background_poll.py
"""
Background Poll
===============
Demonstrates running a workflow in async background mode and polling run status until completion.
"""
import asyncio
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
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.utils.pprint import pprint_run_response
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
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",
],
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
research_team = Team(
name="Research Team",
members=[hackernews_agent, web_agent],
instructions="Research tech topics from Hackernews and the web",
)
# ---------------------------------------------------------------------------
# Define Steps
# ---------------------------------------------------------------------------
research_step = Step(
name="Research Step",
team=research_team,
)
content_planning_step = Step(
name="Content Planning Step",
agent=content_planner,
)
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
content_creation_workflow = Workflow(
name="Content Creation Workflow",
description="Automated content creation from blog posts to social media",
db=SqliteDb(
session_table="workflow_session",
db_file="tmp/workflow.db",
),
steps=[research_step, content_planning_step],
)
# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
async def main() -> None:
print("Starting Async Background Workflow Test")
bg_response = await content_creation_workflow.arun(
input="AI trends in 2024",
background=True,
)
print(f"Initial Response: {bg_response.status} - {bg_response.content}")
print(f"Run ID: {bg_response.run_id}")
poll_count = 0
while True:
poll_count += 1
print(f"\nPoll #{poll_count} (every 5s)")
result = content_creation_workflow.get_run(bg_response.run_id)
if result is None:
print("Workflow not found yet, still waiting...")
if poll_count > 50:
print(f"Timeout after {poll_count} attempts")
break
await asyncio.sleep(5)
continue
if result.has_completed():
break
if poll_count > 200:
print(f"Timeout after {poll_count} attempts")
break
await asyncio.sleep(5)
final_result = content_creation_workflow.get_run(bg_response.run_id)
print("\nFinal Result:")
print("=" * 50)
pprint_run_response(final_result, markdown=True)
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 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 the example
Save the code above as
background_poll.py, then run:python background_poll.py