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

# Dynamic Instructions

This example demonstrates how to create dynamic instructions that change based on session state, allowing personalized agent behavior for different users.

## Code

```python dynamic_instructions.py theme={null}
from agno.agent import Agent
from agno.run import RunContext

def get_instructions(run_context: RunContext):
    if not run_context.session_state:
        run_context.session_state = {}

    if run_context.session_state.get("current_user_id"):
        return f"Make the story about {run_context.session_state.get('current_user_id')}."

    return "Make the story about the user."


agent = Agent(instructions=get_instructions)
agent.print_response("Write a 2 sentence story", user_id="john.doe")
```

## Usage

<Steps>
  <Step title="Create a Python file">
    Create `dynamic_instructions.py` with the code above.
  </Step>

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

  <Step title="Install dependencies">
    ```bash theme={null}
    uv pip install -U agno 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 Agent">
    ```bash theme={null}
    python dynamic_instructions.py
    ```
  </Step>
</Steps>