Async MySQL for Agent
Store agent sessions in async MySQL while using web search and conversation history.
"""Use Async MySQL as the database for an agent.
Run `uv pip install openai duckduckgo-search sqlalchemy asyncmy agno` to install dependencies.
"""
import asyncio
import uuid
from agno.agent import Agent
from agno.db.base import SessionType
from agno.db.mysql import AsyncMySQLDb
from agno.tools.websearch import WebSearchTools
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "mysql+asyncmy://ai:ai@localhost:3306/ai"
db = AsyncMySQLDb(db_url=db_url)
# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
db=db,
tools=[WebSearchTools()],
add_history_to_context=True,
add_datetime_to_context=True,
)
# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
async def main():
"""Run the agent queries in the same event loop"""
session_id = str(uuid.uuid4())
await agent.aprint_response(
"How many people live in Canada?", session_id=session_id
)
await agent.aprint_response(
"What is their national anthem called?", session_id=session_id
)
session_data = await db.get_session(
session_id=session_id, session_type=SessionType.AGENT
)
print("\n=== SESSION DATA ===")
print(session_data.to_dict())
if __name__ == "__main__":
asyncio.run(main())Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno asyncmy ddgs openai "sqlalchemy[asyncio]"Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run MySQL
docker run -d --name mysql -e MYSQL_ROOT_PASSWORD=ai -e MYSQL_DATABASE=ai -e MYSQL_USER=ai -e MYSQL_PASSWORD=ai -p 3306:3306 mysql:8Wait for MySQL
Wait until the application user can connect to the initialized database:
docker exec mysql sh -c 'until mysql -h 127.0.0.1 -uai -pai ai -e "SELECT 1" >/dev/null 2>&1; do sleep 1; done'Run the example
Save the code above as async_mysql_for_agent.py, then run:
python async_mysql_for_agent.pyFull source: cookbook/06_storage/mysql/async_mysql/async_mysql_for_agent.py