workflow_serialization.py
"""
Workflow Serialization
======================
Demonstrates `to_dict()`, `save()`, and `load()` for workflow persistence.
"""
import json
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.workflow import Workflow
from agno.workflow.step import Step
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
research_agent = Agent(
name="Research Agent",
model=OpenAIResponses(id="gpt-5.2"),
instructions="Research the topic and gather key findings.",
)
writer_agent = Agent(
name="Writer Agent",
model=OpenAIResponses(id="gpt-5.2"),
instructions="Turn research notes into a concise summary.",
)
# ---------------------------------------------------------------------------
# Define Steps
# ---------------------------------------------------------------------------
research_step = Step(name="Research", agent=research_agent)
write_step = Step(name="Write", agent=writer_agent)
# ---------------------------------------------------------------------------
# Create Workflow
# ---------------------------------------------------------------------------
workflow_db = SqliteDb(
db_file="tmp/workflow_serialization.db", session_table="workflow_serialization"
)
workflow = Workflow(
id="serialization-demo-workflow",
name="Serialization Demo Workflow",
description="Workflow used to demonstrate serialization and persistence APIs.",
db=workflow_db,
steps=[research_step, write_step],
metadata={"owner": "cookbook", "topic": "serialization"},
)
# ---------------------------------------------------------------------------
# Run Workflow
# ---------------------------------------------------------------------------
if __name__ == "__main__":
workflow_dict = workflow.to_dict()
print("Serialized workflow dictionary")
print(json.dumps(workflow_dict, indent=2)[:1200])
version = workflow.save(db=workflow_db, label="serialization-demo")
print(f"\nSaved workflow version: {version}")
loaded_workflow = Workflow.load(
id="serialization-demo-workflow",
db=workflow_db,
label="serialization-demo",
)
if loaded_workflow is None:
print("Failed to load workflow from the database.")
else:
step_names = []
if isinstance(loaded_workflow.steps, list):
step_names = [
step.name for step in loaded_workflow.steps if hasattr(step, "name")
]
print("\nLoaded workflow summary")
print(f" Name: {loaded_workflow.name}")
print(f" Description: {loaded_workflow.description}")
print(f" Steps: {step_names}")
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 fastapi openai 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
Run the example
Save the code above as
workflow_serialization.py, then run:python workflow_serialization.py