async_sqlite_for_agent.py
Run the Example
1
Set up your virtual environment
2
Install dependencies
3
Export your OpenAI API key
4
Run the example
Save the code above as
async_sqlite_for_agent.py, then run:Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Persist agent sessions in SQLite with AsyncSqliteDb and async run methods.
"""Use SQLite as the database for an agent.
Run `uv pip install openai ddgs sqlalchemy aiosqlite` to install dependencies."""
import asyncio
from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = AsyncSqliteDb(db_file="tmp/data.db")
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
db=db,
tools=[WebSearchTools()],
add_history_to_context=True,
add_datetime_to_context=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def main():
await agent.aprint_response("How many people live in Canada?")
await agent.aprint_response("What is their national anthem called?")
if __name__ == "__main__":
asyncio.run(main())
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
uv venv --python 3.12
.venv\Scripts\activate
Install dependencies
uv pip install -U agno aiosqlite ddgs openai sqlalchemy
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
Run the example
async_sqlite_for_agent.py, then run:python async_sqlite_for_agent.py
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