> ## Documentation Index
> Fetch the complete documentation index at: https://docs-v1.agno.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Agent Extra Metrics

This example shows how to get special token metrics like audio, cached and reasoning tokens.

## Code

```python cookbook/agent_concepts/other/agent_extra_metrics.py theme={null}
import requests
from agno.agent import Agent
from agno.media import Audio
from agno.models.openai import OpenAIChat

# Fetch the audio file and convert it to a base64 encoded string
url = "https://openaiassets.blob.core.windows.net/$web/API/docs/audio/alloy.wav"
response = requests.get(url)
response.raise_for_status()
wav_data = response.content

agent = Agent(
    model=OpenAIChat(
        id="gpt-4o-audio-preview",
        modalities=["text", "audio"],
        audio={"voice": "sage", "format": "wav"},
    ),
    markdown=True,
    debug_mode=True,
)
agent.print_response(
    "What's in these recording?",
    audio=[Audio(content=wav_data, format="wav")],
)
# Showing input audio, output audio and total audio tokens metrics
print(f"Input audio tokens: {agent.run_response.metrics['input_audio_tokens']}")
print(f"Output audio tokens: {agent.run_response.metrics['output_audio_tokens']}")
print(f"Audio tokens: {agent.run_response.metrics['audio_tokens']}")

agent = Agent(
    model=OpenAIChat(id="o3-mini"),
    markdown=True,
    telemetry=False,
    monitoring=False,
    debug_mode=True,
)
agent.print_response(
    "Solve the trolley problem. Evaluate multiple ethical frameworks. Include an ASCII diagram of your solution.",
    stream=False,
)
# Showing reasoning tokens metrics
print(f"Reasoning tokens: {agent.run_response.metrics['reasoning_tokens']}")


agent = Agent(
    model=OpenAIChat(id="gpt-4o-mini"), markdown=True, telemetry=False, monitoring=False
)
agent.run("Share a 2 sentence horror story" * 150)
agent.print_response("Share a 2 sentence horror story" * 150)
# Showing cached tokens metrics
print(f"Cached tokens: {agent.run_response.metrics['cached_tokens']}")
```

## Usage

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

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

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

  <Step title="Run Agent">
    <CodeGroup>
      ```bash Mac theme={null}
      python cookbook/agent_concepts/other/agent_extra_metrics.py
      ```

      ```bash Windows theme={null}
      python cookbook/agent_concepts/other/agent_extra_metrics.py
      ```
    </CodeGroup>
  </Step>
</Steps>