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

# Tool Call Metrics

> Demonstrates tool execution timing metrics.

Demonstrates tool execution timing metrics. Each tool call records start\_time, end\_time, and duration.

```python tool_call_metrics.py theme={null}
"""
Tool Call Metrics
=============================

Demonstrates tool execution timing metrics.
Each tool call records start_time, end_time, and duration.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIChat
from agno.tools.yfinance import YFinanceTools
from rich.pretty import pprint

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"),
    tools=[YFinanceTools()],
    markdown=True,
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    run_output = agent.run("What is the stock price of AAPL and NVDA?")

    # Run-level metrics show total tokens across all model calls
    print("=" * 50)
    print("RUN METRICS")
    print("=" * 50)
    pprint(run_output.metrics)

    # Each tool call in the run carries its own timing metrics
    print("=" * 50)
    print("TOOL CALL METRICS")
    print("=" * 50)
    if run_output.tools:
        for tool_call in run_output.tools:
            print(f"Tool: {tool_call.tool_name}")
            if tool_call.metrics:
                pprint(tool_call.metrics)
            print("-" * 40)

    # Per-model breakdown from details
    print("=" * 50)
    print("MODEL DETAILS")
    print("=" * 50)
    if run_output.metrics and run_output.metrics.details:
        for model_type, model_metrics_list in run_output.metrics.details.items():
            print(f"\n{model_type}:")
            for model_metric in model_metrics_list:
                pprint(model_metric)
```

## Run the Example

<Steps>
  <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 the example">
    Save the code above as `tool_call_metrics.py`, then run:

    ```bash theme={null}
    python tool_call_metrics.py
    ```
  </Step>
</Steps>

Full source: [cookbook/02\_agents/14\_advanced/tool\_call\_metrics.py](https://github.com/agno-agi/agno/blob/main/cookbook/02_agents/14_advanced/tool_call_metrics.py)