Cancel a background AgentOS run
Start a long non-streaming background run, cancel it through the nested run route, and poll the database-backed run until its status becomes CANCELLED.
"""
Cancel a background AgentOS run
===============================
Start a long non-streaming background run, cancel it through the nested run
route, and poll the database-backed run until its status becomes CANCELLED.
Prerequisites: OPENAI_API_KEY
Run: .venvs/demo/bin/python cookbook/05_agent_os/04_run_lifecycle/cancel_run.py
Try: Run this file with --demo in another terminal
"""
import argparse
import asyncio
import time
from typing import Any
import httpx
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
# ---------------------------------------------------------------------------
# Create Cancellable AgentOS
# ---------------------------------------------------------------------------
BASE_URL = "http://localhost:7777"
AGENT_ID = "cancellable-agent"
SESSION_ID = "cancel-run-session"
TERMINAL_STATUSES = {"CANCELLED", "COMPLETED", "ERROR"}
db = SqliteDb(
id="cancel-run-db",
db_file="tmp/agent_os_cancel_run.db",
)
cancellable_agent = Agent(
id=AGENT_ID,
name="Cancellable Agent",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
instructions="Follow the requested outline carefully and write every requested section.",
)
agent_os = AgentOS(
id="cancel-run-os",
agents=[cancellable_agent],
)
app = agent_os.get_app()
async def poll_run(
client: httpx.AsyncClient,
run_id: str,
session_id: str,
timeout_seconds: float = 120.0,
) -> dict[str, Any]:
"""Poll one nested run route until it reaches a terminal status."""
deadline = time.monotonic() + timeout_seconds
last_status: str | None = None
while time.monotonic() < deadline:
response = await client.get(
f"/agents/{AGENT_ID}/runs/{run_id}",
params={"session_id": session_id},
)
response.raise_for_status()
run = response.json()
if run["status"] != last_status:
print(f"Polled status: {run['status']}")
last_status = run["status"]
if run["status"] in TERMINAL_STATUSES:
return run
await asyncio.sleep(0.25)
raise TimeoutError(f"Run {run_id} did not stop within {timeout_seconds} seconds")
async def run_demo() -> None:
"""Start, cancel, and poll a database-backed run."""
async with httpx.AsyncClient(base_url=BASE_URL, timeout=120.0) as client:
response = await client.post(
f"/agents/{AGENT_ID}/runs",
data={
"message": (
"Write a detailed five-section field guide to reliable agent systems. "
"Use one substantial paragraph per section and stay under 500 words."
),
"background": "true",
"stream": "false",
"session_id": SESSION_ID,
},
)
if response.status_code != 202:
raise RuntimeError(
f"Expected HTTP 202 for a background run, got {response.status_code}: {response.text}"
)
accepted = response.json()
if accepted["status"] != "PENDING":
raise RuntimeError(
f"Expected initial PENDING status, got {accepted['status']}"
)
run_id = accepted["run_id"]
session_id = accepted["session_id"]
print(f"Accepted: HTTP {response.status_code}, status=PENDING")
print(f"Run ID: {run_id}")
print(f"Session ID: {session_id}")
cancel_response = await client.post(
f"/agents/{AGENT_ID}/runs/{run_id}/cancel",
params={"session_id": session_id},
)
cancel_response.raise_for_status()
print(f"Cancellation accepted: HTTP {cancel_response.status_code}")
cancelled = await poll_run(client, run_id, session_id)
if cancelled["status"] != "CANCELLED":
raise RuntimeError(f"Expected CANCELLED, got {cancelled['status']}")
print("Final status: CANCELLED")
# ---------------------------------------------------------------------------
# Run Cancellation Demo
# ---------------------------------------------------------------------------
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--demo",
action="store_true",
help="Call an AgentOS server already running at http://localhost:7777.",
)
args = parser.parse_args()
if args.demo:
asyncio.run(run_demo())
else:
agent_os.serve(app=app)Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U "agno[os]" openaiExport your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"Run the example
Save the code above as cancel_run.py, then run:
python cancel_run.pyRun the client in a second terminal
Keep the server running. Open another terminal in the same directory, activate the same environment, and repeat any environment-variable overrides used above:
source .venv/bin/activate
python cancel_run.py --demoRun one standalone example on port 7777 at a time.
Full source: cookbook/05_agent_os/04_run_lifecycle/cancel_run.py