> ## Documentation Index
> Fetch the complete documentation index at: https://agno-v2-update-deprecated-models.mintlify.site/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent Metrics and Performance Monitoring

This example demonstrates how to collect and analyze agent metrics including message-level metrics, run metrics, and session metrics for performance monitoring.

## Code

```python agent_metrics.py theme={null}
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

<Steps>
  <Step title="Create a Python file">
    Create `agent_metrics.py` with the code above.
  </Step>

  <Snippet file="create-venv-step.mdx" />

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno openai yfinance
    ```
  </Step>

  <Step title="Export your OpenAI API key">
    <CodeGroup>
      ```bash Mac/Linux theme={null}
      export OPENAI_API_KEY="your_openai_api_key_here"
      ```

      ```bash Windows theme={null}
      $Env:OPENAI_API_KEY="your_openai_api_key_here"
      ```
    </CodeGroup>
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python agent_metrics.py
    ```
  </Step>
</Steps>