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

# AgentOps Integration

> Initialize AgentOps and auto-log a GPT-4o Agno agent's model calls.

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-5.6-luna"))


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

## Run the Example

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

**1. Install dependencies**

```bash theme={null}
uv pip install -U agno agentops openai
```

**2. Export your API keys**

```bash Mac/Linux theme={null}
export AGENTOPS_API_KEY="your_agentops_api_key_here"
export OPENAI_API_KEY="your_openai_api_key_here"
```

```bash Windows theme={null}
$Env:AGENTOPS_API_KEY="your_agentops_api_key_here"
$Env:OPENAI_API_KEY="your_openai_api_key_here"
```

**3. Run the example**

Save the code above as `agent_ops.py`, then run:

```bash theme={null}
python agent_ops.py
```

Full source: [cookbook/observability/agent\_ops.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/observability/agent_ops.py)


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