async_mysql_for_workflow.py
"""Use Async MySQL as the database for a workflow.
Run `uv pip install openai duckduckgo-search sqlalchemy asyncmy agno` to install dependencies.
"""
import asyncio
import uuid
from typing import List
from agno.agent import Agent
from agno.db.base import SessionType
from agno.db.mysql import AsyncMySQLDb
from agno.tools.websearch import WebSearchTools
from agno.workflow.types import WorkflowExecutionInput
from agno.workflow.workflow import Workflow
from pydantic import BaseModel
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db_url = "mysql+asyncmy://ai:ai@localhost:3306/ai"
db = AsyncMySQLDb(db_url=db_url)
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
class ResearchTopic(BaseModel):
topic: str
key_points: List[str]
summary: str
# Create researcher agent
researcher = Agent(
name="Researcher",
tools=[WebSearchTools()],
instructions="Research the given topic thoroughly and provide key insights",
output_schema=ResearchTopic,
)
# Create writer agent
writer = Agent(
name="Writer",
instructions="Write a well-structured blog post based on the research provided",
)
# Define the workflow
async def blog_workflow(workflow: Workflow, execution_input: WorkflowExecutionInput):
"""
A workflow that researches a topic and writes a blog post about it.
"""
topic = execution_input.input
# Step 1: Research the topic
research_result = await researcher.arun(f"Research this topic: {topic}")
# Step 2: Write the blog post
if research_result and research_result.content:
blog_result = await writer.arun(
f"Write a blog post about {topic}. Use this research: {research_result.content.model_dump_json()}"
)
return blog_result.content
return "Failed to complete workflow"
workflow = Workflow(
name="Blog Generator",
steps=blog_workflow,
db=db,
)
# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
async def main():
"""Run the workflow with a sample topic"""
session_id = str(uuid.uuid4())
await workflow.aprint_response(
input="The future of artificial intelligence",
session_id=session_id,
markdown=True,
)
session_data = await db.get_session(
session_id=session_id, session_type=SessionType.WORKFLOW
)
print("\n=== SESSION DATA ===")
print(session_data.to_dict())
if __name__ == "__main__":
asyncio.run(main())
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 asyncmy ddgs fastapi 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 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:8
5
Run the example
Save the code above as
async_mysql_for_workflow.py, then run:python async_mysql_for_workflow.py