> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-service-account.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Async SQLite for Workflow

> Two-step content workflow stores its sessions in SQLite through AsyncSqliteDb.

```python async_sqlite_for_workflow.py theme={null}
"""
Run: `pip install openai ddgs sqlalchemy aiosqlite` to install dependencies
Run: `python cookbook/db/async_sqlite/async_sqlite_for_workflow.py` to run the workflow
"""

import asyncio

from agno.agent import Agent
from agno.db.sqlite import AsyncSqliteDb
from agno.models.openai import OpenAIChat
from agno.team import Team
from agno.tools.hackernews import HackerNewsTools
from agno.tools.websearch import WebSearchTools
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
db = AsyncSqliteDb(db_file="workflow_storage.db")

# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
hackernews_agent = Agent(
    name="Hackernews Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[HackerNewsTools()],
    role="Extract key insights and content from Hackernews posts",
)
web_agent = Agent(
    name="Web Agent",
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[WebSearchTools()],
    role="Search the web for the latest news and trends",
)
content_planner = Agent(
    name="Content Planner",
    model=OpenAIChat(id="gpt-4o"),
    instructions=[
        "Plan a content schedule over 4 weeks for the provided topic and research content",
        "Ensure that I have posts for 3 posts per week",
    ],
)

research_team = Team(
    name="Research Team",
    members=[hackernews_agent, web_agent],
    instructions="Research tech topics from Hackernews and the web",
)

research_step = Step(
    name="Research Step",
    team=research_team,
)
content_planning_step = Step(
    name="Content Planning Step",
    agent=content_planner,
)
content_creation_workflow = Workflow(
    name="Content Creation Workflow",
    description="Automated content creation from blog posts to social media",
    db=db,
    steps=[research_step, content_planning_step],
)

# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    asyncio.run(
        content_creation_workflow.aprint_response(
            input="AI trends in 2024",
            markdown=True,
        )
    )
```

## Run the Example

<Steps>
  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno aiosqlite ddgs fastapi openai sqlalchemy
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run the example">
    Save the code above as `async_sqlite_for_workflow.py`, then run:

    ```bash theme={null}
    python async_sqlite_for_workflow.py
    ```
  </Step>
</Steps>

Full source: [cookbook/06\_storage/sqlite/async\_sqlite/async\_sqlite\_for\_workflow.py](https://github.com/agno-agi/agno/blob/main/cookbook/06_storage/sqlite/async_sqlite/async_sqlite_for_workflow.py)