Cancel Run
Demonstrates cancelling an in-flight team run from a separate thread.
"""
Cancel Run
=============================
Demonstrates cancelling an in-flight team run from a separate thread.
"""
import threading
import time
from agno.agent import Agent
from agno.models.openai import OpenAIResponses
from agno.run.agent import RunEvent
from agno.run.base import RunStatus
from agno.run.team import TeamRunEvent
from agno.team import Team
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
def long_running_task(team: Team, run_id_container: dict) -> None:
"""Run a long team task that can be cancelled."""
try:
final_response = None
content_pieces = []
for chunk in team.run(
"Write a very long story about a dragon who learns to code. "
"Make it at least 2000 words with detailed descriptions and dialogue. "
"Take your time and be very thorough.",
stream=True,
):
if "run_id" not in run_id_container and chunk.run_id:
print(f"Team run started: {chunk.run_id}")
run_id_container["run_id"] = chunk.run_id
if chunk.event in [TeamRunEvent.run_content, RunEvent.run_content]:
if chunk.content:
print(chunk.content, end="", flush=True)
content_pieces.append(chunk.content)
elif chunk.event == RunEvent.run_cancelled:
print(f"\nMember run was cancelled: {chunk.run_id}")
run_id_container["result"] = {
"status": "cancelled",
"run_id": chunk.run_id,
"cancelled": True,
"content": "".join(content_pieces)[:200] + "..."
if content_pieces
else "No content before cancellation",
}
return
elif chunk.event == TeamRunEvent.run_cancelled:
print(f"\nTeam run was cancelled: {chunk.run_id}")
run_id_container["result"] = {
"status": "cancelled",
"run_id": chunk.run_id,
"cancelled": True,
"content": "".join(content_pieces)[:200] + "..."
if content_pieces
else "No content before cancellation",
}
return
elif hasattr(chunk, "status") and chunk.status == RunStatus.completed:
final_response = chunk
if final_response:
run_id_container["result"] = {
"status": final_response.status.value
if final_response.status
else "completed",
"run_id": final_response.run_id,
"cancelled": final_response.status == RunStatus.cancelled,
"content": ("".join(content_pieces)[:200] + "...")
if content_pieces
else "No content",
}
else:
run_id_container["result"] = {
"status": "unknown",
"run_id": run_id_container.get("run_id"),
"cancelled": False,
"content": ("".join(content_pieces)[:200] + "...")
if content_pieces
else "No content",
}
except Exception as e:
print(f"\nException in run: {str(e)}")
run_id_container["result"] = {
"status": "error",
"error": str(e),
"run_id": run_id_container.get("run_id"),
"cancelled": True,
"content": "Error occurred",
}
def cancel_after_delay(
team: Team, run_id_container: dict, delay_seconds: int = 3
) -> None:
"""Cancel the team run after a specified delay."""
print(f"Will cancel team run in {delay_seconds} seconds...")
time.sleep(delay_seconds)
run_id = run_id_container.get("run_id")
if run_id:
print(f"Cancelling team run: {run_id}")
success = team.cancel_run(run_id)
if success:
print(f"Team run {run_id} marked for cancellation")
else:
print(
f"Failed to cancel team run {run_id} (may not exist or already completed)"
)
else:
print("No run_id found to cancel")
# ---------------------------------------------------------------------------
# Create Members
# ---------------------------------------------------------------------------
storyteller_agent = Agent(
name="StorytellerAgent",
model=OpenAIResponses(id="gpt-5-mini"),
description="An agent that writes creative stories",
)
editor_agent = Agent(
name="EditorAgent",
model=OpenAIResponses(id="gpt-5-mini"),
description="An agent that reviews and improves stories",
)
# ---------------------------------------------------------------------------
# Create Team
# ---------------------------------------------------------------------------
team = Team(
name="Storytelling Team",
members=[storyteller_agent, editor_agent],
model=OpenAIResponses(id="gpt-5-mini"),
description="A team that collaborates to write detailed stories",
)
# ---------------------------------------------------------------------------
# Run Team
# ---------------------------------------------------------------------------
def main() -> None:
print("Starting team run cancellation example...")
print("=" * 50)
run_id_container = {}
team_thread = threading.Thread(
target=lambda: long_running_task(team, run_id_container), name="TeamRunThread"
)
cancel_thread = threading.Thread(
target=cancel_after_delay,
args=(team, run_id_container, 8),
name="CancelThread",
)
print("Starting team run thread...")
team_thread.start()
print("Starting cancellation thread...")
cancel_thread.start()
print("Waiting for threads to complete...")
team_thread.join()
cancel_thread.join()
print("\n" + "=" * 50)
print("RESULTS:")
print("=" * 50)
result = run_id_container.get("result")
if result:
print(f"Status: {result['status']}")
print(f"Run ID: {result['run_id']}")
print(f"Was Cancelled: {result['cancelled']}")
if result.get("error"):
print(f"Error: {result['error']}")
else:
print(f"Content Preview: {result['content']}")
if result["cancelled"]:
print("\nSUCCESS: Team run was successfully cancelled!")
else:
print("\nWARNING: Team run completed before cancellation")
else:
print("No result obtained - check if cancellation happened during streaming")
print("\nTeam cancellation example completed!")
if __name__ == "__main__":
main()Capture the team ID and terminal result
The source example can capture a member's ID from a content event, and its exception handler reports errors as successful cancellation. Replace long_running_task with the following implementation. Lifecycle events identify the parent team, and yield_run_output=True provides the final team output after completion or cancellation. Exhaust the stream so member events do not end observation early.
from agno.run.team import TeamRunOutput
def long_running_task(team: Team, run_id_container: dict) -> None:
try:
final_response = None
error = None
for chunk in team.run(
"Write a very long story about a dragon who learns to code.",
stream=True,
stream_events=True,
yield_run_output=True,
):
if isinstance(chunk, TeamRunOutput):
final_response = chunk
elif chunk.event == TeamRunEvent.run_started:
run_id_container.setdefault("run_id", chunk.run_id)
elif chunk.event == TeamRunEvent.run_content and chunk.content:
print(chunk.content, end="", flush=True)
elif chunk.event == TeamRunEvent.run_error:
error = str(chunk.content)
run_id_container["result"] = {
"run_id": run_id_container.get("run_id"),
"status": final_response.status.value if final_response else "error",
"cancelled": bool(final_response and final_response.status == RunStatus.cancelled),
"content": str(final_response.content or "")[:200] if final_response else "",
"error": error if final_response else (error or "No terminal output received"),
}
except Exception as exc:
run_id_container["result"] = {
"run_id": run_id_container.get("run_id"),
"status": "error",
"cancelled": False,
"content": "",
"error": str(exc),
}In main(), replace the final success/warning branch with print(f"Final status: {result['status']}"). An error is neither successful cancellation nor completion. The cancellation thread makes one attempt after eight seconds; a run that has already finished can correctly report completed.
Run the Example
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activateInstall dependencies
uv pip install -U agno 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.pyFull source: cookbook/03_teams/14_run_control/cancel_run.py