custom_fastapi_app.py
"""
Example AgentOS app with a custom FastAPI app with basic routes.
You can also run this using the FastAPI cli (uv pip install fastapi["standard"]):
```
fastapi run custom_fastapi_app.py
```
"""
from agno.agent import Agent
from agno.db.postgres import PostgresDb
from agno.models.anthropic import Claude
from agno.os import AgentOS
from agno.tools.websearch import WebSearchTools
from fastapi import FastAPI
# ---------------------------------------------------------------------------
# Create Example
# ---------------------------------------------------------------------------
# Setup the database
db = PostgresDb(db_url="postgresql+psycopg://ai:ai@localhost:5532/ai")
web_research_agent = Agent(
id="web-research-agent",
name="Web Research Agent",
model=Claude(id="claude-sonnet-4-5"),
db=db,
tools=[WebSearchTools()],
add_history_to_context=True,
num_history_runs=3,
add_datetime_to_context=True,
markdown=True,
)
# Custom FastAPI app
app: FastAPI = FastAPI(
title="Custom FastAPI App",
version="1.0.0",
)
# Add your own routes
@app.get("/customers")
async def get_customers():
return [
{
"id": 1,
"name": "John Doe",
"email": "john.doe@example.com",
},
{
"id": 2,
"name": "Jane Doe",
"email": "jane.doe@example.com",
},
]
# Setup our AgentOS app by passing your FastAPI app in the app_config parameter
agent_os = AgentOS(
description="Example app with custom routers",
agents=[web_research_agent],
base_app=app,
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
"""Run your AgentOS.
With this setup:
- API docs: http://localhost:7777/docs
"""
agent_os.serve(app="custom_fastapi_app:app", reload=True)
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[os]" anthropic ddgs psycopg-binary
3
Export your Anthropic API key
export ANTHROPIC_API_KEY="your_anthropic_api_key_here"
$Env:ANTHROPIC_API_KEY="your_anthropic_api_key_here"
4
Run PgVector
docker run -d \
-e POSTGRES_DB=ai \
-e POSTGRES_USER=ai \
-e POSTGRES_PASSWORD=ai \
-e PGDATA=/var/lib/postgresql \
-v pgvolume:/var/lib/postgresql \
-p 5532:5432 \
--name pgvector \
agnohq/pgvector:18
5
Run the example
Save the code above as
custom_fastapi_app.py, then run:python custom_fastapi_app.py