config_basics.py
"""
Configure AgentOS in Python
===========================
Attach UI metadata and database-domain labels to an AgentOSConfig, then fetch
GET /config to inspect the rendered control-plane configuration.
Prerequisites: OPENAI_API_KEY is needed only for agent runs
Run: .venvs/demo/bin/python cookbook/05_agent_os/08_os_config/config_basics.py
Try: Run this file with --demo in another terminal
"""
import argparse
import os
import httpx
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.os.config import (
AgentOSConfig,
DatabaseConfig,
Manifest,
MemoryConfig,
MemoryDomainConfig,
SessionConfig,
SessionDomainConfig,
)
# ---------------------------------------------------------------------------
# Create Configured AgentOS
# ---------------------------------------------------------------------------
BASE_URL = os.getenv("AGENT_OS_BASE_URL", "http://localhost:7777")
AGENT_ID = "operations-agent"
DB_ID = "os-config-db"
db = SqliteDb(
id=DB_ID,
db_file="tmp/os_config.db",
)
operations_agent = Agent(
id=AGENT_ID,
name="Operations Agent",
model=OpenAIResponses(id="gpt-5.5"),
db=db,
instructions="Answer operations questions clearly and concisely.",
add_history_to_context=True,
num_history_runs=3,
update_memory_on_run=True,
markdown=True,
)
os_config = AgentOSConfig(
available_models=["gpt-5.5"],
manifest={
AGENT_ID: Manifest(
description="Answers operational questions and summarizes next steps.",
labels=["operations", "production"],
quick_prompts=[
"Summarize the current operational priorities.",
"Turn these notes into an action plan.",
"What should I investigate first?",
],
)
},
session=SessionConfig(
dbs=[
DatabaseConfig(
db_id=DB_ID,
domain_config=SessionDomainConfig(
display_name="Operations conversations"
),
)
]
),
memory=MemoryConfig(
dbs=[
DatabaseConfig(
db_id=DB_ID,
domain_config=MemoryDomainConfig(display_name="Operations preferences"),
)
]
),
)
agent_os = AgentOS(
id="python-config-os",
description="AgentOS configured with Python objects.",
db=db,
agents=[operations_agent],
config=os_config,
)
app = agent_os.get_app()
def show_rendered_config() -> None:
"""Fetch and verify the configuration rendered by AgentOS."""
with httpx.Client(base_url=BASE_URL, timeout=30.0) as client:
health_response = client.get("/health")
health_response.raise_for_status()
config_response = client.get("/config")
config_response.raise_for_status()
rendered = config_response.json()
manifest = rendered["manifest"][AGENT_ID]
session_domain = rendered["session"]["dbs"][0]
memory_domain = rendered["memory"]["dbs"][0]
if rendered["available_models"] != ["gpt-5.5"]:
raise RuntimeError("GET /config did not preserve available_models")
if AGENT_ID not in {agent["id"] for agent in rendered["agents"]}:
raise RuntimeError("The manifest ID does not match a registered agent")
if session_domain["db_id"] != DB_ID or memory_domain["db_id"] != DB_ID:
raise RuntimeError("A configured domain points at an unknown database")
print(f"Health: {health_response.json()['status']}")
print(f"AgentOS: {rendered['os_id']}")
print(f"Available models: {rendered['available_models']}")
print(f"Manifest labels: {manifest['labels']}")
print(f"Quick prompts: {manifest['quick_prompts']}")
print(
"Session domain: "
f"{session_domain['domain_config']['display_name']} ({session_domain['db_id']})"
)
print(
"Memory domain: "
f"{memory_domain['domain_config']['display_name']} ({memory_domain['db_id']})"
)
# ---------------------------------------------------------------------------
# Run Config Demo
# ---------------------------------------------------------------------------
if __name__ == "__main__":
parser = argparse.ArgumentParser(description=__doc__)
parser.add_argument(
"--demo",
action="store_true",
help="Fetch GET /config from a server already running on port 7777.",
)
args = parser.parse_args()
if args.demo:
show_rendered_config()
else:
agent_os.serve(app=app)
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]" openai
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
Run the example
Save the code above as
config_basics.py, then run:python config_basics.py