> ## 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.

# Instructions

> Add the current date and time to the agent's context with add_datetime_to_context and a timezone.

```python instructions.py theme={null}
"""
Instructions
=============================

Instructions.
"""

from agno.agent import Agent
from agno.models.openai import OpenAIResponses

# ---------------------------------------------------------------------------
# Create Agent
# ---------------------------------------------------------------------------
agent = Agent(
    model=OpenAIResponses(id="gpt-5.2"),
    add_datetime_to_context=True,
    timezone_identifier="Etc/UTC",
)

# ---------------------------------------------------------------------------
# Run Agent
# ---------------------------------------------------------------------------
if __name__ == "__main__":
    agent.print_response(
        "What is the current date and time? What is the current time in NYC?"
    )
```

## Run the Example

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

**1. Install dependencies**

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

**2. Export your OpenAI API key**

```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"
```

**3. Run the example**

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

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

Full source: [cookbook/02\_agents/03\_context\_management/instructions.py](https://github.com/agno-agi/agno/blob/v3.0.4/cookbook/02_agents/03_context_management/instructions.py)


This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.