Async MongoDB for Workflow
Two-step content workflow stores its sessions in MongoDB through AsyncMongoDb.
"""
Run: `pip install openai ddgs pymongo motor` to install dependencies
Run: `python cookbook/06_storage/mongo/async_mongo/async_mongodb_for_workflow.py` to run the workflow
Run a local MongoDB server using:
```bash
docker run -d \
--name local-mongo \
-p 27017:27017 \
-e MONGO_INITDB_ROOT_USERNAME=mongoadmin \
-e MONGO_INITDB_ROOT_PASSWORD=secret \
mongo
```
or use our script:
```bash
./cookbook/scripts/run_mongodb.sh
```
"""
import asyncio
from agno.agent import Agent
from agno.db.mongo import AsyncMongoDb
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_url = "mongodb://mongoadmin:secret@localhost:27017"
db = AsyncMongoDb(db_url=db_url)
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
hackernews_agent = Agent(
name="Hackernews Agent",
model=OpenAIChat(id="gpt-5.6-luna"),
tools=[HackerNewsTools()],
role="Extract key insights and content from Hackernews posts",
)
web_agent = Agent(
name="Web Agent",
model=OpenAIChat(id="gpt-5.6-luna"),
tools=[WebSearchTools()],
role="Search the web for the latest news and trends",
)
content_planner = Agent(
name="Content Planner",
model=OpenAIChat(id="gpt-5.6-luna"),
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
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno ddgs fastapi openai pymongoExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run MongoDB
docker run -d -p 27017:27017 --name mongodb -e MONGO_INITDB_ROOT_USERNAME=mongoadmin -e MONGO_INITDB_ROOT_PASSWORD=secret mongo:latestRun the example
Save the code above as async_mongodb_for_workflow.py, then run:
python async_mongodb_for_workflow.pyFull source: cookbook/06_storage/mongo/async_mongo/async_mongodb_for_workflow.py