media_storage_delete.py
"""
Deleting Offloaded Media
========================
Demonstrates deleting a session's stored media along with its rows. Offloaded media outlives
the session by default, because the reference in the row is the only record of which object
belongs to which session — delete the rows first and nothing can find the objects again.
Pass delete_media=True and the keys are read before the rows, then the objects are swept.
The same flag exists on Agent, Team and Workflow, sync and async.
Requirements:
- uv pip install 'agno[s3]'
- AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION
- Set MEDIA_S3_BUCKET to the destination bucket
Run: .venvs/demo/bin/python cookbook/06_storage/09_media_storage_delete.py
"""
import os
import httpx
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.media import Image
from agno.media.storage.s3 import S3MediaStorage
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
DB_FILE = "tmp/media_delete.db"
PREFIX = "agno/media_delete/"
IMAGE_URL = "https://picsum.photos/id/15/800/600.jpg"
bucket = os.getenv("MEDIA_S3_BUCKET")
if not bucket:
raise ValueError("MEDIA_S3_BUCKET must be set to the destination S3 bucket")
storage = S3MediaStorage(
bucket=bucket,
region=os.getenv("AWS_REGION"),
prefix=PREFIX,
presigned_url_expiry=3600, # 1 hour
)
agent = Agent(
model=OpenAIResponses(id="gpt-5.5"),
media_storage=storage,
db=SqliteDb(db_file=DB_FILE),
)
def stored_keys() -> list:
import boto3
client = boto3.client("s3", region_name=os.getenv("AWS_REGION"))
listing = client.list_objects_v2(Bucket=bucket, Prefix=PREFIX)
return sorted(obj["Key"] for obj in listing.get("Contents", []))
def describe(session_id: str, image_bytes: bytes) -> None:
agent.run(
"What do you see in this image?",
session_id=session_id,
images=[Image(content=image_bytes, format="jpeg", mime_type="image/jpeg")],
)
# ---------------------------------------------------------------------------
# Run the Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
image_bytes = httpx.get(IMAGE_URL, follow_redirects=True).content
describe("keeps-media", image_bytes)
describe("sweeps-media", image_bytes)
print("Stored in S3 after two sessions:", len(stored_keys()))
# Without the flag the rows go and the objects stay
agent.delete_session(session_id="keeps-media")
print("After deleting one session without the flag:", len(stored_keys()))
# With it, the keys are read off the rows first, then the objects are swept
agent.delete_session(session_id="sweeps-media", delete_media=True)
print("After deleting the other with delete_media=True:", len(stored_keys()))
print("Left behind:", stored_keys())
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[s3]" openai httpx 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
Export your AWS credentials
export AWS_ACCESS_KEY_ID="your_key_id"
export AWS_SECRET_ACCESS_KEY="your_secret"
export AWS_REGION="us-east-1"
export MEDIA_S3_BUCKET="your_bucket"
$Env:AWS_ACCESS_KEY_ID="your_key_id"
$Env:AWS_SECRET_ACCESS_KEY="your_secret"
$Env:AWS_REGION="us-east-1"
$Env:MEDIA_S3_BUCKET="your_bucket"
5
Run the example
Save the code above as
media_storage_delete.py, then run:python media_storage_delete.py