basic.py
"""
Serve a Workflow with AgentOS
=============================
Serve one two-step workflow as an HTTP resource. AgentOS adds discovery,
execution, streaming, persisted-run, and WebSocket routes around the workflow.
Prerequisites: OPENAI_API_KEY
Run: .venvs/demo/bin/python cookbook/05_agent_os/09_serving_workflows/basic.py
Try: Run run_over_api.py or ws_stream.py from this folder in another terminal
"""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.os import AgentOS
from agno.workflow import Step, Workflow
# ---------------------------------------------------------------------------
# Create Served Workflow
# ---------------------------------------------------------------------------
WORKFLOW_ID = "release-notes-workflow"
db = SqliteDb(
id="serving-workflows-db",
db_file="tmp/serving_workflows.db",
)
draft_agent = Agent(
id="release-notes-drafter",
name="Release Notes Drafter",
model=OpenAIResponses(id="gpt-5.5"),
instructions=(
"Turn the request into a concise release-note draft with a heading and "
"three short bullets."
),
)
editor_agent = Agent(
id="release-notes-editor",
name="Release Notes Editor",
model=OpenAIResponses(id="gpt-5.5"),
instructions=(
"Edit the preceding draft for clarity. Return only the final heading "
"and three short bullets."
),
)
release_notes_workflow = Workflow(
id=WORKFLOW_ID,
name="Release Notes Workflow",
description="Draft and edit concise release notes in two steps.",
db=db,
steps=[
Step(name="Draft Release Notes", agent=draft_agent),
Step(name="Edit Release Notes", agent=editor_agent),
],
)
agent_os = AgentOS(
id="serving-workflows-os",
description="AgentOS serving a two-step workflow.",
db=db,
workflows=[release_notes_workflow],
)
app = agent_os.get_app()
# ---------------------------------------------------------------------------
# Run Workflow Server
# ---------------------------------------------------------------------------
if __name__ == "__main__":
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
basic.py, then run:python basic.py