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.

1. Create a Python file

   agentic_session_state.py

   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()}")
   
2. Set up your virtual environment

   Mac

   uv venv --python 3.12
   source .venv/bin/activate
   

   uv venv --python 3.12
   .venv\Scripts\activate
   
3. Install dependencies

   uv pip install -U agno openai
   
4. Export your OpenAI API key

   Set OpenAI Key

   Set your OPENAI_API_KEY as an environment variable. You can get one from OpenAI.

   Mac

   export OPENAI_API_KEY=sk-***
   

   setx OPENAI_API_KEY sk-***
   
5. Run Agent

   python agentic_session_state.py