Copy
Ask AI
"""
Event Storage
=============
Demonstrates storing workflow events while skipping selected high-volume events.
"""
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIChat
from agno.run.agent import (
RunContentEvent,
RunEvent,
ToolCallCompletedEvent,
ToolCallStartedEvent,
)
from agno.run.workflow import WorkflowRunEvent, WorkflowRunOutput
from agno.tools.hackernews import HackerNewsTools
from agno.workflow.parallel import Parallel
from agno.workflow.step import Step
from agno.workflow.workflow import Workflow
# ---------------------------------------------------------------------------
# Create Agents
# ---------------------------------------------------------------------------
news_agent = Agent(
name="News Agent",
model=OpenAIChat(id="gpt-5.2"),
tools=[HackerNewsTools()],
instructions="You are a news researcher. Get the latest tech news and summarize key points.",
)
search_agent = Agent(
name="Search Agent",
model=OpenAIChat(id="gpt-5.2"),
instructions="You are a search specialist. Find relevant information on given topics.",
)
analysis_agent = Agent(
name="Analysis Agent",
model=OpenAIChat(id="gpt-5.2"),
instructions="You are an analyst. Analyze the provided information and give insights.",
)
summary_agent = Agent(
name="Summary Agent",
model=OpenAIChat(id="gpt-5.2"),
instructions="You are a summarizer. Create concise summaries of the provided content.",
)
# ---------------------------------------------------------------------------
# Define Steps
# ---------------------------------------------------------------------------
research_step = Step(name="Research Step", agent=news_agent)
search_step = Step(name="Search Step", agent=search_agent)
# ---------------------------------------------------------------------------
# Helper
# ---------------------------------------------------------------------------
def print_stored_events(run_response: WorkflowRunOutput, example_name: str) -> None:
print(f"\n--- {example_name} - Stored Events ---")
if run_response.events:
print(f"Total stored events: {len(run_response.events)}")
for i, event in enumerate(run_response.events, 1):
print(f" {i}. {event.event}")
else:
print("No events stored")
print()
# ---------------------------------------------------------------------------
# Run Examples
# ---------------------------------------------------------------------------
if __name__ == "__main__":
print("=== Simple Step Workflow with Event Storage ===")
step_workflow = Workflow(
name="Simple Step Workflow",
description="Basic workflow demonstrating step event storage",
db=SqliteDb(session_table="workflow_session", db_file="tmp/workflow.db"),
steps=[research_step, search_step],
store_events=True,
events_to_skip=[
WorkflowRunEvent.step_started,
WorkflowRunEvent.workflow_completed,
RunEvent.run_content,
RunEvent.run_started,
RunEvent.run_completed,
],
)
print("Running Step workflow with streaming...")
for event in step_workflow.run(
input="AI trends in 2024",
stream=True,
stream_events=True,
):
if not isinstance(
event, (RunContentEvent, ToolCallStartedEvent, ToolCallCompletedEvent)
):
print(
f"Event: {event.event if hasattr(event, 'event') else type(event).__name__}"
)
run_response = step_workflow.get_last_run_output()
print("\nStep workflow completed")
print(
f"Total events stored: {len(run_response.events) if run_response and run_response.events else 0}"
)
print_stored_events(run_response, "Simple Step Workflow")
print("=== Parallel Example ===")
parallel_workflow = Workflow(
name="Parallel Research Workflow",
steps=[
Parallel(
Step(name="News Research", agent=news_agent),
Step(name="Web Search", agent=search_agent),
name="Parallel Research",
),
Step(name="Combine Results", agent=analysis_agent),
Step(name="Summarize", agent=summary_agent),
],
db=SqliteDb(
session_table="workflow_parallel", db_file="tmp/workflow_parallel.db"
),
store_events=True,
events_to_skip=[
WorkflowRunEvent.parallel_execution_started,
WorkflowRunEvent.parallel_execution_completed,
],
)
print("Running Parallel workflow...")
for event in parallel_workflow.run(
input="Research machine learning developments",
stream=True,
stream_events=True,
):
if not isinstance(event, RunContentEvent):
print(
f"Event: {event.event if hasattr(event, 'event') else type(event).__name__}"
)
run_response = parallel_workflow.get_last_run_output()
print(f"Parallel workflow stored {len(run_response.events)} events")
print_stored_events(run_response, "Parallel Workflow")
Run the Example
Copy
Ask AI
# Clone and setup repo
git clone https://github.com/agno-agi/agno.git
cd agno/cookbook/04_workflows/06_advanced_concepts/run_control
# Create and activate virtual environment
./scripts/demo_setup.sh
source .venvs/demo/bin/activate
python event_storage.py