media_storage_s3.py
"""
S3 Media Storage
================
Demonstrates S3MediaStorage, which offloads media to S3-compatible object storage and keeps
only a MediaReference in the database — never the bytes, and never a pre-signed URL, which
would expire. URL-only media is skipped unless persist_remote_urls=True.
Requirements:
- uv pip install 'agno[s3]'
- AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_REGION
- Set MEDIA_S3_BUCKET to a bucket you own
"""
import os
import httpx
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.media import Image
from agno.media.storage import S3MediaStorage
from agno.models.openai import OpenAIResponses
# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
IMAGE_URL = "https://thumbs.dreamstime.com/b/mountain-landscape-pieniny-national-park-foot-tatra-mountains-mountain-landscape-pieniny-national-park-437239881.jpg?w=768"
# A bucket you do not own makes every upload fail, and offload falls back to inline
# base64 — the run still succeeds, so the failure is easy to miss. Ask for the bucket
# up front instead.
bucket = os.getenv("MEDIA_S3_BUCKET")
if not bucket:
raise ValueError("MEDIA_S3_BUCKET must be set to an S3 bucket you own")
# ---------------------------------------------------------------------------
# Approach 1: Pre-download the media yourself and send bytes.
# URL-only media is skipped by default.
# ---------------------------------------------------------------------------
storage = S3MediaStorage(
bucket=bucket,
region=os.getenv(
"AWS_REGION"
), # unset falls back to AWS_DEFAULT_REGION or ~/.aws/config
prefix="agno/media/",
presigned_url_expiry=3600, # 1 hour
)
# ---------------------------------------------------------------------------
# Create the Agent
# ---------------------------------------------------------------------------
agent = Agent(
model=OpenAIResponses(id="gpt-5.5"),
media_storage=storage,
db=SqliteDb(db_file="tmp/data.db"),
)
# ---------------------------------------------------------------------------
# Approach 2: Use the flag persist_remote_urls=True.
# This will download every URL-only media automatically and store it in S3.
# ---------------------------------------------------------------------------
storage_with_persist = S3MediaStorage(
bucket=bucket,
region=os.getenv(
"AWS_REGION"
), # unset falls back to AWS_DEFAULT_REGION or ~/.aws/config
prefix="agno/media/",
presigned_url_expiry=3600, # 1 hour
persist_remote_urls=True,
)
agent_with_persist = Agent(
model=OpenAIResponses(id="gpt-5.5"),
media_storage=storage_with_persist,
db=SqliteDb(db_file="tmp/data.db"),
)
# ---------------------------------------------------------------------------
# Run the Agents
# ---------------------------------------------------------------------------
if __name__ == "__main__":
# Download image content first so media storage can offload it to S3.
# mime_type gives the stored object its file extension and Content-Type.
image_bytes = httpx.get(IMAGE_URL, follow_redirects=True).content
agent.print_response(
"What do you see in this image?",
images=[Image(content=image_bytes, format="jpeg", mime_type="image/jpeg")],
)
# URL-only media is NOT stored in S3 by default — it is skipped during offload.
agent.print_response(
"What do you see in this image?",
images=[Image(url=IMAGE_URL)],
)
# URL-only images are automatically downloaded and stored when persist_remote_urls=True
agent_with_persist.print_response(
"What do you see in this image?",
images=[Image(url=IMAGE_URL)],
)
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_s3.py, then run:python media_storage_s3.py