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

# Agent with Metrics

## Code

```python cookbook/11_models/groq/metrics.py theme={null}
from agno.agent import Agent, RunOutput
from agno.models.groq import Groq
from agno.tools.yfinance import YFinanceTools
from agno.utils.pprint import pprint_run_response
from rich.pretty import pprint

agent = Agent(
    model=Groq(id="llama-3.3-70b-versatile"),
    tools=[YFinanceTools(stock_price=True)],
    markdown=True,
)

run_output: RunOutput = agent.run("What is the stock price of NVDA")
pprint_run_response(run_output)

# Print metrics per message
if run_output.messages:
    for message in run_output.messages:  # type: ignore
        if message.role == "assistant":
            if message.content:
                print(f"Message: {message.content}")
            elif message.tool_calls:
                print(f"Tool calls: {message.tool_calls}")
            print("---" * 5, "Metrics", "---" * 5)
            pprint(message.metrics)
            print("---" * 20)

# Print the metrics
print("---" * 5, "Collected Metrics", "---" * 5)
pprint(run_output.metrics)  # type: ignore
```

## Usage

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

  <Step title="Set your API key">
    ```bash theme={null}
    export GROQ_API_KEY=xxx
    ```
  </Step>

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

  <Step title="Run Agent">
    ```bash theme={null}
    python cookbook/11_models/groq/metrics.py
    ```
  </Step>
</Steps>