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This example demonstrates how to collect and analyze agent metrics including message-level metrics, run metrics, and session metrics for performance monitoring.
Code
from agno.agent import Agent
from agno.db.sqlite import SqliteDb
from agno.models.openai import OpenAIResponses
from agno.tools.yfinance import YFinanceTools
from rich.pretty import pprint
agent = Agent(
model=OpenAIResponses(id="gpt-5.2"),
tools=[YFinanceTools()],
markdown=True,
session_id="test-session-metrics",
db=SqliteDb(db_file="tmp/agents.db"),
)
run_response = agent.run("What is the stock price of NVDA?")
# Print metrics per message
if run_response and run_response.messages:
for message in run_response.messages:
if message.role == "assistant":
if message.content:
print(f"Message: {message.content[:100]}...")
elif message.tool_calls:
print(f"Tool calls: {len(message.tool_calls)} tool call(s)")
print("---" * 5, "Message Metrics", "---" * 5)
if message.metrics:
pprint(message.metrics)
else:
print("No metrics available for this message")
print("---" * 20)
# Print the run metrics
print("---" * 5, "Run Metrics", "---" * 5)
if run_response and run_response.metrics:
pprint(run_response.metrics)
else:
print("No run metrics available")
# Print the session metrics
print("---" * 5, "Session Metrics", "---" * 5)
session_metrics = agent.get_session_metrics()
if session_metrics:
pprint(session_metrics)
else:
print("No session metrics available")
Usage
Create a Python file
Create agent_metrics.py with the code above.
Set up your virtual environment
uv venv --python 3.12
source .venv/bin/activate
Install dependencies
uv pip install -U agno openai yfinance
Export your OpenAI API key
export OPENAI_API_KEY="your_openai_api_key_here"