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You will often want to run code before your AgentOS app starts or before it shuts down.
This can be done by providing a custom lifespan function via the lifespan parameter.
This is how a lifespan function looks like:
@asynccontextmanager
async def lifespan(app):
# This will run before your app starts
log_info("Starting My FastAPI App")
yield
# This will run before your app shuts down
log_info("Stopping My FastAPI App")
FastAPI Lifespan
The custom lifespan function you provide will be used as the lifespan context manager for the FastAPI app used by your AgentOS. Remember to decorate it with @asynccontextmanager as shown in the examples.
If you are using a custom FastAPI app, you don’t need to worry about overwriting its lifespan.
The lifespan you provide will wrap the existing lifespan of the app, letting you combine all.
Common Use Cases
Lifespan control is useful to handle typical startup and shutdown tasks, such as:
- Resource Initialization: databases, third party services, caches… or anything else needed by your app.
- Cleanup: Close connections, store data or release resources before shut down.
- Health Checks: Verify dependencies are available before serving requests
- Background Tasks: Start/stop background processes
Example
Code
from contextlib import asynccontextmanager
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.anthropic import Claude
from agno.os import AgentOS
from agno.utils.log import log_info
# Setup the database
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
# Setup basic agents, teams and workflows
agno_support_agent = Agent(
id="example-agent",
name="Example Agent",
model=Claude(id="claude-sonnet-4-0"),
db=db,
markdown=True,
)
@asynccontextmanager
async def lifespan(app):
log_info("Starting My FastAPI App")
yield
log_info("Stopping My FastAPI App")
agent_os = AgentOS(
description="Example app with custom lifespan",
agents=[agno_support_agent],
lifespan=lifespan,
)
app = agent_os.get_app()
if __name__ == "__main__":
"""Run your AgentOS.
You can see test your AgentOS at:
http://localhost:7777/docs
"""
agent_os.serve(app="custom_lifespan:app")
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Set Environment Variables
export ANTHROPIC_API_KEY=your_anthropic_api_key
Install dependencies
uv pip install -U agno anthropic "fastapi[standard]" uvicorn sqlalchemy
Setup PostgreSQL Database
# Using Docker
docker run -d \
--name agno-postgres \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-p 5532:5432 \
pgvector/pgvector:pg17
Run Example with Python
fastapi run custom_lifespan.py