenAIResponses(id="gpt-5.2"),
    role="Searches the web for information on a topic",
    tools=[HackerNewsTools()],
    add_datetime_to_context=True,
)

hn_team = Team(
    name="HackerNews Team",
    model=OpenAIResponses(id="gpt-5.2"),
    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,
)

asyncio.run(
    hn_team.aprint_response("Write an article about the top 2 stories on hackernews")
)

Params

Parameter	Type	Default	Description
db_engine	Optional[Engine]	-	The SQLAlchemy database engine to use.
db_url	Optional[str]	-	The database URL to connect to.
db_file	Optional[str]	-	The database file to connect to.
session_table	Optional[str]	-	Name of the table to store Agent, Team and Workflow sessions.
memory_table	Optional[str]	-	Name of the table to store user memories.
metrics_table	Optional[str]	-	Name of the table to store metrics.
eval_table	Optional[str]	-	Name of the table to store evaluation runs data.
knowledge_table	Optional[str]	-	Name of the table to store knowledge documents data.
traces_table	Optional[str]	-	Name of the table to store traces.
spans_table	Optional[str]	-	Name of the table to store spans.