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

# Agentic State

This example demonstrates how to enable agentic session state management, allowing the agent to automatically update and manage session state based on conversation context. The agent can modify the shopping list based on user interactions.

<Steps>
  <Step title="Create a Python file">
    ```python agentic_session_state.py theme={null}
    from agno.agent import Agent
    from agno.db.sqlite import SqliteDb
    from agno.models.openai import OpenAIResponses

    db = SqliteDb(db_file="tmp/agents.db")
    agent = Agent(
        model=OpenAIResponses(id="gpt-5.2"),
        db=db,
        session_state={"shopping_list": []},
        add_session_state_to_context=True,
        enable_agentic_state=True,
    )

    agent.print_response("Add milk, eggs, and bread to the shopping list", stream=True)

    agent.print_response("I picked up the eggs, now what's on my list?", stream=True)

    print(f"Session state: {agent.get_session_state()}")
    ```
  </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">
    <Snippet file="set-openai-key.mdx" />
  </Step>

  <Step title="Run Agent">
    ```bash theme={null}
    python agentic_session_state.py
    ```
  </Step>
</Steps>