"""
Simple Performance Check Workflow
This workflow demonstrates a basic single-agent performance monitoring task.
Use case: Quick system health check during business hours.
An IBM i admin runs this workflow to:
- Get current system performance snapshot
- Identify any immediate performance concerns
- Receive quick recommendations if issues are found
"""
from agno.workflow import Workflow, Step
from agno.db.postgres import PostgresDb
from agents.ibmi_agents import get_performance_agent
from db.session import db_url
# Create performance agent with reasoning enabled
performance_agent = get_performance_agent(model="openai:gpt-4o", enable_reasoning=True, debug_mode=False)
# Define workflow step
health_check_step = Step(
name="PerformanceHealthCheck",
agent=performance_agent,
description="Quick system health check with performance metrics analysis",
)
# Create workflow
simple_performance_workflow = Workflow(
name="IBM i Quick Performance Check",
description="Quick system health check for immediate performance concerns",
steps=[health_check_step],
db=PostgresDb(id="agno-storage", db_url=db_url),
)
if __name__ == "__main__":
# Run the workflow with specific instructions
simple_performance_workflow.print_response(
message="""
Perform a quick system health check:
1. Check overall system status and activity
2. Review CPU utilization patterns
3. Check memory pool utilization
4. Identify any immediate performance concerns
5. Provide a brief summary with actionable recommendations if issues found
Keep the response concise - this is a quick health check.
""",
markdown=True,
stream=True,
stream_intermediate_steps=True,
)
