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

# AgentOps Integration

> Demonstrates logging Agno model calls with AgentOps.

```python agent_ops.py theme={null}
"""
AgentOps Integration
====================

Demonstrates logging Agno model calls with AgentOps.
"""

import agentops
from agno.agent import Agent
from agno.models.openai import OpenAIChat

# ---------------------------------------------------------------------------
# Setup
# ---------------------------------------------------------------------------
# Initialize AgentOps
agentops.init()


# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(model=OpenAIChat(id="gpt-4o"))


# ---------------------------------------------------------------------------
# Run Example
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    response = agent.run("Share a 2 sentence horror story")
    print(response.content)
```

## Run the Example

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno agentops openai
    ```
  </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 `agent_ops.py`, then run:

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

Full source: [cookbook/observability/agent\_ops.py](https://github.com/agno-agi/agno/blob/main/cookbook/observability/agent_ops.py)